Wissam Siblini
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
9
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | MMTEB: Massive Multilingual Text Embedding Benchmark. | Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Mrton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Diganta Misra, Shreeya Dhakal, Jonathan Rystrm, Roman Solomatin, mer Veysel agatan, Akash Kundu, et al. |
| 2022 | AISTATS | The Importance of Future Information in Credit Card Fraud Detection. | Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini |
| 2021 | ACL | Towards a more Robust Evaluation for Conversational Question Answering. | Wissam Siblini, Baris Sayil, Yacine Kessaci |
| 2020 | DSAA | Incremental learning strategies for credit cards fraud detection: Extended abstract. | Bertrand Lebichot, Gian Marco Paldino, Gianluca Bontempi, Wissam Siblini, Liyun He-Guelton, Frdric Obl |
| 2020 | ICDM | NAG: Neural feature aggregation framework for credit card fraud detection. | Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer |
| 2020 | IDA | Master Your Metrics with Calibration. | Wissam Siblini, Jordan Frry, Liyun He-Guelton, Frdric Obl, Yi-Qing Wang |
| 2019 | IJCNN | A Count-sketch to Reduce Memory Consumption when Training a Model with Gradient Descent. | Wissam Siblini, Frank Meyer, Pascale Kuntz |
| 2019 | ICTAI | Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection. | Ayman Alazizi, Amaury Habrard, Franois Jacquenet, Liyun He-Guelton, Frdric Obl, Wissam Siblini |
| 2018 | ICML | CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning. | Wissam Siblini, Frank Meyer, Pascale Kuntz |