Department of Computer Systems

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
  • GOLDSCHMIDT, P.; KUČERA, J. Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning. NOMS 2024-2024 IEEE Network Operations and Management Symposium. Seoul: Institute of Electrical and Electronics Engineers, 2024. p. 1-10. ISBN: 979-8-3503-2793-9. 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
  • JAROŠ, J.; DUCHOŇ, R. Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic. HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 370-372. ISBN: 979-8-4007-0413-0. Detail
  • JAROŠ, J.; JAROŠ, M.; BUCHTA, M. Estimation of Distributed Ultrasound Simulation Execution Time Using Machine Learning. In 2024 IEEE Congress on Evolutionary Computation (CEC). Yokohama: Institute of Electrical and Electronics Engineers, 2024. p. 1-8. ISBN: 979-8-3503-0836-5. Detail
  • JAROŠ, J.; TREEBY, B.; JAROŠ, M. k-Plan: From the Hospital to the Cluster and Back. Sydney: 2024. p. 0-0. Detail
  • JAROŠ, M.; JAROŠ, J. k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 358-360. ISBN: 979-8-4007-0413-0. Detail
  • JAROŠ, M.; OLŠÁK, O.; JAROŠ, J. System for managing HPC-services and workflow executions. Ostrava: 2024. p. 0-0. Detail
  • JAWED, S.; FAYE, I.; MALIK, A. Deep learning-based assessment model for Real-time identification of visual learners using Raw EEG. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, vol. 32, no. 1, p. 378-390. ISSN: 1558-0210. 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
  • LOJDA, J.; STRNADEL, J.; ŠIMEK, V.; SMRŽ, P.; HAYES, M.; POPP, R. The LoLiPoP-IoT Project: Long Life Power Platforms for Internet of Things. Paris: Institute of Electrical and Electronics Engineers, 2024. p. 0-0. Detail
  • MRÁZEK, V.; KOKKINIS, A.; PAPANIKOLAOU, P.; VAŠÍČEK, Z.; SIOZIOS, K.; TZIMPRAGOS, G.; TAHOORI, M.; ZERVAKIS, G. Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks. 2024 IEEE/ACM International Conference on Computer Aided Design (ICCAD). New Jersey: 2024. p. 0-0. Detail
  • OLŠÁK, O.; JAROŠ, J. Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. HPDC '24: Proceedings of the 33nd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 361-363. ISBN: 979-8-4007-0413-0. Detail
  • OLŠÁK, O.; JAROŠ, J. On the usage of the Sparse Fourier Transform in ultrasound propagation simulation. In ICBRA '23: Proceedings of the 10th International Conference on Bioinformatics Research and Applications. New York: Association for Computing Machinery, 2024. p. 107-113. ISBN: 979-8-4007-0815-2. Detail
  • SEKANINA, L. Tutorial: Evolutionary Design Methods in Electronic Design Automation. IEEE 42nd International Conference on Computer Design (ICCD). Milano: IEEE Computer Society, 2024. p. 689-690. ISBN: 979-8-3503-8040-8. Detail
  • STRNADEL, J.; LOJDA, J.; SMRŽ, P.; ŠIMEK, V. On SMC-Based Dependability Analysis in LoLiPoP-IoT Project. Limenas Hersonissou: 2024. p. 0-0. 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

  • AMIN, H.; ULLAH, R.; REZA, M.; MALIK, A. Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques. Journal of NeuroEngineering and Rehabilitation, 2023, vol. 20, no. 1, p. 1-17. ISSN: 1743-0003. Detail
  • BARDONEK, P.; ZACHARIÁŠOVÁ, M. Control Flow Analysis for Bottom-up Portable Models Creation. DVCon Europe 2023; Design and Verification Conference and Exhibition Europe. Mnichov: VDE VERLAG, 2023. p. 65-70. ISBN: 978-3-8007-6205-7. Detail
  • BAYER, D.; JAROŠ, J. Acceleration of Heat Diffusion Simulation on Single-Node Systems. Ostrava: 2023. p. 0-0. Detail
  • CHLEBÍK, J.; JAROŠ, J. Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network. GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. Lisbon: Association for Computing Machinery, 2023. p. 635-638. ISBN: 979-8-4007-0120-7. Detail
  • 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
  • JAROŠ, M.; JAROŠ, J. Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data. In Job Scheduling Strategies for Parallel Processing. JSSPP 2022. Lecture Notes in Computer Science, LNCS 13592. Virtual Event: Springer Nature Switzerland AG, 2023. p. 152-171. ISBN: 978-3-031-22697-7. 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
  • KEKELY, M.; KOŘENEK, J. Optimizing Packet Classification on FPGA. In PROCEEDINGS 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Tallinn: Institute of Electrical and Electronics Engineers, 2023. p. 7-12. ISBN: 979-8-3503-3277-3. ISSN: 2334-3133. Detail
  • KOŠAŘ, V.; ŠIŠMIŠ, L.; MATOUŠEK, J.; KOŘENEK, J. Accelerating IDS Using TLS Pre-Filter in FPGA. In Proceedings - IEEE Symposium on Computers and Communications. Tunis: IEEE Computer Society, 2023. p. 436-442. ISBN: 979-8-3503-0048-2. 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
  • MAHRUKH, R.; SHAKIL, S.; MALIK, A. Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm. Scientific Reports, 2023, vol. 13, no. 1, p. 1-15. ISSN: 2045-2322. Detail
  • MOINUDDIN, M.; ZERGUINE, A.; ARIF, M. A Weighted Gaussian Kernel Least Mean Square Algorithm. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2023, vol. 42, no. 9, p. 5267-5288. ISSN: 0278-081X. Detail
  • MRÁZEK, V. Approximation of Hardware Accelerators driven by Machine-Learning Models. 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
  • OLŠÁK, O.; JAROŠ, M.; JAROŠ, J. System for managing HPC-services and workflow executions. Ostrava: 2023. p. 0-0. Detail
  • PÁNEK, R.; LOJDA, J. The Fault-tolerant Single-FPGA Systems with a Self-repair Reconfiguration Controller. In LASCAS 2023 - 14th IEEE Latin American Symposium on Circuits and Systems, Proceedings. Quito: Institute of Electrical and Electronics Engineers, 2023. p. 104-107. ISBN: 978-1-6654-5705-7. 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
  • QADRI, S.; ARIF, M.; SAEED, M. A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2023, vol. 41, no. 12, p. 7226-7249. ISSN: 0278-081X. Detail
  • RŮŽIČKA, R.; ŠIMEK, V.; NEVORAL, J. Polymorphic RTL Computational Elements. Proceedings of the DSD 2023. Durres: IEEE Computer Society, 2023. p. 523-530. ISBN: 979-8-3503-4419-6. 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
  • SHAIKH, U.; SHAHZAIB, M.; SHAKIL, S.; BHATTI, F.; MALIK, A. Robust and Adaptive Terrain Classification and Gait Event Detection System. Heliyon, 2023, vol. 9, no. 11, p. 1-12. ISSN: 2405-8440. Detail
  • ŠIŠMIŠ, L.; KOŘENEK, J. Analysis of TLS Prefiltering for IDS Acceleration. In Passive and Active Measurement 2023. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Madrid: Springer Nature Switzerland AG, 2023. p. 85-109. ISBN: 978-3-031-28485-4. ISSN: 0302-9743. Detail
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