Kanishka Ghosh Dastidar

According to our database, Kanishka Ghosh Dastidar authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

Form Without Function: Agent Social Behavior in the Moltbook Network.

Saber Zerhoudi, Kanishka Ghosh Dastidar, Felix Klement, Artur Romazanov, Andreas Einwiller, Dang Hai Dang, Michael Dinzinger, Michael Granitzer, Annette Hautli-Janisz, Stefan Katzenbeisser, Florian Lemmerich, Jelena Mitrovic

CoRR, April, 2026

Behind the Prompt: The Agent-User Problem in Information Retrieval.

Saber Zerhoudi, Michael Granitzer, Dang Hai Dang, Jelena Mitrovic, Florian Lemmerich, Annette Hautli-Janisz, Stefan Katzenbeisser, Kanishka Ghosh Dastidar

CoRR, March, 2026

CoRECT: A Framework for Evaluating Embedding Compression Techniques at Scale.

Laura Caspari, Michael Dinzinger, Kanishka Ghosh Dastidar, Christofer Fellicious, Jelena Mitrovic, Michael Granitzer

Proceedings of the Advances in Information Retrieval, 2026

2025

Replication data for: Towards Multimodal Geospatial Reasoning: A Foundation Model Approach for Disaster Detection from Social Media, News, and Weather Data.

David Hanny, Kanishka Ghosh Dastidar, Marc Wieland, Michael Granitzer, Bernd Resch

Dataset, December, 2025

Benevolent Dictators? On LLM Agent Behavior in Dictator Games.

Andreas Einwiller, Kanishka Ghosh Dastidar, Artur Romazanov, Annette Hautli-Janisz, Michael Granitzer, Florian Lemmerich

CoRR, November, 2025

Investigating the Robustness of Embedding Models on Noisy Input Texts.

Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer

Proceedings of the 2nd International Workshop on Open Web Search co-located with the 47th European Conference on Information Retrieval (ECIR 2025), 2025

Combining Embedding Models for RAG: A Similarity-Based Approach.

Kanishka Ghosh Dastidar, Michael Dinzinger, Laura Caspari, Jelena Mitrovic, Michael Granitzer

Proceedings of the 2nd International Workshop on Open Web Search co-located with the 47th European Conference on Information Retrieval (ECIR 2025), 2025

WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval.

Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Compressed Concatenation of Small Embedding Models.

Mohamed Ayoub Ben Ayad, Michael Dinzinger, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Machine Learning Methods for Credit Card Fraud Detection: A Survey.

Kanishka Ghosh Dastidar, Olivier Caelen, Michael Granitzer

IEEE Access, 2024

Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems.

Laura Caspari, Kanishka Ghosh Dastidar, Saber Zerhoudi, Jelena Mitrovic, Michael Granitzer

Proceedings of the Workshop Information Retrieval's Role in RAG Systems (IR-RAG 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

2022

NAG: neural feature aggregation framework for credit card fraud detection.

Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Michael Granitzer

Knowl. Inf. Syst., 2022

Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud Detection.

Kanishka Ghosh Dastidar, Wissam Siblini, Michael Granitzer

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

The Importance of Future Information in Credit Card Fraud Detection.

Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

NAG: Neural feature aggregation framework for credit card fraud detection.

Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer

Proceedings of the 20th IEEE International Conference on Data Mining, 2020