Mudra: a multimodal interface for braille teaching. - Aman Srivastava; Sanskriti Dawle (AH, 2015)

Topic Modeling Driven Content Based Jobs Recommendation Engine for Recruitment Industry. - Shivam Bansal; Aman Srivastava; Anuja Arora (ITQM, 2017)

Exploring the importance of context and embeddings in neural NER models for task-oriented dialogue systems. - Pratik Jayarao; Chirag Jain; Aman Srivastava (ICON, 2018)

Intent Detection for code-mix utterances in task oriented dialogue systems. - Pratik Jayarao; Aman Srivastava (CoRR, 2018)

Abusive supervision and knowledge hiding: the mediating role of psychological contract violation and supervisor directed aggression. - Sajeet Pradhan; Aman Srivastava; Dharmesh K. Mishra (J. Knowl. Manag., 2020)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

LADEN: Lesion-Aware Adversarial Deep Network for Grading of Macular Diseases Using Color Fundus Images. - Ravi Kamble; Aman Srivastava; Nitin Singhal (ISBI, 2022)

Ransomware Detection based on Network Behavior using Machine Learning and Hidden Markov Model with Gaussian Emission. - Aman Srivastava; Nitesh Kumar; Anand Handa; Sandeep K. Shukla (CSR, 2023)

TransEM-Net: Transformer Based Efficient Multi-Magnification Network for Histopathology. - Geetank Raipuria; Aman Srivastava; Nitin Singhal (ISBI, 2023)

The second data release from the European Pulsar Timing Array III. Search for gravitational wave signals. - John Antoniadis; P. Arumugam; Swetha Arumugam; Stanislav Babak; Manjari Bagchi; A.-S. Bak Nielsen; Cees G. Bassa; Adarsh Bathula; A. Berthereau; Matteo Bonetti; E. Bortolas; Paul R. Brook; et al. (Zenodo, 2023)

The second data release from the European Pulsar Timing Array II. Customised pulsar noise models for spatially correlated gravitational waves. - John Antoniadis; P. Arumugam; Swetha Arumugam; Stanislav Babak; Manjari Bagchi; A.-S. Bak Nielsen; Cees G. Bassa; Adarsh Bathula; A. Berthereau; Matteo Bonetti; E. Bortolas; Paul R. Brook; et al. (Zenodo, 2023)

Modeling climate change impacts on vector-borne disease using machine learning models: Case study of Visceral leishmaniasis (Kala-azar) from Indian state of Bihar. - Shubham Kumar; Aman Srivastava; Rajib Maity (Expert Syst. Appl., 2024)