Alexander Vinel

According to our database, Alexander Vinel authored at least 20 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2023

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., March, 2023

2022

On-Demand Public Transit: A Markovian Continuous Approximation Model.

Daniel F. Silva, Alexander Vinel, Bekircan Kirkici

Transp. Sci., 2022

Predictive machine learning for prescriptive applications: A coupled training-validating approach.

Ebrahim Mortaz, Alexander Vinel

Knowl. Based Syst., 2022

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

2021

Benchmarking Graph Neural Networks on Link Prediction.

Xing Wang, Alexander Vinel

CoRR, 2021

Relocations in container depots for different handling equipment types: Markov models.

Erhan Karakaya, Alexander Vinel, Alice E. Smith

Comput. Ind. Eng., 2021

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

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

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

Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network.

Xing Wang, Alexander Vinel

CoRR, 2020

Cross Learning in Deep Q-Networks.

Xing Wang, Alexander Vinel

CoRR, 2020

Efficient Risk Estimation Using Extreme Value Theory and Simulation Metamodeling.

Joseph J. Kennedy, Armin Khayyer, Alexander Vinel, Alice E. Smith

Proceedings of the Winter Simulation Conference, 2020

2018

Probability Distribution of the Length of the Shortest Tour between a Few Random Points: a simulation Study.

Alexander Vinel, Daniel F. Silva

Proceedings of the 2018 Winter Simulation Conference, 2018

2017

Mixed integer programming with a class of nonlinear convex constraints.

Alexander Vinel, Pavlo A. Krokhmal

Discret. Optim., 2017

Certainty equivalent measures of risk.

Alexander Vinel, Pavlo A. Krokhmal

Ann. Oper. Res., 2017

2015

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

2014

Polyhedral approximations in <i>p</i>-order cone programming.

Alexander Vinel, Pavlo A. Krokhmal

Optim. Methods Softw., 2014

On Valid Inequalities for Mixed Integer p-Order Cone Programming.

Alexander Vinel, Pavlo A. Krokhmal

J. Optim. Theory Appl., 2014

2013

On p-norm linear discrimination.

Yana Morenko, Alexander Vinel, Zhaohan Yu, Pavlo A. Krokhmal

Eur. J. Oper. Res., 2013