Ravindra Babu Tallamraju

Affiliations:
  • Sahaj.AI, Bangalore, India
  • Myntra Designs Pvt. Ltd., Bangalore, India
  • Flipkart Internet Pvt. Ltd., Bangalore, India
  • Infosys Technologies Limited, Bangalore, India
  • Indian Space Research Organization (ISRO), Satellite Centre, Bangalore, India
  • Indian Institute of Science (IISc), Department of Computer Science and Automation, Bangalore, India (PhD)


According to our database1, Ravindra Babu Tallamraju authored at least 26 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Enhancing Anomaly Detection in Noisy Images: Unleashing the Power of Attention-Aware PDE Constraint Feature Denoiser Module.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Joint Price Optimization Across a Portfolio of Fashion E-Commerce Products.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022
Geographical Address Models in the Indian e-Commerce.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
A Game Theoretic Algorithm for Elite Customer Identification in Online Fashion E-Commerce.
CoRR, 2021

Online Fashion Commerce: Modelling Customer Promise Date.
CoRR, 2021

2020
Being (more) Human in a Digitized World.
Inf. Syst. Frontiers, 2020

Deep Contextual Embeddings for Address Classification in E-commerce.
CoRR, 2020

An Application of Newsboy Problem in Supply Chain Optimisation of Online Fashion E-Commerce.
CoRR, 2020

2018
Noise-aware Missing Shipment Return Comment Classification in e-Commerce.
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

Address Clustering for e-Commerce Applications.
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

2017
Address Fraud: Monkey Typed Address Classification for e-Commerce Applications.
Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2015
Geographical address classification without using geolocation coordinates.
Proceedings of the 9th Workshop on Geographic Information Retrieval, 2015

2014
Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs.
Knowl. Inf. Syst., 2014

2013
Compression Schemes for Mining Large Datasets - A Machine Learning Perspective
Advances in Computer Vision and Pattern Recognition, Springer, ISBN: 978-1-4471-5606-2, 2013

2012
Efficient algorithms for linear summed error structural SVMs.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Modified Adaboost method for efficient face detection.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

Robust face recognition with illumination normalization using a reference profile.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

2011
Optimal skin detection for face localization using genetic algorithms.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

2010
Multiagent Based Large Data Clustering Scheme for Data Mining Applications.
Proceedings of the Active Media Technology, 6th International Conference, 2010

2009
Multiagent Systems for Large Data Clustering.
Proceedings of the Data Mining and Multi-agent Integration, 2009

2007
Classification of run-length encoded binary data.
Pattern Recognit., 2007

2005
On Simultaneous Selection of Prototypes and Features in Large Data.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

2004
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

Hybrid Learning Scheme for Data Mining Applications.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

2001
Comparison of genetic algorithm based prototype selection schemes.
Pattern Recognit., 2001


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