2024

ARIF, M.; REHMAN, F.; SEKANINA, L.; MALIK, A. A comprehensive survey of evolutionary algorithms and metaheuristics in brain EEG-based applications. Journal of Neural Engineering, 2024, vol. 21, no. 5, p. 1-25. ISSN: 1741-2552. Detail

DENIZIAK, S.; SITEK, P.; JENIHHIN, M.; STEININGER, A.; SCHÖLZEL, M.; MRÁZEK, V. 27th International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Kliece: Institute of Electrical and Electronics Engineers, 2024. p. 0-0. ISBN: 979-8-3503-5934-3. Detail

HUSA, J.; SEKANINA, L. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Genetic Programming and Evolvable Machines, 2024, vol. 25, no. 3, p. 1-32. ISSN: 1389-2576. Detail

KLHŮFEK, J.; ŠAFÁŘ, M.; MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L. Exploiting Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators. In 2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS). Kielce: Institute of Electrical and Electronics Engineers, 2024. p. 1-6. ISBN: 979-8-3503-5934-3. Detail

VAŠÍČEK, Z.; MRÁZEK, V.; SEKANINA, L. Automated Verifiability-Driven Design of Approximate Circuits: Exploiting Error Analysis. In 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE). Valencia: Institute of Electrical and Electronics Engineers, 2024. p. 1-6. ISBN: 979-8-3503-4859-0. Detail

2023

GIACOBINI, M.; PAPPA, G.; VAŠÍČEK, Z. Genetic Programming. LNCS 13986. Cham: Springer Verlag, 2023. p. 0-0. ISBN: 978-3-031-29572-0. Detail

HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. p. 0-0. Detail

HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). Antwerp: Institute of Electrical and Electronics Engineers, 2023. p. 1-2. ISBN: 978-3-9819263-7-8. Detail

HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. MODEE-LID: Multiobjective Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). Tallinn: Institute of Electrical and Electronics Engineers, 2023. p. 155-160. ISBN: 979-8-3503-3277-3. Detail

HURTA, M.; SCHWARZEROVÁ, J.; NAGELE, T.; WECKWERTH, W.; PROVAZNÍK, V.; SEKANINA, L. Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023). Istanbul: Institute of Electrical and Electronics Engineers, 2023. p. 3782-3787. ISBN: 979-8-3503-3748-8. Detail

HURTA, M.; SCHWARZEROVÁ, J.; PROVAZNÍK, V.; WECKWERTH, W.; WALTHER, D.; SEKANINA, L. Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants. Program and Abstract Book: Swedish Bioinformatics Workshop 2023. Stockholm: 2023. p. 49-49. Detail

HUSA, J.; SEKANINA, L. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. p. 0-0. Detail

JŮZA, T.; SEKANINA, L. GPAM: Genetic Programming with Associative Memory. In 26th European Conference on Genetic Programming (EuroGP) Held as Part of EvoStar. Lecture Notes in Computer Science. LNCS. Cham: Springer Nature Switzerland AG, 2023. p. 68-83. ISBN: 978-3-031-29572-0. ISSN: 0302-9743. Detail

KALKREUTH, R.; VAŠÍČEK, Z.; HUSA, J.; VERMETTEN, D.; YE, F.; THOMAS, B. General Boolean Function Benchmark Suite. In FOGA 2023 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Potsdam: Association for Computing Machinery, 2023. p. 84-95. ISBN: 979-8-4007-0202-0. Detail

KALKREUTH, R.; VAŠÍČEK, Z.; HUSA, J.; VERMETTEN, D.; YE, F.; THOMAS, B. Towards a General Boolean Function Benchmark Suite. In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2023. p. 591-594. ISBN: 979-8-4007-0120-7. Detail

LOJDA, J.; PÁNEK, R.; SEKANINA, L.; KOTÁSEK, Z. Automated Design and Usage of the Fault-Tolerant Dynamic Partial Reconfiguration Controller for FPGAs. Microelectronics Reliability, 2023, vol. 2023, no. 144, p. 1-16. ISSN: 0026-2714. Detail

MRÁZEK, V. Approximation of Hardware Accelerators driven by Machine-Learning Models : (Embedded Tutorial). In Proceedings of International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS '23). Tallinn: Institute of Electrical and Electronics Engineers, 2023. p. 91-92. ISBN: 979-8-3503-3277-3. Detail

MRÁZEK, V.; JAWED, S.; ARIF, M.; MALIK, A. Effective EEG Feature Selection for Interpretable MDD (Major Depressive Disorder) Classification. In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference. Lisbon: Association for Computing Machinery, 2023. p. 1427-1435. ISBN: 979-8-4007-0119-1. Detail

PIŇOS, M.; MRÁZEK, V.; SEKANINA, L. Prediction of Inference Energy on CNN Accelerators Supporting Approximate Circuits. In 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems. Talinn: Institute of Electrical and Electronics Engineers, 2023. p. 45-50. ISBN: 979-8-3503-3277-3. Detail

PIŇOS, M.; MRÁZEK, V.; VAVERKA, F.; VAŠÍČEK, Z.; SEKANINA, L. Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023, vol. 13, no. 1, p. 212-224. ISSN: 2156-3357. Detail

PRABAKARAN, B.; MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L.; SHAFIQUE, M. Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. In 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD). San Francisco: Institute of Electrical and Electronics Engineers, 2023. p. 1-9. ISBN: 979-8-3503-1559-2. Detail

SEDLÁČEK, M.; SEKANINA, L. Evolution of Editing Scripts From Examples. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '23). Lisbon: Association for Computing Machinery, 2023. p. 803-806. ISBN: 979-8-4007-0120-7. Detail

SEKANINA, L.; MRÁZEK, V.; PIŇOS, M. Hardware-Aware Evolutionary Approaches to Deep Neural Networks. In Handbook of Evolutionary Machine Learning. Genetic and Evolutionary Computation. Singapore: Springer Nature Singapore, 2023. p. 367-396. ISBN: 978-981-9938-13-1. Detail

2022

ČEŠKA, M.; MATYÁŠ, J.; MRÁZEK, V.; SEKANINA, L.; VAŠÍČEK, Z.; VOJNAR, T. SagTree: Towards Efficient Mutation in Evolutionary Circuit Approximation. Swarm and Evolutionary Computation, 2022, vol. 69, no. 100986, p. 1-10. ISSN: 2210-6502. Detail

ČEŠKA, M.; MATYÁŠ, J.; MRÁZEK, V.; VOJNAR, T. Designing Approximate Arithmetic Circuits with Combined Error Constraints. In Proceeding of 25th Euromicro Conference on Digital System Design 2022 (DSD'22). Gran Canaria: Institute of Electrical and Electronics Engineers, 2022. p. 785-792. ISBN: 978-1-6654-7404-7. Detail

HANIF, M.; MRÁZEK, V.; SHAFIQUE, M. Approximate Computing Architectures. In Handbook of Computer Architecture. Handbook of Computer Architecture. Singapore: Springer Nature Singapore, 2022. p. 1-41. ISBN: 978-981-1564-01-7. Detail

HURTA, M.; DRAHOŠOVÁ, M.; MRÁZEK, V. Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier. In Parallel Problem Solving from Nature - PPSN XVII. Lecture Notes in Computer Science. Dortmund: Springer Nature Switzerland AG, 2022. p. 491-504. ISBN: 978-3-031-14713-5. Detail

HURTA, M.; DRAHOŠOVÁ, M.; SEKANINA, L.; SMITH, S.; ALTY, J. Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. In Genetic Programming, 25th European Conference, EuroGP 2022. Lecture Notes in Computer Science. Madrid: Springer Nature Switzerland AG, 2022. p. 85-101. ISBN: 978-3-031-02055-1. Detail

KALKREUTH, R.; DAL PICCOL SOTTO, L.; VAŠÍČEK, Z. Graph-based Genetic Programming. In GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. Boston: Association for Computing Machinery, 2022. p. 958-982. ISBN: 978-1-4503-9268-6. Detail

KLHŮFEK, J.; MRÁZEK, V. ArithsGen: Arithmetic Circuit Generator for Hardware Accelerators. In 2022 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS '22). Prague: Institute of Electrical and Electronics Engineers, 2022. p. 44-47. ISBN: 978-1-6654-9431-1. Detail

MARCHISIO, A.; MRÁZEK, V.; MASSA, A.; BUSSOLINO, B.; MARTINA, M.; SHAFIQUE, M. RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. IEEE Access, 2022, vol. 2022, no. 10, p. 109043-109055. ISSN: 2169-3536. Detail

MRÁZEK, V. Optimization of BDD-based Approximation Error Metrics Calculations. In IEEE Computer Society Annual Symposium on VLSI (ISVLSI '22). Paphos: Institute of Electrical and Electronics Engineers, 2022. p. 86-91. ISBN: 978-1-6654-6605-9. Detail

PIŇOS, M.; MRÁZEK, V.; SEKANINA, L. Evolutionary Approximation and Neural Architecture Search. Genetic Programming and Evolvable Machines, 2022, vol. 23, no. 3, p. 351-374. ISSN: 1389-2576. Detail

SEKANINA, L.; VAŠÍČEK, Z.; MRÁZEK, V. Inexact Arithmetic Operators. In Approximate Computing Techniques. Cham: Springer International Publishing, 2022. p. 81-107. ISBN: 978-3-030-94704-0. Detail

VÁLEK, M.; SEKANINA, L. Evolutionary Approximation in Non-Local Means Image Filters. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Praha: Institute of Electrical and Electronics Engineers, 2022. p. 2759-2766. ISBN: 978-1-6654-5258-8. Detail

2021

BARBARESCHI, M.; BOSIO, A.; SEKANINA, L.; BRAUN, C. Editorial: Special issue on Advancing on Approximate Computing: Methodologies, Architectures and Algorithms. Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications. 2021. p. 54-55. ISSN: 0167-739X. Detail

BIDLO, M. Evolution of Approximate Functions for Image Thresholding. In IEEE Symposium Series on Computational Intelligence (IEEE SSCI). Los Alamos: IEEE Computer Society, 2021. p. 1-6. ISBN: 978-1-7281-9048-8. Detail

HODAŇ, D.; MRÁZEK, V.; VAŠÍČEK, Z. Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design. Genetic Programming and Evolvable Machines, 2021, vol. 22, no. 4, p. 539-572. ISSN: 1389-2576. Detail

KOCNOVÁ, J.; VAŠÍČEK, Z. Resynthesis of logic circuits using machine learning and reconvergent paths. In 2021 24th Euromicro Conference on Digital System Design (DSD). Palermo: Institute of Electrical and Electronics Engineers, 2021. p. 69-76. ISBN: 978-1-6654-2704-3. Detail

MARCHISIO, A.; MRÁZEK, V.; HANIF, M.; SHAFIQUE, M. DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, vol. 40, no. 9, p. 1768-1781. ISSN: 1937-4151. Detail

MARCHISIO, A.; MRÁZEK, V.; HANIF, M.; SHAFIQUE, M. FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. IEEE Trans. on VLSI Systems., 2021, vol. 29, no. 4, p. 716-729. ISSN: 1063-8210. Detail

PIŇOS, M.; MRÁZEK, V.; SEKANINA, L. Evolutionary Neural Architecture Search Supporting Approximate Multipliers. In Genetic Programming, 24th European Conference, EuroGP 2021. Lecture Notes in Computer Science, vol 12691. Seville: Springer Nature Switzerland AG, 2021. p. 82-97. ISBN: 978-3-030-72812-0. Detail

SEKANINA, L. Evolutionary Algorithms in Approximate Computing: A Survey. Journal of Integrated Circuits and Systems, 2021, vol. 16, no. 2, p. 1-12. ISSN: 1872-0234. Detail

SEKANINA, L. Neural Architecture Search and Hardware Accelerator Co-Search: A Survey. IEEE Access, 2021, vol. 9, no. 9, p. 151337-151362. ISSN: 2169-3536. Detail

SHAFIQUE, M.; STEININGER, A.; SEKANINA, L.; KRSTIĆ, M.; STOJANOVIC, G.; MRÁZEK, V. 24th International Symposium on Design and Diagnostics of Electronic Circuits & Systems. USA: Institute of Electrical and Electronics Engineers, 2021. p. 0-0. ISBN: 978-1-6654-3595-6. Detail

VAŠÍČEK, Z. Synthesis of approximate circuits for LUT-based FPGAs. In 24th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). Vienna: IEEE Computer Society, 2021. p. 17-22. ISBN: 978-1-6654-3595-6. Detail

2020

ANSARI, M.; MRÁZEK, V.; COCKBURN, B.; SEKANINA, L.; VAŠÍČEK, Z.; HAN, J. Improving the Accuracy and Hardware Efficiency of Neural Networks Using Approximate Multipliers. IEEE Trans. on VLSI Systems., 2020, vol. 28, no. 2, p. 317-328. ISSN: 1063-8210. Detail

BIDLO, M. Evolution of Cellular Automata with Conditionally Matching Rules for Image Filtering. In 2020 IEEE Congress on Evolutionary Computation (CEC). Los Alamitos: IEEE Computational Intelligence Society, 2020. p. 1-8. ISBN: 978-1-7281-6929-3. Detail

BIDLO, M.; DOBEŠ, M. Evolutionary Development of Generic Sorting Networks by Means of Rewriting Systems. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2020, vol. 24, no. 2, p. 232-244. ISSN: 1089-778X. Detail

BIDLO, M.; ŽUFAN, P. On Comparison of Some Representations for the Evolution of Quantum Operators. In 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020. Canberra: Institute of Electrical and Electronics Engineers, 2020. p. 2101-2108. ISBN: 978-1-7281-2547-3. Detail

BOSIO, A.; DI CARLO, S.; GIRARD, P.; SANCHEZ, E.; SAVINO, A.; SEKANINA, L.; TRAIOLA, M.; VAŠÍČEK, Z.; VIRAZEL, A. Design, Verification, Test and In-Field Implications of Approximate Computing Systems. In 25th IEEE European Test Symposium. Los Alamitos: Institute of Electrical and Electronics Engineers, 2020. p. 1-10. ISBN: 978-1-7281-4312-5. Detail

COLUCCI, A.; MARCHISIO, A.; BUSSOLINO, B.; MRÁZEK, V.; MARTINA, M.; MASERA, G.; SHAFIQUE, M. A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. In 2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)}. Singapore: Institute of Electrical and Electronics Engineers, 2020. p. 34-36. ISBN: 978-1-7281-9198-0. Detail

ČEŠKA, M.; MATYÁŠ, J.; MRÁZEK, V.; SEKANINA, L.; VAŠÍČEK, Z.; VOJNAR, T. Adaptive verifiability-driven strategy for evolutionary approximation of arithmetic circuits. APPLIED SOFT COMPUTING, 2020, vol. 95, no. 106466, p. 1-17. ISSN: 1568-4946. Detail

ČEŠKA, M.; MATYÁŠ, J.; MRÁZEK, V.; VOJNAR, T. Satisfiability Solving Meets Evolutionary Optimisation in Designing Approximate Circuits. In Theory and Applications of Satisfiability Testing - SAT 2020. Lecture Notes in Computer Science. Alghero: Springer International Publishing, 2020. p. 481-491. ISBN: 978-3-030-51824-0. Detail

GROCHOL, D.; SEKANINA, L. Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing. In IEEE Congress on Evolutionary Computation. Los Alamitos: IEEE Computational Intelligence Society, 2020. p. 1-8. ISBN: 978-1-7281-6929-3. Detail

HODAŇ, D.; MRÁZEK, V.; VAŠÍČEK, Z. Semantically-Oriented Mutation Operator in Cartesian Genetic Programming for Evolutionary Circuit Design. In GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference. Cancún: Association for Computing Machinery, 2020. p. 940-948. ISBN: 978-1-4503-7128-5. Detail

HU, T.; NICOLAU, M.; SEKANINA, L. Special issue on highlights of genetic programming 2019 events. Genetic Programming and Evolvable Machines. 2020. p. 283-285. ISSN: 1389-2576. Detail

HUSA, J.; SEKANINA, L. Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity. In 2020 IEEE Congress on Evolutionary Computation (CEC). Los Alamitos: IEEE Computational Intelligence Society, 2020. p. 1-8. ISBN: 978-1-7281-6929-3. Detail

KOCNOVÁ, J.; VAŠÍČEK, Z. EA-based Resynthesis: An Efficient Tool for Optimization of Digital Circuits. Genetic Programming and Evolvable Machines, 2020, vol. 21, no. 3, p. 287-319. ISSN: 1389-2576. Detail

MARCHISIO, A.; MASSA, A.; MRÁZEK, V.; BUSSOLINO, B.; MARTINA, M.; SHAFIQUE, M. NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. In IEEE/ACM International Conference on Computer-Aided Design (ICCAD '20). Virtual Event: Association for Computing Machinery, 2020. p. 1-9. ISBN: 978-1-4503-8026-3. Detail

MARCHISIO, A.; MRÁZEK, V.; HANIF, M.; SHAFIQUE, M. ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. In Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020. Grenoble: Institute of Electrical and Electronics Engineers, 2020. p. 1205-1210. ISBN: 978-3-9819263-4-7. Detail

MRÁZEK, V.; SEKANINA, L.; VAŠÍČEK, Z. Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2020, vol. 10, no. 4, p. 406-418. ISSN: 2156-3357. Detail

MRÁZEK, V.; SEKANINA, L.; VAŠÍČEK, Z. Using Libraries of Approximate Circuits in Design of Hardware Accelerators of Deep Neural Networks. In 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems. Genoa: Institute of Electrical and Electronics Engineers, 2020. p. 243-247. ISBN: 978-1-7281-4922-6. Detail

PRABAKARAN, B.; MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L.; SHAFIQUE, M. ApproxFPGAs: Embracing ASIC-based Approximate Arithmetic Components for FPGA-Based Systems. In 2020 57th ACM/IEEE Design Automation Conference (DAC). San Francisco: Institute of Electrical and Electronics Engineers, 2020. p. 1-6. ISBN: 978-1-4503-6725-7. Detail

VAVERKA, F.; MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L. TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU. In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE). Grenoble: Institute of Electrical and Electronics Engineers, 2020. p. 294-297. ISBN: 978-3-9819263-4-7. Detail

2019

BADÁŇ, F.; SEKANINA, L. Optimizing Convolutional Neural Networks for Embedded Systems By Means of Neuroevolution. In Theory and Practice of Natural Computing. LNCS 11934. Cham: Springer International Publishing, 2019. p. 109-121. ISBN: 978-3-030-34499-3. Detail

BIDLO, M. Advances in the Evolution of Complex Cellular Automata. In Computational Intelligence. International Joint Conference, IJCCI 2016 Porto, Portugal, November 9-11, 2016 Revised Selected Papers. Cham: Springer International Publishing, 2019. p. 123-146. ISBN: 978-3-319-99282-2. Detail

BIDLO, M. Comparison of Evolutionary Development of Cellular Automata Using Various Representations. Mendel Journal series, 2019, vol. 2019, no. 1, p. 95-102. ISSN: 1803-3814. Detail

BIDLO, M. Evolution of Cellular Automata Development Using Various Representations. In GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Praha: Association for Computing Machinery, 2019. p. 107-108. ISBN: 978-1-4503-6748-6. Detail

BIDLO, M.; KORGO, J. Ant Colony Optimisation for Performing Computational Task in Cellular Automata. Mendel Journal series, 2019, vol. 25, no. 1, p. 147-156. ISSN: 1803-3814. Detail

DRAHOŠOVÁ, M.; SEKANINA, L.; WIGLASZ, M. Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming. EVOLUTIONARY COMPUTATION, 2019, vol. 27, no. 3, p. 497-523. ISSN: 1063-6560. Detail

HUSA, J. Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions. In Genetic Programming 22st European Conference, EuroGP 2019, Proceedings. Cham: Springer International Publishing, 2019. p. 228-244. ISBN: 978-3-030-14811-9. Detail

HUSA, J. Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods. In GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Praha: Association for Computing Machinery, 2019. p. 342-343. ISBN: 978-1-4503-6748-6. Detail

KOCNOVÁ, J.; VAŠÍČEK, Z. EA-based refactoring of mapped logic circuits. In 2019 IEEE International Symposium on Circuits and Systems (ISCAS). Red Hook, NY: IEEE Computer Society Press, 2019. p. 1-5. ISBN: 978-1-7281-0397-6. Detail

KOCNOVÁ, J.; VAŠÍČEK, Z. Impact of subcircuit selection on the efficiency of CGP-based optimization of gate-level circuits. In GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2019. p. 377-378. ISBN: 978-1-4503-6748-6. Detail

KOCNOVÁ, J.; VAŠÍČEK, Z. Towards a Scalable EA-based Optimization of Digital Circuits. In Genetic Programming 22nd European Conference, EuroGP 2019. Cham: Springer International Publishing, 2019. p. 81-97. ISBN: 978-3-030-16669-4. Detail

KONČAL, O.; SEKANINA, L. Cartesian Genetic Programming as an Optimizer of Programs Evolved with Geometric Semantic Genetic Programming. In Genetic Programming 22nd European Conference, EuroGP 2019. Cham: Springer International Publishing, 2019. p. 98-113. ISBN: 978-3-030-16669-4. Detail

MRÁZEK, V.; HANIF, M.; VAŠÍČEK, Z.; SEKANINA, L.; SHAFIQUE, M. autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. In The 56th Annual Design Automation Conference 2019 (DAC '19). Las Vegas: Association for Computing Machinery, 2019. p. 1-6. ISBN: 978-1-4503-6725-7. Detail

MRÁZEK, V.; SEKANINA, L.; DOBAI, R.; SÝS, M.; ŠVENDA, P. Efficient On-Chip Randomness Testing Utilizing Machine Learning Techniques. IEEE Trans. on VLSI Systems., 2019, vol. 27, no. 12, p. 2734-2744. ISSN: 1063-8210. Detail

MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L.; HANIF, M.; SHAFIQUE, M. ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. In Proceedings of the IEEE/ACM International Conference on Computer-Aided Design. Denver: Institute of Electrical and Electronics Engineers, 2019. p. 1-8. ISBN: 978-1-7281-2350-9. Detail

REK, P.; SEKANINA, L. TypeCNN: CNN Development Framework With Flexible Data Types. In Design, Automation and Test in Europe Conference. Florence: European Design and Automation Association, 2019. p. 292-295. ISBN: 978-3-9819263-2-3. Detail

SEKANINA, L.; HU, T.; LOURENÇO, N.; RICHTER, H.; GARCÍA-SÁNCHEZ, P. Genetic Programming 22nd European Conference. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019. p. 0-0. ISBN: 978-3-030-16669-4. Detail

SEKANINA, L.; VAŠÍČEK, Z.; MRÁZEK, V. Automated Search-Based Functional Approximation for Digital Circuits. In Approximate Circuits - Methodologies and CAD. Heidelberg: Springer International Publishing, 2019. p. 175-203. ISBN: 978-3-319-99322-5. Detail

STAMENKOVIC, Z.; BOSIO, A.; CSEREY, G.; NOVÁK, O.; PLESKACZ, W.; SEKANINA, L.; STEININGER, A.; STOJANOVIC, G.; STOPJAKOVÁ, V. International Symposium on Design and Diagnostics of Electronic Circuits and Systems. In 2019 IEEE International Test Conference. Washington, DC: Institute of Electrical and Electronics Engineers, 2019. p. 1-4. ISBN: 978-1-7281-4823-6. Detail

VAŠÍČEK, Z. Formal Methods for Exact Analysis of Approximate Circuits. IEEE Access, 2019, vol. 7, no. 1, p. 177309-177331. ISSN: 2169-3536. Detail

VAŠÍČEK, Z.; MRÁZEK, V.; SEKANINA, L. Automated Circuit Approximation Method Driven by Data Distribution. In Design, Automation and Test in Europe Conference. Florence: European Design and Automation Association, 2019. p. 96-101. ISBN: 978-3-9819263-2-3. Detail

2018

CASTELLI, M.; SEKANINA, L.; ZHANG, M.; CAGNONI, S.; GARCÍA-SÁNCHEZ, P. 21st European Conference on Genetic Programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2018. p. 0-0. ISBN: 978-3-319-77552-4. Detail

GROCHOL, D.; SEKANINA, L. Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs. In Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems. Edinburgh: Institute of Electrical and Electronics Engineers, 2018. p. 257-263. ISBN: 978-1-5386-7753-7. Detail

GROCHOL, D.; SEKANINA, L. Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions. In European Conference on Genetic Programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2018. p. 187-202. ISBN: 978-3-319-77553-1. Detail

HUSA, J.; KALKREUTH, R. A Comparative Study on Crossover in Cartesian Genetic Programming. In Genetic Programming 21st European Conference, EuroGP 2018, Proceedings. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018. p. 203-219. ISBN: 978-3-319-77553-1. ISSN: 0302-9743. Detail

MRÁZEK, V.; SÝS, M.; VAŠÍČEK, Z.; SEKANINA, L.; MATYÁŠ, V. Evolving Boolean Functions for Fast and Efficient Randomness Testing. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18). Kyoto: Association for Computing Machinery, 2018. p. 1302-1309. ISBN: 978-1-4503-5618-3. Detail

MRÁZEK, V.; VAŠÍČEK, Z. Evolutionary Design of Large Approximate Adders Optimized for Various Error Criteria. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '18). Kyoto: Association for Computing Machinery, 2018. p. 294-295. ISBN: 978-1-4503-5764-7. Detail

MRÁZEK, V.; VAŠÍČEK, Z.; HRBÁČEK, R. Role of circuit representation in evolutionary design of energy-efficient approximate circuits. IET Computers and Digital Techniques, 2018, vol. 2018, no. 4, p. 139-149. ISSN: 1751-8601. Detail

MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L. Design of Quality-Configurable Approximate Multipliers Suitable for Dynamic Environment. In Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems. Edinburgh: Institute of Electrical and Electronics Engineers, 2018. p. 264-271. ISBN: 978-1-5386-7753-7. Detail

MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L.; JIANG, H.; HAN, J. Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error. IEEE Trans. on VLSI Systems., 2018, vol. 26, no. 11, p. 2572-2576. ISSN: 1063-8210. Detail

SEKANINA, L. Approximate Computing: An Old Job for Cartesian Genetic Programming?. In Inspired by Nature. Emergence, Complexity and Computation, Vol. 28. Cham: Springer International Publishing, 2018. p. 195-212. ISBN: 978-3-319-67996-9. Detail

SEKANINA, L.; MRÁZEK, V.; VAŠÍČEK, Z. Design Space Exploration for Approximate Implementations of Arithmetic Data Path Primitives. In 25th IEEE International Conference on Electronics Circuits and Systems (ICECS). Bordeaux: IEEE Circuits and Systems Society, 2018. p. 377-380. ISBN: 978-1-5386-9562-3. Detail

SEKANINA, L.; VAŠÍČEK, Z.; BOSIO, A.; TRAIOLA, M.; RECH, P.; OLIVEIRA, D.; FERNANDES, F.; DI CARLO, S. Special Session: How Approximate Computing impacts Verification, Test and Reliability. 2018 IEEE 36th VLSI Test Symposium. San Francisco: IEEE Computer Society, 2018. p. 0-0. ISBN: 978-1-5386-3774-6. Detail

TREFZER, M.; SEKANINA, L. Guest Editorial: Bio-inspired Hardware and Evolvable Systems. IET Computers and Digital Techniques. 2018. p. 121-121. ISSN: 1751-8601. Detail

VAŠÍČEK, Z. Bridging the Gap Between Evolvable Hardware and Industry Using Cartesian Genetic Programming. In Inspired by Nature. Emergence, Complexity and Computation, Vol. 28. Cham: Springer International Publishing, 2018. p. 39-55. ISBN: 978-3-319-67996-9. Detail

WIGLASZ, M.; SEKANINA, L. Cooperative Coevolutionary Approximation in HOG-based Human Detection Embedded System. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018). Bengaluru: Institute of Electrical and Electronics Engineers, 2018. p. 1313-1320. ISBN: 978-1-5386-9276-9. Detail

2017

BIDLO, M. Evolution of Cellular Automata-Based Replicating Structures Exhibiting Unconventional Features. In International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers. Computational Intelligence. Cham: Springer International Publishing, 2017. p. 21-41. ISBN: 978-3-319-48506-5. Detail

ČEŠKA, M.; MATYÁŠ, J.; MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L.; VOJNAR, T. Approximating Complex Arithmetic Circuits with Formal Error Guarantees: 32-bit Multipliers Accomplished. In Proceedings of 36th IEEE/ACM International Conference On Computer Aided Design (ICCAD). Irvine, CA: Institute of Electrical and Electronics Engineers, 2017. p. 416-423. ISBN: 978-1-5386-3093-8. Detail

DOBAI, R.; KOŘENEK, J.; SEKANINA, L. Evolutionary design of hash function pairs for network filters. APPLIED SOFT COMPUTING, 2017, vol. 56, no. 7, p. 173-181. ISSN: 1568-4946. Detail

GROCHOL, D.; SEKANINA, L. Comparison of Parallel Linear Genetic Programming Implementations. In Recent Advances in Soft Computing: Proceedings of the 22nd International Conference on Soft Computing (MENDEL 2016) held in Brno, Czech Republic, at June 8-10, 2016. Cham: Springer International Publishing, 2017. p. 64-76. ISBN: 978-3-319-58088-3. Detail

GROCHOL, D.; SEKANINA, L. Multiobjective Evolution of Hash Functions for High Speed Networks. In Proceedings of the 2017 IEEE Congress on Evolutionary Computation. San Sebastian: IEEE Computer Society, 2017. p. 1533-1540. ISBN: 978-1-5090-4600-3. Detail

HUSA, J.; DOBAI, R. Designing Bent Boolean Functions With Parallelized Linear Genetic Programming. In GECCO Companion '17 Proceedings of the Companion Publication of the 2017 on Genetic and Evolutionary Computation Conference. Berlín: Association for Computing Machinery, 2017. p. 1825-1832. ISBN: 978-1-4503-4939-0. Detail

KEŠNER, F.; SEKANINA, L.; BRÁZDIL, M. Modular Framework for Detection of Inter-ictal Spikes in iEEG. In The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'17). Los Alamos: Institute of Electrical and Electronics Engineers, 2017. p. 418-421. ISBN: 978-1-5090-2809-2. Detail

KIDOŇ, M.; DOBAI, R. Evolutionary design of hash functions for IP address hashing using genetic programming. In 2017 IEEE Congress on Evolutionary Computation (CEC). San Sebastian: Institute of Electrical and Electronics Engineers, 2017. p. 1720-1727. ISBN: 978-1-5090-4601-0. Detail

MCDERMOTT, J.; CASTELLI, M.; SEKANINA, L.; HAASDIJK, E.; GARCÍA-SÁNCHEZ, P. 20th European Conference on Genetic Programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2017. p. 0-0. ISBN: 978-3-319-55696-3. Detail

MRÁZEK, V.; HRBÁČEK, R.; VAŠÍČEK, Z.; SEKANINA, L. EvoApprox8b: Library of Approximate Adders and Multipliers for Circuit Design and Benchmarking of Approximation Methods. In Proc. of the 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE). Lausanne: European Design and Automation Association, 2017. p. 258-261. ISBN: 978-3-9815370-9-3. Detail

MRÁZEK, V.; VAŠÍČEK, Z. Parallel Optimization of Transistor Level Circuits using Cartesian Genetic Programming. In GECCO Companion '17 Proceedings of the Companion Publication of the 2017 on Genetic and Evolutionary Computation Conference. Berlin: Association for Computing Machinery, 2017. p. 1849-1856. ISBN: 978-1-4503-4939-0. Detail

SEKANINA, L.; VAŠÍČEK, Z.; MRÁZEK, V. Approximate Circuits in Low-Power Image and Video Processing: The Approximate Median Filter. Radioengineering, 2017, vol. 26, no. 3, p. 623-632. ISSN: 1210-2512. Detail

SHAFIQUE, M.; HAFIZ, R.; JAVED, M.; ABBAS, S.; SEKANINA, L.; VAŠÍČEK, Z.; MRÁZEK, V. Adaptive and Energy-Efficient Architectures for Machine Learning: Challenges, Opportunities, and Research Roadmap. In 2017 IEEE Computer Society Annual Symposium on VLSI. Los Alamitos: IEEE Computer Society Press, 2017. p. 627-632. ISBN: 978-1-5090-6762-6. Detail

VAŠÍČEK, Z. Relaxed equivalence checking: a new challenge in logic synthesis. In Proceedings 2017 IEEE 20th International Symposium on Design and Diagnotics of Electronic Circuit & Systems. Dresden: IEEE Computer Society, 2017. p. 1-6. ISBN: 978-1-5386-0472-4. Detail

VAŠÍČEK, Z.; MRÁZEK, V. Trading between Quality and Non-functional Properties of Median Filter in Embedded Systems. Genetic Programming and Evolvable Machines, 2017, vol. 18, no. 1, p. 45-82. ISSN: 1389-2576. Detail

VAŠÍČEK, Z.; MRÁZEK, V.; SEKANINA, L. Towards Low Power Approximate DCT Architecture for HEVC Standard. In Proc. of the 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE). Lausanne: European Design and Automation Association, 2017. p. 1576-1581. ISBN: 978-3-9815370-9-3. Detail

WIGLASZ, M.; SEKANINA, L. Evolutionary Approximation of Gradient Orientation Module in HOG-based Human Detection System. In 2017 IEEE Global Conference on Signal and Information Processing GlobalSIP 2017. Montreal: IEEE Signal Processing Society, 2017. p. 1300-1304. ISBN: 978-1-5090-5989-8. Detail

2016

BIDLO, M. Evolution of Complex Emergent Behaviour in Multi-State Cellular Automata. In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2016. p. 157-158. ISBN: 978-1-4503-4323-7. Detail

BIDLO, M. Evolution of Generic Square Calculations in Cellular Automata. In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 3: ECTA. Porto: SciTePress - Science and Technology Publications, 2016. p. 94-102. ISBN: 978-989-758-201-1. Detail

BIDLO, M. On Routine Evolution of Complex Cellular Automata. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2016, vol. 20, no. 5, p. 742-754. ISSN: 1089-778X. Detail

DOBAI, R.; KOŘENEK, J.; SEKANINA, L. Adaptive Development of Hash Functions in FPGA-Based Network Routers. In 2016 IEEE Symposium Series on Computational Intelligence. Athens: IEEE Computational Intelligence Society, 2016. p. 1-8. ISBN: 978-1-5090-4240-1. Detail

DVOŘÁČEK, P.; SEKANINA, L. Evolutionary Approximation of Edge Detection Circuits. In 19th European Conference on Genetic programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2016. p. 19-34. ISBN: 978-3-319-30667-4. Detail

GROCHOL, D. Evoluční hardware v síťových aplikacích. Počítačové architektury a diagnostika PAD 2016. Bořetice: Fakulta informačních technologií VUT v Brně, 2016. s. 57-60. ISBN: 978-80-214-5376-0. Detail

GROCHOL, D.; SEKANINA, L. Evolutionary Design of Fast High-quality Hash Functions for Network Applications. In GECCO '16 Proceedings of the 2016 on Genetic and Evolutionary Computation Conference. New York, NY: Association for Computing Machinery, 2016. p. 901-908. ISBN: 978-1-4503-4206-3. Detail

GROCHOL, D.; SEKANINA, L.; KOŘENEK, J.; ŽÁDNÍK, M.; KOŠAŘ, V. Evolutionary Circuit Design for Fast FPGA-Based Classification of Network Application Protocols. APPLIED SOFT COMPUTING, 2016, vol. 38, no. 1, p. 933-941. ISSN: 1568-4946. Detail

HOLÍK, L.; LENGÁL, O.; ROGALEWICZ, A.; SEKANINA, L.; VAŠÍČEK, Z.; VOJNAR, T. Towards Formal Relaxed Equivalence Checking in Approximate Computing Methodology. 2nd Workshop on Approximate Computing (WAPCO 2016). Prague: 2016. p. 1-6. Detail

HRBÁČEK, R.; MRÁZEK, V.; VAŠÍČEK, Z. Automatic Design of Approximate Circuits by Means of Multi-Objective Evolutionary Algorithms. In Proceedings of the 11th International Conference on Design & Technology of Integrated Systems in Nanoscale Era. Istanbul: Istanbul Sehir University, 2016. p. 239-244. ISBN: 978-1-5090-0335-8. Detail

MRÁZEK, V. Evoluční snižování příkonu: Od obvodů na úrovni tranzistorů po neuronové sítě na čipu. Počítačové architektury a diagnostika PAD 2016. Bořetice: Fakulta informačních technologií VUT v Brně, 2016. s. 61-64. ISBN: 978-80-214-5376-0. Detail

MRÁZEK, V.; SARWAR, S.; SEKANINA, L.; VAŠÍČEK, Z.; ROY, K. Design of Power-Efficient Approximate Multipliers for Approximate Artificial Neural Networks. In Proceedings of the IEEE/ACM International Conference on Computer-Aided Design. Austin, TX: Association for Computing Machinery, 2016. p. 811-817. ISBN: 978-1-4503-4466-1. Detail

MRÁZEK, V.; VAŠÍČEK, Z. Automatic Design of Arbitrary-Size Approximate Sorting Networks with Error Guarantee. In Power and Timing Modeling, Optimization and Simulation (PATMOS), 2016 26rd International Workshop on. Bremen: Institute of Electrical and Electronics Engineers, 2016. p. 221-228. ISBN: 978-1-5090-0733-2. Detail

SÁNCHEZ-CLEMENTE, A.; ENTRENA, L.; HRBÁČEK, R.; SEKANINA, L. Error Mitigation using Approximate Logic Circuits: A Comparison of Probabilistic and Evolutionary Approaches. IEEE TRANSACTIONS ON RELIABILITY, 2016, vol. 65, no. 4, p. 1871-1883. ISSN: 0018-9529. Detail

SEKANINA, L. Introduction to Approximate Computing: Embedded Tutorial. In 19th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems. Košice: Institute of Electrical and Electronics Engineers, 2016. p. 90-95. ISBN: 978-1-5090-2467-4. Detail

SEKANINA, L.; KAPUSTA, V. Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming. In GECCO'16 Companion. New York: Association for Computing Machinery, 2016. p. 1411-1418. ISBN: 978-1-4503-4323-7. Detail

SEKANINA, L.; VAŠÍČEK, Z. Genetic Improvement for Approximate Computing. 2nd Workshop on Approximate Computing (WAPCO 2016). Prague: 2016. p. 1-2. Detail

VAŠÍČEK, Z.; MRÁZEK, V.; SEKANINA, L. Evolutionary Functional Approximation of Circuits Implemented into FPGAs. In 2016 IEEE Symposium Series on Computational Intelligence. Athens: Institute of Electrical and Electronics Engineers, 2016. p. 1-8. ISBN: 978-1-5090-4240-1. Detail

VAŠÍČEK, Z.; SEKANINA, L. Evolutionary Design of Complex Approximate Combinational Circuits. Genetic Programming and Evolvable Machines, 2016, vol. 17, no. 2, p. 169-192. ISSN: 1389-2576. Detail

VAŠÍČEK, Z.; SEKANINA, L. Search-based synthesis of approximate circuits implemented into FPGAs. In 26th International Conference on Field Programmable Logic and Applications. Lausanne: Institute of Electrical and Electronics Engineers, 2016. p. 1-4. ISBN: 978-2-8399-1844-2. Detail

VAVERKA, F.; HRBÁČEK, R.; SEKANINA, L. Evolving Component Library for Approximate High Level Synthesis. In 2016 IEEE Symposium Series on Computational Intelligence. Athens: IEEE Computational Intelligence Society, 2016. p. 1-8. ISBN: 978-1-5090-4240-1. Detail

WIGLASZ, M.; DRAHOŠOVÁ, M. Plastic Fitness Predictors Coevolved with Cartesian Programs. In 19th European Conference on Genetic programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2016. p. 164-179. ISBN: 978-3-319-30667-4. Detail

2015

BIDLO, M. Investigation of Replicating Tiles in Cellular Automata Designed by Evolution Using Conditionally Matching Rules. In 2015 IEEE International Conference on Evolvable Systems (ICES). Proceedings of the 2015 IEEE Symposium Series on Computational Intelligence (SSCI). Cape Town: IEEE Computational Intelligence Society, 2015. p. 1506-1513. ISBN: 978-1-4799-7560-0. Detail

BIDLO, M. On Routine Evolution of New Replicating Structures in Cellular Automata. In 7th International Conference on Evolutionary Computationa Theory and Applications. 7th International Joint Conference on Computational Intelligence. Lisbon: SciTePress - Science and Technology Publications, 2015. p. 28-38. ISBN: 978-989-758-157-1. Detail

DOBAI, R.; KOŘENEK, J. Evolution of Non-Cryptographic Hash Function Pairs for FPGA-Based Network Applications. In 2015 IEEE Symposium Series on Computational Intelligence. Cape Town: Institute of Electrical and Electronics Engineers, 2015. p. 1214-1219. ISBN: 978-1-4799-7560-0. Detail

DOBAI, R.; SEKANINA, L. Low-Level Flexible Architecture with Hybrid Reconfiguration for Evolvable Hardware. ACM Transactions on Reconfigurable Technology and Systems, 2015, vol. 8, no. 3, p. 1-24. ISSN: 1936-7406. Detail

DRAHOŠOVÁ, M.; HULVA, J.; SEKANINA, L. Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs. In Genetic Programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2015. p. 113-125. ISBN: 978-3-319-16500-4. Detail

GROCHOL, D.; SEKANINA, L.; ŽÁDNÍK, M.; KOŘENEK, J. A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP. In Applications of Evolutionary Computation, 18th European Conference. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2015. p. 67-78. ISBN: 978-3-319-16548-6. Detail

HRBÁČEK, R. Parallel Multi-Objective Evolutionary Design of Approximate Circuits. In GECCO '15 Proceedings of the 2015 conference on Genetic and evolutionary computation. New York: Association for Computing Machinery, 2015. p. 687-694. ISBN: 978-1-4503-3472-3. Detail

MRÁZEK, V. Evoluční návrh nízkopříkonových obvodů. Počítačové architektury a diagnostika PAD 2015. Zlín: Fakulta aplikované informatiky, Univerzita Tomáše Bati ve Zlíně, 2015. s. 1-6. ISBN: 978-80-7454-522-1. Detail

MRÁZEK, V.; VAŠÍČEK, Z. Automatic Design of Low-Power VLSI Circuits: Accurate and Approximate Multipliers. In Proceedings of 13th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing. Porto: Institute of Electrical and Electronics Engineers, 2015. p. 106-113. ISBN: 978-1-4673-8299-1. Detail

MRÁZEK, V.; VAŠÍČEK, Z. Evolutionary Design of Transistor Level Digital Circuits using Discrete Simulation. In Genetic Programming, 18th European Conference, EuroGP 2015. LCNS 9025. Berlin: Springer International Publishing, 2015. p. 66-77. ISBN: 978-3-319-16500-4. Detail

MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L. Evolutionary Approximation of Software for Embedded Systems: Median Function. In GECCO Companion '15 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ACM. New York: Association for Computing Machinery, 2015. p. 795-801. ISBN: 978-1-4503-3488-4. Detail

PETRLÍK, J.; SEKANINA, L. Towards Robust and Accurate Traffic Prediction Using Parallel Multiobjective Genetic Algorithms and Support Vector Regression. In 2015 IEEE 18th International Conference on Intelligent Transportation Systems. Los Alamitos: IEEE Computer Society, 2015. p. 2231-2236. ISBN: 978-1-4673-6596-3. Detail

SEKANINA, L. Principles and Applications of Polymorphic Circuits. In Evolvable Hardware - From Practice to Application. Berlin: Springer Verlag, 2015. p. 209-224. ISBN: 978-3-662-44615-7. Detail

SEKANINA, L.; VAŠÍČEK, Z. Evolutionary Computing in Approximate Circuit Design and Optimization. 1st Workshop on Approximate Computing (WAPCO 2015). Amsterdam: 2015. p. 1-6. Detail

SEKANINA, L.; VAŠÍČEK, Z. Functional Equivalence Checking for Evolution of Complex Digital Circuits. In Evolvable Hardware - From Practice to Application. Berlin: Springer Verlag, 2015. p. 175-189. ISBN: 978-3-662-44615-7. Detail

VAŠÍČEK, Z. Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates. In Genetic Programming, 18th European Conference, EuroGP 2015. LCNS 9025. Berlin: Springer International Publishing, 2015. p. 139-150. ISBN: 978-3-319-16500-4. Detail

VAŠÍČEK, Z.; SEKANINA, L. Circuit Approximation Using Single- and Multi-Objective Cartesian GP. In Genetic Programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2015. p. 217-229. ISBN: 978-3-319-16500-4. Detail

VAŠÍČEK, Z.; SEKANINA, L. Evolutionary approximation of complex digital circuits. In Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery, 2015. p. 1505-1506. ISBN: 978-1-4503-3488-4. Detail

2014

BIDLO, M. Evolution of Computational Structures in Uniform Cellular Automata. In 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing: IEEE Computational Intelligence Society, 2014. p. 2732-2739. ISBN: 978-1-4799-1488-3. Detail

BIDLO, M.; VAŠÍČEK, Z. On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems. In Genetic Programming, 17th European Conference, EuroGP 2014. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2014. p. 234-245. ISBN: 978-3-662-44302-6. Detail

DOBAI, R. Evolutionary On-line Synthesis of Hardware Accelerators for Software Modules in Reconfigurable Embedded Systems. In 2014 24th International Conference on Field Programmable Logic and Applications (FPL). Munich: Institute of Electrical and Electronics Engineers, 2014. p. 1-6. ISBN: 978-3-00-044645-0. Detail

DOBAI, R.; GLETTE, K.; TORRESEN, J.; SEKANINA, L. Evolutionary Digital Circuit Design with Fast Candidate Solution Establishment in Field Programmable Gate Arrays. In 2014 IEEE International Conference on Evolvable Systems Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2014. p. 85-92. ISBN: 978-1-4799-4480-4. Detail

DRAHOŠOVÁ, M.; KOMJÁTHY, G.; SEKANINA, L. Towards Compositional Coevolution in Evolutionary Circuit Design. In 2014 IEEE International Conference on Evolvable Systems Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2014. p. 157-164. ISBN: 978-1-4799-4479-8. Detail

HRBÁČEK, R. Bent Functions Synthesis on Xeon Phi Coprocessor. In Mathematical and Engineering Methods in Computer Science. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2014. p. 88-99. ISBN: 978-3-319-14895-3. Detail

HRBÁČEK, R.; DVOŘÁK, V. Bent Function Synthesis by Means of Cartesian Genetic Programming. In Parallel Problem Solving from Nature - PPSN XIII. Heidelberg: Springer Verlag, 2014. p. 414-423. ISBN: 978-3-319-10761-5. Detail

HRBÁČEK, R.; SEKANINA, L. Towards Highly Optimized Cartesian Genetic Programming: From Sequential via SIMD and Thread to Massive Parallel Implementation. In GECCO '14 Proceedings of the 2014 conference on Genetic and evolutionary computation. New York: Association for Computing Machinery, 2014. p. 1015-1022. ISBN: 978-1-4503-2662-9. Detail

MINAŘÍK, M.; SEKANINA, L. Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP. In Genetic Programming, 17th European Conference, EuroGP 2014. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2014. p. 112-123. ISBN: 978-3-662-44302-6. Detail

MRÁZEK, V. Akcelerace evolučního návrhu digitálních obvodů na úrovni tranzistorů s využitím platformy Zynq. Proceedings of the 20th Student Conference, EEICT 2014. Volume 2. Brno: Vysoké učení technické v Brně, 2014. s. 229-231. ISBN: 978-80-214-4923-7. Detail

MRÁZEK, V.; VAŠÍČEK, Z. Acceleration of Transistor-Level Evolution using Xilinx Zynq Platform. In 2014 IEEE International Conference on Evolvable Systems Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2014. p. 9-16. ISBN: 978-1-4799-4480-4. Detail

PETRLÍK, J.; FUČÍK, O.; SEKANINA, L. Multiobjective Selection of Input Sensors for SVR Applied to Road Traffic Prediction. In Parallel Problem Solving from Nature - PPSN XIII. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2014. p. 802-811. ISBN: 978-3-319-10761-5. Detail

PETRLÍK, J.; FUČÍK, O.; SEKANINA, L. Multiobjective Selection of Input Sensors for Travel Times Forecasting Using Support Vector Regression. In 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2014. p. 14-21. ISBN: 978-1-4799-4498-9. Detail

SEKANINA, L.; PTÁK, O.; VAŠÍČEK, Z. Cartesian Genetic Programming as Local Optimizer of Logic Networks. In 2014 IEEE Congress on Evolutionary Computation. Beijing: IEEE Computational Intelligence Society, 2014. p. 2901-2908. ISBN: 978-1-4799-1488-3. Detail

SEKANINA, L.; VAŠÍČEK, Z. On Evolutionary Approximation of Logic Circuits. In Computing with New Resources. Berlin: Springer Verlag, 2014. p. 367-378. ISBN: 978-3-319-13349-2. Detail

VAŠÍČEK, Z.; SEKANINA, L. Evolutionary Design of Approximate Multipliers Under Different Error Metrics. In 17th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems. Warsaw: IEEE Computer Society, 2014. p. 135-140. ISBN: 978-1-4799-4558-0. Detail

VAŠÍČEK, Z.; SEKANINA, L. How to Evolve Complex Combinational Circuits From Scratch?. In 2014 IEEE International Conference on Evolvable Systems Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2014. p. 133-140. ISBN: 978-1-4799-4480-4. Detail

2013

BIDLO, M.; VAŠÍČEK, Z. Evolution of Cellular Automata with Conditionally Matching Rules. In 2013 IEEE Congress on Evolutionary Computation (CEC 2013). Cancún: IEEE Computer Society, 2013. p. 1178-1185. ISBN: 978-1-4799-0452-5. Detail

BIDLO, M.; VAŠÍČEK, Z. Functional-Level Development of Image Filters by Means of Cellular Automata. In 2013 IEEE International Conference on Evolvable Systems (ICES). Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI). Singapore: IEEE Computer Society, 2013. p. 29-36. ISBN: 978-1-4673-5847-7. Detail

BRÁZDOVÁ, M.; MARTÍNEK, T.; LEXA, M. In silico search for secondary structures in p53 target genes using R/Bioconductor. ITAT 2013: Information Technologies - Applications and Theory. Donovaly: CreativeSpace Independent Publishing Platform, 2013. p. 42-46. ISBN: 978-1-4909-5208-6. Detail

DOBAI, R.; SEKANINA, L. Image Filter Evolution on the Xilinx Zynq Platform. Proceedings of the 2013 NASA/ESA Conference on Adaptive Hardware and Systems. Torino: IEEE Circuits and Systems Society, 2013. p. 164-171. ISBN: 978-1-4673-6381-5. Detail

DOBAI, R.; SEKANINA, L. Towards Evolvable Systems Based on the Xilinx Zynq Platform. 2013 IEEE International Conference on Evolvable Systems (ICES). Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI). Singapur: IEEE Computational Intelligence Society, 2013. p. 89-95. ISBN: 978-1-4673-5869-9. Detail

DRAHOŠOVÁ, M. Koevoluční algoritmus v kartézském genetickém programování. Počítačové architektury a diagnostika PAD 2013. Plzeň: Západočeská univerzita v Plzni, 2013. s. 123-128. ISBN: 978-80-261-0270-0. Detail

HRBÁČEK, R.; DRAHOŠOVÁ, M. Coevolutionary Cartesian Genetic Programming in FPGA. Advances in Artificial Life, ECAL 2013, Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems. Cambridge: MIT Press, 2013. p. 431-438. ISBN: 978-0-262-31709-2. Detail

KORČEK, P.; SEKANINA, L.; FUČÍK, O. Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times. Journal of Cellular Automata, 2013, vol. 8, no. 6, p. 457-467. ISSN: 1557-5969. Detail

MINAŘÍK, M.; SEKANINA, L. Concurrent Evolution of Hardware and Software for Application-Specific Microprogrammed Systems. 2013 IEEE International Conference on Evolvable Systems (ICES). Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI). Singapur: IEEE Computational Intelligence Society, 2013. p. 43-50. ISBN: 978-1-4673-5869-9. Detail

RŮŽIČKA, R.; ŠIMEK, V. More Complex Polymorphic Circuits: A Way to Implementation of Smart Dependable Systems. ElectroScope - http://www.electroscope.zcu.cz, 2013, vol. 7, no. 5, p. 1-6. ISSN: 1802-4564. Detail

SALVADOR, R.; OTERO, A.; MORA, J.; DE LA TORRE, E.; RIESGO, T.; SEKANINA, L. Self-Reconfigurable Evolvable Hardware System for Adaptive Image Processing. IEEE TRANSACTIONS ON COMPUTERS, 2013, vol. 62, no. 8, p. 1481-1493. ISSN: 0018-9340. Detail

SEKANINA, L. Ubiquity symposium: Evolutionary computation and the processes of life: evolutionary computation in physical world. Ubiquity, 2013, vol. 2013, no. 2, p. 1-7. ISSN: 1530-2180. Detail

SEKANINA, L.; RŮŽIČKA, R.; VAŠÍČEK, Z.; ŠIMEK, V.; HANÁČEK, P. Implementing a Unique Chip ID on a Reconfigurable Polymorphic Circuit. Information Technology and Control, 2013, vol. 42, no. 1, p. 7-14. ISSN: 1392-124X. Detail

ŠIMEK, V.; RŮŽIČKA, R. More Complex Polymorphic Circuits and Their Physical Implementation. Proceedings of the 20th Electronic Devices and Systems IMAPS CS International Conference. Brno: Brno University of Technology, 2013. p. 189-194. ISBN: 978-80-214-4754-7. Detail

VAŠÍČEK, Z.; BIDLO, M.; SEKANINA, L. Evolution of efficient real-time non-linear image filters for FPGAs. SOFT COMPUTING, 2013, vol. 17, no. 11, p. 2163-2180. ISSN: 1432-7643. Detail

2012

BIDLO, M.; VAŠÍČEK, Z. Cellular Automaton as a Sorting Network Generator Using Instruction-Based Development. Lecture Notes in Computer Science, 2012, vol. 2012, no. 7495, p. 214-223. ISSN: 0302-9743. Detail

BIDLO, M.; VAŠÍČEK, Z. Evolution of Cellular Automata Using Instruction-Based Approach. In 2012 IEEE World Congress on Computational Intelligence. CA: Institute of Electrical and Electronics Engineers, 2012. p. 1060-1067. ISBN: 978-1-4673-1508-1. Detail

DRAHOŠOVÁ, M.; SEKANINA, L. Coevolution in Cartesian Genetic Programming. Proc. of the 15th European Conference on Genetic Programming. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2012. p. 182-193. ISBN: 978-3-642-29138-8. Detail

DRAHOŠOVÁ, M.; SEKANINA, L. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. Lecture Notes in Computer Science, 2012, vol. 2012, no. 7491, p. 163-172. ISSN: 0302-9743. Detail

KORČEK, P.; SEKANINA, L.; FUČÍK, O. Calibrating Traffic Simulation Model using Vehicle Travel Times. Lecture Notes in Computer Science, 2012, vol. 2012, no. 7495, p. 807-816. ISSN: 0302-9743. Detail

KORČEK, P.; SEKANINA, L.; FUČÍK, O. Evolutionary approach to calibration of cellular automaton based traffic simulation model. In Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems. Anchorage: IEEE Intelligent Transportation Systems Society, 2012. p. 122-129. ISBN: 978-1-4673-3062-6. Detail

PETRLÍK, J.; KORČEK, P.; FUČÍK, O.; BESZÉDEŠ, M.; SEKANINA, L. Estimation of traffic density map using evolutionary algorithm. In Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems. Anchorage: IEEE Intelligent Transportation Systems Society, 2012. p. 632-637. ISBN: 978-1-4673-3062-6. Detail

PETRLÍK, J.; SEKANINA, L. Multiobjective Evolution of Multiple-Constant Multipliers. Proceedings of the 18th International Conference on Soft Computing (MENDEL2012). Brno: Faculty of Mechanical Engineering BUT, 2012. p. 64-69. ISBN: 978-80-214-4540-6. Detail

RŮŽIČKA, R.; ŠIMEK, V. NAND/NOR Gate Polymorphism in Low Temperature Environment. Proceedings of the 2012 IEEE 15th International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Tallinn: Institute of Electrical and Electronics Engineers, 2012. p. 34-37. ISBN: 978-1-4673-1185-4. Detail

RŮŽIČKA, R.; ŠIMEK, V. Polymeric Polymorphic Electronics: Towards Multifunctional Logic Elements Based on Organic Semiconductor Materials. Proceedings of CSE 2012 International Scientific Conference on Computer Science and Engineerig. Košice: Faculty of Electrical Engineering and Informatics, University of Technology Košice, 2012. p. 154-161. ISBN: 978-80-8143-049-7. Detail

SALVADOR, R.; OTERO, A.; MORA, J.; DE LA TORRE, E.; RIESGO, T.; SEKANINA, L. Implementation Techniques for Evolvable HW Systems: Virtual vs. Dynamic Reconfiguration. Proc. of the 22nd International Conference on Field Programmable Logic and Applications (FPL). Oslo: IEEE Computer Society, 2012. p. 547-550. ISBN: 978-1-4673-2257-7. Detail

SALVADOR, R.; VIDAL, A.; MORENO, F.; RIESGO, T.; SEKANINA, L. Accelerating FPGA-based evolution of wavelet transform filters by optimized task scheduling. Microprocessors and Microsystems, 2012, vol. 36, no. 5, p. 427-438. ISSN: 0141-9331. Detail

SEKANINA, L. Evolvable hardware. In Handbook of Natural Computing. Berlin: Springer Verlag, 2012. p. 1657-1705. ISBN: 978-3-540-92909-3. Detail

SEKANINA, L.; SALAJKA, V. Towards New Applications of Multi-Function Logic: Image Multi-Filtering. Proc. of the 2012 Design, Automation and Test in Europe. Dresden: European Design and Automation Association, 2012. p. 824-827. ISBN: 978-1-4577-2145-8. Detail

SEKANINA, L.; SALAJKA, V.; VAŠÍČEK, Z. Two-Step Evolution of Polymorphic Circuits for Image Multi-Filtering. In 2012 IEEE World Congress on Computational Intelligence. CA: Institute of Electrical and Electronics Engineers, 2012. p. 432-439. ISBN: 978-1-4673-1508-1. Detail

SEKANINA, L.; VAŠÍČEK, Z. A SAT-based Fitness Function for Evolutionary Optimization of Polymorphic Circuits. Proc. of the 2012 Design, Automation and Test in Europe. Dresden: European Design and Automation Association, 2012. p. 715-720. ISBN: 978-1-4577-2145-8. Detail

SMOLKA, T.; ŠVENDA, P.; SEKANINA, L.; MATYÁŠ, V. Evolutionary Design of Message Efficient Secrecy Amplification Protocols. Proc. of the 15th European Conference on Genetic Programming. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2012. p. 194-205. ISBN: 978-3-642-29138-8. Detail

VAŠÍČEK, Z.; SEKANINA, L. On Area Minimization of Complex Combinational Circuits Using Cartesian Genetic Programming. In 2012 IEEE World Congress on Computational Intelligence. CA: Institute of Electrical and Electronics Engineers, 2012. p. 2379-2386. ISBN: 978-1-4673-1508-1. Detail

VAŠÍČEK, Z.; SLANÝ, K. Efficient Phenotype Evaluation in Cartesian Genetic Programming. In Proc. of the 15th European Conference on Genetic Programming. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2012. p. 266-278. ISBN: 978-3-642-29138-8. Detail

ŽALOUDEK, L.; SEKANINA, L. Cellular automata-based systems with fault-tolerance. Natural Computing, 2012, vol. 11, no. 4, p. 673-685. ISSN: 1567-7818. Detail

2011

GAJDA, Z.; SEKANINA, L. Recent Advances in Evolutionary Synthesis and Optimization of Ordinary and Polymorphic Circuits. Brno: Faculty of Information Technology BUT, 2011. 111 p. ISBN: 978-80-214-4417-1. Detail

GAJDA, Z.; SEKANINA, L. On Evolutionary Synthesis of Compact Polymorphic Combinational Circuits. JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 2011, vol. 17, no. 6, p. 607-631. ISSN: 1542-3980. Detail

KORČEK, P. Simulácie dopravy pre dlhodobú predpoveď stavu dopravy. Počítačové architektury a diagnostika 2011. Bratislava: Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava, 2011. s. 115-120. ISBN: 978-80-227-3552-0. Detail

KORČEK, P.; SEKANINA, L.; FUČÍK, O. A Scalable Cellular Automata Based Microscopic Traffic Simulation. Proceedings of the IEEE Intelligent Vehicles Symposium 2011 (IV11). Baden-Baden: IEEE Intelligent Transportation Systems Society, 2011. p. 13-18. ISBN: 978-1-4577-0889-3. Detail

KORČEK, P.; SEKANINA, L.; FUČÍK, O. Cellular automata based traffic simulation accelerated on GPU. Proceedings of the 17th International Conference on Soft Computing (MENDEL2011). Brno: Institute of Automation and Computer Science FME BUT, 2011. p. 395-402. ISBN: 978-80-214-4302-0. Detail

KORČEK, P.; SEKANINA, L.; FUČÍK, O. Microscopic traffic simulation using CUDA. Advanced Computer Architecture and Compilation for High-Performace and Embedded Systems (ACACES 2011) Poster Abstracts. Fiuggi: Academia Press, 2011. p. 207-210. ISBN: 978-90-382-1798-7. Detail

MINAŘÍK, M.; SEKANINA, L. Evolution of Iterative Formulas Using Cartesian Genetic Programming. Lecture Notes in Computer Science, 2011, vol. 2011, no. 6881, p. 11-20. ISSN: 0302-9743. Detail

OTERO, A.; SALVADOR, R.; MORA, J.; DE LA TORRE, E.; RIESGO, T.; SEKANINA, L. A Fast Reconfigurable 2D HW Core Architecture on FPGAs for Evolvable Self-Adaptive Systems. Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems. Los Alamitos: IEEE Computer Society, 2011. p. 336-343. ISBN: 978-1-4577-0599-1. Detail

RŮŽIČKA, R.; ŠIMEK, V. Chip Temperature Selfregulation for Digital Circuits Using Polymorphic Electronics Principles. Proceedings of 14th Euromicro Conference on Digital System Design. Los Alamitos: IEEE Computer Society Press, 2011. p. 205-212. ISBN: 978-0-7695-4494-6. Detail

RŮŽIČKA, R.; ŠIMEK, V. On Properties of Basic Building Blocks for Printable Polymer and Nanometal Logic. Proc. of IMAPS CS International Conference on Electronic Devices and Systems. Brno: Brno University of Technology, 2011. p. 258-263. ISBN: 978-80-214-4303-7. Detail

RŮŽIČKA, R.; ŠIMEK, V.; SEKANINA, L. Behavior of CMOS Polymorphic Circuits in High Temperature Environment. Proceedings of the 2011 IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems. Cottbus: IEEE Computer Society, 2011. p. 447-452. ISBN: 978-1-4244-9753-9. Detail

SALVADOR, R.; MORENO, F.; RIESGO, T.; SEKANINA, L. Evolutionary Approach to Improve Wavelet Transforms for Image Compression in Embedded Systems. EURASIP Journal on Advances in Signal Processing, 2011, vol. 2011, no. 2011, p. 1-20. ISSN: 1687-6172. Detail

SALVADOR, R.; OTERO, A.; MORA, J.; DE LA TORRE, E.; RIESGO, T.; SEKANINA, L. Evolvable 2D computing matrix model for intrinsic evolution in commercial FPGAs with native reconfiguration support. Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems. Los Alamitos: IEEE Computer Society, 2011. p. 184-191. ISBN: 978-1-4577-0599-1. Detail

SALVADOR, R.; OTERO, A.; MORA, J.; DE LA TORRE, E.; SEKANINA, L.; RIESGO, T. Fault Tolerance Analysis and Self-Healing Strategy of Autonomous, Evolvable Hardware Systems. Proc. of the 2011 International Conference on ReConFigurable Computing and FPGAs. Los Alamitos: IEEE Computer Society, 2011. p. 164-169. ISBN: 978-0-7695-4551-6. Detail

SALVADOR, R.; VIDAL, A.; MORENO, F.; RIESGO, T.; SEKANINA, L. Bio-inspired FPGA architecture for self-calibration of an image compression core based on wavelet transforms in embedded systems. VLSI Circuits and Systems V. Proc. of SPIE Vol. 8067. Bellingham: SPIE - the international society for optics and photonics, 2011. p. 1-13. ISBN: 978-0-8194-8656-1. Detail

SEKANINA, L. Evolution of digital circuits. Proceedings of the 2011 GECCO conference companion on Genetic and evolutionary computation. New York: Association for Computing Machinery, 2011. p. 1343-1359. ISBN: 978-1-4503-0690-4. Detail

SEKANINA, L. Evolutionary hardware design (Invited Paper). VLSI Circuits and Systems V. Proc. of SPIE Vol. 8067. Bellingham: SPIE - the international society for optics and photonics, 2011. p. 1-11. ISBN: 978-0-8194-8656-1. Detail

SEKANINA, L.; HARDING, S.; BANZHAF, W.; KOWALIW, T. Image Processing and CGP. In Cartesian Genetic Programming. Natural Computing Series. Berlin: Springer Verlag, 2011. p. 181-215. ISBN: 978-3-642-17309-7. Detail

SEKANINA, L.; KOMENDA, T. Global Control in Polymorphic Cellular Automata. Journal of Cellular Automata, 2011, vol. 6, no. 4, p. 301-321. ISSN: 1557-5969. Detail

SEKANINA, L.; VAŠÍČEK, Z. CGP Acceleration Using Field-Programmable Gate Arrays. In Cartesian Genetic Programming. Natural Computing Series. Berlin: Springer Verlag, 2011. p. 217-230. ISBN: 978-3-642-17309-7. Detail

SEKANINA, L.; WALKER, J.; KAUFMANN, P.; PLATZNER, M. Evolution of Electronic Circuits. In Cartesian Genetic Programming. Natural Computing Series. Berlin: Springer Verlag, 2011. p. 125-179. ISBN: 978-3-642-17309-7. Detail

VAŠÍČEK, Z.; BIDLO, M. Evolutionary Design of Robust Noise-Specific Image Filters. In 2011 IEEE Congress on Evolutionary Computation. New Orleans: IEEE Computer Society, 2011. p. 269-276. ISBN: 978-1-4244-7834-7. Detail

VAŠÍČEK, Z.; BIDLO, M.; SEKANINA, L.; GLETTE, K. Evolutionary Design of Efficient and Robust Switching Image Filters. In Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems. Los Alamitos: IEEE Computer Society, 2011. p. 192-199. ISBN: 978-1-4577-0599-1. Detail

VAŠÍČEK, Z.; SEKANINA, L. A Global Postsynthesis Optimization Method for Combinational Circuits. Proc. of the Design, Automation and Test in Europe DATE 2011. Grenoble: European Design and Automation Association, 2011. p. 1525-1528. ISBN: 978-3-9810801-7-9. Detail

VAŠÍČEK, Z.; SEKANINA, L. Formal verification of candidate solutions for post-synthesis evolutionary optimization in evolvable hardware. Genetic Programming and Evolvable Machines, 2011, vol. 12, no. 3, p. 305-327. ISSN: 1389-2576. Detail

2010

BIDLO, M. Evolutionary Design of Generic Structures Using Instruction-Based Development. Brno: Faculty of Information Technology BUT, 2010. 124 p. ISBN: 978-80-214-4210-8. Detail

BIDLO, M.; SEKANINA, L. On Impact of Environment on the Complexity Generated by Evolutionary Development. In MENDEL 2010 - 16th International Conference on Soft Computing. Brno: Faculty of Mechanical Engineering BUT, 2010. p. 501-508. ISBN: 978-80-214-4120-0. Detail

BIDLO, M.; VAŠÍČEK, Z.; SLANÝ, K. Sorting Network Development Using Cellular Automata. In Evolvable Systems: From Biology to Hardware. 9th International Conference, ICES 2010, York, UK, September 6-8, 2010, Proceedings, LNCS 6274. London: Springer London, 2010. p. 85-96. ISBN: 978-3-642-15322-8. Detail

FIŠER, P.; SCHMIDT, J.; VAŠÍČEK, Z.; SEKANINA, L. On Logic Synthesis of Conventionally Hard to Synthesize Circuits Using Genetic Programming. Proc. of the 13th Int. IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems. Vienna: IEEE Computer Society, 2010. p. 346-351. ISBN: 978-1-4244-6610-8. Detail

GAJDA, Z.; SEKANINA, L. An Efficient Selection Strategy for Digital Circuit Evolution. Evolvable Systems: From Biology to Hardware. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2010. p. 13-24. ISBN: 978-3-642-15322-8. Detail

GAJDA, Z.; SEKANINA, L. When Does Cartesian Genetic Programming Minimize the Phenotype Size Implicitly?. Proceeding of Genetic and Evolutionary Computation Conference, GECCO 2010. New York: Association for Computing Machinery, 2010. p. 983-984. ISBN: 978-1-4503-0072-8. Detail

RŮŽIČKA, R. Gracefully Degrading Circuit Controllers Based on Polytronics. Proc. of 13th Euromicro Conference on Digital System Design. Los Alamitos: IEEE Computer Society, 2010. p. 809-812. ISBN: 978-0-7695-4171-6. Detail

SALVADOR, R.; MORENO, F.; RIESGO, T.; SEKANINA, L. Evolutionary design and optimization of Wavelet Transforms for image compression in embedded systems. Proc. of the 2010 NASA/ESA Conference on Adaptive Hardware and Systems. Los Alamitos: IEEE Computer Society, 2010. p. 177-184. ISBN: 978-1-4244-5888-2. Detail

SALVADOR, R.; MORENO, F.; RIESGO, T.; SEKANINA, L. High level validation of an optimization algorithm for the implementation of adaptive Wavelet Transforms in FPGAs. Proc. of 13th Euromicro Conference on Digital System Design. Los Alamitos: IEEE Computer Society, 2010. p. 96-103. ISBN: 978-0-7695-4171-6. Detail

SALVADOR, R.; MORENO, F.; RIESGO, T.; SEKANINA, L. Implementation of bio-inspired adaptive wavelet transforms in FPGAs. Modelling, validation and profiling of the algorithm. Proceedings of the XXV Conference on Design of Circuits and Integrated Systems. Lanzarote: The Universidad de Las Palmas de Gran Canaria, 2010. p. 210-215. ISBN: 978-84-693-7393-4. Detail

SEKANINA, L. Evoluční návrh elektronických obvodů. Automa, 2010, roč. 2010, č. 1, s. 48-51. ISSN: 1210-9592. Detail

SEKANINA, L. Evoluční návrh hardware. In Umelá inteligencia a kognitívna veda II. Edícia výskumných textov FIIT STU. Bratislava: Vydavateľstvo STU, 2010. s. 437-465. ISBN: 978-80-227-3284-0. Detail

ŠIMÁČEK, J.; SEKANINA, L.; STAREČEK, L. Evolutionary Design of Reconfiguration Strategies to Reduce the Test Application Time. Evolvable Systems: From Biology to Hardware. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2010. p. 214-225. ISBN: 978-3-642-15322-8. Detail

ŠIMEK, V.; RŮŽIČKA, R.; SEKANINA, L. On Analysis of Fabricated Polymorphic Circuits. Proc. of the 13th Int. IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems. Vienna: IEEE Computer Society, 2010. p. 281-284. ISBN: 978-1-4244-6610-8. Detail

VAŠÍČEK, Z.; SEKANINA, L. Hardware Accelerator of Cartesian Genetic Programming with Multiple Fitness Units. Computing and Informatics, 2010, vol. 29, no. 6, p. 1359-1371. ISSN: 1335-9150. Detail

VAŠÍČEK, Z.; SEKANINA, L.; BIDLO, M. A Method for Design of Impulse Bursts Noise Filters Optimized for FPGA Implementations. DATE 2010: Design, Automation and Test in Europe. Dresden: European Design and Automation Association, 2010. p. 1731-1736. ISBN: 978-3-9810801-6-2. Detail

ŽALOUDEK, L.; SEKANINA, L.; ŠIMEK, V. Accelerating Cellular Automata Evolution on Graphics Processing Units. International Journal on Advances in Software, 2010, vol. 3, no. 1, p. 294-303. ISSN: 1942-2628. Detail

2009

BIDLO, M.; VAŠÍČEK, Z. Investigating Gate-Level Evolutionary Development of Combinational Multipliers Using Enhanced Cellular Automata-Based Model. Proc. of 2009 IEEE Congress on Evolutionary Computation. NA: IEEE Computational Intelligence Society, 2009. p. 2241-2248. ISBN: 978-1-4244-2958-5. Detail

GAJDA, Z. Návrh a optimalizace polymorfních obvodů. Počítačová architektura a Diagnostika 2009. Zlín: Univerzita Tomáše Bati ve Zlíně, 2009. s. 63-67. ISBN: 978-80-7318-847-4. Detail

GAJDA, Z.; SEKANINA, L. Gate-Level Optimization of Polymorphic Circuits Using Cartesian Genetic Programming. Proc. of 2009 IEEE Congress on Evolutionary Computation. NA: IEEE Computational Intelligence Society, 2009. p. 1599-1604. ISBN: 978-1-4244-2958-5. Detail

NEGOITA, M.; SEKANINA, L.; STOICA, A. Adaptive and evolvable hardware and systems: the state of the art and the prospectus for future development. Journal of Automation, Mobile Robotics and Intelligent Systems, 2009, vol. 3, no. 2, p. 70-75. ISSN: 1897-8649. Detail

SEKANINA, L. Evolvable Hardware: From Applications to Implications for the Theory of Computation. Proc. of the 8th Int. Conference on Unconventional Computation. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2009. p. 24-36. ISBN: 978-3-642-03744-3. Detail

SEKANINA, L.; RŮŽIČKA, R.; GAJDA, Z. Polymorphic FIR Filters with Backup Mode Enabling Power Savings. Proc. of the 2009 NASA/ESA Conference on Adaptive Hardware and Systems. Los Alamitos: IEEE Computer Society, 2009. p. 43-50. ISBN: 978-0-7695-3714-6. Detail

SEKANINA, L.; RŮŽIČKA, R.; VAŠÍČEK, Z.; PROKOP, R.; FUJCIK, L. REPOMO32 - New Reconfigurable Polymorphic Integrated Circuit for Adaptive Hardware. Proc. of the 2009 IEEE Symposium Series on Computational Intelligence - Workshop on Evolvable and Adaptive Hardware. Nashville: IEEE Computational Intelligence Society, 2009. p. 39-46. ISBN: 978-1-4244-2755-0. Detail

SEKANINA, L.; VAŠÍČEK, Z.; RŮŽIČKA, R.; BIDLO, M.; JAROŠ, J.; ŠVENDA, P. Evoluční hardware: Od automatického generování patentovatelných invencí k sebemodifikujícím se strojům. Edice Gerstner. Edice Gerstner. Praha: Nakladatelství Academia, 2009. 328 s. ISBN: 978-80-200-1729-1. Detail

SLANÝ, K. Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution. Genetic Programming, 12th European Conference, EuroGP 2009. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Tübingen: Springer Verlag, 2009. p. 351-361. ISBN: 978-3-642-01180-1. ISSN: 0302-9743. Detail

SLANÝ, K. Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour. Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems. Klagenfurt: IEEE Computer Society, 2009. p. 141-145. ISBN: 978-0-7695-3827-3. Detail

ŠVENDA, P.; SEKANINA, L.; MATYÁŠ, V. Evolutionary Design of Secrecy Amplification Protocols for Wireless Sensor Networks. Proc. of the ACM Conference on Wireless Network Security. New York: Association for Computing Machinery, 2009. p. 225-236. ISBN: 978-1-60558-460-7. Detail

VAŠÍČEK, Z.; BIDLO, M.; SEKANINA, L.; TORRESEN, J.; GLETTE, K.; FURUHOLMEN, M. Evolution of Impulse Bursts Noise Filters. Proc. of the 2009 NASA/ESA Conference on Adaptive Hardware and Systems. Los Alamitos: IEEE Computer Society, 2009. p. 27-34. ISBN: 978-0-7695-3714-6. Detail

VAŠÍČEK, Z.; SEKANINA, L. Efficient Hardware Accelerator for Symbolic Regression Problems. 5th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science. Znojmo: Masaryk University, 2009. p. 192-199. ISBN: 978-80-87342-04-6. Detail

ŽALOUDEK, L.; SEKANINA, L.; ŠIMEK, V. GPU Accelerators for Evolvable Cellular Automata. Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns. Athens: Institute of Electrical and Electronics Engineers, 2009. p. 533-537. ISBN: 978-0-7695-3862-4. Detail

2008

BIDLO, M.; ŠKARVADA, J. Instruction-based development: From evolution to generic structures of digital circuits. International Journal of Knowledge-Based and Intelligent Engineering Systems, 2008, vol. 12, no. 3, p. 221-236. ISSN: 1327-2314. Detail

BIDLO, M.; VAŠÍČEK, Z. Cellular Automata-Based Development of Combinational and Polymorphic Circuits: A Comparative Study. Evolvable Systems: From Biology to Hardware. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2008. p. 106-117. ISBN: 978-3-540-85856-0. Detail

BIDLO, M.; VAŠÍČEK, Z. Gate-Level Evolutionary Development Using Cellular Automata. 2008 NASA/ESA Conference on Adaptive Hardware and Systems. Los Alamitos: IEEE Computer Society Press, 2008. p. 11-18. ISBN: 978-0-7695-3166-3. Detail

GAJDA, Z. Návrh polymorfních obvodů. Počítačové architektury a diagnostika 2008. Liberec: Technická univerzita v Liberci, 2008. s. 17-23. ISBN: 978-80-7372-378-1. Detail

HORNBY, G.; SEKANINA, L.; HADDOW, P. Proceedings of Evolvable Systems: From Biology to Hardware. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2008. p. 0-0. ISBN: 978-3-540-85856-0. Detail

NEGOITA, M.; SEKANINA, L.; STOICA, A. Adaptive and Evolvable Hardware and Systems: The State of the Art and the Prospectus for Future Development. Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2008. p. 310-318. ISBN: 978-3-540-85566-8. Detail

PEČENKA, T.; SEKANINA, L.; KOTÁSEK, Z. Evolution of Synthetic RTL Benchmark Circuits with Predefined Testability. ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2008, vol. 13, no. 3, p. 1-21. ISSN: 1084-4309. Detail

RŮŽIČKA, R. On Bifunctional Polymorphic Gates Controlled by a Special Signal. WSEAS Transactions on Circuits, 2008, vol. 7, no. 3, p. 96-101. ISSN: 1109-2734. Detail

RŮŽIČKA, R.; SEKANINA, L.; PROKOP, R. Physical Demonstration of Polymorphic Self-checking Circuits. Proc. of the 14th IEEE Int. On-Line Testing Symposium. Los Alamitos: IEEE Computer Society, 2008. p. 31-36. ISBN: 978-0-7695-3264-6. Detail

SEKANINA, L.; MIKUŠEK, P. Analysis of Reconfigurable Logic Blocks for Evolvable Digital Architectures. Applications of Evolutionary Computing. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2008. p. 144-153. ISBN: 978-3-540-78760-0. Detail

SEKANINA, L.; STAREČEK, L.; KOTÁSEK, Z.; GAJDA, Z. Polymorphic Gates in Design and Test of Digital Circuits. International Journal of Unconventional Computing, 2008, vol. 4, no. 2, p. 125-142. ISSN: 1548-7199. Detail

SLANÝ, K. Branch Predictor On-line Evolutionary System. 2008 Genetic and Evolutionary Computation Conference GECCO. New York: Association for Computing Machinery, 2008. p. 1643-1648. ISBN: 978-1-60558-131-6. Detail

SLANÝ, K. Evoluční adaptace prediktorů v reálném čase. Počítačové architektury a diagnostika 2008. Liberec: Technická univerzita v Liberci, 2008. s. 89-95. ISBN: 978-80-7372-378-1. Detail

STAREČEK, L.; SEKANINA, L.; KOTÁSEK, Z. Reduction of Test Vectors Volume by Means of Gate-Level Reconfiguration. Proc. of 2008 IEEE Design and Diagnostics of Electronic Circuits and Systems Workshop. Bratislava: IEEE Computer Society, 2008. p. 255-258. ISBN: 978-1-4244-2276-0. Detail

VAŠÍČEK, Z. Adaptivní hardware na bázi vyvíjejících se obvodů. Počítačové architektury a diagnostika 2008. Česko-slovenský seminář pro studenty doktorandského studia. Liberec: Technická univerzita v Liberci, 2008. s. 119-124. ISBN: 978-80-7372-378-1. Detail

VAŠÍČEK, Z. Towards Automatic Design of Competitive Image Filters in FPGAs. Proceedings of Junior Scientist Conference 2008. Vienna: Technical University Wien, 2008. p. 55-56. ISBN: 978-3-200-01612-5. Detail

VAŠÍČEK, Z.; ČAPKA, L.; SEKANINA, L. Analysis of Reconfiguration Options for a Reconfigurable Polymorphic Circuit. Proc. of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems. Los Alamitos: IEEE Computer Society, 2008. p. 3-10. ISBN: 978-0-7695-3166-3. Detail

VAŠÍČEK, Z.; SEKANINA, L. Hardware Accelerators for Cartesian Genetic Programming. Eleventh European Conference on Genetic Programming. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2008. p. 230-241. ISBN: 978-3-540-78670-2. Detail

VAŠÍČEK, Z.; SEKANINA, L. Novel Hardware Implementation of Adaptive Median Filters. In Proc. of 2008 IEEE Design and Diagnostics of Electronic Circuits and Systems Workshop. Bratislava: IEEE Computer Society, 2008. p. 110-115. ISBN: 978-1-4244-2276-0. Detail

VAŠÍČEK, Z.; ŽÁDNÍK, M.; SEKANINA, L.; TOBOLA, J. On Evolutionary Synthesis of Linear Transforms. Evolvable Systems: From Biology > to > Hardware. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2008. p. 141-152. ISBN: 978-3-540-85856-0. Detail

ŽALOUDEK, L. Sebereplikace ve výpočetních systémech. Počítačové architektury a diagnostika 2008. Liberec: Technická univerzita v Liberci, 2008. s. 131-136. ISBN: 978-80-7372-378-1. Detail

ŽALOUDEK, L.; SEKANINA, L. Transistor-level Evolution of Digital Circuits Using a Special Circuit Simulator. Evolvable Systems: From Biology to Hardware. Lecture Notes in Computer Science. Berlin: Springer Verlag, 2008. p. 320-331. ISBN: 978-3-540-85856-0. Detail

2004

FRIEDL, Š.; SEKANINA, L. The First Circuits Evolved in a Physical Virtual Reconfigurable Device. Proc. of the 7th IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems. Bratislava: Slovak Academy of Science, 2004. p. 35-42. ISBN: 80-969117-9-1. Detail

SEKANINA, L. Evolutionary Design Space Exploration for Median Circuits. Lecture Notes in Computer Science, 2004, vol. 2004, no. 3005, p. 240-249. ISSN: 0302-9743. Detail

SEKANINA, L. Evolving Constructors for Infinitely Growing Sorting Networks and Medians. Lecture Notes in Computer Science, 2004, vol. 2004, no. 2932, p. 314-323. ISSN: 0302-9743. Detail

2003

SEKANINA, L. Evolvable Components - From Theory to Hardware Implementations. Natural Computing Series. Natural Computing Series. Berlin: Springer Verlag, 2003. 194 p. ISBN: 3-540-40377-9. Detail

SEKANINA, L. Towards Evolvable IP Cores for FPGAs. Proc. of The 2003 NASA/DoD Conference on Evolvable Hardware. Los Alamitos: IEEE Computer Society Press, 2003. p. 145-154. ISBN: 0-7695-1977-6. Detail

SEKANINA, L. From Implementations to a General Concept of Evolvable Machines. Lecture Notes in Computer Science, 2003, vol. 2003, no. 2610, p. 424-433. ISSN: 0302-9743. Detail

SEKANINA, L. Virtual Reconfigurable Circuits for Real-World Applications of Evolvable Hardware. Lecture Notes in Computer Science, 2003, vol. 2003, no. 2606, p. 186-197. ISSN: 0302-9743. Detail

SEKANINA, L.; RŮŽIČKA, R. Easily Testable Image Operators: The Class of Circuits Where Evolution Beats Engineers. The 2003 NASA/DoD Conference on Evolvable Hardware. Los Alamitos: IEEE Computer Society Press, 2003. p. 135-144. ISBN: 0-7695-1977-6. Detail

2002

SEKANINA, L. Evolvable Computational Machines: Formal Approach. Intelligent Technologies - Theory and Applications, E-ISCI 2002. Frontiers in Artificial Intelligence and Applications. Amsterdam: IOS Press, 2002. p. 166-172. ISBN: 1-58603-256-9. Detail

SEKANINA, L. Image Filter Design with Evolvable Hardware. Lecture Notes in Computer Science, 2002, vol. 2002, no. 2279, p. 255-266. ISSN: 0302-9743. Detail

SEKANINA, L.; DRÁBEK, V. A Survey of Bioinspired Methods for Design of Fault Tolerant Reconfigurable Architectures. Proc. of the 8th Biennial Baltic Electronics Conference. Tallinn: Tallinn University of Technology, 2002. p. 355-358. ISBN: 9985-59-292-1. Detail

SEKANINA, L.; DRÁBEK, V. Automatic Design of Image Operators Using Evolvable Hardware. Proc. of 5th IEEE Design and Diagnostics of Electronic Circuits and Systems Workshop. Brno: Brno University of Technology, 2002. p. 132-139. ISBN: 80-214-2094-4. Detail

SLLAME, A.; SEKANINA, L. An Evolutionary-Based Algorithm to the Module Selection Problem with Resource Sharing in High-Level Synthesis. Advances in Nature-Inspired Computation: The PPSN VII Workshops. Reading: PEDAL, Department of Computer Science, University of Reading, 2002. p. 45-46. ISBN: 0-9543481-0-9. Detail

2000

SEKANINA, L.; DRÁBEK, V. Relation Between Fault Tolerance and Reconfiguration in Cellular Systems. 6th IEEE Int. On-Line Testing Workshop. Palma de Mallorca, Spain: IEEE Computer Society Press, 2000. p. 25-30. ISBN: 0-7695-0646-1. Detail