Rohitash Chandra
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View article: Analysing Personal Attacks in U.S. Presidential Debates
Analysing Personal Attacks in U.S. Presidential Debates Open
Personal attacks have become a notable feature of U.S. presidential debates and play an important role in shaping public perception during elections. Detecting such attacks can improve transparency in political discourse and provide insigh…
View article: Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis Open
View article: Unsupervised Machine Learning Framework for Identification of Spatial Distribution of Minerals on Mars
Unsupervised Machine Learning Framework for Identification of Spatial Distribution of Minerals on Mars Open
Planetary exploration missions have acquired a growing amount of remote sensing data, offering a reliable basis for studying the geological evolution of planetary bodies such as Mars. In recent years, machine learning models have emerged a…
View article: QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification
QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification Open
View article: Longitudinal abuse and sentiment analysis of Hollywood movie dialogues using language models
Longitudinal abuse and sentiment analysis of Hollywood movie dialogues using language models Open
View article: A comprehensive survey of modern recommendation systems: methods, personalisation and scalable deployment
A comprehensive survey of modern recommendation systems: methods, personalisation and scalable deployment Open
View article: Language models for longitudinal analysis of abusive content in Billboard Music Charts
Language models for longitudinal analysis of abusive content in Billboard Music Charts Open
There is no doubt that there has been a drastic increase in abusive and sexually explicit content in music, particularly in Billboard Music Charts. However, there is a lack of studies that validate the trend for effective policy developmen…
View article: QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification
QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification Open
Conceptual rainfall-runoff models aid hydrologists and climate scientists in modelling streamflow to inform water management practices. Recent advances in deep learning have unravelled the potential for combining hydrological models with d…
View article: Extreme value forecasting using relevance-based data augmentation with deep learning models
Extreme value forecasting using relevance-based data augmentation with deep learning models Open
Data augmentation with generative adversarial networks (GANs) has been popular for class imbalance problems, mainly for pattern classification and computer vision-related applications. Extreme value forecasting is a challenging field that …
View article: Machine Learning for Detection and Analysis of Novel LLM Jailbreaks
Machine Learning for Detection and Analysis of Novel LLM Jailbreaks Open
Large Language Models (LLMs) suffer from a range of vulnerabilities that allow malicious users to solicit undesirable responses through manipulation of the input text. These so-called jailbreak prompts are designed to trick the LLM into ci…
View article: Unsupervised Machine Learning Framework for Identification of Spatial Distribution of Minerals on Mars
Unsupervised Machine Learning Framework for Identification of Spatial Distribution of Minerals on Mars Open
Planetary exploration missions have acquired a growing amount of remote sensing data, offering a reliable basis for studying the geological evolution of planetary bodies, such as Mars. In recent years, machine learning models have emerged …
View article: Analysis of IMDb movie reviews and ratings using a language model framework
Analysis of IMDb movie reviews and ratings using a language model framework Open
View article: Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems Open
View article: Convolutional Neural Networks for Mineral Prospecting Through Alteration Mapping with Remote Sensing Data
Convolutional Neural Networks for Mineral Prospecting Through Alteration Mapping with Remote Sensing Data Open
Traditional geological mapping methods, which rely on field observations and rock sample analysis, are inefficient for continuous spatial mapping of geological features such as alteration zones. Deep learning models such as convolutional n…
View article: An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses
An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses Open
Large Language models (LLMs) have been prominent for language translation, including low-resource languages. There has been limited study on the assessment of the quality of translations generated by LLMs, including Gemini, GPT, and Google…
View article: Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems Open
Recommender systems leveraging deep learning models have been crucial for assisting users in selecting items aligned with their preferences and interests. However, a significant challenge persists in single-criteria recommender systems, wh…
View article: Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data
Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data Open
Traditional geological mapping, based on field observations and rock sample analysis, is inefficient for continuous spatial mapping of features like alteration zones. Deep learning models, such as convolutional neural networks (CNNs), have…
View article: Pedestrian trajectory prediction using goal-driven and dynamics-based deep learning framework
Pedestrian trajectory prediction using goal-driven and dynamics-based deep learning framework Open
View article: Multi-modal deep learning for credit rating prediction using text and numerical data streams
Multi-modal deep learning for credit rating prediction using text and numerical data streams Open
View article: Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using Language Models
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using Language Models Open
Over the past decades, there has been an increase in the prevalence of abusive and violent content in Hollywood movies. In this study, we use language models to explore the longitudinal abuse and sentiment analysis of Hollywood Oscar and b…
View article: Large language models for newspaper sentiment analysis during COVID-19: The Guardian
Large language models for newspaper sentiment analysis during COVID-19: The Guardian Open
View article: HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models
HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models Open
During the COVID-19 pandemic, community tensions intensified, contributing to discriminatory sentiments against various religious groups, including Hindu communities. Recent advances in language models have shown promise for social media a…
View article: Compact Bayesian Neural Networks Via Pruned MCMC Sampling
Compact Bayesian Neural Networks Via Pruned MCMC Sampling Open
View article: An Evaluation of LLMs and Google Translate for Translation of Selected Indian Languages via Sentiment and Semantic Analyses
An Evaluation of LLMs and Google Translate for Translation of Selected Indian Languages via Sentiment and Semantic Analyses Open
Large Language models (LLMs) have been prominent for language translation, including low-resource languages. There has been limited study on the assessment of the quality of translations generated by LLMs, including Gemini, GPT, and Google…
View article: HP-BERT: A Framework for Longitudinal Study of Hinduphobia on Social Media via Language Models
HP-BERT: A Framework for Longitudinal Study of Hinduphobia on Social Media via Language Models Open
During the COVID-19 pandemic, community tensions intensified, contributing to discriminatory sentiments against various religious groups, including Hindu communities. Recent advances in language models have shown promise for social media a…
View article: Analysis of IMDb Movie Reviews and Ratings Using a Language Model Framework
Analysis of IMDb Movie Reviews and Ratings Using a Language Model Framework Open
Over the past few decades, IMDb (Internet Movie Database) has become prominent internationally for rating and user-generated reviews of movies. However, there has not been much research that evaluates the quality of user-generated reviews …
View article: An Analysis of Vaccine-Related Sentiments on Twitter (X) from Development to Deployment of COVID-19 Vaccines
An Analysis of Vaccine-Related Sentiments on Twitter (X) from Development to Deployment of COVID-19 Vaccines Open
Anti-vaccine sentiments have been well-known and reported throughout the history of viral outbreaks and vaccination programmes. The COVID-19 pandemic caused fear and uncertainty about vaccines, which has been well expressed on social media…
View article: Quantile deep learning models for multi-step ahead time series prediction
Quantile deep learning models for multi-step ahead time series prediction Open
Uncertainty quantification is crucial in time series prediction, and quantile regression offers a valuable mechanism for uncertainty quantification which is useful for extreme value forecasting. Although deep learning models have been prom…
View article: Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis Open
Machine translation using large language models (LLMs) is having a significant global impact, making communication easier. Mandarin Chinese is the official language used for communication by the government and media in China. In this study…
View article: Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef
Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef Open