168 citations · 261 across the 14 of their papers we have counts for
15 papers
Beyond Point Forecasts: A Survey on Probabilistic Forecasting for Time Series and Spatiotemporal Data
Donia Besher, Rajdeep Pathak, Madhurima Panja +1
Probabilistic forecasting is central to decision-making under uncertainty, yet its methodological landscape has become increasingly fragmented across temporal and spatiotemporal fo…
TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting
Inesh Shukla, Madhurima Panja, Tanujit Chakraborty +1
Accurate multi-week dengue forecasting supports timely vector-control interventions, outbreak preparedness, and healthcare resource allocation. However, newly established surveilla…
EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting
Madhurima Panja, Danny D'Agostino, Huitao Li +2
The increasing adoption of data-driven decision-making in public health has established epidemic forecasting as a critical area of research. Recent advances in multivariate forecas…
GraphSVR: A Graph Convolutional Support Vector Regression Framework for Robust Spatiotemporal Air Pollution Forecasting
Nourin Jahan, Muhammed Navas T, Tanujit Chakraborty +1
Urban air quality forecasting is challenging because pollutant concentrations are nonlinear, nonstationary, spatiotemporally dependent, and often affected by anomalous observations…
Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series
Madhurima Panja, Grace Younes, Tanujit Chakraborty
Chaotic time series are notoriously difficult to forecast. Small uncertainties in initial conditions amplify rapidly, while strong nonlinearities and regime dependent variability c…
Deep Generative Transformers for Probabilistic Time Series and Spatiotemporal Forecasting
Rajdeep Pathak, Rahul Goswami, Madhurima Panja +2
Reliable uncertainty quantification is paramount for forecasting multivariate time series and spatiotemporal data. While Transformer architectures excel at sequence modeling, curre…
Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers
Madhurima Panja, Dhiman Das, Tanujit Chakraborty +6
Understanding and forecasting precipitation events in the Arctic maritime environments, such as Bear Island and Ny-Ålesund, is crucial for assessing climate risk and developing ear…
Neural ARFIMA model for forecasting BRIC exchange rates with long memory
Donia Besher, Madhurima Panja, Shovon Sengupta +1
Exchange rate forecasting remains a challenging problem, particularly for emerging economies, where the observed time series exhibit pronounced long-memory dependence, nonlinear dy…
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak
Madhab Barman, Madhurima Panja, Nachiketa Mishra +1
Tuberculosis (TB) remains a formidable global health challenge, driven by complex spatiotemporal transmission dynamics and influenced by factors such as population mobility and beh…
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…
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…
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Tanujit Chakraborty, Ujjwal Reddy K S, Shraddha M. Naik +2
Since their inception in 2014, Generative Adversarial Networks (GANs) have rapidly emerged as powerful tools for generating realistic and diverse data across various domains, inclu…
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
Madhurima Panja, Tanujit Chakraborty, Sk Shahid Nadim +3
Dengue fever is a virulent disease spreading over 100 tropical and subtropical countries in Africa, the Americas, and Asia. This arboviral disease affects around 400 million people…
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar +1
Infectious diseases remain among the top contributors to human illness and death worldwide, among which many diseases produce epidemic waves of infection. The unavailability of spe…
Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar +1
Forecasting time series data is a critical area of research with applications spanning from stock prices to early epidemic prediction. While numerous statistical and machine learni…