Sandipan Sikdar

48 papers A* 5A 5B 1Journal 26Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multicalibration in Fair Link Prediction. IEEE Trans. Comput. Soc. Syst. Manjish Pal, Sandipan Sikdar, Niloy Ganguly
2026	J	`jnl`	Towards Sensitivity-Aware Language Models. CoRR Dren Fazlija, Iyiola E. Olatunji, Daniel Kudenko, Sandipan Sikdar
2025	—	`conf`	ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness. ACL (Findings) Dren Fazlija, Arkadij Orlov, Sandipan Sikdar
2025	J	`jnl`	ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness. CoRR Dren Fazlija, Arkadij Orlov, Sandipan Sikdar
2025	A*	`conf`	Evaluating LLMs' (In)ability to Follow Prompts in QA Tasks. SIGIR Aparup Khatua, Tobias Kalmbach, Prasenjit Mitra, Sandipan Sikdar
2025	A	`conf`	Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions. ICWSM Siddharth D. Jaiswal, Sagnik Basu, Sandipan Sikdar, Animesh Mukherjee
2025	J	`jnl`	Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions. CoRR Siddharth D. Jaiswal, Sagnik Basu, Sandipan Sikdar, Animesh Mukherjee
2025	J	`jnl`	Fair Link Prediction With Overlapping Groups. IEEE Trans. Comput. Soc. Syst. Manjish Pal, Sandipan Sikdar, Niloy Ganguly
2025	J	`jnl`	Fed-FUEL: fairness and utility enhancing agnostic federated learning framework. Data Min. Knowl. Discov. Maryam Badar, Raneen Younis, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella
2025	J	`jnl`	Properties of Group Fairness Measures for Rankings. ACM Trans. Soc. Comput. Tobias Schumacher, Marlene Lutz, Sandipan Sikdar, Markus Strohmaier
2025	—	`conf`	Recommendation Fairness in Social Networks Over Time. SNAMS Meng Cao, Hussain Hussain, Sandipan Sikdar, Denis Helic, Markus Strohmaier, Roman Kern
2024	A*	`conf`	FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. AAAI Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella
2024	A*	`conf`	IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers. AAAI Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar
2024	A	`conf`	IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models. ECAI Seham Nasr, Sandipan Sikdar
2024	J	`jnl`	Recommendation Fairness in Social Networks Over Time. CoRR Meng Cao, Hussain Hussain, Sandipan Sikdar, Denis Helic, Markus Strohmaier, Roman Kern
2024	—	`conf`	Rethinking Evaluation Methods for Machine Unlearning. EMNLP (Findings) Leon Wichert, Sandipan Sikdar
2024	A	`conf`	TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning. ECAI Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella
2023	J	`jnl`	A Review of the Role of Causality in Developing Trustworthy AI Systems. CoRR Niloy Ganguly, Dren Fazlija, Maryam Badar, Marco Fisichella, Sandipan Sikdar, Johanna Schrader, Jonas Wallat, Koustav Rudra, Manolis Koubarakis, Gourab K. Patro, Wadhah Zai El Amri, Wolfgang Nejdl
2023	J	`jnl`	IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers. CoRR Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar
2023	J	`jnl`	SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings. CoRR Jan Engler, Sandipan Sikdar, Marlene Lutz, Markus Strohmaier
2022	A*	`conf`	Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. ICDM Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern
2022	J	`jnl`	Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. CoRR Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern
2022	—	`conf`	GetFair: Generalized Fairness Tuning of Classification Models. FAccT Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier
2022	J	`jnl`	Properties of Group Fairness Metrics for Rankings. CoRR Tobias Schumacher, Marlene Lutz, Sandipan Sikdar, Markus Strohmaier
2022	—	`conf`	SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings. EMNLP (Findings) Jan Engler, Sandipan Sikdar, Marlene Lutz, Markus Strohmaier
2021	—	`conf`	Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models. ACL/IJCNLP (1) Sandipan Sikdar, Parantapa Bhattacharya, Kieran Heese
2021	J	`jnl`	The Effects of Gender Signals and Performance in Online Product Reviews. Frontiers Big Data Sandipan Sikdar, Rachneet Singh Sachdeva, Johannes Wachs, Florian Lemmerich, Markus Strohmaier
2020	J	`jnl`	On the effectiveness of the scientific peer-review system: a case study of the Journal of High Energy Physics. Int. J. Digit. Libr. Sandipan Sikdar, Paras Tehria, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee
2020	J	`jnl`	The Effects of Gender Signals and Performance in Online Product Reviews. CoRR Sandipan Sikdar, Rachneet Singh Sachdeva, Johannes Wachs, Florian Lemmerich, Markus Strohmaier
2020	A*	`conf`	The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings. WWW Binny Mathew, Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier
2020	J	`jnl`	The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings. CoRR Binny Mathew, Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier
2020	—	`conf`	Topic Influence Graph Based Analysis of Seminal Papers. COMAD/CODS Abhirut Gupta, Sandipan Sikdar, Prateeti Mohapatra, Niloy Ganguly
2019	—	`conf`	StRE: Self Attentive Edit Quality Prediction in Wikipedia. ACL (1) Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee
2019	J	`jnl`	StRE: Self Attentive Edit Quality Prediction in Wikipedia. CoRR Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee
2018	A	`conf`	ComPAS: Community Preserving Sampling for Streaming Graphs. AAMAS Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee
2018	J	`jnl`	ComPAS: Community Preserving Sampling for Streaming Graphs. CoRR Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee
2018	J	`jnl`	Significance of scientific peer-review system: A case study of the Journal of High Energy Physics. Bull. IEEE Tech. Comm. Digit. Libr. Sandipan Sikdar
2018	J	`jnl`	Using Core-Periphery Structure to Predict High Centrality Nodes in Time-Varying Networks. CoRR Soumya Sarkar, Sandipan Sikdar, Animesh Mukherjee, Sanjukta Bhowmick
2018	J	`jnl`	Using core-periphery structure to predict high centrality nodes in time-varying networks. Data Min. Knowl. Discov. Soumya Sarkar, Sandipan Sikdar, Sanjukta Bhowmick, Animesh Mukherjee
2017	—	`conf`	Influence of Reviewer Interaction Network on Long-Term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics. JCDL Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee
2017	J	`jnl`	Influence of Reviewer Interaction Network on Long-term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics. CoRR Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee
2016	A	`conf`	Anomalies in the Peer-review System: A Case Study of the Journal of High Energy Physics. CIKM Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee
2016	J	`jnl`	Anomalies in the peer-review system: A case study of the journal of High Energy Physics. CoRR Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee
2016	—	`conf`	Identifying and Characterizing Sleeping Beauties on YouTube. CSCW Companion Sandipan Sikdar, Anshit E. Chaudhary, Shraman Kumar, Niloy Ganguly, Abhijnan Chakraborty, Gaurav Kumar, Abhijeet Patil, Animesh Mukherjee
2015	—	`conf`	On the broadcast of segmented messages in dynamic networks. INFOCOM Workshops Sandipan Sikdar, Marcin Bodych, Rajib Ranjan Maiti, Biswajit Paria, Niloy Ganguly, Tyll Krueger, Animesh Mukherjee
2015	J	`jnl`	Time series analysis of temporal networks. CoRR Sandipan Sikdar, Niloy Ganguly, Animesh Mukherjee
2014	J	`jnl`	Citation interactions among computer science fields: a quantitative route to the rise and fall of scientific research. Soc. Netw. Anal. Min. Tanmoy Chakraborty, Sandipan Sikdar, Niloy Ganguly, Animesh Mukherjee
2013	B	`conf`	Computer science fields as ground-truth communities: their impact, rise and fall. ASONAM Tanmoy Chakraborty, Sandipan Sikdar, Vihar Tammana, Niloy Ganguly, Animesh Mukherjee