Maciej Wielgosz

80 papers B 1C 3Journal 55Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Analyzing Internal Activity and Robustness of SNNs Across Neuron Parameter Space. CoRR Szymon Mazurek, Jakub Caputa, Maciej Wielgosz
2025	J	`jnl`	Compression and Inference of Spiking Neural Networks on Resource-Constrained Hardware. CoRR Karol C. Jurzec, Tomasz Szydlo, Maciej Wielgosz
2025	J	`jnl`	DVS-PedX: Synthetic-and-Real Event-Based Pedestrian Dataset. CoRR Mustafa Sakhai, Kaung Sithu, Min Khant Soe Oke, Maciej Wielgosz
2025	—	`conf`	Fast Prediction of Job Execution Times in the ALICE Grid Through GPU-Based Inference with Quantization and Sparsity Techniques. ICCS (4) Tomasz Lelek, Szymon Mazurek, Maciej Wielgosz, Bartosz Balis
2025	J	`jnl`	ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds. CoRR Binbin Xiang, Maciej Wielgosz, Stefano Puliti, Kamil Král, Martin Krucek, Azim Missarov, Rasmus Astrup
2025	J	`jnl`	Minimizing Human Labeling in Training Deep Models for Pedestrian Intention Prediction. IEEE Trans. Intell. Transp. Syst. Muhammad Naveed Riaz, Maciej Wielgosz, Antonio M. López
2025	J	`jnl`	Modified U-Net with attention gate for enhanced automated brain tumor segmentation. Neural Comput. Appl. Shoffan Saifullah, Rafal Drezewski, Anton Yudhana, Maciej Wielgosz, Wahyu Caesarendra
2025	J	`jnl`	Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification. CoRR Maciej Wielgosz, Simon Berg, Heikki Korpunen, Stephan Hoffmann
2025	J	`jnl`	Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective. CoRR Szymon Mazurek, Jakub Caputa, Jan K. Argasinski, Maciej Wielgosz
2025	J	`jnl`	Three-factor learning in spiking neural networks: An overview of methods and trends from a machine learning perspective. Patterns Szymon Mazurek, Jakub Caputa, Jan K. Argasinski, Maciej Wielgosz
2024	J	`jnl`	How Does Super-Resolution for Satellite Imagery Affect Different Types of Land Cover? Sentinel-2 Case. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Anna Malczewska, Maciej Wielgosz
2024	J	`jnl`	Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors. CoRR Mustafa Sakhai, Szymon Mazurek, Jakub Caputa, Jan K. Argasinski, Maciej Wielgosz
2024	J	`jnl`	SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data. CoRR Maciej Wielgosz, Stefano Puliti, Binbin Xiang, Konrad Schindler, Rasmus Astrup
2024	J	`jnl`	Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction. CoRR Muhammad Naveed Riaz, Maciej Wielgosz, Abel Garcia Romera, Antonio M. López
2023	J	`jnl`	Assessing Dataset Quality Through Decision Tree Characteristics in Autoencoder-Processed Spaces. CoRR Szymon Mazurek, Maciej Wielgosz
2023	J	`jnl`	Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning. CoRR Binbin Xiang, Maciej Wielgosz, Theodora Kontogianni, Torben Peters, Stefano Puliti, Rasmus Astrup, Konrad Schindler
2023	J	`jnl`	CARLA-BSP: a simulated dataset with pedestrians. CoRR Maciej Wielgosz, Antonio M. López, Muhammad Naveed Riaz
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`	FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees. CoRR Stefano Puliti, Grant D. Pearse, Peter Surový, Luke Wallace, Markus Hollaus, Maciej Wielgosz, Rasmus Astrup
2023	J	`jnl`	Point2Tree(P2T) - Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest. Remote. Sens. Maciej Wielgosz, Stefano Puliti, Phil Wilkes, Rasmus Astrup
2023	J	`jnl`	Point2Tree(P2T) - framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest. CoRR Maciej Wielgosz, Stefano Puliti, Phil Wilkes, Rasmus Astrup
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	—	`conf`	Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction. ITSC Muhammad Naveed Riaz, Maciej Wielgosz, Abel Garcia Romera, Antonio M. López
2023	—	`conf`	Towards End-to-End Escape in Urban Autonomous Driving Using Reinforcement Learning. IntelliSys (2) Mustafa Sakhai, Maciej Wielgosz
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	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	—	`conf`	Towards End-to-End Chase in Urban Autonomous Driving Using Reinforcement Learning. IntelliSys (3) Michal Kolomanski, Mustafa Sakhai, Jakub Nowak, Maciej Wielgosz
2021	J	`jnl`	Modern Cybersecurity Solution using Supervised Machine Learning. CoRR Mustafa Sakhai, Maciej Wielgosz
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
2019	J	`jnl`	Falls Prediction in eldery people using Gated Recurrent Units. CoRR Marcin Radzio, Maciej Wielgosz, Matej Mertik
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	J	`jnl`	Mapping Neural Networks to FPGA-Based IoT Devices for Ultra-Low Latency Processing. Sensors Maciej Wielgosz, Michal Karwatowski
2019	J	`jnl`	Predictive Maintenance of Induction Motors Using Ultra-Low Power Wireless Sensors and Compressed Recurrent Neural Networks. IEEE Access Michal Markiewicz, Maciej Wielgosz, Mikollaj Bochenski, Waldemar Tabaczynski, Tomasz Konieczny, Liliana Kowalczyk
2019	J	`jnl`	Using Neural Networks with data Quantization for time Series Analysis in LHC Superconducting Magnets. Int. J. Appl. Math. Comput. Sci. Maciej Wielgosz, Andrzej Skoczen
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`	Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor. Sensors Maciej Wielgosz, Andrzej Skoczen, Ernesto De Matteis
2018	J	`jnl`	The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization. Eng. Appl. Artif. Intell. Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, Ernesto De Matteis
2017	J	`jnl`	A Conceptual Framework for Supporting a Rapid Design of Web Applications for Data Analysis of Electrical Quality Assurance Data for the LHC. CoRR Matej Mertik, Maciej Wielgosz
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`	Improving text classification with vectors of reduced precision. CoRR Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Aleksander Smywinski-Pohl
2017	J	`jnl`	Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets. CoRR Maciej Wielgosz, Andrzej Skoczen, Matej Mertik
2017	—	`conf`	Semantic search extension based on polish wordnet relations in business document exploration. IML Piotr Potiopa, Michal Karwatowski, Jerzy Duda, Pawel Sasor, Maciej Wielgosz, Bartlomiej Muzykiewicz
2017	J	`jnl`	The prototype of the HL-LHC magnets monitoring system based on Recurrent Neural Networks and adaptive quantization. CoRR Maciej Wielgosz, Matej Mertik, Andrzej Skoczen
2017	J	`jnl`	Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity. Neurocomputing Maciej Wielgosz, Marcin Pietron
2016	J	`jnl`	A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework. CoRR Matej Mertik, Maciej Wielgosz, Andrzej Skoczen
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	J	`jnl`	The observer-assisted method for adjusting hyper-parameters in deep learning algorithms. CoRR Maciej Wielgosz
2016	J	`jnl`	Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets. CoRR Maciej Wielgosz, Andrzej Skoczen, Matej Mertik
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	—	`conf`	Energy Efficient Calculations of Text Similarity Measure on FPGA-Accelerated Computing Platforms. PPAM (1) Michal Karwatowski, Pawel Russek, Maciej Wielgosz, Sebastian Koryciak, Kazimierz Wiatr
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`	An FPGA-Based Platform for a Network Architecture with Delay Guarantee. J. Circuits Syst. Comput. Maciej Wielgosz, Mauritz Panggabean, Jiang Wang, Leif Arne Rønningen
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
2012	—	`ch.`	FPGA Implementation of the Selected Parts of the Fast Image Segmentation. Intelligent Tools for Building a Scientific Information Platform Maciej Wielgosz, Ernest Jamro, Dominik Zurek, Kazimierz Wiatr
2012	—	`conf`	FPGA-Based Platform for Real-Time Internet. EST Maciej Wielgosz, Mauritz Panggabean, Ameen Chilwan, Leif Arne Rønningen
2011	J	`jnl`	The implementation of the customized, parallel architecture for a fast word-match program. Comput. Syst. Sci. Eng. Ernest Jamro, Pawel Russek, Agnieszka Dabrowska-Boruch, Maciej Wielgosz, Kazimierz Wiatr
2010	J	`jnl`	Analysis of the Basic Implementation Aspects of Hardware-Accelerated Density Functional Theory Calculations. Comput. Informatics Maciej Wielgosz, Grzegorz Mazur, Marcin Makowski, Ernest Jamro, Kazimierz Wiatr
2010	—	`conf`	Hardware Implementation of the Orbital Function for Quantum Chemistry Calculations. ARC Maciej Wielgosz, Ernest Jamro, Pawel Russek, Kazimierz Wiatr
2009	—	`conf`	Accelerating Calculations on the RASC Platform: A Case Study of the Exponential Function. ARC Maciej Wielgosz, Ernest Jamro, Kazimierz Wiatr
2009	—	`conf`	Hardware Implementation of the Exponent Based Computational Core for an Exchange-Correlation Potential Matrix Generation. PPAM (1) Maciej Wielgosz, Ernest Jamro, Kazimierz Wiatr
2009	J	`jnl`	Highly Efficient Twin Module Structure of 64-Bit Exponential Function Implemented on SGI RASC Platform. Comput. Informatics Maciej Wielgosz, Ernest Jamro, Kazimierz Wiatr
2008	J	`jnl`	Computation Acceleration on SGI RASC: FPGA Based Reconfigurable Computing Hardware. Comput. Sci. Ernest Jamro, Marcin Janiszewski, Krzysztof Machaczek, Pawel Russek, Kazimierz Wiatr, Maciej Wielgosz
2008	—	`conf`	Highly efficient structure of 64-bit exponential function implemented in FPGAs. ARC Maciej Wielgosz, Ernest Jamro, Kazimierz Wiatr
2007	B	`conf`	FPGA Implementation of 64-bit Exponential Function for HPC. FPL Ernest Jamro, Kazimierz Wiatr, Maciej Wielgosz
2007	C	`conf`	FPGA Implementation of Strongly Parallel Histogram Equalization. DDECS Ernest Jamro, Maciej Wielgosz, Kazimierz Wiatr