EEG-based classification of bilingual unspoken speech using ANN. - Advait Balaji; Aparajita Haldar; Keshav Patil; Sai Ruthvik Thandayam; C. A. Valliappan; Mayur Jartarkar; Veeky Baths (EMBC, 2017)

Multimodal transit scheduler: An actor-based concurrent approach. - Prasad Talasila; Aparajita Haldar; Suhas S. Pai; Neena Goveas; Bharat M. Deshpande (ITSC, 2017)

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. - Adam Poliak; Aparajita Haldar; Rachel Rudinger; J. Edward Hu; Ellie Pavlick; Aaron Steven White; Benjamin Van Durme (BlackboxNLP@EMNLP, 2018)

Hypothesis Only Baselines in Natural Language Inference. - Adam Poliak; Jason Naradowsky; Aparajita Haldar; Rachel Rudinger; Benjamin Van Durme (*SEM@NAACL-HLT, 2018)

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. - Adam Poliak; Aparajita Haldar; Rachel Rudinger; J. Edward Hu; Ellie Pavlick; Aaron Steven White; Benjamin Van Durme (CoRR, 2018)

Characterizing the impact of geometric properties of word embeddings on task performance. - Brendan Whitaker; Denis Newman-Griffis; Aparajita Haldar; Hakan Ferhatosmanoglu; Eric Fosler-Lussier (CoRR, 2019)

Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration. - Vishwash Batra; Aparajita Haldar; Yulan He 001; Hakan Ferhatosmanoglu; George Vogiatzis; Tanaya Guha (ECIR (1), 2020)

An Axiomatic Role Similarity Measure Based on Graph Topology. - Weiren Yu; Sima Iranmanesh; Aparajita Haldar; Maoyin Zhang; Hakan Ferhatosmanoglu (SFDI/LSGDA@VLDB, 2020)

RAGUEL: Recourse-Aware Group Unfairness Elimination. - Aparajita Haldar; Teddy Cunningham; Hakan Ferhatosmanoglu (CIKM, 2022)

Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications. - Aparajita Haldar; Shuang Wang 005; Gunduz Vehbi Demirci; Joe Oakley 001; Hakan Ferhatosmanoglu (CoRR, 2022)

Scalable Graph Convolutional Network Training on Distributed-Memory Systems. - Gunduz Vehbi Demirci; Aparajita Haldar; Hakan Ferhatosmanoglu (Proc. VLDB Endow., 2022)

RoleSim*: Scaling axiomatic role-based similarity ranking on large graphs. - Weiren Yu; Sima Iranmanesh; Aparajita Haldar; Maoyin Zhang; Hakan Ferhatosmanoglu (World Wide Web, 2022)

Hypergraph-based optimisations for scalable graph analytics and learning. - Aparajita Haldar (2022)

Temporal Cascade Model for Analyzing Spread in Evolving Networks. - Aparajita Haldar; Shuang Wang 005; Gunduz Vehbi Demirci; Joe Oakley 001; Hakan Ferhatosmanoglu (ACM Trans. Spatial Algorithms Syst., 2023)

D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks. - Rustam Guliyev; Aparajita Haldar; Hakan Ferhatosmanoglu (Proc. VLDB Endow., 2024)

X2Graph for Cancer Subtyping Prediction on Biological Tabular Data. - Tu Bui; Mohamed Suliman 003; Aparajita Haldar; Mohammed Amer; Serban Georgescu (CoRR, 2025)