Karamjit Singh

24 papers A* 1A 1B 1C 3Journal 7Unranked 11

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning. ECML/PKDD (4) Pranav Poduval, Gaurav Oberoi, Sangam Verma, Ayush Agarwal, Karamjit Singh, Siddhartha Asthana
2022	—	`conf`	CaPE: Category Preserving Embeddings for Similarity-Search in Financial Graphs. ICAIF Gaurav Oberoi, Pranav Poduval, Karamjit Singh, Sangam Verma, Pranay Gupta
2022	—	`conf`	FLiB: Fair Link Prediction in Bipartite Network. PAKDD (2) Piyush Kansal, Nitish Kumar, Sangam Verma, Karamjit Singh, Pranav Pouduval
2022	A*	`conf`	Temporal Graph Learning for Financial World: Algorithms, Scalability, Explainability & Fairness. KDD Nitendra Rajput, Karamjit Singh
2021	—	`conf`	Deviation-Based Marked Temporal Point Process for Marker Prediction. ECML/PKDD (1) Anand Vir Singh Chauhan, Shivshankar Reddy, Maneet Singh, Karamjit Singh, Tanmoy Bhowmik
2021	C	`conf`	Label-Value Extraction from Documents Using Co-SSL Framework. ADMA Sai Abhishek Sara, Maneet Singh, Bhanupriya Pegu, Karamjit Singh
2021	A	`conf`	MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. CIKM Srikanta Bedathur, Tanmoy Bhowmik, Nitendra Rajput, Karamjit Singh, Maneet Singh
2021	—	`conf`	MoDest: Multi-module Design Validation for Documents. COMAD/CODS Bhanupriya Pegu, Maneet Singh, Kamal Kant, Karamjit Singh, Tanmoy Bhowmik
2021	J	`jnl`	Semi-supervised Learning for Marked Temporal Point Processes. CoRR Shivshankar Reddy, Anand Vir Singh Chauhan, Maneet Singh, Karamjit Singh
2021	—	`conf`	Table Structure Recognition Using CoDec Encoder-Decoder. ICDAR Workshops (2) Bhanupriya Pegu, Maneet Singh, Aakash Agarwal, Aniruddha Mitra, Karamjit Singh
2021	—	`conf`	TeGraF: temporal and graph based fraudulent transaction detection framework. ICAIF Shivshankar Reddy, Pranav Poduval, Anand Vir Singh Chauhan, Maneet Singh, Sangam Verma, Karamjit Singh, Tanmoy Bhowmik
2018	J	`jnl`	CIKM AnalytiCup 2017 Lazada Product Title Quality Challenge An Ensemble of Deep and Shallow Learning to predict the Quality of Product Titles. CoRR Karamjit Singh, Vishal Sunder
2018	—	`conf`	Comparative benchmarking of causal discovery algorithms. COMAD/CODS Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff
2017	—	`conf`	Automated Product-Attribute Mapping. PAKDD (Workshops) Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
2017	J	`jnl`	Comparative Benchmarking of Causal Discovery Techniques. CoRR Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff
2017	J	`jnl`	Crop Planning using Stochastic Visual Optimization. CoRR Gunjan Sehgal, Bindu Gupta, Kaushal Paneri, Karamjit Singh, Geetika Sharma, Gautam Shroff
2017	J	`jnl`	Deep Convolutional Neural Networks for Pairwise Causality. CoRR Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
2017	J	`jnl`	Minimally-Supervised Attribute Fusion for Data Lakes. CoRR Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
2017	—	`conf`	Visual Statistical Analysis of Environmental Sensor Data. VAST Bindu Gupta, Kaushal Paneri, Gunjan Sehgal, Karamjit Singh, Geetika Sharma, Gautam Shroff
2016	C	`conf`	Visual Bayesian fusion to navigate a data lake. FUSION Karamjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, Gautam Shroff
2015	—	`conf`	Group-Based Pricing to Shape Demand in Real-Time Electricity Markets. EUMAS/AT Rahul Agrawal, Anirban Chakraborti, Karamjit Singh, Gautam Shroff, Venkatesh Sarangan
2015	B	`conf`	Predictive reliability mining for early warnings in populations of connected machines. DSAA Karamjit Singh, Gautam Shroff, Puneet Agarwal
2014	C	`conf`	Prescriptive information fusion. FUSION Gautam Shroff, Puneet Agarwal, Karamjit Singh, Auon Haidar Kazmi, Sapan Shah, Avadhut Sardeshmukh
2014	J	`jnl`	Warranty Cost Estimation Using Bayesian Network. CoRR Karamjit Singh, Puneet Agarwal, Gautam Shroff