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ORCIDRaghvendra Mall
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2020 – today
- 2024
[j18]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)- [c33]Hamda Alhosani, Raghvendra Mall, Ankita Singh, Filippo Castiglione:
FEATURE-pHLA: Physico-chemical features efficiently predict peptide-HLA binding affinity. BIBM 2024: 4-11 - [i5]Étienne Goffinet, Raghvendra Mall, Ankita Singh, Rahul Kaushik, Filippo Castiglione:
MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor. CoRR abs/2401.08619 (2024) - 2023
- [j17]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) - 2021
- [j16]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) - [j15]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): 2544-2555 (2021) - [j14]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): 25030 (2021) - [i4]Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla:
Permutation-Invariant Subgraph Discovery. CoRR abs/2104.01063 (2021) - 2020
- [j13]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): 1429-1438 (2020) - [j12]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) - [c32]Raghvendra Mall, Mridul Nagpal, Joni Salminen, Hind A. Al-Merekhi, Soon-Gyo Jung, Bernard J. Jansen:
Four Types of Toxic People: Characterizing Online Users' Toxicity over Time. NordiCHI 2020: 37:1-37:11
2010 – 2019
- 2019
- [j11]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): 2216-2225 (2019) - [j10]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) - 2018
- [j9]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): 1092-1098 (2018) - [j8]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): 2605-2613 (2018) - [c31]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: 2747-2749 - [c30]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: 71-82 - [i3]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: 378 (2018) - 2017
- [j7]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): 32:1-32:17 (2017) - [c29]Raghvendra Mall, Ehsan Ullah, Khalid Kunji, Fulvio D'Angelo, Halima Bensmail, Michele Ceccarelli:
Differential Community Detection in Paired Biological Networks. BCB 2017: 330-339 - [c28]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: 2282-2284 - [c27]Ehsan Ullah, Raghvendra Mall, Halima Bensmail, Reda Rawi, Saila Shama, Nooral Al Muftah, Ian Richard Thmpson:
Identification of cancer drug sensitivity biomarkers. BIBM 2017: 2322-2324 - 2016
- [j6]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: 533:1-533:9 (2016) - [c26]Ehsan Ullah, Raghvendra Mall, Reda Rawi, Halima Bensmail:
Statistical and Network Analysis of Metabolomics Data. BCB 2016: 544-545 - [c25]Raghvendra Mall, Laure Berti-Équille, Halima Bensmail:
Metabolomic Data Profiling for Diabetes Research in Qatar. DEXA Workshops 2016: 39-43 - [c24]Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens:
Fast in-memory spectral clustering using a fixed-size approach. ESANN 2016 - [c23]Raghvendra Mall, Halima Bensmail, Rocco Langone, Carolina Varon, Johan A. K. Suykens:
Denoised Kernel Spectral data Clustering. IJCNN 2016: 3709-3716 - 2015
- [b1]Raghvendra Mall:
Sparsity in Large Scale Kernel Models ; Sparsity in grootschalige Kernel modellen. Katholieke Universiteit Leuven, Belgium, 2015 - [j5]Raghvendra Mall, Siamak Mehrkanoon, Johan A. K. Suykens:
Identifying intervals for hierarchical clustering using the Gershgorin circle theorem. Pattern Recognit. Lett. 55: 1-7 (2015) - [j4]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): 720-733 (2015) - [j3]Raghvendra Mall, Johan A. K. Suykens:
Very Sparse LSSVM Reductions for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 26(5): 1086-1097 (2015) - [c22]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering. ESANN 2015 - [c21]Raghvendra Mall, Johan A. K. Suykens:
Kernel spectral document clustering using unsupervised precision-recall metrics. IJCNN 2015: 1-7 - [c20]Siamak Mehrkanoon, Oscar Mauricio Agudelo, Raghvendra Mall, Johan A. K. Suykens:
Hierarchical semi-supervised clustering using KSC based model. IJCNN 2015: 1-8 - [c19]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: 522-528 - [p1]Raghvendra Mall, Johan A. K. Suykens:
KSC-net: Community Detection for Big Data Networks. Big Data - Algorithms, Analytics, and Applications 2015: 157-174 - [i2]Rocco Langone, Raghvendra Mall, Carlos Alzate, Johan A. K. Suykens:
Kernel Spectral Clustering and applications. CoRR abs/1505.00477 (2015) - 2014
- [c18]Raghvendra Mall, Vilen Jumutc, Rocco Langone, Johan A. K. Suykens:
Representative subsets for big data learning using k-NN graphs. IEEE BigData 2014: 37-42 - [c17]Rocco Langone, Raghvendra Mall, Johan A. K. Suykens:
Clustering data over time using kernel spectral clustering with memory. CIDM 2014: 1-8 - [c16]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Agglomerative hierarchical kernel spectral data clustering. CIDM 2014: 9-16 - [c15]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Agglomerative hierarchical kernel spectral clustering for large scale networks. ESANN 2014 - [c14]Raghvendra Mall, Siamak Mehrkanoon, Rocco Langone, Johan A. K. Suykens:
Optimal reduced sets for sparse kernel spectral clustering. IJCNN 2014: 2436-2443 - [i1]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks. CoRR abs/1411.7640 (2014) - 2013
- [j2]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Kernel Spectral Clustering for Big Data Networks. Entropy 15(5): 1567-1586 (2013) - [j1]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): 1075-1095 (2013) - [c13]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Self-tuned kernel spectral clustering for large scale networks. IEEE BigData 2013: 385-393 - [c12]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: 105-108 - [c11]Rocco Langone, Raghvendra Mall, Johan A. K. Suykens:
Soft kernel spectral clustering. IJCNN 2013: 1-8 - [c10]Raghvendra Mall, Johan A. K. Suykens:
Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data. PAKDD (1) 2013: 161-173 - [c9]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Highly Sparse Reductions to Kernel Spectral Clustering. PReMI 2013: 163-169 - 2011
- [c8]Raghvendra Mall, Nahil Jain, Vikram Pudi:
Detecting Correlations between Hot Days in News Feeds. KDIR 2011: 375-378 - [c7]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: 19-28 - [c6]Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac, Ghada Safi:
Variations to incremental growing neural gas algorithm based on label maximization. IJCNN 2011: 956-965 - [c5]Jean-Charles Lamirel, Pascal Cuxac, Raghvendra Mall, Ghada Safi:
A New Efficient and Unbiased Approach for Clustering Quality Evaluation. PAKDD Workshops 2011: 209-220 - [c4]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: 257-266 - 2010
- [c3]Raghvendra Mall, Prakhar Jain, Vikram Pudi, Bipin Indurkhya:
PERICASA. IEEE ICCI 2010: 888-893 - [c2]Raghvendra Mall, Prakhar Jain, Vikram Pudi:
PERFICT: Perturbed Frequent Itemset Based Classification Technique. ICTAI (1) 2010: 79-86
2000 – 2009
- 2009
- [c1]Raghvendra Mall, Neeraj Bagdia, Vikram Pudi:
Variations and Trends in Hot Topics in News Feeds. COMAD 2009
Coauthor Index
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