Kanishka Ghosh Dastidar

18 papers A* 2A 2Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Behind the Prompt: The Agent-User Problem in Information Retrieval. CoRR Saber Zerhoudi, Michael Granitzer, Dang Hai Dang, Jelena Mitrovic, Florian Lemmerich, Annette Hautli-Janisz, Stefan Katzenbeisser, Kanishka Ghosh Dastidar
2026	—	`conf`	CoRECT: A Framework for Evaluating Embedding Compression Techniques at Scale. ECIR (4) Laura Caspari, Michael Dinzinger, Kanishka Ghosh Dastidar, Christofer Fellicious, Jelena Mitrovic, Michael Granitzer
2025	J	`jnl`	Benevolent Dictators? On LLM Agent Behavior in Dictator Games. CoRR Andreas Einwiller, Kanishka Ghosh Dastidar, Artur Romazanov, Annette Hautli-Janisz, Michael Granitzer, Florian Lemmerich
2025	J	`jnl`	CoRECT: A Framework for Evaluating Embedding Compression Techniques at Scale. CoRR Laura Caspari, Michael Dinzinger, Kanishka Ghosh Dastidar, Christofer Fellicious, Jelena Mitrovic, Michael Granitzer
2025	—	`conf`	Combining Embedding Models for RAG: A Similarity-Based Approach. WOWS Kanishka Ghosh Dastidar, Michael Dinzinger, Laura Caspari, Jelena Mitrovic, Michael Granitzer
2025	A	`conf`	Compressed Concatenation of Small Embedding Models. CIKM Mohamed Ayoub Ben Ayad, Michael Dinzinger, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer
2025	J	`jnl`	Compressed Concatenation of Small Embedding Models. CoRR M. Ayoub Ben Ayad, Michael Dinzinger, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer
2025	—	`conf`	Investigating the Robustness of Embedding Models on Noisy Input Texts. WOWS Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer
2025	A*	`conf`	WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval. SIGIR Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer
2025	J	`jnl`	WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval. CoRR Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer
2024	—	`conf`	Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems. IR-RAG@SIGIR Laura Caspari, Kanishka Ghosh Dastidar, Saber Zerhoudi, Jelena Mitrovic, Michael Granitzer
2024	J	`jnl`	Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems. CoRR Laura Caspari, Kanishka Ghosh Dastidar, Saber Zerhoudi, Jelena Mitrovic, Michael Granitzer
2024	J	`jnl`	Machine Learning Methods for Credit Card Fraud Detection: A Survey. IEEE Access Kanishka Ghosh Dastidar, Olivier Caelen, Michael Granitzer
2022	—	`conf`	Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud Detection. LOD (2) Kanishka Ghosh Dastidar, Wissam Siblini, Michael Granitzer
2022	J	`jnl`	NAG: neural feature aggregation framework for credit card fraud detection. Knowl. Inf. Syst. Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Michael Granitzer
2022	A	`conf`	The Importance of Future Information in Credit Card Fraud Detection. AISTATS Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini
2022	J	`jnl`	The Importance of Future Information in Credit Card Fraud Detection. CoRR Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini
2020	A*	`conf`	NAG: Neural feature aggregation framework for credit card fraud detection. ICDM Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer