Sparse and Non-sparse Multiple Kernel Learning for Recognition. - Mitchel Alioscha-Pérez; Hichem Sahli; Isabel Gonzalez; Alberto Taboada-Crispí (Computación y Sistemas, 2012)

Oriented Polar Snakes for Phase Contrast Cell Images Segmentation. - Mitchel Alioscha-Pérez; Ronnie Willaert; Helene Tournu; Patrick Van Dijck; Hichem Sahli (CIARP (2), 2013)

A Segmentation Framework for phase Contrast and Fluorescence microscopy Images. - Mitchel Alioscha-Pérez; Ronnie Willaert; Hichem Sahli (Int. J. Pattern Recognit. Artif. Intell., 2014)

Efficient Learning of Spatial Patterns with Multi-Scale Conditional Random Fields for Region-Based Classification. - Mitchel Alioscha-Pérez; Hichem Sahli (Remote. Sens., 2014)

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)

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)

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 (BNAIC/BENELEARN, 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 (BNAIC/BENELEARN, 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)

Continuous affect recognition with weakly supervised learning. - Ercheng Pei; Dongmei Jiang; Mitchel Alioscha-Pérez; Hichem Sahli (Multim. Tools Appl., 2019)

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 (ICAIIC, 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; et al. (CoRR, 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)

Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN. - Yong Zhao; Le Yang 009; Ercheng Pei; Meshia Cédric Oveneke; Mitchel Alioscha-Pérez; Longfei Li; Dongmei Jiang; Hichem Sahli (Comput. Graph. Forum, 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)