Raghvendra Mall

60 papers B 9C 2Misc 3Journal 24Unranked 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
CASPER: Cross-modal Alignment of Spatial and single-cell Profiles for Expression Recovery.
CoRR
Amit Kumar, Maninder Kaur, Raghvendra Mall, Sukrit Gupta
2025 — conf
PRESTIGE-ST: Patch Resolution and Encoder STrategies for Inference of Gene Expression from Spatial Transcriptomics.
MCHM@MM
Maninder Kaur, Amit Kumar, Michele Ceccarelli, Raghvendra Mall, Sukrit Gupta
2024 — conf
FEATURE-pHLA: Physico-chemical features efficiently predict peptide-HLA binding affinity.
BIBM
Hamda Alhosani, Raghvendra Mall, Ankita Singh, Filippo Castiglione
2024 J jnl
MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor.
CoRR
Étienne Goffinet, Raghvendra Mall, Ankita Singh, Rahul Kaushik, Filippo Castiglione
2024 J jnl
VISH-Pred: an ensemble of fine-tuned ESM models for protein toxicity prediction.
Briefings Bioinform.
Raghvendra Mall, Ankita Singh, Chirag N. Patel, Gregory Guirimand, Filippo Castiglione
2023 J jnl
Editorial: Insights in AI: Medicine and public health 2022.
Frontiers Artif. Intell.
Thomas Hartung, Jun Deng, Raghvendra Mall, Alejandro F. Frangi, Frank Emmert-Streib, Tuan D. Pham
2021 J jnl
A modeling framework for embedding-based predictions for compound-viral protein activity.
Bioinform.
Raghvendra Mall, Abdurrahman Elbasir, Hossam Almeer, Zeyaul Islam, Prasanna R. Kolatkar, Sanjay Chawla, Ehsan Ullah
2021 J jnl
Data-driven enhancement of cubic phase stability in mixed-cation perovskites.
Mach. Learn. Sci. Technol.
Heesoo Park, Adnan Ali, Raghvendra Mall, Halima Bensmail, Stefano Sanvito, Fedwa El-Mellouhi
2021 J jnl
Network-based identification of key master regulators associated with an immune-silent cancer phenotype.
Briefings Bioinform.
Raghvendra Mall, Mohamad Saad, Jessica Roelands, Darawan Rinchai, Khalid Kunji, Hossam Almeer, Wouter Hendrickx, Francesco M. Marincola, Michele Ceccarelli, Davide Bedognetti
2021 J jnl
Permutation-Invariant Subgraph Discovery.
CoRR
Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla
2020 J jnl
BCrystal: an interpretable sequence-based protein crystallization predictor.
Bioinform.
Abdurrahman Elbasir, Raghvendra Mall, Khalid Kunji, Reda Rawi, Zeyaul Islam, Gwo-Yu Chuang, Prasanna R. Kolatkar, Halima Bensmail
2020 Misc conf
Four Types of Toxic People: Characterizing Online Users' Toxicity over Time.
NordiCHI
Raghvendra Mall, Mridul Nagpal, Joni Salminen, Hind A. Al-Merekhi, Soon-Gyo Jung, Bernard J. Jansen
2020 J jnl
The future of sleep health: a data-driven revolution in sleep science and medicine.
npj Digit. Medicine
Ignacio Perez-Pozuelo, Bing Zhai, João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Juan Miguel García-Gómez, Shahrad Taheri, Yu Guan, Luis Fernández-Luque
2019 J jnl
Benchmark on a large cohort for sleep-wake classification with machine learning techniques.
npj Digit. Medicine
João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Michael Rueschman, Meghna Singh, Aarti Sathyanarayana, Shahrad Taheri, Luis Fernández-Luque
2019 J jnl
DeepCrystal: a deep learning framework for sequence-based protein crystallization prediction.
Bioinform.
Abdurrahman Elbasir, Balasubramanian Moovarkumudalvan, Khalid Kunji, Prasanna R. Kolatkar, Raghvendra Mall, Halima Bensmail
2018 J jnl
An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity.
F1000Research
Raghvendra Mall, Ehsan Ullah, Khalid Kunji, Michele Ceccarelli, Halima Bensmail
2018 — conf
DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction.
BIBM
Abdurrahman Elbasir, Balasubramanian Moovarkumudalvan, Khalid Kunji, Prasanna R. Kolatkar, Halima Bensmail, Raghvendra Mall
2018 J jnl
DeepSol: a deep learning framework for sequence-based protein solubility prediction.
Bioinform.
Sameer Khurana, Reda Rawi, Khalid Kunji, Gwo-Yu Chuang, Halima Bensmail, Raghvendra Mall
2018 — conf
ISaaC: Identifying Structural Relations in Biological Data with Copula-Based Kernel Dependency Measures.
IWBBIO (1)
Hossam Al Meer, Raghvendra Mall, Ehsan Ullah, Nasreddine Megrez, Halima Bensmail
2018 J jnl
PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine.
Bioinform.
Reda Rawi, Raghvendra Mall, Khalid Kunji, Chen-Hsiang Shen, Peter D. Kwong, Gwo-Yu Chuang
2017 — conf
An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity.
BIBM
Raghvendra Mall, Ehsan Ullah, Khalid Kunji, Halima Bensmail, Michele Ceccarelli
2017 J jnl
Detection of statistically significant network changes in complex biological networks.
BMC Syst. Biol.
Raghvendra Mall, Luigi Cerulo, Halima Bensmail, Antonio Iavarone, Michele Ceccarelli
2017 — conf
Differential Community Detection in Paired Biological Networks.
BCB
Raghvendra Mall, Ehsan Ullah, Khalid Kunji, Fulvio D'Angelo, Halima Bensmail, Michele Ceccarelli
2017 — conf
Identification of cancer drug sensitivity biomarkers.
BIBM
Ehsan Ullah, Raghvendra Mall, Halima Bensmail, Reda Rawi, Saila Shama, Nooral Al Muftah, Ian Richard Thmpson
2016 J jnl
COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator.
BMC Bioinform.
Reda Rawi, Raghvendra Mall, Khalid Kunji, Mohammed El Anbari, Michaël Aupetit, Ehsan Ullah, Halima Bensmail
2016 B conf
Denoised Kernel Spectral data Clustering.
IJCNN
Raghvendra Mall, Halima Bensmail, Rocco Langone, Carolina Varon, Johan A. K. Suykens
2016 B conf
Fast in-memory spectral clustering using a fixed-size approach.
ESANN
Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens
2016 — conf
Metabolomic Data Profiling for Diabetes Research in Qatar.
DEXA Workshops
Raghvendra Mall, Laure Berti-Équille, Halima Bensmail
2016 — conf
Statistical and Network Analysis of Metabolomics Data.
BCB
Ehsan Ullah, Raghvendra Mall, Reda Rawi, Halima Bensmail
2015 — conf
Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification.
SSCI
Mandar Chandorkar, Raghvendra Mall, Oliver Lauwers, Johan A. K. Suykens, Bart De Moor
2015 B conf
Hierarchical semi-supervised clustering using KSC based model.
IJCNN
Siamak Mehrkanoon, Oscar Mauricio Agudelo, Raghvendra Mall, Johan A. K. Suykens
2015 J jnl
Identifying intervals for hierarchical clustering using the Gershgorin circle theorem.
Pattern Recognit. Lett.
Raghvendra Mall, Siamak Mehrkanoon, Johan A. K. Suykens
2015 — ch.
KSC-net: Community Detection for Big Data Networks.
Big Data - Algorithms, Analytics, and Applications
Raghvendra Mall, Johan A. K. Suykens
2015 J jnl
Kernel Spectral Clustering and applications.
CoRR
Rocco Langone, Raghvendra Mall, Carlos Alzate, Johan A. K. Suykens
2015 B conf
Kernel spectral document clustering using unsupervised precision-recall metrics.
IJCNN
Raghvendra Mall, Johan A. K. Suykens
2015 J jnl
Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Siamak Mehrkanoon, Carlos Alzate, Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2015 B conf
Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering.
ESANN
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2015 — —
Sparsity in Large Scale Kernel Models ; Sparsity in grootschalige Kernel modellen.
Raghvendra Mall
2015 J jnl
Very Sparse LSSVM Reductions for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Raghvendra Mall, Johan A. K. Suykens
2014 B conf
Agglomerative hierarchical kernel spectral clustering for large scale networks.
ESANN
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2014 C conf
Agglomerative hierarchical kernel spectral data clustering.
CIDM
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2014 C conf
Clustering data over time using kernel spectral clustering with memory.
CIDM
Rocco Langone, Raghvendra Mall, Johan A. K. Suykens
2014 J jnl
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks.
CoRR
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2014 B conf
Optimal reduced sets for sparse kernel spectral clustering.
IJCNN
Raghvendra Mall, Siamak Mehrkanoon, Rocco Langone, Johan A. K. Suykens
2014 — conf
Representative subsets for big data learning using k-NN graphs.
IEEE BigData
Raghvendra Mall, Vilen Jumutc, Rocco Langone, Johan A. K. Suykens
2013 J jnl
FURS: Fast and Unique Representative Subset selection retaining large-scale community structure.
Soc. Netw. Anal. Min.
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2013 — conf
Highly Sparse Reductions to Kernel Spectral Clustering.
PReMI
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2013 J jnl
Kernel Spectral Clustering for Big Data Networks.
Entropy
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2013 Misc conf
Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines.
COMAD
Raghvendra Mall, Johan A. K. Suykens, Mohammed El Anbari, Halima Bensmail
2013 — conf
Self-tuned kernel spectral clustering for large scale networks.
IEEE BigData
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2013 B conf
Soft kernel spectral clustering.
IJCNN
Rocco Langone, Raghvendra Mall, Johan A. K. Suykens
2013 — conf
Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data.
PAKDD (1)
Raghvendra Mall, Johan A. K. Suykens
2011 — conf
A New Efficient and Unbiased Approach for Clustering Quality Evaluation.
PAKDD Workshops
Jean-Charles Lamirel, Pascal Cuxac, Raghvendra Mall, Ghada Safi
2011 — conf
A New Label Maximization Based Incremental Neural Clustering Approach: Application to Text Clustering.
WSOM
Jean-Charles Lamirel, Raghvendra Mall, Shadi Al Shehabi, Ghada Safi
2011 — conf
Comparative Behaviour of Recent Incremental and Non-incremental Clustering Methods on Text: An Extended Study.
IEA/AIE (1)
Jean-Charles Lamirel, Raghvendra Mall, Mumtaz Ahmad
2011 — conf
Detecting Correlations between Hot Days in News Feeds.
KDIR
Raghvendra Mall, Nahil Jain, Vikram Pudi
2011 B conf
Variations to incremental growing neural gas algorithm based on label maximization.
IJCNN
Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac, Ghada Safi
2010 — conf
PERFICT: Perturbed Frequent Itemset Based Classification Technique.
ICTAI (1)
Raghvendra Mall, Prakhar Jain, Vikram Pudi
2010 — conf
PERICASA.
IEEE ICCI
Raghvendra Mall, Prakhar Jain, Vikram Pudi, Bipin Indurkhya
2009 Misc conf
Variations and Trends in Hot Topics in News Feeds.
COMAD
Raghvendra Mall, Neeraj Bagdia, Vikram Pudi