Maciej Wielgosz
Orcid: 0000-0002-4401-2957
According to our database1,
Maciej Wielgosz
authored at least 64 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
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., 2024
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors.
CoRR, 2024
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data.
CoRR, 2024
2023
Point2Tree(P2T) - Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest.
Remote. Sens., August, 2023
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning.
CoRR, 2023
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees.
CoRR, 2023
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification.
CoRR, 2023
CoRR, 2023
Assessing Dataset Quality Through Decision Tree Characteristics in Autoencoder-Processed Spaces.
CoRR, 2023
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology.
CoRR, 2023
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis.
CoRR, 2023
Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Proceedings of the Intelligent Systems and Applications, 2022
Canine age classification using Deep Learning as a step towards preventive medicine in animals.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022
2021
2020
Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification.
Neural Process. Lett., 2020
Comput. Sci., 2020
Proceedings of the Computational Science - ICCS 2020, 2020
2019
Sensors, 2019
Using Neural Networks with data Quantization for time Series Analysis in LHC Superconducting Magnets.
Int. J. Appl. Math. Comput. Sci., 2019
Predictive Maintenance of Induction Motors Using Ultra-Low Power Wireless Sensors and Compressed Recurrent Neural Networks.
IEEE Access, 2019
Fast Compression and Optimization of Deep Learning Models for Natural Language Processing.
Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019
2018
Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor.
Sensors, 2018
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization.
Eng. Appl. Artif. Intell., 2018
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018
2017
Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity.
Neurocomputing, 2017
The prototype of the HL-LHC magnets monitoring system based on Recurrent Neural Networks and adaptive quantization.
CoRR, 2017
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets.
CoRR, 2017
A Conceptual Framework for Supporting a Rapid Design of Web Applications for Data Analysis of Electrical Quality Assurance Data for the LHC.
CoRR, 2017
Comput. Informatics, 2017
Comput. Informatics, 2017
Semantic search extension based on polish wordnet relations in business document exploration.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017
2016
Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets.
CoRR, 2016
CoRR, 2016
OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory.
CoRR, 2016
The observer-assisted method for adjusting hyper-parameters in deep learning algorithms.
CoRR, 2016
CoRR, 2016
Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions.
Proceedings of the Rough Sets - International Joint Conference, 2016
Proceedings of the Artificial Intelligence and Soft Computing, 2016
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016
Study of the Parallel Techniques for Dimensionality Reduction and Its Impact on Performance of the Text Processing Algorithms.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016
Using Spatial Pooler of Hierarchical Temporal Memory for object classification in noisy video streams.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016
2015
Energy Efficient Calculations of Text Similarity Measure on FPGA-Accelerated Computing Platforms.
Proceedings of the Parallel Processing and Applied Mathematics, 2015
2014
Proceedings of the Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation, 2014
2013
J. Circuits Syst. Comput., 2013
Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms.
Comput. Sci., 2013
Comparison of GPU and FPGA Implementation of SVM Algorithm for Fast Image Segmentation.
Proceedings of the Architecture of Computing Systems - ARCS 2013, 2013
2012
Proceedings of the Intelligent Tools for Building a Scientific Information Platform, 2012
Proceedings of the 2012 Third International Conference on Emerging Security Technologies, 2012
2011
The implementation of the customized, parallel architecture for a fast word-match program.
Comput. Syst. Sci. Eng., 2011
2010
Analysis of the Basic Implementation Aspects of Hardware-Accelerated Density Functional Theory Calculations.
Comput. Informatics, 2010
Proceedings of the Reconfigurable Computing: Architectures, 2010
2009
Highly Efficient Twin Module Structure of 64-Bit Exponential Function Implemented on SGI RASC Platform.
Comput. Informatics, 2009
Hardware Implementation of the Exponent Based Computational Core for an Exchange-Correlation Potential Matrix Generation.
Proceedings of the Parallel Processing and Applied Mathematics, 2009
Accelerating Calculations on the RASC Platform: A Case Study of the Exponential Function.
Proceedings of the Reconfigurable Computing: Architectures, 2009
2008
Comput. Sci., 2008
Proceedings of the Reconfigurable Computing: Architectures, 2008
2007
Proceedings of the FPL 2007, 2007
Proceedings of the 10th IEEE Workshop on Design & Diagnostics of Electronic Circuits & Systems (DDECS 2007), 2007