| 2025 | SISAP | Intrinsic Dimension, Degrees of Freedom, Odds and Uniformity: A Unified Perspective. | James Bailey, Ricardo J. G. B. Campello, Michael E. Houle |
| 2025 | SISAP | Efficient Local Intrinsic Dimensionality Estimation in Evolving Deep Representations. | Michael E. Houle, Vincent Oria, Hao Xu |
| 2024 | ICLR | LDReg: Local Dimensionality Regularized Self-Supervised Learning. | Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey |
| 2024 | SDM | Dimensionality-Aware Outlier Detection. | Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek |
| 2024 | SISAP | Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration. | Michael E. Houle, Vincent Oria, Hamideh Sabaei |
| 2024 | SISAP | Bayesian Estimation Approaches for Local Intrinsic Dimensionality. | Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey |
| 2021 | SDM | A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. | Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle |
| 2021 | SISAP | Relationships Between Local Intrinsic Dimensionality and Tail Entropy. | James Bailey, Michael E. Houle, Xingjun Ma |
| 2021 | SISAP | The Effect of Random Projection on Local Intrinsic Dimensionality. | Michael E. Houle, Ken-ichi Kawarabayashi |
| 2020 | SISAP | Local Intrinsic Dimensionality III: Density and Similarity. | Michael E. Houle |
| 2019 | KDD | Improving the Quality of Explanations with Local Embedding Perturbations. | Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle |
| 2019 | SDM | Intrinsic Dimensionality Estimation within Tight Localities. | Laurent Amsaleg, Oussama Chelly, Michael E. Houle, Ken-ichi Kawarabayashi, Milos Radovanovic, Weeris Treeratanajaru |
| 2019 | SISAP | Subspace Determination Through Local Intrinsic Dimensional Decomposition. | Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek |
| 2018 | ICLR | Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. | Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey |
| 2018 | ICML | Dimensionality-Driven Learning with Noisy Labels. | Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey |
| 2018 | SISAP | LID-Fingerprint: A Local Intrinsic Dimensionality-Based Fingerprinting Method. | Michael E. Houle, Vincent Oria, Kurt Rohloff, Arwa M. Wali |
| 2018 | SISAP | On the Correlation Between Local Intrinsic Dimensionality and Outlierness. | Michael E. Houle, Erich Schubert, Arthur Zimek |
| 2018 | SISAP | Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs. | Lorenzo von Ritter, Michael E. Houle, Stephan Gnnemann |
| 2017 | SISAP | Local Intrinsic Dimensionality I: An Extreme-Value-Theoretic Foundation for Similarity Applications. | Michael E. Houle |
| 2017 | SISAP | Local Intrinsic Dimensionality II: Multivariate Analysis and Distributional Support. | Michael E. Houle |
| 2017 | SISAP | Improving k-NN Graph Accuracy Using Local Intrinsic Dimensionality. | Michael E. Houle, Vincent Oria, Arwa M. Wali |
| 2016 | ICPR | Measuring dependency via intrinsic dimensionality. | Simone Romano, Oussama Chelly, Vinh Nguyen, James Bailey, Michael E. Houle |
| 2015 | KDD | Estimating Local Intrinsic Dimensionality. | Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett |
| 2015 | SMC | A Non-hybrid Ant Colony Optimization Heuristic for Convergence Quality. | Kamil Krynicki, Michael E. Houle, Javier Jaen |
| 2015 | SISAP | Flexible Aggregate Similarity Search in High-Dimensional Data Sets. | Michael E. Houle, Xiguo Ma, Vincent Oria |
| 2014 | SISAP | Efficient Algorithms for Similarity Search in Axis-Aligned Subspaces. | Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun |
| 2013 | ICDM | Dimensionality, Discriminability, Density and Distance Distributions. | Michael E. Houle |
| 2013 | SISAP | Rank Cover Trees for Nearest Neighbor Search. | Michael E. Houle, Michael Nett |
| 2012 | ICDM | Generalized Expansion Dimension. | Michael E. Houle, Hisashi Kashima, Michael Nett |
| 2012 | ICDM | Dimensional Testing for Multi-step Similarity Search. | Michael E. Houle, Xiguo Ma, Michael Nett, Vincent Oria |
| 2012 | SISAP | Fast Similarity Computation in Factorized Tensors. | Michael E. Houle, Hisashi Kashima, Michael Nett |
| 2010 | CIKM | Active caching for similarity queries based on shared-neighbor information. | Michael E. Houle, Vincent Oria, Umar Qasim |
| 2010 | ICDM | Finding Local Anomalies in Very High Dimensional Space. | Timothy de Vries, Sanjay Chawla, Michael E. Houle |
| 2010 | PAKDD | A Set Correlation Model for Partitional Clustering. | Xuan Vinh Nguyen, Michael E. Houle |
| 2010 | SSDBM | Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? | Michael E. Houle, Hans-Peter Kriegel, Peer Krger, Erich Schubert, Arthur Zimek |
| 2009 | RecSys | A partial-order based active cache for recommender systems. | Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michael E. Houle, M. Tamer zsu |
| 2008 | SDM | The Relevant-set Correlation Model for Data Clustering. | Michael E. Houle |
| 2007 | CIKM | A correlation-based model for unsupervised feature selection. | Michael E. Houle, Nizar Grira |
| 2007 | ICDE | Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis. | Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Dat Phuoc Tat Nguyen |
| 2007 | ICML | Best of both: a hybridized centroid-medoid clustering heuristic. | Nizar Grira, Michael E. Houle |
| 2005 | ICDE | Fast Approximate Similarity Search in Extremely High-Dimensional Data Sets. | Michael E. Houle, Jun Sakuma |
| 2003 | KDD | Navigating massive data sets via local clustering. | Michael E. Houle |
| 2002 | SIROCCO | Dimension-Exchange Algorithms for Load Balancing on Trees. | Michael E. Houle, Antonios Symvonis, David R. Wood |
| 2001 | GD | Graph Drawing in Motion II. | Carsten Friedrich, Michael E. Houle |
| 2001 | ICSE | Fast Formal Analysis of Requirements via "Topoi Diagrams". | Tim Menzies, John D. Powell, Michael E. Houle |
| 2000 | COCOON | On Local Transformation of Polygons with Visibility Properties. | M. Carmen Hernando, Michael E. Houle, Ferran Hurtado |
| 1999 | ADC | Robust Clustering of Large Data Sets with Categorial Attributes. | Vladimir Estivill-Castro, Michael E. Houle |
| 1999 | ISAAC | Generalized Maximum Independent Sets for Trees in Subquadratic Time. | Binay K. Bhattacharya, Michael E. Houle |
| 1999 | PAKDD | Robust Clustering of Large Geo-referenced Data Sets. | Vladimir Estivill-Castro, Michael E. Houle |
| 1998 | GD | Approximation Algorithms for Finding Best Viewpoints. | Michael E. Houle, Richard Webber |
| 1997 | GD | Finding the Best Viewpoints for Three-Dimensional Graph Drawings. | Peter Eades, Michael E. Houle, Richard Webber |
| 1997 | GD | The Wobbly Logic Engine: Proving Hardness of Non-rigid Geometric Graph Representation Problems. | Sndor P. Fekete, Michael E. Houle, Sue Whitesides |
| 1997 | ITiCSE | Ethics, programming, and virtual environments. | Michael E. Houle |
| 1996 | ISAAC | Dimension-Exchange Token Distribution on the Mesh and the Torus. | Michael E. Houle, Gavin Turner |
| 1995 | GD | New Results on a Visibility Representation of Graphs in 3D. | Sndor P. Fekete, Michael E. Houle, Sue Whitesides |
| 1994 | ISAAC | Every Set of Disjoint Line Segments Admits a Binary Tree. | Prosenjit Bose, Michael E. Houle, Godfried T. Toussaint |
| 1989 | WADS | Weighted Orthogonal Linear L | Michael E. Houle, Hiroshi Imai, Keiko Imai, Jean-Marc Robert |