Статті для всіх - Santiago OntañónДокладніше
Недоступно ніде: 1
Beyond UCT: MAB Exploration Improvements for Monte Carlo Tree Search
RC Gray, J Zhu, S Ontañón
2023 IEEE Conference on Games (CoG), 1-8, 2023
Мандати: US National Science Foundation
Доступно в інших місцях: 45
Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss?
EM Forman, SG Kerrigan, ML Butryn, AS Juarascio, SM Manasse, ...
Journal of behavioral medicine 42, 276-290, 2019
Мандати: US National Institutes of Health, US Department of Veterans Affairs
Graph grammar-based controllable generation of puzzles for a learning game about parallel programming
J Valls-Vargas, J Zhu, S Ontañón
Proceedings of the 12th International Conference on the Foundations of …, 2017
Мандати: US National Science Foundation
A dynamic-bayesian network framework for modeling and evaluating learning from observation
S Ontañón, JL Montaña, AJ Gonzalez
Expert Systems with Applications 41 (11), 5212-5226, 2014
Мандати: Government of Spain
Programming in game space: how to represent parallel programming concepts in an educational game
J Zhu, K Alderfer, A Furqan, J Nebolsky, B Char, B Smith, J Villareale, ...
Proceedings of the 14th International Conference on the Foundations of …, 2019
Мандати: US National Science Foundation
Player-centered AI for automatic game personalization: Open problems
J Zhu, S Ontañón
Proceedings of the 15th International Conference on the Foundations of …, 2020
Мандати: US National Science Foundation
Tracing player knowledge in a parallel programming educational game
P Kantharaju, K Alderfer, J Zhu, B Char, B Smith, S Ontanón
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2018
Мандати: US National Science Foundation
Personalization paradox in behavior change apps: lessons from a social comparison-based personalized app for physical activity
J Zhu, DH Dallal, RC Gray, J Villareale, S Ontañón, EM Forman, D Arigo
Proceedings of the ACM on human-computer interaction 5 (CSCW1), 1-21, 2021
Мандати: US National Science Foundation
Player modeling via multi-armed bandits
RC Gray, J Zhu, D Arigo, E Forman, S Ontañón
Proceedings of the 15th international conference on the foundations of …, 2020
Мандати: US National Science Foundation
Designing visual metaphors for an educational game for parallel programming
S Ontañón, J Zhu, BK Smith, B Char, E Freed, A Furqan, M Howard, ...
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017
Мандати: US National Science Foundation
Policies for Active Learning from Demonstration.
B Packard, S Ontanón
AAAI Spring Symposia, 2017
Мандати: US National Science Foundation
Refinement-based similarity measure over DL conjunctive queries
AA Sánchez-Ruiz, S Ontanón, PA González-Calero, E Plaza
Case-Based Reasoning Research and Development: 21st International Conference …, 2013
Мандати: Government of Spain
Experience management in multi-player games
J Zhu, S Ontañón
2019 IEEE Conference on Games (CoG), 1-6, 2019
Мандати: US National Science Foundation
A defeasible reasoning model of inductive concept learning from examples and communication
S Ontanón, P Dellunde, L Godo, E Plaza
Artificial intelligence 193, 129-148, 2012
Мандати: Government of Spain
Coordinated inductive learning using argumentation-based communication
S Ontañón, E Plaza
Autonomous Agents and Multi-Agent Systems 29, 266-304, 2015
Мандати: Government of Spain
Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial
EM Forman, MP Berry, ML Butryn, CJ Hagerman, Z Huang, AS Juarascio, ...
Contemporary clinical trials 124, 107029, 2023
Мандати: US National Institutes of Health
Multiplayer modeling via multi-armed bandits
RC Gray, J Zhu, S Ontañón
2021 IEEE Conference on Games (CoG), 01-08, 2021
Мандати: US National Science Foundation
Behavioral modeling based on probabilistic finite automata: An empirical study
C Tîrnăucă, JL Montaña, S Ontañón, AJ González, LM Pardo
Sensors 16 (7), 958, 2016
Мандати: US National Science Foundation, Government of Spain
Detection of driver health condition by monitoring driving behavior through machine learning from observation
AJ Gonzalez, JM Wong, EM Thomas, A Kerrigan, L Hastings, A Posadas, ...
Expert Systems with Applications 199, 117167, 2022
Мандати: US National Science Foundation
Case-based prediction of teen driver behavior and skill
S Ontanón, YC Lee, S Snodgrass, D Bonfiglio, FK Winston, C McDonald, ...
Case-Based Reasoning Research and Development: 22nd International Conference …, 2014
Мандати: US National Institutes of Health
Дані про публікацію й грошову підтримку визначаються автоматично комп'ютерною програмою