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Sailik Sengupta

Datos Biográficos

ID7594242
NOMBRESailik Sengupta
NOMBRESSailik
APELLIDOSengupta
FIRMASENGUPTA S
AFILIACIONESYochan Lab, Arizona State University, Tempe, AZ, USA
ORCID0000-0002-6059-7967
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2020
ÍNDICE H0
  • Radar

    Sachin Grover, Sailik Sengupta et al.•ARTICLE•Human-Computer Interaction•2020

    Proactive Decision Support aims at improving the decision making experience of human decision-makers by enhancing the quality of the decisions and the ease of making them. Given that AI techniques are efficient in searching over a potentially large solution space (of decision) and finding good solutions, it can be used for human-in-the-loop scenarios such as disaster response that demand naturalistic decision making. A human decision-maker, in su…

Sin obras prominentes en esta página.

  • Radar

    Sachin Grover, Sailik Sengupta et al.•ARTICLE•Human-Computer Interaction•2020

    Proactive Decision Support aims at improving the decision making experience of human decision-makers by enhancing the quality of the decisions and the ease of making them. Given that AI techniques are efficient in searching over a potentially large solution space (of decision) and finding good solutions, it can be used for human-in-the-loop scenarios such as disaster response that demand naturalistic decision making. A human decision-maker, in su…

AI-based Problem Solving and Planning (1 obra) · Artificial Intelligence (1 obra) · Complex Systems and Decision Making (1 obra) · Computer Science (1 obra) · Decision support system (1 obra) · Engineering (1 obra) · Human-Automation Interaction and Safety (1 obra) · Human–computer interaction (1 obra) · Knowledge management (1 obra) · Plan (archaeology (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae