Elzbieta Kubera

Orcid: 0000-0003-3447-9569

Affiliations:
  • University of Life Sciences in Lublin, Poland


According to our database1, Elzbieta Kubera authored at least 26 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Online presence:

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Bibliography

2022
Detection and Recognition of Pollen Grains in Multilabel Microscopic Images.
Sensors, 2022

Towards Automation of Pollen Monitoring: Image-Based Tree Pollen Recognition.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

2021
Deep Learning Methods for Improving Pollen Monitoring.
Sensors, 2021

2020
Parameter Tuning for Speed Changes Detection in On-Road Audio Recordings of Single Drives.
Proceedings of the Intelligent Systems in Industrial Applications, 2020

2019
Discovering Speed Changes of Vehicles from Audio Data.
Sensors, 2019

Hough Transform as a Tool for the Classification of Vehicle Speed Changes in On-Road Audio Recordings.
Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019

2018
Spectral features for audio based vehicle and engine classification.
J. Intell. Inf. Syst., 2018

2017
Time-Frequency Representations for Speed Change Classification: A Pilot Study.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

2016
Audio-Based Speed Change Classification for Vehicles.
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

2015
Spectral Features for Audio Based Vehicle Identification.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Audio-Based Hierarchic Vehicle Classification for Intelligent Transportation Systems.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

2014
Pitch-Related Identification of Instruments in Classical Music Recordings.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Influence of Feature Sets on Precision, Recall, and Accuracy of Identification of Musical Instruments in Audio Recordings.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

2013
Time Variability-Based Hierarchic Recognition of Multiple Musical Instruments in Recordings.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Mining Audio Data for Multiple Instrument Recognition in Classical Music.
Proceedings of the New Frontiers in Mining Complex Patterns, 2013

2011
Analysis of Recognition of a Musical Instrument in Sound Mixes Using Support Vector Machines.
Fundam. Informaticae, 2011

All That Jazz in the Random Forest.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Playing in Unison in the Random Forest.
Proceedings of the Security and Intelligent Information Systems, 2011

2010
Identification of Musical Instruments by Features Describing Sound Changes in Time.
Proceedings of the Advances in Intelligent Information Systems, 2010

Identification of a dominating instrument in polytimbral same-pitch mixes using SVM classifiers with non-linear kernel.
J. Intell. Inf. Syst., 2010

Random Musical Bands Playing in Random Forests.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Recognition of Instrument Timbres in Real Polytimbral Audio Recordings.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009
Musical Instruments in Random Forest.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

2008
Training of Classifiers for the Recognition of Musical Instrument Dominating in the Same-Pitch Mix.
Proceedings of the New Challenges in Applied Intelligence Technologies, 2008

Identification of Dominating Instrument in Mixes of Sounds of the Same Pitch.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

2007
Quality of Musical Instrument Sound Identification for Various Levels of Accompanying Sounds.
Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007


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