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Journal Articles
- 2021
[j9]Yong Zhao
, Le Yang, Ercheng Pei, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Longfei Li, Dongmei Jiang, Hichem Sahli:
Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN. Comput. Graph. Forum 40(6): 47-61 (2021)- [j8]Abel Díaz Berenguer, Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Hichem Sahli:
Context-Aware Human Trajectories Prediction via Latent Variational Model. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1876-1889 (2021) - 2020
- [j7]Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Hichem Sahli:
SVRG-MKL: A Fast and Scalable Multiple Kernel Learning Solution for Features Combination in Multi-Class Classification Problems. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1710-1723 (2020) - 2019
- [j6]Abel Díaz Berenguer, Meshia Cédric Oveneke, Habib-Ur-Rehman Khalid, Mitchel Alioscha-Pérez, André Bourdoux, Hichem Sahli:
GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition. IEEE Access 7: 137122-137135 (2019) - [j5]Ercheng Pei, Dongmei Jiang, Mitchel Alioscha-Pérez, Hichem Sahli:
Continuous affect recognition with weakly supervised learning. Multim. Tools Appl. 78(14): 19387-19412 (2019) - 2016
- [j4]Mitchel Alioscha-Pérez, Carine Benadiba, Katty Goossens, Sandor Kasas, Giovanni Dietler, Ronnie Willaert, Hichem Sahli:
A Robust Actin Filaments Image Analysis Framework. PLoS Comput. Biol. 12(8) (2016) - 2014
- [j3]Mitchel Alioscha-Pérez, Ronnie Willaert, Hichem Sahli:
A Segmentation Framework for phase Contrast and Fluorescence microscopy Images. Int. J. Pattern Recognit. Artif. Intell. 28(7) (2014) - [j2]Mitchel Alioscha-Pérez, Hichem Sahli:
Efficient Learning of Spatial Patterns with Multi-Scale Conditional Random Fields for Region-Based Classification. Remote. Sens. 6(8): 6727-6764 (2014) - 2012
- [j1]Mitchel Alioscha-Pérez, Hichem Sahli, Isabel Gonzalez, Alberto Taboada-Crispí:
Sparse and Non-sparse Multiple Kernel Learning for Recognition. Computación y Sistemas 16(2) (2012)
Conference and Workshop Papers
- 2020
- [c4]Mitchel Alioscha-Pérez, Abel Díaz Berenguer, Ercheng Pei, Meshia Cédric Oveneke, Hichem Sahli:
Neural architecture search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards. ICAIIC 2020: 276-281 - 2019
- [c3]Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Abel Díaz Berenguer, Cédric Bertrand, Hichem Sahli:
End-To-End Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries. BNAIC/BENELEARN 2019 - [c2]Abel Díaz Berenguer, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Hichem Sahli:
Paired Supervised Learning and Unsupervised Pretraining of CNN-Architecture for Violence Detection in Videos. BNAIC/BENELEARN 2019 - 2013
- [c1]Mitchel Alioscha-Pérez, Ronnie Willaert, Helene Tournu, Patrick Van Dijck, Hichem Sahli:
Oriented Polar Snakes for Phase Contrast Cell Images Segmentation. CIARP (2) 2013: 25-32
Informal and Other Publications
- 2020
- [i2]Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke:
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR abs/2011.11719 (2020) - 2016
- [i1]Meshia Cédric Oveneke, Mitchel Aliosha-Pérez, Yong Zhao, Dongmei Jiang, Hichem Sahli:
Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization. CoRR abs/1611.09232 (2016)
Coauthor Index
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