On p-norm linear discrimination. - Yana Morenko; Alexander Vinel; Zhaohan Yu; Pavlo A. Krokhmal (Eur. J. Oper. Res., 2013)

On Valid Inequalities for Mixed Integer p-Order Cone Programming. - Alexander Vinel; Pavlo A. Krokhmal (J. Optim. Theory Appl., 2014)

Polyhedral approximations in p-order cone programming. - Alexander Vinel; Pavlo A. Krokhmal (Optim. Methods Softw., 2014)

A Scenario Decomposition Algorithm for Stochastic Programming Problems with a Class of Downside Risk Measures. - Maciej Rysz; Alexander Vinel; Pavlo A. Krokhmal; Eduardo L. Pasiliao (INFORMS J. Comput., 2015)

Certainty equivalent measures of risk. - Alexander Vinel; Pavlo A. Krokhmal (Ann. Oper. Res., 2017)

Mixed integer programming with a class of nonlinear convex constraints. - Alexander Vinel; Pavlo A. Krokhmal (Discret. Optim., 2017)

Probability Distribution of the Length of the Shortest Tour between a Few Random Points: a simulation Study. - Alexander Vinel; Daniel F. Silva (WSC, 2018)

Efficient Risk Estimation Using Extreme Value Theory and Simulation Metamodeling. - Joseph J. Kennedy; Armin Khayyer; Alexander Vinel; Alice E. Smith (WSC, 2020)

Cross Learning in Deep Q-Networks. - Xing Wang; Alexander Vinel (CoRR, 2020)

Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network. - Xing Wang; Alexander Vinel (CoRR, 2020)

Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network. - Xing Wang; Yijun Wang; Bin Weng; Aleksandr Vinel (CoRR, 2020)

A Review of Data Analytic Applications in Road Traffic Safety. Part 2: Prescriptive Modeling. - Qiong Hu; Miao Cai; Nasrin Mohabbati-Kalejahi; Amir Mehdizadeh; Mohammad Ali Alamdar Yazdi; Alexander Vinel; Steven E. Rigdon; Karen C. Davis; Fadel M. Megahed (Sensors, 2020)

A Review of Data Analytic Applications in Road Traffic Safety. Part 1: Descriptive and Predictive Modeling. - Amir Mehdizadeh; Miao Cai; Qiong Hu; Mohammad Ali Alamdar Yazdi; Nasrin Mohabbati-Kalejahi; Alexander Vinel; Steven E. Rigdon; Karen C. Davis; Fadel M. Megahed (Sensors, 2020)

Relocations in container depots for different handling equipment types: Markov models. - Erhan Karakaya; Alexander Vinel; Alice E. Smith (Comput. Ind. Eng., 2021)

Benchmarking Graph Neural Networks on Link Prediction. - Xing Wang; Alexander Vinel (CoRR, 2021)

A graph theoretic approach to non-anticipativity constraint generation in multistage stochastic programs with incomplete scenario sets. - Zuo Zeng; Alexander Vinel; Brianna Christian; Yasuhiro Shoji; Selen Cremaschi (Comput. Oper. Res., 2022)

Predictive machine learning for prescriptive applications: A coupled training-validating approach. - Ebrahim Mortaz; Alexander Vinel (Knowl. Based Syst., 2022)

On-Demand Public Transit: A Markovian Continuous Approximation Model. - Daniel F. Silva; Alexander Vinel; Bekircan Kirkici (Transp. Sci., 2022)

Risk parity: An alternative formulation for risk-averse stochastic optimization in presence of heavy-tailed distribution of losses. - Nasrin Mohabbati-Kalejahi; Alexander Vinel (J. Oper. Res. Soc., 2023)

A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing. - Jia Peter Liu; Jiafeng Ye; Daniel Silva Izquierdo; Aleksandr Vinel; Nima Shamsaei; Shuai Shao (J. Intell. Manuf., 2023)