Raghvendra Mall
Orcid: 0000-0003-1779-3150
According to our database1,
Raghvendra Mall
authored at least 56 papers
between 2009 and 2024.
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Bibliography
2024
Briefings Bioinform., 2024
2023
Frontiers Artif. Intell., February, 2023
2021
Mach. Learn. Sci. Technol., 2021
A modeling framework for embedding-based predictions for compound-viral protein activity.
Bioinform., 2021
Network-based identification of key master regulators associated with an immune-silent cancer phenotype.
Briefings Bioinform., 2021
2020
npj Digit. Medicine, 2020
Bioinform., 2020
Proceedings of the NordiCHI '20: Shaping Experiences, 2020
2019
Benchmark on a large cohort for sleep-wake classification with machine learning techniques.
npj Digit. Medicine, 2019
DeepCrystal: a deep learning framework for sequence-based protein crystallization prediction.
Bioinform., 2019
2018
An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity.
F1000Research, 2018
PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine.
Bioinform., 2018
Bioinform., 2018
ISaaC: Identifying Structural Relations in Biological Data with Copula-Based Kernel Dependency Measures.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
2017
Detection of statistically significant network changes in complex biological networks.
BMC Syst. Biol., 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator.
BMC Bioinform., 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2015
PhD thesis, 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Identifying intervals for hierarchical clustering using the Gershgorin circle theorem.
Pattern Recognit. Lett., 2015
Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Big Data - Algorithms, Analytics, and Applications., 2015
2014
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks.
CoRR, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
FURS: Fast and Unique Representative Subset selection retaining large-scale community structure.
Soc. Netw. Anal. Min., 2013
Proceedings of the Pattern Recognition and Machine Intelligence, 2013
Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines.
Proceedings of the 19th International Conference on Management of Data, 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
2011
A New Label Maximization Based Incremental Neural Clustering Approach: Application to Text Clustering.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
Proceedings of the New Frontiers in Applied Data Mining, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Comparative Behaviour of Recent Incremental and Non-incremental Clustering Methods on Text: An Extended Study.
Proceedings of the Modern Approaches in Applied Intelligence, 2011
Detecting Correlations between Hot Days in News Feeds.
Proceedings of the KDIR 2011, 2011
2010
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010
2009
Proceedings of the 15th International Conference on Management of Data, 2009