Ian Davidson

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 73

Top Venues

CoRR

KDD

AAAI

SDM

Publications

Ian Davidson, Michael J. Livanos, Antoine Gourru, Peter B. Walker, Julien Velcin, S. S. Ravi
An Exemplars-Based Approach for Explainable Clustering: Complexity and Efficient Approximation Algorithms. SDM (2024)
Michael J. Livanos, Ian Davidson
Identification and Uses of Deep Learning Backbones via Pattern Mining. CoRR (2024)
Michael J. Livanos, Ian Davidson, Stephen Wong
Cooperative Knowledge Distillation: A Learner Agnostic Approach. CoRR (2024)
Michael J. Livanos, Ian Davidson
Identification and Uses of Deep Learning Backbones via Pattern Mining. SDM (2024)
Michael J. Livanos, Ian Davidson
Foundations for Unfairness in Anomaly Detection - Case Studies in Facial Imaging Data. CoRR (2024)
Ge Shi, Ziwen Kan, Jason Smucny, Ian Davidson
ChaosMining: A Benchmark to Evaluate Post-Hoc Local Attribution Methods in Low SNR Environments. CoRR (2024)
Michael J. Livanos, Ian Davidson, Stephen Wong
Cooperative Knowledge Distillation: A Learner Agnostic Approach. AAAI (2024)
Ian Davidson, Zilong Bai, Cindy Mylinh Tran, S. S. Ravi
Making clusterings fairer by post-processing: algorithms, complexity results and experiments. Data Min. Knowl. Discov. 37 (4) (2023)
Xianli Zhang, Buyue Qian, Yang Li, Shilei Cao, Ian Davidson
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Ji Wang, Ding Lu, Ian Davidson, Zhaojun Bai
Scalable Spectral Clustering with Group Fairness Constraints. AISTATS (2023)
Ji Wang, Ding Lu, Zhaojun Bai, Ian Davidson
Scalable Spectral Clustering with Group Fairness Constraints. CoRR (2022)
Ian Davidson, Michael J. Livanos, Antoine Gourru, Peter B. Walker, Julien Velcin, S. S. Ravi
Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms. CoRR (2022)
Ge Shi, Jason Smucny, Ian Davidson
Deep Learning for Prognosis Using Task-fMRI: A Novel Architecture and Training Scheme. KDD (2022)
Ian Davidson, S. S. Ravi
Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness. CoRR (2022)
Hongjing Zhang, Ian Davidson
Towards Fair Deep Anomaly Detection. FAccT (2021)
Hongjing Zhang, Ian Davidson
Deep Descriptive Clustering. IJCAI (2021)
Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson
A framework for deep constrained clustering. Data Min. Knowl. Discov. 35 (2) (2021)
Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus
Generic Constraint-based Block Modeling using Constraint Programming. J. Artif. Intell. Res. 70 (2021)
Hongjing Zhang, Ian Davidson
Deep Fair Discriminative Clustering. CoRR (2021)
Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson
A Framework for Deep Constrained Clustering. CoRR (2021)
Hongjing Zhang, Ian Davidson
Deep Descriptive Clustering. CoRR (2021)
Ian Davidson
Fairness and Explanation in Clustering and Outlier Detection. KDD (2021)
Hongjing Zhang, Tianyang Zhan, Ian Davidson
A Self-Supervised Deep Learning Framework for Unsupervised Few-Shot Learning and Clustering. Pattern Recognit. Lett. 148 (2021)
Hongjing Zhang, Ian Davidson
Towards Fair Deep Anomaly Detection. CoRR (2020)
Ian Davidson, Antoine Gourru, Julien Velcin, Yue Wu
Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections. Soc. Netw. Anal. Min. 10 (1) (2020)
Hongjing Zhang, S. S. Ravi, Ian Davidson
A Graph-Based Approach for Active Learning in Regression. CoRR (2020)
Hongjing Zhang, S. S. Ravi, Ian Davidson
A Graph-Based Approach for Active Learning in Regression. SDM (2020)
Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson
Constrained Clustering via Post-processing. DS (2020)
Alex Lucía Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus
Constraint Programming for an Efficient and Flexible Block Modeling Solver. AAAI (2020)
Zilong Bai, Hoa Nguyen, Ian Davidson
Block Model Guided Unsupervised Feature Selection. KDD (2020)
Ian Davidson, S. S. Ravi
Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights. AAAI (2020)
Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. AAAI (2020)
Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. CoRR (2020)
Zilong Bai, Hoa Nguyen, Ian Davidson
Block Model Guided Unsupervised Feature Selection. CoRR (2020)
Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson
INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare. KDD (2020)
Ian Davidson, S. S. Ravi
A Framework for Determining the Fairness of Outlier Detection. ECAI (2020)
Zilong Bai, S. S. Ravi, Ian Davidson
Towards Description of Block Model on Graph. ECML/PKDD (3) (2020)
Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson
Post-traitement pour la classification probabiliste non supervisée sous contraintes. EGC (2020)
Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation. IJCAI (2019)
Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus
Generic Constraint-Based Block Modeling Using Constraint Programming. CP (2019)
Hongjing Zhang, Sugato Basu, Ian Davidson
A Framework for Deep Constrained Clustering - Algorithms and Advances. ECML/PKDD (1) (2019)
Yue Wu, Leman Akoglu, Ian Davidson
Coverage-based Outlier Explanation. CoRR (2019)
Jeremiah T. Folsom-Kovarik, Behrooz Mostafavi, Robert A. Sottilare, Ian Davidson, Ray Perez, Peter B. Walker
Approaches to Enhancing Transfer of Training using Adaptive Instructional Systems. SoftCOM (2019)
Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus
Generic Constraint-Based Block Modeling Using Constraint Programming. BNAIC/BENELEARN (2019)
Hongjing Zhang, Sugato Basu, Ian Davidson
Deep Constrained Clustering - Algorithms and Advances. CoRR (2019)
Bokun Wang, Ian Davidson
Towards Fair Deep Clustering With Multi-State Protected Variables. CoRR (2019)
Ian Davidson, Peter B. Walker
Towards Fluid Machine Intelligence: Can We Make a Gifted AI? AAAI (2019)
Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson
Image Constrained Blockmodelling: A Constraint Programming Approach. SDM (2018)
Aubrey Gress, Ian Davidson
Probabilistic Formulations of Regression with Mixed Guidance. CoRR (2018)
Ian Davidson, Antoine Gourru, S. S. Ravi
The Cluster Description Problem - Complexity Results, Formulations and Approximations. NeurIPS (2018)
Minhao Cheng, Ian Davidson, Cho-Jui Hsieh
Extreme Learning to Rank via Low Rank Assumption. ICML (2018)
Chia-Tung Kuo, Ian Davidson
On The Equivalence of Tries and Dendrograms - Efficient Hierarchical Clustering of Traffic Data. CoRR (2018)
Zilong Bai, Buyue Qian, Ian Davidson
Discovering Models from Structural and Behavioral Brain Imaging Data. KDD (2018)
Zilong Bai, Peter B. Walker, Ian Davidson
Mixtures of Block Models for Brain Networks. SDM (2018)
Aubrey Gress, Ian Davidson
Human Guided Linear Regression With Feature-Level Constraints. AAAI (2018)
Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi, Christel Vrain, Ian Davidson
Descriptive Clustering: ILP and CP Formulations with Applications. IJCAI (2018)
Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson
A Framework for Minimal Clustering Modification via Constraint Programming. AAAI (2017)
Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson
Knowledge Guided Short-Text Classification for Healthcare Applications. ICDM (2017)
Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson
Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation. ICDM (2017)
Goutam Paul, Ian Davidson, Imon Mukherjee, S. S. Ravi
Keyless dynamic optimal multi-bit image steganography using energetic pixels. Multim. Tools Appl. 76 (5) (2017)
Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji
Dense Transformer Networks. CoRR (2017)
Sean Gilpin, Ian Davidson
A flexible ILP formulation for hierarchical clustering. Artif. Intell. 244 (2017)
Weifeng Zhi, Buyue Qian, Ian Davidson
Scalable Constrained Spectral Clustering via the Randomized Projected Power Method. ICDM (2017)
Zilong Bai, Peter B. Walker, Anna E. Tschiffely, Fei Wang, Ian Davidson
Unsupervised Network Discovery for Brain Imaging Data. KDD (2017)
Tao Zeng, Bian Wu, Jiayu Zhou, Ian Davidson, Shuiwang Ji
Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction. ICDM (2017)
Aubrey Gress, Ian Davidson
Transfer Regression via Pairwise Similarity Regularization. CoRR (2017)
Aubrey Gress, Jeremiah T. Folsom-Kovarik, Ian Davidson
Transfer Learning in Intelligent Tutoring Systems - Results, Challenges and New Directions. FLAIRS Conference (2017)
Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis. KDD (2016)
Shuo Zhou, Xuan Vinh Nguyen, James Bailey, Yunzhe Jia, Ian Davidson
Accelerating Online CP Decompositions for Higher Order Tensors. KDD (2016)
Sean Gilpin, Chia-Tung Kuo, Tina Eliassi-Rad, Ian Davidson
Some Advances in Role Discovery in Graphs. CoRR (2016)
Chia-Tung Kuo, Ian Davidson
A Framework for Outlier Description Using Constraint Programming. AAAI (2016)
Aubrey Gress, Ian Davidson
Probabilistic Formulations of Regression with Mixed Guidance. ICDM (2016)
Thi-Bich-Hanh Dao, Christel Vrain, Khanh-Chuong Duong, Ian Davidson
A Framework for Actionable Clustering Using Constraint Programming. ECAI (2016)
Aubrey Gress, Ian Davidson
Accurate Estimation of Generalization Performance for Active Learning. ICDM (2015)
Fei Wang, Gregor Stiglic, Zoran Obradovic, Ian Davidson
Guest editorial: Special issue on data mining for medicine and healthcare. Data Min. Knowl. Discov. 29 (4) (2015)
Yan Sun, Ian Davidson
Influential factors of online fraud occurrence in retailing banking sectors from a global prospective: An empirical study of individual customers in the UK and China. Inf. Comput. Secur. 23 (1) (2015)
Chia-Tung Kuo, Xiang Wang, Peter B. Walker, Owen T. Carmichael, Jieping Ye, Ian Davidson
Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation. KDD (2015)
Peter B. Walker, Ian Davidson
Learning Automated Agents from Historical Game Data via Tensor Decomposition. SBP (2015)
Buyue Qian, Xiang Wang, Ian Davidson
Propagating Ranking Functions on a Graph: Algorithms and Applications. AAAI (2015)
Buyue Qian, Xiang Wang, Jieping Ye, Ian Davidson
A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning. IEEE Trans. Knowl. Data Eng. 27 (3) (2015)
Peter B. Walker, Sidney G. Fooshee, Ian Davidson
Complex Interactions in Social and Event Network Analysis. SBP (2015)
Peter B. Walker, Sean Gilpin, Sidney G. Fooshee, Ian Davidson
Constrained Tensor Decomposition via Guidance: Increased Inter and Intra-Group Reliability in fMRI Analyses. HCI (15) (2015)
Sen Yang, Qian Sun, Shuiwang Ji, Peter Wonka, Ian Davidson, Jieping Ye
Structural Graphical Lasso for Learning Mouse Brain Connectivity. KDD (2015)
Chia-Tung Kuo, James Bailey, Ian Davidson
A Framework for Simplifying Trip Data into Networks via Coupled Matrix Factorization. SDM (2015)
Fei Wang, Ping Zhang, Buyue Qian, Xiang Wang, Ian Davidson
Clinical risk prediction with multilinear sparse logistic regression. KDD (2014)
Chia-Tung Kuo, Peter B. Walker, Owen T. Carmichael, Ian Davidson
Spectral Clustering for Medical Imaging. ICDM (2014)
Chia-Tung Kuo, Ian Davidson
Directed Interpretable Discovery in Tensors with Sparse Projection. SDM (2014)
Binbin Lin, Qingyang Li, Qian Sun, Ming-Jun Lai, Ian Davidson, Wei Fan, Jieping Ye
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation. CoRR (2014)
Buyue Qian, Xiang Wang, Nan Cao, Yu-Gang Jiang, Ian Davidson
Learning Multiple Relative Attributes With Humans in the Loop. IEEE Trans. Image Process. 23 (12) (2014)
Aubrey Gress, Ian Davidson
A Flexible Framework for Projecting Heterogeneous Data. CIKM (2014)
Xiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson
Self-Taught Spectral Clustering via Constraint Augmentation. SDM (2014)
Xiang Wang, Buyue Qian, Ian Davidson
On constrained spectral clustering and its applications. Data Min. Knowl. Discov. 28 (1) (2014)
Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson
Active Learning from Relative Queries. IJCAI (2013)
Ian Davidson, Hongfei Li, Buyue Qian, Jun Wang, Xiang Wang
Active Learning to Rank using Pairwise Supervision. SDM (2013)
Rita Chattopadhyay, Zheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye
Batch Mode Active Sampling Based on Marginal Probability Distribution Matching. ACM Trans. Knowl. Discov. Data 7 (3) (2013)
Sean Gilpin, Buyue Qian, Ian Davidson
Efficient hierarchical clustering of large high dimensional datasets. CIKM (2013)
Buyue Qian, Xiang Wang, Jun Wang, Hongfei Li, Nan Cao, Weifeng Zhi, Ian Davidson
Fast Pairwise Query Selection for Large-Scale Active Learning to Rank. ICDM (2013)
Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye
Active Matrix Completion. ICDM (2013)
Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye
Joint Transfer and Batch-mode Active Learning. ICML (3) (2013)
Mahmud Shahriar Hossain, Naren Ramakrishnan, Ian Davidson, Layne T. Watson
How to "alternatize" a clustering algorithm. Data Min. Knowl. Discov. 27 (2) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ian Davidson