Raghvendra Mall

发表

Variations and Trends in Hot Topics in News Feeds

Vikram Pudi, Raghvendra Mall, Neeraj Bagdia, 2009, COMAD.

KSC-net: Community Detection for Big Data Networks

Johan A. K. Suykens, Raghvendra Mall, 2015, Big Data - Algorithms, Analytics, and Applications.

Visualization of Hierarchical Communities in Large Scale Networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015 .

Agglomerative hierarchical kernel spectral clustering for large scale networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, ESANN.

PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine

Raghvendra Mall, Khalid Kunji, Gwo-Yu Chuang, 2018, Bioinform..

Netgram: Visualizing Communities in Evolving Networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015, PloS one.

Differential Community Detection in Paired Biological Networks

Raghvendra Mall, Halima Bensmail, Ehsan Ullah, 2017 .

Kernel spectral document clustering using unsupervised precision-recall metrics

Johan A. K. Suykens, Raghvendra Mall, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity

Ehsan Ullah, Raghvendra Mall, Michele Ceccarelli, 2018, F1000Research.

Self-tuned kernel spectral clustering for large scale networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, 2013 IEEE International Conference on Big Data.

FURS: Fast and Unique Representative Subset selection retaining large-scale community structure

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, Social Network Analysis and Mining.

DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction

Raghvendra Mall, Khalid Kunji, Halima Bensmail, 2018, BIBM.

Hierarchical semi-supervised clustering using KSC based model

Johan A. K. Suykens, Raghvendra Mall, Siamak Mehrkanoon, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification

Johan A. K. Suykens, Bart De Moor, Raghvendra Mall, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity

Ehsan Ullah, Raghvendra Mall, Michele Ceccarelli, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Very Sparse LSSVM Reductions for Large-Scale Data

Johan A. K. Suykens, Raghvendra Mall, J. Suykens, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Differential Community Detection in Paired Biological Networks

Raghvendra Mall, Khalid Kunji, Halima Bensmail, 2017, bioRxiv.

Identifying intervals for hierarchical clustering using the Gershgorin circle theorem

Johan A. K. Suykens, Raghvendra Mall, Siamak Mehrkanoon, 2015, Pattern Recognit. Lett..

Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data

Johan A. K. Suykens, Raghvendra Mall, 2013, PAKDD.

Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines

Johan A. K. Suykens, Raghvendra Mall, Halima Bensmail, 2013, COMAD.

Discovering Cluster Dynamics Using Kernel Spectral Methods

Johan A. K. Suykens, Joos Vandewalle, Rocco Langone, 2016 .

Soft kernel spectral clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Optimal reduced sets for sparse kernel spectral clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Detecting Correlations between Hot Days in News Feeds

Vikram Pudi, Raghvendra Mall, Nahil Jain, 2011, KDIR.

Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, PloS one.

Identification of cancer drug sensitivity biomarkers

Ehsan Ullah, Raghvendra Mall, Halima Bensmail, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A New Efficient and Unbiased Approach for Clustering Quality Evaluation

Jean-Charles Lamirel, Pascal Cuxac, Raghvendra Mall, 2011, PAKDD Workshops.

Clustering data over time using kernel spectral clustering with memory

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction

Raghvendra Mall, Khalid Kunji, Halima Bensmail, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

PERFICT: Perturbed Frequent Itemset Based Classification Technique

Vikram Pudi, Raghvendra Mall, Prakhar Jain, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Comportement comparatif des méthodes de clustering incrémentales et non incrémentales sur les données textuelles hétérogènes

Jean-Charles Lamirel, Raghvendra Mall, M. Ahmad, 2011 .

Detection of statistically significant network changes in complex biological networks

Raghvendra Mall, Michele Ceccarelli, Luigi Cerulo, 2016, bioRxiv.

Variations to incremental growing neural gas algorithm based on label maximization

Jean-Charles Lamirel, Pascal Cuxac, Raghvendra Mall, 2011, The 2011 International Joint Conference on Neural Networks.

BCrystal: an interpretable sequence-based protein crystallization predictor

Raghvendra Mall, Khalid Kunji, Gwo-Yu Chuang, 2019, Bioinform..

Kernel Spectral Clustering for Big Data Networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, Entropy.

Comparative behaviour of recent incremental and non-incremental clustering methods on text: an extended study

Jean-Charles Lamirel, Raghvendra Mall, Mumtaz Ahmad, 2011, IEA/AIE'11.

Four Types of Toxic People: Characterizing Online Users’ Toxicity over Time

Bernard J. Jansen, Raghvendra Mall, Hind Almerekhi, 2020, NordiCHI.

COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator

Ehsan Ullah, Raghvendra Mall, Michaël Aupetit, 2016, BMC Bioinformatics.

Sparsity in Large Scale Kernel Models

Raghvendra Mall, 2015 .

Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015, ESANN.

Statistical and Network Analysis of Metabolomics Data

Ehsan Ullah, Raghvendra Mall, Halima Bensmail, 2016, BCB.

DeepSol: a deep learning framework for sequence‐based protein solubility prediction

Raghvendra Mall, Sameer Khurana, Khalid Kunji, 2018, Bioinform..

A New Label Maximization Based Incremental Neural Clustering Approach: Application to Text Clustering

Jean-Charles Lamirel, Shadi Al Shehabi, Raghvendra Mall, 2011, WSOM.

Agglomerative hierarchical kernel spectral data clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Representative subsets for big data learning using k-NN graphs

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Denoised Kernel Spectral data Clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Highly Sparse Reductions to Kernel Spectral Clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, PReMI.

ISaaC: Identifying Structural Relations in Biological Data with Copula-Based Kernel Dependency Measures

Ehsan Ullah, Raghvendra Mall, Halima Bensmail, 2018, IWBBIO.

Sparsity in Large Scale Kernel Models ; Sparsity in grootschalige Kernel modellen

Raghvendra Mall, 2015 .

Kernel Spectral Clustering and applications pdf

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015, ArXiv.

Benchmark on a large cohort for sleep-wake classification with machine learning techniques

Luis Fernandez-Luque, Raghvendra Mall, Shahrad Taheri, 2019, npj Digital Medicine.

Kernel Spectral Clustering and

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015 .

PERICASA

Vikram Pudi, Raghvendra Mall, Prakhar Jain, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Importance of structural deformation features in the prediction of hybrid perovskite bandgaps

Raghvendra Mall, Halima Bensmail, Fedwa El-Mellouhi, 2020 .

Fast in-memory spectral clustering using a fixed-size approach

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2016, ESANN.

Metabolomic Data Profiling for Diabetes Research in Qatar

Raghvendra Mall, Laure Berti-Équille, Halima Bensmail, 2016, 2016 27th International Workshop on Database and Expert Systems Applications (DEXA).

Data-driven enhancement of cubic phase stability in mixed-cation perovskites

Raghvendra Mall, Halima Bensmail, Fedwa El-Mellouhi, 2021, Mach. Learn. Sci. Technol..

Permutation-Invariant Subgraph Discovery pdf

Sanjay Chawla, Raghvendra Mall, Han Yufei, 2021, ArXiv.