Kanishka Ghosh Dastidar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ECIR | CoRECT: A Framework for Evaluating Embedding Compression Techniques at Scale. | Laura Caspari, Michael Dinzinger, Kanishka Ghosh Dastidar, Christofer Fellicious, Jelena Mitrovic, Michael Granitzer |
| 2026 | ICTIR | Bridging the Gap between Subsampled and Full-Corpus Evaluation. | Michael Dinzinger, Kanishka Ghosh Dastidar, Laura Caspari, Jelena Mitrovic, Michael Granitzer |
| 2026 | SIGIR | Query Performance Prediction under Corpus Growth in Dense Retrieval. | Kanishka Ghosh Dastidar, Michael Dinzinger, Laura Caspari, Jelena Mitrovic, Michael Granitzer |
| 2025 | CIKM | Compressed Concatenation of Small Embedding Models. | Mohamed Ayoub Ben Ayad, Michael Dinzinger, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer |
| 2025 | SIGIR | WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval. | Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer |
| 2022 | AISTATS | The Importance of Future Information in Credit Card Fraud Detection. | Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini |
| 2020 | ICDM | NAG: Neural feature aggregation framework for credit card fraud detection. | Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer |