| 2016 | On the analysis of feature selection techniques in a conjunctival hyperemia grading framework. | Mara Luisa Snchez Brea, Noelia Barreira-Rodrguez, Noelia Snchez-Maroo, Antonio Mosquera Gonzlez, Carlos Garca-Resa, Eva Yebra-Pimentel |
| 2016 | Machine learning for medical applications. | Vernica Boln-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurlio Campilho |
| 2016 | Unsupervised Cross-Subject BCI Learning and Classification using Riemannian Geometry. | Samaneh Nasiri Ghosheh Bolagh, Mohammad Bagher Shamsollahi, Christian Jutten, Marco Congedo |
| 2016 | A state-space model on interactive dimensionality reduction. | Ignacio Daz Blanco, Abel Alberto Cuadrado Vega, Michel Verleysen |
| 2016 | Informative data projections: a framework and two examples. | Tijl De Bie, Jefrey Lijffijt, Ral Santos-Rodrguez, Bo Kang |
| 2016 | Interpretability of machine learning models and representations: an introduction. | Adrien Bibal, Benot Frnay |
| 2016 | Efficient low rank approximation via alternating least squares for scalable kernel learning. | Piyush Bhardwaj, Harish Karnick |
| 2016 | Stochastic gradient estimate variance in contrastive divergence and persistent contrastive divergence. | Mathias Berglund |
| 2016 | Boosting face recognition via neural Super-Resolution. | Guillaume Berger, Clment Peyrard, Moez Baccouche |
| 2016 | Deep multi-task learning with evolving weights. | Soufiane Belharbi, Romain Hrault, Clment Chatelain, Sbastien Adam |
| 2016 | Genetic Algorithm with Novel Crossover, Selection and Health Check for Clustering. | Abul Hashem Beg, Md Zahidul Islam |
| 2016 | Visualizing stacked autoencoder language learning. | Trevor Barron, Matthew Whitehead |
| 2016 | Supervised quantum gate "teaching" for quantum hardware design. | Leonardo Banchi, Nicola Pancotti, Sougato Bose |
| 2016 | A reservoir activation kernel for trees. | Davide Bacciu, Claudio Gallicchio, Alessio Micheli |
| 2016 | Converting SVDD scores into probability estimates. | Meriem El Azami, Carole Lartizien, Stphane Canu |
| 2016 | Modelling of parameterized processes via regression in the model space. | Witali Aswolinskiy, Ren Felix Reinhart, Jochen J. Steil |
| 2016 | Challenges in Deep Learning. | Plamen Angelov, Alessandro Sperduti |
| 2016 | An Experiment in Pre-Emphasizing Diversified Deep Neural Classifiers. | Ricardo F. Alvear-Sandoval, Anbal R. Figueiras-Vidal |
| 2016 | Kernel based collaborative filtering for very large scale top-N item recommendation. | Fabio Aiolli, Mirko Polato |
| 2016 | neuro-percolation as a superposition of random-walks. | Gaetano Liborio Aiello |
| 2016 | How machine learning won the Higgs boson challenge. | Claire Adam-Bourdarios, Glen Cowan, Ccile Germain, Isabelle Guyon, Balzs Kgl, David Rousseau |
| 2016 | Differentiable piecewise-Bzier interpolation on Riemannian manifolds. | Pierre-Antoine Absil, Pierre-Yves Gousenbourger, Paul Striewski, Benedikt Wirth |
| 2016 | anomaly detection on spectrograms using data-driven and fixed dictionary representations. | Mina Abdel-Sayed, Daniel Duclos, Gilles Fa, Jrme Lacaille, Mathilde Mougeot |
| 2016 | Learning contextual affordances with an associative neural architecture. | Francisco Cruz, German Ignacio Parisi, Stefan Wermter |
| 2016 | Discriminative dimensionality reduction in kernel space. | Alexander Schulz, Barbara Hammer |