| 2016 | Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints. | Luca Oneto, Nicol Navarin, Michele Donini, Fabio Aiolli, Davide Anguita |
| 2016 | Multicriteria optimized MLP for imbalanced learning. | Paavo Nieminen, Tommi Krkkinen |
| 2016 | Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics. | Martin Mundt, Sebastian Blaes, Thomas Burwick |
| 2016 | Data complexity measures for analyzing the effect of SMOTE over microarrays. | Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2016 | A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases. | Victor Mocioiu, Nuno Miguel Pedrosa de Barros, Sandra Ortega-Martorell, Johannes Slotboom, Urspeter Knecht, Carles Ars, Alfredo Vellido, Margarida Juli-Sap |
| 2016 | Activity recognition with echo state networks using 3D body joints and objects category. | Luiza Mici, Xavier Hinaut, Stefan Wermter |
| 2016 | Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness. | Diego P. P. Mesquita, Antnio C. Arajo Neto, Jose Queiroz Neto, Joo P. P. Gomes, Leonardo Ramos Rodrigues |
| 2016 | K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values. | Diego P. P. Mesquita, Joo P. P. Gomes, Leonardo Ramos Rodrigues |
| 2016 | Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data. | Fernando Mateo, Emilio Soria-Olivas, Marcelino Martnez-Sober, Maria Tellez-Plaza, Juan Gmez-Sanchs, Josep Redon |
| 2016 | Extending a two-variable mean to a multi-variable mean. | Estelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil |
| 2016 | Human detection and classification of landing sites for search and rescue drones. | Felipe Martins, Marc de Groot, Xeryus Stokkel, Marco A. Wiering |
| 2016 | Physics and Machine Learning: Emerging Paradigms. | Jos David Martn-Guerrero, Paulo J. G. Lisboa, Alfredo Vellido |
| 2016 | Localized discriminative Gaussian process latent variable model for text-dependent speaker verification. | Nooshin Maghsoodi, Hossein Sameti, Hossein Zeinali |
| 2016 | Choosing the best algorithm for an incremental on-line learning task. | Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2016 | Study on the loss of information caused by the "positivation" of graph kernels for 3D shapes. | Galle Loosli |
| 2016 | Memory management for data streams subject to concept drift. | Pierre-Xavier Loeffel, Christophe Marsala, Marcin Detyniecki |
| 2016 | Policy-gradient methods for Decision Trees. | Aurlia Lon, Ludovic Denoyer |
| 2016 | Fast in-memory spectral clustering using a fixed-size approach. | Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens |
| 2016 | Grounding the experience of a visual field through sensorimotor contingencies. | Alban Laflaquire, Michal Garcia Ortiz, Ahmed Faraz Khan |
| 2016 | Comparison of Four- and Six-Layered Configurations for Deep Network Pretraining. | Tommi Krkkinen, Jan Hnninen |
| 2016 | Spatio-temporal feature selection for black-box weather forecasting. | Zahra Karevan, Johan A. K. Suykens |
| 2016 | Maximum likelihood learning of RBMs with Gaussian visible units on the Stiefel manifold. | Ryo Karakida, Masato Okada, Shun-ichi Amari |
| 2016 | Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. | Christoph Kding, Erik Rodner, Alexander Freytag, Joachim Denzler |
| 2016 | Adaptive dissimilarity weighting for prototype-based classification optimizing mixtures of dissimilarities. | Marika Kaden, David Nebel, Thomas Villmann |
| 2016 | A new penalisation term for image retrieval in clique neural networks. | Romain Huet, Nicolas Courty, Sbastien Lefvre |