4 papers
KESurv: A Kernel Ensemble Method for Patient-Specific Survival Prediction
Rahul Goswami
Predicting patient-specific survival functions is crucial for clinicians in making informed decisions about patient care and treatment strategies. Among the various models availabl…
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
Rahul Goswami, Shinjini Paul, Palash Ghosh +1
Accurate dengue forecasting is crucial for public health planning, but remains challenging because incidence series are often short, noisy, non-stationary, nonlinear, and often aff…
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…
Area-norm COBRA on Conditional Survival Prediction
Rahul Goswami, Arabin Kr. Dey
The paper explores a different variation of combined regression strategy to calculate the conditional survival function. We use regression based weak learners to create the propose…