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ORCIDMassih-Reza Amini
- > Home > Persons > Massih-Reza Amini
Publications
- 2017
[j13]Parantapa Goswami, Éric Gaussier, Massih-Reza Amini:
Exploring the space of information retrieval term scoring functions. Inf. Process. Manag. 53(2): 454-472 (2017)- [c72]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 - 2016
- [j12]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) - [c67]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 - [c65]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 - 2015
- [c60]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
À la recherche des paramètres des modèles de RI. CORIA 2015: 173-187 - [c58]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 - [c57]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 - [c56]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections. ICTIR 2015: 121-130 - [c55]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Study of Heuristic IR Constraints Under Function Discovery Framework. ICTIR 2015: 365-368 - [c54]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 - [c53]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 - [c52]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 - [i1]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
- [j10]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) - [c51]Parantapa Goswami, Simon Moura, Éric Gaussier, Massih-Reza Amini, Francis Maes:
Exploring the Space of IR Functions. ECIR 2014: 372-384 - [c50]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 - [c49]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 - 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 - [c48]Parantapa Goswami, Massih-Reza Amini, Éric Gaussier:
Transferring knowledge with source selection to learn IR functions on unlabeled collections. CIKM 2013: 2315-2320 - [c47]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 - [c46]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 - [c44]Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini:
On Flat versus Hierarchical Classification in Large-Scale Taxonomies. NIPS 2013: 1824-1832
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