Publications

Tarun Tater, Sampath Dechu, Senthil Mani, Chandresh Maurya (2022). Prediction of Late Payment of Invoices in Account Payable Business Process.

Aditya Shah, Chandresh Kumar Maurya (2022). How Effective is Incongruity? Implications for Code-mix Sarcasm Detection. arXiv preprint arXiv:2202.02702.

Chandresh Kumar Maurya (2022). Anomaly Detection in Big Data. arXiv preprint arXiv:2203.01684.

Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya, Shitala Prasad (2022). An Intelligent Recommendation-cum-Reminder System. 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD).

Nikhil Malhotra, Chandresh Kumar Maurya, Anupama Ray (2021). Approach for automatically adjusting display screen setting based on machine learning.

Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre (2021). Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation. International Conference on Big Data Analytics.

Sundesh Gupta, Aditya Shah, Miten Shah, Laribok Syiemlieh, Chandresh Maurya (2021). FiLMing Multimodal Sarcasm Detection with Attention. International Conference on Neural Information Processing.

Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre (2021). Digital Contact Tracing for Covid 19. arXiv preprint arXiv:2105.15030.

Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu, Tomas Horvath (2020). Online similarity learning with feedback for invoice line item matching. arXiv preprint arXiv:2001.00288.

Anupama Ray, Prerna Agarwal, Chandresh K Maurya, Gargi B Dasgupta (2019). Creative tagline generation framework for product advertisement. IBM Journal of Research and Development.

Tarun Tater, Sampath Dechu, Senthil Mani, Chandresh Maurya (2018). Prediction of invoice payment status in account payable business process. International Conference on Service-Oriented Computing.

Chandresh Kumar Maurya, Durga Toshniwal (2018). Large-scale distributed sparse class-imbalance learning. Information Sciences.

Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Venkoparao (2017). Distributed Sparse Class-Imbalance Learning and its Applications. IEEE Transactions on Big Data.

Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao (2016). Online sparse class imbalance learning on big data. Neurocomputing.

Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao (2015). Online anomaly detection via class-imbalance learning. 2015 Eighth International Conference on Contemporary Computing (IC3).

Chandresh Kumar Maurya, Durga Toshniwal (2014). Anomaly detection in nuclear power plant data using support vector data description. Proceedings of the 2014 IEEE Students’ Technology Symposium.

Chandresh Kumar Maurya, Sonajharia Minz (2012). Fuzzy inference system for Internet traffic load forecasting. Computing and Communication Systems (NCCCS), 2012 National Conference on.