Rohitash Chandra
Orcid: 0000-0001-6353-1464
According to our database1,
Rohitash Chandra
authored at least 131 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Neurocomputing, January, 2024
CoRR, 2024
Algorithms, 2024
ReefCoreSeg: A Clustering-Based Framework for Multi-Source Data Fusion for Segmentation of Reef Drill Cores.
IEEE Access, 2024
2023
Neurocomputing, December, 2023
Neurocomputing, November, 2023
DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling.
Environ. Model. Softw., November, 2023
Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks.
Environ. Model. Softw., April, 2023
Physics-informed neural entangled-ladder network for inhalation impedance of the respiratory system.
Comput. Methods Programs Biomed., April, 2023
Reef-Insight: A Framework for Reef Habitat Mapping with Clustering Methods Using Remote Sensing.
Inf., 2023
CoRR, 2023
An analysis of vaccine-related sentiments from development to deployment of COVID-19 vaccines.
CoRR, 2023
Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams.
CoRR, 2023
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation.
CoRR, 2023
An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis.
CoRR, 2023
CoRR, 2023
Reef-insight: A framework for reef habitat mapping with clustering methods via remote sensing.
CoRR, 2023
Recursive deep learning framework for forecasting the decadal world economic outlook.
CoRR, 2023
2022
A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data.
Remote. Sens., 2022
Neurocomputing, 2022
CoviRx: A User-Friendly Interface for Systematic Down-Selection of Repurposed Drug Candidates for COVID-19.
Data, 2022
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19.
CoRR, 2022
Artificial intelligence for topic modelling in Hindu philosophy: mapping themes between the Upanishads and the Bhagavad Gita.
CoRR, 2022
MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling Problem.
CoRR, 2022
Surrogate-assisted distributed swarm optimisation for computationally expensive models.
CoRR, 2022
Comput. Biol. Medicine, 2022
Appl. Soft Comput., 2022
IEEE Access, 2022
Semantic and Sentiment Analysis of Selected Bhagavad Gita Translations Using BERT-Based Language Framework.
IEEE Access, 2022
2021
Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning.
Environ. Model. Softw., 2021
CoRR, 2021
A review of machine learning in processing remote sensing data for mineral exploration.
CoRR, 2021
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown.
CoRR, 2021
CoRR, 2021
IEEE Access, 2021
IEEE Access, 2021
2020
3DWofE: An open-source software package for three-dimensional weights of evidence modeling.
Softw. Impacts, 2020
Integration of Selective Dimensionality Reduction Techniques for Mineral Exploration Using ASTER Satellite Data.
Remote. Sens., 2020
<i>Bayesreef</i>: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics.
Environ. Model. Softw., 2020
Eng. Appl. Artif. Intell., 2020
2019
Neurocomputing, 2019
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands.
Comput. Geosci., 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
2018
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks.
Neural Process. Lett., 2018
Neurocomputing, 2018
CoRR, 2018
Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success.
CoRR, 2018
Computer vision-based framework for extracting geological lineaments from optical remote sensing data.
CoRR, 2018
BayesReef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics.
CoRR, 2018
CoRR, 2018
Appl. Soft Comput., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction.
Neurocomputing, 2017
Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks.
CoRR, 2017
Face detection and recognition in an unconstrained environment for mobile visual assistive system.
Appl. Soft Comput., 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
The forward kinematics of the 6-6 parallel manipulator using an evolutionary algorithm based on generalized generation gap with parent-centric crossover.
Robotica, 2016
Evaluation of co-evolutionary neural network architectures for time series prediction with mobile application in finance.
Appl. Soft Comput., 2016
Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Unconstrained Face Detection from a Mobile Source Using Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Multi-step-ahead chaotic time series prediction using coevolutionary recurrent neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
On the relationship of degree of separability with depth of evolution in decomposition for cooperative coevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Coevolutionary Feature Selection and Reconstruction in Neuro-Evolution for Time Series Prediction.
Proceedings of the Artificial Life and Computational Intelligence, 2016
Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction.
Proceedings of the Artificial Life and Computational Intelligence, 2016
Competitive Island Cooperative Neuro-evolution of Feedforward Networks for Time Series Prediction.
Proceedings of the Artificial Life and Computational Intelligence, 2016
2015
Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2015
Mobile Application for Dengue Fever Monitoring and Tracking via GPS: Case Study for Fiji.
CoRR, 2015
CoRR, 2015
Development of an Android Application for an Electronic Medical Record System in an Outpatient Environment for Healthcare in Fiji.
CoRR, 2015
Global-local population memetic algorithm for solving the forward kinematics of parallel manipulators.
Connect. Sci., 2015
Competitive two-island cooperative co-evolution for training feedforward neural networks for pattern classification problems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Application of cooperative neuro-evolution of Elman recurrent networks for a two-dimensional cyclone track prediction for the south pacific region.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Enhancing Competitive Island Cooperative Neuro-Evolution Through Backpropagation for Pattern Classification.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Neuron-Synapse Level Problem Decomposition Method for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Coevolutionary Recurrent Neural Networks for Prediction of Rapid Intensification in Wind Intensity of Tropical Cyclones in the South Pacific Region.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Multi-Island Competitive Cooperative Coevolution for Real Parameter Global Optimization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Cooperative neuro-evolution of Elman recurrent networks for tropical cyclone wind-intensity prediction in the South Pacific region.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Competitive two-island cooperative coevolution for real parameter global optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Multi-objective cooperative neuro-evolution of recurrent neural networks for time series prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Scaling up Multi-island Competitive Cooperative Coevolution for Real Parameter Global Optimisation.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015
2014
Soft Comput., 2014
Competitive two-island cooperative coevolution for training Elman recurrent networks for time series prediction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Cooperative coevolution of feed forward neural networks for financial time series problem.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Multi-objective cooperative coevolution of neural networks for time series prediction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Adaptive problem decomposition in cooperative coevolution of recurrent networks for time series prediction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
PhD thesis, 2012
Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks.
Soft Comput., 2012
Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction.
Neurocomputing, 2012
On the issue of separability for problem decomposition in cooperative neuro-evolution.
Neurocomputing, 2012
Crossover-based local search in cooperative co-evolutionary feedforward neural networks.
Appl. Soft Comput., 2012
Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
2011
Neurocomputing, 2011
On solving the forward kinematics of 3RPR planar parallel manipulator using hybrid metaheuristics.
Appl. Math. Comput., 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
2009
Forward kinematics of the 3RPR planar parallel manipulators using real coded genetic algorithms.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009
Solving the forward kinematics of the 3RPR planar parallel manipulator using a hybrid meta-heuristic paradigm.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009
A meta-heuristic paradigm for solving the forward kinematics of 6-6 general parallel manipulator.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009
2008
Hybrid Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks.
Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008
2007
Hybrid Recurrent Neural Networks: An Application to Phoneme Classification.
Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, 2007
Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain.
Proceedings of the 2007 International Conference on Data Mining, 2007
The Comparison and Combination of Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007
A Hybrid Recurrent Neural Networks Architecture Inspired by Hidden Markov Models: Training and Extraction of Deterministic Finite Automaton.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007
2006
Training and extraction of fuzzy finite state automata in recurrent neural networks.
Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006