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
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
1022016
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
502015
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
112018
Semantics-driven event clustering in Twitter feeds
C De Boom, S Van Canneyt, B Dhoedt
Making Sense Of Microposts 1395, 2-9, 2015
102015
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
52015
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
52014
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
42018
Lazy evaluation of convolutional filters
S Leroux, S Bohez, C De Boom, E De Coninck, T Verbelen, ...
arXiv preprint arXiv:1605.08543, 2016
32016
Learning representations for tweets through word embeddings
C De Boom, S Van Canneyt, T Demeester, B Dhoedt
Benelearn, 2016
32016
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
22019
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
12018
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
12018
Structured output prediction for semantic perception in autonomous vehicles
R Houthooft, C De Boom, S Verstichel, F Ongenae, F De Turck
Thirtieth AAAI Conference on Artificial Intelligence, 2016
12016
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
12016
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
2019
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
2018
Representation learning for symbolic sequences
C De Boom
Ghent University, 2018
2018
UGent Institutional Repository
B Verbraeken, J Hullaert, J van Guyse
BULLETIN OF THE SCHOOL OF ORIENTAL AND AFRICAN STUDIES-UNIVERSITY OF LONDON …, 2017
2017
The merits of imprecision: algorithms for state sequence estimation in imprecise hidden Markov models
C De Boom
2014
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