Amit Agarwal

Orcid: 0000-0002-4173-8971

Affiliations:
  • Wells Fargo India, Bengaluru, India
  • Indian Institute of Technology Roorkee, Department of CSE, India (former)


According to our database1, Amit Agarwal authored at least 11 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
TLDR: Traffic Light Detection using Fourier Domain Adaptation in Hostile WeatheR.
CoRR, 2024

Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions.
CoRR, 2024

Unveiling themes in judicial proceedings: A cross-country study using topic modeling on legal documents from India and the UK.
Proceedings of the Joint Ontology Workshops (JOWO), 2024

2021
Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

IRLCov19: A Large COVID-19 Multilingual Twitter Dataset of Indian Regional Languages.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Recommendation Engines: Traditional vs Deep Learning Approaches.
Proceedings of the 6th International Conference on Computing, Communication and Security, 2021

2019
SmPFT: Social media based profile fusion technique for data enrichment.
Comput. Networks, 2019

Face off: Travel Habits, Road Conditions and Traffic City Characteristics Bared Using Twitter.
IEEE Access, 2019

Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex.
CoRR, 2018

2015
Construction of a Semi-Automated model for FAQ Retrieval via Short Message Service.
Proceedings of the 7th Forum for Information Retrieval Evaluation, 2015


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