Machine Learning & AI
At the forefront of technological innovation, Machine Learning involves crafting algorithms for autonomous learning, while AI simulates human intelligence. Integrating multi-agent systems and game theory enhances decision-making in complex environments, finding applications in finance, cybersecurity, and resource management.
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128 result(s)
Tail Probabilities of Random Linear Functions of Regularly Varying Random Vectors
B. Das, V. Fasen-Hartmann and C. Klüppelberg, 2022, Extremes, 25, 721-758, https://arxiv.org/abs/1904.06824
Teaching Humanitarian Logistics with the Disaster Response Game
M. Klein, P. Jackson, and M. Mazereeuw, 2022, Decision Sciences Journal of Innovative Education, 20, No. 3, 158-169
To Help or Disturb: Introduction of Crowdsourced WiFi to 5G Networks
S. Hao and L. Duan, 2022, IEEE Transactions on Mobile Computing, 22(9), 5583 – 5596, https://arxiv.org/abs/2206.08261
Uncovering Illicit Supply Networks and their Interfaces to Licit Counterparts through Graph Theoretic Algorithms
R Anzoom, R Nagi, C Vogiatzis, 2022, IISE Transactions, Volume 56, Issue 3, 224-240, https://www.tandfonline.com/doi/pdf/10.1080/24725854.2022.2162169
What have we Learned About Socioeconomic Inequalities in the Spread of COVID-19? A Systematic Review
F. Benita, L. Rebollar-Ruelas, E.D. Gaytán-Alfaro, 2022, Sustainable Cities and Society, 104158, https://doi.org/10.1016/j.scs.2022.104158
A Cost–based Analysis for Risk-averse Explore-then-commit Finite-time Bandits
A Yekkehkhany, E Arian, R Nagi, I Shomorony , 2021, IISE Transactions, Volume 53, Issue 10, 1094-1108, https://www.tandfonline.com/doi/pdf/10.1080/24725854.2021.1882014
A Framework to Assess Risk of Illicit Trades Using Bayesian Belief Networks
R Anzoom, R Nagi, C Vogiatzis, 2021, IFIP International Conference on Advances in Production Management Systems, 504-513, https://inria.hal.science/hal-03897902/file/520762_1_En_54_Chapter.pdf
A Review of Research in Illicit Supply-chain Networks and New Directions to Thwart them
R Anzoom, R Nagi, C Vogiatzis, 2021, IISE Transactions, Volume 54, Issue 2, 134-158, https://www.tandfonline.com/doi/pdf/10.1080/24725854.2021.1939466
A Smart Learning Ecosystem Design for Delivering Data-driven Thinking in STEM Education
F. Benita, D. Virupaksha, E. Wilhelm, B. Tunçer, 2021, Smart Learning Environments, 8, 1-20, https://doi.org/10.1186/s40561-021-00153-y
Analysis of optimization algorithms via sum-of-squares
S. S.Y. Tan , V. Y.F. Tan, A Varvitsiotis, 2021, Journal of Optimization Theory and Applications, https://link.springer.com/article/10.1007/s10957-021-01869-0?fbclid=IwAR3ODcpJfH4ByBOTmartQi_Ew_4zLEL4mTsuE8XFjrTukSRi1KHc2nA8pkE