The number of matchings of low order in hexagonal systems. - Diego Klabjan; Bojan Mohar (Discret. Math., 1998)

The complexity of cover inequality separation. - Diego Klabjan; George L. Nemhauser; Craig A. Tovey (Oper. Res. Lett., 1998)

A parallel primal-dual simplex algorithm. - Diego Klabjan; Ellis L. Johnson; George L. Nemhauser (Oper. Res. Lett., 2000)

Airline Crew Pairing Generation in Parallel. - Diego Klabjan; Karsten Schwan (PP, 2001)

Solving Large Airline Crew Scheduling Problems: Random Pairing Generation and Strong Branching. - Diego Klabjan; Ellis L. Johnson; George L. Nemhauser; Eric Gelman; Srini Ramaswamy (Comput. Optim. Appl., 2001)

Airline Crew Scheduling with Regularity. - Diego Klabjan; Ellis L. Johnson; George L. Nemhauser; Eric Gelman; Srini Ramaswamy (Transp. Sci., 2001)

Abstracts for the 2000 Transportation Science Section Dissertation Prize Competition. - Paolo Toth; Hillel Bar-Gera; Diego Klabjan; Roberto Baldacci; Cenk Çaliskan; Christina Diakaki; Lasse Fridström; Vijay S. Nori (Transp. Sci., 2001)

A New Subadditive Approach to Integer Programming. - Diego Klabjan (IPCO, 2002)

A Polyhedral Study of Integer Variable Upper Bounds. - Diego Klabjan; George L. Nemhauser (Math. Oper. Res., 2002)

Airline Crew Scheduling with Time Windows and Plane-Count Constraints. - Diego Klabjan; Ellis L. Johnson; George L. Nemhauser; Eric Gelman; Srini Ramaswamy (Transp. Sci., 2002)

Algorithms for source-to-all maximum cost-to-time ratio problem in acyclic networks. - Alexandra Makri; Diego Klabjan (Networks, 2003)

A Practical Algorithm for Computing a Subadditive Dual Function for Set Partitioning. - Diego Klabjan (Comput. Optim. Appl., 2004)

A New Pricing Scheme for Airline Crew Scheduling. - Alexandra Makri; Diego Klabjan (INFORMS J. Comput., 2004)

Duality and Existence of Optimal Policies in Generalized Joint Replenishment. - Daniel Adelman; Diego Klabjan (Math. Oper. Res., 2005)

Warehousing and Mining Massive RFID Data Sets. - Jiawei Han 001; Hector Gonzalez; Xiaolei Li 001; Diego Klabjan (ADMA, 2006)

Warehousing and Analyzing Massive RFID Data Sets. - Hector Gonzalez; Jiawei Han 001; Xiaolei Li 001; Diego Klabjan (ICDE, 2006)

Sequence Independent Lifting for Mixed Integer Programs with Variable Upper Bounds. - Sergey Shebalov; Diego Klabjan (Math. Program., 2006)

Existence of Optimal Policies for Semi-Markov Decision Processes Using Duality for Infinite Linear Programming. - Diego Klabjan; Daniel Adelman (SIAM J. Control. Optim., 2006)

Fleeting with Passenger and Cargo Origin-Destination Booking Control. - Rivi Sandhu; Diego Klabjan (Transp. Sci., 2006)

Robust Airline Crew Pairing: Move-up Crews. - Sergey Shebalov; Diego Klabjan (Transp. Sci., 2006)

Subadditive approaches in integer programming. - Diego Klabjan (Eur. J. Oper. Res., 2007)

Integrated Airline Fleeting and Crew-Pairing Decisions. - Rivi Sandhu; Diego Klabjan (Oper. Res., 2007)

An Infinite-Dimensional Linear Programming Algorithm for Deterministic Semi-Markov Decision Processes on Borel Spaces. - Diego Klabjan; Daniel Adelman (Math. Oper. Res., 2007)

Heuristics for automated knowledge source integration and service composition. - Patrick N. Bless; Diego Klabjan; Soo Y. Chang (Comput. Oper. Res., 2008)

Intramarket Optimization for Express Package Carriers. - Luke Schenk; Diego Klabjan (Transp. Sci., 2008)

Topology Formation for Wireless Mesh Network Planning. - Chun-cheng Chen; Chandra Chekuri; Diego Klabjan (INFOCOM, 2009)

A Fully Polynomial-Time Approximation Scheme for Single-Item Stochastic Inventory Control with Discrete Demand. - Nir Halman; Diego Klabjan; Mohamed Mostagir; James B. Orlin; David Simchi-Levi (Math. Oper. Res., 2009)

Multiple machine continuous setup lotsizing with sequence-dependent setups. - Bernardo Almada-Lobo; Diego Klabjan; Maria Antónia Carravilla; José Fernando Oliveira (Comput. Optim. Appl., 2010)

Intra market optimization for express package carriers with station to station travel and proportional sorting. - Luke Schenk; Diego Klabjan (Comput. Oper. Res., 2010)

Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach. - Hector Gonzalez; Jiawei Han 001; Hong Cheng 001; Xiaolei Li 001; Diego Klabjan; Tianyi Wu (IEEE Trans. Knowl. Data Eng., 2010)

Multiship Crane Sequencing with Yard Congestion Constraints. - Shawn Choo; Diego Klabjan; David Simchi-Levi (Transp. Sci., 2010)

Robust Airline Scheduling Under Block-Time Uncertainty. - Milind G. Sohoni; Yu-Ching Lee; Diego Klabjan (Transp. Sci., 2011)

Automated knowledge source selection and service composition. - Patrick N. Bless; Diego Klabjan; Soo Y. Chang (Comput. Optim. Appl., 2012)

A polyhedral study of lot-sizing with supplier selection. - Yijia Zhao; Diego Klabjan (Discret. Optim., 2012)

Annual production budget in the beverage industry. - Luís Guimarães; Diego Klabjan; Bernardo Almada-Lobo (Eng. Appl. Artif. Intell., 2012)

Column generation based heuristics for a generalized location routing problem with profits arising in space exploration. - Jaemyung Ahn; Olivier L. de Weck; Yue Geng; Diego Klabjan (Eur. J. Oper. Res., 2012)

Computing Near-Optimal Policies in Generalized Joint Replenishment. - Daniel Adelman; Diego Klabjan (INFORMS J. Comput., 2012)

Optimal placement of reconfigurable optical add/drop multiplexers with packing, blocking, and signal loss. - Conrado Borraz-Sánchez; Diego Klabjan (Comput. Networks, 2013)

Pricing, relaxing and fixing under lot sizing and scheduling. - Luís Guimarães; Diego Klabjan; Bernardo Almada-Lobo (Eur. J. Oper. Res., 2013)

Inventory control in multi-channel retail. - Frank Schneider; Diego Klabjan (Eur. J. Oper. Res., 2013)

Analyses of advanced iterated tour partitioning heuristics for generalized vehicle routing problems. - Anupam Seth; Diego Klabjan; Placid M. Ferreira (Networks, 2013)

Semantic Properties of Customer Sentiment in Tweets. - Eun Hee Ko; Diego Klabjan (AINA Workshops, 2014)

Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2). - Anders Drachen; Matthew Yancey; John Maguire; Derrek Chu; Iris Yuhui Wang; Tobias Mahlmann; Matthias Schubert; Diego Klabjan (GEM, 2014)

Approximations to auctions of digital goods with share-averse bidders. - Jinxiang Pei; Diego Klabjan; Wei Xie (Electron. Commer. Res. Appl., 2014)

Going out of business: Auction house behavior in the Massively Multi-player Online Game Glitch. - Anders Drachen; Joseph Riley; Shawna Baskin; Diego Klabjan (Entertain. Comput., 2014)

Modeling lotsizing and scheduling problems with sequence dependent setups. - Luís Guimarães; Diego Klabjan; Bernardo Almada-Lobo (Eur. J. Oper. Res., 2014)

Attributes. - Diego Klabjan; Wojciech Olszewski; Asher Wolinsky (Games Econ. Behav., 2014)

Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs. - Nir Halman; Diego Klabjan; Chung-Lun Li; James B. Orlin; David Simchi-Levi (SIAM J. Discret. Math., 2014)

Guest Editorial: Special Issue on Energy and Transportation. - Diego Klabjan; Warren B. Powell (Transp. Sci., 2014)

Implementing deep neural networks for financial market prediction on the Intel Xeon Phi. - Matthew Dixon; Diego Klabjan; Jin Hoon Bang (WHPCF@SC, 2015)

Lot sizing with minimum order quantity. - Young Woong Park; Diego Klabjan (Discret. Appl. Math., 2015)

Lifting for mixed integer programs with variable upper bounds. - Sergey Shebalov; Young Woong Park; Diego Klabjan (Discret. Appl. Math., 2015)

Lead time considerations for the multi-level capacitated lot-sizing problem. - Christian Almeder; Diego Klabjan; Renate Traxler; Bernardo Almada-Lobo (Eur. J. Oper. Res., 2015)

Temporal Topic Analysis with Endogenous and Exogenous Processes. - Baiyang Wang; Diego Klabjan (AAAI, 2016)

Rapid Prediction of Player Retention in Free-to-Play Mobile Games. - Anders Drachen; Eric Thurston Lundquist; Yungjen Kung; Pranav Simha Rao; Rafet Sifa; Julian Runge; Diego Klabjan (AIIDE, 2016)

Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny. - Anders Drachen; James Green; Chester Gray; Elie Harik; Patty Lu; Rafet Sifa; Diego Klabjan (CIG, 2016)

Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. - Young Woong Park; Diego Klabjan (ICDM, 2016)

Classiffication-based Financial Markets Prediction using Deep Neural Networks. - Matthew Dixon; Diego Klabjan; Jin Hoon Bang (CoRR, 2016)

Going Out of Business: Auction House Behavior in the Massively Multi-Player Online Game. - Anders Drachen; Joseph Riley; Shawna Baskin; Diego Klabjan (CoRR, 2016)

Predicting Shot Making in Basketball using Convolutional Neural Networks Learnt from Adversarial Multiagent Trajectories. - Mark Harmon; Patrick Lucey; Diego Klabjan (CoRR, 2016)

Predictive Analytics Using Smartphone Sensors for Depressive Episodes. - Taeheon Jeong; Diego Klabjan; Justin Starren (CoRR, 2016)

Algorithms for Generalized Cluster-wise Linear Regression. - Young Woong Park; Yan Jiang; Diego Klabjan; Loren Williams (CoRR, 2016)

An aggregate and iterative disaggregate algorithm with proven optimality in machine learning. - Young Woong Park; Diego Klabjan (Mach. Learn., 2016)

A new novel local search integer-programming-based heuristic for PCB assembly on collect-and-place machines. - Anupam Seth; Diego Klabjan; Placid M. Ferreira (Math. Program. Comput., 2016)

Regularization for Unsupervised Deep Neural Nets. - Baiyang Wang; Diego Klabjan (AAAI, 2017)

Predicting litigation likelihood and time to litigation for patents. - P. Wongchaisuwat; Diego Klabjan; John O. McGinnis (ICAIL, 2017)

Semantic Document Distance Measures and Unsupervised Document Revision Detection. - Xiaofeng Zhu 004; Diego Klabjan; Patrick N. Bless (IJCNLP(1), 2017)

Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling. - Xiaofeng Zhu 004; Diego Klabjan; Patrick N. Bless (IRI, 2017)

Optimization for Large-Scale Machine Learning with Distributed Features and Observations. - Alexandros Nathan; Diego Klabjan (MLDM, 2017)

Improving the Expected Improvement Algorithm. - Chao Qin; Diego Klabjan; Daniel Russo 001 (NIPS, 2017)

Classification-based financial markets prediction using deep neural networks. - Matthew Dixon; Diego Klabjan; Jin Hoon Bang (Algorithmic Finance, 2017)

Convergence Analysis of Batch Normalization for Deep Neural Nets. - Yintai Ma; Diego Klabjan (CoRR, 2017)

An Attention-Based Deep Net for Learning to Rank. - Baiyang Wang; Diego Klabjan (CoRR, 2017)

L1-norm Kernel PCA. - Cheolmin Kim; Diego Klabjan (CoRR, 2017)

Generative Adversarial Nets for Multiple Text Corpora. - Baiyang Wang; Diego Klabjan (CoRR, 2017)

Algorithms for Generalized Clusterwise Linear Regression. - Young Woong Park; Yan Jiang; Diego Klabjan; Loren Williams (INFORMS J. Comput., 2017)

Bayesian Network Learning via Topological Order. - Young Woong Park; Diego Klabjan (J. Mach. Learn. Res., 2017)

Optimal Recharging Policies for Electric Vehicles. - Timothy M. Sweda; Irina S. Dolinskaya; Diego Klabjan (Transp. Sci., 2017)

Adaptive Routing and Recharging Policies for Electric Vehicles. - Timothy M. Sweda; Irina S. Dolinskaya; Diego Klabjan (Transp. Sci., 2017)

SolverBlox: algebraic modeling in datalog. - Conrado Borraz-Sánchez; Diego Klabjan; Emir Pasalic; Molham Aref (Declarative Logic Programming, 2018)

To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions. - Anders Drachen; Mari Pastor; Aron Liu; Dylan Jack Fontaine; Yuan Chang; Julian Runge; Rafet Sifa; Diego Klabjan (ACSW, 2018)

Controlling the crucible: a novel PvP recommender systems framework for destiny. - Rafet Sifa; Eric Pawlakos; Kevin Zhai; Sai Haran; Rohan Jha; Diego Klabjan; Anders Drachen (ACSW, 2018)

Location-Awareness in Time Series Compression. - Xu Teng; Andreas Züfle; Goce Trajcevski; Diego Klabjan (ADBIS, 2018)

Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations. - Xingyu Wang; Diego Klabjan (ICML, 2018)

A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations. - Biyi Fang; Diego Klabjan (CoRR, 2018)

Forecasting Crime with Deep Learning. - Alexander Stec; Diego Klabjan (CoRR, 2018)

Dynamic Prediction Length for Time Series with Sequence to Sequence Networks. - Mark Harmon; Diego Klabjan (CoRR, 2018)

Nested multi-instance classification. - Alexander Stec; Diego Klabjan; Jean Utke (CoRR, 2018)

Unified recurrent neural network for many feature types. - Alexander Stec; Diego Klabjan; Jean Utke (CoRR, 2018)

Layer Flexible Adaptive Computational Time for Recurrent Neural Networks. - Lida Zhang; Diego Klabjan (CoRR, 2018)

Three iteratively reweighted least squares algorithms for L1 -norm principal component analysis. - Young Woong Park; Diego Klabjan (Knowl. Inf. Syst., 2018)

Large-Scale Adversarial Sports Play Retrieval with Learning to Rank. - Mingyang Di; Diego Klabjan; Long Sha; Patrick Lucey (ACM Trans. Knowl. Discov. Data, 2018)

Optimization of Battery Charging and Purchasing at Electric Vehicle Battery Swap Stations. - Frank Schneider; Ulrich W. Thonemann; Diego Klabjan (Transp. Sci., 2018)

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. - Rishabh Joshi; Varun Gupta 004; Xinyue Li; Yue Cui; Ziwen Wang; Yaser Norouzzadeh Ravari; Diego Klabjan; Rafet Sifa; Azita Parsaeian; Anders Drachen; Simon Demediuk (ACSW, 2019)

Activation Ensembles for Deep Neural Networks. - Diego Klabjan; Mark Harmon (IEEE BigData, 2019)

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. - Ye Xue; Diego Klabjan; Yuan Luo 001 (IEEE BigData, 2019)

The trails of Just Cause 2: spatio-temporal player profiling in open-world games. - Myat Aung; Simon Demediuk; Yuan Sun; Ye Tu; Yu Ang; Siva Nekkanti; Shantanu Raghav; Diego Klabjan; Rafet Sifa; Anders Drachen (FDG, 2019)

Predicting ICU readmission using grouped physiological and medication trends. - Ye Xue; Diego Klabjan; Yuan Luo 001 (Artif. Intell. Medicine, 2019)

Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences. - Stephanie Ger; Diego Klabjan (CoRR, 2019)

Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network. - Biyi Fang; Diego Klabjan (CoRR, 2019)

Data Extraction from Charts via Single Deep Neural Network. - Xiaoyi Liu; Diego Klabjan; Patrick N. Bless (CoRR, 2019)

Conditional Hierarchical Bayesian Tucker Decomposition. - Adam Sandler; Diego Klabjan; Yuan Luo 001 (CoRR, 2019)

Online adaptive machine learning based algorithm for implied volatility surface modeling. - Yaxiong Zeng; Diego Klabjan (Knowl. Based Syst., 2019)

Semi-Supervised Learning for Discrete Choice Models. - Jie Yang 045; Sergey Shebalov; Diego Klabjan (IEEE Trans. Intell. Transp. Syst., 2019)

Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes. - Cheolmin Kim; Diego Klabjan (AISTATS, 2020)

Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. - Jaehoon Koo; Diego Klabjan; Jean Utke (IEEE BigData, 2020)

Automatic Ontology Learning from Domain-specific Short Unstructured Text Data. - Yiming Xu; Dnyanesh Rajpathak 001; Ian Gibbs; Diego Klabjan (KMIS, 2020)

Dynamic prediction length for time series with sequence to sequence network. - Diego Klabjan; Mark Harmon (ICAIF, 2020)

Improved Classification Based on Deep Belief Networks. - Jaehoon Koo; Diego Klabjan (ICANN (1), 2020)

Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. - Rafet Sifa; Michael Fedell; Nathan Franklin; Diego Klabjan; Shiva Ram; Arpan Venugopal; Simon Demediuk; Anders Drachen (SAI (1), 2020)

Listwise Learning to Rank by Exploring Unique Ratings. - Xiaofeng Zhu 004; Diego Klabjan (WSDM, 2020)

The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent. - Xin Qian; Diego Klabjan (CoRR, 2020)

Neural Network Retraining for Model Serving. - Diego Klabjan; Xiaofeng Zhu 004 (CoRR, 2020)

Efficient Architecture Search for Continual Learning. - Qiang Gao; Zhipeng Luo; Diego Klabjan (CoRR, 2020)

Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms. - Mengfan Xu; Diego Klabjan (CoRR, 2020)

Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. - Jaehoon Koo; Diego Klabjan; Jean Utke (CoRR, 2020)

Subset selection for multiple linear regression via optimization. - Young Woong Park; Diego Klabjan (J. Glob. Optim., 2020)

A Simple and Fast Algorithm for L1-Norm Kernel PCA. - Cheolmin Kim; Diego Klabjan (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

An Approach for the Railway Multiterritory Dispatching Problem. - Conrado Borraz-Sánchez; Diego Klabjan; Alper Uygur (Transp. Sci., 2020)

Open-Set Recognition with Gaussian Mixture Variational Autoencoders. - Alexander Cao; Yuan Luo 001; Diego Klabjan (AAAI, 2021)

Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games. - Rafet Sifa; Anders Drachen; Florian Block; Spencer Moon; Anisha Dubhashi; Hao Xiao; Zili Li 008; Diego Klabjan; Simon Demediuk (ACSW, 2021)

Continual Neural Network Model Retraining. - Xiaofeng Zhu 004; Diego Klabjan (IEEE BigData, 2021)

Keyword-based Topic Modeling and Keyword Selection. - Xingyu Wang; Lida Zhang; Diego Klabjan (IEEE BigData, 2021)

Logit-based Uncertainty Measure in Classification. - Huiyu Wu; Diego Klabjan (IEEE BigData, 2021)

Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. - Yiming Xu; Diego Klabjan (IEEE BigData, 2021)

Classification Models for Partially Ordered Sequences. - Stephanie Ger; Diego Klabjan; Jean Utke (ICANN (1), 2021)

A Probabilistic Approach to Neural Network Pruning. - Xin Qian; Diego Klabjan (ICML, 2021)

k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks. - Yiming Xu; Diego Klabjan (IJCAI, 2021)

Generative Adversarial Nets for Multiple Text Corpora. - Abdolghani Ebrahimi; Diego Klabjan; Baiyang Wang (IJCNN, 2021)

Layer Flexible Adaptive Computation Time. - Lida Zhang; Abdolghani Ebrahimi; Diego Klabjan (IJCNN, 2021)

Non-Convex Optimization with Spectral Radius Regularization. - Adam Sandler; Diego Klabjan; Yuan Luo 001 (CoRR, 2021)

Bayesian Active Learning for Choice Models With Deep Gaussian Processes. - Jie Yang 045; Diego Klabjan (IEEE Trans. Intell. Transp. Syst., 2021)

Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games. - Xin Qian; Rafet Sifa; Xuefei Liu; Shreyashi Ganguly; Borchuluun Yadamsuren; Diego Klabjan; Anders Drachen; Simon Demediuk (ACSW, 2022)

Dynamic Cell Structure via Recursive-Recurrent Neural Networks. - Xin Qian; Matthew Kennedy; Diego Klabjan (IEEE Big Data, 2022)

Open Set Domain Adaptation by Extreme Value Theory. - Yiming Xu; Diego Klabjan (IEEE Big Data, 2022)

Aggregation Delayed Federated Learning. - Ye Xue; Diego Klabjan; Yuan Luo 001 (IEEE Big Data, 2022)

DOTA 2 match prediction through deep learning team fight models. - Cheng Hao Ke; Haozhang Deng; Congda Xu; Jiong Li; Xingyun Gu; Borchuluun Yadamsuren; Diego Klabjan; Rafet Sifa; Anders Drachen; Simon Demediuk (CoG, 2022)

Nested Multi-view Image Classification. - Abdolghani Ebrahimi; Alexander Stec; Diego Klabjan; Jean Utke (ICPR, 2022)

Tricks and Plugins to GBM on Images and Sequences. - Biyi Fang; Jean Utke; Diego Klabjan (CoRR, 2022)

Topic Analysis for Text with Side Data. - Biyi Fang; Kripa Rajshekhar; Diego Klabjan (CoRR, 2022)

Large-Scale Multi-Document Summarization with Information Extraction and Compression. - Ning Wang; Han Liu 001; Diego Klabjan (CoRR, 2022)

Divergence Results and Convergence of a Variance Reduced Version of ADAM. - Ruiqi Wang; Diego Klabjan (CoRR, 2022)

Truth validation with evidence. - Papis Wongchaisuwat; Diego Klabjan (Knowl. Inf. Syst., 2022)

Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification. - Stephanie Ger; Yegna Subramanian Jambunath; Diego Klabjan (IEEE Big Data, 2023)

Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. - Stephanie Ger; Yegna Subramanian Jambunath; Diego Klabjan; Jean Utke (IEEE Big Data, 2023)

Feature Acquisition Using Monte Carlo Tree Search. - Sungsoo Lim; Diego Klabjan; Mark Shapiro (IEEE Big Data, 2023)

Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. - Yintai Ma; Diego Klabjan (IEEE Big Data, 2023)

A Policy for Early Sequence Classification. - Alexander Cao; Jean Utke; Diego Klabjan (ICANN (1), 2023)

Gradient-Boosted Based Structured and Unstructured Learning. - Andrea Treviño Gavito; Diego Klabjan; Jean Utke (ICANN (3), 2023)

Early Classifying Multimodal Sequences. - Alexander Cao; Jean Utke; Diego Klabjan (ICMI, 2023)

Pareto Regret Analyses in Multi-objective Multi-armed Bandit. - Mengfan Xu; Diego Klabjan (ICML, 2023)

Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation. - Abdolghani Ebrahimi; Diego Klabjan (IJCNN, 2023)

Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards. - Mengfan Xu; Diego Klabjan (NeurIPS, 2023)

Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. - Andrea Treviño Gavito; Diego Klabjan; Jean Utke (CoRR, 2023)

S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. - Ye Xue; Diego Klabjan; Jean Utke (CoRR, 2023)

Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints. - Jaeyeon Jang; Diego Klabjan; Han Liu 001; Nital S. Patel; Xiuqi Li; Balakrishnan Ananthanarayanan; Husam Dauod; Tzung-Han Juang (CoRR, 2023)

Regret Lower Bounds in Multi-agent Multi-armed Bandit. - Mengfan Xu; Diego Klabjan (CoRR, 2023)

Preliminary Analysis on Second-Order Convergence for Biased Policy Gradient Methods. - Siqiao Mu; Diego Klabjan (CoRR, 2023)

Unsupervised Video Summarization. - Hanqing Li; Diego Klabjan; Jean Utke (CoRR, 2023)

Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics. - Garrett Blum; Ryan Doris; Diego Klabjan; Horacio Espinosa; Ron Szalkowski (CoRR, 2023)

An inverse classification framework with limited budget and maximum number of perturbed samples. - Jaehoon Koo; Diego Klabjan; Jean Utke (Expert Syst. Appl., 2023)

Scale Invariant Power Iteration. - Cheolmin Kim; Youngseok Kim; Diego Klabjan (J. Mach. Learn. Res., 2023)

Open-set recognition of breast cancer treatments. - Alexander Cao; Diego Klabjan; Yuan Luo 001 (Artif. Intell. Medicine, 2023)

Efficient Architecture Search for Continual Learning. - Qiang Gao; Zhipeng Luo; Diego Klabjan; Fengli Zhang (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Primal-Dual Algorithm for Hybrid Federated Learning. - Tom Overman; Garrett Blum; Diego Klabjan (AAAI, 2024)

Robust Softmax Aggregation on Blockchain based Federated Learning with Convergence Guarantee. - Huiyu Wu; Diego Klabjan (COINS, 2024)

An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading. - Shuyang Wang; Diego Klabjan (ICBC, 2024)

IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation. - Taejong Joo; Diego Klabjan (ICML, 2024)

On the Second-Order Convergence of Biased Policy Gradient Algorithms. - Siqiao Mu; Diego Klabjan (ICML, 2024)

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit. - Mengfan Xu; Diego Klabjan (CoRR, 2024)

Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network. - Jaeyeon Jang; Diego Klabjan; Veena Mendiratta; Fanfei Meng (CoRR, 2024)

IIFE: Interaction Information Based Automated Feature Engineering. - Tom Overman; Diego Klabjan; Jean Utke (CoRR, 2024)

Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions. - Siqiao Mu; Diego Klabjan (CoRR, 2024)

Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization. - Haemin Park; Diego Klabjan (CoRR, 2024)

Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling. - Jaeyeon Jang; Diego Klabjan; Han Liu 001; Nital S. Patel; Xiuqi Li; Balakrishnan Ananthanarayanan; Husam Dauod; Tzung-Han Juang (CoRR, 2024)

Diminishing Batch Normalization. - Yintai Ma; Diego Klabjan (IEEE Trans. Neural Networks Learn. Syst., 2024)