Ines Arous

According to our database, Ines Arous authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale.

Sepideh Mesbah, Ines Arous, Jie Yang, Alessandro Bozzon

Proceedings of the ACM Web Conference 2023, 2023

TaxoComplete: Self-Supervised Taxonomy Completion Leveraging Position-Enhanced Semantic Matching.

Ines Arous, Ljiljana Dolamic, Philippe Cudré-Mauroux

Proceedings of the ACM Web Conference 2023, 2023

Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness.

Zichao Li, Ines Arous, Siva Reddy, Jackie Chi Kit Cheung

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process.

Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the WWW '21: The Web Conference 2021, 2021

MARTA: Leveraging Human Rationales for Explainable Text Classification.

Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams.

Mourad Khayati, Ines Arous, Zakhar Tymchenko, Philippe Cudré-Mauroux

Proc. VLDB Endow., 2020

OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.

Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

SwissFinder: Identifying Swiss Websites from Unstructured Content.

Zeno Bardelli, Ines Arous, Philippe Cudré-Mauroux, Ljiljana Dolamic

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series.

Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, Ying Zhang, Martin L. Kersten, Svetlin Stalinlov

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017

FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe.

Alessandro Checco, Gianluca Demartini, Alexander Löser, Ines Arous, Mourad Khayati, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinlov, Martin L. Kersten, Ying Zhang

CoRR, 2017