Marcin Pietron

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 62

Top Topics

Convolutional Neural Network

Anomaly Detection

Quality Assessment

Fpga Implementation

Top Venues

J. Comput. Sci.

Comput. Informatics

Publications

Radoslaw Szostak, Marcin Pietron, Przemyslaw Wachniew, Miroslaw Zimnoch, Pawel Cwiakala
Estimation of Small-Stream Water Surface Elevation Using UAV Photogrammetry and Deep Learning. Remote. Sens. 16 (8) (2024)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection. ICCS (3) (2024)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework. CoRR (2024)
Marcin Pietron, Rafal Olszowski, Jakub Gomulka
Efficient argument classification with compact language models and ChatGPT-4 refinements. CoRR (2024)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wójcik
AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework. GECCO Companion (2024)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
Towards efficient deep autoencoders for multivariate time series anomaly detection. CoRR (2024)
Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning. CoRR (2023)
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
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis. CoRR (2023)
Marcin Pietron, Dominik Zurek, Bartlomiej Sniezynski
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction. J. Comput. Sci. 67 (2023)
Krzysztof Stuglik, Piotr Listkiewicz, Mateusz Kulczyk, Marcin Pietron
J-Parallelio - automatic parallelization framework for Java virtual machine code. CoRR (2023)
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
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology. CoRR (2023)
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
Using simulation to calibrate real data acquisition in veterinary medicine. CoRR (2023)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting. CoRR (2023)
Radoslaw Szostak, Marcin Pietron, Przemyslaw Wachniew, Miroslaw Zimnoch, Pawel Cwiakala
Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning. CoRR (2023)
Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber
Transformed-*: A domain-incremental lifelong learning scenario generation framework. IJCNN (2023)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection. CoRR (2023)
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
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification. CoRR (2023)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. ECAI (2023)
Magdalena Stachon, Marcin Pietron
Chosen Methods of Improving Small Object Recognition with Weak Recognizable Features. FICC (2) (2023)
Magdalena Stachon, Marcin Pietron
Chosen methods of improving object recognition of small objects with weak recognizable features. CoRR (2022)
Dominik Zurek, Marcin Pietron, Kamil Pietak, Marek Kisiel-Dorohinicki
A Deep Neural Network as a TABU Support in Solving LABS Problem. ICCS (1) (2022)
Michal Karwatowski, Marcin Pietron
Context based lemmatizer for Polish language. CoRR (2022)
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
Canine age classification using Deep Learning as a step towards preventive medicine in animals. FedCSIS (2022)
Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki
New Variants of SDLS Algorithm for LABS Problem Dedicated to GPGPU Architectures. ICCS (1) (2021)
Marcin Pietron, Dominik Zurek
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction. CoRR (2021)
Dominik Zurek, Marcin Pietron, Kazimierz Wiatr
Accelerating Deep Convolutional Neural on GPGPU. SAI (2) (2021)
Kamil Faber, Dominik Zurek, Marcin Pietron, Kamil Pietak
Ensemble neuroevolution based approach for multivariate time series anomaly detection. CoRR (2021)
Radoslaw Szostak, Marcin Pietron, Miroslaw Zimnoch, Przemyslaw Wachniew, Pawel Cwiakala, Edyta Puniach
Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models. CoRR (2021)
Kamil Faber, Marcin Pietron, Dominik Zurek
Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection. Entropy 23 (11) (2021)
Marcin Pietron, Dominik Zurek, Kamil Faber
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection. CoRR (2021)
Dominik Zurek, Marcin Pietron
Training with reduced precision of a support vector machine model for text classification. CoRR (2020)
Marcin Pietron, Maciej Wielgosz
Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks. ICCS (3) (2020)
Marcin Pietron, Dominik Zurek
When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity. CoRR (2020)
Mo'taz Al-Hami, Marcin Pietron, Raúl A. Casas, Maciej Wielgosz
Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification. Neural Process. Lett. 51 (1) (2020)
Krzysztof Wróbel, Michal Karwatowski, Maciej Wielgosz, Marcin Pietron, Kazimierz Wiatr
Compression of Convolutional Neural Network for Natural Language Processing. Comput. Sci. 21 (1) (2020)
Marcin Pietron, Maciej Wielgosz
Retrain or not retrain? - efficient pruning methods of deep CNN networks. CoRR (2020)
Anna Aniol, Marcin Pietron, Jerzy Duda
Ensemble Approach for Natural Language Question Answering Problem. CANDAR Workshops (2019)
Anna Aniol, Marcin Pietron
Ensemble approach for natural language question answering problem. CoRR (2019)
Kamil Pietak, Dominik Zurek, Marcin Pietron, Andrzej Dymara, Marek Kisiel-Dorohinicki
Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment. J. Comput. Sci. 31 (2019)
Marcin Pietron, Michal Karwatowski, Maciej Wielgosz, Jerzy Duda
Fast Compression and Optimization of Deep Learning Models for Natural Language Processing. CANDAR Workshops (2019)
Iwona Skalna, Marcin Pietron, Milan Hladík
Improvements of Monotonicity Approach to Solve Interval Parametric Linear Systems. PPAM (2) (2019)
Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Jerzy Duda, Aleksander Smywinski-Pohl
Improving Text Classification with Vectors of Reduced Precision. ICAART (2) (2018)
Mo'taz Al-Hami, Marcin Pietron, Rishi Kumar, Raúl A. Casas, Samer L. Hijazi, Chris Rowen
Method for Hybrid Precision Convolutional Neural Network Representation. CoRR (2018)
Krzysztof Wróbel, Marcin Pietron, Maciej Wielgosz, Michal Karwatowski, Kazimierz Wiatr
Convolutional neural network compression for natural language processing. CoRR (2018)
Mo'taz Al-Hami, Marcin Pietron, Raúl A. Casas, Samer L. Hijazi, Piyush Kaul
Towards a Stable Quantized Convolutional Neural Networks: An Embedded Perspective. ICAART (2) (2018)
Maciej Wielgosz, Michal Karwatowski, Marcin Pietron, Kazimierz Wiatr
FPGA Implementation of Procedures for Video Quality Assessment. Comput. Sci. 19 (3) (2018)
Marcin Pietron, Aleksander Byrski, Marek Kisiel-Dorohinicki
Leveraging heterogeneous parallel platform in solving hard discrete optimization problems with metaheuristics. J. Comput. Sci. 18 (2017)
Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki
Toward hybrid platform for evolutionary computations of hard discrete problems. ICCS (2017)
Andrzej Glowacz, Marcin Pietron
Implementation of Digital Watermarking Algorithms in Parallel Hardware Accelerators. Int. J. Parallel Program. 45 (5) (2017)
Maciej Wielgosz, Pawel Szczepka, Pawel Russek, Ernest Jamro, Kazimierz Wiatr, Marcin Pietron, Dominik Zurek
Evaluation and Implementation of n-Gram-Based Algorithm for Fast Text Comparison. Comput. Informatics 36 (4) (2017)
Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Aleksander Smywinski-Pohl
Improving text classification with vectors of reduced precision. CoRR (2017)
Maciej Wielgosz, Marcin Pietron
Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity. Neurocomputing 240 (2017)
Maciej Wielgosz, Rafal Fraczek, Pawel Russek, Marcin Pietron, Agnieszka Dabrowska-Boruch, Ernest Jamro, Kazimierz Wiatr
Experiment on Methods for Clustering and Categorization of Polish Text. Comput. Informatics 36 (1) (2017)
Maciej Wielgosz, Michal Karwatowski, Marcin Pietron, Kazimierz Wiatr
FPGA implementation of the procedures for video quality assessment. CoRR (2016)
Krzysztof Wrobel, Maciej Wielgosz, Aleksander Smywinski-Pohl, Marcin Pietron
Comparison of SVM and Ontology-Based Text Classification Methods. ICAISC (1) (2016)
Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
Formal analysis of HTM Spatial Pooler performance under predefined operation conditions. CoRR (2016)
Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions. IJCRS (2016)
Maciej Wielgosz, Marcin Pietron, Kazimierz Wiatr
Using Spatial Pooler of Hierarchical Temporal Memory for object classification in noisy video streams. FedCSIS (2016)
Maciej Wielgosz, Marcin Pietron
Noisy video classification with Spatial Pooler of Hierarchical Temporal Memory. CoRR (2016)
Marcin Pietron, Maciej Wielgosz, Pawel Russek, Kazimierz Wiatr
Study of the Parallel Techniques for Dimensionality Reduction and Its Impact on Performance of the Text Processing Algorithms. ICAART (1) (2016)
Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
Parallel Implementation of Spatial Pooler in Hierarchical Temporal Memory. ICAART (2) (2016)
Maciej Wielgosz, Marcin Pietron
OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory. CoRR (2016)
Marcin Pietron, Aleksander Byrski, Marek Kisiel-Dorohinicki
GPGPU for Difficult Black-box Problems. ICCS (2015)
Dominik Zurek, Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms. Comput. Sci. 14 (4) (2013)
Marcin Pietron, Pawel Russek, Kazimierz Wiatr
Accelerating Select where and Select Join Queries on a GPU. Comput. Sci. 14 (2) (2013)
Marcin Pietron, Maciej Wielgosz, Dominik Zurek, Ernest Jamro, Kazimierz Wiatr
Comparison of GPU and FPGA Implementation of SVM Algorithm for Fast Image Segmentation. ARCS (2013)
Marcin Pietron, Pawel Russek, Kazimierz Wiatr
Loop profiling tool for HPC code inspection as an efficient method of FPGA based acceleration. Int. J. Appl. Math. Comput. Sci. 20 (3) (2010)