403 citations · 936 across the 29 of their papers we have counts for
8 papers · 1 filter
E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
Madhurima Panja, Tanujit Chakraborty, Anubhab Biswas +1
Modeling and forecasting air quality is crucial for effective air pollution management and protecting public health. Air quality data, characterized by nonlinearity, nonstationarit…
A Compounded Burr Probability Distribution for Fitting Heavy-Tailed Data with Applications to Biological Networks
Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das +2
Complex biological networks, encompassing metabolic pathways, gene regulatory systems, and protein-protein interaction networks, often exhibit scale-free structures characterized b…
Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention
Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra +3
Spatiotemporal forecasting of traffic flow data represents a typical problem in the field of machine learning, impacting urban traffic management systems. In general, spatiotempora…
Footprints of Data in a Classifier: Understanding the Privacy Risks and Solution Strategies
Payel Sadhukhan, Tanujit Chakraborty
The widespread deployment of Artificial Intelligence (AI) across government and private industries brings both advancements and heightened privacy and security concerns. Article 17…
WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data
Jintu Borah, Tanujit Chakraborty, Md. Shahrul Md. Nadzir +2
Accurate and reliable air quality forecasting is essential for protecting public health, sustainable development, pollution control, and enhanced urban planning. This letter presen…
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission
Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty +5
Survival analysis is essential for studying time-to-event outcomes and providing a dynamic understanding of the probability of an event occurring over time. Various survival analys…
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
Abdenour Hadid, Tanujit Chakraborty, Daniel Busby
Generative Artificial Intelligence (GAI) represents an emerging field that promises the creation of synthetic data and outputs in different modalities. GAI has recently shown impre…
Forecasting CPI inflation under economic policy and geopolitical uncertainties
Shovon Sengupta, Tanujit Chakraborty, Sunny Kumar Singh
Forecasting consumer price index (CPI) inflation is of paramount importance for both academics and policymakers at the central banks. This study introduces a filtered ensemble wave…