| 2025 | AAAI | Searching for Unfairness in Algorithms' Outputs: Novel Tests and Insights. | Ian Davidson, S. S. Ravi |
| 2024 | AAAI | Cooperative Knowledge Distillation: A Learner Agnostic Approach. | Michael J. Livanos, Ian Davidson, Stephen Wong |
| 2024 | AIES | Foundations for Unfairness in Anomaly Detection - Case Studies in Facial Imaging Data. | Michael J. Livanos, Ian Davidson |
| 2024 | SDM | An Exemplars-Based Approach for Explainable Clustering: Complexity and Efficient Approximation Algorithms. | Ian Davidson, Michael J. Livanos, Antoine Gourru, Peter B. Walker, Julien Velcin, S. S. Ravi |
| 2024 | SDM | Identification and Uses of Deep Learning Backbones via Pattern Mining. | Michael J. Livanos, Ian Davidson |
| 2023 | AISTATS | Scalable Spectral Clustering with Group Fairness Constraints. | Ji Wang, Ding Lu, Ian Davidson, Zhaojun Bai |
| 2022 | KDD | Deep Learning for Prognosis Using Task-fMRI: A Novel Architecture and Training Scheme. | Ge Shi, Jason Smucny, Ian Davidson |
| 2021 | IJCAI | Deep Descriptive Clustering. | Hongjing Zhang, Ian Davidson |
| 2021 | KDD | Fairness and Explanation in Clustering and Outlier Detection. | Ian Davidson |
| 2020 | AAAI | Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights. | Ian Davidson, S. S. Ravi |
| 2020 | AAAI | Constraint Programming for an Efficient and Flexible Block Modeling Solver. | Alex Luca Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus |
| 2020 | AAAI | Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. | Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren |
| 2020 | DIS | Constrained Clustering via Post-processing. | Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson |
| 2020 | ECAI | A Framework for Determining the Fairness of Outlier Detection. | Ian Davidson, S. S. Ravi |
| 2020 | KDD | Block Model Guided Unsupervised Feature Selection. | Zilong Bai, Hoa Nguyen, Ian Davidson |
| 2020 | KDD | INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare. | Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson |
| 2020 | SDM | A Graph-Based Approach for Active Learning in Regression. | Hongjing Zhang, S. S. Ravi, Ian Davidson |
| 2019 | AAAI | Towards Fluid Machine Intelligence: Can We Make a Gifted AI? | Ian Davidson, Peter B. Walker |
| 2019 | CP | Generic Constraint-Based Block Modeling Using Constraint Programming. | Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus |
| 2019 | IJCAI | Dense Transformer Networks for Brain Electron Microscopy Image Segmentation. | Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji |
| 2019 | SOFTCOM | Approaches to Enhancing Transfer of Training using Adaptive Instructional Systems. | Jeremiah T. Folsom-Kovarik, Behrooz Mostafavi, Robert A. Sottilare, Ian Davidson, Ray Perez, Peter B. Walker |
| 2018 | AAAI | Human Guided Linear Regression With Feature-Level Constraints. | Aubrey Gress, Ian Davidson |
| 2018 | ICML | Extreme Learning to Rank via Low Rank Assumption. | Minhao Cheng, Ian Davidson, Cho-Jui Hsieh |
| 2018 | IJCAI | Descriptive Clustering: ILP and CP Formulations with Applications. | Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi, Christel Vrain, Ian Davidson |
| 2018 | KDD | Discovering Models from Structural and Behavioral Brain Imaging Data. | Zilong Bai, Buyue Qian, Ian Davidson |
| 2018 | SDM | Mixtures of Block Models for Brain Networks. | Zilong Bai, Peter B. Walker, Ian Davidson |
| 2018 | SDM | Image Constrained Blockmodelling: A Constraint Programming Approach. | Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson |
| 2017 | AAAI | A Framework for Minimal Clustering Modification via Constraint Programming. | Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson |
| 2017 | FlAIRS | Transfer Learning in Intelligent Tutoring Systems - Results, Challenges and New Directions. | Aubrey Gress, Jeremiah T. Folsom-Kovarik, Ian Davidson |
| 2017 | ICDM | Knowledge Guided Short-Text Classification for Healthcare Applications. | Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson |
| 2017 | ICDM | Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation. | Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson |
| 2017 | ICDM | Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction. | Tao Zeng, Bian Wu, Jiayu Zhou, Ian Davidson, Shuiwang Ji |
| 2017 | ICDM | Scalable Constrained Spectral Clustering via the Randomized Projected Power Method. | Weifeng Zhi, Buyue Qian, Ian Davidson |
| 2017 | KDD | Unsupervised Network Discovery for Brain Imaging Data. | Zilong Bai, Peter B. Walker, Anna E. Tschiffely, Fei Wang, Ian Davidson |
| 2016 | AAAI | A Framework for Outlier Description Using Constraint Programming. | Chia-Tung Kuo, Ian Davidson |
| 2016 | ECAI | A Framework for Actionable Clustering Using Constraint Programming. | Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong, Ian Davidson |
| 2016 | ICDM | Probabilistic Formulations of Regression with Mixed Guidance. | Aubrey Gress, Ian Davidson |
| 2016 | KDD | Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis. | Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn |
| 2016 | KDD | Accelerating Online CP Decompositions for Higher Order Tensors. | Shuo Zhou, Xuan Vinh Nguyen, James Bailey, Yunzhe Jia, Ian Davidson |
| 2015 | AAAI | Propagating Ranking Functions on a Graph: Algorithms and Applications. | Buyue Qian, Xiang Wang, Ian Davidson |
| 2015 | HCI | Constrained Tensor Decomposition via Guidance: Increased Inter and Intra-Group Reliability in fMRI Analyses. | Peter B. Walker, Sean Gilpin, Sidney G. Fooshee, Ian Davidson |
| 2015 | ICDM | Accurate Estimation of Generalization Performance for Active Learning. | Aubrey Gress, Ian Davidson |
| 2015 | KDD | Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation. | Chia-Tung Kuo, Xiang Wang, Peter B. Walker, Owen T. Carmichael, Jieping Ye, Ian Davidson |
| 2015 | KDD | Structural Graphical Lasso for Learning Mouse Brain Connectivity. | Sen Yang, Qian Sun, Shuiwang Ji, Peter Wonka, Ian Davidson, Jieping Ye |
| 2015 | SDM | A Framework for Simplifying Trip Data into Networks via Coupled Matrix Factorization. | Chia-Tung Kuo, James Bailey, Ian Davidson |
| 2014 | CIKM | A Flexible Framework for Projecting Heterogeneous Data. | Aubrey Gress, Ian Davidson |
| 2014 | ICDM | Spectral Clustering for Medical Imaging. | Chia-Tung Kuo, Peter B. Walker, Owen T. Carmichael, Ian Davidson |
| 2014 | KDD | Clinical risk prediction with multilinear sparse logistic regression. | Fei Wang, Ping Zhang, Buyue Qian, Xiang Wang, Ian Davidson |
| 2014 | SDM | Directed Interpretable Discovery in Tensors with Sparse Projection. | Chia-Tung Kuo, Ian Davidson |
| 2014 | SDM | Self-Taught Spectral Clustering via Constraint Augmentation. | Xiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson |
| 2013 | AAAI | Clustering with Complex Constraints - Algorithms and Applications. | Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson |
| 2013 | CIKM | Efficient hierarchical clustering of large high dimensional datasets. | Sean Gilpin, Buyue Qian, Ian Davidson |
| 2013 | ICDM | Active Matrix Completion. | Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye |
| 2013 | ICDM | Fast Pairwise Query Selection for Large-Scale Active Learning to Rank. | Buyue Qian, Xiang Wang, Jun Wang, Hongfei Li, Nan Cao, Weifeng Zhi, Ian Davidson |
| 2013 | ICML | Joint Transfer and Batch-mode Active Learning. | Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye |
| 2013 | IJCAI | Active Learning from Relative Queries. | Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson |
| 2013 | SDM | Active Learning to Rank using Pairwise Supervision. | Ian Davidson, Hongfei Li, Buyue Qian, Jun Wang, Xiang Wang |
| 2013 | SDM | Multi-objective Multi-view Spectral Clustering via Pareto Optimization. | Ian Davidson, Buyue Qian, Xiang Wang, Jieping Ye |
| 2012 | CIKM | Improving document clustering using automated machine translation. | Xiang Wang, Buyue Qian, Ian Davidson |
| 2012 | ICDM | Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering. | Xiang Wang, Buyue Qian, Ian Davidson |
| 2012 | ICISS | Keyless Steganography in Spatial Domain Using | Goutam Paul, Ian Davidson, Imon Mukherjee, S. S. Ravi |
| 2012 | KDD | Batch mode active sampling based on marginal probability distribution matching. | Rita Chattopadhyay, Zheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye |
| 2012 | KDD | Two approaches to understanding when constraints help clustering. | Ian Davidson |
| 2011 | KDD | Multi-source domain adaptation and its application to early detection of fatigue. | Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan, Wei Fan, Ian Davidson |
| 2010 | AAAI | Semi-Supervised Dimension Reduction for Multi-Label Classification. | Buyue Qian, Ian Davidson |
| 2010 | ICDM | Active Spectral Clustering. | Xiang Wang, Ian Davidson |
| 2010 | KDD | Unifying dependent clustering and disparate clustering for non-homogeneous data. | Mahmud Shahriar Hossain, Satish Tadepalli, Layne T. Watson, Ian Davidson, Richard F. Helm, Naren Ramakrishnan |
| 2010 | KDD | Flexible constrained spectral clustering. | Xiang Wang, Ian Davidson |
| 2010 | SDM | A SAT-based Framework for Efficient Constrained Clustering. | Ian Davidson, S. S. Ravi, Leonid Shamis |
| 2009 | ICDM | Discovering Contexts and Contextual Outliers Using Random Walks in Graphs. | Xiang Wang, Ian Davidson |
| 2009 | IJCAI | Knowledge Driven Dimension Reduction for Clustering. | Ian Davidson |
| 2009 | KDD | A principled and flexible framework for finding alternative clusterings. | Zijie Qi, Ian Davidson |
| 2008 | ICDM | Finding Alternative Clusterings Using Constraints. | Ian Davidson, Zijie Qi |
| 2007 | ICML | Intractability and clustering with constraints. | Ian Davidson, S. S. Ravi |
| 2007 | KDD | Efficient incremental constrained clustering. | Ian Davidson, S. S. Ravi, Martin Ester |
| 2007 | KDD | Constraint-driven clustering. | Rong Ge, Martin Ester, Wen Jin, Ian Davidson |
| 2007 | SDM | On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples. | Wei Fan, Ian Davidson |
| 2006 | AAAI | Identifying and Generating Easy Sets of Constraints for Clustering. | Ian Davidson, S. S. Ravi |
| 2006 | AAAI | When Is Constrained Clustering Beneficial, and Why?. | Kiri Wagstaff, Sugato Basu, Ian Davidson |
| 2006 | ICDM | Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. | Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li |
| 2006 | KDD | Reverse testing: an efficient framework to select amongst classifiers under sample selection bias. | Wei Fan, Ian Davidson |
| 2005 | FlAIRS | Active Learning with Partially Labeled Data via Bias Reduction. | Minoo Aminian, Ian Davidson |
| 2005 | ICDM | An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. | Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu |
| 2005 | ISMIS | A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition. | Ashwin Satyanarayana, Ian Davidson |
| 2005 | SDM | Clustering with Constraints: Feasibility Issues and the k-Means Algorithm. | Ian Davidson, S. S. Ravi |
| 2004 | AAAI | An Ensemble Technique for Stable Learners with Performance Bounds. | Ian Davidson |
| 2004 | ISAIM | Using the Central Limit Theorem for Belief Network Learning. | Ian Davidson, Minoo Aminian |
| 2004 | ISAIM | Bayesian Model Averaging Across Model Spaces via Compact Encoding. | Ke Yin, Ian Davidson |
| 2004 | IDEAL | An Information Theoretic Optimal Classifier for Semi-supervised Learning. | Ke Yin, Ian Davidson |
| 2004 | KDD | A general approach to incorporate data quality matrices into data mining algorithms. | Ian Davidson, Ashish Grover, Ashwin Satyanarayana, Giri Kumar Tayi |
| 2004 | KDD | Locating secret messages in images. | Ian Davidson, Goutam Paul |
| 2004 | PAKDD | Further Applications of a Particle Visualization Framework. | Ke Yin, Ian Davidson |
| 2003 | IAAI | Searching for Hidden Messages: Automatic Detection of Steganography. | George Berg, Ian Davidson, Ming-Yuan Duan, Goutam Paul |
| 2002 | SDM | Visualizing Clustering Results. | Ian Davidson |
| 2000 | UAI | Minimum Message Length Clustering Using Gibbs Sampling. | Ian Davidson |