Alain B. Zemkoho

Orcid: 0000-0003-1265-4178

Affiliations:
  • University of Southampton, UK


According to our database1, Alain B. Zemkoho authored at least 28 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adaptive learning-based hybrid recommender system for deception in Internet of Thing.
Comput. Networks, 2024

Bayesian Game for Cyber Deception Against Remote Attack on Automotive Systems.
Proceedings of the International Conference on Computing, Networking and Communications, 2024

2023
Synthetic data & the future of Women's Health: A synergistic relationship.
Int. J. Medical Informatics, November, 2023

Deep learning and hyperparameter optimization for assessing one's eligibility for a subcutaneous implantable cardioverter-defibrillator.
Ann. Oper. Res., September, 2023

Extension of the value function reformulation to multiobjective bilevel optimization.
Optim. Lett., July, 2023

A Basic Time Series Forecasting Course with Python.
Oper. Res. Forum, March, 2023

Achieving Better Regret against Strategic Adversaries.
CoRR, 2023

AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

2022
Semismooth Newton-type method for bilevel optimization: global convergence and extensive numerical experiments.
Optim. Methods Softw., 2022

Bilevel hyperparameter optimization for support vector classification: theoretical analysis and a solution method.
Math. Methods Oper. Res., 2022

Deep learning forward and reverse primer design to detect SARS-CoV-2 emerging variants.
CoRR, 2022

2021
An inertial extrapolation method for convex simple bilevel optimization.
Optim. Methods Softw., 2021

A note on partial calmness for bilevel optimization problems with linearly structured lower level.
Optim. Lett., 2021

Sufficient Optimality Conditions in Bilevel Programming.
Math. Oper. Res., 2021

Theoretical and numerical comparison of the Karush-Kuhn-Tucker and value function reformulations in bilevel optimization.
Comput. Optim. Appl., 2021

Gauss-Newton-type methods for bilevel optimization.
Comput. Optim. Appl., 2021

Deep learning methods for screening patients' S-ICD implantation eligibility.
Artif. Intell. Medicine, 2021

Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games.
Proceedings of the Algorithmic Learning Theory, 2021

2020
Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information.
CoRR, 2020

Infrequent adverse event prediction in low carbon energy production using machine learning.
CoRR, 2020

2017
Robust toll pricing: A novel approach.
CoRR, 2017

2016
Pricing Toll Roads under Uncertainty.
Proceedings of the 16th Workshop on Algorithmic Approaches for Transportation Modelling, 2016

2014
KKT Reformulation and Necessary Conditions for Optimality in Nonsmooth Bilevel Optimization.
SIAM J. Optim., 2014

2013
The bilevel programming problem: reformulations, constraint qualifications and optimality conditions.
Math. Program., 2013

New Optimality Conditions for the Semivectorial Bilevel Optimization Problem.
J. Optim. Theory Appl., 2013

2012
Sensitivity Analysis for Two-Level Value Functions with Applications to Bilevel Programming.
SIAM J. Optim., 2012

Bilevel road pricing: theoretical analysis and optimality conditions.
Ann. Oper. Res., 2012

2011
The Generalized Mangasarian-Fromowitz Constraint Qualification and Optimality Conditions for Bilevel Programs.
J. Optim. Theory Appl., 2011


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