Department of Computer Systems

2024

  • DENIZIAK Stanisław, SITEK Paweł, JENIHHIN Maksim, STEININGER Andreas, SCHÖLZEL Mario and MRÁZEK Vojtěch, ed. 27th International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Kliece: Institute of Electrical and Electronics Engineers, 2024. ISBN 979-8-3503-5934-3. Detail
  • ARIF Muhammad, REHMAN (ur) Faizan, SEKANINA Lukáš and MALIK Aamir Saeed. A comprehensive survey of evolutionary algorithms and metaheuristics in brain EEG-based applications. Journal of Neural Engineering, vol. 21, no. 5, 2024, pp. 1-25. ISSN 1741-2552. Detail
  • HUYNH Trung Nam, ZHANG Edward, FRANCIES Olivia, KUKLIŠ Filip, ALLEN Thomas, ZHU Jiaqi, ABEYAKOON Oshaani, LUCKA Felix, BETCKE Marta, JAROŠ Jiří, ARRIDGE Simon, COX Ben T., PLUMB Andrew and BEARD Paul. A fast all-optical 3D photoacoustic scanner for clinical vascular imaging. Nature Biomedical Engineering, vol. 8, no. 10, 2024, pp. 1-18. ISSN 2157-846X. Detail
  • AMIN Ullah Hafeez, AHMED Amr, YUSOFF Zuki Mohd, MOHAMAD Saad Mohamad Naufal and MALIK Aamir Saeed. A neurophysiological model based on resting state EEG functional connectivity features for assessing semantic long-term memory performance. Biomedical Signal Processing and Control, vol. 99, no. 1, 2024, pp. 1-9. ISSN 1746-8108. Detail
  • SCHWARZEROVÁ Jana, HURTA Martin, BARTOŇ Vojtěch, LEXA Matej, WALTHER Dirk, PROVAZNÍK Valentine and WECKWERTH Wolfram. A perspective on genetic and polygenic risk scores-advances and limitations and overview of associated tools. Briefings in Bioinformatics, vol. 25, no. 3, 2024, pp. 1-11. ISSN 1467-5463. Detail
  • JAROŠ Jiří and DUCHOŇ Radek. Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic. In: HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024, pp. 370-372. ISBN 979-8-4007-0413-0. Detail
  • JAROŠ Jiří and BAYER David. afft: a C++17 wrapper library for FFT-like computations on various targets. Soláň, 2024. Detail
  • PIŇOS Michal, SEKANINA Lukáš and MRÁZEK Vojtěch. ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers. In: 2024 The International Joint Conference on Neural Networks (IJCNN). Yokohama: Institute of Electrical and Electronics Engineers, 2024, pp. 1-8. ISBN 979-8-3503-5931-2. Detail
  • VAŠÍČEK Zdeněk. Automated Synthesis of Commutative Approximate Arithmetic Operators. In: 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings. Yokohama: IEEE Computer Society, 2024, pp. 1-8. ISBN 979-8-3503-0836-5. Detail
  • VAŠÍČEK Zdeněk, MRÁZEK Vojtěch and SEKANINA Lukáš. 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, pp. 1-6. ISBN 979-8-3503-4859-0. Detail
  • JAWED Soyiba, FAYE Ibrahima and MALIK Aamir Saeed. Deep learning-based assessment model for Real-time identification of visual learners using Raw EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, no. 1, 2024, pp. 378-390. ISSN 1558-0210. Detail
  • MALIK Aamir Saeed, HUSSAIN Muhammad and CHAUDHARY Safee Ullah. Editorial: From assessment to intervention: role of consumer technology and neurotech in preventive mental health. Frontiers in Psychology, vol. 15, no. 1, 2024. ISSN 1664-1078. Detail
  • ŠÍMA Jiří, MRÁZEK Vojtěch and VIDNEROVÁ Petra. Energy Complexity of Convolutional Neural Networks. Neural Computation, vol. 36, no. 8, 2024, pp. 1601-1625. ISSN 0899-7667. Detail
  • JAROŠ Jiří, JAROŠ Marta and BUCHTA Martin. 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, pp. 1-8. ISBN 979-8-3503-0836-5. Detail
  • MRÁZEK Vojtěch, KOKKINIS Argyrios, PAPANIKOLAOU Panagiotis, VAŠÍČEK Zdeněk, SIOZIOS Kostas, TZIMPRAGOS Georgios, TAHOORI Mehdi and ZERVAKIS Georgios. Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks. In: 2024 IEEE/ACM International Conference on Computer Aided Design (ICCAD). New Jersey, 2024, p. 9. Detail
  • KLHŮFEK Jan, ŠAFÁŘ Miroslav, MRÁZEK Vojtěch, VAŠÍČEK Zdeněk and SEKANINA Lukáš. 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, pp. 1-6. ISBN 979-8-3503-5934-3. Detail
  • LOJDA Jakub, STRNADEL Josef, SMRŽ Pavel and ŠIMEK Václav. First Steps Towards Unified Low-Power IoT Design: The "DYNAMIC" Framework. In: Yerevan, 2024, p. 6. Detail
  • OLŠÁK Ondřej and JAROŠ Jiří. Investigating the Possibility of Using Pruned FFT in Ultrasound Wave Propagation Simulations. Ostrava, 2024. Detail
  • JAROŠ Marta and JAROŠ Jiří. k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. In: HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024, pp. 358-360. ISBN 979-8-4007-0413-0. Detail
  • JAROŠ Marta and JAROŠ Jiří. k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. Solan, 2024. Detail
  • JAROŠ Marta, TREEBY Bradley E. and JAROŠ Jiří. k-Plan: From the Hospital to the Cluster and Back. Sydney, 2024. Detail
  • MARTÍNEK Tomáš, KOŘENEK Jan and ČEJKA Tomáš. LGBM2VHDL: Mapping of LightGBM Models to FPGA. In: 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) . Orlando, FL: IEEE Computer Society, 2024, pp. 97-103. ISBN 979-8-3503-7243-4. Detail
  • STRNADEL Josef, LOJDA Jakub, SMRŽ Pavel and ŠIMEK Václav. Machine Learning in Context of IoT/Edge Devices and LoLiPoP-IoT Project. In: Proceedings of 32nd Austrian Workshop on Microelectronics (Austrochip 2024). Vienna: Institute of Electrical and Electronics Engineers, 2024, pp. 1-4. ISBN 979-8-3315-1617-8. Detail
  • BAYER David and JAROŠ Jiří. MATLAB Interface To The afft Library. Ostrava, 2024. Detail
  • STRNADEL Josef, LOJDA Jakub, SMRŽ Pavel and ŠIMEK Václav. On SMC-Based Dependability Analysis in LoLiPoP-IoT Project. In: Limenas Hersonissou, 2024, p. 25. Detail
  • OLŠÁK Ondřej and JAROŠ Jiří. 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, pp. 107-113. ISBN 979-8-4007-0815-2. Detail
  • HUSA Jakub and SEKANINA Lukáš. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Genetic Programming and Evolvable Machines, vol. 25, no. 3, 2024, pp. 1-32. ISSN 1389-2576. Detail
  • JAROŠ Marta, OLŠÁK Ondřej and JAROŠ Jiří. System for managing HPC-services and workflow executions. Ostrava, 2024. Detail
  • OLŠÁK Ondřej and JAROŠ Jiří. Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. In: HPDC '24: Proceedings of the 33nd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024, pp. 361-363. ISBN 979-8-4007-0413-0. Detail
  • OLŠÁK Ondřej and JAROŠ Jiří. Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. Soláň, 2024. Detail
  • LOJDA Jakub, STRNADEL Josef, ŠIMEK Václav, SMRŽ Pavel, HAYES Michael and POPP Ralf. The LoLiPoP-IoT Project: Long Life Power Platforms for Internet of Things. In: Paris: Institute of Electrical and Electronics Engineers, 2024, p. 8. Detail
  • SEKANINA Lukáš. Tutorial: Evolutionary Design Methods in Electronic Design Automation. In: IEEE 42nd International Conference on Computer Design (ICCD). Milano: IEEE Computer Society, 2024, pp. 689-690. ISBN 979-8-3503-8040-8. Detail
  • GOLDSCHMIDT Patrik and KUČERA Jan. Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning. In: NOMS 2024-2024 IEEE Network Operations and Management Symposium. Seoul: Institute of Electrical and Electronics Engineers, 2024, pp. 1-10. ISBN 979-8-3503-2793-9. Detail

2023

  • QADRI Syed Safi Uddin, ARIF Muhammad and SAEED Bin Omer Muhammad. A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks. Circuits, Systems, and Signal Processing, vol. 41, no. 12, 2023, pp. 7226-7249. ISSN 0278-081X. Detail
  • MOINUDDIN Muhammad, ZERGUINE Azzedine and ARIF Muhammad. A Weighted Gaussian Kernel Least Mean Square Algorithm. Circuits, Systems, and Signal Processing, vol. 42, no. 9, 2023, pp. 5267-5288. ISSN 0278-081X. Detail
  • KOŠAŘ Vlastimil, ŠIŠMIŠ Lukáš, MATOUŠEK Jiří and KOŘENEK Jan. Accelerating IDS Using TLS Pre-Filter in FPGA. In: Proceedings - IEEE Symposium on Computers and Communications. Tunis: IEEE Computer Society, 2023, pp. 436-442. ISBN 979-8-3503-0048-2. Detail
  • BAYER David and JAROŠ Jiří. Acceleration of Heat Diffusion Simulation on Single-Node Systems. Ostrava, 2023. Detail
  • PIŇOS Michal, MRÁZEK Vojtěch, VAVERKA Filip, VAŠÍČEK Zdeněk and SEKANINA Lukáš. Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 13, no. 1, 2023, pp. 212-224. ISSN 2156-3357. Detail
  • HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela and SEKANINA Lukáš. 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, pp. 1-2. ISBN 978-3-9819263-7-8. Detail
  • ŠIŠMIŠ Lukáš and KOŘENEK Jan. Analysis of TLS Prefiltering for IDS Acceleration. In: Passive and Active Measurement 2023. Lecture Notes in Computer Science, vol. 2023. Madrid: Springer Nature Switzerland AG, 2023, pp. 85-109. ISBN 978-3-031-28485-4. ISSN 0302-9743. Detail
  • MRÁZEK Vojtěch. 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, pp. 91-92. ISBN 979-8-3503-3277-3. Detail
  • LOJDA Jakub, PÁNEK Richard, SEKANINA Lukáš and KOTÁSEK Zdeněk. Automated Design and Usage of the Fault-Tolerant Dynamic Partial Reconfiguration Controller for FPGAs. Microelectronics Reliability, vol. 2023, no. 144, pp. 1-16. ISSN 0026-2714. Detail
  • BARDONEK Petr and ZACHARIÁŠOVÁ Marcela. Control Flow Analysis for Bottom-up Portable Models Creation. In: DVCon Europe 2023; Design and Verification Conference and Exhibition Europe. Mnichov: VDE VERLAG, 2023, pp. 65-70. ISBN 978-3-8007-6205-7. Detail
  • MRÁZEK Vojtěch, JAWED Soyiba, ARIF Muhammad and MALIK Aamir Saeed. 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, pp. 1427-1435. ISBN 979-8-4007-0119-1. Detail
  • ŠÍMA Jiří, VIDNEROVÁ Petra and MRÁZEK Vojtěch. Energy Complexity Model for Convolutional Neural Networks. In: Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Heraklion, 2023, pp. 186-198. ISBN 978-3-031-44203-2. Detail
  • SEDLÁČEK Marek and SEKANINA Lukáš. Evolution of Editing Scripts From Examples. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '23). Lisbon: Association for Computing Machinery, 2023, pp. 803-806. ISBN 979-8-4007-0120-7. Detail
  • CHLEBÍK Jakub and JAROŠ Jiří. Evolutionary Exploration of a Neural Network for Predicting Ultrasound Propagation. Ostrava, 2023. Detail
  • CHLEBÍK Jakub and JAROŠ Jiří. 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. ISBN 979-8-4007-0120-7. Detail
  • KALKREUTH Roman, VAŠÍČEK Zdeněk, HUSA Jakub, VERMETTEN Diederick, YE Furong and THOMAS Bäck. 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, pp. 84-95. ISBN 979-8-4007-0202-0. Detail
  • GIACOBINI Mario, PAPPA Gisele and VAŠÍČEK Zdeněk, ed. Genetic Programming. LNCS 13986. Cham: Springer Verlag, 2023. ISBN 978-3-031-29572-0. Detail
  • JŮZA Tadeáš and SEKANINA Lukáš. GPAM: Genetic Programming with Associative Memory. In: 26th European Conference on Genetic Programming (EuroGP) Held as Part of EvoStar. LNCS, vol. 13986. Cham: Springer Nature Switzerland AG, 2023, pp. 68-83. ISBN 978-3-031-29572-0. ISSN 0302-9743. Detail
  • SEKANINA Lukáš, MRÁZEK Vojtěch and PIŇOS Michal. Hardware-Aware Evolutionary Approaches to Deep Neural Networks. Handbook of Evolutionary Machine Learning. Genetic and Evolutionary Computation. Singapore: Springer Nature Singapore, 2023, pp. 367-396. ISBN 978-981-9938-13-1. Detail
  • HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela and SEKANINA Lukáš. 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, pp. 155-160. ISBN 979-8-3503-3277-3. Detail
  • HURTA Martin, MRÁZEK Vojtěch, DRAHOŠOVÁ Michaela and SEKANINA Lukáš. Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno, 2023. Detail
  • JAROŠ Marta and JAROŠ Jiří. Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data. In: Job Scheduling Strategies for Parallel Processing. Lecture Notes in Computer Science, LNCS 13592, vol. 13592. Virtual Event: Springer Nature Switzerland AG, 2023, pp. 152-171. ISBN 978-3-031-22697-7. Detail
  • KEKELY Michal and KOŘENEK Jan. Optimizing Packet Classification on FPGA. In: PROCEEDINGS 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). Tallinn: Institute of Electrical and Electronics Engineers, 2023, pp. 7-12. ISBN 979-8-3503-3277-3. ISSN 2334-3133. Detail
  • RŮŽIČKA Richard, ŠIMEK Václav and NEVORAL Jan. Polymorphic RTL Computational Elements. In: Proceedings of the DSD 2023. Durres: IEEE Computer Society, 2023, pp. 523-530. ISBN 979-8-3503-4419-6. Detail
  • STRNADEL Josef. Poznámky k psaní technických zpráv. Brno: Department of Computer Systems FIT BUT, 2023. Detail
  • PIŇOS Michal, MRÁZEK Vojtěch and SEKANINA Lukáš. 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, pp. 45-50. ISBN 979-8-3503-3277-3. Detail
  • SHAIKH Qamar Usman, SHAHZAIB Muhammad, SHAKIL Sadia, BHATTI A. Farrukh and MALIK Aamir Saeed. Robust and Adaptive Terrain Classification and Gait Event Detection System. Heliyon, vol. 9, no. 11, 2023, pp. 1-12. ISSN 2405-8440. Detail
  • HUSA Jakub and SEKANINA Lukáš. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno, 2023. Detail
  • MAHRUKH Rimsha, SHAKIL Sadia and MALIK Aamir Saeed. Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm. Scientific Reports, vol. 13, no. 7267, 2023, pp. 1-15. ISSN 2045-2322. Detail
  • AMIN Ullah Hafeez, ULLAH Rafi, REZA Faruque Mohammed and MALIK Aamir Saeed. 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, vol. 20, no. 70, 2023, pp. 1-17. ISSN 1743-0003. Detail
  • OLŠÁK Ondřej, JAROŠ Marta and JAROŠ Jiří. System for managing HPC-services and workflow executions. Ostrava, 2023. Detail
  • DYK Tomáš and DRAHANSKÝ Martin. Tank Barrel Surface Damage Detection Algorithm. In: ICMT 2023: 17. International Conference on Military Technology. Brno: IEEE Computer Society, 2023, pp. 1-4. ISBN 979-8-3503-2568-3. Detail
  • PÁNEK Richard and LOJDA Jakub. 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, pp. 104-107. ISBN 978-1-6654-5705-7. Detail
  • KALKREUTH Roman, VAŠÍČEK Zdeněk, HUSA Jakub, VERMETTEN Diederick, YE Furong and THOMAS Bäck. 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, pp. 591-594. ISBN 979-8-4007-0120-7. Detail
  • HURTA Martin, SCHWARZEROVÁ Jana, PROVAZNÍK Valentine, WECKWERTH Wolfram, WALTHER Dirk and SEKANINA Lukáš. Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants. Program and Abstract Book: Swedish Bioinformatics Workshop 2023. Stockholm, 2023. Detail
  • NAGELE Thomas, WECKWERTH Wolfram, HURTA Martin, SCHWARZEROVÁ Jana, SEKANINA Lukáš and PROVAZNÍK Valentine. 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, pp. 3782-3787. ISBN 979-8-3503-3748-8. Detail
  • PRABAKARAN Bharath S., MRÁZEK Vojtěch, VAŠÍČEK Zdeněk, SEKANINA Lukáš and SHAFIQUE Muhammad. 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, pp. 1-9. ISBN 979-8-3503-1559-2. Detail
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