Karamjit Singh

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