Mitchel Alioscha-Pérez

According to our database, Mitchel Alioscha-Pérez authored at least 15 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Context-Aware Human Trajectories Prediction via Latent Variational Model.

Abel Díaz Berenguer, Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Hichem Sahli

IEEE Trans. Circuits Syst. Video Technol., 2021

Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN.

Yong Zhao, Le Yang, Ercheng Pei, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Longfei Li, Dongmei Jiang, Hichem Sahli

Comput. Graph. Forum, 2021

2020

SVRG-MKL: A Fast and Scalable Multiple Kernel Learning Solution for Features Combination in Multi-Class Classification Problems.

Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Hichem Sahli

IEEE Trans. Neural Networks Learn. Syst., 2020

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging.

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

CoRR, 2020

Neural architecture search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards.

Mitchel Alioscha-Pérez, Abel Díaz Berenguer, Ercheng Pei, Meshia Cédric Oveneke, Hichem Sahli

Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

2019

Continuous affect recognition with weakly supervised learning.

Ercheng Pei, Dongmei Jiang, Mitchel Alioscha-Pérez, Hichem Sahli

Multim. Tools Appl., 2019

GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition.

Abel Díaz Berenguer, Meshia Cédric Oveneke, Habib-Ur-Rehman Khalid, Mitchel Alioscha-Pérez, André Bourdoux, Hichem Sahli

IEEE Access, 2019

Paired Supervised Learning and Unsupervised Pretraining of CNN-Architecture for Violence Detection in Videos.

Abel Díaz Berenguer, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Hichem Sahli

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

End-To-End Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries.

Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Abel Díaz Berenguer, Cédric Bertrand, Hichem Sahli

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2016

A Robust Actin Filaments Image Analysis Framework.

Mitchel Alioscha-Pérez, Carine Benadiba, Katty Goossens, Sandor Kasas, Giovanni Dietler, Ronnie Willaert, Hichem Sahli

PLoS Comput. Biol., 2016

Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization.

Meshia Cédric Oveneke, Mitchel Aliosha-Pérez, Yong Zhao, Dongmei Jiang, Hichem Sahli

CoRR, 2016

2014

Efficient Learning of Spatial Patterns with Multi-Scale Conditional Random Fields for Region-Based Classification.

Mitchel Alioscha-Pérez, Hichem Sahli

Remote. Sens., 2014

A Segmentation Framework for phase Contrast and Fluorescence microscopy Images.

Mitchel Alioscha-Pérez, Ronnie Willaert, Hichem Sahli

Int. J. Pattern Recognit. Artif. Intell., 2014

2013

Oriented Polar Snakes for Phase Contrast Cell Images Segmentation.

Mitchel Alioscha-Pérez, Ronnie Willaert, Helene Tournu, Patrick Van Dijck, Hichem Sahli

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012

Sparse and Non-sparse Multiple Kernel Learning for Recognition.

Mitchel Alioscha-Pérez, Hichem Sahli, Isabel Gonzalez, Alberto Taboada-Crispí

Computación y Sistemas, 2012