| Learning from evolving video streams in a multi-camera scenario S Khoshrou, JS Cardoso, LF Teixeira Machine Learning 100, 609-633, 2015 | 15 | 2015 |
| Confidence based gating of colour features for face authentication MT Sadeghi, S Khoshrou, J Kittler Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague …, 2007 | 14 | 2007 |
| SVM-based selection of colour space experts for face authentication MT Sadeghi, S Khoshrou, J Kittler Advances in Biometrics: International Conference, ICB 2007, Seoul, Korea …, 2007 | 12 | 2007 |
| Colour Feature Selection for Face Authentication. M Sadeghi, S Khoshrou, J Kittler MVA 7, 49-52, 2007 | 7 | 2007 |
| Active learning from video streams in a multi-camera scenario S Khoshrou, JS Cardoso, LF Teixeira 2014 22nd International Conference on Pattern Recognition, 1248-1253, 2014 | 6 | 2014 |
| Application-specific traffic anomaly detection using universal background model H Alizadeh, S Khoshrou, A Zúquete Proceedings of the 2015 ACM International Workshop on International Workshop …, 2015 | 5 | 2015 |
| Active mining of parallel video streams S Khoshrou, JS Cardoso, LF Teixeira arXiv preprint arXiv:1405.3382, 2014 | 5 | 2014 |
| PS3: Partition-based skew-specialized sampling for batch mode active learning in imbalanced text data RM Fajri, S Khoshrou, R Peharz, M Pechenizkiy Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 3 | 2021 |
| ViDi: descriptive visual data clustering as radiologist assistant in COVID-19 streamline diagnostic S Ravi, S Khoshrou, M Pechenizkiy arXiv preprint arXiv:2011.14871, 2020 | 3 | 2020 |
| Feature Importance for Clustering G Nápoles, N Griffioen, S Khoshrou, Ç Güven Iberoamerican Congress on Pattern Recognition, 31-45, 2023 | 1 | 2023 |
| Supervised Human-Guided Data Exploration E Oikarinen, K Puolamäki, S Khoshrou, M Pechenizkiy Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 1 | 2019 |
| Adaptive Long-Term Ensemble Learning from Multiple High-Dimensional Time-Series S Khoshrou, M Pechenizkiy Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019 | 1 | 2019 |
| Spatio-temporal fusion for learning of regions of interests over multiple video streams S Khoshrou, JS Cardoso, E Granger, LF Teixeira Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015 | 1 | 2015 |
| KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering I Ni'mah, S Khoshrou, V Menkovski, M Pechenizkiy arXiv preprint arXiv:2310.19650, 2023 | | 2023 |
| Speeding Things Up. Can Explainability Improve Human Learning? J Mannmeusel, M Rothfelder, S Khoshrou Explainable Artificial Intelligence First World Conference, xAI 2023, Lisbon …, 2023 | | 2023 |
| MDL-based Development of Ensembles with Active Learning over Evolving Data Streams S Khoshrou, M Pechenizkiy | | 2018 |
| Towards Never-Ending Learning From Parallel Time-Series S Khoshrou, JS Cardoso NIPS Time Series Workshop, 2016 | | 2016 |
| Learning in evolving video streams S Khoshrou PQDT-Global, 2016 | | 2016 |
| Evaluation of different incremental learning methods for video surveillance scenarios J Cardoso, S Khoshrou, L Teixeira | | 2012 |
| Color feature selection for unconstrained iris recognition J Cardoso, AF Sequeira, S Khoshrou | | 2012 |
Jaime CardosoFull Professor at Faculty of Engineering, University of Porto; Researcher, INESC TECVerified email at fe.up.pt
