Raghvendra Mall
Raghvendra Mall
Scientist at Qatar Computing Research Institute (QCRI)
Verified email at qf.org.qa - Homepage
TitleCited byYear
Kernel spectral clustering for big data networks
R Mall, R Langone, J Suykens
Entropy 15 (5), 1567-1586, 2013
Very Sparse LSSVM Reductions for Large Scale Data
R Mall, JAK Suykens
IEEE Transactions of Neural Networks and Learning Systems, 2014
Big data: Algorithms, analytics, and applications
KC Li, H Jiang, LT Yang, A Cuzzocrea
CRC Press, 2015
Multi-class semi-supervised learning based upon kernel spectral clustering
S Mehrkanoon, C Alzate, R Mall, R Langone, JAK Suykens
Unsupervised learning algorithms
ME Celebi, K Aydin
Springer International Publishing, 2016
Variations to incremental growing neural gas algorithm based on label maximization
JC Lamirel, R Mall, P Cuxac, G Safi
The 2011 International Joint Conference on Neural Networks, 956-965, 2011
Soft kernel spectral clustering
R Langone, R Mall, JAK Suykens
Neural Networks (IJCNN), The 2013 International Joint Conference on, 1028-1035, 2013
Self-Tuned Kernel Spectral Clustering for Large Scale Networks
R Mall, K Arenberg, R Langone, JAK Suykens
Proc. of the IEEE Confence on Big Data, 2013
A metabolic function of FGFR3-TACC3 gene fusions in cancer
V Frattini, SM Pagnotta, JJ Fan, MV Russo, SB Lee, L Garofano, J Zhang, ...
Nature 553 (7687), 222, 2018
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks
R Mall, R Langone, JAK Suykens
PLOS ONE 9 (6), 2014
FURS: Fast and Unique Representative Subset selection retaining large-scale community structure
R Mall, R Langone, JAK Suykens
Social Network Analysis and Mining 3 (4), 1075-1095, 2013
Representative Subsets For Big Data Learning using k-NN graphs
R Mall, V Jumutc, R Langone, JAK Suykens
IEEE International Conference on BigData, 2014
Sparse reductions for fixed-size least squares support vector machines on large scale data
R Mall, JAK Suykens
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 161-173, 2013
DeepSol: A Deep Learning Framework for Sequence-Based Protein Solubility Prediction
S Khurana, R Rawi, K Kunji, GY Chuang, H Bensmail, R Mall
Bioinformatics, 2018
Kernel Spectral Clustering and Applications
R Langne, R Mall, JAK Suykens
Unsupervised Learning Algorithms, 135-161, 2016
PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine
R Rawi, R Mall, K Kunji, CH Shen, PD Kwong, GY Chuang
Bioinformatics 34 (7), 1092-1098, 2017
A new efficient and unbiased approach for clustering quality evaluation
JC Lamirel, P Cuxac, R Mall, G Safi
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 209-220, 2011
Detection of statistically significant network changes in complex biological networks
R Mall, L Cerulo, H Bensmail, A Iavarone, M Ceccarelli
BMC Systems Biology 11 (1), 32, 2017
RGBM: regularized gradient boosting machines for identification of the transcriptional regulators of discrete glioma subtypes
R Mall, L Cerulo, L Garofano, V Frattini, K Kunji, H Bensmail, TS Sabedot, ...
Nucleic acids research 46 (7), e39-e39, 2018
Software effort prediction using unsupervised learning (clustering) and functional link artificial neural networks
TR Benala, R Mall, S Dehuri, KC Babu
2012 World Congress on Information and Communication Technologies, 115-120, 2012
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