Dragi Kocev
Orcid: 0000-0003-0687-0878
According to our database1,
Dragi Kocev
authored at least 91 papers
between 2006 and 2024.
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Bibliography
2024
Semi-Supervised Multi-Label Classification of Land Use/Land Cover in Remote Sensing Images With Predictive Clustering Trees and Ensembles.
IEEE Trans. Geosci. Remote. Sens., 2024
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2024
Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification.
Int. J. Intell. Syst., 2024
2023
SoftwareX, December, 2023
Remote. Sens., May, 2023
Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images.
Remote. Sens., January, 2023
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification.
CoRR, 2023
2022
Explaining the performance of multilabel classification methods with data set properties.
Int. J. Intell. Syst., 2022
Expert Syst. Appl., 2022
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021.
CoRR, 2022
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification.
CoRR, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Crop Type Prediction Across Countries and Years: Slovenia, Denmark and the Netherlands.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Int. J. Intell. Syst., 2021
Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland.
Ecol. Informatics, 2021
CoRR, 2021
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data.
CoRR, 2021
Explaining the Performance of Multi-label Classification Methods with Data Set Properties.
CoRR, 2021
A comprehensive comparison of molecular feature representations for use in predictive modeling.
Comput. Biol. Medicine, 2021
Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors.
Comput. Biol. Medicine, 2021
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures.
Big Data Res., 2021
2020
PeerJ Comput. Sci., 2020
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs.
Mach. Learn., 2020
Expert Syst. Appl., 2020
Comput. Sci. Inf. Syst., 2020
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020
Performance2vec: a step further in explainable stochastic optimization algorithm performance.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Inf. Sci., 2019
Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors.
IEEE Access, 2019
Proceedings of the 42nd International Convention on Information and Communication Technology, 2019
Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining.
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Performance Measures Fusion for Experimental Comparison of Methods for Multi-label Classification.
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019
2018
Mach. Learn., 2018
Informatica (Slovenia), 2018
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft.
CoRR, 2018
Comput. Sci. Inf. Syst., 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
2017
Mach. Learn., 2017
Knowl. Based Syst., 2017
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
Predictive Clustering of Multi-dimensional Time Series Applied to Forest Growing Stock Data for Different Tree Sizes.
Proceedings of the ICT Innovations 2017, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees.
Proceedings of the Artificial Intelligence in Medicine, 2017
2016
Inf. Sci., 2016
Proceedings of the 39th International Convention on Information and Communication Technology, 2016
Proceedings of the Discovery Science - 19th International Conference, 2016
2015
J. Intell. Inf. Syst., 2015
Non-invasive real-time prediction of inner knee temperatures during therapeutic cooling.
Comput. Methods Programs Biomed., 2015
Improved medical image modality classification using a combination of visual and textual features.
Comput. Medical Imaging Graph., 2015
Semi-supervised learning for multi-target regression (Discussion paper).
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
Proceedings of the Discovery Science - 18th International Conference, 2015
2014
Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees.
Pattern Recognit. Lett., 2014
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014
Proceedings of the Working Notes for CLEF 2014 Conference, 2014
2013
Ecol. Informatics, 2013
Proceedings of the New Frontiers in Mining Complex Patterns, 2013
The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance.
Proceedings of the New Frontiers in Mining Complex Patterns, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
2012
Pattern Recognit., 2012
Hierarchical classification of diatom images using ensembles of predictive clustering trees.
Ecol. Informatics, 2012
2011
2010
BMC Bioinform., 2010
Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees.
Proceedings of the CLEF 2010 LABs and Workshops, 2010
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010
2009
Predicting chemical parameters of the water from diatom abudance in lake Prespa and its tributaries.
Proceedings of the Information Technologies in Environmental Engineering, 2009
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009
2007
Proceedings of the Machine Learning: ECML 2007, 2007
2006
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006