Marcin Pietron

Rafal Olszowski

Jakub Gomulka

Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2024, 2024

AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction.

[BibT_eX]

[DOI]

Bartlomiej Sniezynski

J. Comput. Sci., March, 2023

Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting.

[BibT_eX]

[DOI]

CoRR, 2023

Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Using simulation to calibrate real data acquisition in veterinary medicine.

[BibT_eX]

[DOI]

CoRR, 2023

Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology.

[BibT_eX]

[DOI]

CoRR, 2023

Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis.

[BibT_eX]

[DOI]

CoRR, 2023

J-Parallelio - automatic parallelization framework for Java virtual machine code.

[BibT_eX]

[DOI]

CoRR, 2023

Transformed-*: A domain-incremental lifelong learning scenario generation framework.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Chosen Methods of Improving Small Object Recognition with Weak Recognizable Features.

[BibT_eX]

[DOI]

Magdalena Stachon

Proceedings of the Advances in Information and Communication, 2023

Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Magdalena Stachon

CoRR, 2022

Context based lemmatizer for Polish language.

[BibT_eX]

[DOI]

Michal Karwatowski

CoRR, 2022

A Deep Neural Network as a TABU Support in Solving LABS Problem.

[BibT_eX]

[DOI]

Kamil Pietak

Proceedings of the Computational Science - ICCS 2022, 2022

Canine age classification using Deep Learning as a step towards preventive medicine in animals.

[BibT_eX]

[DOI]

Sebastian Koryciak

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021

Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Kamil Faber

Entropy, 2021

Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction.

[BibT_eX]

[DOI]

CoRR, 2021

Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models.

[BibT_eX]

[DOI]

CoRR, 2021

Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection.

[BibT_eX]

[DOI]

Kamil Faber

CoRR, 2021

Ensemble neuroevolution based approach for multivariate time series anomaly detection.

[BibT_eX]

[DOI]

CoRR, 2021

Accelerating Deep Convolutional Neural on GPGPU.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing, 2021

New Variants of SDLS Algorithm for LABS Problem Dedicated to GPGPU Architectures.

[BibT_eX]

[DOI]

Kamil Pietak

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity.

[BibT_eX]

[DOI]

CoRR, 2020

Training with reduced precision of a support vector machine model for text classification.

[BibT_eX]

[DOI]

CoRR, 2020

Compression of Convolutional Neural Network for Natural Language Processing.

[BibT_eX]

[DOI]

Comput. Sci., 2020

Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Comput. Sci., 2019

Ensemble approach for natural language question answering problem.

[BibT_eX]

[DOI]

Anna Aniol

CoRR, 2019

Improvements of Monotonicity Approach to Solve Interval Parametric Linear Systems.

[BibT_eX]

[DOI]

Iwona Skalna

Milan Hladík

Proceedings of the Parallel Processing and Applied Mathematics, 2019

Fast Compression and Optimization of Deep Learning Models for Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019

Ensemble Approach for Natural Language Question Answering Problem.

[BibT_eX]

[DOI]

Anna Aniol

Aleksander Smywinski-Pohl

Jerzy Duda

Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019

2018

Method for Hybrid Precision Convolutional Neural Network Representation.

[BibT_eX]

[DOI]

CoRR, 2018

Convolutional neural network compression for natural language processing.

[BibT_eX]

[DOI]

CoRR, 2018

FPGA Implementation of Procedures for Video Quality Assessment.

[BibT_eX]

[DOI]

Comput. Sci., 2018

Improving Text Classification with Vectors of Reduced Precision.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Towards a Stable Quantized Convolutional Neural Networks: An Embedded Perspective.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Aleksander Byrski

J. Comput. Sci., 2017

Implementation of Digital Watermarking Algorithms in Parallel Hardware Accelerators.

[BibT_eX]

[DOI]

Andrzej Glowacz

Int. J. Parallel Program., 2017

Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity.

[BibT_eX]

[DOI]

Aleksander Smywinski-Pohl

Neurocomputing, 2017

Improving text classification with vectors of reduced precision.

[BibT_eX]

[DOI]

CoRR, 2017

Evaluation and Implementation of n-Gram-Based Algorithm for Fast Text Comparison.

[BibT_eX]

[DOI]

Comput. Informatics, 2017

Experiment on Methods for Clustering and Categorization of Polish Text.

[BibT_eX]

[DOI]

Ernest Jamro

Comput. Informatics, 2017

Toward hybrid platform for evolutionary computations of hard discrete problems.

[BibT_eX]

[DOI]

Kamil Pietak

Proceedings of the International Conference on Computational Science, 2017

2016

Noisy video classification with Spatial Pooler of Hierarchical Temporal Memory.

[BibT_eX]

[DOI]

CoRR, 2016

OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory.

[BibT_eX]

[DOI]

CoRR, 2016

Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2016

Comparison of SVM and Ontology-Based Text Classification Methods.

[BibT_eX]

[DOI]

Krzysztof Wróbel

Aleksander Smywinski-Pohl

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Parallel Implementation of Spatial Pooler in Hierarchical Temporal Memory.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

GPGPU for Difficult Black-box Problems.

[BibT_eX]

[DOI]

Aleksander Byrski

Proceedings of the International Conference on Computational Science, 2015

2014

Implementation of a System for Fast Text Search and Document Comparison.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Comput. Sci., 2013

Accelerating Select where and Select Join Queries on a GPU.

[BibT_eX]

[DOI]

Pawel Russek

Comput. Sci., 2013

Comparison of GPU and FPGA Implementation of SVM Algorithm for Fast Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pawel Russek