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2020 – today
- 2024
[j50]Maciej Blaszke
, Grazina Korvel, Bozena Kostek:
Exploring Neural Networks for Musical Instrument Identification in Polyphonic Audio. IEEE Intell. Syst. 39(5): 25-36 (2024)- [j49]Dawid Weber, Bozena Kostek:
Bimodal deep learning model for subjectively enhanced emotion classification in films. Inf. Sci. 678: 121049 (2024) - [j48]Paolo Bordoni, Piotr Odya, Józef Kotus, Bozena Kostek:
Sounding Mechanism of a Flue Organ Pipe - A Multi-Sensor Measurement Approach. Sensors 24(6): 1962 (2024) - 2023
- [j47]Aleksandra Wedolowska, Dawid Weber, Bozena Kostek:
Predicting Emotion From Color Present in Images and Video Excerpts by Machine Learning. IEEE Access 11: 66357-66373 (2023) - [j46]Grazina Korvel, Povilas Treigys, Krzysztof Kakol, Bozena Kostek:
Investigation of the Lombard effect based on a machine learning approach. Int. J. Appl. Math. Comput. Sci. 33(3) (2023) - [j45]Damian Koszewski, Thomas Görne, Grazina Korvel, Bozena Kostek:
Automatic music signal mixing system based on one-dimensional Wave-U-Net autoencoders. EURASIP J. Audio Speech Music. Process. 2023(1): 1 (2023) - [j44]Krzysztof Kakol, Grazina Korvel, Gintautas Tamulevicius, Bozena Kostek:
Detecting Lombard Speech Using Deep Learning Approach. Sensors 23(1): 315 (2023) - [c80]Adriana Zejmo, Maciej Gielert, Marcin Grabski, Bozena Kostek:
Assessing the attractiveness of human face based on machine learning. KES 2023: 1019-1027 - 2022
- [j43]Piotr Szczuko, Adam Kurowski, Piotr Odya, Andrzej Czyzewski, Bozena Kostek, Beata Graff, Krzysztof Narkiewicz:
Mining Knowledge of Respiratory Rate Quantification and Abnormal Pattern Prediction. Cogn. Comput. 14(6): 2120-2140 (2022) - [j42]Adam Kurowski, Jozef Kotus, Piotr Odya, Bozena Kostek:
A Novel Method for Intelligibility Assessment of Nonlinearly Processed Speech in Spaces Characterized by Long Reverberation Times. Sensors 22(4): 1641 (2022) - [j41]Maciej Blaszke, Bozena Kostek:
Musical Instrument Identification Using Deep Learning Approach. Sensors 22(8): 3033 (2022) - [j40]Daniel Korzekwa, Jaime Lorenzo-Trueba, Thomas Drugman, Bozena Kostek:
Computer-assisted pronunciation training - Speech synthesis is almost all you need. Speech Commun. 142: 22-33 (2022) - [c79]Bozena Kostek:
Intelligent Audio Signal Processing - Do We Still Need Annotated Datasets? ACIIDS (2) 2022: 682-692 - [c78]Grazina Korvel, Krzysztof Kakol, Povilas Treigys, Bozena Kostek:
Investigating Noise Interference on Speech Towards Applying the Lombard Effect Automatically. ISMIS 2022: 399-407 - [c77]Karolina Marciniuk, Bozena Kostek:
Machine learning applied to acoustic-based road traffic monitoring. KES 2022: 1087-1095 - [c76]Bozena Kostek:
Towards searching the Holy Grail in automatic music and speech processing - examples of the correlation between human expertise and automated classification. SPA 2022: 16 - [i5]Daniel Korzekwa, Jaime Lorenzo-Trueba, Thomas Drugman, Bozena Kostek:
Computer-assisted Pronunciation Training - Speech synthesis is almost all you need. CoRR abs/2207.00774 (2022) - 2021
- [j39]Adam Kurowski, Bozena Kostek:
Reinforcement Learning Algorithm and FDTD-Based Simulation Applied to Schroeder Diffuser Design Optimization. IEEE Access 9: 136004-136017 (2021) - [j38]Piotr Odya, Jozef Kotus, Adam Kurowski, Bozena Kostek:
Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions. Sensors 21(18): 6320 (2021) - [c75]Daniel Korzekwa, Jaime Lorenzo-Trueba, Szymon Zaporowski, Shira Calamaro, Thomas Drugman, Bozena Kostek:
Mispronunciation Detection in Non-Native (L2) English with Uncertainty Modeling. ICASSP 2021: 7738-7742 - [c74]Daniel Korzekwa, Roberto Barra-Chicote, Szymon Zaporowski, Grzegorz Beringer, Jaime Lorenzo-Trueba, Alicja Serafinowicz, Jasha Droppo, Thomas Drugman, Bozena Kostek:
Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention. Interspeech 2021: 3915-3919 - [c73]Daniel Korzekwa, Jaime Lorenzo-Trueba, Thomas Drugman, Shira Calamaro, Bozena Kostek:
Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech. Interspeech 2021: 4408-4412 - [i4]Daniel Korzekwa, Jaime Lorenzo-Trueba, Szymon Zaporowski, Shira Calamaro, Thomas Drugman, Bozena Kostek:
Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling. CoRR abs/2101.06396 (2021) - [i3]Daniel Korzekwa, Jaime Lorenzo-Trueba, Thomas Drugman, Shira Calamaro, Bozena Kostek:
Weakly-supervised word-level pronunciation error detection in non-native English speech. CoRR abs/2106.03494 (2021) - 2020
- [j37]Grazina Korvel, Krzysztof Kakol, Olga Kurasova, Bozena Kostek:
Evaluation of Lombard Speech Models in the Context of Speech in Noise Enhancement. IEEE Access 8: 155156-155170 (2020) - [j36]Jakub Browarczyk, Adam Kurowski, Bozena Kostek:
Analyzing the Effectiveness of the Brain-Computer Interface for Task Discerning Based on Machine Learning. Sensors 20(8): 2403 (2020) - [c72]Szymon Zaporowski, Bozena Kostek:
Ranking Speech Features for Their Usage in Singing Emotion Classification. ISMIS 2020: 225-234 - [i2]Daniel Korzekwa, Roberto Barra-Chicote, Szymon Zaporowski, Grzegorz Beringer, Jaime Lorenzo-Trueba, Alicja Serafinowicz, Jasha Droppo, Thomas Drugman, Bozena Kostek:
Detection of Lexical Stress Errors in Non-native (L2) English with Data Augmentation and Attention. CoRR abs/2012.14788 (2020)
2010 – 2019
- 2019
- [j35]Magdalena Piotrowska, Grazina Korvel, Bozena Kostek, Tomasz E. Ciszewski, Andrzej Czyzewski:
Machine Learning-based Analysis of English Lateral Allophones. Int. J. Appl. Math. Comput. Sci. 29(2): 393-405 (2019) - [j34]Adam Kurowski, Katarzyna Mrozik, Bozena Kostek, Andrzej Czyzewski:
Method for Clustering of Brain Activity Data Derived from EEG Signals. Fundam. Informaticae 168(2-4): 249-268 (2019) - [j33]Adam Kurowski, Katarzyna Mrozik, Bozena Kostek, Andrzej Czyzewski:
Comparison of the effectiveness of automatic EEG signal class separation algorithms. J. Intell. Fuzzy Syst. 37(6): 7537-7543 (2019) - [c71]Grazina Korvel, Olga Kurasova, Bozena Kostek:
An Attempt to Create Speech Synthesis Model That Retains Lombard Effect Characteristics. ICETE (1) 2019: 286-295 - [c70]Daniel Korzekwa, Roberto Barra-Chicote, Bozena Kostek, Thomas Drugman, Mateusz Lajszczak:
Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech. INTERSPEECH 2019: 3890-3894 - [c69]Dawid Weber, Bozena Kostek:
Subjective tests for gathering knowledge for applying color grading to video clips automatically. SPA 2019: 87-92 - [c68]Aleksandra Dorochowicz, Bozena Kostek:
Relationship between album cover design and music genres. SPA 2019: 93-98 - [p9]Aleksandra Dorochowicz, Piotr Hoffmann, Agata Majdanczuk, Bozena Kostek:
Classification of Music Genres by Means of Listening Tests and Decision Algorithms. Intelligent Methods and Big Data in Industrial Applications 2019: 291-305 - [p8]Grazina Korvel, Adam Kurowski, Bozena Kostek, Andrzej Czyzewski:
Speech Analytics Based on Machine Learning. Machine Learning Paradigms 2019: 129-157 - [i1]Daniel Korzekwa, Roberto Barra-Chicote, Bozena Kostek, Thomas Drugman, Mateusz Lajszczak:
Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech. CoRR abs/1907.04743 (2019) - 2018
- [j32]Grazina Korvel, Bozena Kostek, Olga Kurasova:
Comparative Analysis of Various Transformation Techniques for Voiceless Consonants Modeling. Int. J. Comput. Commun. Control 13(5): 853-864 (2018) - [j31]Aldona Rosner, Bozena Kostek:
Automatic music genre classification based on musical instrument track separation. J. Intell. Inf. Syst. 50(2): 363-384 (2018) - [c67]Magdalena Piotrowska, Grazina Korvel, Bozena Kostek, Arkadiusz Rojczyk, Andrzej Czyzewski:
Objectivization of Phonological Evaluation of Speech Elements by Means of Audio Parametrization. HSI 2018: 325-331 - [c66]Adam Kurowski, Katarzyna Mrozik, Bozena Kostek, Andrzej Czyzewski:
Automatic Clustering of EEG-Based Data Associated with Brain Activity. MISSI 2018: 470-479 - [c65]Grazina Korvel, Olga Kurasova, Bozena Kostek:
Comparative Analysis of Spectral and Cepstral Feature Extraction Techniques for Phoneme Modelling. MISSI 2018: 480-489 - [c64]Szymon Zaporowski, Joanna Golebiewska, Bozena Kostek, Julia Piltz:
Audio-visual aspect of the Lombard effect and comparison with recordings depicting emotional states. SPA 2018: 104-107 - [c63]Damian Koszewski, Bozena Kostek:
Low-level audio descriptors-based analysis of music mixes from different Digital Audio Workstations - case study. SPA 2018: 213-216 - 2017
- [j30]Andrzej Czyzewski, Bozena Kostek, Piotr Bratoszewski, Jozef Kotus, Marcin S. Szczuka:
An audio-visual corpus for multimodal automatic speech recognition. J. Intell. Inf. Syst. 49(2): 167-192 (2017) - [c62]Andrzej Czyzewski, Bozena Kostek, Adam Kurowski, Piotr Szczuko, Michal Lech, Piotr Odya, Agnieszka Kwiatkowska:
Multimodal approach for polysensory stimulation and diagnosis of subjects with severe communication disorders. CENTERIS/ProjMAN/HCist 2017: 238-243 - [c61]Adam Kurowski, Piotr Odya, Piotr Szczuko, Michal Lech, Pawel Spaleniak, Bozena Kostek, Andrzej Czyzewski:
Multimodal System for Diagnosis and Polysensory Stimulation of Subjects with Communication Disorders. ISMIS 2017: 47-56 - [c60]Grazina Korvel, Bozena Kostek:
Examining feature vector for phoneme recognition. ISSPIT 2017: 394-398 - [c59]Karolina Marciniuk, Bozena Kostek, Andrzej Czyzewski:
Traffic Noise Analysis Applied to Automatic Vehicle Counting and Classification. MCSS 2017: 110-123 - [c58]Katarzyna Mrozik, Bozena Kostek, Adam Kurowski, Andrzej Czyzewski:
Comparison of selected electroencephalographic signal classification methods. SPA 2017: 36-41 - 2016
- [j29]Kuba Lopatka, Andrzej Czyzewski, Bozena Kostek:
Improving listeners' experience for movie playback through enhancing dialogue clarity in soundtracks. Digit. Signal Process. 48: 40-49 (2016) - [j28]Michal Lech, Bozena Kostek, Andrzej Czyzewski:
Multimedia polysensory integration training system dedicated to children with educational difficulties. J. Intell. Inf. Syst. 47(3): 531-552 (2016) - [c57]Bozena Kostek, Magdalena Plewa:
Rough Sets Applied to Mood of Music Recognition. FedCSIS 2016: 71-78 - [c56]Andrzej Czyzewski, Bozena Kostek, Lukasz Kosikowski:
Multimodal Attention Stimulator. ICCHP (2) 2016: 568-571 - [c55]Andrzej Czyzewski, Bozena Kostek:
A Study in Experimental Methods of Human-Computer Communication for Patients After Severe Brain Injuries. IWBBIO 2016: 689-703 - [c54]Andrzej Czyzewski, Bozena Kostek, Marcin S. Szykulski, Tomasz E. Ciszewski:
Building Knowledge for the Purpose of Lip Speech Identification. MISSI 2016: 3-14 - [c53]Adam Kurowski, Karolina Marciniuk, Bozena Kostek:
Separability Assessment of Selected Types of Vehicle-Associated Noise. MISSI 2016: 113-121 - [c52]Piotr Hoffmann, Bozena Kostek:
A concept of signal equalization method based on music genre and the listener's room characteristics. SPA 2016: 213-218 - [c51]Krzysztof Kakol, Bozena Kostek:
A study on signal processing methods applied to hearing aids. SPA 2016: 219-224 - 2015
- [j27]Janusz Cichowski, Andrzej Czyzewski, Bozena Kostek:
Analysis of impact of audio modifications on the robustness of watermark for non-blind architecture. Multim. Tools Appl. 74(12): 4415-4435 (2015) - [j26]Bozena Kostek, Adam Kupryjanow, Andrzej Czyzewski:
Knowledge representation of motor activity of patients with Parkinson's disease. Nat. Comput. 14(4): 579-591 (2015) - [c50]Bozena Kostek:
Music Information Retrieval - Soft Computing Versus Statistics. CISIM 2015: 36-47 - [c49]Aldona Rosner, Bozena Kostek:
Musical Instrument Separation Applied to Music Genre Classification. ISMIS 2015: 420-430 - [c48]Andrzej Czyzewski, Adam Korzeniewski, Piotr Odya, Piotr Szczuko, Bozena Kostek:
Survey on Applications of Multimedia Technology to Examine Impact of Roadside Advertising on Drivers. MCSS 2015: 141-155 - [c47]Piotr Hoffmann, Bozena Kostek:
Music Genre Recognition in the Rough Set-Based Environment. PReMI 2015: 377-386 - [c46]Piotr Szczuko, Bozena Kostek, Jozef Kotus, Andrzej Czyzewski:
Rough Set Based Modeling and Visualization of the Acoustic Field Around the Human Head. PReMI 2015: 418-427 - [c45]Jozef Kotus, Piotr Odya, Bozena Kostek:
Measurements and visualization of sound field distribution around organ pipe. SPA 2015: 145-150 - 2014
- [c44]Piotr Hoffmann, Bozena Kostek:
Music Data Processing and Mining in Large Databases for Active Media. AMT 2014: 85-95 - [c43]Bartosz Kunka, Adam Korzeniewski, Bozena Kostek, Andrzej Czyzewski:
Eye-Gaze Tracking-Based Telepresence System for Videoconferencing. AMT 2014: 432-441 - [c42]Michal Lech, Andrzej Czyzewski, Waldemar Kucharski, Bozena Kostek:
Computer-Supported Polysensory Integration Technology for Educationally Handicapped Pupils. ISMIS 2014: 224-233 - [p7]Maciej Szczodrak, Andrzej Czyzewski, Jozef Kotus, Bozena Kostek:
Supercomputing Grid-Based Services for Hearing Protection and Acoustical Urban Planning, Research and Education. PL-Grid 2014: 263-277 - [p6]Bozena Kostek, Piotr Hoffmann, Andrzej Kaczmarek, Pawel Spaleniak:
Creating a Reliable Music Discovery and Recommendation System. Intelligent Tools for Building a Scientific Information Platform 2014: 107-130 - 2013
- [j25]Maciej Szczodrak, Jozef Kotus, Andrzej Czyzewski, Bozena Kostek:
The Application of a noise Mapping Tool Deployed in Grid Infrastructure for Creating noise Maps of Urban areas. Comput. Sci. 14(2): 231-242 (2013) - [j24]Bozena Kostek, Andrzej Kaczmarek:
Music Recommendation Based on Multidimensional Description and Similarity Measures. Fundam. Informaticae 127(1-4): 325-340 (2013) - [j23]Bozena Kostek, Magdalena Plewa:
Parametrisation and correlation analysis applied to music mood classification. Int. J. Comput. Intell. Stud. 2(1): 4-25 (2013) - [c41]Janusz Cichowski, Andrzej Czyzewski, Bozena Kostek:
Visual Data Encryption for Privacy Enhancement in Surveillance Systems. ACIVS 2013: 13-24 - [c40]Aldona Rosner, Felix Weninger, Björn W. Schuller, Marcin Michalak, Bozena Kostek:
Influence of Low-Level Features Extracted from Rhythmic and Harmonic Sections on Music Genre Classification. ICMMI 2013: 467-473 - [p5]Bozena Kostek:
Music Information Retrieval in Music Repositories. Rough Sets and Intelligent Systems (1) 2013: 463-489 - [p4]Janusz Cichowski, Piotr Czyzyk, Bozena Kostek, Andrzej Czyzewski:
Low-Level Music Feature Vectors Embedded as Watermarks. Intelligent Tools for Building a Scientific Information Platform 2013: 453-473 - 2012
- [j22]Michal Lech, Bozena Kostek, Andrzej Czyzewski:
Virtual Whiteboard: A gesture-controlled pen-free tool emulating school whiteboard. Intell. Decis. Technol. 6(2): 161-169 (2012) - [j21]Katarzyna Kaszuba, Bozena Kostek:
A new approach for automatic assessment of a neurological condition employing hand gesture classification. Intell. Decis. Technol. 6(2): 171-176 (2012) - [j20]Michal Lech, Bozena Kostek:
Hand gesture recognition supported by fuzzy rules and Kalman filters. Int. J. Intell. Inf. Database Syst. 6(5): 407-420 (2012) - [j19]Andrzej Czyzewski, Bozena Kostek:
Intelligent video and audio applications for learning enhancement. J. Intell. Inf. Syst. 38(3): 555-574 (2012) - [c39]Piotr Czyzyk, Janusz Cichowski, Andrzej Czyzewski, Bozena Kostek:
Analysis of Impact of Lossy Audio Compression on the Robustness of Watermark Embedded in the DWT Domain for Non-blind Copyright Protection. MCSS 2012: 36-46 - [c38]Michal Lech, Bozena Kostek, Andrzej Czyzewski:
Examining Classifiers Applied to Static Hand Gesture Recognition in Novel Sound Mixing System. MISSI 2012: 77-86 - [p3]Andrzej Czyzewski, Adam Kupryjanow, Bozena Kostek:
Online Sound Restoration for Digital Library Applications. Intelligent Tools for Building a Scientific Information Platform 2012: 227-242 - 2011
- [c37]Katarzyna Kaszuba, Bozena Kostek:
3D Hand Shape Modeling for Automatic Assessing Motor Performance in Parkinson's Disease. ICMMI 2011: 207-217 - [c36]Andrzej Czyzewski, Bozena Kostek:
Intelligent Multimedia Solutions Supporting Special Education Needs. ISMIS 2011: 1-15 - [c35]Bozena Kostek, Adam Kupryjanow, Pawel Zwan, Wenxin Jiang, Zbigniew W. Ras, Marcin Wojnarski, Joanna Swietlicka:
Report of the ISMIS 2011 Contest: Music Information Retrieval. ISMIS 2011: 715-724 - [c34]Bozena Kostek:
Observing Uncertainty in Music Tagging by Automatic Gaze Tracking. Semantic Audio 2011 - [c33]Andrzej Czyzewski, Bozena Kostek, Adam Kupryjanow:
Automatic Sound Restoration System - Concepts and Design. SIGMAP 2011: 207-211 - 2010
- [j18]Bartosz Kunka, Bozena Kostek, Maciej Kulesza, Piotr Szczuko, Andrzej Czyzewski:
Gaze-tracking-based audio-visual correlation analysis employing quality of experience methodology. Intell. Decis. Technol. 4(3): 217-227 (2010) - [j17]Bartosz Kunka, Bozena Kostek:
Exploiting Audio-Visual Correlation by Means of Gaze Tracking. Int. J. Comput. Sci. Appl. 7(3): 104-123 (2010) - [c32]Adam Kupryjanow, Bartosz Kunka, Bozena Kostek:
UPDRS Tests for Diagnosis of Parkinson's Disease Employing Virtual-Touchpad. DEXA Workshops 2010: 132-136 - [c31]Andrzej Czyzewski, Piotr Odya, Janusz M. Smulko, Grzegorz Lentka, Bozena Kostek, Mateusz Kotarski:
Scent Emitting Multimodal Computer Interface for Learning Enhancement. DEXA Workshops 2010: 142-146 - [c30]Marek Dziubinski, Bozena Kostek:
Evaluation of the Separation Algorithm Performance Employing ANNs. MISSI 2010: 27-37 - [c29]Michal Lech, Bozena Kostek:
Fuzzy Rule-Based Dynamic Gesture Recognition Employing Camera and Multimedia Projector. MISSI 2010: 69-78 - [c28]Pawel Zwan, Katarzyna Kaszuba, Bozena Kostek:
Monitoring Parkinson's Disease Patients Employing Biometric Sensors and Rule-Based Data Processing. RSCTC 2010: 110-119 - [c27]Michal Lech, Bozena Kostek:
Gesture controlled interactive whiteboard based on SVM and fuzzy logic. SIGGRAPH Posters 2010: 83:1 - [p2]Jaroslaw Wójcik, Bozena Kostek:
Representations of Music in Ranking Rhythmic Hypotheses. Advances in Music Information Retrieval 2010: 39-64
2000 – 2009
- 2009
- [c26]Bartosz Kunka, Andrzej Czyzewski, Bozena Kostek:
Concentration Tests - An Application of Gaze Tracker to Concentration Exercises. CSEDU (2) 2009: 119-122 - [c25]Piotr Szczuko, Bozena Kostek, Andrzej Czyzewski:
New Method for Personalization of Avatar Animation. ICMMI 2009: 435-443 - [c24]Piotr Szczuko, Bozena Kostek:
Enhancement of computer character animation utilizing fuzzy rules. KES IIMSS 2009: 241-251 - [c23]Michal Lech, Bozena Kostek:
Human-Computer Interaction Approach Applied to the Multimedia System of Polysensory Integration. KES IIMSS 2009: 265-274 - [c22]Bartosz Kunka, Bozena Kostek:
An new method of audio-visual correlation analysis. IMCSIT 2009: 497-502 - [c21]Andrzej Czyzewski, Piotr Odya, Agnieszka Grabkowska, Michal Grabkowski, Bozena Kostek:
Smart pen: new multimodal computer control tool for dyslexia therapy. SIGGRAPH Posters 2009 - 2008
- [j16]Bozena Kostek, Jaroslaw Wójcik, Piotr Szczuko:
Automatic Rhythm Retrieval from Musical Files. Trans. Rough Sets 9: 56-75 (2008) - [j15]Pawel Zwan, Piotr Szczuko, Bozena Kostek, Andrzej Czyzewski:
Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets. Trans. Rough Sets 9: 455-473 (2008) - 2007
- [j14]Bozena Kostek:
The Domain of Acoustics Seen from the Rough Sets Perspective. Trans. Rough Sets 6: 133-151 (2007) - [c20]Bozena Kostek, Jaroslaw Wójcik:
Automatic Salience-Based Hypermetric Rhythm Retrieval. MUE 2007: 1220-1226 - [c19]Bozena Kostek, Jaroslaw Wójcik, Piotr Szczuko:
Searching for Metric Structure of Musical Files. RSEISP 2007: 774-783 - [c18]Pawel Zwan, Piotr Szczuko, Bozena Kostek, Andrzej Czyzewski:
Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets. RSEISP 2007: 793-802 - 2006
- [j13]Bozena Kostek, Piotr Szczuko:
Rough Set-Based Application to Recognition of Emotionally-Charged Animated Character's Gestures. Trans. Rough Sets 5: 146-166 (2006) - [c17]Andrzej Czyzewski, Bozena Kostek, Przemyslaw Maziewski, Lukasz Litwic:
Accidental Wow Defect Evaluation Using Sinusoidal Analysis Enhanced by Artificial Neural Networks. RSKT 2006: 389-395 - 2005
- [j12]Bozena Kostek:
Scanning the Issue. J. Intell. Inf. Syst. 24(2-3): 95-97 (2005) - [j11]Marek Dziubinski, Piotr Dalka, Bozena Kostek:
Estimation of Musical Sound Separation Algorithm Effectiveness Employing Neural Networks. J. Intell. Inf. Syst. 24(2-3): 133-157 (2005) - [j10]Bozena Kostek, Jaroslaw Wójcik:
Machine learning system for estimating the rhythmic salience of sounds. Int. J. Knowl. Based Intell. Eng. Syst. 9(4): 275-284 (2005) - [j9]Bozena Kostek, Piotr Szczuko, Pawel Zwan, Piotr Dalka:
Processing of Musical Data Employing Rough Sets and Artificial Neural Networks. Trans. Rough Sets 3: 112-133 (2005) - [c16]Bozena Kostek, Jaroslaw Wójcik, Piotr Holonowicz:
Estimation the Rhythmic Salience of Sound with Association Rules and Neural Networks. Intelligent Information Systems 2005: 531-540 - [c15]Bozena Kostek, Pawel Zwan:
Automatic Classification of Singing Voice Quality. ISDA 2005: 444-449 - [c14]Bozena Kostek, Piotr Szczuko:
Analysis and Generation of Emotionally-Charged Animated Gesticulation. RSFDGrC (2) 2005: 333-341 - [e2]Bozena Kostek:
Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology. Studies in Computational Intelligence 3, Springer 2005, ISBN 978-3-540-25729-5 - 2004
- [j8]Bozena Kostek:
Application of soft computing to automatic music information retrieval. J. Assoc. Inf. Sci. Technol. 55(12): 1108-1116 (2004) - [j7]Bozena Kostek:
Musical instrument classification and duet analysis employing music information retrieval techniques. Proc. IEEE 92(4): 712-729 (2004) - [j6]Andrzej Czyzewski, Marek Szczerba, Bozena Kostek:
Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets. Trans. Rough Sets 1: 254-278 (2004) - [j5]Bozena Kostek, Andrzej Czyzewski:
Processing of Musical Metadata Employing Pawlak's Flow Graphs. Trans. Rough Sets 1: 279-298 (2004) - [c13]Bozena Kostek, Jaroslaw Wójcik:
Forming and Ranking Musical Rhythm Hypotheses. KES 2004: 750-756 - [c12]Andrzej Czyzewski, Bozena Kostek, Henryk Skarzynski:
Intelligent System for Environmental Noise Monitoring. MSRAS 2004: 397-410 - [c11]Bozena Kostek, Piotr Szczuko, Pawel Zwan:
Processing of Musical Data Employing Rough Sets and Artificial Neural Networks. Rough Sets and Current Trends in Computing 2004: 539-548 - [c10]Andrzej Czyzewski, Bozena Kostek:
Musical Metadata Retrieval with Flow Graphs. Rough Sets and Current Trends in Computing 2004: 691-698 - [p1]Bozena Kostek:
22 Rough-Neuro Approach to Testing the Influence of Visual Cues on Surround Sound Perception. Rough-Neural Computing: Techniques for Computing with Words 2004: 555-572 - [e1]James F. Peters, Andrzej Skowron, Jerzy W. Grzymala-Busse, Bozena Kostek, Roman W. Swiniarski, Marcin S. Szczuka:
Transactions on Rough Sets I. Lecture Notes in Computer Science 3100, Springer 2004, ISBN 3-540-22374-6 [contents] - 2003
- [j4]Andrzej Czyzewski, Andrzej Kaczmarek, Bozena Kostek:
Intelligent Processing of Stuttered Speech. J. Intell. Inf. Syst. 21(2): 143-171 (2003) - [c9]Bozena Kostek:
"Computing with words" Concept Applied to Musical Information Retrieval. RSKD 2003: 141-152 - 2002
- [j3]Andrzej Czyzewski, Bozena Kostek:
Expert media approach to hearing aids fitting. Int. J. Intell. Syst. 17(2): 255-272 (2002) - 2000
- [c8]Andrzej Czyzewski, Bozena Kostek, Piotr Odya, Slawomir K. Zielinski:
Determining Influence of Visual Cues on the Perception of Surround Sound Using Soft Computing. Rough Sets and Current Trends in Computing 2000: 545-552 - [c7]Rafal Królikowski, Andrzej Czyzewski, Bozena Kostek:
Localization of Sound Sources by Means of Recurrent Neural Networks. Rough Sets and Current Trends in Computing 2000: 603-610
1990 – 1999
- 1999
- [c6]Bozena Kostek, Andrzej Czyzewski, Jacek Lasecki:
Spatial filtration of sound for multimedia systems. MMSP 1999: 209-213 - [c5]Andrzej Czyzewski, Rafal Królikowski, Slawomir K. Zielinski, Bozena Kostek:
Echo and noise reduction methods for multimedia communication systems. MMSP 1999: 239-244 - [c4]Andrzej Czyzewski, Henryk Skarzynski, Bozena Kostek, Rafal Królikowski:
Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits in Cochlear Implanted Patients. RSFDGrC 1999: 109-117 - 1998
- [j2]Bozena Kostek:
Computer-Based Recognition of Musical Phrases Using The Rough-Set Approach. Inf. Sci. 104(1-2): 15-30 (1998) - [c3]Andrzej Czyzewski, H. Skarzynaski, Bozena Kostek, A. Geremek:
Multimedia technology for hearing impaired people. MMSP 1998: 181-186 - [c2]Andrzej Czyzewski, Bozena Kostek:
Rough Set Methods and Applications. Rough Sets and Current Trends in Computing 1998: 467-474 - 1996
- [j1]Bozena Kostek:
Rough Set and Fuzzy Set Methods Applied to Acoustical Analyses. Intell. Autom. Soft Comput. 2(2): 147-159 (1996) - 1993
- [c1]Bozena Kostek:
Intelligent Control System Implementation to the Pipe Organ Instrument. RSKD 1993: 450-457
Coauthor Index
[j43] [j35] [j34] [j33] [p8] [c67] [c66] [j30] [c62] [c61] [c59] [c58] [j29] [j28] [c56] [c55] [c54] [j27] [j26] [c48] [c46] [c43] [c42] [p7] [j25] [c41] [p4] [j22] [j19] [c39] [c38] [p3] [c36] [c33] [j18] [c31] [c26] [c25] [c21] [j15] [c18] [c17] [j6] [j5] [c12] [c10] [j4] [j3] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
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