| 2026 | ESANN | Fairness in machine learning: A Compact Survey. | Jeremy de Bodt, Dounia Mulders, Cyril de Bodt, John A. Lee, Marco Saerens |
| 2025 | AIES | Fairness-Aware Post-Processing in Supervised Classification: L1/L2 Norm and Optimal Swapping Methods. | Flore Vancompernolle Vromman, Sylvain Courtain, Pierre Leleux, Marco Saerens |
| 2017 | ICANN | Modularity-Driven Kernel k-means for Community Detection. | Felix Sommer, Franois Fouss, Marco Saerens |
| 2016 | ICANN | Comparison of Graph Node Distances on Clustering Tasks. | Felix Sommer, Franois Fouss, Marco Saerens |
| 2016 | LREC | Combining Manual and Automatic Prosodic Annotation for Expressive Speech Synthesis. | Sandrine Brognaux, Thomas Franois, Marco Saerens |
| 2014 | ESANN | The Sum-over-Forests clustering. | Mathieu Senelle, Marco Saerens, Franois Fouss |
| 2014 | WWW | Random walks based modularity: application to semi-supervised learning. | Robin Devooght, Amin Mantrach, Ilkka Kivimki, Hugues Bersini, Alejandro Jaimes, Marco Saerens |
| 2014 | WWW | A time-based collective factorization for topic discovery and monitoring in news. | Carmen K. Vaca, Amin Mantrach, Alejandro Jaimes, Marco Saerens |
| 2013 | EMNLP | Centering Similarity Measures to Reduce Hubs. | Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu |
| 2012 | AAAI | Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction. | Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens |
| 2010 | ICPR | Normalized Sum-over-Paths Edit Distances. | Silvia Garca-Dez, Franois Fouss, Masashi Shimbo, Marco Saerens |
| 2008 | ESANN | QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games. | Benot Frnay, Marco Saerens |
| 2008 | KDD | A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances. | Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shimbo |
| 2007 | ICWS | Dynamic Web Service Composition within a Service-Oriented Architecture. | Ivan Jureta, Stphane Faulkner, Youssef Achbany, Marco Saerens |
| 2007 | PAKDD | Graph Nodes Clustering Based on the Commute-Time Kernel. | Luh Yen, Franois Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens |
| 2006 | ICANN | Optimal Tuning of Continual Online Exploration in Reinforcement Learning. | Youssef Achbany, Franois Fouss, Luh Yen, Alain Pirotte, Marco Saerens |
| 2006 | ICDM | An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. | Franois Fouss, Luh Yen, Alain Pirotte, Marco Saerens |
| 2005 | ESANN | clustering using a random walk based distance measure. | Luh Yen, Denis Vanvyve, Fabien Wouters, Franois Fouss, Michel Verleysen, Marco Saerens |
| 2003 | ICDM | Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains. | Franois Fouss, Marco Saerens, Jean-Michel Renders |
| 2001 | ICML | Adjusting the Outputs of a Classifier to New a Priori Probabilities May Significantly Improve Classification Accuracy: Evidence from a multi-class problem in remote sensing. | Patrice Latinne, Marco Saerens, Christine Decaestecker |
| 1996 | ICML | Non Mean Square Error Criteria for the Training of Learning Machines. | Marco Saerens |
| 1995 | ICASSP | Viterbi algorithm for acoustic vectors generated by a linear stochastic differential equation on each state. | Marco Saerens |
| 1994 | Interspeech | A comparison of different acoustic and articulatory representations for the determination of place of articulation of plosives. | Alain Soquet, Marco Saerens |
| 1993 | ICML | Adaptive NeuroControl: How Black Box and Simple can it be. | Jean-Michel Renders, Hugues Bersini, Marco Saerens |
| 1993 | Interspeech | Linear and nonlinear prediction for speech recognition with hidden Markov models. | Marco Saerens, Herv Bourlard |
| 1993 | Interspeech | Performance comparison of hidden Markov models and neural networks for task dependent and independent isolated word recognition. | Herv Bourlard, Jean-Marc Boite, Bart D'hoore, Marco Saerens |
| 1993 | Interspeech | A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the WERNICKE project. | Tony Robinson, Lus B. Almeida, Jean-Marc Boite, Herv Bourlard, Frank Fallside, Mike Hochberg, Dan J. Kershaw, Phil Kohn, Yochai Konig, Nelson Morgan, Joo Paulo Neto, Steve Renals, Marco Saerens, Chuck Wooters |
| 1993 | Interspeech | Hidden Markov models assuming a continuous-time dynamic emission of acoustic vectors. | Marco Saerens |
| 1990 | IJCNN | Unsupervised clustering based on a competitive cost function. | Marco Saerens |