Jose Mathew

According to our database, Jose Mathew authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Utilizing DevNet with Variational Loss for Fraud Detection in Hyperlocal Food Delivery.

Piyush Nikam, Rutvik Vijjali, Shaik Masihullah, Meghana Negi, Jose Mathew

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Improving search relevance in a hyperlocal food delivery using language models.

Aditya Kiran Brahma, Srinivas Nagamalla, Jose Mathew, Jairaj Sathyanarayana

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling.

Akash Deep, Sri Charan Kattamuru, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022

A Multi-modal Approach to Mining Intent from Code-Mixed Hindi-English Calls in the Hyperlocal-Delivery Domain.

Jose Mathew, Pranjal Sahu, Bhavuk Singhal, Aniket Joshi, Krishna Reddy Medikonda, Jairaj Sathyanarayana

Proceedings of the Speech and Computer - 24th International Conference, 2022

Mining Entry Gates for Points of Interest.

Tanya Khanna, Abhinav Ganesan, Jose Mathew, Kranthi Mitra Adusimilli

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Identifying Fraud Rings Using Domain Aware Weighted Community Detection.

Shaik Masihullah, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana

Proceedings of the Machine Learning and Knowledge Extraction, 2022

Address Location Correction System for Q-commerce.

Yaswanth Reddy, Sumanth Sadu, Abhinav Ganesan, Jose Mathew

Proceedings of the Second International Conference on AI-ML Systems, 2022

2021

DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery.

Jose Mathew, Meghana Negi, Rutvik Vijjali, Jairaj Sathyanarayana

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Mining points of interest via address embeddings: an unsupervised approach.

Abhinav Ganesan, Anubhav Gupta, Jose Mathew

Proceedings of the LocalRec '21: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, 2021

2020

An Optimization Framework for On-Demand Meal Delivery System.

Siddhartha Paul, Sunil Rathee, Jose Mathew, Kranthi Mitra Adusumilli

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

Customer Experience Driven Assignment Logic for Online Food Delivery.

Krishna Kumar Kottakki, Sunil Rathee, Kranthi Mitra Adusumilli, Jose Mathew, Bharath Nayak, Saket Ahuja

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020