Marcin Pietron
Orcid: 0000-0001-9357-9231
According to our database1,
Marcin Pietron
authored at least 61 papers
between 2010 and 2024.
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Bibliography
2024
Efficient argument classification with compact language models and ChatGPT-4 refinements.
CoRR, 2024
CoRR, 2024
2023
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction.
J. Comput. Sci., March, 2023
Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting.
CoRR, 2023
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification.
CoRR, 2023
CoRR, 2023
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology.
CoRR, 2023
Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning.
CoRR, 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection.
CoRR, 2023
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Chosen Methods of Improving Small Object Recognition with Weak Recognizable Features.
Proceedings of the Advances in Information and Communication, 2023
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Chosen methods of improving object recognition of small objects with weak recognizable features.
CoRR, 2022
Proceedings of the Computational Science - ICCS 2022, 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
Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection.
Entropy, 2021
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction.
CoRR, 2021
Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models.
CoRR, 2021
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection.
CoRR, 2021
Ensemble neuroevolution based approach for multivariate time series anomaly detection.
CoRR, 2021
Proceedings of the Intelligent Computing, 2021
Proceedings of the Computational Science - ICCS 2021, 2021
2020
Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification.
Neural Process. Lett., 2020
When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity.
CoRR, 2020
Training with reduced precision of a support vector machine model for text classification.
CoRR, 2020
Comput. Sci., 2020
Proceedings of the Computational Science - ICCS 2020, 2020
2019
Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment.
J. Comput. Sci., 2019
Proceedings of the Parallel Processing and Applied Mathematics, 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
Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019
2018
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018
2017
Leveraging heterogeneous parallel platform in solving hard discrete optimization problems with metaheuristics.
J. Comput. Sci., 2017
Int. J. Parallel Program., 2017
Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity.
Neurocomputing, 2017
Comput. Informatics, 2017
Comput. Informatics, 2017
Proceedings of the International Conference on Computational Science, 2017
2016
CoRR, 2016
OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory.
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
Proceedings of the International Conference on Computational Science, 2015
2014
Proceedings of the Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation, 2014
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
2010
Loop profiling tool for HPC code inspection as an efficient method of FPGA based acceleration.
Int. J. Appl. Math. Comput. Sci., 2010