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Mikaela Keller
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2020 – today
- 2024
- [i7]Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller, Dorien Herremans:
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey. CoRR abs/2402.17467 (2024) - [i6]Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller:
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure. CoRR abs/2405.14521 (2024) - 2023
- [c8]Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller:
Fair Without Leveling Down: A New Intersectional Fairness Definition. EMNLP 2023: 9018-9032 - [c7]Bastien Liétard, Mikaela Keller, Pascal Denis:
A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models. *SEM@ACL 2023: 338-352 - [i5]Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller:
How to Capture Intersectional Fairness. CoRR abs/2305.12495 (2023) - [i4]Bastien Liétard, Mikaela Keller, Pascal Denis:
A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models. CoRR abs/2305.19143 (2023) - 2022
- [c6]Gaurav Maheshwari, Pascal Denis, Mikaela Keller, Aurélien Bellet:
Fair NLP Models with Differentially Private Text Encoders. EMNLP (Findings) 2022: 6913-6930 - [i3]Gaurav Maheshwari, Pascal Denis, Mikaela Keller, Aurélien Bellet:
Fair NLP Models with Differentially Private Text Encoders. CoRR abs/2205.06135 (2022)
2010 – 2019
- 2015
- [i2]Pauline Wauquier, Mikaela Keller:
Metric learning for graph-based label propgation. CoRR abs/1511.05789 (2015) - 2012
- [c5]Antonino Freno, Mikaela Keller, Marc Tommasi:
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. NIPS 2012: 1871-1879 - [c4]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. UAI 2012: 265-274 - [i1]Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. CoRR abs/1210.4860 (2012) - 2010
- [j2]Wendy Webber Chapman
, John N. Dowling, Atar Baer, David L. Buckeridge, Dennis Cochrane, Michael A. Conway, Peter L. Elkin, Jeremy U. Espino, Julia E. Gunn, Craig M. Hales
, Lori Hutwagner, Mikaela Keller, Catherine Larson, Rebecca Noe, Anya Okhmatovskaia, Karen Olson, Marc Paladini, Matthew Scholer, Carol Sniegoski, David Thompson, Bill Lober:
Developing syndrome definitions based on consensus and current use. J. Am. Medical Informatics Assoc. 17(5): 595-601 (2010)
2000 – 2009
- 2009
- [j1]Mikaela Keller, Clark C. Freifeld, John S. Brownstein:
Automated vocabulary discovery for geo-parsing online epidemic intelligence. BMC Bioinform. 10: 385 (2009) - 2006
- [b1]Mikaela Keller:
Machine Learning Approaches to Text Representation using Unlabeled Data. (Approches d'apprentissage automatiques pour le représentation de textes à travers l'utilisation de données non-étiquetées). École Polytechnique Fédérale de Lausanne, Écublens, Vaud, Switzerland, 2006 - [c3]Oren Glickman, Ido Dagan, Walter Daelemans, Mikaela Keller, Samy Bengio:
Investigating Lexical Substitution Scoring for Subtitle Generation. CoNLL 2006: 45-52 - 2005
- [c2]Mikaela Keller, Samy Bengio:
A Neural Network for Text Representation. ICANN (2) 2005: 667-672 - [c1]Mikaela Keller, Samy Bengio, Siew Yeung Wong:
Benchmarking Non-Parametric Statistical Tests. NIPS 2005: 651-658
Coauthor Index
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last updated on 2024-06-20 20:39 CEST by the dblp team
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