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Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs


Sep 09, 2020
Gilles Vandewiele, Bram Steenwinckel, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae

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Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling


Jan 15, 2020
Gilles Vandewiele, Isabelle Dehaene, György Kovács, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester

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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning


Dec 05, 2017
Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

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* 10 pages main text + 10 pages supplementary. Published at NIPS 2017 

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VIME: Variational Information Maximizing Exploration


Jan 27, 2017
Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

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* Published in Advances in Neural Information Processing Systems 29 (NIPS), pages 1109-1117 

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Positive blood culture detection in time series data using a BiLSTM network


Dec 03, 2016
Leen De Baets, Joeri Ruyssinck, Thomas Peiffer, Johan Decruyenaere, Filip De Turck, Femke Ongenae, Tom Dhaene

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GENESIM: genetic extraction of a single, interpretable model


Nov 17, 2016
Gilles Vandewiele, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke

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* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines


Mar 03, 2016
Rein Houthooft, Filip De Turck

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