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Semantic ScholarÉric Gaussier
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- affiliation: Joseph Fourier University, Grenoble Informatics Laboratory (LIG)
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2010 – today
- 2019
[j34]Théo Trouillon, Éric Gaussier, Christopher R. Dance, Guillaume Bouchard:
On Inductive Abilities of Latent Factor Models for Relational Learning. J. Artif. Intell. Res. 64: 21-53 (2019)- 2018
- [j33]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir:
Period-aware content attention RNNs for time series forecasting with missing values. Neurocomputing 312: 177-186 (2018) - [j32]Abdelkader El Mahdaouy, Saïd El Alaoui Ouatik, Éric Gaussier:
Improving Arabic information retrieval using word embedding similarities. I. J. Speech Technology 21(1): 121-136 (2018) - [j31]Bo Li, Éric Gaussier, Dan Yang:
The Dilution/Concentration conditions for cross-language information retrieval models. Inf. Process. Manage. 54(2): 291-302 (2018) - [j30]Bo Li, Éric Gaussier, Dan Yang:
Measuring bilingual corpus comparability. Natural Language Engineering 24(4): 523-549 (2018) - [j29]Cédric Lagnier, Éric Gaussier, François Kawala:
User-centered probabilistic models for content diffusion in the blogosphere. Online Social Networks and Media 5: 61-75 (2018) - [j28]Maha Alsayasneh, Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama, Jean-Michel Renders:
Personalized and Diverse Task Composition in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 30(1): 128-141 (2018) - [j27]Éric Gaussier, Jérôme Lelong, Valentin Reis, Denis Trystram:
Online Tuning of EASY-Backfilling using Queue Reordering Policies. IEEE Trans. Parallel Distrib. Syst. 29(10): 2304-2316 (2018) - [c116]Shubham Agarwal, Marc Dymetman, Éric Gaussier:
Char2char Generation with Reranking for the E2E NLG Challenge. INLG 2018: 451-456 - [c115]Éric Gaussier:
Semantic Annotation in the Biomedical Domain: Large-scale Classification and BioASQ. WWW (Companion Volume) 2018: 1045 - [i13]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Deep k-Means: Jointly Clustering with k-Means and Learning Representations. CoRR abs/1806.10069 (2018) - [i12]Myriam Tami, Marianne Clausel, Emilie Devijver, Adrien Dulac, Éric Gaussier, Stefan Janaqi, Mériam Chèbre:
Dealing with Uncertain Inputs in Regression Trees. CoRR abs/1810.11698 (2018) - [i11]Shubham Agarwal, Marc Dymetman, Éric Gaussier:
Char2char Generation with Reranking for the E2E NLG Challenge. CoRR abs/1811.05826 (2018) - 2017
- [j26]Parantapa Goswami, Éric Gaussier, Massih-Reza Amini:
Exploring the space of information retrieval term scoring functions. Inf. Process. Manage. 53(2): 454-472 (2017) - [j25]Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard:
Knowledge Graph Completion via Complex Tensor Factorization. Journal of Machine Learning Research 18: 130:1-130:38 (2017) - [c114]Hesam Amoualian, Wei Lu, Éric Gaussier, Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
Topical Coherence in LDA-based Models through Induced Segmentation. ACL (1) 2017: 1799-1809 - [c113]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier:
Efficient Association Rules Selecting for Automatic Query Expansion. CICLing (2) 2017: 563-574 - [c112]Adrien Dulac, Éric Gaussier, Christine Largeron:
A Study of Stochastic Mixed Membership Models for Link Prediction in Social Networks. DSAA 2017: 706-715 - [c111]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov:
Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs. ICONIP (5) 2017: 533-544 - [c110]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Bilingual Lexicon Extraction from Comparable Corpora Based on Closed Concepts Mining. PAKDD (1) 2017: 586-598 - [i10]Théo Trouillon, Christopher R. Dance, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Knowledge Graph Completion via Complex Tensor Factorization. CoRR abs/1702.06879 (2017) - [i9]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov:
Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values. CoRR abs/1703.10089 (2017) - [i8]Théo Trouillon, Éric Gaussier, Christopher R. Dance, Guillaume Bouchard:
On Inductive Abilities of Latent Factor Models for Relational Learning. CoRR abs/1709.05666 (2017) - 2016
- [j24]Éric Gaussier, Longbing Cao:
Conference Report on 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2015) [Conference Reports]. IEEE Comp. Int. Mag. 11(1): 13-14 (2016) - [j23]Seyed Hamid Mirisaee, Éric Gaussier, Alexandre Termier:
Efficient local search for L1 and L2 binary matrix factorization. Intell. Data Anal. 20(4): 783-807 (2016) - [j22]François Kawala, Éric Gaussier, Ahlame Douzal Chouakria, Eustache Diemert:
A study of different keyword activity prediction problems in social media. IJSNM 2(3): 224-255 (2016) - [j21]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini, Cécile Amblard:
Learning Taxonomy Adaptation in Large-scale Classification. Journal of Machine Learning Research 17: 98:1-98:37 (2016) - [j20]Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier:
Generalized k-means-based clustering for temporal data under weighted and kernel time warp. Pattern Recognition Letters 75: 63-69 (2016) - [c109]Abdelkader El Mahdaouy, Éric Gaussier, Saïd El Alaoui Ouatik:
Arabic Text Classification Based on Word and Document Embeddings. AISI 2016: 32-41 - [c108]Abdelkader El Mahdaouy, Said Ouatik El Alaoui, Éric Gaussier:
Semantically enhanced term frequency based on word embeddings for Arabic information retrieval. CIST 2016: 385-389 - [c107]Raghav Goyal, Marc Dymetman, Éric Gaussier:
Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge. COLING 2016: 1083-1092 - [c106]Georgios Balikas, Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini:
Modeling topic dependencies in semantically coherent text spans with copulas. COLING 2016: 1767-1776 - [c105]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier:
Expansion de requêtes par apprentissage. CORIA-CIFED 2016: 267-282 - [c104]Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama:
Task Composition in Crowdsourcing. DSAA 2016: 194-203 - [c103]Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Complex Embeddings for Simple Link Prediction. ICML 2016: 2071-2080 - [c102]Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini:
Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams. KDD 2016: 695-704 - [i7]Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Complex Embeddings for Simple Link Prediction. CoRR abs/1606.06357 (2016) - [i6]Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban:
Similarity Learning for Time Series Classification. CoRR abs/1610.04783 (2016) - 2015
- [j19]George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R. Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, Yannis Almirantis, John Pavlopoulos, Nicolas Baskiotis, Patrick Gallinari, Thierry Artières, Axel-Cyrille Ngonga Ngomo, Norman Heino, Éric Gaussier, Liliana Barrio-Alvers, Michael Schroeder, Ion Androutsopoulos, Georgios Paliouras:
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinformatics 16: 138:1-138:28 (2015) - [j18]Aris Kosmopoulos, Ioannis Partalas, Éric Gaussier, Georgios Paliouras, Ion Androutsopoulos:
Evaluation measures for hierarchical classification: a unified view and novel approaches. Data Min. Knowl. Discov. 29(3): 820-865 (2015) - [j17]
- [c101]Seyed Hamid Mirisaee, Éric Gaussier, Alexandre Termier:
Improved Local Search for Binary Matrix Factorization. AAAI 2015: 1198-1204 - [c100]Vincent Leroy, Sihem Amer-Yahia, Éric Gaussier, Seyed Hamid Mirisaee:
Building Representative Composite Items. CIKM 2015: 1421-1430 - [c99]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
À la recherche des paramètres des modèles de RI. CORIA 2015: 173-187 - [c98]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Multilingual Documents Clustering Based on Closed Concepts Mining. DEXA (1) 2015: 517-524 - [c97]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier, Yassin Belhareth:
Learning Query Expansion from Association Rules Between Terms. KDIR 2015: 525-530 - [c96]Mikhail P. Kuznetsov, Marianne Clausel, Massih-Reza Amini, Éric Gaussier, Vadim V. Strijov:
Supervised Topic Classification for Modeling a Hierarchical Conference Structure. ICONIP (1) 2015: 90-97 - [c95]Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini:
Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning. ICONIP (1) 2015: 253-263 - [c94]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections. ICTIR 2015: 121-130 - [c93]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Study of Heuristic IR Constraints Under Function Discovery Framework. ICTIR 2015: 365-368 - [c92]Georgios Balikas, Ioannis Partalas, Éric Gaussier, Rohit Babbar, Massih-Reza Amini:
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. IDA 2015: 25-36 - [c91]Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, Éric Gaussier:
On Binary Reduction of Large-Scale Multiclass Classification Problems. IDA 2015: 132-144 - [c90]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Extraction of Interlingual Documents Clusters Based on Closed Concepts Mining. KES 2015: 537-546 - [c89]Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban:
Joint Semi-supervised Similarity Learning for Linear Classification. ECML/PKDD (1) 2015: 594-609 - [c88]Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier:
Progressive and Iterative Approaches for Time Series Averaging. AALTD@PKDD/ECML 2015 - [c87]Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier:
A Comparison of Progressive and Iterative Centroid Estimation Approaches Under Time Warp. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 144-156 - [c86]Éric Gaussier, David Glesser, Valentin Reis, Denis Trystram:
Improving backfilling by using machine learning to predict running times. SC 2015: 64:1-64:10 - [e3]Éric Gaussier, Mathias Géry:
CORIA 2015 - Conférence en Recherche d'Infomations et Applications - 12th French Information Retrieval Conference, Paris, France, March 18-20, 2015. ARIA 2015 [contents] - [i5]Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artières, George Paliouras, Éric Gaussier, Ion Androutsopoulos, Massih-Reza Amini, Patrick Gallinari:
LSHTC: A Benchmark for Large-Scale Text Classification. CoRR abs/1503.08581 (2015) - 2014
- [j16]Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian:
Behavior Informatics: A New Perspective. IEEE Intelligent Systems 29(4): 62-80 (2014) - [j15]Josiane Mothe, Yoann Pitarch, Éric Gaussier:
Big data, le cas des systèmes d'information. Ingénierie des Systèmes d'Information 19(3): 9-48 (2014) - [j14]Rohit Babbar, Cornelia Metzig, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
On power law distributions in large-scale taxonomies. SIGKDD Explorations 16(1): 47-56 (2014) - [c85]Abdelkader El Mahdaouy, Éric Gaussier, Saïd El Alaoui Ouatik:
Exploring term proximity statistic for Arabic information retrieval. CIST 2014: 272-277 - [c84]François Kawala, Éric Gaussier, Ahlame Douzal, Eustache Diemert:
Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux. CORIA-CIFED 2014: 337-351 - [c83]Seyed Hamid Mirisaee, Éric Gaussier, Alexandre Termier:
Itemset approximation using Constrained Binary Matrix Factorization. DSAA 2014: 39-45 - [c82]Parantapa Goswami, Simon Moura, Éric Gaussier, Massih-Reza Amini, Francis Maes:
Exploring the Space of IR Functions. ECIR 2014: 372-384 - [c81]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
Re-ranking approach to classification in large-scale power-law distributed category systems. SIGIR 2014: 1059-1062 - [c80]Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, Éric Gaussier, Georgios Paliouras:
Web-scale classification: web classification in the big data era. WSDM 2014: 687-688 - [i4]Abdelkader El Mahdaouy, Saïd El Alaoui Ouatik, Éric Gaussier:
A Study of Association Measures and their Combination for Arabic MWT Extraction. CoRR abs/1409.3005 (2014) - [i3]Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini:
Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning. CoRR abs/1412.6452 (2014) - 2013
- [b1]Massih-Reza Amini, Éric Gaussier:
Recherche d'Information - applications, modèles et algorithmes. Eyrolles 2013, ISBN 978-2-212-13532-9, pp. I-XIX, 1-233 - [j13]Bo Li, Éric Gaussier:
Modèles d'information pour la recherche multilingue. Document Numérique 16(2): 11-30 (2013) - [c79]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Transferring knowledge with source selection to learn IR functions on unlabeled collections. CIKM 2013: 2315-2320 - [c78]Ioannis Partalas, Éric Gaussier, Axel-Cyrille Ngonga Ngomo:
Results of the First BioASQ Workshop. BioASQ@CLEF 2013 - [c77]Parantapa Goswami, Éric Gaussier:
Estimation du paramètre de collection des modèles d'information pour la RI. CORIA 2013: 201-216 - [c76]Cédric Lagnier, Ludovic Denoyer, Éric Gaussier, Patrick Gallinari:
Predicting Information Diffusion in Social Networks Using Content and User's Profiles. ECIR 2013: 74-85 - [c75]Parantapa Goswami, Éric Gaussier:
Estimation of the Collection Parameter of Information Models for IR. ECIR 2013: 459-470 - [c74]Rohit Babbar, Ioannis Partalas, Cornelia Metzig, Éric Gaussier, Massih-Reza Amini:
Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law. ESWC (Satellite Events) 2013: 310-311 - [c73]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification. ICONIP (1) 2013: 336-343 - [c72]Stéphane Clinchant, Éric Gaussier:
A Theoretical Analysis of Pseudo-Relevance Feedback Models. ICTIR 2013: 6 - [c71]Cedric Frambourg, Ahlame Douzal Chouakria, Éric Gaussier:
Learning Multiple Temporal Matching for Time Series Classification. IDA 2013: 198-209 - [c70]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Alexandre Termier, Aurélie Bertaux, Éric Gaussier, Marie-Christine Rousset:
Towards a Framework for Semantic Exploration of Frequent Patterns. IMMoA 2013: 7-14 - [c69]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
On Flat versus Hierarchical Classification in Large-Scale Taxonomies. NIPS 2013: 1824-1832 - [i2]Aris Kosmopoulos, Ioannis Partalas, Éric Gaussier, Georgios Paliouras, Ion Androutsopoulos:
Evaluation Measures for Hierarchical Classification: a unified view and novel approaches. CoRR abs/1306.6802 (2013) - 2012
- [j12]Stéphane Clinchant, Éric Gaussier:
Une analyse théorique des modèles de rétro-pertinence. Document Numérique 15(1): 125-146 (2012) - [j11]Cédric Lagnier, Éric Gaussier, François Kawala:
Modéliser l'utilisateur pour la diffusion de l'information dans les réseaux sociaux. Ingénierie des Systèmes d'Information 17(6): 115-136 (2012) - [j10]Trong-Ton Pham, Philippe Mulhem, Loïc Maisonnasse, Éric Gaussier, Joo-Hwee Lim:
Visual graph modeling for scene recognition and mobile robot localization. Multimedia Tools Appl. 60(2): 419-441 (2012) - [c68]George Tsatsaronis, Michael Schroeder, Georgios Paliouras, Yannis Almirantis, Ion Androutsopoulos, Éric Gaussier, Patrick Gallinari, Thierry Artières, Michael R. Alvers, Matthias Zschunke, Axel-Cyrille Ngonga Ngomo:
BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c67]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Cécile Amblard:
On empirical tradeoffs in large scale hierarchical classification. CIKM 2012: 2299-2302 - [c66]
- [c65]
- [c64]Ioannis Partalas, Rohit Babbar, Éric Gaussier, Cécile Amblard:
Adaptive Classifier Selection in Large-Scale Hierarchical Classification. ICONIP (3) 2012: 612-619 - [c63]Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier:
Toward a New Protocol to Evaluate Recommender Systems. RUE@RecSys 2012: 9-14 - [p3]Stéphane Clinchant, Éric Gaussier:
Probabilistic Models for Information Retrieval. Textual Information Access: Statistical Models 2012: 3-32 - [p2]Sujeevan Aseervatham, Éric Gaussier, Anestis Antoniadis, Michel Burlet, Yves Denneulin:
Logistic Regression and Text Classification. Textual Information Access: Statistical Models 2012: 61-84 - [e2]Éric Gaussier, François Yvon:
Textual Information Access: Statistical Models. Wiley-ISTE 2012, ISBN 978-1-84821-322-7 [contents] - [i1]Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier:
Toward a New Protocol to Evaluate Recommender Systems. CoRR abs/1209.1983 (2012) - 2011
- [j9]Stéphane Clinchant, Éric Gaussier:
Modèles de RI fondés sur l'information. Document Numérique 14(2): 103-123 (2011) - [j8]Stéphane Clinchant, Éric Gaussier:
Retrieval constraints and word frequency distributions a log-logistic model for IR. Inf. Retr. 14(1): 5-25 (2011) - [j7]Sujeevan Aseervatham, Anestis Antoniadis, Éric Gaussier, Michel Burlet, Yves Denneulin:
A sparse version of the ridge logistic regression for large-scale text categorization. Pattern Recognition Letters 32(2): 101-106 (2011) - [c62]Bo Li, Éric Gaussier, Akiko N. Aizawa:
Clustering Comparable Corpora For Bilingual Lexicon Extraction. ACL (Short Papers) 2011: 473-478 - [c61]Stéphane Clinchant, Éric Gaussier:
A Document Frequency Constraint for Pseudo-Relevance Feedback Models. CORIA 2011: 73-88 - [c60]Frank Meyer, Éric Gaussier, Fabrice Clérot, Julien Schluth:
Apport des données thématiques dans les systèmes de recommandation : hybridation et démarrage à froid. EGC 2011: 215-220 - [c59]
- [c58]Stéphane Clinchant, Éric Gaussier:
Do IR models satisfy the TDC retrieval constraint. SIGIR 2011: 1155-1156 - [c57]
- 2010
- [j6]Éric Gaussier:
Statistical Language Models for Information Retrieval - ChengXiang Zhai, Morgan & Claypool, 2008; xiii+125 pp, ISBN 978-1-59829-590-0. Computational Linguistics 36(2): 279-281 (2010) - [j5]Aris Kosmopoulos, Éric Gaussier, Georgios Paliouras, Sujeevan Aseervatham:
The ECIR 2010 large scale hierarchical classification workshop. SIGIR Forum 44(1): 23-32 (2010) - [c56]Cédric Lagnier, Éric Gaussier:
Un Modèle de Diffusion de l'Information dans les Réseaux Sociaux. AAFD 2010: 49-64 - [c55]Trong-Ton Pham, Philippe Mulhem, Loïc Maisonnasse, Éric Gaussier, Ali Aït-Bachir:
Integration of spatial relationships in visual language model for scene retrieval. CBMI 2010: 1-6 - [c54]Bo Li, Éric Gaussier:
Improving Corpus Comparability for Bilingual Lexicon Extraction from Comparable Corpora. COLING 2010: 644-652 - [c53]
- [c52]Ali Mustafa Qamar, Éric Gaussier:
Similarity Learning in Nearest Neighbor and Relief Algorithm. ICMLA 2010: 183-189 - [c51]
- [c50]Ali Mustafa Qamar, Éric Gaussier:
Similarity learning in nearest neighbor, positive semi-definitiveness and RELIEF algorithm. SoCPaR 2010: 291-296 - [p1]Loïc Maisonnasse, Jean-Pierre Chevallet, Éric Gaussier:
Conceptual Indexing Contribution to ImageCLEF Medical Retrieval Tasks. ImageCLEF 2010: 381-396 - [r1]Jacques Savoy, Éric Gaussier:
Information Retrieval. Handbook of Natural Language Processing 2010: 455-484
2000 – 2009
- 2009
- [c49]Stéphane Clinchant, Éric Gaussier:
Retrieval constraints and word frequency distributions: a log-logistic model for IR. CIKM 2009: 1975-1978 - [c48]Ali Mustafa Qamar, Éric Gaussier, Nathalie Denos:
Batch Document Filtering Using Nearest Neighbor Algorithm. CLEF (1) 2009: 354-361 - [c47]Ali Mustafa Qamar, Éric Gaussier, Nathalie Denos:
Batch Document Filtering Using Nearest Neighbor Algorithm. CLEF (Working Notes) 2009 - [c46]Trong-Ton Pham, Loïc Maisonnasse, Philippe Mulhem, Éric Gaussier:
Modèle de langue visuel pour la reconnaissance de scènes. CORIA 2009: 99-112 - [c45]Loïc Maisonnasse, Éric Gaussier, Jean-Pierre Chevallet:
Model Fusion in Conceptual Language Modeling. ECIR 2009: 240-251 - [c44]Ali Mustafa Qamar, Éric Gaussier:
Online and Batch Learning of Generalized Cosine Similarities. ICDM 2009: 926-931 - [c43]