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ORCIDElzbieta Kubera
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- affiliation: University of Life Sciences in Lublin, Poland
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2020 – today
- 2022
[j6]Elzbieta Kubera
, Agnieszka Kubik-Komar, Pawel Kurasinski, Krystyna Piotrowska-Weryszko, Magdalena Skrzypiec:
Detection and Recognition of Pollen Grains in Multilabel Microscopic Images. Sensors 22(7): 2690 (2022)- [c17]Elzbieta Kubera, Agnieszka Kubik-Komar, Alicja Wieczorkowska, Krystyna Piotrowska-Weryszko, Pawel Kurasinski, Agata Konarska:
Towards Automation of Pollen Monitoring: Image-Based Tree Pollen Recognition. ISMIS 2022: 219-229 - 2021
- [j5]Elzbieta Kubera, Agnieszka Kubik-Komar, Krystyna Piotrowska-Weryszko, Magdalena Skrzypiec:
Deep Learning Methods for Improving Pollen Monitoring. Sensors 21(10): 3526 (2021) - 2020
- [c16]Elzbieta Kubera, Alicja Wieczorkowska, Andrzej Kuranc:
Parameter Tuning for Speed Changes Detection in On-Road Audio Recordings of Single Drives. ISMIS (Industrial Paper) 2020: 3-14
2010 – 2019
- 2019
- [j4]Elzbieta Kubera, Alicja Wieczorkowska, Andrzej Kuranc, Tomasz Slowik:
Discovering Speed Changes of Vehicles from Audio Data. Sensors 19(14): 3067 (2019) - [c15]Elzbieta Kubera, Alicja Wieczorkowska, Andrzej Kuranc:
Hough Transform as a Tool for the Classification of Vehicle Speed Changes in On-Road Audio Recordings. NFMCP@PKDD/ECML 2019: 137-154 - 2018
- [j3]Alicja Wieczorkowska, Elzbieta Kubera, Tomasz Slowik, Krzysztof Skrzypiec:
Spectral features for audio based vehicle and engine classification. J. Intell. Inf. Syst. 50(2): 265-290 (2018) - 2017
- [c14]Alicja Wieczorkowska, Elzbieta Kubera, Danijel Korzinek, Tomasz Slowik, Andrzej Kuranc:
Time-Frequency Representations for Speed Change Classification: A Pilot Study. ISMIS 2017: 404-413 - 2016
- [c13]Elzbieta Kubera, Alicja Wieczorkowska, Tomasz Slowik, Andrzej Kuranc, Krzysztof Skrzypiec:
Audio-Based Speed Change Classification for Vehicles. NFMCP@PKDD/ECML 2016: 54-68 - 2015
- [c12]Elzbieta Kubera, Alicja Wieczorkowska, Krzysztof Skrzypiec:
Audio-Based Hierarchic Vehicle Classification for Intelligent Transportation Systems. ISMIS 2015: 343-352 - [c11]Alicja Wieczorkowska, Elzbieta Kubera, Tomasz Slowik, Krzysztof Skrzypiec:
Spectral Features for Audio Based Vehicle Identification. NFMCP 2015: 163-178 - 2014
- [c10]Elzbieta Kubera, Alicja Wieczorkowska, Magdalena Skrzypiec:
Influence of Feature Sets on Precision, Recall, and Accuracy of Identification of Musical Instruments in Audio Recordings. ISMIS 2014: 204-213 - [c9]Elzbieta Kubera, Alicja A. Wieczorkowska:
Pitch-Related Identification of Instruments in Classical Music Recordings. NFMCP 2014: 194-209 - 2013
- [c8]Elzbieta Kubera, Alicja A. Wieczorkowska:
Mining Audio Data for Multiple Instrument Recognition in Classical Music. NFMCP 2013: 246-260 - [p3]Elzbieta Kubera, Alicja Wieczorkowska, Zbigniew W. Ras:
Time Variability-Based Hierarchic Recognition of Multiple Musical Instruments in Recordings. Rough Sets and Intelligent Systems (2) 2013: 347-363 - 2011
- [j2]Alicja Wieczorkowska, Elzbieta Kubera, Agnieszka Kubik-Komar:
Analysis of Recognition of a Musical Instrument in Sound Mixes Using Support Vector Machines. Fundam. Informaticae 107(1): 85-104 (2011) - [c7]Alicja Wieczorkowska, Miron B. Kursa, Elzbieta Kubera, Radoslaw Rudnicki, Witold R. Rudnicki:
Playing in Unison in the Random Forest. SIIS 2011: 226-239 - [c6]Elzbieta Kubera, Miron B. Kursa, Witold R. Rudnicki, Radoslaw Rudnicki, Alicja Wieczorkowska:
All That Jazz in the Random Forest. ISMIS 2011: 543-553 - 2010
- [j1]Alicja Wieczorkowska, Elzbieta Kubera:
Identification of a dominating instrument in polytimbral same-pitch mixes using SVM classifiers with non-linear kernel. J. Intell. Inf. Syst. 34(3): 275-303 (2010) - [c5]Elzbieta Kubera, Alicja Wieczorkowska, Zbigniew W. Ras, Magdalena Skrzypiec:
Recognition of Instrument Timbres in Real Polytimbral Audio Recordings. ECML/PKDD (2) 2010: 97-110 - [c4]Miron B. Kursa, Elzbieta Kubera, Witold R. Rudnicki, Alicja Wieczorkowska:
Random Musical Bands Playing in Random Forests. RSCTC 2010: 580-589 - [p2]Elzbieta Kubera, Zbigniew W. Ras:
Identification of Musical Instruments by Features Describing Sound Changes in Time. Advances in Intelligent Information Systems 2010: 357-366
2000 – 2009
- 2009
- [c3]Miron B. Kursa, Witold R. Rudnicki, Alicja Wieczorkowska, Elzbieta Kubera, Agnieszka Kubik-Komar:
Musical Instruments in Random Forest. ISMIS 2009: 281-290 - 2008
- [c2]Alicja Wieczorkowska, Elzbieta Kolczynska:
Identification of Dominating Instrument in Mixes of Sounds of the Same Pitch. ISMIS 2008: 455-464 - [p1]Alicja Wieczorkowska, Elzbieta Kolczynska, Zbigniew W. Ras:
Training of Classifiers for the Recognition of Musical Instrument Dominating in the Same-Pitch Mix. New Challenges in Applied Intelligence Technologies 2008: 213-222 - 2007
- [c1]Alicja Wieczorkowska, Elzbieta Kolczynska:
Quality of Musical Instrument Sound Identification for Various Levels of Accompanying Sounds. MCD 2007: 93-103
Coauthor Index
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