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Your search keyword '"Mahler, Sébastien"' showing total 15 results
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15 results on '"Mahler, Sébastien"'

4. Tangible interactions in control centres for railway traffic management

Author

Marlier, Maudeline, Mahler, Sébastien, Renoir, Nicolas, Prouzeau, Arnaud, Hachet, Martin, Popular interaction with 3d content (Potioc), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

Subjects
Tangible interactions, Collaboration improvement, Interactive touch table, Behaviour and human-machine integration, [INFO]Computer Science [cs], Control centre
Abstract

International audience; A current trend in rail industry control centres is to move towards an increase in the number of digitaltools to assist operators. Our observations show that the information used by rail controllers is distributedamong different interfaces. Operators must assemble all this information themselves to understand thestate of the system. This task is often done mentally, resulting in difficult information sharing and aslower decision process. It is in this search for improvement of the operational centres that we realizeda prototype of a tangible touch table presented in this article. The first tests are underway and allowus to have rather positive feedback on this technology that operators are not familiar with. The nextiterations will focus on refining the prototype and on experimenting with a larger group of users.

Published
2022

5. A Framework for Path-Oriented Network Simplification

Author

Toivonen, Hannu, Mahler, Sébastien, Zhou, Fang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Cohen, Paul R., editor, Adams, Niall M., editor, and Berthold, Michael R., editor

Published
2010
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6. An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers

Author

Robilliard, Denis, Marion-Poty, Virginie, Mahler, Sébastien, Fonlupt, Cyril, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ebner, Marc, editor, O’Neill, Michael, editor, Ekárt, Anikó, editor, Vanneschi, Leonardo, editor, and Esparcia-Alcázar, Anna Isabel, editor

Published
2007
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7. Santa Fe Trail Hazards

Author

Robilliard, Denis, Mahler, Sébastien, Verhaghe, Dominique, Fonlupt, Cyril, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Dough, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Talbi, El-Ghazali, editor, Liardet, Pierre, editor, Collet, Pierre, editor, Lutton, Evelyne, editor, and Schoenauer, Marc, editor

Published
2006
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8. Tarpeian Bloat Control and Generalization Accuracy

Author

Mahler, Sébastien, Robilliard, Denis, Fonlupt, Cyril, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Keijzer, Maarten, editor, Tettamanzi, Andrea, editor, Collet, Pierre, editor, van Hemert, Jano, editor, and Tomassini, Marco, editor

Published
2005
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9. Ant Algorithm for Detection of Retentive Structures in Coastal Waters

Author

Segond, Marc, Mahler, Sébastien, Robilliard, Denis, Fonlupt, Cyril, Planque, Benjamin, Lazure, Pascal, Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Liardet, Pierre, editor, Collet, Pierre, editor, Fonlupt, Cyril, editor, Lutton, Evelyne, editor, and Schoenauer, Marc, editor

Published
2004
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14. Santa Fe Trail Hazards.

Author

Talbi, El-Ghazali, Liardet, Pierre, Collet, Pierre, Lutton, Evelyne, Schoenauer, Marc, Robilliard, Denis, Mahler, Sébastien, Verhaghe, Dominique, and Fonlupt, Cyril

Abstract

This paper focuses on methodological problems associated to the famous Santa Fe Trail (SFT) problem, a very common benchmark for evaluating Genetic Programming (GP) algorithms, introduced by Koza in its first book on GP. We put in evidence the difficulty to ensure fair comparisons especially with new genotype representations as found in works on grammar-based automatic programming, such as Grammatical Evolution, and Bayesian Automatic Programming. We extend a work by Langdon et al. by measuring the effort to solve SFT by random search with different time steps limits and a reduced but semantically equivalent function set. [ABSTRACT FROM AUTHOR]

Published
2006
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15. Tarpeian Bloat Control and Generalization Accuracy.

Author

Keijzer, Maarten, Tettamanzi, Andrea, Collet, Pierre, Hemert, Jano van, Tomassini, Marco, Mahler, Sébastien, Robilliard, Denis, and Fonlupt, Cyril

Abstract

In this paper we focus on machine-learning issues solved with Genetic Programming (GP). Excessive code growth or bloat often happens in GP, greatly slowing down the evolution process. In Pol03, Poli proposed the Tarpeian Control method to reduce bloat, but possible side-effects of this method on the generalization accuracy of GP hypotheses remained to be tested. In particular, since Tarpeian Control puts a brake on code growth, it could behave as a kind of Occam's razor, promoting shorter hypotheses more able to extend their knowledge to cases apart from any learning steps. To answer this question, we experiment Tarpeian Control with symbolic regression. The results are contrasted, showing that it can either increase or reduce the generalization power of GP hypotheses, depending on the problem at hand. Experiments also confirm the decrease in size of programs. We conclude that Tarpeian Control might be useful if carefully tuned to the problem at hand. [ABSTRACT FROM AUTHOR]

Published
2005

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