Bio

I am a PhD student at the eXascale Infolab University of Fribourg, from March 2017. I hold an engineering degree from SUP’COM (Tunisia). During my university career, I was part of an exchange student program in 2016 at University of Padova in Italy. My main research interests include large time series analysis, prediction models and crowdsourcing.

Bibliography

1. Inès Arous, Ljiljana Dolamic, and Philippe Cudré-Mauroux. “TaxoComplete: Self-Supervised Taxonomy Completion Leveraging Position-Enhanced Semantic Matching..” In Proceedings of the ACM Web Conference (WWW 2023), 2023. Bibtex PDF

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

   Inès Arous, Ljiljana Dolamic, and Philippe Cudré-Mauroux. “TaxoComplete: Self-Supervised Taxonomy Completion Leveraging Position-Enhanced Semantic Matching..” In Proceedings of the ACM Web Conference (WWW 2023), 2023.

   @inproceedings{arous2023www,
     author = {Arous, Inès and Dolamic, Ljiljana and Cudré-Mauroux, Philippe},
     title = {TaxoComplete: Self-Supervised Taxonomy Completion Leveraging Position-Enhanced Semantic Matching.},
     booktitle = {Proceedings of the ACM Web Conference (WWW 2023)},
     year = {2023},
     url = {https://exascale.info/assets/pdf/arous2023www.pdf}
   }
   

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2. Mourad Khayati, Ines Arous, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams.” In Proceedings of the VLDB Endowment (PVLDB), Vol. 14, 2021. Bibtex PDF Code Poster

   ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams

   Mourad Khayati, Ines Arous, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams.” In Proceedings of the VLDB Endowment (PVLDB), Vol. 14, 2021.

   @inproceedings{khayati2021vldb,
     author = {Khayati, Mourad and Arous, Ines and Tymchenko, Zakhar and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams},
     booktitle = {Proceedings of the VLDB Endowment (PVLDB)},
     volume = {14},
     number = {3},
     year = {2021},
     code = {https://github.com/eXascaleInfolab/orbits},
     poster = {https://exascale.info/assets/pdf/khayati2021vldb_poster.pdf},
     url = {http://www.vldb.org/pvldb/vol14/p294-khayati.pdf}
   }
   

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3. Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process.” In Proceedings of the Web Conference (WWW 2021). Ljubljana, Slovenia, 2021. Bibtex PDF Code

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

   Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process.” In Proceedings of the Web Conference (WWW 2021). Ljubljana, Slovenia, 2021.

   @inproceedings{arous2021www,
     title = {Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process},
     author = {Arous, Ines and Yang, Jie and Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {Proceedings of the Web Conference (WWW 2021)},
     year = {2021},
     address = {Ljubljana, Slovenia},
     url = {https://exascale.info/assets/pdf/arous2021www.pdf},
     code = {https://github.com/eXascaleInfolab/pgpr}
   }
   

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4. Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, and Philippe Cudré-Mauroux. “MARTA: Leveraging Human Rationales for Explainable Text Classification.” In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021). A Virtual Conference, 2021. Bibtex Slides PDF Appendix Code Poster

   MARTA: Leveraging Human Rationales for Explainable Text Classification

   Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, and Philippe Cudré-Mauroux. “MARTA: Leveraging Human Rationales for Explainable Text Classification.” In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021). A Virtual Conference, 2021.

   @inproceedings{arous2021aaai,
     title = {MARTA: Leveraging Human Rationales for Explainable Text Classification},
     author = {Arous, Ines and Dolamic, Ljiljana and Yang, Jie and Bhardwaj, Akansha and Cuccu, Giuseppe and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021)},
     year = {2021},
     address = {A Virtual Conference},
     url = {https://exascale.info/assets/pdf/arous2021aaai.pdf},
     appendix = {https://exascale.info/assets/pdf/arous2020AAAI-sm.pdf},
     note = {https://exascale.info/assets/pdf/arous2021aaai_slides.pdf},
     poster = {https://exascale.info/assets/pdf/arous2021aaai_poster.pdf},
     code = {https://github.com/eXascaleInfolab/MARTA}
   }
   

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5. Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.” In Proceedings of the Web Conference (WWW 2020). Taipei, Taiwan, 2020. Bibtex Slides PDF Code Video

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

   Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.” In Proceedings of the Web Conference (WWW 2020). Taipei, Taiwan, 2020.

   @inproceedings{arous2020www,
     title = {OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation},
     author = {Arous, Ines and Yang, Jie and Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {Proceedings of the Web Conference (WWW 2020)},
     year = {2020},
     address = {Taipei, Taiwan},
     url = {https://exascale.info/assets/pdf/arous2020www.pdf},
     note = {https://exascale.info/assets/pdf/arous2020www-slides.pdf},
     video = {https://www.youtube.com/watch?v=LOPgd-8TS-k&list=PLJNwhMK_V7EwEzlo9exv6COBKA3MQ28KW&index=3&ab_channel=TheWebConference2020Web},
     code = {https://github.com/eXascaleInfolab/OpenCrowd}
   }
   

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6. Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, Ying Zhang, Martin Kersten, and Svetlin Stalinlov. “RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series.” In Proceedings of the IEEE International Conference on Data Engineering (ICDE 2019). Demo Track. Macau, China, 2019. Bibtex PDF Code Poster Tool

   RecovDB: accurate and efficient missing blocks recovery for large time series

   Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, Ying Zhang, Martin Kersten, and Svetlin Stalinlov. “RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series.” In Proceedings of the IEEE International Conference on Data Engineering (ICDE 2019). Demo Track. Macau, China, 2019.

   @inproceedings{arous2019icde,
     title = {RecovDB: accurate and efficient missing blocks recovery for large time series},
     author = {Arous, Ines and Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe and Zhang, Ying and Kersten, Martin and Stalinlov, Svetlin},
     booktitle = {Proceedings of the IEEE International Conference on Data Engineering (ICDE 2019). Demo Track},
     year = {2019},
     address = {Macau, China},
     url = {https://exascale.info/assets/pdf/recovdb19.pdf},
     code = {https://github.com/eXascaleInfolab/2018-RecovDB},
     poster = {https://exascale.info/assets/pdf/recovdb2019poster.pdf},
     tool = {https://exascale.info/projects/recovdb/}
   }
   

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Talks & Presentations

22.04.2020 OpenCrowd @WWW

06.02.2021 MARTA @AAAI