| Wind speed forecasting using spatio-temporal indicators O Ohashi, L Torgo ECAI 2012, 975-980, 2012 | 41 | 2012 |
| A machine-learning approach to distinguish passengers and drivers reading while driving R Torres, O Ohashi, G Pessin Sensors 19 (14), 3174, 2019 | 38 | 2019 |
| A deep learning approach to detect distracted drivers using a mobile phone R Torres, O Ohashi, E Carvalho, G Pessin Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 30 | 2017 |
| Spatial interpolation using multiple regression O Ohashi, L Torgo 2012 IEEE 12th international conference on data mining, 1044-1049, 2012 | 18 | 2012 |
| 2D-interval predictions for time series L Torgo, O Ohashi Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 11 | 2011 |
| Exploiting machine learning for the identification of locomotives’ position in large freight trains H Arruda, O Ohashi, J Ferreira, C De Souza, G Pessin Applied Artificial Intelligence 33 (10), 902-912, 2019 | 8 | 2019 |
| Exploiting machine learning models to avoid texting while driving RH Torres, O Ohashi, G Garcia, F Rocha, H Azpúrua, G Pessin 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 3 | 2019 |
| Interval forecast of water quality parameters O Ohashi, L Torgo, RP Ribeiro ECAI 2010, 283-288, 2010 | 3 | 2010 |
| The quest for better machine learning models to forecast COVID-19-related infections: A case study in the state of Pará-Brazil RH Torres, WR Soares, OS Ohashi, G Pessin | 2 | 2020 |
| Identifying locomotives' position in large freight trains: an investigation with machine learning and fuel consumption H Arruda, G Pessin, O Ohashi, J Ferreira, C De Souza Symposium on Knowledge Discovery, Mining and Learning (KDMILE), Recife–PE …, 2016 | 2 | 2016 |
| Experiments with predicting algae blooms O Ohashi 2005 portuguese conference on artificial intelligence, 175-176, 2005 | 2 | 2005 |
| Análise de sentimento com rede neural convolucional: uma investigação do fator motivacional da metodologia de aprendizagem criativa MF da Costa Braga, WR Soares, OSO Junior, RH Torres Seminário Integrado de Software e Hardware (SEMISH), 191-200, 2021 | | 2021 |
| Investigação das práticas proativas de desenvolvimento de software seguro adotadas por pequenos times de desenvolvimento JPS Rodrigues, KR da Silva Cordovil, OSO Junior, RH Torres Seminário Integrado de Software e Hardware (SEMISH), 241-250, 2021 | | 2021 |
| Manual de Utilização L Torgo, O Ohashi, RP Ribeiro | | 2011 |
| Descoberta Dinâmica de Limites de Normalidade para Parâmetros da Qualidade da Água L Torgo, O Ohashi | | 2010 |
| Previsão dos parâmetros de qualidade da Água L Torgo, O Ohashi, R Ribeiro | | 2010 |
| Previsão de Intervalo-2D para os parâmetros de qualidade da Água L Torgo, O Ohashi, R Ribeiro | | 2010 |
| BRAZILIAN MAHOGANY GROWTH AND RESISTENCE OF HYPSIPYLA GRANDELLA UNDER CALCIUM AND BORUM ML da Silva Júnior, JC de Souza Junior, ACM Braga, OS Ohashi, ... | | |
| Empirical Research in Machine Learning O Ohashi | | |
| FrameRN: Ambiente 3D para Simulaçao Redes Neurais Artificiais O Ohashi, R Limao, M Venicios, D Arruda, R Simoes, A Ribeiro | | |
Luís TorgoCanada Research Chair, Professor, Faculty of Computer Science, Dalhousie UniversityVerified email at dal.ca
