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Journal Articles
- 2024
[j19]Anna Malczewska
, Maciej Wielgosz:
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. 17: 340-363 (2024)- 2023
- [j18]Maciej Wielgosz, Stefano Puliti, Phil Wilkes, Rasmus Astrup:
Point2Tree(P2T) - Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest. Remote. Sens. 15(15): 3737 (2023) - 2020
- [j17]Krzysztof Wróbel, Michal Karwatowski, Maciej Wielgosz, Marcin Pietron, Kazimierz Wiatr:
Compression of Convolutional Neural Network for Natural Language Processing. Comput. Sci. 21(1) (2020) - [j16]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): 105-127 (2020) - 2019
- [j15]Michal Markiewicz, Maciej Wielgosz, Mikollaj Bochenski, Waldemar Tabaczynski, Tomasz Konieczny, Liliana Kowalczyk:
Predictive Maintenance of Induction Motors Using Ultra-Low Power Wireless Sensors and Compressed Recurrent Neural Networks. IEEE Access 7: 178891-178902 (2019) - [j14]Maciej Wielgosz, Andrzej Skoczen:
Using Neural Networks with data Quantization for time Series Analysis in LHC Superconducting Magnets. Int. J. Appl. Math. Comput. Sci. 29(3): 503-515 (2019) - [j13]Maciej Wielgosz, Michal Karwatowski:
Mapping Neural Networks to FPGA-Based IoT Devices for Ultra-Low Latency Processing. Sensors 19(13): 2981 (2019) - 2018
- [j12]Maciej Wielgosz, Michal Karwatowski, Marcin Pietron, Kazimierz Wiatr:
FPGA Implementation of Procedures for Video Quality Assessment. Comput. Sci. 19(3) (2018) - [j11]Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, Ernesto De Matteis:
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization. Eng. Appl. Artif. Intell. 74: 166-185 (2018) - [j10]Maciej Wielgosz, Andrzej Skoczen, Ernesto De Matteis:
Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor. Sensors 18(11): 3933 (2018) - 2017
- [j9]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): 186-204 (2017) - [j8]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): 887-907 (2017) - [j7]Maciej Wielgosz, Marcin Pietron:
Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity. Neurocomputing 240: 84-97 (2017) - 2013
- [j6]Dominik Zurek, Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr:
Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms. Comput. Sci. 14(4): 679-691 (2013) - [j5]Maciej Wielgosz, Mauritz Panggabean, Jiang Wang, Leif Arne Rønningen:
An FPGA-Based Platform for a Network Architecture with Delay Guarantee. J. Circuits Syst. Comput. 22(6) (2013) - 2011
- [j4]Ernest Jamro, Pawel Russek, Agnieszka Dabrowska-Boruch, Maciej Wielgosz, Kazimierz Wiatr:
The implementation of the customized, parallel architecture for a fast word-match program. Comput. Syst. Sci. Eng. 26(4) (2011) - 2010
- [j3]Maciej Wielgosz, Grzegorz Mazur, Marcin Makowski, Ernest Jamro, Kazimierz Wiatr:
Analysis of the Basic Implementation Aspects of Hardware-Accelerated Density Functional Theory Calculations. Comput. Informatics 29(6): 989-1000 (2010) - 2009
- [j2]Maciej Wielgosz, Ernest Jamro, Kazimierz Wiatr:
Highly Efficient Twin Module Structure of 64-Bit Exponential Function Implemented on SGI RASC Platform. Comput. Informatics 28(1): 127-137 (2009) - 2008
- [j1]Ernest Jamro, Marcin Janiszewski, Krzysztof Machaczek, Pawel Russek, Kazimierz Wiatr, Maciej Wielgosz:
Computation Acceleration on SGI RASC: FPGA Based Reconfigurable Computing Hardware. Comput. Sci. 9: 21-34 (2008)
Conference and Workshop Papers
- 2023
- [c22]Mustafa Sakhai, Maciej Wielgosz:
Towards End-to-End Escape in Urban Autonomous Driving Using Reinforcement Learning. IntelliSys (2) 2023: 21-40 - [c21]Muhammad Naveed Riaz, Maciej Wielgosz, Abel Garcia Romera, Antonio M. López:
Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction. ITSC 2023: 2742-2749 - 2022
- [c20]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: 169-172 - [c19]Michal Kolomanski, Mustafa Sakhai, Jakub Nowak, Maciej Wielgosz:
Towards End-to-End Chase in Urban Autonomous Driving Using Reinforcement Learning. IntelliSys (3) 2022: 408-426 - 2020
- [c18]Marcin Pietron, Maciej Wielgosz:
Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks. ICCS (3) 2020: 452-463 - 2019
- [c17]Marcin Pietron, Michal Karwatowski, Maciej Wielgosz, Jerzy Duda:
Fast Compression and Optimization of Deep Learning Models for Natural Language Processing. CANDAR Workshops 2019: 162-168 - 2018
- [c16]Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Jerzy Duda, Aleksander Smywinski-Pohl:
Improving Text Classification with Vectors of Reduced Precision. ICAART (2) 2018: 531-538 - 2017
- [c15]Piotr Potiopa, Michal Karwatowski, Jerzy Duda, Pawel Sasor, Maciej Wielgosz, Bartlomiej Muzykiewicz:
Semantic search extension based on polish wordnet relations in business document exploration. IML 2017: 34:1-34:7 - 2016
- [c14]Maciej Wielgosz, Marcin Pietron, Kazimierz Wiatr:
Using Spatial Pooler of Hierarchical Temporal Memory for object classification in noisy video streams. FedCSIS 2016: 271-274 - [c13]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: 315-322 - [c12]Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr:
Parallel Implementation of Spatial Pooler in Hierarchical Temporal Memory. ICAART (2) 2016: 346-353 - [c11]Krzysztof Wróbel, Maciej Wielgosz, Aleksander Smywinski-Pohl, Marcin Pietron:
Comparison of SVM and Ontology-Based Text Classification Methods. ICAISC (1) 2016: 667-680 - [c10]Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr:
Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions. IJCRS 2016: 396-405 - 2015
- [c9]Michal Karwatowski, Pawel Russek, Maciej Wielgosz, Sebastian Koryciak, Kazimierz Wiatr:
Energy Efficient Calculations of Text Similarity Measure on FPGA-Accelerated Computing Platforms. PPAM (1) 2015: 31-40 - 2013
- [c8]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: 292-302 - 2012
- [c7]Maciej Wielgosz, Mauritz Panggabean, Ameen Chilwan, Leif Arne Rønningen:
FPGA-Based Platform for Real-Time Internet. EST 2012: 131-134 - 2010
- [c6]Maciej Wielgosz, Ernest Jamro, Pawel Russek, Kazimierz Wiatr:
Hardware Implementation of the Orbital Function for Quantum Chemistry Calculations. ARC 2010: 337-342 - 2009
- [c5]Maciej Wielgosz, Ernest Jamro, Kazimierz Wiatr:
Accelerating Calculations on the RASC Platform: A Case Study of the Exponential Function. ARC 2009: 306-311 - [c4]Maciej Wielgosz, Ernest Jamro, Kazimierz Wiatr:
Hardware Implementation of the Exponent Based Computational Core for an Exchange-Correlation Potential Matrix Generation. PPAM (1) 2009: 115-124 - 2008
- [c3]Maciej Wielgosz, Ernest Jamro, Kazimierz Wiatr:
Highly efficient structure of 64-bit exponential function implemented in FPGAs. ARC 2008: 272-277 - 2007
- [c2]Ernest Jamro, Maciej Wielgosz, Kazimierz Wiatr:
FPGA Implementation of Strongly Parallel Histogram Equalization. DDECS 2007: 93-98 - [c1]Ernest Jamro, Kazimierz Wiatr, Maciej Wielgosz:
FPGA Implementation of 64-bit Exponential Function for HPC. FPL 2007: 718-721
Parts in Books or Collections
- 2014
- [p2]Maciej Wielgosz, Marcin Janiszewski, Pawel Russek, Marcin Pietron, Ernest Jamro, Kazimierz Wiatr:
Implementation of a System for Fast Text Search and Document Comparison. Intelligent Tools for Building a Scientific Information Platform 2014: 173-186 - 2012
- [p1]Maciej Wielgosz, Ernest Jamro, Dominik Zurek, Kazimierz Wiatr:
FPGA Implementation of the Selected Parts of the Fast Image Segmentation. Intelligent Tools for Building a Scientific Information Platform 2012: 203-216
Informal and Other Publications
- 2024
- [i27]Muhammad Naveed Riaz, Maciej Wielgosz, Abel Garcia Romera, Antonio M. López:
Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction. CoRR abs/2401.06757 (2024) - [i26]Maciej Wielgosz, Stefano Puliti, Binbin Xiang, Konrad Schindler, Rasmus Astrup:
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data. CoRR abs/2401.15739 (2024) - [i25]Mustafa Sakhai, Szymon Mazurek, Jakub Caputa, Jan K. Argasinski, Maciej Wielgosz:
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors. CoRR abs/2406.00473 (2024) - 2023
- [i24]Maciej Wielgosz, Antonio M. López, Muhammad Naveed Riaz:
CARLA-BSP: a simulated dataset with pedestrians. CoRR abs/2305.00204 (2023) - [i23]Maciej Wielgosz, Stefano Puliti, Phil Wilkes, Rasmus Astrup:
Point2Tree(P2T) - framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest. CoRR abs/2305.02651 (2023) - [i22]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 abs/2305.04332 (2023) - [i21]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 abs/2306.11848 (2023) - [i20]Szymon Mazurek, Maciej Wielgosz:
Assessing Dataset Quality Through Decision Tree Characteristics in Autoencoder-Processed Spaces. CoRR abs/2306.15392 (2023) - [i19]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 abs/2307.11695 (2023) - [i18]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 abs/2308.06055 (2023) - [i17]Stefano Puliti, Grant D. Pearse, Peter Surový, Luke Wallace, Markus Hollaus, Maciej Wielgosz, Rasmus Astrup:
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees. CoRR abs/2309.01279 (2023) - [i16]Binbin Xiang, Maciej Wielgosz, Theodora Kontogianni, Torben Peters, Stefano Puliti, Rasmus Astrup, Konrad Schindler:
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning. CoRR abs/2312.15084 (2023) - 2021
- [i15]Mustafa Sakhai, Maciej Wielgosz:
Modern Cybersecurity Solution using Supervised Machine Learning. CoRR abs/2109.07593 (2021) - 2020
- [i14]Marcin Pietron, Maciej Wielgosz:
Retrain or not retrain? - efficient pruning methods of deep CNN networks. CoRR abs/2002.07051 (2020) - 2019
- [i13]Marcin Radzio, Maciej Wielgosz, Matej Mertik:
Falls Prediction in eldery people using Gated Recurrent Units. CoRR abs/1908.01050 (2019) - 2018
- [i12]Krzysztof Wróbel, Marcin Pietron, Maciej Wielgosz, Michal Karwatowski, Kazimierz Wiatr:
Convolutional neural network compression for natural language processing. CoRR abs/1805.10796 (2018) - 2017
- [i11]Maciej Wielgosz, Andrzej Skoczen, Matej Mertik:
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets. CoRR abs/1702.00833 (2017) - [i10]Matej Mertik, Maciej Wielgosz:
A Conceptual Framework for Supporting a Rapid Design of Web Applications for Data Analysis of Electrical Quality Assurance Data for the LHC. CoRR abs/1702.01270 (2017) - [i9]Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Aleksander Smywinski-Pohl:
Improving text classification with vectors of reduced precision. CoRR abs/1706.06363 (2017) - [i8]Maciej Wielgosz, Matej Mertik, Andrzej Skoczen:
The prototype of the HL-LHC magnets monitoring system based on Recurrent Neural Networks and adaptive quantization. CoRR abs/1709.09883 (2017) - 2016
- [i7]Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr:
Formal analysis of HTM Spatial Pooler performance under predefined operation conditions. CoRR abs/1607.00791 (2016) - [i6]Maciej Wielgosz, Marcin Pietron:
OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory. CoRR abs/1608.01966 (2016) - [i5]Maciej Wielgosz, Marcin Pietron:
Noisy video classification with Spatial Pooler of Hierarchical Temporal Memory. CoRR abs/1609.03093 (2016) - [i4]Maciej Wielgosz, Michal Karwatowski, Marcin Pietron, Kazimierz Wiatr:
FPGA implementation of the procedures for video quality assessment. CoRR abs/1609.06109 (2016) - [i3]Matej Mertik, Maciej Wielgosz, Andrzej Skoczen:
A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework. CoRR abs/1610.09201 (2016) - [i2]Maciej Wielgosz, Andrzej Skoczen, Matej Mertik:
Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets. CoRR abs/1611.06241 (2016) - [i1]Maciej Wielgosz:
The observer-assisted method for adjusting hyper-parameters in deep learning algorithms. CoRR abs/1611.10328 (2016)
Coauthor Index
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last updated on 2024-10-25 21:14 CEST by the dblp team
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