Rohitash Chandra

191 papers A* 1B 21Journal 138Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Abusive music and song transformation using GenAI and LLMs. CoRR Jiyang Choi, Rohitash Chandra
2026	J	`jnl`	An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars. CoRR Rohitash Chandra, Haoyan Chen, Yaqing Zhang, Jiacheng Chen, Yuting Wu
2026	J	`jnl`	Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English. CoRR Yue Zhang, Rodney Beard, John Hawkins, Rohitash Chandra
2026	J	`jnl`	Bayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data. CoRR Amuche Ibenegbu, Pierre Lafaye de Micheaux, Rohitash Chandra
2026	J	`jnl`	Quantile deep learning models for multi-step ahead time series prediction. Appl. Soft Comput. Jimmy Cheung, Smruthi Rangarajan, Amelia Maddocks, Rohitash Chandra
2025	J	`jnl`	A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction. CoRR Amuche Ibenegbu, Amandine Schaeffer, Pierre Lafaye de Micheaux, Rohitash Chandra
2025	J	`jnl`	Abusive text transformation using LLMs. CoRR Rohitash Chandra, Jiyong Choi
2025	J	`jnl`	An Evaluation of LLMs and Google Translate for Translation of Selected Indian Languages via Sentiment and Semantic Analyses. IEEE Access Rohitash Chandra, Aryan Chaudhari, Yeshwanth Rayavarapu
2025	J	`jnl`	An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses. CoRR Rohitash Chandra, Aryan Chaudhari, Yeshwanth Rayavarapu
2025	J	`jnl`	An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3. CoRR Brendan Sands, Yining Wang, Chenhao Xu, Yuxuan Zhou, Lai Wei, Rohitash Chandra
2025	J	`jnl`	Analysing Personal Attacks in U.S. Presidential Debates. CoRR Ruban Goyal, Rohitash Chandra, Sonit Singh
2025	J	`jnl`	Analysis of IMDb Movie Reviews and Ratings Using a Language Model Framework. IEEE Access Guoxiang Ren, Rohitash Chandra
2025	J	`jnl`	Capsule Network-Based Multimodal Fusion for Mortgage Risk Assessment from Unstructured Data Sources. CoRR Mahsa Tavakoli, Rohitash Chandra, Cristián Bravo
2025	J	`jnl`	Compact Bayesian Neural Networks via pruned MCMC sampling. CoRR Ratneel Deo, Scott A. Sisson, Jody M. Webster, Rohitash Chandra
2025	J	`jnl`	Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data. CoRR Ehsan Farahbakhsh, Dakshi Goel, Dhiraj Pimparkar, R. Dietmar Müller, Rohitash Chandra
2025	J	`jnl`	Deep learning framework for crater detection and identification on the Moon and Mars. CoRR Yihan Ma, Zeyang Yu, Rohitash Chandra
2025	J	`jnl`	DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection. CoRR Omkar Kulkarni, Rohitash Chandra
2025	J	`jnl`	Evaluation of LLMs for mathematical problem solving. CoRR Ruonan Wang, Runxi Wang, Yunwen Shen, Chengfeng Wu, Qinglin Zhou, Rohitash Chandra
2025	J	`jnl`	Evaluation of google translate for Mandarin Chinese translation using sentiment and semantic analysis. Nat. Lang. Process. J. Xuechun Wang, Rodney Beard, Rohitash Chandra
2025	J	`jnl`	Extreme value forecasting using relevance-based data augmentation with deep learning models. CoRR Junru Hua, Rahul Ahluwalia, Rohitash Chandra
2025	J	`jnl`	Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies. CoRR Tanay Panat, Rohitash Chandra
2025	J	`jnl`	HP-BERT: A Framework for Longitudinal Study of Hinduphobia on Social Media via Language Models. IEEE Access Ashutosh Singh, Rohitash Chandra
2025	J	`jnl`	HP-BERT: A framework for longitudinal study of Hinduphobia on social media via LLMs. CoRR Ashutosh Singh, Rohitash Chandra
2025	J	`jnl`	Landcover classification and change detection using remote sensing and machine learning: a case study of Western Fiji. CoRR Yadvendra Gurjar, Ruoni Wan, Ehsan Farahbakhsh, Rohitash Chandra
2025	J	`jnl`	Language models for longitudinal analysis of abusive content in Billboard Music Charts. CoRR Rohitash Chandra, Yathin Suresh, Divyansh Raj Sinha, Sanchit Jindal
2025	J	`jnl`	Large language models for newspaper sentiment analysis during COVID-19: The Guardian. Appl. Soft Comput. Rohitash Chandra, Baicheng Zhu, Qingying Fang, Eka Shinjikashvili
2025	J	`jnl`	Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using LLMs. CoRR Rohitash Chandra, Guoxiang Ren, Group-H
2025	J	`jnl`	Machine Learning for Detection and Analysis of Novel LLM Jailbreaks. CoRR John Hawkins, Aditya Pramar, Rodney Beard, Rohitash Chandra
2025	J	`jnl`	Multi-modal deep learning for credit rating prediction using text and numerical data streams. Appl. Soft Comput. Mahsa Tavakoli, Rohitash Chandra, Fengrui Tian, Cristián Bravo
2025	J	`jnl`	Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems. CoRR Saman Forouzandeh, Pavel N. Krivitsky, Rohitash Chandra
2025	J	`jnl`	Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems. Expert Syst. Appl. Saman Forouzandeh, Pavel N. Krivitsky, Rohitash Chandra
2025	J	`jnl`	Pedestrian trajectory prediction using goal-driven and dynamics-based deep learning framework. Expert Syst. Appl. Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
2025	J	`jnl`	QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification. CoRR Arpit Kapoor, Rohitash Chandra
2025	J	`jnl`	Research impact evaluation based on effective authorship contribution sensitivity: h-leadership index. CoRR Hardik A. Jain, Rohitash Chandra
2025	J	`jnl`	Spatiotemporal deep learning models for detection of rapid intensification in cyclones. CoRR Vamshika Sutar, Amandeep Singh, Rohitash Chandra
2024	J	`jnl`	A Quantum-Inspired Predator-Prey Algorithm for Real-Parameter Optimization. Algorithms Azal Ahmad Khan, Salman Hussain, Rohitash Chandra
2024	J	`jnl`	A clustering and graph deep learning-based framework for COVID-19 drug repurposing. Expert Syst. Appl. Chaarvi Bansal, P. R. Deepa, Vinti Agarwal, Rohitash Chandra
2024	J	`jnl`	A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models. CoRR Chen Wang, Rohitash Chandra
2024	J	`jnl`	A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation. Expert Syst. Appl. Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
2024	J	`jnl`	A unified machine learning framework for basketball team roster construction: NBA and WNBA. Appl. Soft Comput. Yuhao Ke, Ranran Bian, Rohitash Chandra
2024	J	`jnl`	An Analysis of Vaccine-Related Sentiments on Twitter (X) from Development to Deployment of COVID-19 Vaccines. Big Data Cogn. Comput. Rohitash Chandra, Jayesh Sonawane, Jahnavi Lande
2024	J	`jnl`	Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation. CoRR Omkar Kulkarni, Rohitash Chandra
2024	J	`jnl`	Bayesian Neural Networks via MCMC: A Python-Based Tutorial. IEEE Access Rohitash Chandra, Joshua A. Simmons
2024	J	`jnl`	Deep learning framework with Bayesian data imputation for modelling and forecasting groundwater levels. Environ. Model. Softw. Eric Chen, Martin S. Andersen, Rohitash Chandra
2024	J	`jnl`	Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis. CoRR Xuechun Wang, Rodney Beard, Rohitash Chandra
2024	J	`jnl`	Evaluation of deep learning models for Australian climate extremes: prediction of streamflow and floods. CoRR Siddharth Khedkar, R. Willem Vervoort, Rohitash Chandra
2024	J	`jnl`	Large Language Models for Metaphor Detection: Bhagavad Gita and Sermon on the Mount. IEEE Access Rohitash Chandra, Abhishek Tiwari, Naman Jain, Sushrut Badhe
2024	J	`jnl`	Large language model for Bible sentiment analysis: Sermon on the Mount. CoRR Mahek Vora, Tom Blau, Vansh Kachhwal, Ashu M. G. Solo, Rohitash Chandra
2024	J	`jnl`	Large language models for sentiment analysis of newspaper articles during COVID-19: The Guardian. CoRR Rohitash Chandra, Baicheng Zhu, Qingying Fang, Eka Shinjikashvili
2024	A*	`conf`	Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. ICRA Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
2024	J	`jnl`	Quantile deep learning models for multi-step ahead time series prediction. CoRR Jimmy Cheung, Smruthi Rangarajan, Amelia Maddocks, Xizhe Chen, Rohitash Chandra
2024	J	`jnl`	Recursive Deep Learning Framework for Forecasting the Decadal World Economic Outlook. IEEE Access Tianyi Wang, Rodney Beard, John Hawkins, Rohitash Chandra
2024	J	`jnl`	ReefCoreSeg: A Clustering-Based Framework for Multi-Source Data Fusion for Segmentation of Reef Drill Cores. IEEE Access Ratneel Deo, Jody M. Webster, Tristan Salles, Rohitash Chandra
2024	J	`jnl`	Remote sensing framework for geological mapping via stacked autoencoders and clustering. CoRR Sandeep Nagar, Ehsan Farahbakhsh, Joseph L. Awange, Rohitash Chandra
2024	J	`jnl`	Self-supervised learning for skin cancer diagnosis with limited training data. CoRR Hamish Haggerty, Rohitash Chandra
2024	J	`jnl`	Sequential reversible jump MCMC for dynamic Bayesian neural networks. Neurocomputing Nhat Minh Nguyen, Minh-Ngoc Tran, Rohitash Chandra
2023	J	`jnl`	A clustering and graph deep learning-based framework for COVID-19 drug repurposing. CoRR Chaarvi Bansal, Rohitash Chandra, Vinti Agarwal, P. R. Deepa
2023	J	`jnl`	A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation. CoRR Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
2023	J	`jnl`	An analysis of vaccine-related sentiments from development to deployment of COVID-19 vaccines. CoRR Rohitash Chandra, Jayesh Sonawane, Janhavi Lande, Cathy Yu
2023	J	`jnl`	An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis. CoRR Akshat Shukla, Chaarvi Bansal, Sushrut Badhe, Mukul Ranjan, Rohitash Chandra
2023	J	`jnl`	An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis. Nat. Lang. Process. J. Akshat Shukla, Chaarvi Bansal, Sushrut Badhe, Mukul Ranjan, Rohitash Chandra
2023	J	`jnl`	Bayesian neural networks via MCMC: a Python-based tutorial. CoRR Rohitash Chandra, Royce Chen, Joshua A. Simmons
2023	J	`jnl`	Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks. Environ. Model. Softw. Arpit Kapoor, Anshul Negi, Lucy A. Marshall, Rohitash Chandra
2023	J	`jnl`	Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron. CoRR Janhavi Lande, Arti Pillay, Rohitash Chandra
2023	J	`jnl`	DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling. Environ. Model. Softw. Arpit Kapoor, Sahani Pathiraja, Lucy A. Marshall, Rohitash Chandra
2023	J	`jnl`	Gradient boosting Bayesian neural networks via Langevin MCMC. Neurocomputing George Bai, Rohitash Chandra
2023	J	`jnl`	Memory capacity of recurrent neural networks with matrix representation. Neurocomputing Animesh Renanse, Alok Sharma, Rohitash Chandra
2023	J	`jnl`	Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams. CoRR Mahsa Tavakoli, Rohitash Chandra, Fengrui Tian, Cristián Bravo
2023	J	`jnl`	Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. CoRR Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
2023	J	`jnl`	Physics-informed neural entangled-ladder network for inhalation impedance of the respiratory system. Comput. Methods Programs Biomed. Amit Krishan Kumar, Snigdha Jain, Shirin Jain, M. Ritam, Yuanqing Xia, Rohitash Chandra
2023	J	`jnl`	Recursive deep learning framework for forecasting the decadal world economic outlook. CoRR Tianyi Wang, Rodney Beard, John Hawkins, Rohitash Chandra
2023	J	`jnl`	Reef-Insight: A Framework for Reef Habitat Mapping with Clustering Methods Using Remote Sensing. Inf. Saharsh Barve, Jody M. Webster, Rohitash Chandra
2023	J	`jnl`	Reef-insight: A framework for reef habitat mapping with clustering methods via remote sensing. CoRR Saharsh Barve, Jody M. Webster, Rohitash Chandra
2022	J	`jnl`	A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data. Remote. Sens. Hodjat Shirmard, Ehsan Farahbakhsh, Elnaz Heidari, Amin Beiranvand Pour, Biswajeet Pradhan, R. Dietmar Müller, Rohitash Chandra
2022	J	`jnl`	Artificial intelligence for topic modelling in Hindu philosophy: mapping themes between the Upanishads and the Bhagavad Gita. CoRR Rohitash Chandra, Mukul Ranjan
2022	J	`jnl`	Bayesian neuroevolution using distributed swarm optimization and tempered MCMC. Appl. Soft Comput. Arpit Kapoor, Eshwar Nukala, Rohitash Chandra
2022	J	`jnl`	CoviRx: A User-Friendly Interface for Systematic Down-Selection of Repurposed Drug Candidates for COVID-19. Data Hardik A. Jain, Vinti Agarwal, Chaarvi Bansal, Anupama Kumar, Faheem Faheem, Muzaffar-Ur-Rehman Mohammed, Sankaranarayanan Murugesan, Moana M. Simpson, Avinash V. Karpe, Rohitash Chandra, Christopher A. MacRaild, Ian K. Styles, Amanda L. Peterson, Matthew A. Cooper, Carl M. J. Kirkpatrick, Rohan M. Shah, Enzo A. Palombo, Natalie L. Trevaskis, Darren J. Creek, Seshadri S. Vasan
2022	J	`jnl`	Deep learning for predicting respiratory rate from biosignals. Comput. Biol. Medicine Amit Krishan Kumar, M. Ritam, Lina Han, Shuli Guo, Rohitash Chandra
2022	J	`jnl`	Distributed Bayesian optimisation framework for deep neuroevolution. Neurocomputing Rohitash Chandra, Animesh Tiwari
2022	J	`jnl`	Evolutionary bagging for ensemble learning. CoRR Giang Ngo, Rodney Beard, Rohitash Chandra
2022	J	`jnl`	Evolutionary bagging for ensemble learning. Neurocomputing Giang Ngo, Rodney Beard, Rohitash Chandra
2022	J	`jnl`	MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling Problem. CoRR Shelvin Chand, Kousik Rajesh, Rohitash Chandra
2022	J	`jnl`	Revisiting Bayesian Autoencoders With MCMC. IEEE Access Rohitash Chandra, Mahir Jain, Manavendra Maharana, Pavel N. Krivitsky
2022	J	`jnl`	SMOTified-GAN for Class Imbalanced Pattern Classification Problems. IEEE Access Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra
2022	J	`jnl`	Semantic and Sentiment Analysis of Selected Bhagavad Gita Translations Using BERT-Based Language Framework. IEEE Access Rohitash Chandra, Venkatesh Kulkarni
2022	J	`jnl`	Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language framework. CoRR Rohitash Chandra, Venkatesh Kulkarni
2022	J	`jnl`	Surrogate-assisted distributed swarm optimisation for computationally expensive models. CoRR Rohitash Chandra, Yash Vardhan Sharma
2022	J	`jnl`	Unsupervised machine learning framework for discriminating major variants of concern during COVID-19. CoRR Mingyue Kang, Seshadri Vasan, Laurence O. W. Wilson, Rohitash Chandra
2021	J	`jnl`	A review of machine learning in processing remote sensing data for mineral exploration. CoRR Hodjat Shirmard, Ehsan Farahbakhsh, R. Dietmar Müller, Rohitash Chandra
2021	J	`jnl`	Bayesian Graph Convolutional Neural Networks via Tempered MCMC. IEEE Access Rohitash Chandra, Ayush Bhagat, Manavendra Maharana, Pavel N. Krivitsky
2021	J	`jnl`	Bayesian graph convolutional neural networks via tempered MCMC. CoRR Rohitash Chandra, Ayush Bhagat, Manavendra Maharana, Pavel N. Krivitsky
2021	J	`jnl`	Biden vs Trump: Modeling US General Elections Using BERT Language Model. IEEE Access Rohitash Chandra, Ritij Saini
2021	J	`jnl`	COVID-19 sentiment analysis via deep learning during the rise of novel cases. CoRR Rohitash Chandra, Aswin Krishna
2021	J	`jnl`	Deep learning via LSTM models for COVID-19 infection forecasting in India. CoRR Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan
2021	J	`jnl`	Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown. CoRR Animesh Tiwari, Rishabh Gupta, Rohitash Chandra
2021	J	`jnl`	Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction. IEEE Access Rohitash Chandra, Shaurya Goyal, Rishabh Gupta
2021	J	`jnl`	Evaluation of deep learning models for multi-step ahead time series prediction. CoRR Rohitash Chandra, Shaurya Goyal, Rishabh Gupta
2021	J	`jnl`	Memory Capacity of Neural Turing Machines with Matrix Representation. CoRR Animesh Renanse, Rohitash Chandra, Alok Sharma
2021	J	`jnl`	Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning. Environ. Model. Softw. Rohitash Chandra, Sally Cripps, Nathaniel Butterworth, R. Dietmar Müller
2021	J	`jnl`	Revisiting Bayesian Autoencoders with MCMC. CoRR Rohitash Chandra, Mahir Jain, Manavendra Maharana, Pavel N. Krivitsky
2021	J	`jnl`	SMOTified-GAN for class imbalanced pattern classification problems. CoRR Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra
2020	J	`jnl`	3DWofE: An open-source software package for three-dimensional weights of evidence modeling. Softw. Impacts Ehsan Farahbakhsh, Ardeshir Hezarkhani, Taymour Eslamkish, Abbas Bahroudi, Rohitash Chandra
2020	J	`jnl`	Bayesian neural multi-source transfer learning. Neurocomputing Rohitash Chandra, Arpit Kapoor
2020	J	`jnl`	Integration of Selective Dimensionality Reduction Techniques for Mineral Exploration Using ASTER Satellite Data. Remote. Sens. Hodjat Shirmard, Ehsan Farahbakhsh, Amin Beiranvand Pour, Aidy M. Muslim, R. Dietmar Müller, Rohitash Chandra
2020	J	`jnl`	Surrogate-assisted parallel tempering for Bayesian neural learning. Eng. Appl. Artif. Intell. Rohitash Chandra, Konark Jain, Arpit Kapoor, Ashray Aman
2019	J	`jnl`	Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands. Comput. Geosci. Rohitash Chandra, Danial Azam, R. Dietmar Müller, Tristan Salles, Sally Cripps
2019	J	`jnl`	Langevin-gradient parallel tempering for Bayesian neural learning. Neurocomputing Rohitash Chandra, Konark Jain, Ratneel Vikash Deo, Sally Cripps
2019	—	`conf`	Multi-step-ahead Cyclone Intensity Prediction with Bayesian Neural Networks. PRICAI (2) Ratneel Deo, Rohitash Chandra
2018	J	`jnl`	BayesLands: A Bayesian inference approach for parameter uncertainty quantification in Badlands. CoRR Rohitash Chandra, Danial Azam, R. Dietmar Müller, Tristan Salles, Sally Cripps
2018	J	`jnl`	BayesReef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics. CoRR Jodie Pall, Rohitash Chandra, Danial Azam, Tristan Salles, Jody M. Webster, Sally Cripps
2018	B	`conf`	Bayesian Multi-task Learning for Dynamic Time Series Prediction. IJCNN Rohitash Chandra, Sally Cripps
2018	J	`jnl`	Co-evolutionary multi-task learning for dynamic time series prediction. Appl. Soft Comput. Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
2018	J	`jnl`	Coevolutionary multi-task learning for feature-based modular pattern classification. Neurocomputing Rohitash Chandra, Sally Cripps
2018	J	`jnl`	Computer vision-based framework for extracting geological lineaments from optical remote sensing data. CoRR Ehsan Farahbakhsh, Rohitash Chandra, Hugo K. H. Olierook, Richard Scalzo, Chris Clark, Steven M. Reddy, R. Dietmar Müller
2018	B	`conf`	Cyclone Track Prediction with Matrix Neural Networks. IJCNN Yanfei Zhang, Rohitash Chandra, Junbin Gao
2018	J	`jnl`	Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success. CoRR Richard Scalzo, David Kohn, Hugo K. H. Olierook, Gregory Houseman, Rohitash Chandra, Mark A. Girolami, Sally Cripps
2018	J	`jnl`	Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. Neural Process. Lett. Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh
2018	B	`conf`	Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction. IJCNN Gary Wong, Anuraganand Sharma, Rohitash Chandra
2018	J	`jnl`	Langevin-gradient parallel tempering for Bayesian neural learning. CoRR Rohitash Chandra, Konark Jain, Ratneel Vikash Deo, Sally Cripps
2018	B	`conf`	Multi-Task Modular Backpropagation For Dynamic Time Series Prediction. IJCNN Rohitash Chandra
2018	J	`jnl`	Multi-core parallel tempering Bayeslands for basin and landscape evolution. CoRR Rohitash Chandra, R. Dietmar Müller, Ratneel Deo, Nathaniel Butterworth, Tristan Salles, Sally Cripps
2018	J	`jnl`	Surrogate-assisted Bayesian inversion for landscape and basin evolution models. CoRR Rohitash Chandra, Danial Azam, Arpit Kapoor, R. Dietmar Müller
2018	J	`jnl`	Surrogate-assisted parallel tempering for Bayesian neural learning. CoRR Rohitash Chandra, Konark Jain, Arpit Kapoor
2017	J	`jnl`	An affective computational model for machine consciousness. CoRR Rohitash Chandra
2017	—	`conf`	Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction. ICONIP (5) Rohitash Chandra, Lamiae Azizi, Sally Cripps
2017	—	`conf`	Co-evolutionary Multi-task Learning for Modular Pattern Classification. ICONIP (6) Rohitash Chandra
2017	J	`jnl`	Co-evolutionary multi-task learning for dynamic time series prediction. CoRR Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
2017	J	`jnl`	Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction. Neurocomputing Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
2017	—	`conf`	Dynamic Cyclone Wind-Intensity Prediction Using Co-Evolutionary Multi-task Learning. ICONIP (5) Rohitash Chandra
2017	J	`jnl`	Face detection and recognition in an unconstrained environment for mobile visual assistive system. Appl. Soft Comput. Shonal Chaudhry, Rohitash Chandra
2017	—	`conf`	Multi-task Modular Backpropagation for Feature-Based Pattern Classification. ICONIP (6) Rohitash Chandra
2017	J	`jnl`	Stacked transfer learning for tropical cyclone intensity prediction. CoRR Ratneel Vikash Deo, Rohitash Chandra, Anuraganand Sharma
2017	—	`conf`	Towards an Affective Computational Model for Machine Consciousness. ICONIP (5) Rohitash Chandra
2017	J	`jnl`	Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks. CoRR Rohitash Chandra
2016	B	`conf`	An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks. IJCNN Rohitash Chandra, Ratneel Deo, Christian W. Omlin
2016	—	`conf`	Chaotic Feature Selection and Reconstruction in Time Series Prediction. ICONIP (3) Shamina Hussein, Rohitash Chandra
2016	—	`conf`	Coevolutionary Feature Selection and Reconstruction in Neuro-Evolution for Time Series Prediction. ACALCI Ravneil Nand, Rohitash Chandra
2016	—	`conf`	Competitive Island Cooperative Neuro-evolution of Feedforward Networks for Time Series Prediction. ACALCI Ravneil Nand, Rohitash Chandra
2016	B	`conf`	Contribution based multi-island competitive cooperative coevolution. CEC Kavitesh Bali, Rohitash Chandra, Mohammad Nabi Omidvar
2016	B	`conf`	Cooperative neuro-evolutionary recurrent neural networks for solar power prediction. CEC Mashud Rana, Rohitash Chandra, Vassilios G. Agelidis
2016	J	`jnl`	Evaluation of co-evolutionary neural network architectures for time series prediction with mobile application in finance. Appl. Soft Comput. Rohitash Chandra, Shelvin Chand
2016	—	`conf`	Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. ICONIP (2) Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh
2016	B	`conf`	Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction. IJCNN Ratneel Deo, Rohitash Chandra
2016	—	`conf`	Memetic Cooperative Neuro-Evolution for Chaotic Time Series Prediction. ICONIP (3) Gary Wong, Rohitash Chandra, Anuraganand Sharma
2016	B	`conf`	Multi-step-ahead chaotic time series prediction using coevolutionary recurrent neural networks. CEC Shamina Hussein, Rohitash Chandra, Anuraganand Sharma
2016	B	`conf`	On the relationship of degree of separability with depth of evolution in decomposition for cooperative coevolution. CEC Rohitash Chandra, Ratneel Deo, Kavitesh Bali, Anurag Sharma
2016	—	`conf`	Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction. ACALCI Ravneil Nand, Rohitash Chandra
2016	J	`jnl`	The forward kinematics of the 6-6 parallel manipulator using an evolutionary algorithm based on generalized generation gap with parent-centric crossover. Robotica Luc Rolland, Rohitash Chandra
2016	—	`conf`	Unconstrained Face Detection from a Mobile Source Using Convolutional Neural Networks. ICONIP (2) Shonal Chaudhry, Rohitash Chandra
2015	J	`jnl`	A Study of the Management of Electronic Medical Records in Fijian Hospitals. CoRR Swaran S. Ravindra, Rohitash Chandra, Virallikattur S. Dhenesh
2015	B	`conf`	Application of cooperative neuro-evolution of Elman recurrent networks for a two-dimensional cyclone track prediction for the south pacific region. IJCNN Rohitash Chandra, Kavina Dayal, Nicholas Rollings
2015	—	`conf`	Coevolutionary Recurrent Neural Networks for Prediction of Rapid Intensification in Wind Intensity of Tropical Cyclones in the South Pacific Region. ICONIP (3) Rohitash Chandra, Kavina S. Dayal
2015	J	`jnl`	Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction. IEEE Trans. Neural Networks Learn. Syst. Rohitash Chandra
2015	—	`conf`	Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions. ICONIP (3) Kavitesh K. Bali, Rohitash Chandra, Mohammad Nabi Omidvar
2015	B	`conf`	Competitive two-island cooperative co-evolution for training feedforward neural networks for pattern classification problems. IJCNN Rohitash Chandra, Gary Wong
2015	B	`conf`	Competitive two-island cooperative coevolution for real parameter global optimisation. CEC Rohitash Chandra, Kavitesh Bali
2015	B	`conf`	Cooperative neuro-evolution of Elman recurrent networks for tropical cyclone wind-intensity prediction in the South Pacific region. CEC Rohitash Chandra, Kavina Dayal
2015	J	`jnl`	Design of a Mobile Face Recognition System for Visually Impaired Persons. CoRR Shonal Chaudhry, Rohitash Chandra
2015	J	`jnl`	Development of an Android Application for an Electronic Medical Record System in an Outpatient Environment for Healthcare in Fiji. CoRR Daryl Abel, Bulou Gavidi, Nicholas Rollings, Rohitash Chandra
2015	—	`conf`	Enhancing Competitive Island Cooperative Neuro-Evolution Through Backpropagation for Pattern Classification. ICONIP (1) Gary Wong, Rohitash Chandra
2015	J	`jnl`	Global-local population memetic algorithm for solving the forward kinematics of parallel manipulators. Connect. Sci. Rohitash Chandra, Luc Rolland
2015	J	`jnl`	Mobile Application for Dengue Fever Monitoring and Tracking via GPS: Case Study for Fiji. CoRR Emmenual Reddy, Sarnil Kumar, Nicholas Rollings, Rohitash Chandra
2015	—	`conf`	Multi-Island Competitive Cooperative Coevolution for Real Parameter Global Optimization. ICONIP (3) Kavitesh K. Bali, Rohitash Chandra
2015	B	`conf`	Multi-objective cooperative neuro-evolution of recurrent neural networks for time series prediction. CEC Rohitash Chandra
2015	—	`conf`	Neuron-Synapse Level Problem Decomposition Method for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction. ICONIP (3) Ravneil Nand, Rohitash Chandra
2015	—	`conf`	Scaling up Multi-island Competitive Cooperative Coevolution for Real Parameter Global Optimisation. Australasian Conference on Artificial Intelligence Kavitesh K. Bali, Rohitash Chandra
2014	B	`conf`	Competitive two-island cooperative coevolution for training Elman recurrent networks for time series prediction. IJCNN Rohitash Chandra
2014	B	`conf`	Cooperative coevolution of feed forward neural networks for financial time series problem. IJCNN Shelvin Chand, Rohitash Chandra
2014	J	`jnl`	Memetic cooperative coevolution of Elman recurrent neural networks. Soft Comput. Rohitash Chandra
2014	B	`conf`	Multi-objective cooperative coevolution of neural networks for time series prediction. IJCNN Shelvin Chand, Rohitash Chandra
2013	B	`conf`	Adaptive problem decomposition in cooperative coevolution of recurrent networks for time series prediction. IJCNN Rohitash Chandra
2012	J	`jnl`	Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks. Soft Comput. Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2012	—	`conf`	Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements. SEAL Rohitash Chandra, Mengjie Zhang, Lifeng Peng
2012	J	`jnl`	Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction. Neurocomputing Rohitash Chandra, Mengjie Zhang
2012	J	`jnl`	Crossover-based local search in cooperative co-evolutionary feedforward neural networks. Appl. Soft Comput. Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2012	J	`jnl`	On the issue of separability for problem decomposition in cooperative neuro-evolution. Neurocomputing Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2012	—	`—`	Problem Decomposition and Adaptation in Cooperative Neuro-Evolution. Rohitash Chandra
2011	B	`conf`	A memetic framework for cooperative coevolution of recurrent neural networks. IJCNN Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2011	J	`jnl`	Encoding subcomponents in cooperative co-evolutionary recurrent neural networks. Neurocomputing Rohitash Chandra, Marcus R. Frean, Mengjie Zhang, Christian W. Omlin
2011	B	`conf`	Modularity adaptation in cooperative coevolution of feedforward neural networks. IJCNN Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2011	J	`jnl`	On solving the forward kinematics of 3RPR planar parallel manipulator using hybrid metaheuristics. Appl. Math. Comput. Rohitash Chandra, Luc Rolland
2010	—	`conf`	An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks. Australasian Conference on Artificial Intelligence Rohitash Chandra, Marcus R. Frean, Mengjie Zhang
2009	—	`conf`	A meta-heuristic paradigm for solving the forward kinematics of 6-6 general parallel manipulator. CIRA Rohitash Chandra, Marcus R. Frean, Luc Rolland
2009	—	`conf`	Forward kinematics of the 3RPR planar parallel manipulators using real coded genetic algorithms. ISCIS Luc Rolland, Rohitash Chandra
2009	—	`conf`	Solving the forward kinematics of the 3RPR planar parallel manipulator using a hybrid meta-heuristic paradigm. CIRA Rohitash Chandra, Mengjie Zhang, Luc Rolland
2008	—	`conf`	Hybrid Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks. GEM Rohitash Chandra, Christian W. Omlin
2007	—	`conf`	A Hybrid Recurrent Neural Networks Architecture Inspired by Hidden Markov Models: Training and Extraction of Deterministic Finite Automaton. Artificial Intelligence and Pattern Recognition Rohitash Chandra, Christian W. Omlin
2007	—	`conf`	Hybrid Recurrent Neural Networks: An Application to Phoneme Classification. GEM Rohitash Chandra, Christian W. Omlin
2007	—	`conf`	Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain. DMIN Rohitash Chandra, Christian W. Omlin
2007	—	`conf`	The Comparison and Combination of Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification. Artificial Intelligence and Pattern Recognition Rohitash Chandra, Christian W. Omlin
2006	—	`conf`	Training and extraction of fuzzy finite state automata in recurrent neural networks. Computational Intelligence Rohitash Chandra, Christian W. Omlin