Marco Saerens - RankMe

90 papers A* 10A 2B 7Misc 1Journal 46Unranked 24

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