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Tomasz Hachaj
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2020 – today
- 2024
- [j36]Marcin Piekarczyk, Tomasz Hachaj:
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 24(6): 1835 (2024) - 2023
- [j35]Tomasz Hachaj, Lukasz Bibrzycki, Marcin Piekarczyk:
Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers. IEEE Access 11: 7410-7419 (2023) - [j34]Tomasz Hachaj:
Adaptable 2D to 3D Stereo Vision Image Conversion Based on a Deep Convolutional Neural Network and Fast Inpaint Algorithm. Entropy 25(8): 1212 (2023) - [j33]Tomasz Hachaj, Marcin Piekarczyk:
The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms. Sensors 23(10): 4858 (2023) - [c42]Tomasz Hachaj, Marcin Piekarczyk, Jaroslaw Was:
Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived Embedding. IJCRS 2023: 431-445 - 2022
- [j32]Tomasz Hachaj:
Potential Obstacle Detection Using RGB to Depth Image Encoder-Decoder Network: Application to Unmanned Aerial Vehicles. Sensors 22(17): 6703 (2022) - 2021
- [j31]Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela:
Eigenfaces-Based Steganography. Entropy 23(3): 273 (2021) - [j30]Justyna Golec, Tomasz Hachaj, Grzegorz Sokal:
TIPS: A Framework for Text Summarising with Illustrative Pictures. Entropy 23(12): 1614 (2021) - [j29]Tomasz Hachaj, Lukasz Bibrzycki, Marcin Piekarczyk:
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 21(6): 1963 (2021) - [j28]Patryk Mazurek, Tomasz Hachaj:
SLAM-OR: Simultaneous Localization, Mapping and Object Recognition Using Video Sensors Data in Open Environments from the Sparse Points Cloud. Sensors 21(14): 4734 (2021) - [j27]Tomasz Hachaj, Anna Stolinska, Magdalena Andrzejewska, Piotr Czerski:
Deep Convolutional Symmetric Encoder - Decoder Neural Networks to Predict Students' Visual Attention. Symmetry 13(12): 2246 (2021) - [c41]Tomasz Hachaj, Marcin Piekarczyk, Lukasz Bibrzycki:
Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras. ICONIP (5) 2021: 307-316 - 2020
- [j26]Tomasz Hachaj, Justyna Miazga:
Image Hashtag Recommendations Using a Voting Deep Neural Network and Associative Rules Mining Approach. Entropy 22(12): 1351 (2020) - [j25]Tomasz Hachaj, Marek R. Ogiela:
RMoCap: an R language package for processing and kinematic analyzing motion capture data. Multim. Syst. 26(2): 157-172 (2020) - [j24]Tomasz Hachaj:
A Method for Human Facial Image Annotation on Low Power Consumption Autonomous Devices. Sensors 20(7): 2140 (2020) - [j23]Tomasz Hachaj, Patryk Mazurek:
Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale "In The Wild" Face Verification. Symmetry 12(11): 1832 (2020) - [d1]Tomasz Hachaj:
Deep facial features calculated from CelebA dataset with identity (201804 objects, 128 features, 10021 identities). IEEE DataPort, 2020
2010 – 2019
- 2019
- [j22]Tomasz Hachaj, Marcin Piekarczyk:
Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor. Sensors 19(24): 5408 (2019) - [j21]Tomasz Hachaj:
Improving Human Motion Classification by Applying Bagging and Symmetry to PCA-Based Features. Symmetry 11(10): 1264 (2019) - [c40]Tomasz Hachaj, Marek R. Ogiela:
Head Motion Classification for Single-Accelerometer Virtual Reality Hardware. ICFSP 2019: 45-49 - [c39]Tomasz Hachaj, Marek R. Ogiela:
Computer System Prototype for Qualitative and Quantitative Evaluation of Selected Movement Activities. ICVARS 2019: 73-76 - [c38]Tomasz Hachaj:
Head Motion - Based Robot's Controlling System Using Virtual Reality Glasses. IP&C 2019: 6-13 - [c37]Patryk Mazurek, Tomasz Hachaj:
Robustness of Haar Feature-Based Cascade Classifier for Face Detection Under Presence of Image Distortions. IP&C 2019: 14-21 - [c36]Justyna Miazga, Tomasz Hachaj:
Evaluation of Most Popular Sentiment Lexicons Coverage on Various Datasets. SSIP 2019: 86-90 - 2018
- [j20]Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra:
Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods. Ann. Oper. Res. 265(2): 223-239 (2018) - [j19]Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela:
Averaging of motion capture recordings for movements' templates generation. Multim. Tools Appl. 77(23): 30353-30380 (2018) - [c35]Tomasz Hachaj, Marek R. Ogiela:
What Can Be Learned from Bigrams Analysis of Messages in Social Network? CISP-BMEI 2018: 1-4 - [c34]Tomasz Hachaj, Marek R. Ogiela:
Classification of Karate Kicks with Hidden Markov Models Classifier and Angle-Based Features. CISP-BMEI 2018: 1-5 - [c33]Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela:
Supporting Rehabilitation Process with Novel Motion Capture Analysis Method. EECS 2018: 128-133 - [c32]Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela:
Signal Processing Methods in Human Motion Path Analysis: A Use Case for Karate Kata. EECS 2018: 311-316 - [c31]Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela:
How Repetitive are Karate Kicks Performed by Skilled Practitioners? ICCAE 2018: 62-65 - 2017
- [j18]Tomasz Hachaj, Marek R. Ogiela:
Clustering of trending topics in microblogging posts: A graph-based approach. Future Gener. Comput. Syst. 67: 297-304 (2017) - [j17]Tomasz Hachaj, Marcin Piekarczyk, Marek R. Ogiela:
Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate Athletes. Sensors 17(11): 2590 (2017) - [c30]Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk, Katarzyna Koptyra:
Averaging Three-Dimensional Time-Varying Sequences of Rotations: Application to Preprocessing of Motion Capture Data. SCIA (1) 2017: 17-28 - [c29]Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk:
The open online repository of karate motion capture data: A tool for scientists and sport educators. SSCI 2017: 1-5 - [c28]Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk, Katarzyna Koptyra:
Advanced human motion analysis and visualization: Comparison of mawashi-geri kick of two elite karate athletes. SSCI 2017: 1-7 - 2016
- [j16]Tomasz Hachaj, Marek R. Ogiela:
The adaptation of GDL motion recognition system to sport and rehabilitation techniques analysis. J. Medical Syst. 40(6): 137:1-137:9 (2016) - [j15]Tomasz Hachaj, Marek R. Ogiela:
Human actions recognition on multimedia hardware using angle-based and coordinate-based features and multivariate continuous hidden Markov model classifier. Multim. Tools Appl. 75(23): 16265-16285 (2016) - [c27]Tomasz Hachaj, Pawel S. Hachaj, Marek R. Ogiela:
A Novel Approach to Geocaching Event Prognosis Using Spatiotemporal Data. AINA Workshops 2016: 31-34 - [c26]Tomasz Hachaj, Marek R. Ogiela:
Clusters of Trends Detection in Microblogging: Simple Natural Language Processing vs Hashtags - Which is More Informative? CISIS 2016: 119-121 - [c25]Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela:
Initial proposition of kinematics model for selected karate actions analysis. ICMV 2016: 103410N - [c24]Tomasz Hachaj, Katarzyna Koptyra, Marek R. Ogiela:
Data-driven approach to human motion modeling with Lua and gesture description language. ICMV 2016: 1034109 - [c23]Tomasz Hachaj, Marek R. Ogiela:
Rule-Based Action Recognition: Performance Comparison between Lua and GDL Script Language. IMIS 2016: 193-197 - [c22]Tomasz Hachaj:
Creating Dynamically Changing World Map for Computer Games with Advanced Image Processing - A Use Case. INCoS 2016: 155-160 - [c21]Tomasz Hachaj:
How to Solve Common Human Actions Recognition Use Cases with Gesture Description Language. INCoS 2016: 263-269 - [c20]Tomasz Hachaj:
Key Frames Detection in Motion Capture Recordings Using Machine Learning Approaches. IP&C 2016: 79-86 - 2015
- [b1]Marek R. Ogiela, Tomasz Hachaj:
Natural User Interfaces in Medical Image Analysis - Cognitive Analysis of Brain and Carotid Artery Images. Advances in Computer Vision and Pattern Recognition, Springer 2015, ISBN 978-3-319-07799-4, pp. 1-283 - [j14]Tomasz Hachaj, Marek R. Ogiela:
Full body movements recognition - unsupervised learning approach with heuristic R-GDL method. Digit. Signal Process. 46: 239-252 (2015) - [j13]Tomasz Hachaj, Danuta Baraniewicz:
Knowledge Bricks - Educational immersive reality environment. Int. J. Inf. Manag. 35(3): 396-406 (2015) - [j12]Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra:
Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition. Symmetry 7(4): 1670-1698 (2015) - [c19]Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra:
Learning from Annotated Video: An Initial Study Based on Oyama Karate Tournament Recordings. 3PGCIC 2015: 358-362 - [c18]Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra:
Human Actions Modelling and Recognition in Low-Dimensional Feature Space. BWCCA 2015: 247-254 - [c17]Tomasz Hachaj, Marek R. Ogiela:
Qualitative Evaluation of Full Body Movements with Gesture Description Language. IMIS 2015: 160-165 - [c16]Tomasz Hachaj, Marek R. Ogiela:
Application of Neural Network for Human Actions Recognition. ISICA 2015: 183-191 - [c15]Tomasz Hachaj, Marek R. Ogiela, Katarzyna Koptyra:
Effectiveness Comparison of Kinect and Kinect 2 for Recognition of Oyama Karate Techniques. NBiS 2015: 332-337 - 2014
- [j11]Tomasz Hachaj:
Real time exploration and management of large medical volumetric datasets on small mobile devices - Evaluation of remote volume rendering approach. Int. J. Inf. Manag. 34(3): 336-343 (2014) - [j10]Tomasz Hachaj, Marek R. Ogiela:
Application of centerline detection and deformable contours algorithms to segmenting the carotid lumen. J. Electronic Imaging 23(2): 023006 (2014) - [j9]Tomasz Hachaj, Marek R. Ogiela:
Rule-based approach to recognizing human body poses and gestures in real time. Multim. Syst. 20(1): 81-99 (2014) - [c14]Tomasz Hachaj, Marek R. Ogiela:
Recognition of Body Movements Patterns for Immersive Virtual Reality System Interface. 3PGCIC 2014: 290-294 - [c13]Tomasz Hachaj, Marek R. Ogiela:
Unsupervised Learning of GDL Classifier. IMIS 2014: 186-191 - 2013
- [j8]Tomasz Hachaj, Marek R. Ogiela:
Application of neural networks in detection of abnormal brain perfusion regions. Neurocomputing 122: 33-42 (2013) - [j7]Marek R. Ogiela, Tomasz Hachaj:
Automatic segmentation of the carotid artery bifurcation region with a region-growing approach. J. Electronic Imaging 22(3): 033029 (2013) - [c12]Tomasz Hachaj, Marek R. Ogiela:
Computer Karate Trainer in Tasks of Personal and Homeland Security Defense. CD-ARES Workshops 2013: 430-441 - [c11]Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk:
Dependence of Kinect sensors number and position on gestures recognition with Gesture Description Language semantic classifier. FedCSIS 2013: 571-575 - [c10]Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk:
Real-Time Recognition of Selected Karate Techniques Using GDL Approach. IP&C 2013: 99-106 - 2012
- [j6]Tomasz Hachaj, Marek R. Ogiela:
Visualization of perfusion abnormalities with GPU-based volume rendering. Comput. Graph. 36(3): 163-169 (2012) - [j5]Tomasz Hachaj, Marek R. Ogiela:
Framework for cognitive analysis of dynamic perfusion computed tomography with visualization of large volumetric data. J. Electronic Imaging 21(4): 043017 (2012) - [c9]Tomasz Hachaj, Marek R. Ogiela:
Evaluation of Carotid Artery Segmentation with Centerline Detection and Active Contours without Edges Algorithm. CD-ARES 2012: 468-478 - [c8]Tomasz Hachaj, Marek R. Ogiela:
Segmentation and Visualization of Tubular Structures in Computed Tomography Angiography. ACIIDS (3) 2012: 495-503 - [c7]Tomasz Hachaj, Marek R. Ogiela:
Semantic Description and Recognition of Human Body Poses and Movement Sequences with Gesture Description Language. FGIT-MulGraB/BSBT/IUrC 2012: 1-8 - [c6]Tomasz Hachaj, Marek R. Ogiela:
Neural Network Approach for Identification of Selected Brain Perfusion Abnormalities. IMIS 2012: 52-57 - [p1]Tomasz Hachaj:
Pattern Classification Methods for Analysis and Visualization of Brain Perfusion CT Maps. Computational Intelligence Paradigms in Advanced Pattern Classification 2012: 145-170 - 2011
- [j4]Tomasz Hachaj, Marek R. Ogiela:
A system for detecting and describing pathological changes using dynamic perfusion computer tomography brain maps. Comput. Biol. Medicine 41(6): 402-410 (2011) - [c5]Tomasz Hachaj, Marek R. Ogiela:
Augmented Reality Approaches in Intelligent Health Technologies and Brain Lesion Detection. ARES 2011: 135-148 - [c4]Tomasz Hachaj, Marek R. Ogiela:
Intelligent Information System for Interpretation of Dynamic Perfusion Brain Maps. ACIIDS (1) 2011: 406-415 - [c3]Tomasz Hachaj, Marek R. Ogiela:
Computer-aided Intelligent Diagnostics of Dynamic Perfusion CT Maps. MUE 2011: 283-288 - 2010
- [j3]Tomasz Hachaj, Marek R. Ogiela:
Automatic Detection and Lesion Description in Cerebral Blood Flow and Cerebral Blood Volume Perfusion Maps. J. Signal Process. Syst. 61(3): 317-328 (2010) - [c2]Tomasz Hachaj:
Artificial Intelligence Methods for Understanding Dynamic Computer Tomography Perfusion Maps. CISIS 2010: 866-871 - [c1]Tomasz Hachaj, Marek R. Ogiela:
Augmented Reality Interface for Visualization of Volumetric Medical Data. IP&C 2010: 271-277
2000 – 2009
- 2008
- [j2]Tomasz Hachaj:
An algorithm for detecting lesions in CBF and CBV perfusion maps. Bio Algorithms Med Syst. 4(7): 35-41 (2008) - [j1]Tomasz Hachaj:
The registration and atlas construction of noisy brain computer tomography images based on free form deformation technique. Bio Algorithms Med Syst. 4(7): 43-50 (2008)
Coauthor Index
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