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Publication search results
found 55 matches
- 2021
- Tiago Cunha, Ioannis Partalas, Phong Nguyen:
Juggler: Multi-Stakeholder Ranking with Meta-Learning. MORS@RecSys 2021 - Ioannis Partalas, Anne Morvan, Ali Sadeghian, Shervin Minaee, Xinxin Li, Brooke Cowan, Daisy Zhe Wang:
Hotel2vec: Learning Hotel Embeddings from User Click Sessions with Side Information. RecTour@RecSys 2021: 69-84 - Ioannis Partalas:
Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation. CoRR abs/2108.13824 (2021) - 2019
- Ali Sadeghian, Shervin Minaee, Ioannis Partalas, Xinxin Li, Daisy Zhe Wang, Brooke Cowan:
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision. CoRR abs/1910.03943 (2019) - Georgios Balikas, Ioannis Partalas:
Wasserstein distances for evaluating cross-lingual embeddings. CoRR abs/1910.11005 (2019) - 2018
- Georgios Balikas, Ioannis Partalas:
On the Effectiveness of Feature Set Augmentation Using Clusters of Word Embeddings. SwissText 2018: 26-32 - 2017
- Ioannis Partalas, Cédric Lopez, Pierre-Alain Avouac, Matthieu Osmuk, Domoina Rabarijaona, Dana Popovici, Frédérique Segond:
A Hybrid Approach for Detecting Influencers in Social Media. EGC 2017: 465-468 - Namrata Patel, Cédric Lopez, Ioannis Partalas, Frédérique Segond:
Une approche hybride pour la détection d'influenceurs dans les médias sociaux. IC 2017: 115-120 - Kévin Deturck, Namrata Patel, Pierre-Alain Avouac, Cédric Lopez, Damien Nouvel, Ioannis Partalas, Frédérique Segond:
Detecting Influencial Users in Social Networks: Analysing Graph-Based and Linguistic Perspectives. AI4KM@IJCAI 2017: 113-131 - Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov:
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. NIPS 2017: 4159-4168 - Georgios Balikas, Ioannis Partalas, Massih-Reza Amini:
On the effectiveness of feature set augmentation using clusters of word embeddings. CoRR abs/1705.01265 (2017) - Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov:
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. CoRR abs/1701.06511 (2017) - Cédric Lopez, Ioannis Partalas, Georgios Balikas, Nadia Derbas, Amélie Martin, Coralie Reutenauer, Frédérique Segond, Massih-Reza Amini:
CAp 2017 challenge: Twitter Named Entity Recognition. CoRR abs/1707.07568 (2017) - 2016
- 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) - Ioannis Partalas, Cédric Lopez, Nadia Derbas, Ruslan Kalitvianski:
Learning to Search for Recognizing Named Entities in Twitter. NUT@COLING 2016: 171-177 - Ioannis Partalas, Cédric Lopez, Frédérique Segond:
Comparing Named-Entity Recognizers in a Targeted Domain: Handcrafted Rules vs Machine Learning. JEP-TALN-RECITAL (Posters) 2016: 389-395 - Ioannis Partalas, Georgios Balikas:
e-Commerce product classification: our participation at cDiscount 2015 challenge. CoRR abs/1606.02854 (2016) - 2015
- Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Transfer learning with probabilistic mapping selection. Adapt. Behav. 23(1): 3-19 (2015) - 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) - 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) - Daniel Hernández-Lobato, Ioannis Katakis, Gonzalo Martínez-Muñoz, Ioannis Partalas:
Special Issue on "Solving complex machine learning problems with ensemble methods". Neurocomputing 150: 402-403 (2015) - Vasiliki Sfyrla, Ioannis Partalas, Richard Yann, Sebastian Maunoury:
Learning semantic models from event logs. BPM (Industry Track) 2015: 95-106 - Georgios Balikas, Anastasia Krithara, Ioannis Partalas, George Paliouras:
BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. MRDM@ECIR 2015: 26-39 - 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 - 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 - 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
- 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) - Georgios Balikas, Ioannis Partalas, Axel-Cyrille Ngonga Ngomo, Anastasia Krithara, Georgios Paliouras:
Results of the BioASQ Track of the Question Answering Lab at CLEF 2014. CLEF (Working Notes) 2014: 1181-1193 - Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
An Autonomous Transfer Learning Algorithm for TD-Learners. SETN 2014: 57-70 - 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
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