| An extensive experimental comparison of methods for multi-label learning G Madjarov, D Kocev, D Gjorgjevikj, S Džeroski Pattern recognition 45 (9), 3084-3104, 2012 | 949 | 2012 |
| A multi-class SVM classifier utilizing binary decision tree G Madjarov, D Gjorgjevikj, I Chorbev Informatica, 2009 | 298 | 2009 |
| Twitter sentiment analysis using deep convolutional neural network D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski Hybrid Artificial Intelligent Systems: 10th International Conference, HAIS …, 2015 | 87 | 2015 |
| Evaluation of different feature sets for gait recognition using skeletal data from Kinect B Dikovski, G Madjarov, D Gjorgjevikj 2014 37th International Convention on Information and communication …, 2014 | 79 | 2014 |
| Multi-class classification using support vector machines in decision tree architecture G Madzarov, D Gjorgjevikj IEEE EUROCON 2009, 288-295, 2009 | 64 | 2009 |
| Deep neural network architecture for sentiment analysis and emotion identification of Twitter messages D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski, I Chorbev Multimedia Tools and Applications 77, 32213-32242, 2018 | 55 | 2018 |
| Two stage architecture for multi-label learning G Madjarov, D Gjorgjevikj, S Džeroski Pattern Recognition 45 (3), 1019-1034, 2012 | 49 | 2012 |
| Hand gesture recognition using deep convolutional neural networks G Strezoski, D Stojanovski, I Dimitrovski, G Madjarov ICT Innovations 2016: Cognitive Functions and Next Generation ICT Systems, 49-58, 2018 | 39 | 2018 |
| Finki at semeval-2016 task 4: Deep learning architecture for twitter sentiment analysis D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski Proceedings of the 10th International workshop on semantic evaluation …, 2016 | 36 | 2016 |
| Multimodal medical image retrieval system I Kitanovski, G Strezoski, I Dimitrovski, G Madjarov, S Loskovska Multimedia Tools and Applications 76, 2955-2978, 2017 | 31 | 2017 |
| Web genre classification with methods for structured output prediction G Madjarov, V Vidulin, I Dimitrovski, D Kocev Information Sciences 503, 551-573, 2019 | 30 | 2019 |
| Stories for images-in-sequence by using visual and narrative components M Smilevski, I Lalkovski, G Madjarov ICT Innovations 2018. Engineering and Life Sciences: 10th International …, 2018 | 24 | 2018 |
| Tweetviz: Twitter data visualization D Stojanovski, I Dimitrovski, G Madjarov Proceedings of the data mining and data warehouses, 2014 | 24 | 2014 |
| Evaluation of distance measures for multi-class classification in binary svm decision tree G Madzarov, D Gjorgjevikj Artificial Intelligence and Soft Computing: 10th International Conference …, 2010 | 23 | 2010 |
| Efficient two stage voting architecture for pairwise multi-label classification G Madjarov, D Gjorgjevikj, T Delev AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint …, 2011 | 22 | 2011 |
| Emotion identification in FIFA world cup tweets using convolutional neural network D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski 2015 11th International Conference on Innovations in Information Technology …, 2015 | 20 | 2015 |
| Maestra at lifeclef 2014 plant task: Plant identification using visual data I Dimitrovski, G Madjarov, D Kocev, P Lameski CLEF (Working Notes), 2014 | 18 | 2014 |
| The use of data-derived label hierarchies in multi-label classification G Madjarov, D Gjorgjevikj, I Dimitrovski, S Džeroski Journal of Intelligent Information Systems 47, 57-90, 2016 | 16 | 2016 |
| Evaluation of different data-derived label hierarchies in multi-label classification G Madjarov, I Dimitrovski, D Gjorgjevikj, S Džeroski International Workshop on New Frontiers in Mining Complex Patterns, 19-37, 2014 | 14 | 2014 |
| Addressing item-cold start problem in recommendation systems using model based approach and deep learning I Obadić, G Madjarov, I Dimitrovski, D Gjorgjevikj ICT Innovations 2017: Data-Driven Innovation. 9th International Conference …, 2017 | 13 | 2017 |
Dejan GjorgjevikjSs. Cyril and Methodius University, Skopje, Faculty of Computer Science and EngineeringVerified email at finki.ukim.mk
