Raghvendra Mall

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 34

Top Venues

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Raghvendra Mall, Ankita Singh, Chirag N. Patel, Gregory Guirimand, Filippo Castiglione
VISH-Pred: an ensemble of fine-tuned ESM models for protein toxicity prediction. Briefings Bioinform. 25 (4) (2024)
Étienne Goffinet, Raghvendra Mall, Ankita Singh, Rahul Kaushik, Filippo Castiglione
MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor. CoRR (2024)
Thomas Hartung, Jun Deng, Raghvendra Mall, Alejandro F. Frangi, Frank Emmert-Streib, Tuan D. Pham
Editorial: Insights in AI: Medicine and public health 2022. Frontiers Artif. Intell. 6 (2023)
Raghvendra Mall, Abdurrahman Elbasir, Hossam Almeer, Zeyaul Islam, Prasanna R. Kolatkar, Sanjay Chawla, Ehsan Ullah
A modeling framework for embedding-based predictions for compound-viral protein activity. Bioinform. 37 (17) (2021)
Heesoo Park, Adnan Ali, Raghvendra Mall, Halima Bensmail, Stefano Sanvito, Fedwa El-Mellouhi
Data-driven enhancement of cubic phase stability in mixed-cation perovskites. Mach. Learn. Sci. Technol. 2 (2) (2021)
Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla
Permutation-Invariant Subgraph Discovery. CoRR (2021)
Raghvendra Mall, Mohamad Saad, Jessica Roelands, Darawan Rinchai, Khalid Kunji, Hossam Almeer, Wouter Hendrickx, Francesco M. Marincola, Michele Ceccarelli, Davide Bedognetti
Network-based identification of key master regulators associated with an immune-silent cancer phenotype. Briefings Bioinform. 22 (6) (2021)
Abdurrahman Elbasir, Raghvendra Mall, Khalid Kunji, Reda Rawi, Zeyaul Islam, Gwo-Yu Chuang, Prasanna R. Kolatkar, Halima Bensmail
BCrystal: an interpretable sequence-based protein crystallization predictor. Bioinform. 36 (5) (2020)
Ignacio Perez-Pozuelo, Bing Zhai, João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Juan M. Garcia-Gomez, Shahrad Taheri, Yu Guan, Luis Fernández-Luque
The future of sleep health: a data-driven revolution in sleep science and medicine. npj Digit. Medicine 3 (2020)
Raghvendra Mall, Mridul Nagpal, Joni Salminen, Hind Almerekhi, Soon-Gyo Jung, Bernard J. Jansen
Four Types of Toxic People: Characterizing Online Users' Toxicity over Time. NordiCHI (2020)
João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Michael Rueschman, Meghna Singh, Aarti Sathyanarayana, Shahrad Taheri, Luis Fernández-Luque
Benchmark on a large cohort for sleep-wake classification with machine learning techniques. npj Digit. Medicine 2 (2019)
Abdurrahman Elbasir, Balasubramanian Moovarkumudalvan, Khalid Kunji, Prasanna R. Kolatkar, Raghvendra Mall, Halima Bensmail
DeepCrystal: a deep learning framework for sequence-based protein crystallization prediction. Bioinform. 35 (13) (2019)
Raghvendra Mall, Ehsan Ullah, Khalid Kunji, Michele Ceccarelli, Halima Bensmail
An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity. F1000Research 7 (2018)
Abdurrahman Elbasir, Balasubramanian Moovarkumudalvan, Khalid Kunji, Prasanna R. Kolatkar, Halima Bensmail, Raghvendra Mall
DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction. BIBM (2018)
Hossam Al Meer, Raghvendra Mall, Ehsan Ullah, Nasreddine Megrez, Halima Bensmail
ISaaC: Identifying Structural Relations in Biological Data with Copula-Based Kernel Dependency Measures. IWBBIO (1) (2018)
Reda Rawi, Raghvendra Mall, Khalid Kunji, Chen-Hsiang Shen, Peter D. Kwong, Gwo-Yu Chuang
PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine. Bioinform. 34 (7) (2018)
Sameer Khurana, Reda Rawi, Khalid Kunji, Gwo-Yu Chuang, Halima Bensmail, Raghvendra Mall
DeepSol: a deep learning framework for sequence-based protein solubility prediction. Bioinform. 34 (15) (2018)
Raghvendra Mall, Ehsan Ullah, Khalid Kunji, Halima Bensmail, Michele Ceccarelli
An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity. BIBM (2017)
Ehsan Ullah, Raghvendra Mall, Halima Bensmail, Reda Rawi, Saila Shama, Nooral Al Muftah, Ian Richard Thmpson
Identification of cancer drug sensitivity biomarkers. BIBM (2017)
Raghvendra Mall, Luigi Cerulo, Halima Bensmail, Antonio Iavarone, Michele Ceccarelli
Detection of statistically significant network changes in complex biological networks. BMC Syst. Biol. 11 (1) (2017)
Raghvendra Mall, Ehsan Ullah, Khalid Kunji, Fulvio D'Angelo, Halima Bensmail, Michele Ceccarelli
Differential Community Detection in Paired Biological Networks. BCB (2017)
Raghvendra Mall, Halima Bensmail, Rocco Langone, Carolina Varon, Johan A. K. Suykens
Denoised Kernel Spectral data Clustering. IJCNN (2016)
Raghvendra Mall, Laure Berti-Équille, Halima Bensmail
Metabolomic Data Profiling for Diabetes Research in Qatar. DEXA Workshops (2016)
Ehsan Ullah, Raghvendra Mall, Reda Rawi, Halima Bensmail
Statistical and Network Analysis of Metabolomics Data. BCB (2016)
Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens
Fast in-memory spectral clustering using a fixed-size approach. ESANN (2016)
Reda Rawi, Raghvendra Mall, Khalid Kunji, Mohammed El Anbari, Michaël Aupetit, Ehsan Ullah, Halima Bensmail
COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator. BMC Bioinform. 17 (2016)
Siamak Mehrkanoon, Carlos Alzate, Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 26 (4) (2015)
Raghvendra Mall, Johan A. K. Suykens
Very Sparse LSSVM Reductions for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 26 (5) (2015)
Mandar Chandorkar, Raghvendra Mall, Oliver Lauwers, Johan A. K. Suykens, Bart De Moor
Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification. SSCI (2015)
Raghvendra Mall, Johan A. K. Suykens
Kernel spectral document clustering using unsupervised precision-recall metrics. IJCNN (2015)
Rocco Langone, Raghvendra Mall, Carlos Alzate, Johan A. K. Suykens
Kernel Spectral Clustering and applications. CoRR (2015)
Siamak Mehrkanoon, Oscar Mauricio Agudelo, Raghvendra Mall, Johan A. K. Suykens
Hierarchical semi-supervised clustering using KSC based model. IJCNN (2015)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering. ESANN (2015)
Raghvendra Mall, Siamak Mehrkanoon, Johan A. K. Suykens
Identifying intervals for hierarchical clustering using the Gershgorin circle theorem. Pattern Recognit. Lett. 55 (2015)
Raghvendra Mall, Vilen Jumutc, Rocco Langone, Johan A. K. Suykens
Representative subsets for big data learning using k-NN graphs. IEEE BigData (2014)
Rocco Langone, Raghvendra Mall, Johan A. K. Suykens
Clustering data over time using kernel spectral clustering with memory. CIDM (2014)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks. CoRR (2014)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Agglomerative hierarchical kernel spectral data clustering. CIDM (2014)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Agglomerative hierarchical kernel spectral clustering for large scale networks. ESANN (2014)
Raghvendra Mall, Siamak Mehrkanoon, Rocco Langone, Johan A. K. Suykens
Optimal reduced sets for sparse kernel spectral clustering. IJCNN (2014)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Kernel Spectral Clustering for Big Data Networks. Entropy 15 (5) (2013)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Self-tuned kernel spectral clustering for large scale networks. IEEE BigData (2013)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Highly Sparse Reductions to Kernel Spectral Clustering. PReMI (2013)
Raghvendra Mall, Johan A. K. Suykens
Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data. PAKDD (1) (2013)
Rocco Langone, Raghvendra Mall, Johan A. K. Suykens
Soft kernel spectral clustering. IJCNN (2013)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
FURS: Fast and Unique Representative Subset selection retaining large-scale community structure. Soc. Netw. Anal. Min. 3 (4) (2013)
Raghvendra Mall, Johan A. K. Suykens, Mohammed El Anbari, Halima Bensmail
Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines. COMAD (2013)
Jean-Charles Lamirel, Pascal Cuxac, Raghvendra Mall, Ghada Safi
A New Efficient and Unbiased Approach for Clustering Quality Evaluation. PAKDD Workshops (2011)
Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac, Ghada Safi
Variations to incremental growing neural gas algorithm based on label maximization. IJCNN (2011)
Jean-Charles Lamirel, Raghvendra Mall, Shadi Al Shehabi, Ghada Safi
A New Label Maximization Based Incremental Neural Clustering Approach: Application to Text Clustering. WSOM (2011)
Jean-Charles Lamirel, Raghvendra Mall, Mumtaz Ahmad
Comparative Behaviour of Recent Incremental and Non-incremental Clustering Methods on Text: An Extended Study. IEA/AIE (1) (2011)
Raghvendra Mall, Nahil Jain, Vikram Pudi
Detecting Correlations between Hot Days in News Feeds. KDIR (2011)
Raghvendra Mall, Prakhar Jain, Vikram Pudi, Bipin Indurkiya
PERICASA. IEEE ICCI (2010)
Raghvendra Mall, Prakhar Jain, Vikram Pudi
PERFICT: Perturbed Frequent Itemset Based Classification Technique. ICTAI (1) (2010)
Raghvendra Mall, Neeraj Bagdia, Vikram Pudi
Variations and Trends in Hot Topics in News Feeds. COMAD (2009)

Raghvendra Mall.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Raghvendra Mall