Jayadeva
Orcid: 0000-0002-0604-8756
According to our database1,
Jayadeva
authored at least 90 papers
between 1992 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models.
CoRR, 2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks.
CoRR, 2023
CoRR, 2023
Machine Learning Assisted Hybrid Electromagnetic Modeling Framework and Its Applications to UWB MIMO Antennas.
IEEE Access, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Block Sparse Variational Bayes Regression Using Matrix Variate Distributions With Application to SSVEP Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022
Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images.
CoRR, 2022
Predicting Oxide Glass Properties with Low Complexity Neural Network and Physical and Chemical Descriptors.
CoRR, 2022
2021
Eng. Appl. Artif. Intell., 2021
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images.
CoRR, 2021
ComBI: Compressed Binary Search Tree for Approximate <i>k</i>-NN Searches in Hamming Space.
Big Data Res., 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Inf. Sci., 2020
2019
Neurocomputing, 2019
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise.
CoRR, 2019
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019
2018
Ultra-Sparse Classifiers Through Minimizing the VC Dimension in the Empirical Feature Space - Submitted to the Special Issue on "Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition".
Neural Process. Lett., 2018
Appl. Soft Comput., 2018
Proceedings of the Reproducible Research in Pattern Recognition, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Sparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries: A Bayesian Perspective.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Studies in Computational Intelligence 659, Springer, ISBN: 978-3-319-46186-1, 2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
Neurocomputing, 2017
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark.
CoRR, 2017
2016
Benchmarking NLopt and state-of-the-art algorithms for continuous global optimization via <i>IACO</i><sub>R</sub>.
Swarm Evol. Comput., 2016
Neurocomputing, 2016
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
2015
Neurocomputing, 2015
Feature Selection for classification of hyperspectral data by minimizing a tight bound on the VC dimension.
CoRR, 2015
Benchmarking NLopt and state-of-art algorithms for Continuous Global Optimization via Hybrid IACO<sub>ℝ</sub>.
CoRR, 2015
CoRR, 2015
Appl. Soft Comput., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Enhancing IACO<sub>R</sub> Local Search by Mtsls1-BFGS for Continuous Global Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
CoRR, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013
Computation and study of the low-frequency oscillation of surface electromyogram recorded in biceps during isometric upper limb contraction.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Neurocomputing, 2012
2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
Proceedings of the 8th International Conference on Information, 2011
2010
IEEE Trans. Inf. Technol. Biomed., 2010
Learning the optimal kernel for Fisher discriminant analysis via second order cone programming.
Eur. J. Oper. Res., 2010
2009
Regularized least squares fuzzy support vector regression for financial time series forecasting.
Expert Syst. Appl., 2009
Proceedings of the Pattern Recognition and Machine Intelligence, 2009
Proceedings of the Pattern Recognition and Machine Intelligence, 2009
2008
Optim. Methods Softw., 2008
Design methodology for configurable analog to digital conversion using support vector machines.
Microelectron. J., 2008
Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives.
Inf. Sci., 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control.
IEEE Trans. Neural Networks, 2007
Fuzzy multi-category proximal support vector classification via generalized eigenvalues.
Soft Comput., 2007
IEEE Trans. Pattern Anal. Mach. Intell., 2007
2006
Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative.
Proceedings of the International Joint Conference on Neural Networks, 2006
Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Fuzzy linear proximal support vector machines for multi-category data classification.
Neurocomputing, 2005
Proceedings of the Pattern Recognition and Machine Intelligence, 2005
2004
IEEE Trans. Circuits Syst. I Regul. Pap., 2004
Neurocomputing, 2004
2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
1999
Proceedings of the 12th International Conference on VLSI Design (VLSI Design 1999), 1999
1994
1992
Optimization with neural networks: a recipe for improving convergence and solution quality.
Biol. Cybern., 1992