I. Dimitrovski

发表

ICT Innovations 2020. Machine Learning and Applications: 12th International Conference, ICT Innovations 2020, Skopje, North Macedonia, September 24–26, 2020, Proceedings

T. Washio, D. Ślęzak, Simone Diniz Junqueira Barbosa, 2020, ICT Innovations.

MAMMOGRAPHY IMAGE CLASSIFICATION USING TEXTURE FEATURES

I. Dimitrovski, Blagojce Jankulovski, Ivan Kitanovski, 2014 .

Hierarchical Classification of Diatom Images using Predictive Clustering Trees

S. Džeroski, D. Kocev, I. Dimitrovski, 2010 .

Hand Gesture Recognition Using Deep Convolutional Neural Networks

Gjorgji Madjarov, Ivica Dimitrovski, Dario Stojanovski, 2016, ICT Innovations.

WEB-BASED MEDICAL IMAGE RETRIEVAL SYSTEM

Ivica Dimitrovski, Suzana Loskovska, Dejan Gorgevik, 2008 .

TWEETVIZ : TWITTER DATA VISUALIZATION

Gjorgji Madjarov, I. Dimitrovski, Dario Stojanovski, 2014 .

Efficient Content-based Image Retrieval Using Weighted Feature Aggregation Scheme

I. Dimitrovski, Blagojce Jankulovski, S. Loskovska, 2009 .

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

D. Kocev, I. Dimitrovski, N. Simidjievski, 2022, 2207.07189.

Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021

D. Kocev, Žiga Kokalj, I. Dimitrovski, 2022, ArXiv.

Deep neural network architecture for sentiment analysis and emotion identification of Twitter messages

Gjorgji Madjarov, Gjorgji Strezoski, I. Chorbev, 2018, Multimedia Tools and Applications.

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

D. Kocev, I. Dimitrovski, N. Simidjievski, 2022, ISPRS Journal of Photogrammetry and Remote Sensing.

Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees

Saso Dzeroski, Ivica Dimitrovski, Suzana Loskovska, 2014, Pattern Recognit. Lett..

Longitudinal Brain MRI Retrieval for Alzheimer’s Disease Using Different Temporal Information

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loshkovska, 2018, IEEE Access.

Medical Image Retrieval for Alzheimer's Disease Using Data from Multiple Time Points

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska, 2015, ICT Innovations.

Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis

Gjorgji Madjarov, Ivica Dimitrovski, Dario Stojanovski, 2016, *SEMEVAL.

Twitter Sentiment Analysis Using Deep Convolutional Neural Network

Gjorgji Madjarov, Ivica Dimitrovski, Dario Stojanovski, 2015, HAIS.

Hierarchical annotation of medical images

Saso Dzeroski, Ivica Dimitrovski, Suzana Loskovska, 2011, Pattern Recognit..

Keeping Children Safe Online With Limited Resources: Analyzing What is Seen and Heard

Nuno Pombo, Ivica Dimitrovski, Aleksandar Jevremovic, 2021, IEEE Access.

AiTLAS: Artificial Intelligence Toolbox for Earth Observation

Nikola Simidjievski, Ivan Kitanovski, Ivica Dimitrovski, 2022, Remote. Sens..

The use of data-derived label hierarchies in multi-label classification

S. Džeroski, Gjorgji Madjarov, D. Gjorgjevikj, 2016, Journal of Intelligence and Information Systems.

Web genre classification with methods for structured output prediction

Gjorgji Madjarov, Ivica Dimitrovski, Dragi Kocev, 2019, Inf. Sci..

Evaluation of Different Data-Derived Label Hierarchies in Multi-label Classification

Saso Dzeroski, Dejan Gjorgjevikj, Gjorgji Madjarov, 2014, NFMCP.

Improving Medical Cases Retrieval Using an Online Fact Database

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska, 2016, ICT Innovations.

Content Based Image Retrieval for Large Medical Image Corpus

Gjorgji Madjarov, Ivica Dimitrovski, Dario Stojanovski, 2015, HAIS.

Multimodal medical image retrieval system

Gjorgji Madjarov, Ivan Kitanovski, Ivica Dimitrovski, 2016, Multimedia Tools and Applications.

Hierarchical classification of diatom images using ensembles of predictive clustering trees

Saso Dzeroski, Ivica Dimitrovski, Suzana Loskovska, 2012, Ecol. Informatics.

Medical Image Retrieval for Alzheimer's Disease Using Structural MRI Measures

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska, 2015, BIOSTEC.

New Representation of Information Extracted from MRI Volumes Applied to Alzheimer's Disease

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska, 2014, ICT Innovations.

Content Based Retrieval of MRI Based on Brain Structure Changes in Alzheimer's Disease

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska, 2015, BIOIMAGING.

Improved medical image modality classification using a combination of visual and textual features

Sašo Džeroski, Ivan Kitanovski, Ivica Dimitrovski, 2015, Comput. Medical Imaging Graph..

In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification

D. Kocev, I. Dimitrovski, N. Simidjievski, 2023, arXiv.org.

Web Genre Classification via Hierarchical Multi-label Classification

Gjorgji Madjarov, Ivica Dimitrovski, Dragi Kocev, 2015, IDEAL.

FCSE at Medical Tasks of ImageCLEF 2013

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska, 2013, CLEF.

Merging words and concepts for medical articles retrieval

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska, 2013, OAIR.

Multimodal Medical Image Retrieval

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska, 2012, ICT Innovations.

FCSE at ImageCLEF 2012: Evaluating Techniques for Medical Image Retrieval

Ivan Kitanovski, Ivica Dimitrovski, Suzana Loskovska, 2012, CLEF.

Improving bag-of-visual-words image retrieval with predictive clustering trees

Saso Dzeroski, Ivica Dimitrovski, Suzana Loskovska, 2016, Inf. Sci..

COMPARISON OF AUTOMATIC SHOT BOUNDARY DETECTION ALGORITHMS BASED ON COLOR , EDGES AND WAVELETS

Dejan Gjorgjevikj, Ivica Dimitrovski, Suzana Loskovska, 2009 .

Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification

Saso Dzeroski, Ivica Dimitrovski, Suzana Loskovska, 2010, ICPR Contests.

Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees

Saso Dzeroski, Ivica Dimitrovski, Suzana Loskovska, 2010, CLEF.

In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification

D. Kocev, I. Dimitrovski, N. Simidjievski, 2024, IEEE Geoscience and Remote Sensing Letters.

Crop Type Prediction Across Countries and Years: Slovenia, Denmark and the Netherlands

D. Kocev, Žiga Kokalj, I. Dimitrovski, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Emotion identification in FIFA world cup tweets using convolutional neural network

Ivica Dimitrovski, Dario Stojanovski, Gjorgji Strezoski, 2015, 2015 11th International Conference on Innovations in Information Technology (IIT).

U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery

I. Dimitrovski, Ivan Kitanovski, Vlatko Spasev, 2024, Remote Sensing.

List of Late Breaking Papers accepted for poster presentation at the 17 th International Conference on Discovery Science (DS 2014)

Bidyut Kr. Patra, S. Džeroski, D. Kocev, 2014 .