Cedric De Boom
Cedric De Boom
確認したメール アドレス: ugent.be - ホームページ
タイトル
引用先
引用先
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
1402016
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
652015
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 (12), 15385-15407, 2018
132018
Semantics-driven event clustering in Twitter feeds
C De Boom, S Van Canneyt, B Dhoedt
Making Sense Of Microposts 1395, 2-9, 2015
132015
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
72015
Robustifying the viterbi algorithm
C De Boom, J De Bock, A Van Camp, G De Cooman
European Workshop on Probabilistic Graphical Models, 160-175, 2014
62014
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
52018
Lazy evaluation of convolutional filters
S Leroux, S Bohez, C De Boom, E De Coninck, T Verbelen, ...
arXiv preprint arXiv:1605.08543, 2016
52016
Character-level recurrent neural networks in practice: comparing training and sampling schemes
C De Boom, T Demeester, B Dhoedt
Neural Computing and Applications 31 (8), 4001-4017, 2019
32019
Learning representations for tweets through word embeddings
C De Boom, S Van Canneyt, T Demeester, B Dhoedt
Benelearn, 2016
32016
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
22020
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
22018
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
22018
Learning to grasp from a single demonstration
P Van Molle, T Verbelen, E De Coninck, C De Boom, P Simoens, ...
arXiv preprint arXiv:1806.03486, 2018
22018
Efficiency Evaluation of Character-level RNN Training Schedules
C De Boom, S Leroux, S Bohez, P Simoens, T Demeester, B Dhoedt
arXiv preprint arXiv:1605.02486, 2016
22016
Structured output prediction for semantic perception in autonomous vehicles
R Houthooft, C De Boom, S Verstichel, F Ongenae, F De Turck
30th AAAI Conference on Artificial Intelligence (AAAI-16), 2016
22016
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
12019
Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks
C De Boom, S Van Laere, T Verbelen, B Dhoedt
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
12019
Deep active inference for state estimation by learning from demonstration
C De Boom, T Verbelen, B Dhoedt
CCS2018, Complexity from Cells to Consciousness: Free Energy, Integrated …, 2018
12018
Dynamic Narrowing of VAE Bottlenecks Using GECO and Regularization
C De Boom, S Wauthier, T Verbelen, B Dhoedt
arXiv preprint arXiv:2003.10901, 2020
2020
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