Raghvendra Mall
Raghvendra Mall
Research Scientist at Qatar Computing Research Institute (QCRI), Qatar Foundation
Verified email at qf.org.qa - Homepage
Title
Cited by
Cited by
Year
Unsupervised learning algorithms
ME Celebi, K Aydin
Springer International Publishing, 2016
722016
Kernel spectral clustering for big data networks
R Mall, R Langone, JAK Suykens
Entropy 15 (5), 1567-1586, 2013
722013
Big data: Algorithms, analytics, and applications
KC Li, H Jiang, LT Yang, A Cuzzocrea
CRC Press, 2015
632015
Assessment of network module identification across complex diseases
S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ...
Nature methods 16 (9), 843-852, 2019
62*2019
Very Sparse LSSVM Reductions for Large Scale Data
R Mall, JAK Suykens
IEEE Transactions of Neural Networks and Learning Systems, 2014
602014
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), 222-227, 2018
542018
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
502018
Multi-class semi-supervised learning based upon kernel spectral clustering
S Mehrkanoon, C Alzate, R Mall, R Langone, JAK Suykens
IEEE TNNLS, 2014
472014
Soft kernel spectral clustering
R Langone, R Mall, JAK Suykens
Neural Networks (IJCNN), The 2013 International Joint Conference on, 1028-1035, 2013
352013
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
352011
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, 2018
342018
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
312013
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks
R Mall, R Langone, JAK Suykens
PLOS ONE 9 (6), 2014
272014
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
272013
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
232018
Representative Subsets For Big Data Learning using k-NN graphs
R Mall, V Jumutc, R Langone, JAK Suykens
IEEE International Conference on BigData, 2014
232014
Kernel Spectral Clustering and Applications
R Langne, R Mall, JAK Suykens
Unsupervised Learning Algorithms, 135-161, 2016
222016
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
222013
Exploring New Approaches towards the Formability of Mixed-Ion Perovskite by DFT and Machine Learning
H Park, R Mall, FH Alharbi, S Sanvito, N Tabet, H Bensmail, F El-Mellouhi
Physical Chemistry Chemical Physics, 2018
192018
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
182017
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