Publications

  1. Machine Learning
  2. Operations Research 
  3. Technical Reports

Published, Forthcoming, and Submitted Journal Articles


Machine Learning
  1. Z. Zhang, D. Klabjan, and R. Manworren. DiffMVR: Diffusion-based Automated Multi-Guidance Video Restoration. (submitted for publication) 2024. [.pdf]
  2. Z. Su and D. Klabjan. Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization. (submitted for publication) 2024. [.pdf]
  3. Y. Ma, D. Klabjan and J. Utke. Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient. (submitted for publication) 2024 [.pdf]
  4. S. Wang and D. Klabjan. A Mirror Descent Perspective of Smoothed Sign Descent. (submitted for publication) 2024 [.pdf]
  5. M. Xu and D. Klabjan. Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit. (submitted for publication) 2024 [.pdf]
  6. J. Yang, D. Klabjan, H. Liu, N.S. Patel, X. Li, B. Ananthanarayanan, H. Dauod, T.H. Juang. Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling. (submitted for publication) 2024. [.pdf]
  7. Y. Zou, D. Klabjan, J. Utke, and H. Liu. Large Language Models for Automated Feature Engineering. (submitted for publication) 2024 [.pdf]
  8. A. Trevino Gavito, D. Klabjan, and S. Shah. Unsupervised Echocardiogram View Detection via Autoencoder-based Representation Learning. (submitted for publication) 2024 [.pdf]
  9. H. Wu and D. Klabjan. Robust Softmax Aggregation on Blockchain based Federated Learning with Convergence Guarantee. (submitted for publication) 2024 [.pdf]
  10. X. Liu and D.Klabjan. Unsupervised Player Tracking in Sport Videos. (submitted for publication) 2024. [.pdf]
  11. M. Xu and D.Klabjan. ​Regret Lower Bounds in Multi-agent Multi-armed Bandit. (submitted for publication) 2024. [.pdf]
  12. J. Jang, D. Klabjan, H. Liu, N.S. Patel, X. Li, B. Ananthanarayanan, H. Dauod, T-H Juang. Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints. (submitted for publication) 2023. [.pdf] [Appendix.pdf]
  13. R. Wang and D. Klabjan. Divergence Results and Convergence of a Variance Reduced version of ADAM. (submitted for publication) 2022. [.pdf] [appendix.pdf]
  14. N. Wang, H. Liu, and D. Klabjan. Large-Scale Multi-Document Summarization with Information Extraction and Compression. (submitted for publication) 2022. [.pdf]
  15. A. Sandler, D. Klabjan and Y. Luo. Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis. (submitted for publication) 2022. [.pdf]
  16. B. Fang, J. Utke and D. Klabjan. Tricks and Plugins to GBM on Images and Sequences. (submitted for publication) 2022. [.pdf]
  17. X. Liu, D. Klabjan and P. Bless. Data and Trend Extraction from Time Series Graphs. (submitted for publication) 2022 [.pdf]
  18. B. Fang, K. Rajshekhar, and D. Klabjan. Topic Analysis for Text with Side Data. (submitted for publication) 2021 [.pdf]
  19. M. Xu and D. Klabjan. Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms. (submitted for publication) 2024. [.pdf]
  20. X. Qian and D. Klabjan. The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent. (submitted for publication) 2024. [.pdf]
  21. B. Fang and D. Klabjan. Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network. (submitted for publication) 2019. [.pdf]
  22. X. Liu, D. Klabjan, and P. Bless. Data Extraction from Charts via Single Deep Neural Network (submitted for publication) 2019. [.pdf]
  23. A. Stec, D. Klabjan, and J. Utke. Unified Recurrent Neural Network for Many Feature Types (submitted for publication) 2018. [.pdf]
  24. A. Stec and D. Klabjan. Forecasting Crime with Deep Learning. (submitted for publication) 2017. [.pdf]
  25. B. Wang and D. Klabjan. An Attention-Based Deep Net for Learning to Rank. (submitted for publication) 2017. [.pdf]
  Peer-Reviewed Journal Publications​
  1. C. Kim, Y. Kim and D. Klabjan. Scale Invariant Power Iteration. To appear in Journal of Machine Learning Research. 2019. [.pdf]
  2. A. Cao, D. Klabjan, and Y. Luo. Open-Set Recognition of Breast Cancer Treatments. To appear in Artificial Intelligence in Medicine. 2022. [.pdf]
  3. Y. Ma and D. Klabjan, Diminishing Batch Normalization. To appear in IEEE Transactions on Neural Networks and Learning Systems, 2022. [.pdf] [appendix.pdf]
  4. J. Koo, D. Klabjan and J. Utke. Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. To appear in Expert Systems With Applications,
     2020 [.pdf]
  5. Q. Gao, Z. Luo and D. Klabjan, Efficient Architecture Search for Continual Learning. To appear in  IEEE Transactions on Neural Networks and Learning Systems, 2022. [.pdf]
  6. P. Wongchaisuwat and D. Klabjan. Truth Validation with Evidence. To appear in Knowledge and Information Systems, 2022. [.pdf]
  7. Y.W. Park and D. Klabjan. Subset Selection for Multiple Linear Regression via Optimization (submitted for publication). To appear in Journal of Global Optimization, 2020. [.pdf] [data.zip][appendix.pdf]
  8. J. Yang and D. Klabjan. Bayesian Active Learning for Choice Models with Deep Gaussian Processes. To appear in Transactions on Intelligent Transportation Systems, 2019 [.pdf]
  9. C. Kim and D. Klabjan, A Simple and Fast Algorithm for L1-norm Kernel PCA. To appear in Transactions on Pattern Analysis and Machine Intelligence, 2019 [.pdf]
  10. Y. Yang, S. Shebalov and D. Klabjan. Semi-supervised Learning for Discrete Choice Models. To appear in Transactions on Intelligent Transportation Systems, 2018 [.pdf]
  11. Y. Zeng and D. Klabjan. Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling. To appear in Knowledge-Based Systems, 2018. [.pdf]
  12. Y. Xue, Y. Luo and D. Klabjan. Predicting  ICU  readmission  using  grouped  physiological  and  medication  trends. To appear in Artificial Intelligence in Medicine, 2018. [.pdf]
  13. D. Klabjan, M. Di, L. Sha and P. Lucey. Large-scale Adversarial Sports Play Retrieval with Learning to Rank. To appear in ACM Transactions on Knowledge Discovery from Data, ​2017. [.pdf]
  14. Y.W. Park and D. Klabjan. Bayesian Network Learning via Topological Order. To appear in Journal of Machine Learning Research, 2017. [.pdf]
  15. Richards CT, Wang B, Markul E, Albarran F, Rottman D, Aggarwal NT, Lindeman P, Stein-Spencer L, Weber JM, Pearlman KS, Tataris KL, Holl JL, Klabjan D, Prabhakaran S. Identifying Key Words in 9-1-1 Calls for Stroke: A Mixed Methods Approach. To appear in Prehospital Emergency Care, 2017.
  16. Y.W. Park and D. Klabjan. Three Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. To appear in Knowledge and Information Systems, 2017. [.pdf] [Extended journal version of ICDM 2016 proceedings paper.]
  17. C. Borraz-Sanchez, J. Ma, D. Klabjan, E. Pasalic, and M. Aref. Algebraic modeling in Datalog. In Declarative Logic Programming: Theory, Systems, and Applications. Editors: Michael Kifer and Yanhong A. Liu. Publisher: Association for Computing Machinery and Morgan & Claypool. 2017. [.pdf]
  18. Y. Zeng and D. Klabjan. Portfolio Optimization of American Options. To appear in Journal of Computational Finance. [.pdf]
  19. M. Dixon, D. Klabjan, and J.H. Bang. Classication-based Financial Markets Prediction using Deep Neural Networks. To appear in Journal of Algorithmic Finance 2016. [.pdf]
  20. P. Wongchaisuwat, D. Klabjan, and S. Jonnalagadda. A Semi-supervised Learning Approach to Enhance Health Care Community-based Question Answering: A case Study in Alcoholism. To appear in JMIR Medical Informatics 2016. [.pdf]
  21. Y.W. Park and D. Klabjan. An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning. To appear in Machine Learning, 2016 [.pdf]
  22. Y.W. Park, Y. Jiang, D. Klabjan, L. Williams. Algorithms for Generalized Cluster-wise Linear Regression. To appear in INFORMS Journal on Computing. 2016. [.pdf] [data.zip]
  23. A. Lavin, D. Klabjan. Clustering Time-Series Energy Data from Smart Meters. To appear in Energy Efficiency. 2013. [.pdf] 
  24. A. Drachen, J. Riley, S. Baskin, D. Klabjan. Going Out of Business: Auction House Behavior in the Massively Multi-Player Online Game Glitch.  To appear in Entertainment Computing, 2014. [pdf']
  25. H. Gonzalez, J. Han, H. Cheng, X. Li, and D. Klabjan. Modeling Massive RFID Datasets: A Gateway-Based Movement-Graph Approach. IEEE Transactions on Knowledge and Data Engineering, vol 22, p 90-104. 2010. [.pdf]
  26. H. Gonzalez, J. Han, X. Li, and D. Klabjan. Warehousing and Analyzing Massive RFID Data Sets. Lecture Notes in Computer Science, vol 4093, p 1-18. 2006. [.pdf]
Peer-reviewed Proceedings
  1. T. Joo and D. Klabjan. Improving Self-training under Distribution Shifts via Anchored Confidence with Theoretical Guarantees. NeurIPS. Vancouver, BC, Canada. 2024. [.pdf]
  2. B. Fang, T. Vo and D. Klabjan. A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations. IEEE International Conference on Big Data. Washington DC. 2024. [.pdf]
  3. C. Kim, Y, Kim, D. Klabjan, and Y. Jambunath. Stochastic Scale Invariant Power Iteration for Kullback-Leibler Divergence Nonnegative Matrix Factorization. IEEE International Conference on Big Data. Washington DC. 2024. [.pdf]
  4. Y. Xue, D. Klabjan and J. Utke. Multimodal Learning on Temporal Data. IEEE International Conference on Big Data. Washington DC. 2024. [.pdf] (acceptance rate 20%)
  5. H. Li, D.Klabjan, ​and J.Utke. Unsupervised Video Summarization. 17th Asian Conference on Computer Vision. Hanoi, Vietnam, 2024. [.pdf] (acceptance rate 28%)
  6. Y. Xue, D. Klabjan and J.Utke. S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. International Conference on Machine Learning and Applications. Coral Gabels, 2024. [.pdf] (acceptance rate 24%)
  7. A. Treviño, J. Utke and D. Klabjan. Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. International Conference on Machine Learning and Applications. Coral Gabels, 2024. [.pdf] (acceptance rate 24%)
  8. T. Overman, D. Klabjan, and J. Utke. IIFE: Interaction Information Based Automated Feature Engineering. International Conference on Data Mining. Abu Dhabi. 2024 [.pdf] (acceptance rate 20%)
  9. H. Wu and D. Klabjan. Robust Softmax Aggregation on Blockchain based Federated Learning with Convergence Guarantee. IEEE Coins. London, UK. 2024 [.pdf] (acceptance rate 32%)
  10. S. Mu and D. Klabjan. On the Second-Order Convergence of Biased Policy Gradient Algorithms.  ICML. 2024. Vienna, Austria [.pdf] (acceptance rate 22%)
  11. T. Joo and D. Klabjan. IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation. ICML. 2024. Vienna, Austria [.pdf] (acceptance rate 22%)
  12. S. Wang and D. Klabjan. An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading. IEEE International Conference on Blockchain and Cryptocurrency, Dublin, Ireland 2024. [.pdf] (poster, acceptance rate of papers and posters 30%)
  13. G. Blum, R. Doris, D. Klabjan, H. Espinosa and R. Szalkowski. Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics. To appear in IEEE’s 9th International Conference on Big Data Analytics, Tokyo, Japan 2023. [.pdf] (acceptance rate 65%)
  14. T. Overman, G. Blum and D. Klabjan. A Primal-Dual Algorithm for Hybrid Federated Learning. AAAI, Vancouver, Canada 2024. [.pdf] [supplement.pdf] (acceptance rate 21%)
  15. Y. Ma and D. Klabjan. Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. IEEE International Conference on Big Data, Sorrento, Italy 2023. [.pdf] (acceptance rate 18%)
  16. S. Lim, D. Klabjan and M. Shapiro. Feature Acquisition Using Monte Carlo Tree Search. IEEE International Conference on Big Data, Sorrento, Italy 2023. [.pdf] [appendix.pdf] (acceptance rate 18%)
  17. S. Ger, Y. Jambunath and D. Klabjan. Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences IEEE International Conference on Big Data, Sorrento, Italy 2023.  [.pdf] (acceptance rate 18%)
  18. S. Ger, Y. Jambunath, D. Klabjan, J. Utke. Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. IEEE International Conference on Big Data, Sorrento, Italy 2023. [.pdf] (acceptance rate 18%)
  19. M. Xu and D.Klabjan. Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards. NeurIPS. New Orleans 2023. [.pdf] (acceptance rate 20%)
  20. A. Cao, J. Utke and D. Klabjan. Early Classifying Multimodal Sequences. 25th ACM International Conference on Multimodal Interaction. Paris, France 2023. [.pdf] (acceptance rate 40%)
  21. A. Cao, J. Utke and D. Klabjan. A Policy for Early Sequence Classification. 32nd International Conference on Artificial Neural Networks. Crete, Greece 2023. [.pdf] (acceptance rate 50%)
  22. A. Trevino-Gavito, D. Klabjan, and J.Utke. Gradient-boosted Based Structured and Unstructured Learning. 32nd International Conference on Artificial Neural Networks. Crete, Greece 2023. [.pdf] [appendix.pdf] (acceptance rate 50%)
  23. M. Xu and D. Klabjan. Pareto Regret Analyses in Multi-objective Multi-armed Bandit. International Conference on Machine Learning, Honolulu, HI 2023. [.pdf] (acceptance rate 22%)
  24. G. Ebrahimi and D. Klabjan. Neuron-based pruning of deep neural networks with better generalization using Kronecker factored curvature approximation. International Joint Conference on Neural Networks, Queensland, Australia 2023 [.pdf] (acceptance rate 15%)
  25. X. Qian, M. Kennedy and D. Klabjan. Dynamic Cell Structure via Recursive-Recurrent Neural Networks. IEEE International Conference on Big Data, Osaka, Japan 2022. [.pdf] (acceptance rate 18%).
  26. Y. Xue, D. Klabjan, and Y. Luo. Aggregation Delayed Federated Learning. IEEE International Conference on Big Data, Osaka, Japan 2022 [.pdf]
  27. Y. Xu and D. Klabjan. Open Set Domain Adaptation by Extreme Value Theory. IEEE International Conference on Big Data, Osaka, Japan 2022 [.pdf] (acceptance rate 18%).
  28. C. Ke, H. Deng, C. Xu, J. Li, X. Gu, B. Yadamsuren, D. Klabjan, R. Sifa, A. Drachen and S. Demediuk. DOTA 2 match prediction through deep learning team fight models. IEEE Conference on Games, Beijing, China, Virtual due to Covid 19 2022 [.pdf] (acceptance rate 41%)
  29. A. Ebrahimi, A. Stec, D. Klabjan, and J. Utke. Nested Multi-Instance Image Classification. International Conference on Pattern Recognition. Montreal 2022. [.pdf] (acceptance rate 50%)
  30. D. Klabjan and X. Zhu. Neural Network Retraining for Model Serving. IEEE International Conference on Big Data,  Virtual due to Covid 19 2021. [.pdf] (acceptance rate 18%)
  31. H. Wu and D. Klabjan, Logit-based Uncertainty Measure in Classification. IEEE International Conference on Big Data,  Virtual due to Covid 19 2021 [.pdf] (acceptance rate 18%)
  32. X. Wang, L. Zhang and D. Klabjan. Keyword-based Topic Modeling and Keyword Selection. IEEE International Conference on Big Data,  Virtual due to Covid 19 2021 [.pdf] (acceptance rate 18%)
  33. Y. Xu and D. Klabjan. Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. IEEE International Conference on Big Data,  Virtual due to Covid 19 2021 [.pdf] (acceptance rate 18%)
  34. S. Ger, D. Klabjan, and J. Utke. Classification Models for Partially Ordered Sequences. International Conference on Artificial Neural Networks, Virtual due to Covid 19 2021. [.pdf] (acceptance rate 48%)
  35. N. Byanna, G. Ebrahimi and D. Klabjan. Evaluating the Performance of Offensive Linemen in the NFL. ICMLDMSA: 15. International Conference on Machine Learning and Data Mining for Sports Analytics, Virtual due to Covid 19 2021. [.pdf] (acceptance rate 20%)
  36. G. Ebrahimi, C. Ge, D. Klabjan, D. Ladner, and P. Stride. Cirrhosis Mortality Prediction as Classification. 15th International Conference on Health Information Systems and Clinical Decision, Virtual due to Covid-19 2021. [.pdf] (acceptance rate 20%)
  37. X. Qian and D. Klabjan. A Probabilistic Approach to Neural Network Pruning. International Conference on Machine Learning, Virtual due to Covid-19 2021. [.pdf] (acceptance rate 22%)
  38. Y. Xu and D. Klabjan. k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks. International Joint Conferences on Artificial Intelligence (IJCAI), Virtual due to Covid-19 ​2021. [.pdf] [appendix] (acceptance rate 13.9%)
  39. G. Ebrahimi, B. Wang and D. Klabjan. Generative Adversarial Nets for Multiple Text Corpora. International Joint Conference on Neural Network (IJCNN), Virtual due to Covid-19  2021. [.pdf] (acceptance rate 57%)
  40. G. Ebrahimi, L. Zhang and D. Klabjan. Layer Flexible Adaptive Computational Time for Recurrent Neural Networks. International Joint Conference on Neural Network (IJCNN), Virtual due to Covid-19  2021. [.pdf] (acceptance rate 57%)
  41. M. Harmon, A. Ebrahimi, D. Klabjan, and P. Lucey. Predicting Shot Making in Basketball using Convolutional Neural Networks Learnt from Adversarial Multiagent Trajectories. International Conference on Computer Science in Sport and Exercise, Istanbul, Turkey. 2021 [.pdf] (acceptance rate 20%)
  42. A. Cao, Y. Luo and D. Klabjan. Open-Set Recognition with Gaussian Mixture Variational Autoencoders. AAAI, Virtual due to Covid-19  2020. [.pdf] [supplement.pdf] (acceptance rate 21%)
  43. J. Koo, D. Klabjan, and J. Utke. Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. IEEE International Conference on Big Data, Virtual due to Covid-19 2019. [.pdf] (acceptance rate 32%)
  44. M. Harmon and D. Klabjan. Dynamic Prediction Length for Time Series with Sequence to Sequence Network. ACM International Conference on AI in Finance, New York, NY  2020. [.pdf] (acceptance rate 48%)
  45. J. Koo and D. Klabjan. Improved classification based on Deep Belief Networks. 29th International Conference on Artificial Neural Networks (ICANN), Bratislava, Slovakia 2020. [.pdf] (acceptance rate 50%)
  46. Y. Xu, D. Rajpathak, I. Gibbs, D. Klabjan. Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data. 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KMIS), Budapest, Hungary 2020. [.pdf] (acceptance rate 17%)
  47. C. Kim and D. Klabjan. Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes. AISTATS, Palermo, Italy 2020. [.pdf] (acceptance rate 32%)
  48. R. Sifa, M. Fedell, N. Franklin, D. Klabjan, S. Ram, A. Venugopal, S. Demediuk, and A. Drachen. Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. Computing Conference, London, UK 2020. [pdf]
  49. M. Harmon and D. Klabjan. Activation Ensembles for Deep Neural Networks. IEEE International Conference on Big Data, Los Angeles, CA 2019. [.pdf] (acceptance rate 18%)
  50. Y. Xue, D. Klabjan, and Y. Luo. Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension. IEEE International Conference on Big Data, Log Angeles 2019. [.pdf] (acceptance rate 18%) [appendix.pdf]
  51. X. Zhu and D. Klabjan. Listwise Learning to Rank by Exploring Unique Ratings. The 13th ACM International Conference on Web Search and Data Mining (WSDM), Houston, TX 2020. [.pdf] (acceptance rate 15%)
  52. S. Demediuk, R. Joshi, Z. Wang, V. Gupta, X. Li, Y. Cui, D. Klabjan, A. Parsaeian, A. Drachen. A Team Based Player Versus Player Recommender Systems Framework for Player Improvement. Australasian Computer Science Week, Sydney, Australia 2019. [.pdf] (acceptance rate 45%) Best paper award
  53. X. Teng, A. Zufle, G. Trajcevski, and D. Klabjan. Location-Awareness in Time Series Compression. 22nd European Conference on Advances in Databases and Information Systems, Budapest, Hungary 2018. [.pdf] (acceptance rate 27%)
  54. X. Wang and D. Klabjan. Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations. International Conference on Machine Learning, Stockholm, Sweden 2018. [.pdf] (acceptance rate 25%)
  55. A. Drachen, E. Pawlakos, K. Zhai, S. Haran, R. Jha, R. Sifa, and D. Klabjan, Controlling the Crucible: A Novel PvP Recommender Systems Framework for Destiny. Australasian Computer Science Week, Brisbane, Australia 2018. [.pdf] (acceptance rate 45%)
  56. A. Drachen, J. Runge, R. Sifa, M. Pastor, A. Liu, D. J. Fontaine, Y. Chang, and D. Klabjan, To Be or Not to Be… Social: Incorporating Simple Social Features in Mobile Game Customer Lifetime Value Predictions. Australasian Computer Science Week, Brisbane, Australia 2018. [.pdf] (acceptance rate 45%)
  57. C. Qin, D. Russo, and D. Klabjan, Improving the Expected Improvement Algorithm. NIPS, Long Beach, CA 2017. [.pdf] (acceptance rate 20%)
  58. X. Zhu, D. Klabjan, and P. Bless.  Semantic Document Distance Measures and Unsupervised Document Revision Detection. International Joint Conference on Natural Language Processing, Taipei, Taiwan 2017 [.pdf] (acceptance rate 25%)
  59. X. Zhu, P. Bless, and D. Klabjan. Unsupervised Terminological Ontology Learning based on Hierarchical Topic Modeling. IEEE International Conference on Information Reuse and Integration, San Diego, CA 2017. [.pdf] (acceptance rate 29%); Best Student Paper
  60. P. Wongchaisuwat, D. Klabjan, J. McGinnis. Predicting Litigation Likelihood and Time to Litigation for Patents. The 16th International Conference on Artificial Intelligence and Law, London, UK 2017 [.pdf] (acceptance rate 37%)
  61. A. Nathan and D. Klabjan. Optimization for Large-Scale Machine Learning with Distributed Features and Observations, International Conference on Machine Learning and Data Mining, Newark, NY 2016 [.pdf] (acceptance rate 28%)
  62. B. Wang and D. Klabjan. Regularization for Unsupervised Deep Neural Nets. AAIA, San Francisco, CA 2017. [.pdf] [appendix.pdf](acceptance rate 26%)
  63. Y. Park and D. Klabjan (2016). Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. International Conference on Data Mining, Barcelona, Spain. [.pdf] (acceptance rate 20%)[data.zip code.zip]
  64. A. Drachen, E. Lundquist, Y. Kung, P. Rao, D. Klabjan, R. Sifa and J. Runge (2016). Rapid Prediction of Player Retention in Free-to-Play Mobile Games. The Twelfth Annual AAAI Conference of Artificial Intelligence and Interactive Digital Entertainment, San Francisco, CA. [.pdf] (acceptance rate 27.5%)    
  65. A. Drachen, J. Green, C. Gray, E. Harik, P. Lu, R. Sifa, and D. Klabjan (2016). Guns and Guardians: Comparative Cluster Analysis and Behavioral Profiling in Destiny. IEEE Computational Intelligence and Games Conference, Santorini, Greece.[.pdf]
  66. B. Wang and D. Klabjan. Time-Dependent Topic Analysis with Endogenous and Exogenous Processes. AAAI, Phoenix, AZ 2016 [.pdf] (acceptance rate 26%)
  67. M. Dixon, D. Klabjan, and J.H. Bang. Implementing Deep Neural Networks for Financial Market Prediction on the Intel Xeon Phi. Supercomputing, Austin, TX 2015 [.pdf] (acceptance rate 20%-25%)
  68. A. Drachen, D. Klabjan, M. Yancey, D. Chu, J. Maguire, Y. Wang. Skill-Based Differences in Spatio-Temporal Team Behavior in Defense of the Ancients 2. 6th IEEE Consumer Electronics Society Games, Entertainment, Media Conference, Toronto, 2014. [.pdf]
  69. E. Ko, D. Klabjan.  Semantic Properties of Customer Sentiment in Tweets. The 28th IEEE International Conference on Advanced Information Networking and Applications. Victoria, Canada, 2014. [.pdf] (acceptance rate 33%)
  70. H. Gonzales, J. Han, X. Li, and D. Klabjan. RFID-miner: Warehousing and Mining Massive RFID Data Sets. Proceedings of the International Conference on Advanced Data Mining and Applications, Xi'An, China. 2006. [.pdf] (acceptance rate 19%)
  Conference Proceedings 
  1. T. Jeong, D. Klabjan, and J. Starren. Predictive Analytics Using Smartphone Sensors for Depressive Episodes. HIAI 2016, Expanding the Boundaries of Health Informatics using AI, Phoenix, AZ [.pdf]

Operations Research
Transportation
  1. C. Borraz-Sanchez, D. Klabjan, and A. Uygur. An Approach for the Railway Multi-terrritory Dispatching Problem.To appear in Transportation Science 2019. [.pdf]
  2. F. Schneider, U. Thonemann, and D. Klabjan. Optimization of Battery Charging and Purchasing at Electric Vehicle Battery Swap Stations. To appear in Transportation Science 2017. [.pdf]
  3. D. Zhang and D. Klabjan. Optimization for Gate Re-assignment. To appear in Transportation Research Part B. 2016. [.pdf]
  4. C. Pun, D. Klabjan, F. Karaesmen, S. Shebalov. Itinerary-Based Nesting Control with Upsell. To appear in Journal of Revenue and Pricing Management. 2015. [.pdf]
  5. D. Wang, S. Shebalov, D. Klabjan. Attractiveness-Based Airline Network Models with Embedded Spill and Recapture.  Journal of Airline and Airport Management. Vol. 4, No. 1, p1-25. 2013. [.pdf]
  6. A. Wald, M. Harmon and D. Klabjan. Structural Deplaning via Simulation and Optimization. To appear in Journal of Air Transport Management  (2013). [.pdf]
  7. A. Seth, D. Klabjan, and P. Ferreira. Analyses of Advanced Iterated Tour Partitioning Heuristics for Generalized Vehicle Routing Problems. To appear in Networks. 2012. [.pdf]
  8. J. Ahn, O. de Weck, Y. Gang, and D. Klabjan. Generalized Location Routing Problem with Profits. European Journal of Operational Research, vol 223, p47-59. 2012. [.pdf]
  9. M. Sohoni, Y-C. Lee, and D. Klabjan. Block Time Estimation and Robust Airline Scheduling. Transportation Science, vol. 45, p451-464. 2010. [.pdf]
  10. S. Choo, D. Klabjan, and D. Simchi-Levi. Multi-ship Crane Sequencing with Yard Congestion Constraints. Transportation Science, vol. 44, p98-115. 2010. [.pdf]
  11. L. Schenk and D. Klabjan. Intra market Optimization for Express Package Carriers with Station to Station Travel and Proportional Sorting. Computers and Operations Research, vol. 37, p1749-1761. 2010. [.pdf]
  12. L. Schenk and D. Klabjan. Intra market Optimization for Express Package Carriers. Transportation Science, vol. 42, p 530-545. 2008. [.pdf]
  13. R. Sandhu and D. Klabjan. Fleeting with Passenger and Cargo Origin-Destination Booking Control. Transportation Science, vol 40, p 517-528. 2006. [.pdf]
  14. R. Sandhu and D. Klabjan. Integrated Airline Fleeting and Crew Pairing Decisions. Operations Research, vol. 55, p 439-456. 2006. [.pdf] 
  15. S. Shebalov and D. Klabjan. Robust Airline Crew Pairing: Move-up Crews. Transportation Science, vol. 40, p 300-312. 2006 [.pdf]
  16. D. Klabjan, E.L. Johnson, G.L. Nemhauser, E. Gelman, and S. Ramaswamy. Airline Crew Scheduling with Time Windows and Plane Count Constraints. Transportation Science, vol 36, p 337-348. 2002. [.pdf] [extended version .pdf]
  17. D. Klabjan, E.L. Johnson, G.L. Nemhauser, E. Gelman, and S. Ramaswamy. Solving Large Airline Crew Scheduling Problems: Random Pairing Generation and Strong Branching. Computational Optimization and Applications, vol 20, p 73-91. 2000. [.pdf]
  18. D. Klabjan, E.L. Johnson, G.L. Nemhauser, E. Gelman, and S. Ramaswamy. Airline Crew Scheduling with Regularity. Transportation Science, vol 35, p 359-374. 2001. [.pdf]
  19. A. Makri and D. Klabjan. A New Pricing Scheme for Airline Crew Scheduling. INFORMS Journal on Computing, vol. 16, p 56-67. 2004. [.pdf]
Integer Programming
  1. A. Seth, D. Klabjan, and P. Ferreira. A Novel Local Search Integer-Programming-Based Heuristic for PCB Assembly on Collect-and-Place machines.To appeared in Mathematical Programming Computation. 2009. [.pdf]
  2. Y.W. Park, D. Klabjan. Lot Sizing with Minimum Order Quantity. To Appear in Discrete Applied Mathematics. 2013. [.pdf]
  3. C. Almeder, D. Klabjan, and B. Almada-Lobo. Lead Time Considerations for the Multi-Level Capacitated Lot-sizing Problem.To appear in European Journal of Operational Research. 2009. [.pdf]
  4. B. Almada-Lobo, D. Klabjan, M.A. Carravilla, and J.F. Oliveira. Multiple Machine Multi-Item Continuous Setup Lotsizing with Sequence-dependent Setups. Computational Optimization and Applications, vol. 47, p 529-552. 2007. [.pdf] 
  5. B. Almada-Lobo, D. Klabjan, M.A. Carravilla, and J.F. Oliveira. Single Machine Multi-product Capacitated Lotsizing with Sequence-dependent Setups, International Journal of Production Research, vol 45, p 4873-4894. 2007. [.pdf]
  6. S. Shebalov, Y. W. Park, and D. Klabjan (2015), Lifting for Mixed Integer Programs with Variable Upper Bounds. Discrete Applied Mathematics (2015) Volume 186, pp226-250. [.pdf] [appendix.pdf]
  7. Y. Zhao and D. Klabjan. Sequence Independent Lifting for Mixed Integer Programs with Variable Upper Bonds. Mathematical Programming, vol. 105, p 523-561. [.pdf]
  8. D. Klabjan and G.L. Nemhauser. A Polyhedral Study of Integer Variable Upper Bonds. Mathematics of Operations Research, vol 27, p 711-739. 2002. [.pdf]
  9. D. Klabjan. Subadditive Approaches in Integer Programming. European Journal of Operational Research, vol. 183, p 525-545. 2007. [.pdf] [extended version .pdf]
  10. D. Klabjan. Practical Algorithm for Computing the Subadditive Dual Function for Set Partitioning. Computational Optimization and Applications, vol 29, p 347-368. 2004 [.pdf]
Supply Chain Management
  1. N. Craig, N. DeHoratius and D. Klabjan, Execution Quality and Chargeback Penalties in Retail Supply Chains. To appear in Journal of Operations Management. 2020. [.pdf]
  2. C. Kim, D. Klabjan, and D. Simchi-Levi. Optimal Expediting Policies for an Invetory System with Stochastic Lead Time under Radio Frequency Identification. To appear in Production and Operations Management. 2015 [.pdf]
  3. F. Schneider, and D. Klabjan. Inventory Control in Multi-channel Retail. European Journal of Operational Research, vol. 227, p 101-111. 2013. [.pdf]
  4. J. Pei and D. Klabjan. Inventory Control in Serial Systems under Radio Frequency Identification. International Journal of Production in Economics, vol 123, p 118-136. 2010 [.pdf]
  5. S. Chang, D. Klabjan, and T. Vossen. Optimal Radio Frequency Identification Deployment in a Supply Chain Network. International Journal of Production Economics, vol. 125, p 71-83. 2010. [.pdf]
  6. N. Halman, D. Klabjan, M. Mostagir, J. Orlin,  D. Simchi-Levi, A Fully Polynomial Time Approximation Scheme for Single-Item Stochastic Inventory Control Problems with Discrete Demand. Mathematics of Operations Research 34 (2009) 674-685 [.pdf]
  7. D. Klabjan and J. Pei. In-store One-to-One Marketing. Journal of Retailing and Consumer Services, vol 18, p 64-73. 2011. [.pdf]
  8. N. Craig, J. Yan, N. DiHoratius and D. Klabjan (2015).  An Analysis of Fulfillment Errors in a Retail Distribution Center. To appear in Journal of Operations Management [.pdf]
  9. D. Adelman and D. Klabjan. Computing Near Optimal Policies in Generalized Joint Replenishment. INFORMS Journal on Computing, vol 24, p 148-164. 2010. [.pdf]
  10. M. Song, D. Klabjan, and D. Simchi-Levi. Robust Stochastic Lot-Sizing by Means of Histograms. Production and Operations Management, vol. 22, p 691-710. 2013. [.pdf]
  11. D. Klabjan and D. Adelman, A Convergent Infinite Dimensional Linear Programming Algorithm for Deterministic Semi-Markov Decision Processes on Borel Spaces. Mathematics of Operations Research, vol 32, p 528-550. 2007. [.pdf]
  12. D. Adelman and D. Klabjan. Duality and Existence of Optimal Policies in Generalized Joint Replenishment. Mathematics of Operations Research, vol. 30, p 28-50. 2005. [.pdf]
  13. D. Klabjan and D. Adelman. Existence of Optimal Policies for Semi-Markov Decision Processes Using Duality for Infinite Linear Programming. SIAM Journal on Control and Optimization, vol 44, p 2104-2122. 2006 [.pdf]
Miscellaneous
  1. J. Mays and D. Klabjan. Optimization of Time-Varying Electricity Rates. To appear in The Energy Journal. 2016. [.pdf]
  2. T. Sweda, I. Dolinskaya, D. Klabjan. Optimal Recharging Policies for Electric Vehicles. To appear in Transportation Science. 2016. [.pdf]
  3. T. Sweda, I. Dolinskaya, D. Klabjan. Adaptive Routing and Recharging Policies for Electric Vehicles. To appear in Transportation Science. 2016. [.pdf]
  4. Y. Zeng, D. Klabjan, J. Arinez. Distributed Solar Renewable Generation: Option Contracts with Renewable Energy Credit Uncertainty. Energy Economics. 2014. [.pdf]
  5. T. Sweda and D. Klabjan, An Agent-Based Information System for Electric Vehicle Charging Infrastructure Deployment, To appear in ASCE Journal of Infrastructure Systems 2014. [.pdf]
  6. L. Guimaraes, D. Klabjan, B. Almada-Lobo. Modeling Lotsizing and Scheduling Problems with Sequence Dependent Setups. To appear in European Journal of Operational Research. 2013. [.pdf]
  7. D. Klabjan, W. Olszewski, A.Wolinsky. Attributes. To appear in Games and Economic Behavior. 2012. [.pdf]
  8. P. Pei, D. Klabjan. Approximations to Auctions for Digital Goods with Externality. To appear in Electronic Commerce Research and Applications. 2012. [.pdf]
  9. L. Guimaraes, D. Klabjan, B. Almada-Lobo. Pricing, Relaxing, and Fixing under Lotsizing and Scheduling. European Journal of Operational Research, vol 230. p 399-411. 2013. [.pdf] 
  10. D. Klabjan and C. Borraz. Optimal Placement of Reconfigurable Optical Add/Drop Multiplexers with Packing, Blocking, and Signal Loss. Computer Networks, vol. 57, p 1443-1458. 2013. [.pdf]
  11. L. Guimaraes, D. Klabjan, B. Almada-Lobo. Annual Production Budget in the Beverage Industry. International Scientific Journal Engineering Applications of Artificial Intelligence, vol. 25, p 229-241. 2012. [.pdf]
  12. N. Halman, D. Klabjan, C-L. Li, J. Orlin and D. Simchi-Levi (2014), Fully Polynomial Time Approximation Schemes for Convex and Monotone Stochastic Dynamic Programming. To appear in SIAM Journal on Discrete Mathematics. [.pdf]
  13. P. Bless, D. Klabjan, and S. Chang. Heuristics for Automated Knowledge Source Selection and Service Composition. Computers and Operations Research, vol. 35, p 1292-1314. 2008. [.pdf]
  14. P. Bless, D. Klabjan, and S. Chang. Automated Knowledge Source Selection and Service Composition. Computational Optimization and Applications, vol. 52, p 507-535. 2011. [.pdf]
  15. P.N. Bless, S.G. Kapoor, R.E. DeVor, and D. Klabjan. An Algorithmic Strategy for Automated Development of Multi-component Software Tools for Virtual manufacturing. Journal of Manufacturing Science and Engineering, vol. 127, p 866-874. 2005. [.pdf]
  16. A. Makri and D. Klabjan. Algorithms for Source-to-all Maximum Cost to Time Ratio Problem in Acyclic networks. Networks, vol 42, p 1-14. 2003. [.pdf]
  17. A. Arora and D. Klabjan. A Model for Budget Allocation in Multi-unit libraries. Library Collections, Acquisitions, and Technical Services, vol. 26, p 423-438. 2002. [.pdf]
  18. D. Klabjan, E.L. Johnson, and G.L. Nemhauser. A Parallel Primal-Dual Simplex Algorithm. Operations Research Letters, vol. 27, p 47-55. 2000. [.pdf]
  19. D. Klabjan and B. Mohar. The Number of Matchings of Low Order in Hexagonal Systems. Discrete Mathematics, vol 186, p 167-175. 1998. [.pdf]
  20. D. Klabjan, C. Tovey, and G.L. Nemhauser. Cover Inequality Separation is NP-hard. Operations Research Letters, vol. 23, p 35-40. 1998. [.pdf]
Technical Reports
  1. M. F. Dixon, D. Klabjan and L Wei. OSTSC: Over Sampling for Time Series Classification in R. (submitted for publication) 2017. [.pdf]
  2. M. Di, D. Klabjan, and S. Shebalov. Solving Attractiveness-based Stochastic Fleeting by MapReduce (submitted for publication) 2016. [.pdf]
  3. M. Di, D. Klabjan, and E. Rantanen. Power Grid Visualization by Means of Optimization. (submitted for publication). 2016 [.pdf]    
  4. L. Guimaraes, D. Klabjan and B. Almada-Lobo. Rolling Horizon Formulations for Short-to-Medium Term Production Planning. (submitted for publication). 2015. [.pdf]
  5. F. Schneider, D. Klabjan, U. Thonemann. Optimal Incorporating Demand Response with Load Shifting into Stochastic Unit Commitment. Working paper (submitted for publication). 2013. [.pdf]
  6. C. Kim, D. Klabjan, and D. Simchi-Levi. Optimal Policy for Expediting Orders in Transit. Working paper (submitted for publication). 2006. [.pdf]
  7. C. Kim, D. Klabjan, D. Simchi-Levi.Optimal Expediting Policies for an Inventory System with Expiry. Working paper (submitted for publication) 2012. [.pdf]
  8. J. Yang, D. Klabjan, and J. Schoenbeck. The Economics of Same-day Delivery by Means of a Variable Neighborhood-based Heuristic. Submitted for publication, 2016. [.pdf]
  9. C. Lindsey, A. Frei, H. S. Mahmassani, H. Alibabai, Y.W. Park, D. Klabjan, M. Reed, G. Langheim, T. Keating. Online Pricing and Capacity Sourcing for Third Party Logistics Providers. Working paper (submitted for publication). 2013. [.pdf]
  10. C.S. Pun, D. Klabjan. Air Cargo Allotment Planning. Working paper (submitted for publication). 2013. [.pdf]
  11. C. Lindsey, A. Frei, H. Alibabai, H. S. Mahmassani, Y.W. Park, D. Klabjan, M. Reed, G. Langheim, T. Keating. Modeling Carrier Truckload Freight Rates in Spot Markets. Working paper (submitted for publication). 2013. [.pdf]
  12. Y. Geng, D. Klabjan. Freight Consolidation on a Single Lane. Submitted for publication, 2014. [.pdf]
  13. Y. Geng, D. Klabjan. Approximate Dynamic Programming Based Approaches for Green Supply Chain Design. Working paper (submitted for publication). 2013. [.pdf]
  14. Y. Jiang, D. Klabjan. Optimal Emissions Reduction Investment under Green House gas Emissions Regulations. Working paper (submitted for publication). 2012. [.pdf]
  15. M. Bundschuh, D. Klabjan, P. Pei, and D. Thurston. Modeling Robust and Reliable Supply Chains. Technical Reports. 2003. [.pdf]
  16. Y. Jiang, and D. Klabjan. Business-to-Consumer Single Period Fulfillment Strategies. Technical report. 2005. [.pdf]
  17. O. de Weck, D. Klabjan, C. Taylor, D. Simchi-Levi, J. Ahn, E. Gralla, and S. Shull. Interplanetary Supply Chain Management and Logistics at NASA. Working paper (submitted for publication). 2008. [.pdf]
  18. A. Seth, D. Klabjan, and P. Ferreira. Assembly Optimization for High-Volume High-Flexibility Robotic PCB Assembly. 2009. [.pdf]
  19. L. Li, C.S. Pun, and D. Klabjan. Single Item Lot-Sizing Problem with Minimum Order Quantity. 2008. [.pdf]
  20. D. Klabjan. Algorithms for Lot-sizing with Supplier Selection. 2008 [.pdf]
  21. D. Klabjan, Economic Order Quantity for Business-to-Consumer Fulfillment. 2007. [.pdf]
  22. J. Pei, D. Klabjan, F. Karaesmen. Pricing of Digital Goods vs. Physical Goods. 2013. [.pdf]
  23. P. Pei, D. Klabjan, F. Karaesmen. Auctions under Shareability and Externality. 2012 [.pdf]