| 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 | 30 | 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 | 26 | 2017 |
| Spatial interpolation using multiple regression O Ohashi, L Torgo 2012 IEEE 12th international conference on data mining, 1044-1049, 2012 | 16 | 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 | 7 | 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, 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) 4, 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 Anais do XLVIII Seminário Integrado de Software e Hardware, 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 Anais do XLVIII Seminário Integrado de Software e Hardware, 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
