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ORCIDSandipan Sikdar
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2020 – today
- 2024
[c17]Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella:
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. AAAI 2024: 10962-10970- [c16]Jingge Xiao, Leonie Basso
, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar:
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers. AAAI 2024: 16023-16031 - [c15]Seham Nasr, Sandipan Sikdar:
IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models. ECAI 2024: 1108-1115 - [c14]Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella:
TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning. ECAI 2024: 2370-2377 - [i14]Meng Cao, Hussain Hussain, Sandipan Sikdar, Denis Helic, Markus Strohmaier, Roman Kern:
Recommendation Fairness in Social Networks Over Time. CoRR abs/2402.03450 (2024) - 2023
- [i13]Jan Engler, Sandipan Sikdar, Marlene Lutz, Markus Strohmaier:
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings. CoRR abs/2301.04704 (2023) - [i12]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:
A Review of the Role of Causality in Developing Trustworthy AI Systems. CoRR abs/2302.06975 (2023) - [i11]Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar:
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers. CoRR abs/2305.06741 (2023) - 2022
- [c13]Jan Engler, Sandipan Sikdar, Marlene Lutz, Markus Strohmaier:
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings. EMNLP (Findings) 2022: 4607-4619 - [c12]Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier:
GetFair: Generalized Fairness Tuning of Classification Models. FAccT 2022: 289-299 - [c11]Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern:
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. ICDM 2022: 975-980 - [i10]Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern:
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. CoRR abs/2209.05957 (2022) - [i9]Tobias Schumacher, Marlene Lutz, Sandipan Sikdar, Markus Strohmaier:
Properties of Group Fairness Metrics for Rankings. CoRR abs/2212.14351 (2022) - 2021
- [j5]Sandipan Sikdar, Rachneet Singh Sachdeva, Johannes Wachs, Florian Lemmerich, Markus Strohmaier:
The Effects of Gender Signals and Performance in Online Product Reviews. Frontiers Big Data 4: 771404 (2021) - [c10]Sandipan Sikdar, Parantapa Bhattacharya, Kieran Heese:
Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models. ACL/IJCNLP (1) 2021: 865-878 - 2020
- [j4]Sandipan Sikdar, Paras Tehria, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
On the effectiveness of the scientific peer-review system: a case study of the Journal of High Energy Physics. Int. J. Digit. Libr. 21(2): 93-107 (2020) - [c9]Abhirut Gupta, Sandipan Sikdar, Prateeti Mohapatra, Niloy Ganguly:
Topic Influence Graph Based Analysis of Seminal Papers. COMAD/CODS 2020: 224-228 - [c8]Binny Mathew, Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier:
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings. WWW 2020: 1548-1558 - [i8]Binny Mathew, Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier:
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings. CoRR abs/2001.09876 (2020) - [i7]Sandipan Sikdar, Rachneet Singh Sachdeva, Johannes Wachs, Florian Lemmerich, Markus Strohmaier:
The Effects of Gender Signals and Performance in Online Product Reviews. CoRR abs/2001.09955 (2020)
2010 – 2019
- 2019
- [c7]Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee:
StRE: Self Attentive Edit Quality Prediction in Wikipedia. ACL (1) 2019: 3962-3972 - [i6]Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee:
StRE: Self Attentive Edit Quality Prediction in Wikipedia. CoRR abs/1906.04678 (2019) - 2018
- [j3]Soumya Sarkar, Sandipan Sikdar, Sanjukta Bhowmick, Animesh Mukherjee:
Using core-periphery structure to predict high centrality nodes in time-varying networks. Data Min. Knowl. Discov. 32(5): 1368-1396 (2018) - [j2]Sandipan Sikdar:
Significance of scientific peer-review system: A case study of the Journal of High Energy Physics. Bull. IEEE Tech. Comm. Digit. Libr. 14(1) (2018) - [c6]Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee:
ComPAS: Community Preserving Sampling for Streaming Graphs. AAMAS 2018: 184-192 - [i5]Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee:
ComPAS: Community Preserving Sampling for Streaming Graphs. CoRR abs/1802.01614 (2018) - [i4]Soumya Sarkar, Sandipan Sikdar, Animesh Mukherjee, Sanjukta Bhowmick:
Using Core-Periphery Structure to Predict High Centrality Nodes in Time-Varying Networks. CoRR abs/1806.07868 (2018) - 2017
- [c5]Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
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 2017: 179-188 - [i3]Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
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 abs/1705.01089 (2017) - 2016
- [c4]Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
Anomalies in the Peer-review System: A Case Study of the Journal of High Energy Physics. CIKM 2016: 2245-2250 - [c3]Sandipan Sikdar, Anshit E. Chaudhary, Shraman Kumar, Niloy Ganguly, Abhijnan Chakraborty, Gaurav Kumar, Abhijeet Patil, Animesh Mukherjee:
Identifying and Characterizing Sleeping Beauties on YouTube. CSCW Companion 2016: 405-408 - [i2]Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
Anomalies in the peer-review system: A case study of the journal of High Energy Physics. CoRR abs/1608.04875 (2016) - 2015
- [c2]Sandipan Sikdar, Marcin Bodych, Rajib Ranjan Maiti, Biswajit Paria, Niloy Ganguly, Tyll Krueger, Animesh Mukherjee:
On the broadcast of segmented messages in dynamic networks. INFOCOM Workshops 2015: 426-431 - [i1]Sandipan Sikdar, Niloy Ganguly, Animesh Mukherjee:
Time series analysis of temporal networks. CoRR abs/1512.01344 (2015) - 2014
- [j1]Tanmoy Chakraborty, Sandipan Sikdar, Niloy Ganguly, Animesh Mukherjee:
Citation interactions among computer science fields: a quantitative route to the rise and fall of scientific research. Soc. Netw. Anal. Min. 4(1): 187 (2014) - 2013
- [c1]Tanmoy Chakraborty, Sandipan Sikdar, Vihar Tammana, Niloy Ganguly, Animesh Mukherjee:
Computer science fields as ground-truth communities: their impact, rise and fall. ASONAM 2013: 426-433
Coauthor Index
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