Prescriptive information fusion. - Gautam Shroff; Puneet Agarwal; Karamjit Singh; Auon Haidar Kazmi; Sapan Shah; Avadhut Sardeshmukh (FUSION, 2014)

Warranty Cost Estimation Using Bayesian Network. - Karamjit Singh; Puneet Agarwal; Gautam Shroff (CoRR, 2014)

Predictive reliability mining for early warnings in populations of connected machines. - Karamjit Singh; Gautam Shroff; Puneet Agarwal (DSAA, 2015)

Group-Based Pricing to Shape Demand in Real-Time Electricity Markets. - Rahul Agrawal; Anirban Chakraborti; Karamjit Singh; Gautam Shroff; Venkatesh Sarangan (EUMAS/AT, 2015)

Visual Bayesian fusion to navigate a data lake. - Karamjit Singh; Kaushal Paneri; Aditeya Pandey; Garima Gupta; Geetika Sharma; Puneet Agarwal; Gautam Shroff (FUSION, 2016)

Visual Statistical Analysis of Environmental Sensor Data. - Bindu Gupta; Kaushal Paneri; Gunjan Sehgal; Karamjit Singh; Geetika Sharma; Gautam Shroff (VAST, 2017)

Automated Product-Attribute Mapping. - Karamjit Singh; Garima Gupta; Gautam Shroff; Puneet Agarwal (PAKDD (Workshops), 2017)

Minimally-Supervised Attribute Fusion for Data Lakes. - Karamjit Singh; Garima Gupta; Gautam Shroff; Puneet Agarwal (CoRR, 2017)

Deep Convolutional Neural Networks for Pairwise Causality. - Karamjit Singh; Garima Gupta; Lovekesh Vig; Gautam Shroff; Puneet Agarwal (CoRR, 2017)

Comparative Benchmarking of Causal Discovery Techniques. - Karamjit Singh; Garima Gupta; Vartika Tewari; Gautam Shroff (CoRR, 2017)

Crop Planning using Stochastic Visual Optimization. - Gunjan Sehgal; Bindu Gupta; Kaushal Paneri; Karamjit Singh; Geetika Sharma; Gautam Shroff (CoRR, 2017)

Comparative benchmarking of causal discovery algorithms. - Karamjit Singh; Garima Gupta; Vartika Tewari; Gautam Shroff (COMAD/CODS, 2018)

CIKM AnalytiCup 2017 Lazada Product Title Quality Challenge An Ensemble of Deep and Shallow Learning to predict the Quality of Product Titles. - Karamjit Singh; Vishal Sunder (CoRR, 2018)

Label-Value Extraction from Documents Using Co-SSL Framework. - Sai Abhishek Sara; Maneet Singh; Bhanupriya Pegu; Karamjit Singh (ADMA, 2021)

MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. - Srikanta Bedathur; Tanmoy Bhowmik; Nitendra Rajput; Karamjit Singh; Maneet Singh (CIKM, 2021)

MoDest: Multi-module Design Validation for Documents. - Bhanupriya Pegu; Maneet Singh; Kamal Kant; Karamjit Singh; Tanmoy Bhowmik (COMAD/CODS, 2021)

TeGraF: temporal and graph based fraudulent transaction detection framework. - Shivshankar Reddy; Pranav Poduval; Anand Vir Singh Chauhan; Maneet Singh; Sangam Verma; Karamjit Singh; Tanmoy Bhowmik (ICAIF, 2021)

Table Structure Recognition Using CoDec Encoder-Decoder. - Bhanupriya Pegu; Maneet Singh; Aakash Agarwal; Aniruddha Mitra; Karamjit Singh (ICDAR Workshops (2), 2021)

Deviation-Based Marked Temporal Point Process for Marker Prediction. - Anand Vir Singh Chauhan; Shivshankar Reddy; Maneet Singh; Karamjit Singh; Tanmoy Bhowmik (ECML/PKDD (1), 2021)

Semi-supervised Learning for Marked Temporal Point Processes. - Shivshankar Reddy; Anand Vir Singh Chauhan; Maneet Singh; Karamjit Singh (CoRR, 2021)

CaPE: Category Preserving Embeddings for Similarity-Search in Financial Graphs. - Gaurav Oberoi; Pranav Poduval; Karamjit Singh; Sangam Verma; Pranay Gupta (ICAIF, 2022)

Temporal Graph Learning for Financial World: Algorithms, Scalability, Explainability & Fairness. - Nitendra Rajput; Karamjit Singh (KDD, 2022)

FLiB: Fair Link Prediction in Bipartite Network. - Piyush Kansal; Nitish Kumar; Sangam Verma; Karamjit Singh; Pranav Pouduval (PAKDD (2), 2022)

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)