| Embedded local feature selection within mixture of experts B Peralta, A Soto Information Sciences 269, 176-187, 2014 | 77 | 2014 |
| Spatio-temporal prediction of Baltimore crime events using CLSTM neural networks N Esquivel, O Nicolis, B Peralta, J Mateu IEEE Access 8, 209101-209112, 2020 | 40 | 2020 |
| Coming to grips with age prediction on imbalanced multimodal community question answering data A Figueroa, B Peralta, O Nicolis Information 12 (2), 48, 2021 | 17 | 2021 |
| Automatic feature selection for desertion and graduation prediction: A chilean case B Peralta, T Poblete, L Caro 2016 35th International Conference of the Chilean Computer Science Society …, 2016 | 16 | 2016 |
| Enhancing k-means using class labels B Peralta, P Espinace, A Soto Intelligent Data Analysis 17 (6), 1023-1039, 2013 | 16 | 2013 |
| Space-Time Prediction of PM2.5 Concentrations in Santiago de Chile Using LSTM Networks B Peralta, T Sepúlveda, O Nicolis, L Caro Applied Sciences 12 (22), 11317, 2022 | 13 | 2022 |
| Predicting cardiovascular disease by combining optimal feature selection methods with machine learning MR Segura, O Nicolis, BP Márquez, JC Azócar 2020 39th international conference of the chilean computer science society …, 2020 | 11 | 2020 |
| Reconocimiento biométrico de audio y rostro: un sistema viable de identificación MA Carrasco, R Portugal, B Peralta Pontificia Universidad Católica de Chile Departamento de Ciencia de la …, 2006 | 11 | 2006 |
| Outlier vehicle trajectory detection using deep autoencoders in Santiago, Chile B Peralta, R Soria, O Nicolis, F Ruggeri, L Caro, A Bronfman Sensors 23 (3), 1440, 2023 | 10 | 2023 |
| Co-training for visual object recognition based on self-supervised models using a cross-entropy regularization G Díaz, B Peralta, L Caro, O Nicolis Entropy 23 (4), 423, 2021 | 10 | 2021 |
| Mixture of experts with entropic regularization for data classification B Peralta, A Saavedra, L Caro, A Soto Entropy 21 (2), 190, 2019 | 10 | 2019 |
| Crime level prediction using stacked maps with deep convolutional autoencoder N Esquivel, B Peralta, O Nicolis 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering …, 2019 | 7 | 2019 |
| A proposal for supervised clustering with Dirichlet Process using labels B Peralta, A Caro, A Soto Pattern Recognition Letters 80, 52-57, 2016 | 7 | 2016 |
| Spatio-temporal seismicity prediction in Chile using a multi-Column ConvLSTM AG Fuentes, O Nicolis, B Peralta, M Chiodi IEEE Access 10, 107402-107415, 2022 | 6 | 2022 |
| Gender identification from community question answering avatars B Peralta, A Figueroa, O Nicolis, Á Trewhela IEEE Access 9, 156701-156716, 2021 | 6 | 2021 |
| Visual recognition to access and analyze people density and flow patterns in indoor environments C Ruz, C Pieringer, B Peralta, I Lillo, P Espinace, R Gonzalez, B Wendt, ... 2015 IEEE Winter Conference on Applications of Computer Vision, 1-8, 2015 | 6 | 2015 |
| Predicting motor vehicle theft in Santiago de Chile using graph-convolutional LSTM N Esquivel, O Nicolis, BP Márquez 2020 39th International Conference of the Chilean Computer Science Society …, 2020 | 5 | 2020 |
| Adaptive hierarchical contexts for object recognition with conditional mixture of trees. B Peralta, P Espinace, A Soto BMVC, 1-11, 2012 | 5 | 2012 |
| ConvLSTM Neural Networks for seismic event prediction in Chile AG Fuentes, O Nicolis, B Peralta, M Chiodi 2021 IEEE XXVIII International Conference on Electronics, Electrical …, 2021 | 4 | 2021 |
| Gender screening on question-answering communities A Figueroa, B Peralta, O Nicolis Expert Systems with Applications 215, 119405, 2023 | 3 | 2023 |
