Tomasz Hachaj - RankMe

88 papers B 1C 4Misc 2Journal 41Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Current Challenges and Issues in Car Traffic Forecasting. IEEE Access Przemyslaw Bielecki, Tomasz Hachaj
2025	J	`jnl`	An insightful data-driven crowd simulation model based on rough sets. Inf. Sci. Tomasz Hachaj, Jaroslaw Was
2025	J	`jnl`	Detection of potentially anomalous cosmic particle tracks acquired with CMOS sensors: Validation of rough k-means clustering with PCA feature extraction. Int. J. Appl. Math. Comput. Sci. Tomasz Hachaj, Marcin Piekarczyk, Jaroslaw Was
2025	J	`jnl`	Rough neighborhood graph: A method for proximity modeling and data clustering. Appl. Soft Comput. Tomasz Hachaj, Jaroslaw Was
2025	J	`jnl`	Towards detection of anomalous cosmic ray signals for observations acquired from Cosmic Ray Extremely Distributed Observatory mobile detectors. Eng. Appl. Artif. Intell. Tomasz Hachaj, Lukasz Bibrzycki, Marcin Piekarczyk, Olaf Bar, Michal Niedzwiecki, Slawomir Stuglik, Piotr Homola, Dmitriy Beznosko, David E. Alvarez-Castillo, Bozena Poncyljusz, Ophir Ruimi, Oleksandr Sushchov, Krzysztof Rzecki
2025	C	`conf`	Unified Data-Driven Prediction of Photovoltaics Output from Weather and Geographic Data Across Diverse Systems. FedCSIS Joanna Wójcicka, Tomasz Hachaj
2024	—	`conf`	Machine Learning Approach for Detecting Potential Anomalous Cosmic Rays Particles Tracks in Earth-Scale Cosmic Ray Extremely Distributed Observatory. PPAM (3) Jan Tyc, Marcin Zub, Tomasz Hachaj
2024	J	`jnl`	On the Search for Potentially Anomalous Traces of Cosmic Ray Particles in Images Acquired by Cmos Detectors for a Continuous Stream of Emerging Observational Data. Sensors Marcin Piekarczyk, Tomasz Hachaj
2024	—	`conf`	What Is Inside Agent Brain: Application of Learning from Examples Using Rough Sets (LEM2) Rule Induction Algorithm to Explain Actions of Vision-Based Machine Learning Agents Trained with Proximal Policy Optimization. IJCRS (2) Tomasz Hachaj, Jaroslaw Was
2023	J	`jnl`	Adaptable 2D to 3D Stereo Vision Image Conversion Based on a Deep Convolutional Neural Network and Fast Inpaint Algorithm. Entropy Tomasz Hachaj
2023	J	`jnl`	Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers. IEEE Access Tomasz Hachaj, Lukasz Bibrzycki, Marcin Piekarczyk
2023	—	`conf`	Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived Embedding. IJCRS Tomasz Hachaj, Marcin Piekarczyk, Jaroslaw Was
2023	J	`jnl`	The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms. Sensors Tomasz Hachaj, Marcin Piekarczyk
2022	J	`jnl`	Potential Obstacle Detection Using RGB to Depth Image Encoder-Decoder Network: Application to Unmanned Aerial Vehicles. Sensors Tomasz Hachaj
2021	J	`jnl`	Deep Convolutional Symmetric Encoder - Decoder Neural Networks to Predict Students' Visual Attention. Symmetry Tomasz Hachaj, Anna Stolinska, Magdalena Andrzejewska, Piotr Czerski
2021	—	`conf`	Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras. ICONIP (5) Tomasz Hachaj, Marcin Piekarczyk, Lukasz Bibrzycki
2021	J	`jnl`	Eigenfaces-Based Steganography. Entropy Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela
2021	J	`jnl`	Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network. Sensors Tomasz Hachaj, Lukasz Bibrzycki, Marcin Piekarczyk
2021	J	`jnl`	SLAM-OR: Simultaneous Localization, Mapping and Object Recognition Using Video Sensors Data in Open Environments from the Sparse Points Cloud. Sensors Patryk Mazurek, Tomasz Hachaj
2021	J	`jnl`	TIPS: A Framework for Text Summarising with Illustrative Pictures. Entropy Justyna Golec, Tomasz Hachaj, Grzegorz Sokal
2020	J	`jnl`	A Method for Human Facial Image Annotation on Low Power Consumption Autonomous Devices. Sensors Tomasz Hachaj
2020	J	`jnl`	Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale "In The Wild" Face Verification. Symmetry Tomasz Hachaj, Patryk Mazurek
2020	J	`jnl`	Image Hashtag Recommendations Using a Voting Deep Neural Network and Associative Rules Mining Approach. Entropy Tomasz Hachaj, Justyna Miazga
2020	J	`jnl`	RMoCap: an R language package for processing and kinematic analyzing motion capture data. Multim. Syst. Tomasz Hachaj, Marek R. Ogiela
2019	—	`conf`	Computer System Prototype for Qualitative and Quantitative Evaluation of Selected Movement Activities. ICVARS Tomasz Hachaj, Marek R. Ogiela
2019	—	`conf`	Evaluation of Most Popular Sentiment Lexicons Coverage on Various Datasets. SSIP Justyna Miazga, Tomasz Hachaj
2019	J	`jnl`	Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor. Sensors Tomasz Hachaj, Marcin Piekarczyk
2019	—	`conf`	Head Motion - Based Robot's Controlling System Using Virtual Reality Glasses. IP&C Tomasz Hachaj
2019	—	`conf`	Head Motion Classification for Single-Accelerometer Virtual Reality Hardware. ICFSP Tomasz Hachaj, Marek R. Ogiela
2019	J	`jnl`	Improving Human Motion Classification by Applying Bagging and Symmetry to PCA-Based Features. Symmetry Tomasz Hachaj
2019	—	`conf`	Robustness of Haar Feature-Based Cascade Classifier for Face Detection Under Presence of Image Distortions. IP&C Patryk Mazurek, Tomasz Hachaj
2018	J	`jnl`	Averaging of motion capture recordings for movements' templates generation. Multim. Tools Appl. Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela
2018	—	`conf`	Classification of Karate Kicks with Hidden Markov Models Classifier and Angle-Based Features. CISP-BMEI Tomasz Hachaj, Marek R. Ogiela
2018	—	`conf`	How Repetitive are Karate Kicks Performed by Skilled Practitioners? ICCAE Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela
2018	J	`jnl`	Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods. Ann. Oper. Res. Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
2018	—	`conf`	Signal Processing Methods in Human Motion Path Analysis: A Use Case for Karate Kata. EECS Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela
2018	—	`conf`	Supporting Rehabilitation Process with Novel Motion Capture Analysis Method. EECS Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela
2018	—	`conf`	What Can Be Learned from Bigrams Analysis of Messages in Social Network? CISP-BMEI Tomasz Hachaj, Marek R. Ogiela
2017	—	`conf`	Advanced human motion analysis and visualization: Comparison of mawashi-geri kick of two elite karate athletes. SSCI Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk, Katarzyna Koptyra
2017	—	`conf`	Averaging Three-Dimensional Time-Varying Sequences of Rotations: Application to Preprocessing of Motion Capture Data. SCIA (1) Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk, Katarzyna Koptyra
2017	J	`jnl`	Clustering of trending topics in microblogging posts: A graph-based approach. Future Gener. Comput. Syst. Tomasz Hachaj, Marek R. Ogiela
2017	J	`jnl`	Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate Athletes. Sensors Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela
2017	—	`conf`	The open online repository of karate motion capture data: A tool for scientists and sport educators. SSCI Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk
2016	—	`conf`	A Novel Approach to Geocaching Event Prognosis Using Spatiotemporal Data. AINA Workshops Tomasz Hachaj, Pawel S. Hachaj, Marek R. Ogiela
2016	Misc	`conf`	Clusters of Trends Detection in Microblogging: Simple Natural Language Processing vs Hashtags - Which is More Informative? CISIS Tomasz Hachaj, Marek R. Ogiela
2016	—	`conf`	Creating Dynamically Changing World Map for Computer Games with Advanced Image Processing - A Use Case. INCoS Tomasz Hachaj
2016	C	`conf`	Data-driven approach to human motion modeling with Lua and gesture description language. ICMV Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela
2016	—	`conf`	How to Solve Common Human Actions Recognition Use Cases with Gesture Description Language. INCoS Tomasz Hachaj
2016	J	`jnl`	Human actions recognition on multimedia hardware using angle-based and coordinate-based features and multivariate continuous hidden Markov model classifier. Multim. Tools Appl. Tomasz Hachaj, Marek R. Ogiela
2016	C	`conf`	Initial proposition of kinematics model for selected karate actions analysis. ICMV Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela
2016	—	`conf`	Key Frames Detection in Motion Capture Recordings Using Machine Learning Approaches. IP&C Tomasz Hachaj
2016	—	`conf`	Rule-Based Action Recognition: Performance Comparison between Lua and GDL Script Language. IMIS Tomasz Hachaj, Marek R. Ogiela
2016	J	`jnl`	The adaptation of GDL motion recognition system to sport and rehabilitation techniques analysis. J. Medical Syst. Tomasz Hachaj, Marek R. Ogiela
2015	J	`jnl`	Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition. Symmetry Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
2015	—	`conf`	Application of Neural Network for Human Actions Recognition. ISICA Tomasz Hachaj, Marek R. Ogiela
2015	—	`conf`	Effectiveness Comparison of Kinect and Kinect 2 for Recognition of Oyama Karate Techniques. NBiS Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
2015	J	`jnl`	Full body movements recognition - unsupervised learning approach with heuristic R-GDL method. Digit. Signal Process. Tomasz Hachaj, Marek R. Ogiela
2015	—	`conf`	Human Actions Modelling and Recognition in Low-Dimensional Feature Space. BWCCA Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
2015	J	`jnl`	Knowledge Bricks - Educational immersive reality environment. Int. J. Inf. Manag. Tomasz Hachaj, Danuta Baraniewicz
2015	—	`conf`	Learning from Annotated Video: An Initial Study Based on Oyama Karate Tournament Recordings. 3PGCIC Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra
2015	—	`book`	Natural User Interfaces in Medical Image Analysis - Cognitive Analysis of Brain and Carotid Artery Images Marek R. Ogiela, Tomasz Hachaj
2015	—	`conf`	Qualitative Evaluation of Full Body Movements with Gesture Description Language. IMIS Tomasz Hachaj, Marek R. Ogiela
2014	J	`jnl`	Application of centerline detection and deformable contours algorithms to segmenting the carotid lumen. J. Electronic Imaging Tomasz Hachaj, Marek R. Ogiela
2014	J	`jnl`	Real time exploration and management of large medical volumetric datasets on small mobile devices - Evaluation of remote volume rendering approach. Int. J. Inf. Manag. Tomasz Hachaj
2014	—	`conf`	Recognition of Body Movements Patterns for Immersive Virtual Reality System Interface. 3PGCIC Tomasz Hachaj, Marek R. Ogiela
2014	J	`jnl`	Rule-based approach to recognizing human body poses and gestures in real time. Multim. Syst. Tomasz Hachaj, Marek R. Ogiela
2014	—	`conf`	Unsupervised Learning of GDL Classifier. IMIS Tomasz Hachaj, Marek R. Ogiela
2013	J	`jnl`	Application of neural networks in detection of abnormal brain perfusion regions. Neurocomputing Tomasz Hachaj, Marek R. Ogiela
2013	J	`jnl`	Automatic segmentation of the carotid artery bifurcation region with a region-growing approach. J. Electronic Imaging Marek R. Ogiela, Tomasz Hachaj
2013	—	`conf`	Computer Karate Trainer in Tasks of Personal and Homeland Security Defense. CD-ARES Workshops Tomasz Hachaj, Marek R. Ogiela
2013	C	`conf`	Dependence of Kinect sensors number and position on gestures recognition with Gesture Description Language semantic classifier. FedCSIS Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk
2013	—	`conf`	Real-Time Recognition of Selected Karate Techniques Using GDL Approach. IP&C Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk
2012	—	`conf`	Evaluation of Carotid Artery Segmentation with Centerline Detection and Active Contours without Edges Algorithm. CD-ARES Tomasz Hachaj, Marek R. Ogiela
2012	J	`jnl`	Framework for cognitive analysis of dynamic perfusion computed tomography with visualization of large volumetric data. J. Electronic Imaging Tomasz Hachaj, Marek R. Ogiela
2012	—	`conf`	Neural Network Approach for Identification of Selected Brain Perfusion Abnormalities. IMIS Tomasz Hachaj, Marek R. Ogiela
2012	—	`ch.`	Pattern Classification Methods for Analysis and Visualization of Brain Perfusion CT Maps. Computational Intelligence Paradigms in Advanced Pattern Classification Tomasz Hachaj
2012	—	`conf`	Segmentation and Visualization of Tubular Structures in Computed Tomography Angiography. ACIIDS (3) Tomasz Hachaj, Marek R. Ogiela
2012	—	`conf`	Semantic Description and Recognition of Human Body Poses and Movement Sequences with Gesture Description Language. FGIT-MulGraB/BSBT/IUrC Tomasz Hachaj, Marek R. Ogiela
2012	J	`jnl`	Visualization of perfusion abnormalities with GPU-based volume rendering. Comput. Graph. Tomasz Hachaj, Marek R. Ogiela
2011	J	`jnl`	A system for detecting and describing pathological changes using dynamic perfusion computer tomography brain maps. Comput. Biol. Medicine Tomasz Hachaj, Marek R. Ogiela
2011	B	`conf`	Augmented Reality Approaches in Intelligent Health Technologies and Brain Lesion Detection. ARES Tomasz Hachaj, Marek R. Ogiela
2011	—	`conf`	Computer-aided Intelligent Diagnostics of Dynamic Perfusion CT Maps. MUE Tomasz Hachaj, Marek R. Ogiela
2011	—	`conf`	Intelligent Information System for Interpretation of Dynamic Perfusion Brain Maps. ACIIDS (1) Tomasz Hachaj, Marek R. Ogiela
2010	Misc	`conf`	Artificial Intelligence Methods for Understanding Dynamic Computer Tomography Perfusion Maps. CISIS Tomasz Hachaj
2010	—	`conf`	Augmented Reality Interface for Visualization of Volumetric Medical Data. IP&C Tomasz Hachaj, Marek R. Ogiela
2010	J	`jnl`	Automatic Detection and Lesion Description in Cerebral Blood Flow and Cerebral Blood Volume Perfusion Maps. J. Signal Process. Syst. Tomasz Hachaj, Marek R. Ogiela
2008	J	`jnl`	An algorithm for detecting lesions in CBF and CBV perfusion maps. Bio Algorithms Med Syst. Tomasz Hachaj
2008	J	`jnl`	The registration and atlas construction of noisy brain computer tomography images based on free form deformation technique. Bio Algorithms Med Syst. Tomasz Hachaj