Diego Klabjan

CoRR, 2024

A Primal-Dual Algorithm for Hybrid Federated Learning.

[BibT_eX]

[DOI]

Tom Overman

Garrett Blum

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficient Architecture Search for Continual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Open-set recognition of breast cancer treatments.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, January, 2023

An inverse classification framework with limited budget and maximum number of perturbed samples.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics.

[BibT_eX]

[DOI]

CoRR, 2023

Robust softmax aggregation on blockchain based federated learning with convergence guarantee.

[BibT_eX]

[DOI]

Huiyu Wu

CoRR, 2023

Unsupervised Video Summarization.

[BibT_eX]

[DOI]

Hanqing Li

CoRR, 2023

Preliminary Analysis on Second-Order Convergence for Biased Policy Gradient Methods.

[BibT_eX]

[DOI]

Siqiao Mu

CoRR, 2023

IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation.

[BibT_eX]

[DOI]

Taejong Joo

CoRR, 2023

An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading.

[BibT_eX]

[DOI]

Shuyang Wang

CoRR, 2023

Regret Lower Bounds in Multi-agent Multi-armed Bandit.

[BibT_eX]

[DOI]

Balakrishnan Ananthanarayanan

CoRR, 2023

Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints.

[BibT_eX]

[DOI]

Husam Dauod

Tzung-Han Juang

CoRR, 2023

S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture.

[BibT_eX]

[DOI]

CoRR, 2023

A Policy for Early Sequence Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Gradient-Boosted Based Structured and Unstructured Learning.

[BibT_eX]

[DOI]

Andrea Treviño Gavito

CoRR, 2023

Multi-Layer Attention-Based Explainability via Transformers for Tabular Data.

[BibT_eX]

[DOI]

Andrea Treviño Gavito

CoRR, 2023

Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation.

[BibT_eX]

[DOI]

Abdolghani Ebrahimi

Proceedings of the International Joint Conference on Neural Networks, 2023

Pareto Regret Analyses in Multi-objective Multi-armed Bandit.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Early Classifying Multimodal Sequences.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm.

[BibT_eX]

[DOI]

Yintai Ma

Proceedings of the IEEE International Conference on Big Data, 2023

Feature Acquisition Using Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Sungsoo Lim

Mark Shapiro

Proceedings of the IEEE International Conference on Big Data, 2023

Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types.

[BibT_eX]

[DOI]

Yegna Subramanian Jambunath

Proceedings of the IEEE International Conference on Big Data, 2023

Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification.

[BibT_eX]

[DOI]

Yegna Subramanian Jambunath

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Truth validation with evidence.

[BibT_eX]

[DOI]

Papis Wongchaisuwat

Knowl. Inf. Syst., 2022

Divergence Results and Convergence of a Variance Reduced Version of ADAM.

[BibT_eX]

[DOI]

Ruiqi Wang

CoRR, 2022

Large-Scale Multi-Document Summarization with Information Extraction and Compression.

[BibT_eX]

[DOI]

Ning Wang

Han Liu

CoRR, 2022

Topic Analysis for Text with Side Data.

[BibT_eX]

[DOI]

Kripa Rajshekhar

CoRR, 2022

Tricks and Plugins to GBM on Images and Sequences.

[BibT_eX]

[DOI]

CoRR, 2022

Nested Multi-view Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

DOTA 2 match prediction through deep learning team fight models.

[BibT_eX]

[DOI]

Borchuluun Yadamsuren

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Aggregation Delayed Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Open Set Domain Adaptation by Extreme Value Theory.

[BibT_eX]

[DOI]

Yiming Xu

Proceedings of the IEEE International Conference on Big Data, 2022

Dynamic Cell Structure via Recursive-Recurrent Neural Networks.

[BibT_eX]

[DOI]

Xin Qian

Matthew Kennedy

Proceedings of the IEEE International Conference on Big Data, 2022

Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games.

[BibT_eX]

[DOI]

Borchuluun Yadamsuren

Anders Drachen

Simon Demediuk

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

2021

Bayesian Active Learning for Choice Models With Deep Gaussian Processes.

[BibT_eX]

[DOI]

Jie Yang

IEEE Trans. Intell. Transp. Syst., 2021

Non-Convex Optimization with Spectral Radius Regularization.

[BibT_eX]

[DOI]

Adam Sandler

CoRR, 2021

Layer Flexible Adaptive Computation Time.

[BibT_eX]

[DOI]

Lida Zhang

Abdolghani Ebrahimi

Proceedings of the International Joint Conference on Neural Networks, 2021

Generative Adversarial Nets for Multiple Text Corpora.

[BibT_eX]

[DOI]

Abdolghani Ebrahimi

Proceedings of the International Joint Conference on Neural Networks, 2021

k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks.

[BibT_eX]

[DOI]

Yiming Xu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Probabilistic Approach to Neural Network Pruning.

[BibT_eX]

[DOI]

Xin Qian

Proceedings of the 38th International Conference on Machine Learning, 2021

Classification Models for Partially Ordered Sequences.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels.

[BibT_eX]

[DOI]

Yiming Xu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Logit-based Uncertainty Measure in Classification.

[BibT_eX]

[DOI]

Huiyu Wu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Keyword-based Topic Modeling and Keyword Selection.

[BibT_eX]

[DOI]

Xingyu Wang

Lida Zhang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Continual Neural Network Model Retraining.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games.

[BibT_eX]

[DOI]

Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021

Open-Set Recognition with Gaussian Mixture Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An Approach for the Railway Multiterritory Dispatching Problem.

[BibT_eX]

[DOI]

Conrado Borraz-Sánchez

Alper Uygur

Transp. Sci., 2020

A Simple and Fast Algorithm for L1-Norm Kernel PCA.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Subset selection for multiple linear regression via optimization.

[BibT_eX]

[DOI]

J. Glob. Optim., 2020

Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples.

[BibT_eX]

[DOI]

CoRR, 2020

Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Architecture Search for Continual Learning.

[BibT_eX]

[DOI]

Qiang Gao

Zhipeng Luo

CoRR, 2020

Neural Network Retraining for Model Serving.

[BibT_eX]

[DOI]

CoRR, 2020

The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Xin Qian

CoRR, 2020

Listwise Learning to Rank by Exploring Unique Ratings.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Retention Prediction in Sandbox Games with Bipartite Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing, 2020

Improved Classification Based on Deep Belief Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Dynamic prediction length for time series with sequence to sequence network.

[BibT_eX]

[DOI]

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Automatic Ontology Learning from Domain-specific Short Unstructured Text Data.

[BibT_eX]

[DOI]

Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Semi-Supervised Learning for Discrete Choice Models.

[BibT_eX]

[DOI]

Jie Yang

IEEE Trans. Intell. Transp. Syst., 2019

Online adaptive machine learning based algorithm for implied volatility surface modeling.

[BibT_eX]

[DOI]

Yaxiong Zeng

Knowl. Based Syst., 2019

Conditional Hierarchical Bayesian Tucker Decomposition.

[BibT_eX]

[DOI]

Adam Sandler

CoRR, 2019

Data Extraction from Charts via Single Deep Neural Network.

[BibT_eX]

[DOI]

Xiaoyi Liu

CoRR, 2019

Scale Invariant Power Iteration.

[BibT_eX]

[DOI]

Youngseok Kim

CoRR, 2019

Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network.

[BibT_eX]

[DOI]

CoRR, 2019

Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences.

[BibT_eX]

[DOI]

CoRR, 2019

Predicting ICU readmission using grouped physiological and medication trends.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2019

The trails of Just Cause 2: spatio-temporal player profiling in open-world games.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Activation Ensembles for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement.

[BibT_eX]

[DOI]

Yaser Norouzzadeh Ravari

Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018

Optimization of Battery Charging and Purchasing at Electric Vehicle Battery Swap Stations.

[BibT_eX]

[DOI]

Frank Schneider

Ulrich W. Thonemann

Transp. Sci., 2018

Large-Scale Adversarial Sports Play Retrieval with Learning to Rank.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Three iteratively reweighted least squares algorithms for L<sub>1</sub> -norm principal component analysis.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2018

Layer Flexible Adaptive Computational Time for Recurrent Neural Networks.

[BibT_eX]

[DOI]

Lida Zhang

CoRR, 2018

Unified recurrent neural network for many feature types.

[BibT_eX]

[DOI]

Alexander Stec

CoRR, 2018

Nested multi-instance classification.

[BibT_eX]

[DOI]

Alexander Stec

CoRR, 2018

Dynamic Prediction Length for Time Series with Sequence to Sequence Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Forecasting Crime with Deep Learning.

[BibT_eX]

[DOI]

Alexander Stec

CoRR, 2018

A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations.

[BibT_eX]

[DOI]

CoRR, 2018

Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations.

[BibT_eX]

[DOI]

Xingyu Wang

Proceedings of the 35th International Conference on Machine Learning, 2018

Location-Awareness in Time Series Compression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Databases and Information Systems, 2018

Controlling the crucible: a novel PvP recommender systems framework for <i>destiny</i>.

[BibT_eX]

[DOI]

Proceedings of the Australasian Computer Science Week Multiconference, 2018

To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions.

[BibT_eX]

[DOI]

Proceedings of the Australasian Computer Science Week Multiconference, 2018

SolverBlox: algebraic modeling in datalog.

[BibT_eX]

[DOI]

Conrado Borraz-Sánchez

Emir Pasalic

Molham Aref

Proceedings of the Declarative Logic Programming: Theory, Systems, and Applications, 2018

2017

Adaptive Routing and Recharging Policies for Electric Vehicles.

[BibT_eX]

[DOI]

Timothy M. Sweda

Irina S. Dolinskaya

Transp. Sci., 2017

Optimal Recharging Policies for Electric Vehicles.

[BibT_eX]

[DOI]

Timothy M. Sweda

Irina S. Dolinskaya

Transp. Sci., 2017

Bayesian Network Learning via Topological Order.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Algorithms for Generalized Clusterwise Linear Regression.

[BibT_eX]

[DOI]

INFORMS J. Comput., 2017

Generative Adversarial Nets for Multiple Text Corpora.

[BibT_eX]

[DOI]

CoRR, 2017

L1-norm Kernel PCA.

[BibT_eX]

[DOI]

CoRR, 2017

An Attention-Based Deep Net for Learning to Rank.

[BibT_eX]

[DOI]

CoRR, 2017

Convergence Analysis of Batch Normalization for Deep Neural Nets.

[BibT_eX]

[DOI]

Yintai Ma

CoRR, 2017

Classification-based financial markets prediction using deep neural networks.

[BibT_eX]

[DOI]

Matthew Dixon

Jin Hoon Bang

Algorithmic Finance, 2017

Improving the Expected Improvement Algorithm.

[BibT_eX]

[DOI]

Chao Qin

Daniel Russo

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Optimization for Large-Scale Machine Learning with Distributed Features and Observations.

[BibT_eX]

[DOI]

Alexandros Nathan

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

Semantic Document Distance Measures and Unsupervised Document Revision Detection.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Predicting litigation likelihood and time to litigation for patents.

[BibT_eX]

[DOI]

P. Wongchaisuwat

John O. McGinnis

Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, 2017

Regularization for Unsupervised Deep Neural Nets.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A new novel local search integer-programming-based heuristic for PCB assembly on collect-and-place machines.

[BibT_eX]

[DOI]

Anupam Seth

Placid M. Ferreira

Math. Program. Comput., 2016

An aggregate and iterative disaggregate algorithm with proven optimality in machine learning.

[BibT_eX]

[DOI]

Mach. Learn., 2016

Algorithms for Generalized Cluster-wise Linear Regression.

[BibT_eX]

[DOI]

CoRR, 2016

Predictive Analytics Using Smartphone Sensors for Depressive Episodes.

[BibT_eX]

[DOI]

Taeheon Jeong

Justin Starren

CoRR, 2016

Predicting Shot Making in Basketball using Convolutional Neural Networks Learnt from Adversarial Multiagent Trajectories.

[BibT_eX]

[DOI]

Patrick Lucey

CoRR, 2016

Going Out of Business: Auction House Behavior in the Massively Multi-Player Online Game.

[BibT_eX]

[DOI]

CoRR, 2016

Classiffication-based Financial Markets Prediction using Deep Neural Networks.

[BibT_eX]

[DOI]

Matthew Dixon

Jin Hoon Bang

CoRR, 2016

Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Rapid Prediction of Player Retention in Free-to-Play Mobile Games.

[BibT_eX]

[DOI]

Anders Drachen

Eric Thurston Lundquist

Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016

Temporal Topic Analysis with Endogenous and Exogenous Processes.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Lead time considerations for the multi-level capacitated lot-sizing problem.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2015

Lifting for mixed integer programs with variable upper bounds.

[BibT_eX]

[DOI]

Discret. Appl. Math., 2015

Lot sizing with minimum order quantity.

[BibT_eX]

[DOI]

Discret. Appl. Math., 2015

Implementing deep neural networks for financial market prediction on the Intel Xeon Phi.

[BibT_eX]

[DOI]

Matthew Dixon

Jin Hoon Bang

Proceedings of the 8th Workshop on High Performance Computational Finance, 2015

2014

Guest Editorial: Special Issue on Energy and Transportation.

[BibT_eX]

[DOI]

Warren B. Powell

Transp. Sci., 2014

Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs.

[BibT_eX]

[DOI]

SIAM J. Discret. Math., 2014

Attributes.

[BibT_eX]

[DOI]

Wojciech Olszewski

Asher Wolinsky

Games Econ. Behav., 2014

Modeling lotsizing and scheduling problems with sequence dependent setups.

[BibT_eX]

[DOI]

Luís Guimarães

Eur. J. Oper. Res., 2014

Going out of business: Auction house behavior in the Massively Multi-player Online Game Glitch.

[BibT_eX]

[DOI]

Entertain. Comput., 2014

Approximations to auctions of digital goods with share-averse bidders.

[BibT_eX]

[DOI]

Jinxiang Pei

Wei Xie

Electron. Commer. Res. Appl., 2014

Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2).

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Games Media Entertainment, 2014

Semantic Properties of Customer Sentiment in Tweets.

[BibT_eX]

[DOI]

Eun Hee Ko

Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

2013

Analyses of advanced iterated tour partitioning heuristics for generalized vehicle routing problems.

[BibT_eX]

[DOI]

Anupam Seth

Placid M. Ferreira

Networks, 2013

Inventory control in multi-channel retail.

[BibT_eX]

[DOI]

Frank Schneider

Eur. J. Oper. Res., 2013

Pricing, relaxing and fixing under lot sizing and scheduling.

[BibT_eX]

[DOI]

Luís Guimarães

Eur. J. Oper. Res., 2013

Optimal placement of reconfigurable optical add/drop multiplexers with packing, blocking, and signal loss.

[BibT_eX]

[DOI]

Conrado Borraz-Sánchez

Comput. Networks, 2013

2012

Computing Near-Optimal Policies in Generalized Joint Replenishment.

[BibT_eX]

[DOI]

INFORMS J. Comput., 2012

Column generation based heuristics for a generalized location routing problem with profits arising in space exploration.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2012

Annual production budget in the beverage industry.

[BibT_eX]

[DOI]

Luís Guimarães

Eng. Appl. Artif. Intell., 2012

A polyhedral study of lot-sizing with supplier selection.

[BibT_eX]

[DOI]

Yijia Zhao

Discret. Optim., 2012

Automated knowledge source selection and service composition.

[BibT_eX]

[DOI]

Soo Y. Chang

Comput. Optim. Appl., 2012

2011

Robust Airline Scheduling Under Block-Time Uncertainty.

[BibT_eX]

[DOI]

Milind G. Sohoni

Yu-Ching Lee

Transp. Sci., 2011

2010

Multiship Crane Sequencing with Yard Congestion Constraints.

[BibT_eX]

[DOI]

Shawn Choo

David Simchi-Levi

Transp. Sci., 2010

Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2010

Intra market optimization for express package carriers with station to station travel and proportional sorting.

[BibT_eX]

[DOI]

Luke Schenk

Comput. Oper. Res., 2010

Multiple machine continuous setup lotsizing with sequence-dependent setups.

[BibT_eX]

[DOI]

Maria Antónia Carravilla

José Fernando Oliveira

Comput. Optim. Appl., 2010

2009

A Fully Polynomial-Time Approximation Scheme for Single-Item Stochastic Inventory Control with Discrete Demand.

[BibT_eX]

[DOI]

Math. Oper. Res., 2009

Topology Formation for Wireless Mesh Network Planning.

[BibT_eX]

[DOI]

Chun-cheng Chen

Chandra Chekuri

Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

2008

Intramarket Optimization for Express Package Carriers.

[BibT_eX]

[DOI]

Luke Schenk

Transp. Sci., 2008

Heuristics for automated knowledge source integration and service composition.

[BibT_eX]

[DOI]

Soo Y. Chang

Comput. Oper. Res., 2008

2007

An Infinite-Dimensional Linear Programming Algorithm for Deterministic Semi-Markov Decision Processes on Borel Spaces.

[BibT_eX]

[DOI]

Math. Oper. Res., 2007

Integrated Airline Fleeting and Crew-Pairing Decisions.

[BibT_eX]

[DOI]

Rivi Sandhu

Oper. Res., 2007

Subadditive approaches in integer programming.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2007

2006

Robust Airline Crew Pairing: Move-up Crews.

[BibT_eX]

[DOI]

Transp. Sci., 2006

Fleeting with Passenger and Cargo Origin-Destination Booking Control.

[BibT_eX]

[DOI]

Rivi Sandhu

Transp. Sci., 2006

Existence of Optimal Policies for Semi-Markov Decision Processes Using Duality for Infinite Linear Programming.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2006

Sequence Independent Lifting for Mixed Integer Programs with Variable Upper Bounds.

[BibT_eX]

[DOI]

Math. Program., 2006

Warehousing and Analyzing Massive RFID Data Sets.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Data Engineering, 2006

Warehousing and Mining Massive RFID Data Sets.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005

Duality and Existence of Optimal Policies in Generalized Joint Replenishment.

[BibT_eX]

[DOI]

Math. Oper. Res., 2005

2004

A New Pricing Scheme for Airline Crew Scheduling.

[BibT_eX]

[DOI]

Alexandra Makri

INFORMS J. Comput., 2004

A Practical Algorithm for Computing a Subadditive Dual Function for Set Partitioning.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2004

2003

Algorithms for source-to-all maximum cost-to-time ratio problem in acyclic networks.

[BibT_eX]

[DOI]

Alexandra Makri

Networks, 2003

2002

Airline Crew Scheduling with Time Windows and Plane-Count Constraints.

[BibT_eX]

[DOI]

Transp. Sci., 2002

A Polyhedral Study of Integer Variable Upper Bounds.

[BibT_eX]

[DOI]

George L. Nemhauser

Math. Oper. Res., 2002

A New Subadditive Approach to Integer Programming.

[BibT_eX]

[DOI]

Proceedings of the Integer Programming and Combinatorial Optimization, 2002

2001

Abstracts for the 2000 Transportation Science Section Dissertation Prize Competition.

[BibT_eX]

[DOI]

Transp. Sci., 2001

Airline Crew Scheduling with Regularity.

[BibT_eX]

[DOI]

Transp. Sci., 2001

Solving Large Airline Crew Scheduling Problems: Random Pairing Generation and Strong Branching.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2001

Airline Crew Pairing Generation in Parallel.

[BibT_eX]

Karsten Schwan

Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing, 2001

2000

A parallel primal-dual simplex algorithm.

[BibT_eX]

[DOI]

Ellis L. Johnson

George L. Nemhauser

Oper. Res. Lett., 2000

1998

The complexity of cover inequality separation.

[BibT_eX]

[DOI]

George L. Nemhauser

Craig A. Tovey

Oper. Res. Lett., 1998

The number of matchings of low order in hexagonal systems.

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[DOI]