Representation learning for very short texts using weighted word embedding aggregation C De Boom, S Van Canneyt, T Demeester, B Dhoedt Pattern Recognition Letters 80, 150-156, 2016 | 264 | 2016 |
Learning semantic similarity for very short texts C De Boom, S Van Canneyt, S Bohez, T Demeester, B Dhoedt 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1229-1234, 2015 | 108 | 2015 |
Learning generative state space models for active inference O Çatal, S Wauthier, C De Boom, T Verbelen, B Dhoedt Frontiers in Computational Neuroscience 14, 574372, 2020 | 46 | 2020 |
Learning perception and planning with deep active inference O Çatal, T Verbelen, J Nauta, C De Boom, B Dhoedt ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 42 | 2020 |
Active vision for robot manipulators using the free energy principle T Van de Maele, T Verbelen, O Çatal, C De Boom, B Dhoedt Frontiers in neurorobotics 15, 642780, 2021 | 31 | 2021 |
Semantics-driven event clustering in Twitter feeds C De Boom, S Van Canneyt, B Dhoedt Making sense of microposts 1395, 2-9, 2015 | 29 | 2015 |
Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales C De Boom, R Agrawal, S Hansen, E Kumar, R Yon, CW Chen, ... Multimedia Tools and Applications 77, 15385-15407, 2018 | 22 | 2018 |
Anomaly detection for autonomous guided vehicles using bayesian surprise O Çatal, S Leroux, C De Boom, T Verbelen, B Dhoedt 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 17 | 2020 |
Quantifying uncertainty of deep neural networks in skin lesion classification P Van Molle, T Verbelen, C De Boom, B Vankeirsbilck, J De Vylder, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019 | 14 | 2019 |
Rhythm, chord and melody generation for lead sheets using recurrent neural networks C De Boom, S Van Laere, T Verbelen, B Dhoedt Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 13 | 2020 |
Optimizing the popularity of Twitter messages through user categories R Lemahieu, S Van Canneyt, C De Boom, B Dhoedt 2015 IEEE international conference on data mining workshop (ICDMW), 1396-1401, 2015 | 13 | 2015 |
Deep active inference for autonomous robot navigation O Çatal, S Wauthier, T Verbelen, C De Boom, B Dhoedt Bridging AI and Cognitive Science (BAICS) Workshop 2020, 2020 | 11 | 2020 |
Learning to grasp from a single demonstration P Van Molle, T Verbelen, E De Coninck, C De Boom, P Simoens, ... IAS-15: The 15th International Conference on Intelligent Autonomous Systems, 2018 | 11 | 2018 |
Sigmoidal NMFD: convolutional NMF with saturating activations for drum mixture decomposition L Vande Veire, C De Boom, T De Bie Electronics 10 (3), 284, 2021 | 10 | 2021 |
Sleep: Model reduction in deep active inference ST Wauthier, O Çatal, C De Boom, T Verbelen, B Dhoedt Active Inference: First International Workshop, IWAI 2020, Co-located with …, 2020 | 10 | 2020 |
Character-level recurrent neural networks in practice: comparing training and sampling schemes C De Boom, T Demeester, B Dhoedt Neural Computing and Applications 31, 4001-4017, 2019 | 10 | 2019 |
Low-latency delivery of news-based video content J van der Hooft, D Pauwels, C De Boom, S Petrangeli, T Wauters, ... Proceedings of the 9th ACM Multimedia Systems Conference, 537-540, 2018 | 8 | 2018 |
Performance characterization of low-latency adaptive streaming from video portals J van der Hooft, C De Boom, S Petrangeli, T Wauters, F De Turck IEEE Access 6, 43039-43055, 2018 | 7 | 2018 |
An HTTP/2 push-based framework for low-latency adaptive streaming through user profiling J van der Hooft, C De Boom, S Petrangeli, T Wauters, F De Turck NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, 1-5, 2018 | 7 | 2018 |
Lazy evaluation of convolutional filters S Leroux, S Bohez, C De Boom, E De Coninck, T Verbelen, ... International Conference on Machine Learning: Workshop on Device Intelligence, 2016 | 7 | 2016 |