Publications
Book Chapters:
Rocco Langone, Raghvendra Mall, Carlos Alzate and Johan A.K. Suykens, "Kernel Spectral Clustering and Applications", in Unsupervised Learning Algorithms, Springer 2016, pp. 135-161.
Raghvendra Mall, "Sparsity in Large Scale Kernel Models", Phd Dissertation, June 2015.
Raghvendra Mall and Johan A.K. Suykens, "KSC-net: Community Detection for Big Data Networks", in Big Data: Algorithms, Analytic and Applications, CRC Press, Chapman & Hall, 2015, pp. 157-174.
Rocco Langone, Raghvendra Mall, Joos Vandewalle and Johan A.K. Suykens, "Discovering Cluster Dynamics Using Kernel Spectral Methods", in Complex Systems and its Applications, Springer 2015, pp. 1-24.
Computational Immunology:
Balamurugan Sundaram, Nagakannan Pandian, Hee Jin Kim, Hadia M. Abdelaal, Raghvendra Mall, Omkar Indari, Roman Sarkar et al. "NLRC5 senses NAD+ depletion, forming a PANoptosome and driving PANoptosis and inflammation." Cell (2024).
Raghvendra Mall+, Ankita Singh, Chirag N. Patel, Gregory Guirimand, Filippo Castiglione. "VISH-Pred: an ensemble of ESM models for protein toxicity prediction". Briefings in Bioinformatics, 25.4 (2024).
Ratnakar R Bynigeri, RK Subbarao Malireddi, Raghvendra Mall, Jon P Connelly, Shondra M Pruett-Miller, Thirumala-Devi Kanneganti. "The protein phosphate PP6 promotes RIPK1-dependent PANoptosis". BMC Biology 22.1, 122, (2024).
Joo-Hui Han, Rajendra Karki, R.K.S. Malireddi, Raghvendra Mall, et al. "NINJ1 mediates inflammatory cell death, PANoptosis, and lethality during infection conditions and heat stress". Nature Communications 15, 1739 (2024)
Mike Mason, Óscar Lapuente-Santana, Anni S. Halkola, Wenyu Wang, Raghvendra Mall, Xu Xiao, Jacob Kaufman et al. "A community challenge to predict clinical outcomes after immune checkpoint blockade in non-small cell lung cancer." Journal of Translational Medicine 22, no. 1 (2024): 1-16.
Raghvendra Mall and Thirumala-Devi KannegantI. "Comparative Analysis Identifies Genetic and Molecular Factors associated with Prognostic Clusters of PANoptosis in Glioma, Kidney and Melanoma Cancer". Nature Scientific Reports, 2023.
Mahesh Jethalia, Siddhi P. Jani, Michele Ceccarelli, Raghvendra Mall+. "Pancancer Network Analysis Reveals Key Master Regulators For Cancer Invasiveness". JTRM (2023).
Balamurugan Sundaram*, Nagakannan Pandian*, Raghvendra Mall, Yaqiu Wang, Roman Sarkar, Hee Jin Kim, RK Subbarao Malireddi et al. "NLRP12-PANoptosome activates PANoptosis and pathology in response to heme and PAMPs." Cell (2023).
Malireddi, RK Subbarao*, Ratnakar R. Bynigeri*, Raghvendra Mall, Eswar Kumar Nadendla, Jon P. Connelly, Shondra M. Pruett-Miller, and Thirumala-Devi Kanneganti. "Whole-genome CRISPR screen identifies RAVER1 regulates RIPK1-mediated inflammatory cell death, PANoptosis." iScience (2023).
Roelands, Jessica, Peter JK Kuppen, Eiman I. Ahmed, Raghvendra Mall, Tariq Masoodi, Parul Singh, Gianni Monaco et al. "An integrated tumor, immune and microbiome atlas of colon cancer." Nature Medicine (2023): 1-14.
Chirag N. Patel, Raghvendra Mall+, Halima Bensmail+. "AI-driven drug repurposing and binding pose meta dynamics identifies novel targets for monkeypox virus", Journal of Infection and Public Health, Volume 16, Issue 5, Pages 799-807, 2023.
Raghvendra Mall, Ratnakar R Bynigeri, Rajendra Karki, RK Subbarao Mallireddi, Bhesh Raj Sharma, Thirumala-Devi Kanneganti. "Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology", NAR Cancer, Volume 4, Issue 4, 2022, zcac033, https://doi.org/10.1093/narcan/zcac033
Raghvendra Mall*, Shimaa Sherif*, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx, Julie Decock. "Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting", Journal of Translational Medicine 20(442), 2022, 10.1186/s12967-022-03654-7
Rajendra Karki*, Sangjoon Lee*, Raghvendra Mall, Nagakannan Pandian, Yaqiu Wang, Bhesh Raj Sharma, RK Subbarao Mallireddi, .., and Thirumala-Devi Kanneganti. "ZBP1-dependent inflammatory cell death, PANoptosis, and cytokine storm disrupt IFN therapeutic efficacy during coronavirus infection", Science Immunology, 2022, 10.1126/sciimunol.abo6294
Yaqiu Wang, Rajendra Karki, Raghvendra Mall, Bhesh Raj Sharma, Ravi C. Kalathur, Sangjoon Lee, Balabhaskararao Kancharana, Matthew So, Katie L. Combs and Thirumala-Devi Kanneganti. "Molecular mechanism of RIPK1 and caspase-8 in homeostatic type I interferon production and regulation", Cell Reports, 2022, https://doi.org/10.1016/j.celrep.2022.111434.
Claudio Vernieri, Giovanni Fuca, ..., Raghvendra Mall, ..., Davide Bedognetti, Licia Rivoltini and Filippo de Braud. "Fasting-mimicking diet is safe and reshapes metabolism and antitumor immunity in cancer patients", Cancer Discovery, 2021; 10.1158/2159-8290.CD-21-0030
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 in Bioinformatics, 2021; bbab168, https://doi.org/10.1093/bib/bbab168
Jessica Roelands, Wouter Hendrickx, Gabriele Zoppoli, Raghvendra Mall, Mohamad Saad, Kyle Halliwill, Giuseppe Curigliano, Darawan Rinchai, Julie Decock, Lucia G Delogu, Tolga Turan, Josue Samayoa, Lotfi Chouchane, Alberto Ballestrero, Ena Wang, Pascal Finetti, Francois Bertucci, Lance D Miller, Jerome Galon, Francesco M Marincola, Peter JK Kuppen, Michele Ceccarelli, Davide Bedognetti, "Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response", Journal for Immunotherapy of Cancer, (2020), 8(1): e000617.
Computational Biology and Bioinformatics:
Raghvendra Mall*, Fayaz A. Mir*, Ehsan Ullah*, Ahmad Iskandarani, Farhan Cyprian, Tareq A. Samra, Meis Alkasem, Ibrahem Abdalhakam, Faisal Farooq, Shahrad Taheri, and Abdul-Badi Abou Samra. "An integrated multi‑omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case-control study", Journal of Translational Medicine, doi: https://doi.org/10.1186/s12967-023-04074-x
Raghvendra Mall*, Fayaz A. Mir*, Ahmad N. Iskandarani, Ehsan Ullah, Tareq A. Samra, Farhan S. Cyprian, Aeijaz S. Parray, Alkasem Meis, Ibrahem Abdalhakam, Faisal Farooq and Abdul-Badi Abou-Samra, "Characteristic MicroRNAs linked to dysregulated metabolic pathways in Qatari adult subjects with obesity and metabolic syndrome", Frontiers in Endocrinology, doi: 10.3389/fendo.2022.937089 .
Fayaz Ahmad Mir*, Ehsan Ullah*, Raghvendra Mall, Ahmad Iskandarani, Tareq A. Samra, Farhan Cyprian, Aijaz Parray, Meis Alkasem, Ibrahem Abdalhakam, Faisal Farooq, and Abdul-Badi Abou-Samra. 2022. "Dysregulated Metabolic Pathways in Subjects with Obesity and Metabolic Syndrome" International Journal of Molecular Sciences 23, no. 17: 9821. https://doi.org/10.3390/ijms23179821
Raghvendra Mall+, Abdurrahman Elbasir, Hossam Almeer, Zeyaul Islam, Prasanna R Kolatkar, Sanjay Chawla and Ehsan Ullah. "A Modelling Framework for Embedding-based Predictions for Compound-Viral Protein Activity", Bioinformatics, 2021, btab130.
Jessica Roelands, Raghvendra Mall, Hossam Almeer, Remy Thomas, Mahmoud G. Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Elad Ziv, Rosalyn Sayaman, Davide Bedognetti, Wouter Hendrickx and Julie Decock. "Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab and European ancestry", NPJ Breast Cancer 7, no. 1(2021);1-14.
Zeyaul Islam, Mohamed H. Ali, Anton Popelka, Raghvendra Mall, Ehsan Ullah, Janarthanan Ponraj, and Prasanna R. Kolatkar, "Probing the fibrillation of lysozyme by nanoscale infrared spectroscopy", Journal of Biomolecular Structure and Dynamics, (2020): 1-16.
Abdurrahman Elbasir, Raghvendra Mall+, Khalid Kunji, Reda Rawi, Zeyaul Islam, Gwo-Yu Chuang, Prasanna R. Kolatkar and Halima Bensmail, "BCrystal: An Interpretable Sequence-Based Protein Crystallization Predictor", Bioinformatics, btz762, https://doi.org/10.1093/bioinformatics/btz762, 2020.
Reda Rawi, Raghvendra Mall, Chen-Hsiang Shen, S. Katie Farney, Andrea Shiakolas, Jing Zhou, Halima Bensamil, Tae-Wook Chun, Nicole A. Doria-Rose, Rebecca M. Lynch, John R. Mascola, Peter D. Kwong and Gwo-Yu Chuang, "Accurate prediction of antibody resistance in clinical HIV-1 isolates", Scientific Reports, Vol. 9:14696, 2019.
Sarvenaz Choobdar, Mehmet E. Ahsen, ..., The DREAM Module Identification Challenge Consortium, ..., Daniel Marbach, "Assessment of network module identification across complex diseases", Nature Methods, 843-852, Vol. 16, Issue no. 9, 2019.
Ehsan Ullah*, Raghvendra Mall*, Mostafa M. Abbas*, Khalid Kunji*, Alejandro Q. Nato Jr., Halima Bensmail, Ellen M. Wisjman and Mohamad Saad, "Comparison and assessment of family- and population-based genotype imputation methods in large pedigrees", Genome Research, 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", Bioinformatics, bty953, 2018.
Mohamed Ali, Fazle Rakib, Essam M. Abdelalim, Raghvendra Mall, Ehsan Ullah, Nasrin Masaeli, Donald McNaughton, Tariq Ahmed, Khalid Al-Saad and Andreas Limbeck, "Fourier-Transform Infrared Imaging spectroscopy and Laser ablation - ICMPS new vistas for biochemical analyses of ischemic stroke in rat brain", Frontiers in Neuroscience, 2018.
Sameer Khurana, Reda Rawi, Khalid Kunji, Gwo-Yu Chuang, Halima Bensmail and Raghvendra Mall+, "DeepSol: A Deep Learning Framework for Sequence-Based Protein Solubility Prediction", Bioinformatics, bty166, 2018.
Raghvendra Mall+, Luigi Cerulo, Luciano Garofano, Veronique Frattini, Khalid Kunji, Halima Bensmail, Thais Sabedot, Houtan Noushmehr, Anna Lasorella, Antonio Iavarone and Michele Ceccarelli, "RGBM: Regularized Gradient Boosting Machines for Identification of The Transcriptional Regulators of Discrete Glioma Subtypes", published in Nucleic Acids Research, gky015, 2018.
Veronique Frattini, Stefano M. Pagnotta, ..., Raghvendra Mall, ..., Michele Ceccarelli, Anna Lasorella and Antonio Iavarone, "A metabolic function associated with FGFR3-TACC3 gene fusions", published in Nature, 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", Bioinformatics, btx662, 2017.
Raghvendra Mall+, Ehsan Ullah, Khalid Kunji, Fulvio D'Angelo, Halima Bensmail and Michele Ceccarelli, "Differential Community Detection for paired biological networks", published in Proceedings of ACM-BCB, Boston, 2017.
Raghvendra Mall+, Luigi Cerulo, Halima Bensmail, Antonio Iavarone and Michele Ceccarelli, "Detection of statistically significant network changes in complex biological networks", BMC Systems Biology, 11:32, 2017.
Reda Rawi, Raghvendra Mall, Khalid Kunji, Mohammed El Anbari, Michael Aupetit, Ehsan Ullah and Halima Bensmail, "COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator", BMC Bioinformatics, 17:533, 2016.
Health Informatics:
Mostafa Abbas, Raghvendra Mall., Khaoula Errafii, Abdelkader Lattab, Ehsan Ullah, Halima Bensmail and Abdelilah Arredouani. "PRISQ: a simple risk score to screen for prediabetes: a cross‐sectional study from the Qatar Biobank Cohort". Journal of Diabetes Investigation (2020). doi:10.1111/jdi.13445
Tarik Elhadd*, Raghvendra Mall*, Mohamed Bashir, Joao Palotti, Luis Fernandez-Luque, Faisal Farooq, Dabia Al Mohanadi, Zainab Dabbous, Rayaz A Malik and Abdul Badi Abou-Samra, "Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST – IT Ramadan study)", Diabetes Research and Clinical Practice (2020), vol 169 (108388).
Ignacio Perez-Pozuelo, Bing Zhai, Joao Palotti, Raghvendra Mall, Michaël Aupetit, Juan M Garcia-Gomez, Shahrad Taheri, Yu Guan, Luis Fernandez-Luque, "The future of sleep health: a data-driven revolution in sleep science and medicine", npj Digital Medicine, (2020), 3:42.
Joao Palotti, Raghvendra Mall, Michael Aupetit, Michael Rueschman, Meghna Singh, Aarti Sathyanarayana, Shahrad Taheri, and Luis Fernandez-Luque, "Benchmark on a large cohort for sleep-wake classification with machine learning techniques." npj Digital Medicine 2, no. 1 (2019): 50.
Raghvendra Mall*, Ehsan Ullah*, Reda Rawi, Naima M Moustaid, Adeel A Butt and Halima Bensmail, "Harnessing Qatar Biobank to Understand Type 2 Diabetes and Obesity in Adult Qataris from First Qatar Biobank Project", Journal of Translational Medicine, 16:09, 2018.
Raghvendra Mall, Reda Rawi et al, "Application of High-Dimensional Statistics and Network based Visualization techniques on Arab Diabetes and Obesity Data", Journal of Health and Medical Informatics, 8:2, pages 1-11, 2017.
Ehsan Ullah, Raghvendra Mall, Reda Rawi and Halima Bensmail, "Statistical and Network Analysis of Metabolomics Data", in CNB-MAC Workshop at ACM-BCB, 2016.
Raghvendra Mall, Laure Berti and Halima Bensmail, "Metabolomic Data Profiling to Diabetes Research in Qatar", Bio-KDD Workshop at DEXA 2016.
Here '*' represents equally contributing authors and '+' represents the corresponding author.
Material Sciences:
Heesoo Park, Adnan Ali, Raghvendra Mall, Halima Bensmail, Stefano Sanvito and Fadwa El-Mellouhi. "Data-driven Enhancement of Cubic Phase Stability in Mixed-Cation Perovskites", Machine Learning: Science and Technology, 2021.
Heesoo Park, Raghvendra Mall, Adnan Ali, Stefano Sanvito, Halima Bensmail, Fedwa El-Mellouhi, "Importance of structural deformation features in the prediction of hybrid perovskite bandgaps", Computational Materials Science 184 (2020): 109858.
Adnan Ali, Heesoo Park, Raghvendra Mall, Brahim Aïssa, Stefano Sanvito, Halima Bensmail, Abdelhak Belaidi, and Fedwa El-Mellouhi. "Machine-Learning-Accelerated Recovery of the Cubic Structure in Mixed Cation Perovskite Thin Films", Chemistry of Materials (2020).
Heesoo Park, Raghvendra Mall, Fahhad H. Alharbi, Stefano Sanvinto, Nouar Tabet, Halima Bensmail and Fadwa El-Mellouhi, "Learn-and-Match Molecular Cations for Perovskites", Journal of Physical Chemistry A, 123:33, 7323-7334, 2019.
Heesoo Park, Raghvendra Mall, Fahhad H. Alharbi, Stefano Sanvinto, Nouar Tabet, Halima Bensmail and Fadwa El-Mellouhi, "Exploring New Approaches towards the Formability of Mixed-Ion Perovskite by DFT and Machine Learning", Physical Chemistry Chemical Physics, 2018.
Data Visualization:
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Netgram: Visualizing Communities in Evolving Networks", PloS One, e0137502, vol 10, no. 9, Sep. 2015.
Adrian Baland, Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Visualization of Hierarchical Communities in Large Scale Networks", IEEE VIS, pp. 1-2, 2015.
Sparse Kernel Methods for Classification:
Raghvendra Mall and Johan A.K. Suykens, "Very Sparse LSSVM Reductions for Large Scale Data", IEEE TNNLS, vol 6, no 25, pp. 1086-1097, 2015.
Raghvendra Mall, Mohammed El Anbari, Halima Bensmail and Johan A.K. Suykens, "Primal-Dual Framerwork for Feature Selection Using Least Squares Support Vector Machines", COMAD 2013, India (Acceptance Rate = 30%).
Raghvendra Mall and Johan A.K. Suykens, "Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data", PAKDD 2013, GoldCoast Australia (Acceptance Rate = 17.15%, Full Paper).
Mandar Chandorkar, Raghvendra Mall, Oliver Lauwers, Johan A.K. Suykens and Bart De Moor, "Fixed-Size Least Squares Support Vector Machines:Scala Implementation for Large Scale Classification", IEEE SSCI CIBD, 2015.
Hierarchical Kernel Spectral Clustering Methods:
Raghvendra Mall, Siamak Mehrkanoon and Johan A.K. Suykens, "Identifying Intervals for Hierarchical Clustering using the Gershgorin Circle Theorem", Pattern Recognition Letters, vol 55, pp. 1-7, 2015.
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks", PloS One, e99966, vol 9, no. 6, June 2014.
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Agglomerative Hierarchical Kernel Spectral Clustering for Large Scale Networks", ESANN 2014, Brugges.
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Agglomerative Hierarchical Kernel Spectral Data Clustering", IEEE SSCI CIDM 2014, Orlando, USA.
Raghvendra Mall, Siamak Mehrkanoon, Rocco Langone and Johan A.K. Suykens, "Optimal Reduced Sets for Sparse Kernel Spectral Clustering", IJCNN 2014, Beijing, China (Acceptance Rate = 30%).
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Highly Sparse Reductions to Kernel Spectral Clustering", PREMI 2013, Kolkata, India (Acceptance Rate = 30%).
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering", ESANN 2015, Brugges.
Raghvendra Mall and Johan A.K. Suykens, "Kernel Spectral Document Clustering Using Unsupervised Precision-Recall Metrics", IJCNN 2015, Killarney, Ireland.
Kernel Spectral Clustering for Large Data:
Raghvendra Mall, Halima Bensmail, Rocco Langone, Carolina Varon and Johan A.K. Suykens, "Denoised Kernel Spectral Data Clustering", IJCNN 2016, Vancouver, Canda.
Rocco Langone, Raghvendra Mall, Vilen Jumutcs and Johan A.K. Suykens, "Fast-in memory spectral clustering using a fixed-size approach", ESANN 2016, Brugges, Belgium.
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Self-Tuned Kernel Spectral Clustering for Large Scale Networks", IEEE BigData, 2013, California, USA (Acceptance Rate = 17.37%).
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Kernel Spectral Clustering for Big Data Networks", Entropy, Special Issue: Big Data, Vol 13, No: 5, pp. 1567-1586, 2013.
Sampling Techniques for Big Data Learning:
Raghvendra Mall, Vilen Jumucs, Rocco Langone and Johan A.K. Suykens, "Representative Subsets for Big Data Learning using k-NN Graphs", IEEE BigData, Washington D.C., USA (Acceptance Rate = 20%).
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "FURS: Fast and Unique Representative Subset selection retaining Large Scale Community Structure", Social Network Analysis and Mining, Vol. 3, No. 4, pp. 1075-1095, 2013.
Miscellaneous (During Doctoral Studies):
Siamak Mehrkanoon, Mauricio Agudelo, Raghvendra Mall and Johan A. K. Suykens, "Hierarchical Semi-Supervised Clustering using KSC based model", IJCNN 2015, Killarney, Ireland.
Rocco Langone, Raghvendra Mall and Johan A.K. Suykens, "Clustering Data over Time using Kernel Spectral Clustering with Memory", IEEE SSCI CIDM 2014, Orlando, USA.
Siamak Mehrkanoon, Carlos Alzate, Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Multiclass Semi-supervised Learning based upon Kernel Spectral Clustering", IEEE TNNLS, vol 6, no. 99, pp. 1-14, 2014.
Rocco Langone, Raghvendra Mall and Johan A.K. Suykens, "Soft Kernel Spectral Clustering", IJCNN 2013, Dallas, USA.
Hot Topic Analysis from News Feeds:
Raghvendra Mall, Nahil Jain and Vikram Pudi, "Detecting Correlations between Hot Days in News Feeds", KDIR 2011, Paris, France.
Raghvendra Mall, Neeraj Bagdia and Virkam Pudi, "Variations and Trends in Hot Topics in News Feeds", COMAD 2009, Mysore, India.
Incremental GNG based Document Clustering Method:
Jean-Charles Lamirel, Raghvendra Mall and Mumtaz Ahmad, "Comparitive Behaviour of Recent Incremental and Non-incremental Clustering Methods on Text: An Extended Study", IEA/AIE 2011, USA.
Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac and Ghada Safi, "Variations to Incremental Growing Neural Gas Algorithm based on Label Maximization", IJCNN 2011, USA.
Jean-Charles Lamirel, Raghvendra Mall, Shadi Al Shehabi and Ghada Safi, "A New Label Maximization based Incremental Neural Clustering Approach: Application to Text Clustering", WSOM 2011, Espoo, Finland.
Jean-Charles Lamirel, Pascal Cuxac, Raghvendra Mall and Ghada Safi, "A New Efficient and Unbiased Approach for Clustering Quality Evaluation", PAKDD Workshops 2011, Australia.
Master Thesis:
Raghvendra Mall, Prakhar Jain and Vikram Pudi, "PERFICT: Perturbed Frequqent Itemset Based Classification Technique", ICTAI 2010, Arras, France.
Raghvendra Mall, Prakhar Jain, Vikram Pudi and Bipin Indurkiya, "PERICASA", ICCI 2010, China.
Presentations:
"Agglomerative Hierarchical Kernel Spectral Data Clustering", IEEE SSCI CIDM, 2014.
"Representative Subsets for Big Data Learning using k-NN Graphs", IEEE BigData, 2014.
"Optimal Reduced Sets for Sparse Kernel Spectral Clustering", IJCNN 2014.
"Agglomerative Hierarchical Kernel Spectral Clustering for Complex Networks", Extended version of ESANN 2014.
"Highly Sparse Reductions to Kernel Spectral Clustering", PREMI 2013.
"Priaml-Dual Framework for Feature Selection using Least Squares Support Vector Machines", COMAD 2013.
"Self-Tuned Kernel Spectral Clustering for Large Scale Networks", IEEE BigData 2013.
"Sparse Reductions to Fixed-Size Least Squares Support Vector Machines on Large Scale Data", PAKDD 2013.