Chandresh Maurya

According to our database, Chandresh Maurya authored at least 28 papers between 2015 and 2025.

Collaborative distances:

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

2025

Benchmarking Hindi-to-English direct speech-to-speech translation with synthetic data.

Mahendra Gupta, Maitreyee Dutta, Chandresh Kumar Maurya

Lang. Resour. Evaluation, September, 2025

Improving Bird Classification with Primary Color Additives.

Ezhini Rasendiran R, Chandresh Kumar Maurya

CoRR, July, 2025

Indic-ST: A Large-Scale Multilingual Corpus for Low-Resource Speech-to-Text Translation.

Nivedita Sethiya, Saanvi Nair, Puneet Walia, Chandresh Maurya

ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2025

HiProIBM: unsupervised continual learning through hierarchical prototypical cross-level discrimination along with information bottleneck subnetwork masking.

Ankit Malviya, Chandresh Kumar Maurya

Appl. Intell., April, 2025

Unsupervised continual learning by cross-level, instance-group and pseudo-group discrimination with hard attention.

Ankit Malviya, Sayak Dhole, Chandresh Kumar Maurya

J. Comput. Sci., 2025

End-to-End Speech-to-Text Translation: A Survey.

Nivedita Sethiya, Chandresh Kumar Maurya

Comput. Speech Lang., 2025

Benchmark Creation for Aspect-Based Sentiment Analysis in Low-Resource Odia Language and Evaluation through Fine-Tuning of Multilingual Models.

Lipika Dewangan, Zoyah Afsheen Sayeed, Chandresh Maurya

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Direct Speech-to-Speech Neural Machine Translation: A Survey.

Mahendra Gupta, Maitreyee Dutta, Chandresh Kumar Maurya

CoRR, 2024

Findings of the IWSLT 2024 Evaluation Campaign.

Ibrahim Said Ahmad, Antonios Anastasopoulos, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, William Chen, Qianqian Dong, Marcello Federico, Barry Haddow, Dávid Javorský, Mateusz Krubinski, Tsz Kin Lam, Xutai Ma, Prashant Mathur, Evgeny Matusov, Chandresh Maurya, John P. McCrae, Kenton Murray, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Sara Papi, Peter Polák, Adam Pospísil, Pavel Pecina, Elizabeth Salesky, Nivedita Sethiya, Balaram Sarkar, Jiatong Shi, Claytone Sikasote, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Brian Thompson, Marco Turchi, Alex Waibel, Shinji Watanabe, Patrick Wilken, Petr Zemánek, Rodolfo Zevallos

CoRR, 2024

Unsupervised Continual Learning Using Cross-Level Discrimination and Evidential Pseudo Out-of-Distribution Detection Along With Gradient Projected Hard Attention.

Ankit Malviya, Chandresh Kumar Maurya

IEEE Access, 2024

Cross-Lingual Summarization of Speech-to-Speech Translation: A Baseline.

Pranav Karande, Balaram Sarkar, Chandresh Kumar Maurya

Proceedings of the Speech and Computer - 26th International Conference, 2024

Indic-TEDST: Datasets and Baselines for Low-Resource Speech to Text Translation.

Nivedita Sethiya, Saanvi Nair, Chandresh Kumar Maurya

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Direct Speech to Text Translation: Bridging the Modality Gap Using SimSiam.

Balaram Sarkar, Chandresh Kumar Maurya, Anshuman Agrahri

Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), 2023

2022

Deep Learning Architecture for Automatic Essay Scoring.

Tsegaye Misikir Tashu, Chandresh Kumar Maurya, Tomás Horváth

CoRR, 2022

Anomaly Detection in Big Data.

Chandresh Kumar Maurya

CoRR, 2022

How Effective is Incongruity? Implications for Code-mix Sarcasm Detection.

Aditya Shah, Chandresh Kumar Maurya

CoRR, 2022

An Intelligent Recommendation-cum-Reminder System.

Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya, Shitala Prasad

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

Distributed Sparse Class-Imbalance Learning and Its Applications.

Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao

IEEE Trans. Big Data, 2021

Digital Contact Tracing for Covid 19.

Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre

CoRR, 2021

FiLMing Multimodal Sarcasm Detection with Attention.

Sundesh Gupta, Aditya Shah, Miten Shah, Laribok Syiemlieh, Chandresh Maurya

Proceedings of the Neural Information Processing - 28th International Conference, 2021

How effective is incongruity? Implications for code-mixed sarcasm detection.

Aditya Shah, Chandresh Maurya

Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), National Institute of Technology Silchar, Silchar, India, December 16, 2021

Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation.

Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre

Proceedings of the Big Data Analytics - 9th International Conference, 2021

2020

Online Similarity Learning with Feedback for Invoice Line Item Matching.

Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu, Tomás Horváth

CoRR, 2020

2019

Creative tagline generation framework for product advertisement.

Anupama Ray, P. Agarwal, Chandresh Kumar Maurya, Gargi Dasgupta

IBM J. Res. Dev., 2019

2018

Large-Scale Distributed Sparse Class-Imbalance Learning.

Chandresh Kumar Maurya, Durga Toshniwal

Inf. Sci., 2018

Prediction of Invoice Payment Status in Account Payable Business Process.

Tarun Tater, Sampath Dechu, Senthil Mani, Chandresh Kumar Maurya

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2016

Online sparse class imbalance learning on big data.

Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao

Neurocomputing, 2016

2015

Online anomaly detection via class-imbalance learning.

Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao

Proceedings of the Eighth International Conference on Contemporary Computing, 2015