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08/30/2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Since their inception in 2014, Generative Adversarial Networks (GANs) ha...
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06/09/2023
Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model
The rapid urbanization trend in most developing countries including Indi...
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12/16/2022
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
Dengue fever is a virulent disease spreading over 100 tropical and subtr...
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09/09/2022
Knowledge-based Deep Learning for Modeling Chaotic Systems
Deep Learning has received increased attention due to its unbeatable suc...
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09/08/2022
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting
Deep learning utilizing transformers has recently achieved a lot of succ...
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06/21/2022
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics
Infectious diseases remain among the top contributors to human illness a...
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04/01/2022
An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting
Forecasting time series data presents an emerging field of data science ...
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10/10/2020
Nowcasting of COVID-19 confirmed cases: Foundations, trends, and challenges
The coronavirus disease 2019 (COVID-19) has become a public health emerg...
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04/09/2020
Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
The coronavirus disease 2019 (COVID-19) has become a public health emerg...
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11/28/2019
An analysis of the maximum likelihood estimates for the Lomax distribution
The Lomax distribution is a popularly used heavy-tailed distribution tha...
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11/28/2019
A note on the Lomax distribution
The Lomax distribution is a popularly used heavy-tailed distribution tha...
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09/02/2019
Bayesian Neural Tree Models for Nonparametric Regression
Frequentist and Bayesian methods differ in many aspects, but share some ...
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10/25/2018
Superensemble Classifier for Improving Predictions in Imbalanced Datasets
Learning from an imbalanced dataset is a tricky proposition. Because the...
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05/31/2018
Superensemble classifier for learning from imbalanced business school data set
Private business schools in India face a common problem of selecting qua...
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04/29/2018
A Nonparametric Ensemble Binary Classifier and its Statistical Properties
In this work, we propose an ensemble of classification trees (CT) and ar...
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04/23/2018