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212 results on '"Lamarre, Philippe"'

1. A Framework to Assess Knowledge Graphs Accountability

Author

Andersen, Jennie, Cazalens, Sylvie, Lamarre, Philippe, and Maillot, Pierre

Subjects
Computer Science - Databases
Abstract

Knowledge Graphs (KGs), and Linked Open Data in particular, enable the generation and exchange of more and more information on the Web. In order to use and reuse these data properly, the presence of accountability information is essential. Accountability requires specific and accurate information about people's responsibilities and actions. In this article, we define KGAcc, a framework dedicated to the assessment of RDF graphs accountability. It consists of accountability requirements and a measure of accountability for KGs. Then, we evaluate KGs from the LOD cloud and describe the results obtained. Finally, we compare our approach with data quality and FAIR assessment frameworks to highlight the differences., Comment: 8 pages, to be published in: 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)

Published
2023

2. Are self-citations a normal feature of knowledge accumulation?

Author

Vincent-Lamarre, Philippe and Larivière, Vincent

Subjects
Computer Science - Digital Libraries, H.4, I.7, J.4
Abstract

Science is a cumulative activity, which can manifest itself through the act of citing. Citations are also central to research evaluation, thus creating incentives for researchers to cite their own work. Using a dataset containing more than 63 million articles and 51 million disambiguated authors, this paper examines the relative importance of self-citations and self-references in the scholarly communication landscape, their relationship with the age and gender of authors, as well as their effects on various research evaluation indicators. Results show that self-citations and self-references evolve in different directions throughout researchers' careers, and that men and older researchers are more likely to self-cite. Although self-citations have, on average, a small to moderate effect on author's citation rates, they highly inflate citations for a subset of researchers. Comparison of the abstracts of cited and citing papers to assess the relatedness of different types of citations shows that self-citations are more similar to each other than other types of citations, and therefore more relevant. However, researchers that self-reference more tend to include less relevant citations. The paper concludes with a discussion of the role of self-citations in scholarly communication.

Published
2023

3. Assessing Knowledge Graphs Accountability

Author

Andersen, Jennie, Cazalens, Sylvie, Lamarre, Philippe, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pesquita, Catia, editor, Skaf-Molli, Hala, editor, Efthymiou, Vasilis, editor, Kirrane, Sabrina, editor, Ngonga, Axel, editor, Collarana, Diego, editor, Cerqueira, Renato, editor, Alam, Mehwish, editor, Trojahn, Cassia, editor, and Hertling, Sven, editor

Published
2023
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4. Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

Author

Pineau, Joelle, Vincent-Lamarre, Philippe, Sinha, Koustuv, Larivière, Vincent, Beygelzimer, Alina, d'Alché-Buc, Florence, Fox, Emily, and Larochelle, Hugo

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

One of the challenges in machine learning research is to ensure that presented and published results are sound and reliable. Reproducibility, that is obtaining similar results as presented in a paper or talk, using the same code and data (when available), is a necessary step to verify the reliability of research findings. Reproducibility is also an important step to promote open and accessible research, thereby allowing the scientific community to quickly integrate new findings and convert ideas to practice. Reproducibility also promotes the use of robust experimental workflows, which potentially reduce unintentional errors. In 2019, the Neural Information Processing Systems (NeurIPS) conference, the premier international conference for research in machine learning, introduced a reproducibility program, designed to improve the standards across the community for how we conduct, communicate, and evaluate machine learning research. The program contained three components: a code submission policy, a community-wide reproducibility challenge, and the inclusion of the Machine Learning Reproducibility checklist as part of the paper submission process. In this paper, we describe each of these components, how it was deployed, as well as what we were able to learn from this initiative., Comment: To appear at JMLR, 16 pages + Appendix

Published
2020

5. Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcome

Author

Vincent-Lamarre, Philippe and Larivière, Vincent

Subjects
Computer Science - Digital Libraries, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

We analysed a dataset of scientific manuscripts that were submitted to various conferences in artificial intelligence. We performed a combination of semantic, lexical and psycholinguistic analyses of the full text of the manuscripts and compared them with the outcome of the peer review process. We found that accepted manuscripts scored lower than rejected manuscripts on two indicators of readability, and that they also used more scientific and artificial intelligence jargon. We also found that accepted manuscripts were written with words that are less frequent, that are acquired at an older age, and that are more abstract than rejected manuscripts. The analysis of references included in the manuscripts revealed that the subset of accepted submissions were more likely to cite the same publications. This finding was echoed by pairwise comparisons of the word content of the manuscripts (i.e. an indicator or semantic similarity), which were more similar in the subset of accepted manuscripts. Finally, we predicted the peer review outcome of manuscripts with their word content, with words related to machine learning and neural networks positively related with acceptance, whereas words related to logic, symbolic processing and knowledge-based systems negatively related with acceptance.

Published
2019

6. DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups

Author

Belfodil, Adnene, Duivesteijn, Wouter, Plantevit, Marc, Cazalens, Sylvie, Lamarre, Philippe, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Brefeld, Ulf, editor, Fromont, Elisa, editor, Hotho, Andreas, editor, Knobbe, Arno, editor, Maathuis, Marloes, editor, and Robardet, Céline, editor

Published
2020
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7. The Latent Structure of Dictionaries

Author

Vincent-Lamarre, Philippe, Massé, Alexandre Blondin, Lopes, Marcos, Lord, Mélanie, Marcotte, Odile, and Harnad, Stevan

Subjects
Computer Science - Computation and Language, Computer Science - Information Retrieval
Abstract

How many words (and which ones) are sufficient to define all other words? When dictionaries are analyzed as directed graphs with links from defining words to defined words, they reveal a latent structure. Recursively removing all words that are reachable by definition but that do not define any further words reduces the dictionary to a Kernel of about 10%. This is still not the smallest number of words that can define all the rest. About 75% of the Kernel turns out to be its Core, a Strongly Connected Subset of words with a definitional path to and from any pair of its words and no word's definition depending on a word outside the set. But the Core cannot define all the rest of the dictionary. The 25% of the Kernel surrounding the Core consists of small strongly connected subsets of words: the Satellites. The size of the smallest set of words that can define all the rest (the graph's Minimum Feedback Vertex Set or MinSet) is about 1% of the dictionary, 15% of the Kernel, and half-Core, half-Satellite. But every dictionary has a huge number of MinSets. The Core words are learned earlier, more frequent, and less concrete than the Satellites, which in turn are learned earlier and more frequent but more concrete than the rest of the Dictionary. In principle, only one MinSet's words would need to be grounded through the sensorimotor capacity to recognize and categorize their referents. In a dual-code sensorimotor-symbolic model of the mental lexicon, the symbolic code could do all the rest via re-combinatory definition., Comment: 38 pages, 10 figures, 2 tables, 73 references

Published
2014

8. DABS-Storm: A Data-Aware Approach for Elastic Stream Processing

Author

Kombi, Roland Kotto, Lumineau, Nicolas, Lamarre, Philippe, Rivetti, Nicolo, Busnel, Yann, 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, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Hameurlain, Abdelkader, editor, Wagner, Roland, editor, Morvan, Franck, editor, and Tamine, Lynda, editor

Published
2019
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9. Estimating Open Access Mandate Effectiveness: The MELIBEA Score

Author

Vincent-Lamarre, Philippe, Boivin, Jade, Gargouri, Yassine, Lariviere, Vincent, and Harnad, Stevan

Subjects
Computer Science - Digital Libraries
Abstract

MELIBEA is a Spanish database that uses a composite formula with eight weighted conditions to estimate the effectiveness of Open Access mandates (registered in ROARMAP). We analyzed 68 mandated institutions for publication years 2011-2013 to determine how well the MELIBEA score and its individual conditions predict what percentage of published articles indexed by Web of Knowledge is deposited in each institution's OA repository, and when. We found a small but significant positive correlation (0.18) between MELIBEA score and deposit percentage. We also found that for three of the eight MELIBEA conditions (deposit timing, internal use, and opt-outs), one value of each was strongly associated with deposit percentage or deposit latency (immediate deposit required, deposit required for performance evaluation, unconditional opt-out allowed for the OA requirement but no opt-out for deposit requirement). When we updated the initial values and weights of the MELIBEA formula for mandate effectiveness to reflect the empirical association we had found, the score's predictive power doubled (.36). There are not yet enough OA mandates to test further mandate conditions that might contribute to mandate effectiveness, but these findings already suggest that it would be useful for future mandates to adopt these three conditions so as to maximize their effectiveness, and thereby the growth of OA., Comment: 27 pages, 13 figures, 3 tables, 40 references, 7761 words

Published
2014

11. Predatory publishers' latest scam: bootlegged and rebranded papers

Author

Siler, Kyle, Larivière, Vincent, Vincent-Lamarre, Philippe, and Sugimoto, Cassidy R.

Subjects
Scholarly publishing -- Laws, regulations and rules -- Ethical aspects, Government regulation, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

To thwart publishing rackets that undermine scholars and scholarly publishing, legitimate journals should show their workings. To thwart publishing rackets that undermine scholars and scholarly publishing, legitimate journals should show their workings., Author(s): Kyle Siler, Vincent Larivière, Philippe Vincent-Lamarre, Cassidy R. Sugimoto Author Affiliations: Illustration by David Parkins Cartoon of four researchers attacking a many headed hydra with swords Predatory publishers' latest [...]

Published
2021
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14. Flash Points: Discovering Exceptional Pairwise Behaviors in Vote or Rating Data

Author

Belfodil, Adnene, Cazalens, Sylvie, Lamarre, Philippe, Plantevit, Marc, 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, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ceci, Michelangelo, editor, Hollmén, Jaakko, editor, Todorovski, Ljupčo, editor, Vens, Celine, editor, and Džeroski, Sašo, editor

Published
2017
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16. A Replication of Waugh and Norman (1965) Primary Memory study

Author

Poitras, Marilou, Péléja, Lucie, Lavertu, Gardy, Langlois, Anouck, Boulerice, Katia, Berthelot, Pauline, Vincent-Lamarre, Philippe, Beaulieu, Sandy, Bournival, Vanessa, Brault, Laurence, Charlebois, Jenna, Galloway, Eve Camille, Gauthier, Ariane, Gibeau, Rose-Marie, and Giroux, Nicolas

Subjects
short-term memory, interference theory, decay theory, replication study, Psychology, BF1-990
Abstract

Waugh & Norman's experiment (1965) is among the most influential studies in the field of cognitive psychology. Using a probe digit memory test, they proposed that the proportion of correctly remembered items, digits in this case, depends on the number of interfering items shown between the recall item and the signal, or probe, identifying the recall target. This indicates that interference alone accounts for forgetting in short-term memory. The following study aimed to replicate these results with greater statistical power as the original study used a small sample of 4 participants. In a second study, we used shorter lists to examine potential effects of the relative difficulty of the task. Both studies' results partially support Waugh & Norman's claim, as participants were more likely to recall a digit that was followed by fewer interfering items. Additionally, we observed an interaction involving presentation rate and interference, as participants performed best with a low amount of interfering items presented at 1 item per second. However, lists with a higher number of interfering items (7 and above) had similar correct recall proportion regardless of the presentation rate. These findings further support the prevalence of interference theory over the decay theory but also call for a closer look at the possible interaction between the two. Future studies should examine the latter as well as the possible effect of cognitive fatigue due to the difficulty of the task, underlining the importance of replication studies.

Published
2020
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18. System Modeling and Trust Evaluation of Distributed Systems

Author

Alhadad, Nagham, Serrano-Alvarado, Patricia, Busnel, Yann, Lamarre, Philippe, 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, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Hameurlain, Abdelkader, editor, Küng, Josef, editor, and Wagner, Roland, editor

Published
2015
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19. QTor: A Flexible Publish/Subscribe Peer-to-Peer Organization Based on Query Rewriting

Author

Dufromentel, Sébastien, Cazalens, Sylvie, Lesueur, François, Lamarre, Philippe, 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, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Chen, Qiming, editor, Hameurlain, Abdelkader, editor, Toumani, Farouk, editor, Wagner, Roland, editor, and Decker, Hendrik, editor

Published
2015
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20. Trust Evaluation of a System for an Activity with Subjective Logic

Author

Alhadad, Nagham, Busnel, Yann, Serrano-Alvarado, Patricia, Lamarre, Philippe, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, 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, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Eckert, Claudia, editor, Katsikas, Sokratis K., editor, and Pernul, Günther, editor

Published
2014
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26. Trust Evaluation of a System for an Activity

Author

Alhadad, Nagham, Serrano-Alvarado, Patricia, Busnel, Yann, Lamarre, Philippe, 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, Furnell, Steven, editor, Lambrinoudakis, Costas, editor, and Lopez, Javier, editor

Published
2013
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27. As-Soon-As-Possible Top-k Query Processing in P2P Systems

Author

Dédzoé, William Kokou, Lamarre, Philippe, Akbarinia, Reza, Valduriez, Patrick, 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, Hameurlain, Abdelkader, editor, Küng, Josef, editor, and Wagner, Roland, editor

Published
2013
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28. Reducing the Semantic Heterogeneity of Unstructured P2P Systems: A Contribution Based on a Dissemination Protocol

Author

Cerqueus, Thomas, Cazalens, Sylvie, Lamarre, Philippe, 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, Hameurlain, Abdelkader, editor, Küng, Josef, editor, and Wagner, Roland, editor

Published
2012
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29. SocioPath: Bridging the Gap between Digital and Social Worlds

Author

Alhadad, Nagham, Lamarre, Philippe, Busnel, Yann, Serrano-Alvarado, Patricia, Biazzini, Marco, Sibertin-Blanc, Christophe, 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, Liddle, Stephen W., editor, Schewe, Klaus-Dieter, editor, Tjoa, A Min, editor, and Zhou, Xiaofang, editor

Published
2012
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30. Efficient Early Top-k Query Processing in Overloaded P2P Systems

Author

Dédzoé, William Kokou, Lamarre, Philippe, Akbarinia, Reza, Valduriez, Patrick, 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, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Hameurlain, Abdelkader, editor, Liddle, Stephen W., editor, Schewe, Klaus-Dieter, editor, and Zhou, Xiaofang, editor

Published
2011
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31. Gossiping Correspondences to Reduce Semantic Heterogeneity of Unstructured P2P Systems

Author

Cerqueus, Thomas, Cazalens, Sylvie, Lamarre, Philippe, 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, Hameurlain, Abdelkader, editor, and Tjoa, A Min, editor

Published
2011
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32. Scaling Up Query Allocation in the Presence of Autonomous Participants

Author

Quiané-Ruiz, Joge-Arnulfo, Lamarre, Philippe, Cazalens, Sylvie, Valduriez, Patrick, 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, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Yu, Jeffrey Xu, editor, Kim, Myoung Ho, editor, and Unland, Rainer, editor

Published
2011
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33. Improving Interoperability Using Query Interpretation in Semantic Vector Spaces

Author

Ventresque, Anthony, Cazalens, Sylvie, Lamarre, Philippe, Valduriez, Patrick, 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, Bechhofer, Sean, editor, Hauswirth, Manfred, editor, Hoffmann, Jörg, editor, and Koubarakis, Manolis, editor

Published
2008
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34. List of Authors

Author

Biemann, Chris, primary, Blache, Philippe, additional, Blondin-Massé, Alexandre, additional, Boukhaled, Mohamed Amine, additional, Ganascia, Jean-Gabriel, additional, Gatkowska, Izabela, additional, Gemechu, Debela Tesfaye, additional, Glavitsch, Ulrike, additional, Godny, Maciej, additional, Harnad, Stevan, additional, Hofmann, Markus J., additional, Korzycki, Michał, additional, Lopes, Marcos, additional, Lord, Mélanie, additional, Lubaszewski, Wiesław, additional, Marcotte, Odile, additional, Pelillo, Marcello, additional, Rapp, Reinhard, additional, Remus, Steffen, additional, Sèdes, Florence, additional, Sharp, Bernadette, additional, Tripodi, Rocco, additional, Vincent-Lamarre, Philippe, additional, and Zock, Michael, additional

Published
2017
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37. K n Best - A Balanced Request Allocation Method for Distributed Information Systems

Author

Quiané-Ruiz, Jorge-Arnulfo, Lamarre, Philippe, Valduriez, Patrick, 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, Kotagiri, Ramamohanarao, editor, Krishna, P. Radha, editor, Mohania, Mukesh, editor, and Nantajeewarawat, Ekawit, editor

Published
2007
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38. Query Expansion and Interpretation to Go Beyond Semantic P2P Interoperability

Author

Ventresque, Anthony, Cazalens, Sylvie, Lamarre, Philippe, Valduriez, Patrick, 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, Meersman, Robert, editor, and Tari, Zahir, editor

Published
2007
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39. Satisfaction-Based Query Load Balancing

Author

Quiané-Ruiz, Jorge-Arnulfo, Lamarre, Philippe, Valduriez, Patrick, 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, Meersman, Robert, editor, and Tari, Zahir, editor

Published
2006
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40. A Flexible Mediation Process for Large Distributed Information Systems

Author

Lamarre, Philippe, Cazalens, Sylvie, Lemp, Sandra, Valduriez, Patrick, 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, Meersman, Robert, editor, and Tari, Zahir, editor

Published
2004
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47. Improving reproducibility in machine learning research : a report from the NeurIPS 2019 reproducibility program

Author

Pineau, Joelle, Vincent-Lamarre, Philippe, Sinha, Koustuv, Larivière, Vincent, Beygelzimer, Alina, d'Alché-Buc, Florence, Fox, Emily, Larochelle, Hugo, Université de Montréal. Faculté des arts et des sciences. École de bibliothéconomie et des sciences de l'information, McGill University = Université McGill [Montréal, Canada], Facebook AI Research [Montréal] (FAIR), Facebook, Ecole de Bibliothéconomie et des Sciences de l'Information (EBSI), Université de Montréal (UdeM), Yahoo! Labs New York, Yahoo! Labs, Institut Polytechnique de Paris (IP Paris), Département Images, Données, Signal (IDS), Télécom ParisTech, Signal, Statistique et Apprentissage (S2A), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Apple Inc, Brain team [Paris], Research at Google, DSAIDIS, and d'Alché-Buc, Florence

Subjects
FOS: Computer and information sciences, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Computer Science - Machine Learning, Machine Learning (stat.ML), [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], NeurIPS 2019, Reproducibility, Machine Learning (cs.LG), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Statistics - Machine Learning, [INFO]Computer Science [cs], Reproducibilité, Apprentissage Artificiel
Abstract

One of the challenges in machine learning research is to ensure that presented and published results are sound and reliable. Reproducibility, that is obtaining similar results as presented in a paper or talk, using the same code and data (when available), is a necessary step to verify the reliability of research findings. Reproducibility is also an important step to promote open and accessible research, thereby allowing the scientific community to quickly integrate new findings and convert ideas to practice. Reproducibility also promotes the use of robust experimental workflows, which potentially reduce unintentional errors. In 2019, the Neural Information Processing Systems (NeurIPS) conference, the premier international conference for research in machine learning, introduced a reproducibility program, designed to improve the standards across the community for how we conduct, communicate, and evaluate machine learning research. The program contained three components: a code submission policy, a community-wide reproducibility challenge, and the inclusion of the Machine Learning Reproducibility checklist as part of the paper submission process. In this paper, we describe each of these components, how it was deployed, as well as what we were able to learn from this initiative., Comment: To appear at JMLR, 16 pages + Appendix

Published
2021

49. Transactions on Large-Scale Data- and Knowledge-Centered Systems {XLIV} - Special Issue on Data Management - Principles, Technologies, and Applications

Author

Hameurlain, Abdelkader, Tjoa, A Min, Lamarre, Philippe, Zeitouni, Karine, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Viena University of Technology, Base de Données (BD), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)

Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2020

Catalog

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