Variations and Trends in Hot Topics in News Feeds. - Raghvendra Mall; Neeraj Bagdia; Vikram Pudi (COMAD, 2009)

PERICASA. - Raghvendra Mall; Prakhar Jain; Vikram Pudi; Bipin Indurkhya (IEEE ICCI, 2010)

PERFICT: Perturbed Frequent Itemset Based Classification Technique. - Raghvendra Mall; Prakhar Jain; Vikram Pudi (ICTAI (1), 2010)

Detecting Correlations between Hot Days in News Feeds. - Raghvendra Mall; Nahil Jain; Vikram Pudi (KDIR, 2011)

Comparative Behaviour of Recent Incremental and Non-incremental Clustering Methods on Text: An Extended Study. - Jean-Charles Lamirel; Raghvendra Mall; Mumtaz Ahmad 002 (IEA/AIE (1), 2011)

Variations to incremental growing neural gas algorithm based on label maximization. - Jean-Charles Lamirel; Raghvendra Mall; Pascal Cuxac; Ghada Safi (IJCNN, 2011)

A New Efficient and Unbiased Approach for Clustering Quality Evaluation. - Jean-Charles Lamirel; Pascal Cuxac; Raghvendra Mall; Ghada Safi (PAKDD Workshops, 2011)

A New Label Maximization Based Incremental Neural Clustering Approach: Application to Text Clustering. - Jean-Charles Lamirel; Raghvendra Mall; Shadi Al Shehabi; Ghada Safi (WSOM, 2011)

Self-tuned kernel spectral clustering for large scale networks. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (IEEE BigData, 2013)

Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines. - Raghvendra Mall; Johan A. K. Suykens; Mohammed El Anbari; Halima Bensmail (COMAD, 2013)

Soft kernel spectral clustering. - Rocco Langone; Raghvendra Mall; Johan A. K. Suykens (IJCNN, 2013)

Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data. - Raghvendra Mall; Johan A. K. Suykens (PAKDD (1), 2013)

Highly Sparse Reductions to Kernel Spectral Clustering. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (PReMI, 2013)

Kernel Spectral Clustering for Big Data Networks. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (Entropy, 2013)

FURS: Fast and Unique Representative Subset selection retaining large-scale community structure. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (Soc. Netw. Anal. Min., 2013)

Representative subsets for big data learning using k-NN graphs. - Raghvendra Mall; Vilen Jumutc; Rocco Langone; Johan A. K. Suykens (IEEE BigData, 2014)

Clustering data over time using kernel spectral clustering with memory. - Rocco Langone; Raghvendra Mall; Johan A. K. Suykens (CIDM, 2014)

Agglomerative hierarchical kernel spectral data clustering. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (CIDM, 2014)

Agglomerative hierarchical kernel spectral clustering for large scale networks. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (ESANN, 2014)

Optimal reduced sets for sparse kernel spectral clustering. - Raghvendra Mall; Siamak Mehrkanoon; Rocco Langone; Johan A. K. Suykens (IJCNN, 2014)

Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (CoRR, 2014)

KSC-net: Community Detection for Big Data Networks. - Raghvendra Mall; Johan A. K. Suykens (Big Data - Algorithms, Analytics, and Applications, 2015)

Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (ESANN, 2015)

Kernel spectral document clustering using unsupervised precision-recall metrics. - Raghvendra Mall; Johan A. K. Suykens (IJCNN, 2015)

Hierarchical semi-supervised clustering using KSC based model. - Siamak Mehrkanoon; Oscar Mauricio Agudelo; Raghvendra Mall; Johan A. K. Suykens (IJCNN, 2015)

Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification. - Mandar Chandorkar; Raghvendra Mall; Oliver Lauwers; Johan A. K. Suykens; Bart De Moor (SSCI, 2015)

Kernel Spectral Clustering and applications. - Rocco Langone; Raghvendra Mall; Carlos Alzate; Johan A. K. Suykens (CoRR, 2015)

Identifying intervals for hierarchical clustering using the Gershgorin circle theorem. - Raghvendra Mall; Siamak Mehrkanoon; Johan A. K. Suykens (Pattern Recognit. Lett., 2015)

Very Sparse LSSVM Reductions for Large-Scale Data. - Raghvendra Mall; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2015)

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering. - Siamak Mehrkanoon; Carlos Alzate; Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2015)

Sparsity in Large Scale Kernel Models ; Sparsity in grootschalige Kernel modellen. - Raghvendra Mall (2015)

Statistical and Network Analysis of Metabolomics Data. - Ehsan Ullah; Raghvendra Mall; Reda Rawi; Halima Bensmail (BCB, 2016)

Metabolomic Data Profiling for Diabetes Research in Qatar. - Raghvendra Mall; Laure Berti-Équille; Halima Bensmail (DEXA Workshops, 2016)

Fast in-memory spectral clustering using a fixed-size approach. - Rocco Langone; Raghvendra Mall; Vilen Jumutc; Johan A. K. Suykens (ESANN, 2016)

Denoised Kernel Spectral data Clustering. - Raghvendra Mall; Halima Bensmail; Rocco Langone; Carolina Varon; Johan A. K. Suykens (IJCNN, 2016)

COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator. - Reda Rawi; Raghvendra Mall; Khalid Kunji; Mohammed El Anbari; Michaël Aupetit 001; Ehsan Ullah; Halima Bensmail (BMC Bioinform., 2016)

Differential Community Detection in Paired Biological Networks. - Raghvendra Mall; Ehsan Ullah; Khalid Kunji; Fulvio D'Angelo; Halima Bensmail; Michele Ceccarelli (BCB, 2017)

An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity. - Raghvendra Mall; Ehsan Ullah; Khalid Kunji; Halima Bensmail; Michele Ceccarelli (BIBM, 2017)

Identification of cancer drug sensitivity biomarkers. - Ehsan Ullah; Raghvendra Mall; Halima Bensmail; Reda Rawi; Saila Shama; Nooral Al Muftah; Ian Richard Thmpson (BIBM, 2017)

Detection of statistically significant network changes in complex biological networks. - Raghvendra Mall; Luigi Cerulo; Halima Bensmail; Antonio Iavarone; Michele Ceccarelli (BMC Syst. Biol., 2017)

ISaaC: Identifying Structural Relations in Biological Data with Copula-Based Kernel Dependency Measures. - Hossam Al Meer; Raghvendra Mall; Ehsan Ullah; Nasreddine Megrez; Halima Bensmail (IWBBIO (1), 2018)

DeepSol: a deep learning framework for sequence-based protein solubility prediction. - Sameer Khurana; Reda Rawi; Khalid Kunji; Gwo-Yu Chuang; Halima Bensmail; Raghvendra Mall (Bioinform., 2018)

PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine. - Reda Rawi; Raghvendra Mall; Khalid Kunji; Chen-Hsiang Shen; Peter D. Kwong; Gwo-Yu Chuang (Bioinform., 2018)

An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity. - Raghvendra Mall; Ehsan Ullah; Khalid Kunji; Michele Ceccarelli; Halima Bensmail (F1000Research, 2018)

DeepCrystal: a deep learning framework for sequence-based protein crystallization prediction. - Abdurrahman Elbasir; Balasubramanian Moovarkumudalvan; Khalid Kunji; Prasanna R. Kolatkar; Raghvendra Mall; Halima Bensmail (Bioinform., 2019)

Benchmark on a large cohort for sleep-wake classification with machine learning techniques. - João R. M. Palotti; Raghvendra Mall; Michaël Aupetit 001; Michael Rueschman; Meghna Singh; Aarti Sathyanarayana; Shahrad Taheri; Luis Fernández-Luque (npj Digit. Medicine, 2019)

Four Types of Toxic People: Characterizing Online Users' Toxicity over Time. - Raghvendra Mall; Mridul Nagpal; Joni Salminen; Hind A. Al-Merekhi; Soon-Gyo Jung; Bernard J. Jansen (NordiCHI, 2020)

BCrystal: an interpretable sequence-based protein crystallization predictor. - Abdurrahman Elbasir; Raghvendra Mall; Khalid Kunji; Reda Rawi; Zeyaul Islam; Gwo-Yu Chuang; Prasanna R. Kolatkar; Halima Bensmail (Bioinform., 2020)

The future of sleep health: a data-driven revolution in sleep science and medicine. - Ignacio Perez-Pozuelo; Bing Zhai; João R. M. Palotti; Raghvendra Mall; Michaël Aupetit 001; Juan M. Garcia-Gomez; Shahrad Taheri; Yu Guan; Luis Fernández-Luque (npj Digit. Medicine, 2020)

Network-based identification of key master regulators associated with an immune-silent cancer phenotype. - Raghvendra Mall; Mohamad Saad 001; Jessica Roelands; Darawan Rinchai; Khalid Kunji; Hossam Almeer; Wouter Hendrickx; Francesco M. Marincola; Michele Ceccarelli; Davide Bedognetti (Briefings Bioinform., 2021)

A modeling framework for embedding-based predictions for compound-viral protein activity. - Raghvendra Mall; Abdurrahman Elbasir; Hossam Almeer; Zeyaul Islam; Prasanna R. Kolatkar; Sanjay Chawla; Ehsan Ullah (Bioinform., 2021)

Permutation-Invariant Subgraph Discovery. - Raghvendra Mall; Shameem Ahamed Puthiya Parambath; Han Yufei; Ting Yu 001; Sanjay Chawla (CoRR, 2021)

Data-driven enhancement of cubic phase stability in mixed-cation perovskites. - Heesoo Park; Adnan Ali; Raghvendra Mall; Halima Bensmail; Stefano Sanvito; Fedwa El-Mellouhi (Mach. Learn. Sci. Technol., 2021)

Editorial: Insights in AI: Medicine and public health 2022. - Thomas Hartung; Jun Deng; Raghvendra Mall; Alejandro F. Frangi; Frank Emmert-Streib; Tuan D. Pham (Frontiers Artif. Intell., 2023)

FEATURE-pHLA: Physico-chemical features efficiently predict peptide-HLA binding affinity. - Hamda Alhosani; Raghvendra Mall; Ankita Singh; Filippo Castiglione (BIBM, 2024)

VISH-Pred: an ensemble of fine-tuned ESM models for protein toxicity prediction. - Raghvendra Mall; Ankita Singh; Chirag N. Patel; Gregory Guirimand; Filippo Castiglione (Briefings Bioinform., 2024)

MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor. - Étienne Goffinet; Raghvendra Mall; Ankita Singh; Rahul Kaushik; Filippo Castiglione (CoRR, 2024)