Exploring adverse effects of adaptive voice menu. - Siddhartha Asthana; Pushpendra Singh 001; Amarjeet Singh 001 (CHI Extended Abstracts, 2013)

Design and evaluation of adaptive interfaces for IVR systems. - Siddhartha Asthana; Pushpendra Singh 001; Amarjeet Singh 001 (CHI Extended Abstracts, 2013)

A usability study of adaptive interfaces for interactive voice response system. - Siddhartha Asthana; Pushpendra Singh 001; Amarjeet Singh 001 (ACM DEV (3), 2013)

Exploring the usability of interactive voice response system's design. - Siddhartha Asthana; Pushpendra Singh 001; Amarjeet Singh 001 (ACM DEV (3), 2013)

Assessing Designs of Interactive Voice Response Systems for Better Usability. - Siddhartha Asthana; Pushpendra Singh 001; Amarjeet Singh 001 (HCI (9), 2013)

MVoice: a mobile based generic ICT tool. - Siddhartha Asthana; Pushpendra Singh 001 (ICTD (2), 2013)

Airavat: an automated system to increase transparency and accountability in social welfare schemes in India. - Vivek Srinivasan; Vibhore Vardhan; Snigdha Kar; Siddhartha Asthana; Rajendran Narayanan; Pushpendra Singh 001; Dipanjan Chakraborty 002; Amarjeet Singh 001; Aaditeshwar Seth (ICTD (2), 2013)

MockTell: exploring challenges of user emulation in interactive voice response testing. - Siddhartha Asthana; Pushpendra Singh 001; Amarjeet Singh 001 (ICPE, 2013)

Survival Analysis: Objective assessment of Wait Time in HCI. - Siddhartha Asthana; Pushpendra Singh 001; Parul Gupta (CHI, 2015)

Data Driven Usability: A Case for Adaptive Interfaces in Voice Based Menu Systems. - Siddhartha Asthana; Pushpendra Singh 001 (CHINZ, 2015)

Maareech: Usability Testing Tool for Voice Response System Using XML Based User Models. - Siddhartha Asthana; Pushpendra Singh 001 (HCI (18), 2015)

Adaptive framework for data transmission over GSM voice channel for developing regions. - Siddhartha Asthana; Pushpendra Singh 001; Shraddha Jain (NTMS, 2015)

A Real-Time IVR Platform for Community Radio. - Konstantinos Kazakos; Siddhartha Asthana; Madeline Balaam; Mona Duggal; Amey Holden; Limalemla Jamir; Nanda Kishore Kannuri; Saurabh Kumar 002; Amarendar Reddy Manindla; Subhashini Arcot Manikam; G. V. S. Murthy; Papreen Nahar; et al. (CHI, 2016)

Deep Learning based Time Series Forecasting. - Kushagra Agarwal; Lalasa Dheekollu; Gaurav Dhama; Ankur Arora; Siddhartha Asthana; Tanmoy Bhowmik (ICMLA, 2020)

Pandemic spread prediction and healthcare preparedness through financial and mobility data. - Nidhi Mulay; Vikas Bishnoi; Himanshi Charotia; Siddhartha Asthana; Gaurav Dhama; Ankur Arora (ICMLA, 2020)

MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare. - Nitish Kumar; Deepak Chaurasiya; Alok Singh 008; Siddhartha Asthana; Kushagra Agarwal; Ankur Arora (FLAIRS, 2021)

CuRL: Coupled Representation Learning of Cards and Merchants to Detect Transaction Frauds. - Maitrey Gramopadhye; Shreyansh Singh; Kushagra Agarwal; Nitish Srivasatava; Alok Singh 008; Siddhartha Asthana; Ankur Arora (ICANN (5), 2021)

Modeling approaches for Silent Attrition prediction in Payment networks. - Lalasa Dheekollu; Hardik Wadhwa; Siddharth Vimal; Anubhav Gupta; Siddhartha Asthana; Ankur Arora; Smriti Gupta (ICMLA, 2021)

Temporal Debiasing using Adversarial Loss based GNN architecture for Crypto Fraud Detection. - Aditya Singh; Anubhav Gupta; Hardik Wadhwa; Siddhartha Asthana; Ankur Arora (ICMLA, 2021)

Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data. - Ankur Debnath; Nitish Gupta; Govind Waghmare; Hardik Wadhwa; Siddhartha Asthana; Ankur Arora (PKDD/ECML Workshops (1), 2021)

Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes. - Govind Waghmare; Ankur Debnath; Siddhartha Asthana; Aakarsh Malhotra (CIKM, 2022)

Learning Temporal Representations of Bipartite Financial Graphs. - Pritam Kumar Nath; Govind Waghmare; Nikhil Tumbde; Nitish Kumar; Siddhartha Asthana (ICAIF, 2023)

INFRANET: Forecasting intermittent time series using DeepNet with parameterized conditional demand and size distribution. - Diksha Shrivastava; Sarthak Pujari; Yatin Katyal; Siddhartha Asthana; Chandrudu K; Aakashdeep Singh (ICDM (Workshops), 2023)

Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data. - Akshay Sethi; Sonia Gupta; Ayush Agarwal; Nancy Agrawal; Siddhartha Asthana (IJCNN, 2023)

BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning. - Pranav Poduval; Gaurav Oberoi; Sangam Verma; Ayush Agarwal; Karamjit Singh; Siddhartha Asthana (ECML/PKDD (4), 2023)

Learning Representations for Bipartite Graphs Using Multi-task Self-supervised Learning. - Akshay Sethi; Sonia Gupta; Aakarsh Malhotra; Siddhartha Asthana (ECML/PKDD (3), 2023)

HeteroFormer: A Structure Aware Heterogeneous Graph Transformer. - Himil Vasava; Himank Sehgal; Sonia Gupta; Siddhartha Asthana (BDA (Astronomy, Science, and Engineering), 2024)

SGD-MLP: Structure Generation and Distillation using a graph free MLP. - Sanjay Kumar Patnala; Sumedh B. G; Akshay Sethi; Sonia Gupta; Siddhartha Asthana (COMAD/CODS, 2024)

A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation. - Vennela Yarabolu; Govind Waghmare; Sonia Gupta; Siddhartha Asthana (COMAD/CODS (December), 2024)

CASH via Optimal Diversity for Ensemble Learning. - Pranav Poduval; Sanjay Kumar Patnala; Gaurav Oberoi; Nitish Srivasatava; Siddhartha Asthana (KDD, 2024)

MEGA: Multi-encoder GNN Architecture for Stronger Task Collaboration and Generalization. - Faraz Khoshbakhtian; Gaurav Oberoi; Dionne M. Aleman; Siddhartha Asthana (ECML/PKDD (7), 2024)