COVID-19 diagnosis prediction in emergency care patients: a machine learning approach AF de Moraes Batista, JL Miraglia, TH Rizzi Donato, ... MedRxiv, 2020.04. 04.20052092, 2020 | 192 | 2020 |
A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil FT Fernandes, TA de Oliveira, CE Teixeira, AFM Batista, G Dalla Costa, ... Scientific reports 11 (1), 3343, 2021 | 86 | 2021 |
Predictors of tooth loss: A machine learning approach HW Elani, AFM Batista, WM Thomson, I Kawachi, ADP Chiavegatto Filho PLoS One 16 (6), e0252873, 2021 | 30 | 2021 |
An agent-based model for the spread of the Dengue fever: a swarm platform simulation approach LFO Jacintho, AFM Batista, TL Ruas, MGB Marietto, FA Silva Proceedings of the 2010 Spring Simulation Multiconference, 1-8, 2010 | 30 | 2010 |
Neonatal mortality prediction with routinely collected data: a machine learning approach AFM Batista, CSG Diniz, EA Bonilha, I Kawachi, ADP Chiavegatto Filho BMC pediatrics 21, 1-6, 2021 | 17 | 2021 |
Data leakage in health outcomes prediction with machine learning. comment on “prediction of incident hypertension within the next year: prospective study using statewide … A Chiavegatto Filho, AFDM Batista, HG Dos Santos Journal of Medical Internet Research 23 (2), e10969, 2021 | 15 | 2021 |
Filho TM Batista, LM Tomiyoshi, AC Dias, LP Roma, CM Módulo, LT Malki DFS Quantificação de recursos florestais: árvores, arvoredos e florestas 1, 2020 | 15 | 2020 |
Visual analytics improving data understandability in IoT projects: An overview of the US DOE ARM program data science tools AFM Batista, PLP Correa, G Palanisamy 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems …, 2016 | 10 | 2016 |
Multi-Agent Systems in a Computational Environment of Education: A Chatterbot Case Study AFM Batista, MGB Marietto, GCO Barbosa, RS França, EA Noronha International Journal for Infonomics (IJI) 3 (3), 2010 | 10 | 2010 |
Data provenance in environmental monitoring DL da Silva, A Batista, PLP Correa 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems …, 2016 | 8 | 2016 |
Modeling artificial life through multi-agent based simulation T Ruas, M Marietto, A Batista, R França, A Heideker, E Noronha, F Silva Multi-Agent Systems-Modeling, Control, Programming, Simulations and …, 2011 | 8 | 2011 |
Cause-specific mortality prediction in older residents of São Paulo, Brazil: a machine learning approach CF do Nascimento, HG Dos Santos, AF de Moraes Batista, ... Age and ageing 50 (5), 1692-1698, 2021 | 7 | 2021 |
Principles of agent-oriented programming AF de Moraes Batista, B dos Passos Alves, G Kobayashi, MGB Marietto, ... INTECH Open Access Publisher, 2011 | 7 | 2011 |
Multi-agent systems to build a computational middleware: A chatterbot case study AF de Moraes Batista, MGB Marietto, GCO Barbosa, R dos Santos França, ... 2009 International Conference for Internet Technology and Secured …, 2009 | 7 | 2009 |
Smart grids for the masses: An agent-based system for remote measurement BCS Sanches, AFM Batista, IRS Casella 2011 IEEE International Conference on Smart Measurements of Future Grids …, 2011 | 6 | 2011 |
COVID-19 diagnosis prediction in emergency care patients: A machine learning approach. medRxiv 2020 AF de Moraes Batista, JL Miraglia, THR Donato, ADP Chiavegatto Filho Google Scholar][CrossRef][Green Version], 0 | 6 | |
A Model for fire spreading by multi-agent systems: A RoboCup Rescue simulation and Swarm platform approach TL Ruas, BM Maria das Graças, RS França, AFM Batista 2009 Second International Conference on the Applications of Digital …, 2009 | 5 | 2009 |
Early identification of older individuals at risk of mobility decline with machine learning CF do Nascimento, AF de Moraes Batista, YAO Duarte, ... Archives of Gerontology and Geriatrics 100, 104625, 2022 | 4 | 2022 |
Enabling data legitimacy in data-driven projects AFM Batista, DL da Silva, PLP Correa 2017 International Conference on Current Trends in Computer, Electrical …, 2017 | 4 | 2017 |
COVID-19 diagnosis prediction in emergency care patients: a machine learning approach, medRxiv J. Cold Spring Harb. Lab. Press (2020) 1e8 AFM Batista, JL Miraglia, THR Donato, ADP Chiavegatto Filho | 3 | 2020 |