Karamjit Singh

According to our database1, Karamjit Singh authored at least 24 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022
FLiB: Fair Link Prediction in Bipartite Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Temporal Graph Learning for Financial World: Algorithms, Scalability, Explainability & Fairness.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CaPE: Category Preserving Embeddings for Similarity-Search in Financial Graphs.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
Semi-supervised Learning for Marked Temporal Point Processes.
CoRR, 2021

Deviation-Based Marked Temporal Point Process for Marker Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Table Structure Recognition Using CoDec Encoder-Decoder.
Proceedings of the Document Analysis and Recognition, 2021

TeGraF: temporal and graph based fraudulent transaction detection framework.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

MoDest: Multi-module Design Validation for Documents.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Label-Value Extraction from Documents Using Co-SSL Framework.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2018
CIKM AnalytiCup 2017 Lazada Product Title Quality Challenge An Ensemble of Deep and Shallow Learning to predict the Quality of Product Titles.
CoRR, 2018

Comparative benchmarking of causal discovery algorithms.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017
Crop Planning using Stochastic Visual Optimization.
CoRR, 2017

Comparative Benchmarking of Causal Discovery Techniques.
CoRR, 2017

Deep Convolutional Neural Networks for Pairwise Causality.
CoRR, 2017

Minimally-Supervised Attribute Fusion for Data Lakes.
CoRR, 2017

Automated Product-Attribute Mapping.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Visual Statistical Analysis of Environmental Sensor Data.
Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

2016
Visual Bayesian fusion to navigate a data lake.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Group-Based Pricing to Shape Demand in Real-Time Electricity Markets.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2015

Predictive reliability mining for early warnings in populations of connected machines.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Warranty Cost Estimation Using Bayesian Network.
CoRR, 2014

Prescriptive information fusion.
Proceedings of the 17th International Conference on Information Fusion, 2014


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