Raghvendra Mall

Orcid: 0000-0003-1779-3150

According to our database1, Raghvendra Mall authored at least 56 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor.
CoRR, 2024

VISH-Pred: an ensemble of fine-tuned ESM models for protein toxicity prediction.
Briefings Bioinform., 2024

2023
Editorial: Insights in AI: Medicine and public health 2022.
Frontiers Artif. Intell., February, 2023

2021
Data-driven enhancement of cubic phase stability in mixed-cation perovskites.
Mach. Learn. Sci. Technol., 2021

Permutation-Invariant Subgraph Discovery.
CoRR, 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
The future of sleep health: a data-driven revolution in sleep science and medicine.
npj Digit. Medicine, 2020

BCrystal: an interpretable sequence-based protein crystallization predictor.
Bioinform., 2020

Four Types of Toxic People: Characterizing Online Users' Toxicity over Time.
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

DeepSol: a deep learning framework for sequence-based protein solubility prediction.
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

Identification of cancer drug sensitivity biomarkers.
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

Differential Community Detection in Paired Biological Networks.
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

Denoised Kernel Spectral data Clustering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Fast in-memory spectral clustering using a fixed-size approach.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Metabolomic Data Profiling for Diabetes Research in Qatar.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

Statistical and Network Analysis of Metabolomics Data.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Sparsity in Large Scale Kernel Models ; Sparsity in grootschalige Kernel modellen.
PhD thesis, 2015

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2015

Very Sparse LSSVM Reductions for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst., 2015

Identifying intervals for hierarchical clustering using the Gershgorin circle theorem.
Pattern Recognit. Lett., 2015

Kernel Spectral Clustering and applications.
CoRR, 2015

Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Hierarchical semi-supervised clustering using KSC based model.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Kernel spectral document clustering using unsupervised precision-recall metrics.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

KSC-net: Community Detection for Big Data Networks.
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

Optimal reduced sets for sparse kernel spectral clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Agglomerative hierarchical kernel spectral clustering for large scale networks.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Agglomerative hierarchical kernel spectral data clustering.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Clustering data over time using kernel spectral clustering with memory.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Representative subsets for big data learning using k-NN graphs.
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

Kernel Spectral Clustering for Big Data Networks.
Entropy, 2013

Highly Sparse Reductions to Kernel Spectral Clustering.
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

Soft kernel spectral clustering.
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

Self-tuned kernel spectral clustering for large scale networks.
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

A New Efficient and Unbiased Approach for Clustering Quality Evaluation.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Variations to incremental growing neural gas algorithm based on label maximization.
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
PERFICT: Perturbed Frequent Itemset Based Classification Technique.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

PERICASA.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
Variations and Trends in Hot Topics in News Feeds.
Proceedings of the 15th International Conference on Management of Data, 2009


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