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ORCIDÉric Gaussier
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- affiliation: Joseph Fourier University, Grenoble Informatics Laboratory (LIG)
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2020 – today
- 2024
[j46]Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller:
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms. Trans. Mach. Learn. Res. 2024 (2024)- [c143]Anna Laskina, Éric Gaussier, Gaëlle Calvary:
A Closer Look at Clustering Bilingual Comparable Corpora. LREC/COLING 2024: 133-142 - [c142]Minghan Li, Éric Gaussier:
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling. LREC/COLING 2024: 5247-5259 - [i27]Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier:
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CoRR abs/2402.06500 (2024) - [i26]Minghan Li, Éric Gaussier:
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling. CoRR abs/2403.08970 (2024) - [i25]Alexandre Seiller, Éric Gaussier, Emilie Devijver, Marianne Clausel, Sami Alkhoury:
Ensembles of Probabilistic Regression Trees. CoRR abs/2406.14033 (2024) - 2023
- [j45]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Efficient bilingual lexicon extraction from comparable corpora based on formal concepts analysis. Nat. Lang. Eng. 29(1): 138-161 (2023) - [j44]Minghan Li
, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. ACM Trans. Inf. Syst. 41(3): 73:1-73:35 (2023) - [c141]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). IJCAI 2023: 6839-6844 - [c140]Minghan Li, Éric Gaussier:
Adaptation de domaine pour la recherche dense par annotation automatique. CORIA-TALN 2023: 93-110 - [c139]Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. CORIA-TALN 2023: 213 - [i24]Charles K. Assaad, Daria Bystrova, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller:
Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series. CoRR abs/2306.08765 (2023) - [i23]Ali Aït-Bachir, Charles K. Assaad, Christophe de Bignicourt, Emilie Devijver, Simon Ferreira, Éric Gaussier, Hosein Mohanna, Lei Zan:
Case Studies of Causal Discovery from IT Monitoring Time Series. CoRR abs/2307.15678 (2023) - [i22]Charles K. Assaad, Emilie Devijver, Éric Gaussier, Gregor Gössler, Anouar Meynaoui:
Identifiability of total effects from abstractions of time series causal graphs. CoRR abs/2310.14691 (2023) - 2022
- [j43]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Entropy-Based Discovery of Summary Causal Graphs in Time Series. Entropy 24(8): 1156 (2022) - [j42]Lei Zan, Anouar Meynaoui, Charles K. Assaad, Emilie Devijver, Éric Gaussier:
A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test. Entropy 24(9): 1234 (2022) - [j41]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Survey and Evaluation of Causal Discovery Methods for Time Series. J. Artif. Intell. Res. 73: 767-819 (2022) - [j40]Yaqiong Li, Xuhui Fan, Éric Gaussier:
Supervised Categorical Metric Learning With Schatten p-Norms. IEEE Trans. Cybern. 52(4): 2059-2069 (2022) - [c138]Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders:
Listwise Learning to Rank Based on Approximate Rank Indicators. AAAI 2022: 8494-8502 - [c137]Minghan Li, Éric Gaussier:
Intra-document Block Pre-ranking for BERT-based Long Document Information Retrieval - Abstract. CIRCLE 2022 - [c136]Minghan Li, Éric Gaussier:
BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval. SIGIR 2022: 2347-2352 - [c135]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Discovery of extended summary graphs in time series. UAI 2022: 96-106 - [e5]Fabio Crestani, Gabriella Pasi, Éric Gaussier:
ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022. ACM 2022, ISBN 978-1-4503-9412-3 [contents] - [i21]Mariia Garkavenko, Éric Gaussier, Hamid Mirisaee, Cédric Lagnier, Agnès Guerraz:
Where Do You Want To Invest? Predicting Startup Funding From Freely, Publicly Available Web Information. CoRR abs/2204.06479 (2022) - [i20]Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Inferring extended summary causal graphs from observational time series. CoRR abs/2205.09422 (2022) - [i19]Minghan Li, Éric Gaussier:
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling. CoRR abs/2212.06552 (2022) - 2021
- [j39]Diana Nicoleta Popa, Julien Perez, James Henderson, Éric Gaussier:
Towards syntax-aware token embeddings. Nat. Lang. Eng. 27(6): 691-720 (2021) - [c134]Johan Chagnon, Diana Nicoleta Popa, Yagmur Gizem Cinar, Éric Gaussier:
Modelling document-query interaction in a hierarchical neural model for IR. CORIA 2021 - [c133]Quentin Grail, Julien Perez, Éric Gaussier:
Globalizing BERT-based Transformer Architectures for Long Document Summarization. EACL 2021: 1792-1810 - [c132]Mariia Garkavenko, Hamid Mirisaee, Éric Gaussier, Agnès Guerraz, Cédric Lagnier:
Valuation of Startups: A Machine Learning Perspective. ECIR (1) 2021: 176-189 - [c131]Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir:
A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series. ECML/PKDD (1) 2021: 453-468 - [c130]Minghan Li, Éric Gaussier:
KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. SIGIR 2021: 2207-2211 - [c129]Diana Nicoleta Popa, William N. Havard, Maximin Coavoux, Éric Gaussier, Laurent Besacier:
Contribution d'informations syntaxiques aux capacités de généralisation compositionelle des modèles seq2seq convolutifs (Assessing the Contribution of Syntactic Information for Compositional Generalization of seq2seq Convolutional Networks). TALN (1) 2021: 134-141 - [i18]Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders:
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics. CoRR abs/2105.00942 (2021) - [i17]Karim Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir:
Entropy-based Discovery of Summary Causal Graphs in Time Series. CoRR abs/2105.10381 (2021) - [i16]Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. CoRR abs/2111.09852 (2021) - 2020
- [j38]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier:
LTR-expand: query expansion model based on learning to rank association rules. J. Intell. Inf. Syst. 55(2): 261-286 (2020) - [j37]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Deep k-Means: Jointly clustering with k-Means and learning representations. Pattern Recognit. Lett. 138: 185-192 (2020) - [c128]Romain Couillet, Yagmur Gizem Cinar, Éric Gaussier, Muhammad Imran:
Word Representations Concentrate and This is Good News! CoNLL 2020: 325-334 - [c127]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Seed-Guided Deep Document Clustering. ECIR (1) 2020: 3-16 - [c126]Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Éric Gaussier, Georges Oppenheim:
Smooth And Consistent Probabilistic Regression Trees. NeurIPS 2020 - [c125]Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin:
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. NeurIPS 2020 - [c124]Adrien Dulac, Éric Gaussier, Christine Largeron:
Mixed-Membership Stochastic Block Models for Weighted Networks. UAI 2020: 679-688 - [i15]Xuhui Fan, Éric Gaussier:
Supervised Categorical Metric Learning with Schatten p-Norms. CoRR abs/2002.11246 (2020) - [i14]Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin:
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. CoRR abs/2003.11593 (2020)
2010 – 2019
- 2019
- [j36]Abdelkader El Mahdaouy, Éric Gaussier, Saïd El Alaoui Ouatik:
Should one use term proximity or multi-word terms for Arabic information retrieval? Comput. Speech Lang. 58: 76-97 (2019) - [j35]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) - [j34]Abdelkader El Mahdaouy, Saïd El Alaoui Ouatik, Éric Gaussier:
Word-embedding-based pseudo-relevance feedback for Arabic information retrieval. J. Inf. Sci. 45(4) (2019) - [c123]Diana Nicoleta Popa, Julien Perez, James Henderson, Éric Gaussier:
Implicit Discourse Relation Classification with Syntax-Aware Contextualized Word Representations. FLAIRS 2019: 203-208 - [c122]Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir:
Scaling Causal Inference in Additive Noise Models. CD@KDD 2019: 22-33 - [c121]Hamid Mirisaee, Éric Gaussier, Cédric Lagnier, Agnès Guerraz:
Terminology-based Text Embedding for Computing Document Similarities on Technical Content. PFIA (TIA) 2019: 31-42 - [e4]Benjamin Piwowarski, Max Chevalier, Éric Gaussier, Yoelle Maarek, Jian-Yun Nie, Falk Scholer:
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019. ACM 2019, ISBN 978-1-4503-6172-9 [contents] - [i13]Hamid Mirisaee, Éric Gaussier, Cédric Lagnier, Agnès Guerraz:
Terminology-based Text Embedding for Computing Document Similarities on Technical Content. CoRR abs/1906.01874 (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. Int. J. Speech Technol. 21(1): 121-136 (2018) - [j31]Bo Li, Éric Gaussier, Dan Yang:
The Dilution/Concentration conditions for cross-language information retrieval models. Inf. Process. Manag. 54(2): 291-302 (2018) - [j30]Bo Li, Éric Gaussier, Dan Yang:
Measuring bilingual corpus comparability. Nat. Lang. Eng. 24(4): 523-549 (2018) - [j29]Cédric Lagnier, Éric Gaussier, François Kawala:
User-centered probabilistic models for content diffusion in the blogosphere. Online Soc. Networks 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 Distributed Syst. 29(10): 2304-2316 (2018) - [c120]Shubham Agarwal, Marc Dymetman, Éric Gaussier:
Char2char Generation with Reranking for the E2E NLG Challenge. INLG 2018: 451-456 - [c119]Éric Gaussier:
Semantic Annotation in the Biomedical Domain: Large-scale Classification and BioASQ. WWW (Companion Volume) 2018: 1045 - [i12]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Deep k-Means: Jointly Clustering with k-Means and Learning Representations. CoRR abs/1806.10069 (2018) - [i11]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) - [i10]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. Manag. 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. J. Mach. Learn. Res. 18: 130:1-130:38 (2017) - [c118]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 - [c117]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier:
Efficient Association Rules Selecting for Automatic Query Expansion. CICLing (2) 2017: 563-574 - [c116]Adrien Dulac, Éric Gaussier, Christine Largeron:
A Study of Stochastic Mixed Membership Models for Link Prediction in Social Networks. DSAA 2017: 706-715 - [c115]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 - [c114]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Bilingual Lexicon Extraction from Comparable Corpora Based on Closed Concepts Mining. PAKDD (1) 2017: 586-598 - [i9]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) - [i8]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) - [i7]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 Comput. Intell. 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. Int. J. Soc. Netw. Min. 2(3): 224-255 (2016) - [j21]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini, Cécile Amblard:
Learning Taxonomy Adaptation in Large-scale Classification. J. Mach. Learn. Res. 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 Recognit. Lett. 75: 63-69 (2016) - [c113]Abdelkader El Mahdaouy, Éric Gaussier, Saïd El Alaoui Ouatik:
Arabic Text Classification Based on Word and Document Embeddings. AISI 2016: 32-41 - [c112]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 - [c111]Raghav Goyal, Marc Dymetman, Éric Gaussier:
Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge. COLING 2016: 1083-1092 - [c110]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 - [c109]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier:
Expansion de requêtes par apprentissage. CORIA-CIFED 2016: 267-282 - [c108]Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama:
Task Composition in Crowdsourcing. DSAA 2016: 194-203 - [c107]Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Complex Embeddings for Simple Link Prediction. ICML 2016: 2071-2080 - [c106]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 - [i6]Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard:
Complex Embeddings for Simple Link Prediction. CoRR abs/1606.06357 (2016) - [i5]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 Bioinform. 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]Éric Gaussier, Sylvie Calabretto:
Introduction. Document Numérique 18(2-3): 7-8 (2015) - [c105]Seyed Hamid Mirisaee, Éric Gaussier, Alexandre Termier:
Improved Local Search for Binary Matrix Factorization. AAAI 2015: 1198-1204 - [c104]Vincent Leroy, Sihem Amer-Yahia, Éric Gaussier, Seyed Hamid Mirisaee:
Building Representative Composite Items. CIKM 2015: 1421-1430 - [c103]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
À la recherche des paramètres des modèles de RI. CORIA 2015: 173-187 - [c102]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Multilingual Documents Clustering Based on Closed Concepts Mining. DEXA (1) 2015: 517-524 - [c101]Ahlem Bouziri, Chiraz Latiri, Éric Gaussier, Yassin Belhareth:
Learning Query Expansion from Association Rules Between Terms. KDIR 2015: 525-530 - [c100]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 - [c99]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 - [c98]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections. ICTIR 2015: 121-130 - [c97]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Study of Heuristic IR Constraints Under Function Discovery Framework. ICTIR 2015: 365-368 - [c96]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 - [c95]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 - [c94]Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Extraction of Interlingual Documents Clusters Based on Closed Concepts Mining. KES 2015: 537-546 - [c93]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 - [c92]Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban:
Joint Semi-supervised Similarity Learning for Linear Classification. ECML/PKDD (1) 2015: 594-609 - [c91]Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier:
Progressive and Iterative Approaches for Time Series Averaging. AALTD@PKDD/ECML 2015 - [c90]Éric Gaussier, David Glesser, Valentin Reis, Denis Trystram:
Improving backfilling by using machine learning to predict running times. SC 2015: 64:1-64:10 - [c89]Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini:
Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning. ICLR (Workshop) 2015 - [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] - [i4]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 Intell. Syst. 29(4): 62-80 (2014) - [j15]Josiane Mothe, Yoann Pitarch, Éric Gaussier:
Big data, le cas des systèmes d'information. Ingénierie des Systèmes d Inf. 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 Explor. 16(1): 47-56 (2014) - [c88]Abdelkader El Mahdaouy, Éric Gaussier, Saïd El Alaoui Ouatik:
Exploring term proximity statistic for Arabic information retrieval. CIST 2014: 272-277 - [c87]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 - [c86]Seyed Hamid Mirisaee, Éric Gaussier, Alexandre Termier:
Itemset approximation using Constrained Binary Matrix Factorization. DSAA 2014: 39-45 - [c85]Parantapa Goswami, Simon Moura, Éric Gaussier, Massih-Reza Amini, Francis Maes:
Exploring the Space of IR Functions. ECIR 2014: 372-384 - [c84]