Marco Saerens

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 26

Top Topics

Betweenness Centrality

Credit Card Fraud

Relative Entropy

Top Venues

J. Complex Networks

COMPLEX NETWORKS

Publications

Chloe Satinet, François Fouss, Marco Saerens, Pierre Leleux
In-processing and post-processing strategies for balancing accuracy and sustainability in product recommendations. Electron. Commer. Res. Appl. 67 (2024)
Pierre Leleux, Bertrand Lebichot, Guillaume Guex, Marco Saerens
Sparse randomized policies for Markov decision processes based on Tsallis divergence regularization. Knowl. Based Syst. 300 (2024)
Sylvain Courtain, Guillaume Guex, Ilkka Kivimäki, Marco Saerens
Relative entropy-regularized optimal transport on a graph: a new algorithm and an experimental comparison. Int. J. Mach. Learn. Cybern. 14 (4) (2023)
Pierre Leleux, Sylvain Courtain, Guillaume Guex, Marco Saerens
Sparse randomized shortest paths routing with Tsallis divergence regularization. Data Min. Knowl. Discov. 35 (3) (2021)
Sylvain Courtain, Guillaume Guex, Ilkka Kivimäki, Marco Saerens
Relative Entropy-Regularized Optimal Transport on a Graph: a new algorithm and an experimental comparison. CoRR (2021)
Ilkka Kivimäki, Bram Van Moorter, Manuela Panzacchi, Jari Saramäki, Marco Saerens
Maximum likelihood estimation for randomized shortest paths with trajectory data. CoRR (2021)
Guillaume Guex, Sylvain Courtain, Marco Saerens
Covariance and correlation measures on a graph in a generalized bag-of-paths formalism. J. Complex Networks 8 (6) (2021)
Sylvain Courtain, Marco Saerens
A Simple Extension of the Bag-of-Paths Model Weighting Path Lengths by a Poisson Distribution. COMPLEX NETWORKS (2021)
Sylvain Courtain, Pierre Leleux, Ilkka Kivimäki, Guillaume Guex, Marco Saerens
Randomized shortest paths with net flows and capacity constraints. Inf. Sci. 556 (2021)
Pierre Leleux, Sylvain Courtain, Guillaume Guex, Marco Saerens
Sparse Randomized Shortest Paths Routing with Tsallis Divergence Regularization. CoRR (2020)
Ilkka Kivimäki, Bram Van Moorter, Manuela Panzacchi, Jari Saramäki, Marco Saerens
Maximum likelihood estimation for randomized shortest paths with trajectory data. J. Complex Networks 8 (4) (2020)
Bertrand Lebichot, Marco Saerens
An experimental study of graph-based semi-supervised classification with additional node information. Knowl. Inf. Syst. 62 (11) (2020)
Sylvain Courtain, Pierre Leleux, Ilkka Kivimäki, Guillaume Guex, Marco Saerens
Randomized Shortest Paths with Net Flows and Capacity Constraints. CoRR (2019)
Guillaume Guex, Ilkka Kivimäki, Marco Saerens
Randomized optimal transport on a graph: framework and new distance measures. Netw. Sci. 7 (1) (2019)
Sylvain Courtain, Bertrand Lebichot, Ilkka Kivimäki, Marco Saerens
Graph-Based Fraud Detection with the Free Energy Distance. COMPLEX NETWORKS (2) (2019)
Guillaume Guex, Sylvain Courtain, Marco Saerens
Covariance and Correlation Kernels on a Graph in the Generalized Bag-of-Paths Formalism. CoRR (2019)
Bertrand Lebichot, Marco Saerens
A bag-of-paths node criticality measure. Neurocomputing 275 (2018)
Guillaume Guex, Ilkka Kivimäki, Marco Saerens
Randomized Optimal Transport on a Graph: Framework and New Distance Measures. CoRR (2018)
Bertrand Lebichot, Guillaume Guex, Ilkka Kivimäki, Marco Saerens
A Constrained Randomized Shortest-Paths Framework for Optimal Exploration. CoRR (2018)
Kevin Françoisse, Ilkka Kivimäki, Amin Mantrach, Fabrice Rossi, Marco Saerens
A bag-of-paths framework for network data analysis. Neural Networks 90 (2017)
Felix Sommer, François Fouss, Marco Saerens
Modularity-Driven Kernel k-means for Community Detection. ICANN (2) (2017)
Bertrand Lebichot, Marco Saerens
A Bag-of-Paths Node Criticality Measure. CoRR (2017)
Sandrine Brognaux, Thomas François, Marco Saerens
Combining Manual and Automatic Prosodic Annotation for Expressive Speech Synthesis. LREC (2016)
Felix Sommer, François Fouss, Marco Saerens
Comparison of Graph Node Distances on Clustering Tasks. ICANN (1) (2016)
Bertrand Lebichot, Fabian Braun, Olivier Caelen, Marco Saerens
A graph-based, semi-supervised, credit card fraud detection system. COMPLEX NETWORKS (2016)
Ilkka Kivimäki, Bertrand Lebichot, Jari Saramäki, Marco Saerens
Two betweenness centrality measures based on Randomized Shortest Paths. CoRR (2015)
Mathieu Senelle, Marco Saerens, François Fouss
The Sum-over-Forests clustering. ESANN (2014)
Robin Devooght, Amin Mantrach, Ilkka Kivimäki, Hugues Bersini, Alejandro Jaimes, Marco Saerens
Random walks based modularity: application to semi-supervised learning. WWW (2014)
Carmen K. Vaca, Amin Mantrach, Alejandro Jaimes, Marco Saerens
A time-based collective factorization for topic discovery and monitoring in news. WWW (2014)
Bertrand Lebichot, Ilkka Kivimäki, Kevin Françoisse, Marco Saerens
Semisupervised Classification Through the Bag-of-Paths Group Betweenness. IEEE Trans. Neural Networks Learn. Syst. 25 (6) (2014)
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
The Sum-over-Forests Density Index: Identifying Dense Regions in a Graph. IEEE Trans. Pattern Anal. Mach. Intell. 36 (6) (2014)
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
The Sum-over-Forests density index: identifying dense regions in a graph CoRR (2013)
Kevin Françoisse, François Fouss, Marco Saerens
A link-analysis-based discriminant analysis for exploring partially labeled graphs. Pattern Recognit. Lett. 34 (2) (2013)
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu
Centering Similarity Measures to Reduce Hubs. EMNLP (2013)
Silvia García-Díez, Jérôme Laforge, Marco Saerens
minimax: An Optimally Randomized MINIMAX Algorithm. IEEE Trans. Cybern. 43 (1) (2013)
Ilkka Kivimäki, Alexander Panchenko, Adrien Dessy, Dries Verdegem, Pascal Francq, Hugues Bersini, Marco Saerens
A Graph-Based Approach to Skill Extraction from Text. TextGraphs@EMNLP (2013)
François Fouss, Kevin Françoisse, Luh Yen, Alain Pirotte, Marco Saerens
An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification. Neural Networks 31 (2012)
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens
Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction. AAAI (2012)
Bertrand Lebichot, Ilkka Kivimäki, Kevin Françoisse, Marco Saerens
Semi-Supervised Classification Through the Bag-of-Paths Group Betweenness CoRR (2012)
Amin Mantrach, Nicolas van Zeebroeck, Pascal Francq, Masashi Shimbo, Hugues Bersini, Marco Saerens
Semi-supervised classification and betweenness computation on large, sparse, directed graphs. Pattern Recognit. 44 (6) (2011)
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
A sum-over-paths extension of edit distances accounting for all sequence alignments. Pattern Recognit. 44 (6) (2011)
Luh Yen, Marco Saerens, François Fouss
A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases. IEEE Trans. Knowl. Data Eng. 23 (4) (2011)
Silvia García-Díez, Eric Vandenbussche, Marco Saerens
A continuous-state version of discrete randomized shortest-paths, with application to path planning. CDC/ECC (2011)
Silvia García-Díez, Marco Saerens, Mathieu Senelle, François Fouss
A simple-cycles weighted kernel based on harmony structure for similarity retrieval. ISMIR (2011)
Amin Mantrach, Luh Yen, Jérôme Callut, Kevin Françoisse, Masashi Shimbo, Marco Saerens
The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph. IEEE Trans. Pattern Anal. Mach. Intell. 32 (6) (2010)
François Fouss, Youssef Achbany, Marco Saerens
A probabilistic reputation model based on transaction ratings. Inf. Sci. 180 (11) (2010)
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
Normalized Sum-over-Paths Edit Distances. ICPR (2010)
Benoît Frénay, Marco Saerens
, a simple reinforcement learning scheme for two-player zero-sum Markov games. Neurocomputing 72 (7-9) (2009)
Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens
Graph nodes clustering with the sigmoid commute-time kernel: A comparative study. Data Knowl. Eng. 68 (3) (2009)
Marco Saerens, Youssef Achbany, François Fouss, Luh Yen
Randomized Shortest-Path Problems: Two Related Models. Neural Comput. 21 (8) (2009)
Youssef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens
Tuning continual exploration in reinforcement learning: An optimality property of the Boltzmann strategy. Neurocomputing 71 (13-15) (2008)
Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont
Semi-supervised Classification from Discriminative Random Walks. ECML/PKDD (1) (2008)
Benoît Frénay, Marco Saerens
QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games. ESANN (2008)
Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shimbo
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances. KDD (2008)
François Fouss, Marco Saerens
Evaluating Performance of Recommender Systems: An Experimental Comparison. Web Intelligence (2008)
Ivan Jureta, Stéphane Faulkner, Youssef Achbany, Marco Saerens
Dynamic task allocation within an open service-oriented MAS architecture. AAMAS (2007)
François Fouss, Alain Pirotte, Jean-Michel Renders, Marco Saerens
Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation. IEEE Trans. Knowl. Data Eng. 19 (3) (2007)
Ivan Jureta, Stéphane Faulkner, Youssef Achbany, Marco Saerens
Dynamic Web Service Composition within a Service-Oriented Architecture. ICWS (2007)
Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens
Graph Nodes Clustering Based on the Commute-Time Kernel. PAKDD (2007)
Youssef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens
Optimal Tuning of Continual Online Exploration in Reinforcement Learning. ICANN (1) (2006)
François Fouss, Luh Yen, Alain Pirotte, Marco Saerens
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. ICDM (2006)
Marco Saerens
Hung T. Nguyen, Nadipuram R. Prasad, Carol L. Walker and Elbert A. Walker, Editors, A First Course in Fuzzy 3 and Neural Control, Chapman & Hall/CRC Press (2003). Fuzzy Sets Syst. 157 (16) (2006)
François Fouss, Stéphane Faulkner, Manuel Kolp, Alain Pirotte, Marco Saerens
Web Recommendation System Based on a Markov-Chainmodel. ICEIS (4) (2005)
François Fouss, Alain Pirotte, Marco Saerens
A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation. Web Intelligence (2005)
Marco Saerens, François Fouss
HITS is Principal Components Analysis. Web Intelligence (2005)
Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens
clustering using a random walk based distance measure. ESANN (2005)
Marco Saerens, François Fouss, Luh Yen, Pierre Dupont
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. ECML (2004)
Marco Saerens, François Fouss
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach. Multiple Classifier Systems (2004)
François Fouss, Marco Saerens, Jean-Michel Renders
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains. ICDM (2003)
Marco Saerens, Patrice Latinne, Christine Decaestecker
Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure. Neural Comput. 14 (1) (2002)
Marco Saerens, Patrice Latinne, Christine Decaestecker
Any reasonable cost function can be used for a posteriori probability approximation. IEEE Trans. Neural Networks 13 (5) (2002)
Patrice Latinne, Marco Saerens, Christine Decaestecker
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. ICML (2001)
Marco Saerens
Building cost functions minimizing to some summary statistics. IEEE Trans. Neural Networks Learn. Syst. 11 (6) (2000)
Jean-Michel Renders, Marco Saerens, Hugues Bersini
Fuzzy adaptive control of a certain class of SISO discrete-time processes. Fuzzy Sets Syst. 85 (1) (1997)
Marco Saerens
Non Mean Square Error Criteria for the Training of Learning Machines. ICML (1996)
Marco Saerens
Design of a perceptron-like algorithm based on system identification techniques. IEEE Trans. Neural Networks 6 (2) (1995)
Marco Saerens
Viterbi algorithm for acoustic vectors generated by a linear stochastic differential equation on each state. ICASSP (1995)
Alain Soquet, Marco Saerens
A comparison of different acoustic and articulatory representations for the determination of place of articulation of plosives. ICSLP (1994)
Hugues Bersini, Marco Saerens, Luis Gonzalez Sotelino
Hopfield net generation, encoding and classification of temporal trajectories. IEEE Trans. Neural Networks 5 (6) (1994)
Luis Gonzalez Sotelino, Marco Saerens, Hugues Bersini
Classification of temporal trajectories by continuous-time recurrent nets. Neural Networks 7 (5) (1994)
Hervé Bourlard, Jean-Marc Boite, Bart D'hoore, Marco Saerens
Performance comparison of hidden Markov models and neural networks for task dependent and independent isolated word recognition. EUROSPEECH (1993)
Marco Saerens, Hervé Bourlard
Linear and nonlinear prediction for speech recognition with hidden Markov models. EUROSPEECH (1993)
Marco Saerens
Hidden Markov models assuming a continuous-time dynamic emission of acoustic vectors. EUROSPEECH (1993)
Tony Robinson, Luís B. Almeida, Jean-Marc Boite, Hervé Bourlard, Frank Fallside, Mike Hochberg, Dan J. Kershaw, Phil Kohn, Yochai Konig, Nelson Morgan, João Paulo Neto, Steve Renals, Marco Saerens, Chuck Wooters
A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the WERNICKE project. EUROSPEECH (1993)
Jean-Michel Renders, Hugues Bersini, Marco Saerens
Adaptive NeuroControl: How Black Box and Simple can it be. ICML (1993)
Marco Saerens
A continuous-time dynamic formulation of Viterbi algorithm for one-Gaussian-per-state hidden Markov models. Speech Commun. 12 (4) (1993)
Marco Saerens
Unsupervised clustering based on a competitive cost function. IJCNN (1990)
Alain Soquet, Marco Saerens, Paul Jospa
Acoustic-articulatory inversion based on a neural controller of a vocal tract model. SSW (1990)