PUBLICATIONS

PREPRINTS

[A-2] Manisha Dubey, Sebastiaan De Peuter, Wanrong Wang, and Samuel Kaski. "Mixture-Model Preference Learning for Many-Objective Bayesian Optimization." arXiv preprint arXiv:2603.28410                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                

[A-1] Rubavicius, Rimvydas, Manisha Dubey, N. Siddharth, and Subramanian Ramamoorthy. "Understanding Human Actions through the Lens of Executable Models." arXiv preprint arXiv:2604.18064                                                                                                                                                                                                                                                                                                                                                     

JOURNALS

[J-2] Kumar, Ashish, Manisha Dubey, and Sangeeta Sharma. "GAttE: geographic attention model for extraction of       users’ current locations from social media texts: A. Kumar et al." Knowledge and Information Systems 68, no. 1 (2026): 128. (Q1, IF 3.1)

[J-1] Manisha Dubey, Ragja Palakkadavath, and P. K. Srijith. "Bayesian neural Hawkes process for event uncertainty prediction." International Journal of Data Science and Analytics 20 (JDSA), no. 2 (2025): 573-587. (Q1, IF 2.8)

CONFERENCES

[C-7] Vaibhav Shah, Manisha Dubey, Vishnuprasadh Kumaravelu, and P. K. Srijith. "Drift-aware Neural Hawkes Process for Time-to-Event Modelling." In 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024 

[C-6] Manisha Dubey, P. K. Srijith, and Maunendra Sankar Desarkar. "Time-to-Event Modeling with Hypernetwork based Hawkes Process." In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 3956-3965. 2023. (CORE A*)

[C-5] Manisha Dubey, Ragja Palakkadavath, and P. K. Srijith. "Event Uncertainty using Ensemble Neural Hawkes Process." In Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), pp. 228-232. 2023. 

[C-4] Rohan Tondulkar, Manisha Dubey, P. K. Srijith, and Michal Lukasik. "Hawkes Process Classification through Discriminative Modeling of Text." In 2022 International Joint Conference on Neural Networks (IJCNN) (CORE A)

[C-3] Manisha Dubey, P. K. Srijith, and Maunendra Sankar Desarkar. "Multi-view hypergraph convolution network for semantic annotation in LBSNs." In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2021.(CORE B)

[C-2] Manisha Dubey, P.K Srijith and Maunendra Sankar Desarkar, 2020. HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. In Proceedings of the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (CORE A)

[C-1] Rohan Tondulkar, Manisha Dubey and Maunendra Sankar Desarkar, 2018, September. Get me the best: predicting best answerers in community question answering sites. In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys) (pp. 251-259). ACM. (CORE A)

WORKSHOPS 

[W-2] Manisha Dubey, P.K. Srijith and Maunendra Sankar Desarkar, 2022. Continual Learning for Time-to-Event Modeling, In Continual Lifelong Learning Workshop at ACML 2022.

[W-1] Manisha Dubey, P.K Srijith and Maunendra Sankar Desarkar, 2020. Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. WiML, NeurIPS, 2020

BOOK CHAPTER

[B-1] Manisha Dubey, Book chapter accepted on “Revolutionizing Finance: GenAI Impact on FinTech Landscape”, CRC Press, Taylor and Francis Group, 2026

POSTER PRESENTED

[P-8] Manisha Dubey, Anirban Sarkar, Subramanian Ramamoorthy, A Minimal Model of Bounded Trade-Off Screening in Multi-Attribute Choice, Poster accepted at Annual Conference on Computational Cognitive Neuroscience, 2026 (accepted) 

[P-7] Manisha Dubey, Sebastiaan De Peuter, Wanrong Wang, Samuel Kaski, “Human-AI Collaborative Mixture-aware Many-Objective Bayesian Optimization, Poster presented in ELLIS Summer School on Collaborative Generative AI, FCAI/ELLIS 2024

[C-6] Vaibhav Shah, Manisha Dubey, Vishnuprasadh Kumaravelu, and P. K. Srijith. "Drift-aware Neural Hawkes Process for Time-to-Event Modelling." In 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024 

[P-5] Manisha Dubey, Ragja Palakkadavath, and P. K. Srijith. "Event Uncertainty using Ensemble Neural Hawkes Process." Poster presented in 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), pp. 228-232. 2023.

[P-4] Manisha Dubey, P.K. Srijith and Maunendra Sankar Desarkar, 2022. Continual Learning for Time-to-Event Modeling, Poster presented in Continual Lifelong Learning Workshop at ACML 2022.

[P-3] Rohan Tondulkar, Manisha Dubey, P. K. Srijith, and Michal Lukasik. "Hawkes Process Classification through Discriminative Modeling of Text." Poster presented in 2022 International Joint Conference on Neural Networks (IJCNN)

[P-2] Manisha Dubey, P.K Srijith and Maunendra Sankar Desarkar, 2020. HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. In Proceedings of the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 377-380).

[P-1] Manisha Dubey, P.K Srijith and Maunendra Sankar Desarkar, 2020. Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. Poster presented in WiML, NeurIPS, 2020