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Ivica Dimitrovski
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- affiliation: Ss. Cyril and Methodius University in Skopje, Macedonia
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2020 – today
- 2024
- [j15]Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev:
In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j14]Ivica Dimitrovski, Vlatko Spasev, Suzana Loshkovska, Ivan Kitanovski:
U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery. Remote. Sens. 16(12): 2077 (2024) - 2023
- [j13]Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev:
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. Remote. Sens. 15(9): 2343 (2023) - [c32]Katarina Trojachanec Dineva, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska, Alzheimer's Disease Neuroimaging Initiative:
A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease. HEALTHINF 2023: 554-561 - [c31]Vlatko Spasev, Ivica Dimitrovski, Ivan Kitanovski, Ivan Chorbev:
Semantic Segmentation of Remote Sensing Images: Definition, Methods, Datasets and Applications. ICT Innovations 2023: 127-140 - [i5]Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev:
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. CoRR abs/2307.01645 (2023) - 2022
- [c30]Katarina Trojachanec Dineva, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska:
Combining Static and Dynamic Features to Improve Longitudinal Image Retrieval for Alzheimer's Disease. ICT Innovations 2022: 107-120 - [c29]Elena Merdjanovska, Ivan Kitanovski, Ziga Kokalj, Ivica Dimitrovski, Dragi Kocev:
Crop Type Prediction Across Countries and Years: Slovenia, Denmark and the Netherlands. IGARSS 2022: 5945-5948 - [i4]Ivica Dimitrovski, Ivan Kitanovski, Pance Panov, Nikola Simidjievski, Dragi Kocev:
AiTLAS: Artificial Intelligence Toolbox for Earth Observation. CoRR abs/2201.08789 (2022) - [i3]Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev, Nikola Simidjievski:
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification. CoRR abs/2207.07189 (2022) - [i2]Dragi Kocev, Nikola Simidjievski, Ana Kostovska, Ivica Dimitrovski, Ziga Kokalj:
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021. CoRR abs/2208.03163 (2022) - 2021
- [j12]Aleksandar Jevremovic, Mladen D. Veinovic, Milan Cabarkapa, Marko Krstic, Ivan Chorbev, Ivica Dimitrovski, Nuno M. Garcia, Nuno Pombo, Milos Stojmenovic:
Keeping Children Safe Online With Limited Resources: Analyzing What is Seen and Heard. IEEE Access 9: 132723-132732 (2021) - 2020
- [e1]Vesna Dimitrova, Ivica Dimitrovski:
ICT Innovations 2020. Machine Learning and Applications - 12th International Conference, ICT Innovations 2020, Skopje, North Macedonia, September 24-26, 2020, Proceedings. Communications in Computer and Information Science 1316, Springer 2020, ISBN 978-3-030-62097-4 [contents]
2010 – 2019
- 2019
- [j11]Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev:
Web genre classification with methods for structured output prediction. Inf. Sci. 503: 551-573 (2019) - [c28]Bozhidar Stevanoski, Dragi Kocev, Aljaz Osojnik, Ivica Dimitrovski, Saso Dzeroski:
Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. DS 2019: 186-201 - 2018
- [j10]Katarina Trojachanec, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska:
Longitudinal Brain MRI Retrieval for Alzheimer's Disease Using Different Temporal Information. IEEE Access 6: 9703-9712 (2018) - [j9]Dario Stojanovski, Gjorgji Strezoski, Gjorgji Madjarov, Ivica Dimitrovski, Ivan Chorbev:
Deep neural network architecture for sentiment analysis and emotion identification of Twitter messages. Multim. Tools Appl. 77(24): 32213-32242 (2018) - 2017
- [j8]Gjorgji Madjarov, Dejan Gjorgjevikj, Ivica Dimitrovski, Saso Dzeroski:
Erratum to: The use of data-derived label hierarchies in multi-label classification. J. Intell. Inf. Syst. 48(2): 475-476 (2017) - [j7]Ivan Kitanovski, Gjorgji Strezoski, Ivica Dimitrovski, Gjorgji Madjarov, Suzana Loskovska:
Multimodal medical image retrieval system. Multim. Tools Appl. 76(2): 2955-2978 (2017) - [c27]Katarina Trojacanec, Slobodan Kalajdziski, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska:
Image Retrieval for Alzheimer's Disease Based on Brain Atrophy Pattern. ICT Innovations 2017: 165-175 - [c26]Ivica Obadic, Gjorgji Madjarov, Ivica Dimitrovski, Dejan Gjorgjevikj:
Addressing Item-Cold Start Problem in Recommendation Systems Using Model Based Approach and Deep Learning. ICT Innovations 2017: 176-185 - [c25]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Image Representation, Annotation and Retrieval with Predictive Clustering Trees. ECML/PKDD (3) 2017: 363-367 - [i1]Ivica Obadic, Gjorgji Madjarov, Ivica Dimitrovski, Dejan Gjorgjevikj:
Addressing Item-Cold Start Problem in Recommendation Systems using Model Based Approach and Deep Learning. CoRR abs/1706.05730 (2017) - 2016
- [j6]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Improving bag-of-visual-words image retrieval with predictive clustering trees. Inf. Sci. 329: 851-865 (2016) - [j5]Gjorgji Madjarov, Dejan Gjorgjevikj, Ivica Dimitrovski, Saso Dzeroski:
The use of data-derived label hierarchies in multi-label classification. J. Intell. Inf. Syst. 47(1): 57-90 (2016) - [c24]Gjorgji Strezoski, Dario Stojanovski, Ivica Dimitrovski, Gjorgji Madjarov:
Hand Gesture Recognition Using Deep Convolutional Neural Networks. ICT Innovations 2016: 49-58 - [c23]Ivan Kitanovski, Katarina Trojacanec, Ivica Dimitrovski, Suzana Loshkovska:
Improving Medical Cases Retrieval Using an Online Fact Database. ICT Innovations 2016: 203-210 - [c22]Dario Stojanovski, Gjorgji Strezoski, Gjorgji Madjarov, Ivica Dimitrovski:
Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis. SemEval@NAACL-HLT 2016: 149-154 - 2015
- [j4]Ivica Dimitrovski, Dragi Kocev, Ivan Kitanovski, Suzana Loskovska, Saso Dzeroski:
Improved medical image modality classification using a combination of visual and textual features. Comput. Medical Imaging Graph. 39: 14-26 (2015) - [c21]Katarina Trojacanec, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska:
Content Based Retrieval of MRI Based on Brain Structure Changes in Alzheimer's Disease. BIOIMAGING 2015: 13-22 - [c20]Katarina Trojacanec, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska:
Medical Image Retrieval for Alzheimer's Disease Using Structural MRI Measures. BIOSTEC (Selected Papers) 2015: 126-141 - [c19]Gjorgji Strezoski, Dario Stojanovski, Ivica Dimitrovski, Gjorgji Madjarov:
Content Based Image Retrieval for Large Medical Image Corpus. HAIS 2015: 714-725 - [c18]Dario Stojanovski, Gjorgji Strezoski, Gjorgji Madjarov, Ivica Dimitrovski:
Twitter Sentiment Analysis Using Deep Convolutional Neural Network. HAIS 2015: 726-737 - [c17]Katarina Trojacanec, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska:
Medical Image Retrieval for Alzheimer's Disease Using Data from Multiple Time Points. ICT Innovations 2015: 215-224 - [c16]Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev:
Web Genre Classification via Hierarchical Multi-label Classification. IDEAL 2015: 9-17 - 2014
- [j3]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees. Pattern Recognit. Lett. 38: 38-45 (2014) - [c15]Ivica Dimitrovski, Gjorgji Madjarov, Dragi Kocev, Petre Lameski:
Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data. CLEF (Working Notes) 2014: 705-714 - [c14]Ivan Kitanovski, Ivica Dimitrovski, Gjorgji Madjarov, Suzana Loskovska:
Medical Image Retrieval Using Multimodal Data. Discovery Science 2014: 144-155 - [c13]Katarina Trojacanec, Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska:
New Representation of Information Extracted from MRI Volumes Applied to Alzheimer's Disease. ICT Innovations 2014: 249-258 - [c12]Gjorgji Madjarov, Ivica Dimitrovski, Dejan Gjorgjevikj, Saso Dzeroski:
Evaluation of Different Data-Derived Label Hierarchies in Multi-label Classification. NFMCP 2014: 19-37 - 2013
- [c11]Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska:
FCSE at Medical Tasks of ImageCLEF 2013. CLEF (Working Notes) 2013 - [c10]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Fast and Scalable Image Retrieval Using Predictive Clustering Trees. Discovery Science 2013: 33-48 - [c9]Ivan Kitanovski, Katarina Trojacanec, Ivica Dimitrovski, Suzana Loskovska:
Merging words and concepts for medical articles retrieval. OAIR 2013: 25-28 - 2012
- [j2]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Hierarchical classification of diatom images using ensembles of predictive clustering trees. Ecol. Informatics 7(1): 19-29 (2012) - [c8]Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska:
FCSE at ImageCLEF 2012: Evaluating Techniques for Medical Image Retrieval. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c7]Ivan Kitanovski, Katarina Trojacanec, Ivica Dimitrovski, Suzana Loskovska:
Multimodal Medical Image Retrieval. ICT Innovations 2012: 81-89 - 2011
- [j1]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Hierarchical annotation of medical images. Pattern Recognit. 44(10-11): 2436-2449 (2011) - [c6]Ivan Kitanovski, Katarina Trojacanec, Ivica Dimitrovski, Suzana Loskovska:
Modality Classification Using Texture Features. ICT Innovations 2011: 189-198 - 2010
- [c5]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c4]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification. ICPR Contests 2010: 152-161
2000 – 2009
- 2009
- [c3]Ivica Dimitrovski, Suzana Loskovska, Ivan Chorbev:
Efficient Content-based Image Retrieval using Support Vector Machines for Feature Aggregation. SCSS 2009: 319-324 - [c2]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. CLEF (2) 2009: 231-238 - [c1]Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski:
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. CLEF (Working Notes) 2009
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last updated on 2024-10-07 22:18 CEST by the dblp team
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