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Sanja Brdar
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2020 – today
- 2024
- [j11]Milos Pandzic, Dejan Pavlovic, Predrag Matavulj
, Sanja Brdar
Interseasonal transfer learning for crop mapping using Sentinel-1 data. Int. J. Appl. Earth Obs. Geoinformation 128: 103718 (2024) - [j10]Andrea Simeon
Multi-class boosting for the analysis of multiple incomplete views on microbiome data. BMC Bioinform. 25(1): 188 (2024) - [j9]Marija Kopanja
Cost-sensitive tree SHAP for explaining cost-sensitive tree-based models. Comput. Intell. 40(3) (2024) - 2023
- [j8]Predrag Matavulj
Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation. Appl. Artif. Intell. 37(1) (2023) - [c12]Marija Kopanja, Sanja Brdar, Stefan Hacko:
Uncovering Decision-making Process of Cost-sensitive Tree-based Classifiers using the Adaptation of TreeSHAP. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 95-100 - 2022
- [j7]Danijela Tesendic, Danijela Boberic Krsticev
RealForAll: real-time system for automatic detection of airborne pollen. Enterp. Inf. Syst. 16(5) (2022) - [j6]Mirjana Radulovic
Assessment of Groundwater Potential Zones Using GIS and Fuzzy AHP Techniques - A Case Study of the Titel Municipality (Northern Serbia). ISPRS Int. J. Geo Inf. 11(4): 257 (2022) - [j5]Nastasija Grujic
Combining Telecom Data with Heterogeneous Data Sources for Traffic and Emission Assessments - An Agent-Based Approach. ISPRS Int. J. Geo Inf. 11(7): 366 (2022) - 2021
- [j4]Bojana Ivosevic
UAV-Based Land Cover Classification for Hoverfly (Diptera: Syrphidae) Habitat Condition Assessment: A Case Study on Mt. Stara Planina (Serbia). Remote. Sens. 13(16): 3272 (2021) - [c11]Vladan Filipovic
Significance of Morphological Features in Rice Variety Classification Using Hyperspectral Imaging. ISPA 2021: 171-176 - [c10]Andrea Mihajlovic, Katarina Mladenovic
Machine Learning Based Metagenomic Prediction of Inflammatory Bowel Disease. pHealth 2021: 165-170 - 2020
- [j3]Olivera Novovic
Uncovering the Relationship between Human Connectivity Dynamics and Land Use. ISPRS Int. J. Geo Inf. 9(3): 140 (2020) - [c9]Olivera Novovic, Nastasija Grujic, Sanja Brdar, Miro Govedarica
Clustering Foursquare Mobility Networks to Explore Urban Spaces. WorldCIST (3) 2020: 544-553
2010 – 2019
- 2019
- [c8]Debora Santo, Tatjana Loncar-Turukalo
Clustering and Classification of Human Microbiome Data: Evaluating the Impact of Different Settings in Bioinformatics Workflows. BIBE 2019: 838-845 - [c7]Tatjana Loncar-Turukalo
Clustering of Microbiome Data: Evaluation of Ensemble Design Approaches. EUROCON 2019: 1-6 - [c6]Mladen Kovacevic
Some Enumeration Problems in the Duplication-Loss Model of Genome Rearrangement. ISIT 2019: 927-931 - [c5]Zeljana Grbovic, Marko Panic, Oskar Marko, Sanja Brdar, Vladimir S. Crnojevic:
Wheat Ear Detection in RGB : and Thermal Images Using Deep Neural Networks. MLDM (2) 2019: 875-889 - [p1]Sanja Brdar, Olivera Novovic, Nastasija Grujic, Horacio González-Vélez
Big Data Processing, Analysis and Applications in Mobile Cellular Networks. High-Performance Modelling and Simulation for Big Data Applications 2019: 163-185 - [i2]Mladen Kovacevic
Some Enumeration Problems in the Duplication-Loss Model of Genome Rearrangement. CoRR abs/1902.00230 (2019) - 2018
- [c4]Ciprian-Octavian Truica
Community Detection in Who-calls-Whom Social Networks. DaWaK 2018: 19-33 - 2017
- [c3]Isidora Sasic, Sanja Brdar, Tatjana Loncar-Turukalo
Consensus Clustering for Cancer Gene Expression Data - Large-Scale Analysis using Evidence Accumulation Approach. BIOINFORMATICS 2017: 176-183 - 2016
- [j2]Oskar Marko
Soybean varieties portfolio optimisation based on yield prediction. Comput. Electron. Agric. 127: 467-474 (2016) - [c2]Sanja Brdar, Vladimir S. Crnojevic
Ensemble Approaches for Stable Assessment of Clusters in Microbiome Samples. CIBB 2016: 199-208 - [c1]Monika Papic, Sanja Brdar, Vladimir Papic, Tatjana Loncar-Turukalo
Return to Work After Lumbar Microdiscectomy - Personalizing Approach Through Predictive Modeling. pHealth 2016: 181-183 - 2015
- [j1]Sanja Brdar, Vladimir S. Crnojevic, Blaz Zupan:
Integrative Clustering by Nonnegative Matrix Factorization Can Reveal Coherent Functional Groups From Gene Profile Data. IEEE J. Biomed. Health Informatics 19(2): 698-708 (2015) - [i1]Sanja Brdar, Katarina Gavric, Dubravko Culibrk, Vladimir S. Crnojevic:
Unveiling Spatial Epidemiology of HIV with Mobile Phone Data. CoRR abs/1503.06575 (2015)
Coauthor Index
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last updated on 2024-10-07 22:17 CEST by the dblp team
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