| 2017 | A Robust Minimal Learning Machine based on the M-Estimator. | Joo P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Jnior, Tommi Krkkinen |
| 2017 | The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. | Patrick O. Glauner, Manxing Du, Victor Paraschiv, Andrey Boytsov, Isabel Lopez Andrade, Jorge Augusto Meira, Petko Valtchev, Radu State |
| 2017 | Application of Tensor and Matrix Completion on Environmental Sensing Data. | Michalis Giannopoulos, Sofia Savvaki, Grigorios Tsagkatakis, Panagiotis Tsakalides |
| 2017 | A Deep Q-Learning Agent for L-Game with Variable Batch Training. | Petros Giannakopoulos, Yannis Cotronis |
| 2017 | Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders. | Sreejita Ghosh, Elizabeth Sarah Baranowski, Rick van Veen, Gert-Jan de Vries, Michael Biehl, Wiebke Arlt, Peter Tio, Kerstin Bunte |
| 2017 | Learning convolutional neural network to maximize Pos@Top performance measure. | Yanyan Geng, Ru-Ze Liang, Weizhi Li, Jingbin Wang, Gaoyuan Liang, Chenhao Xu, Jingyan Wang |
| 2017 | Latent variable analysis in hospital electric power demand using non-negative matrix factorization. | Diego Garca-Prez, Ignacio Daz Blanco, Daniel Prez, Abel Alberto Cuadrado Vega, Manuel Domnguez-Gonzlez |
| 2017 | Local Lyapunov Exponents of Deep RNN. | Claudio Gallicchio, Alessio Micheli, Luca Silvestri |
| 2017 | Randomized Machine Learning Approaches: Recent Developments and Challenges. | Claudio Gallicchio, Jos David Martn-Guerrero, Alessio Micheli, Emilio Soria-Olivas |
| 2017 | Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine. | Samuel Giatti Silva Filho, Roberto Zanetti Freire, Leandro dos Santos Coelho |
| 2017 | Outlining a simple and robust method for the automatic detection of EEG arousals. | Isaac Fernndez-Varela, Diego lvarez-Estvez, Elena Hernndez-Pereira, Vicente Moret-Bonillo |
| 2017 | Mutual information for improving the efficiency of the SCH algorithm. | Diego Fernndez-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown |
| 2017 | Collaborative filtering with neural networks. | Josef Feigl, Martin Bogdan |
| 2017 | Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. | Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martnez-Rego |
| 2017 | Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee. | Melanie Ducoffe, Frdric Precioso |
| 2017 | Fine-grained event learning of human-object interaction with LSTM-CRF. | Tuan Do, James Pustejovsky |
| 2017 | Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning. | Michele Donini, Nicol Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa |
| 2017 | Learning sparse models of diffusive graph signals. | Shuyu Dong, Dorina Thanou, Pierre-Antoine Absil, Pascal Frossard |
| 2017 | Uncertain photometric redshifts via combining deep convolutional and mixture density networks. | Antonio D'Isanto, Kai Lars Polsterer |
| 2017 | Hyper-spectral frequency selection for the classification of vegetation diseases. | Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering |
| 2017 | Extracting urban water usage habits from smart meter data: a functional clustering approach. | Nicolas Cheifetz, Allou Sam, Zineb Sabir, Anne-Claire Sandraz, Cdric Fliers |
| 2017 | Using degree constrained gravity null-models to understand the structure of journeys' networks in bicycle sharing systems. | Rmy Cazabet, Pierre Borgnat, Pablo Jensen |
| 2017 | Efficient Neural-based patent document segmentation with Term Order Probabilities. | Danilo Silva de Carvalho, Minh-Le Nguyen |
| 2017 | Non-negative matrix factorization as a pre-processing tool for travelers temporal profiles clustering. | Lna Carel, Pierre Alquier |
| 2017 | Processing, mining and visualizing massive urban data. | Pierre Borgnat, Etienne Cme, Latifa Oukhellou |