# Ian Davidson

According to our database

Collaborative distances:

^{1}, Ian Davidson authored at least 126 papers between 1985 and 2020.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### Homepage:

#### On csauthors.net:

## Bibliography

2020

Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections.

Social Netw. Analys. Mining, 2020

A Graph-Based Approach for Active Learning in Regression.

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Post-traitement pour la classification probabiliste non supervisée sous contraintes.

Proceedings of the Extraction et Gestion des Connaissances, 2020

Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability.

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Constraint Programming for an Efficient and Flexible Block Modeling Solver.

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights.

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Coverage-based Outlier Explanation.

CoRR, 2019

Deep Constrained Clustering - Algorithms and Advances.

CoRR, 2019

Towards Fair Deep Clustering With Multi-State Protected Variables.

CoRR, 2019

Approaches to Enhancing Transfer of Training using Adaptive Instructional Systems.

Proceedings of the 2019 International Conference on Software, 2019

A Framework for Deep Constrained Clustering - Algorithms and Advances.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Dense Transformer Networks for Brain Electron Microscopy Image Segmentation.

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Generic Constraint-Based Block Modeling Using Constraint Programming.

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Towards Fluid Machine Intelligence: Can We Make a Gifted AI?

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Clustering with Constraints.

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

On The Equivalence of Tries and Dendrograms - Efficient Hierarchical Clustering of Traffic Data.

CoRR, 2018

Image Constrained Blockmodelling: A Constraint Programming Approach.

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Mixtures of Block Models for Brain Networks.

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

The Cluster Description Problem - Complexity Results, Formulations and Approximations.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Discovering Models from Structural and Behavioral Brain Imaging Data.

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Descriptive Clustering: ILP and CP Formulations with Applications.

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Extreme Learning to Rank via Low Rank Assumption.

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

Human Guided Linear Regression With Feature-Level Constraints.

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Applications of Transductive Spectral Clustering Methods in a Military Medical Concussion Database.

IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Keyless dynamic optimal multi-bit image steganography using energetic pixels.

Multim. Tools Appl., 2017

Transfer Regression via Pairwise Similarity Regularization.

CoRR, 2017

Dense Transformer Networks.

CoRR, 2017

A flexible ILP formulation for hierarchical clustering.

Artif. Intell., 2017

Unsupervised Network Discovery for Brain Imaging Data.

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Scalable Constrained Spectral Clustering via the Randomized Projected Power Method.

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction.

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation.

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Knowledge Guided Short-Text Classification for Healthcare Applications.

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Transfer Learning in Intelligent Tutoring Systems - Results, Challenges and New Directions.

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

A Framework for Minimal Clustering Modification via Constraint Programming.

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

2016

Some Advances in Role Discovery in Graphs.

CoRR, 2016

Accelerating Online CP Decompositions for Higher Order Tensors.

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Probabilistic Formulations of Regression with Mixed Guidance.

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

A Framework for Actionable Clustering Using Constraint Programming.

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

A Framework for Outlier Description Using Constraint Programming.

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning.

IEEE Trans. Knowl. Data Eng., 2015

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., 2015

Guest editorial: Special issue on data mining for medicine and healthcare.

Data Min. Knowl. Discov., 2015

A Framework for Simplifying Trip Data into Networks via Coupled Matrix Factorization.

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Complex Interactions in Social and Event Network Analysis.

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Learning Automated Agents from Historical Game Data via Tensor Decomposition.

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Structural Graphical Lasso for Learning Mouse Brain Connectivity.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Accurate Estimation of Generalization Performance for Active Learning.

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Constrained Tensor Decomposition via Guidance: Increased Inter and Intra-Group Reliability in fMRI Analyses.

Proceedings of the Foundations of Augmented Cognition, 2015

Propagating Ranking Functions on a Graph: Algorithms and Applications.

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Learning Multiple Relative Attributes With Humans in the Loop.

IEEE Trans. Image Process., 2014

On constrained spectral clustering and its applications.

Data Min. Knowl. Discov., 2014

Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation.

CoRR, 2014

Self-Taught Spectral Clustering via Constraint Augmentation.

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Directed Interpretable Discovery in Tensors with Sparse Projection.

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Clinical risk prediction with multilinear sparse logistic regression.

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Spectral Clustering for Medical Imaging.

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A Flexible Framework for Projecting Heterogeneous Data.

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Batch Mode Active Sampling Based on Marginal Probability Distribution Matching.

ACM Trans. Knowl. Discov. Data, 2013

How to "alternatize" a clustering algorithm.

Data Min. Knowl. Discov., 2013

Multi-objective Multi-view Spectral Clustering via Pareto Optimization.

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Active Learning to Rank using Pairwise Supervision.

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Guided learning for role discovery (GLRD): framework, algorithms, and applications.

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Network discovery via constrained tensor analysis of fMRI data.

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Active Learning from Relative Queries.

Proceedings of the IJCAI 2013, 2013

Joint Transfer and Batch-mode Active Learning.

Proceedings of the 30th International Conference on Machine Learning, 2013

Fast Pairwise Query Selection for Large-Scale Active Learning to Rank.

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Active Matrix Completion.

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Guided Learning Algorithms: An Application of Constrained Spectral Partitioning to Functional Magnetic Resonance Imaging (fMRI).

Proceedings of the Foundations of Augmented Cognition, 2013

Efficient hierarchical clustering of large high dimensional datasets.

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Clustering with Complex Constraints - Algorithms and Applications.

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Formalizing Hierarchical Clustering as Integer Linear Programming.

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Multisource domain adaptation and its application to early detection of fatigue.

ACM Trans. Knowl. Discov. Data, 2012

Behavioral event data and their analysis.

Data Min. Knowl. Discov., 2012

A Reconstruction Error Formulation for Semi-Supervised Multi-task and Multi-view Learning

CoRR, 2012

Two approaches to understanding when constraints help clustering.

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Keyless Steganography in Spatial Domain Using

*Energetic*Pixels.
Proceedings of the Information Systems Security, 8th International Conference, 2012

Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering.

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Improving document clustering using automated machine translation.

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approach.

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Multi-source domain adaptation and its application to early detection of fatigue.

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Exploring New Methodologies for the Analysis of Functional Magnetic Resonance Imaging (fMRI) Following Closed-Head Injuries.

Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011

2010

MultiClust 2010: discovering, summarizing and using multiple clusterings.

SIGKDD Explorations, 2010

A SAT-based Framework for Efficient Constrained Clustering.

Proceedings of the SIAM International Conference on Data Mining, 2010

Flexible constrained spectral clustering.

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Unifying dependent clustering and disparate clustering for non-homogeneous data.

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Active Spectral Clustering.

Proceedings of the ICDM 2010, 2010

Semi-Supervised Dimension Reduction for Multi-Label Classification.

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Clustering with Constraints.

Proceedings of the Encyclopedia of Database Systems, 2009

Data preparation using data quality matrices for classification mining.

Eur. J. Oper. Res., 2009

Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results.

Data Min. Knowl. Discov., 2009

A principled and flexible framework for finding alternative clusterings.

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Knowledge Driven Dimension Reduction for Clustering.

Proceedings of the IJCAI 2009, 2009

Discovering Contexts and Contextual Outliers Using Random Walks in Graphs.

Proceedings of the ICDM 2009, 2009

2008

Finding Alternative Clusterings Using Constraints.

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Editorial: Special issue on mining low-quality data.

Knowl. Inf. Syst., 2007

The complexity of non-hierarchical clustering with instance and cluster level constraints.

Data Min. Knowl. Discov., 2007

On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples.

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Constraint-driven clustering.

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Efficient incremental constrained clustering.

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Intractability and clustering with constraints.

Proceedings of the Machine Learning, 2007

2006

Measuring Constraint-Set Utility for Partitional Clustering Algorithms.

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

When Efficient Model Averaging Out-Performs Boosting and Bagging.

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Reverse testing: an efficient framework to select amongst classifiers under sample selection bias.

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions.

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

When Is Constrained Clustering Beneficial, and Why?.

Proceedings of the Proceedings, 2006

Identifying and Generating Easy Sets of Constraints for Clustering.

Proceedings of the Proceedings, 2006

2005

Clustering with Constraints: Feasibility Issues and the k-Means Algorithm.

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results.

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition.

Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias.

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Active Learning with Partially Labeled Data via Bias Reduction.

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004

Further Applications of a Particle Visualization Framework.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Locating secret messages in images.

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

A general approach to incorporate data quality matrices into data mining algorithms.

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Bayesian Model Averaging Across Model Spaces via Compact Encoding.

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

Using the Central Limit Theorem for Belief Network Learning.

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

An Information Theoretic Optimal Classifier for Semi-supervised Learning.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

An Ensemble Technique for Stable Learners with Performance Bounds.

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

Searching for Hidden Messages: Automatic Detection of Steganography.

Proceedings of the Fifteenth Conference on Innovative Applications of Artificial Intelligence, 2003

2002

Visualizing Clustering Results.

Proceedings of the Second SIAM International Conference on Data Mining, 2002

2000

Minimum Message Length Clustering Using Gibbs Sampling.

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

1996

Using Background Contextual Knowledge for Document Representation.

Proceedings of the Principles of Document Processing, Third International Workshop, 1996

1985

Testing conformance to OSI standards.

Comput. Commun., 1985