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Nader Chmait
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A new AI evaluation cosmos: Ready to play the game?
J Hernández-Orallo, M Baroni, J Bieger, N Chmait, DL Dowe, K Hofmann, ...
AI Magazine 38 (3), 66-69, 2017
762017
Tennis influencers: The player effect on social media engagement and demand for tournament attendance
N Chmait, H Westerbeek, R Eime, S Robertson, C Sellitto, M Reid
Telematics and Informatics 50, 101381, 2020
572020
Factors of collective intelligence: How smart are agent collectives?
N Chmait, DL Dowe, YF Li, DG Green, J Insa-Cabrera
ECAI 2016, 542-550, 2016
512016
A dynamic intelligence test framework for evaluating AI agents
N Chmait, YF Li, DL Dowe, D Green
Evaluating General Purpose AI 2016, 2016
372016
Artificial intelligence and machine learning in sport research: An introduction for non-data scientists
N Chmait, H Westerbeek
Frontiers in sports and active living 3, 363, 2021
362021
An information-theoretic predictive model for the accuracy of AI agents adapted from psychometrics
N Chmait, DL Dowe, YF Li, DG Green
Artificial General Intelligence: 10th International Conference, AGI 2017 …, 2017
352017
Observation, communication and intelligence in agent-based systems
N Chmait, DL Dowe, DG Green, YF Li
Artificial General Intelligence: 8th International Conference, AGI 2015, AGI …, 2015
352015
Using simulated annealing and ant-colony optimization algorithms to solve the scheduling problem
N Chmait, K Challita
Computer Science and Information Technology 1 (3), 208-224, 2013
252013
Tennis superstars: The relationship between star status and demand for tickets
N Chmait, S Robertson, H Westerbeek, R Eime, C Sellitto, M Reid
Sport Management Review 23 (2), 330-347, 2020
222020
Measuring universal intelligence in agent-based systems using the anytime intelligence test
N Chmait, DL Dowe, DG Green, YF Li, J Insa-Cabrera
Monash University, 2015
132015
Understanding and Measuring Collective Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach.
N Chmait
IJCAI 17, 5171-5172, 2017
112017
Modeling Real-Estate search service using GIS technology
N Amaneddine, N Chmait
2009 17th International Conference on Geoinformatics, 1-5, 2009
42009
Creating powerful and interpretable models with regression networks
L O'Neill, S Angus, S Borgohain, N Chmait, DL Dowe
arXiv preprint arXiv:2107.14417, 2021
32021
Simulating exploration versus exploitation in agent foraging under different environment uncertainties
N Chmait, DL Dowe, DG Green, L Yuan-Fang
Behavioral and Brain Sciences 42, 2019
22019
Understanding Collective Intelligence in Agent-Based Systems: an Information-Theoretic Approach to the Measurement and Comparison of Intelligence in Groups.
N Chmait
Monash University, Australia, 2017
22017
Agent coordination and potential risks: Meaningful environments for evaluating multiagent systems
N Chmait, DL Dowe, DG Green, YF Li
Evaluating General-Purpose AI, IJCAI Workshop, 2017
22017
The Lambda Star intelligence test code-base
N Chmait
GitHub Repository, 2016
22016
Game theory and Artificial Intelligence in just preservation
DL Dowe, N Chmait
Animal Sentience 4 (27), 22, 2020
12020
Using simulated annealing and ant-colony optimization algorithms to solve the scheduling problem
N Chmeit
Notre Dame University-Louaize, 2012
12012
Creating Powerful and Interpretable Models withRegression Networks.
L O'Neill, SD Angus, S Borgohain, N Chmait, DL Dowe
CoRR, 2021
2021
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