Department of Computer Systems

2026

  • CHLEBÍK, J.; JAROŠ, J. Evolutionary Exploration of an Ultrasound Propagation Predictor Neural Net. Brno: 2026. 16 p. Detail

2025

  • AMIN, H.; AHMED, A.; YUSOFF, M.; MOHAMAD SAAD, M.; MALIK, A. A neurophysiological model based on resting state EEG functional connectivity features for assessing semantic long-term memory performance. Biomedical Signal Processing and Control, 2025, vol. 99, no. 1, p. 1-11. ISSN: 1746-8108. Detail
  • AZHAR ALI, S.; AL-QURAISHI, M.; EL FERIK, S.; MALIK, A. Enhancing Mental Workload Prediction through LightGBM during Multitasking. 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT). Croatia: IEEE, 2025. p. 1267-1271. ISBN: 979-8-3315-0338-3. Detail
  • BIDLO, M.; SARANOVÁ, I. Multi-purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules. In Applications of Evolutionary Computation: 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part II. Lecture Notes in Computer Science. Trieste: Springer Nature Switzerland AG, 2025. p. 457-472. ISBN: 978-3-031-90064-8. Detail
  • BOSIO, A.; BERNARDI, P.; TRAIOLA, M.; MRÁZEK, V. 28th International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Lyon: Institute of Electrical and Electronics Engineers, 2025. 168 p. ISBN: 979-8-3315-2801-0. Detail
  • HURTA, M.; OVESNÁ, A.; MRÁZEK, V.; SEKANINA, L. Multi-Objective Evolutionary Design of Explainable EEG Classifier. Genetic Programming, 28th European Conference, EuroGP 2025. Lecture Notes in Computer Science. Terst: Springer Nature Switzerland AG, 2025. p. 52-67. ISBN: 978-3-031-89990-4. Detail
  • HUSSAIN, Y.; AMNA, R.; MALIK, A. ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes. 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Chemnitz: IEEE Computer Society, 2025. p. 1-6. ISBN: 979-8-3315-0500-4. Detail
  • HUSSAIN, Y.; FATIMA, M.; MALIK, A. A Deep Learning Approach to EEG-Based Diagnosis of Cognitive Skills Impairment: Electrode-Level Analysis Insights. In 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI). Athens, Greece: IEEE, 2025. p. 1470-1475. ISBN: 979-8-3315-4919-0. Detail
  • HUSSAIN, Y.; SURAWEERA, S.; MALIK, A. Unraveling Cognitive Impairments in Mental and Neurological Disorders: A Biomarker-Based Mapping Framework. Neuroscience and Biobehavioral Reviews, 2025, vol. 180, no. 106426, 28 p. Detail
  • KALKREUTH, R.; DE, O.; JANKOVIC, A.; ANASTACIO, M.; DIERKES, J.; VAŠÍČEK, Z.; HOOS, H. TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming. Proceedings of the Genetic and Evolutionary Computation Conference Companion. Malaga: Association for Computing Machinery, 2025. p. 2172-2176. ISBN: 979-8-4007-1464-1. Detail
  • LOJDA, J.; STRNADEL, J.; SMRŽ, P.; ŠIMEK, V. Multi-Partner Project: LoLiPoP-IoT - Design and Simulation of Energy-Efficient Devices for the Internet of Things. In 2025 Design, Automation & Test in Europe Conference (DATE) Proceedings. Lyon: Institute of Electrical and Electronics Engineers, 2025. p. 1-7. ISBN: 978-3-9826741-0-0. Detail
  • MASÁR, F.; MRÁZEK, V.; SEKANINA, L. Late Breaking Result: FPGA-Based Emulation and Fault Injection for CNN Inference Accelerators. In 2025 Design, Automation & Test in Europe Conference & Exhibition (DATE). Lyon: Institute of Electrical and Electronics Engineers, 2025. p. 1-2. ISBN: 978-3-9826741-0-0. Detail
  • MRÁZEK, V.; BALASKAS, K.; DUARTE, P.; VAŠÍČEK, Z.; TAHOORI, M.; ZERVAKIS, G. Arbitrary Precision Printed Ternary Neural Networks with Holistic Evolutionary Approximation. IEEE Transactions on Circuits and Systems for Artificial Intelligence, 2025, vol. 2, no. 4, p. 351-363. Detail
  • MRÁZEK, V.; VAŠÍČEK, Z. AxMED: Formal Analysis and Automated Design of Approximate Median Filters using BDDs. In 2025 IEEE International Symposium on Circuits and Systems (ISCAS). London: Institute of Electrical and Electronics Engineers, 2025. p. 1-5. ISBN: 979-8-3503-5683-0. Detail
  • OLŠÁK, O.; BAYER, D.; JAROŠ, J. Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation. Computational Science - ICCS 2025 Workshops. Lecture Notes in Computer Science, vol 15908. Cham: Springer Nature Switzerland AG, 2025. p. 67-82. ISBN: 978-3-031-97557-8. Detail
  • OLŠÁK, O.; JAROŠ, J. Accelerating Ultrasound Wave Propagation Simulations using Pruned FFT. 2024 IEEE International Conference on High Performance Computing and Communications (HPCC). IEEE International Conference on High Performance Computing and Communications. Wuhan: IEEE Computer Society, 2025. p. 168-173. ISBN: 979-8-3315-4046-3. Detail
  • PIŇOS, M.; KLHŮFEK, J.; MRÁZEK, V.; SEKANINA, L. Inference Energy Analysis in Context of Hardware-Aware NAS. In 2025 28th International Symposium on Design and Diagnostics of Electronic Circuits and Systems. Lyon: Institute of Electrical and Electronics Engineers, 2025. p. 161-164. ISBN: 979-8-3315-2801-0. Detail
  • PLEVAČ, L.; VAŠÍČEK, Z. Towards Efficient Semantic Mutation in CGP: Enhancing SOMOk. Proceedings of the Genetic and Evolutionary Computation Conference Companion. Malaga: Association for Computing Machinery, 2025. p. 2172-2176. ISBN: 979-8-4007-1464-1. Detail
  • SEDLÁK, D.; BIDLO, M.; CERVENKA, M. Action-based Representation for Stochastic Optimization of Complex Real-World RVRP. In 2025 IEEE Congress on Evolutionary Computation, CEC 2025. Hangzhou: Institute of Electrical and Electronics Engineers, 2025. p. 1-4. ISBN: 979-8-3315-3431-8. Detail
  • SEDLÁK, D.; KLHŮFEK, J.; MRÁZEK, V.; VAŠÍČEK, Z. Towards Efficient Scheduling of Transformer Neural Network Computation for Edge AI Deployment. Proceedings of the Genetic and Evolutionary Computation Conference Companion. Malaga: Association for Computing Machinery, 2025. p. 2242-2248. ISBN: 979-8-4007-1464-1. Detail
  • SEKANINA, L.; JŮZA, T. Genetic Programming with Memory for Approximate Data Reconstruction. In Genetic Programming Theory and Practice XXI. Singapore: Springer Nature Singapore, 2025. p. 199-218. ISBN: 978-981-9600-76-2. Detail
  • SETINSKÝ, J.; ŽÁDNÍK, M. An Empirical Study of a PCA-Based Multivariate Framework for Interpretable Log Anomaly Detection. In 2025 21st International Conference on Network and Service Management (CNSM). New York: IEEE, 2025. p. 1-6. ISBN: 978-3-903176-75-1. Detail
  • SETINSKÝ, J.; ŽÁDNÍK, M. EvoParser: An Evolutionary Approach to Log Parsing. In 38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025. Honolulu: IEEE Communications Society, 2025. p. 1-8. ISBN: 979-8-3315-3164-5. Detail
  • STRNADEL, J. Using Statistical Model Checker for Schedulability Analysis of Real-Time Systems Under Uncertainty. In Lecture Notes in Computer Science, Bridging the Gap Between AI and Reality. Cham: Springer Nature Switzerland, 2025. p. 233-256. ISBN: 978-3-032-01376-7. Detail
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