Marcin Pietron

85 papers A* 3A 1B 4C 2Misc 2Journal 54Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2. CoRR Marcin Pietron, Filip Gampel, Jakub Gomulka, Andrzej Tomski, Rafal Olszowski
2026	J	`jnl`	Quality of Automatic Speech Recognition - Polish Language case study - from Wav2Vec to Scribe ElevenLabs. CoRR Marcin Pietron, Szymon Piórkowski, Kamil Faber, Dominik Zurek, Michal Karwatowski, Jerzy Duda, Hubert Zielinski, Piotr Lipnicki, Mikolaj Leszczuk
2026	J	`jnl`	Rethinking the Harmonic Loss via Non-Euclidean Distance Layers. CoRR Maxwell Miller-Golub, Collin Coil, Kamil Faber, Marcin Pietron, Panpan Zheng, Pasquale Minervini, Roberto Corizzo
2025	J	`jnl`	A Parallel Approach for Metaheuristics solving the Labs Problem using CPU and GPU. Comput. Sci. Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki
2025	J	`jnl`	A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1. CoRR Marcin Pietron, Rafal Olszowski, Jakub Gomulka, Filip Gampel, Andrzej Tomski
2025	J	`jnl`	AD-NEv: A Scalable Multilevel Neuroevolution Framework for Multivariate Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2025	B	`conf`	Fast and Efficient Integer Linear Programming Method for Aircraft Recovery Problem. IEEE Big Data Dominik Zurek, Wieslaw Dudek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber
2025	A*	`conf`	Rodecon-net: Medical Image Segmentation via Robust Decoupling and Contrast-enhanced Fusion. ACM Multimedia Yongquan Xue, Zhaoru Guo, Zhaozhao Su, Chong Peng, Jun Feng, Pan Zhou, Marcin Pietron, Xiyuan Wang, Liejun Wang, Panpan Zheng
2025	A*	`conf`	TinySubNets: An Efficient and Low Capacity Continual Learning Strategy. AAAI Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo
2025	A*	`conf`	xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection. ICDM Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo
2025	J	`jnl`	xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection. CoRR Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo
2024	B	`conf`	A Deep Double Q-Learning as a SDLS support in solving LABS problem. ESANN Dominik Zurek, Marcin Pietron, Kamil Pietak, Kamil Faber
2024	—	`conf`	AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework. GECCO Companion Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wójcik
2024	J	`jnl`	AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework. CoRR Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2024	—	`conf`	Efficient Argument Classification with Compact Language Models and ChatGPT-4 Refinements. ICCCI (1) Marcin Pietron, Rafal Olszowski, Jakub Gomulka
2024	J	`jnl`	Efficient argument classification with compact language models and ChatGPT-4 refinements. CoRR Marcin Pietron, Rafal Olszowski, Jakub Gomulka
2024	J	`jnl`	Estimation of Small-Stream Water Surface Elevation Using UAV Photogrammetry and Deep Learning. Remote. Sens. Radoslaw Szostak, Marcin Pietron, Przemyslaw Wachniew, Miroslaw Zimnoch, Pawel Cwiakala
2024	J	`jnl`	From MNIST to ImageNet and back: benchmarking continual curriculum learning. Mach. Learn. Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2024	B	`conf`	RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem. IEEE Big Data Dominik Zurek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber
2024	J	`jnl`	Solving Multi-Goal Robotic Tasks with Decision Transformer. CoRR Paul Gajewski, Dominik Zurek, Marcin Pietron, Kamil Faber
2024	J	`jnl`	TinySubNets: An efficient and low capacity continual learning strategy. CoRR Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo
2024	—	`conf`	Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection. ICCS (3) Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2024	J	`jnl`	Towards efficient deep autoencoders for multivariate time series anomaly detection. CoRR Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023	J	`jnl`	AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection. CoRR Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023	A	`conf`	Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. ECAI Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023	J	`jnl`	Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting. CoRR Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023	—	`conf`	Chosen Methods of Improving Small Object Recognition with Weak Recognizable Features. FICC (2) Magdalena Stachon, Marcin Pietron
2023	J	`jnl`	Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification. CoRR Jan Krupinski, Maciej Wielgosz, Szymon Mazurek, Krystian Strzalka, Pawel Russek, Jakub Caputa, Daria Lukasik, Jakub Grzeszczyk, Michal Karwatowski, Rafal Fraczek, Ernest Jamro, Marcin Pietron, Sebastian Koryciak, Agnieszka Dabrowska-Boruch, Kazimierz Wiatr
2023	J	`jnl`	Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning. CoRR Radoslaw Szostak, Marcin Pietron, Przemyslaw Wachniew, Miroslaw Zimnoch, Pawel Cwiakala
2023	J	`jnl`	From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning. CoRR Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2023	J	`jnl`	J-Parallelio - automatic parallelization framework for Java virtual machine code. CoRR Krzysztof Stuglik, Piotr Listkiewicz, Mateusz Kulczyk, Marcin Pietron
2023	J	`jnl`	Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis. CoRR Jakub Grzeszczyk, Michal Karwatowski, Daria Lukasik, Maciej Wielgosz, Pawel Russek, Szymon Mazurek, Jakub Caputa, Rafal Fraczek, Anna Smiech, Ernest Jamro, Sebastian Koryciak, Agnieszka Dabrowska-Boruch, Marcin Pietron, Kazimierz Wiatr
2023	J	`jnl`	Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction. J. Comput. Sci. Marcin Pietron, Dominik Zurek, Bartlomiej Sniezynski
2023	B	`conf`	Transformed-*: A domain-incremental lifelong learning scenario generation framework. IJCNN Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber
2023	J	`jnl`	Using simulation to calibrate real data acquisition in veterinary medicine. CoRR Krystian Strzalka, Szymon Mazurek, Maciej Wielgosz, Pawel Russek, Jakub Caputa, Daria Lukasik, Jan Krupinski, Jakub Grzeszczyk, Michal Karwatowski, Rafal Fraczek, Ernest Jamro, Marcin Pietron, Sebastian Koryciak, Agnieszka Dabrowska-Boruch, Kazimierz Wiatr
2023	J	`jnl`	Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology. CoRR Jakub Caputa, Maciej Wielgosz, Daria Lukasik, Pawel Russek, Jakub Grzeszczyk, Michal Karwatowski, Szymon Mazurek, Rafal Fraczek, Anna Smiech, Ernest Jamro, Sebastian Koryciak, Agnieszka Dabrowska-Boruch, Marcin Pietron, Kazimierz Wiatr
2022	—	`conf`	A Deep Neural Network as a TABU Support in Solving LABS Problem. ICCS (1) Dominik Zurek, Marcin Pietron, Kamil Pietak, Marek Kisiel-Dorohinicki
2022	C	`conf`	Canine age classification using Deep Learning as a step towards preventive medicine in animals. FedCSIS Szymon Mazurek, Maciej Wielgosz, Jakub Caputa, Rafal Fraczek, Michal Karwatowski, Jakub Grzeszczyk, Daria Lukasik, Anna Smiech, Pawel Russek, Ernest Jamro, Agnieszka Dabrowska-Boruch, Marcin Pietron, Sebastian Koryciak, Kazimierz Wiatr
2022	J	`jnl`	Chosen methods of improving object recognition of small objects with weak recognizable features. CoRR Magdalena Stachon, Marcin Pietron
2022	J	`jnl`	Context based lemmatizer for Polish language. CoRR Michal Karwatowski, Marcin Pietron
2021	—	`conf`	Accelerating Deep Convolutional Neural on GPGPU. SAI (2) Dominik Zurek, Marcin Pietron, Kazimierz Wiatr
2021	J	`jnl`	Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection. Entropy Kamil Faber, Marcin Pietron, Dominik Zurek
2021	J	`jnl`	Ensemble neuroevolution based approach for multivariate time series anomaly detection. CoRR Kamil Faber, Dominik Zurek, Marcin Pietron, Kamil Pietak
2021	J	`jnl`	Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection. CoRR Marcin Pietron, Dominik Zurek, Kamil Faber
2021	J	`jnl`	Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models. CoRR Radoslaw Szostak, Marcin Pietron, Miroslaw Zimnoch, Przemyslaw Wachniew, Pawel Cwiakala, Edyta Puniach
2021	—	`conf`	New Variants of SDLS Algorithm for LABS Problem Dedicated to GPGPU Architectures. ICCS (1) Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki
2021	J	`jnl`	Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction. CoRR Marcin Pietron, Dominik Zurek
2020	J	`jnl`	Compression of Convolutional Neural Network for Natural Language Processing. Comput. Sci. Krzysztof Wróbel, Michal Karwatowski, Maciej Wielgosz, Marcin Pietron, Kazimierz Wiatr
2020	J	`jnl`	Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification. Neural Process. Lett. Mo'taz Al-Hami, Marcin Pietron, Raúl A. Casas, Maciej Wielgosz
2020	—	`conf`	Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks. ICCS (3) Marcin Pietron, Maciej Wielgosz
2020	J	`jnl`	Retrain or not retrain? - efficient pruning methods of deep CNN networks. CoRR Marcin Pietron, Maciej Wielgosz
2020	J	`jnl`	Training with reduced precision of a support vector machine model for text classification. CoRR Dominik Zurek, Marcin Pietron
2020	J	`jnl`	When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity. CoRR Marcin Pietron, Dominik Zurek
2019	—	`conf`	Ensemble Approach for Natural Language Question Answering Problem. CANDAR Workshops Anna Aniol, Marcin Pietron, Jerzy Duda
2019	J	`jnl`	Ensemble approach for natural language question answering problem. CoRR Anna Aniol, Marcin Pietron
2019	—	`conf`	Fast Compression and Optimization of Deep Learning Models for Natural Language Processing. CANDAR Workshops Marcin Pietron, Michal Karwatowski, Maciej Wielgosz, Jerzy Duda
2019	—	`conf`	Improvements of Monotonicity Approach to Solve Interval Parametric Linear Systems. PPAM (2) Iwona Skalna, Marcin Pietron, Milan Hladík
2019	J	`jnl`	Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment. J. Comput. Sci. Kamil Pietak, Dominik Zurek, Marcin Pietron, Andrzej Dymara, Marek Kisiel-Dorohinicki
2018	J	`jnl`	Convolutional neural network compression for natural language processing. CoRR Krzysztof Wróbel, Marcin Pietron, Maciej Wielgosz, Michal Karwatowski, Kazimierz Wiatr
2018	J	`jnl`	FPGA Implementation of Procedures for Video Quality Assessment. Comput. Sci. Maciej Wielgosz, Michal Karwatowski, Marcin Pietron, Kazimierz Wiatr
2018	—	`conf`	Improving Text Classification with Vectors of Reduced Precision. ICAART (2) Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Jerzy Duda, Aleksander Smywinski-Pohl
2018	J	`jnl`	Method for Hybrid Precision Convolutional Neural Network Representation. CoRR Mo'taz Al-Hami, Marcin Pietron, Rishi Kumar, Raúl A. Casas, Samer L. Hijazi, Chris Rowen
2018	—	`conf`	Towards a Stable Quantized Convolutional Neural Networks: An Embedded Perspective. ICAART (2) Mo'taz Al-Hami, Marcin Pietron, Raúl A. Casas, Samer L. Hijazi, Piyush Kaul
2017	J	`jnl`	Evaluation and Implementation of n-Gram-Based Algorithm for Fast Text Comparison. Comput. Informatics Maciej Wielgosz, Pawel Szczepka, Pawel Russek, Ernest Jamro, Kazimierz Wiatr, Marcin Pietron, Dominik Zurek
2017	J	`jnl`	Experiment on Methods for Clustering and Categorization of Polish Text. Comput. Informatics Maciej Wielgosz, Rafal Fraczek, Pawel Russek, Marcin Pietron, Agnieszka Dabrowska-Boruch, Ernest Jamro, Kazimierz Wiatr
2017	J	`jnl`	Implementation of Digital Watermarking Algorithms in Parallel Hardware Accelerators. Int. J. Parallel Program. Andrzej Glowacz, Marcin Pietron
2017	J	`jnl`	Improving text classification with vectors of reduced precision. CoRR Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Aleksander Smywinski-Pohl
2017	J	`jnl`	Leveraging heterogeneous parallel platform in solving hard discrete optimization problems with metaheuristics. J. Comput. Sci. Marcin Pietron, Aleksander Byrski, Marek Kisiel-Dorohinicki
2017	Misc	`conf`	Toward hybrid platform for evolutionary computations of hard discrete problems. ICCS Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki
2017	J	`jnl`	Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity. Neurocomputing Maciej Wielgosz, Marcin Pietron
2016	—	`conf`	Comparison of SVM and Ontology-Based Text Classification Methods. ICAISC (1) Krzysztof Wróbel, Maciej Wielgosz, Aleksander Smywinski-Pohl, Marcin Pietron
2016	J	`jnl`	FPGA implementation of the procedures for video quality assessment. CoRR Maciej Wielgosz, Michal Karwatowski, Marcin Pietron, Kazimierz Wiatr
2016	—	`conf`	Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions. IJCRS Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
2016	J	`jnl`	Formal analysis of HTM Spatial Pooler performance under predefined operation conditions. CoRR Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
2016	J	`jnl`	Noisy video classification with Spatial Pooler of Hierarchical Temporal Memory. CoRR Maciej Wielgosz, Marcin Pietron
2016	J	`jnl`	OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory. CoRR Maciej Wielgosz, Marcin Pietron
2016	—	`conf`	Parallel Implementation of Spatial Pooler in Hierarchical Temporal Memory. ICAART (2) Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
2016	—	`conf`	Study of the Parallel Techniques for Dimensionality Reduction and Its Impact on Performance of the Text Processing Algorithms. ICAART (1) Marcin Pietron, Maciej Wielgosz, Pawel Russek, Kazimierz Wiatr
2016	C	`conf`	Using Spatial Pooler of Hierarchical Temporal Memory for object classification in noisy video streams. FedCSIS Maciej Wielgosz, Marcin Pietron, Kazimierz Wiatr
2015	Misc	`conf`	GPGPU for Difficult Black-box Problems. ICCS Marcin Pietron, Aleksander Byrski, Marek Kisiel-Dorohinicki
2014	—	`ch.`	Implementation of a System for Fast Text Search and Document Comparison. Intelligent Tools for Building a Scientific Information Platform Maciej Wielgosz, Marcin Janiszewski, Pawel Russek, Marcin Pietron, Ernest Jamro, Kazimierz Wiatr
2013	J	`jnl`	Accelerating Select where and Select Join Queries on a GPU. Comput. Sci. Marcin Pietron, Pawel Russek, Kazimierz Wiatr
2013	—	`conf`	Comparison of GPU and FPGA Implementation of SVM Algorithm for Fast Image Segmentation. ARCS Marcin Pietron, Maciej Wielgosz, Dominik Zurek, Ernest Jamro, Kazimierz Wiatr
2013	J	`jnl`	Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms. Comput. Sci. Dominik Zurek, Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
2010	J	`jnl`	Loop profiling tool for HPC code inspection as an efficient method of FPGA based acceleration. Int. J. Appl. Math. Comput. Sci. Marcin Pietron, Pawel Russek, Kazimierz Wiatr