S. Asharaf

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Scalable decision fusion algorithm for enabling decentralized computation in distributed, big data clustering problems.
Int. J. Mach. Learn. Cybern., September, 2024

A Local Explainability Technique for Graph Neural Topic Models.
Hum. Centric Intell. Syst., March, 2024

2023
String Kernel-Based Techniques for Native Language Identification.
Hum. Centric Intell. Syst., September, 2023

2022
Reputation management in vehicular network using blockchain.
Peer-to-Peer Netw. Appl., 2022

Blockchain technology for cybersecurity: A text mining literature analysis.
Int. J. Inf. Manag. Data Insights, 2022

2021
Deep Kernel machines: a survey.
Pattern Anal. Appl., 2021

Correction to: Deep kernel learning in extreme learning machines.
Pattern Anal. Appl., 2021

Deep kernel learning in extreme learning machines.
Pattern Anal. Appl., 2021

A Transparent and Traceable Coverage Analysis Model for Vaccine Supply-Chain Using Blockchain Technology.
IT Prof., 2021

A distributional semantics-based information retrieval framework for online social networks.
Intell. Decis. Technol., 2021

2020
Aspect-Oriented Sentiment Analysis: A Topic Modeling-Powered Approach.
J. Intell. Syst., 2020

Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence.
Int. J. Interact. Multim. Artif. Intell., 2020

2019
Extracting Conceptual Relationships and Inducing Concept Lattices from Unstructured Text.
J. Intell. Syst., 2019

Conceptualized phrase clustering with distributed k-means.
Intell. Decis. Technol., 2019

Parkchain: A Blockchain Powered Parking Solution for Smart Cities.
Frontiers Blockchain, 2019

2018
Deep kernel learning in core vector machines.
Pattern Anal. Appl., 2018

Deep multiple multilayer kernel learning in core vector machines.
Expert Syst. Appl., 2018

2017
A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce.
Int. J. Interact. Multim. Artif. Intell., 2017

Lightly trained support vector data description for novelty detection.
Expert Syst. Appl., 2017

Tensor Decomposition Based Approach for Training Extreme Learning Machines.
Big Data Res., 2017

2016
Learning Concept Hierarchies through Probabilistic Topic Modeling.
CoRR, 2016

Edge-PSO: A recombination operator based PSO algorithm for solving TSP.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015
Generating and visualizing topic hierarchies from microblogs: An iterative latent dirichlet allocation approach.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014
Incremental multi-document summarization: An incremental clustering based approach.
Proceedings of the International Conference on Data Science & Engineering, 2014

2013
Rough Support Vectors: Classification, Regression, Clustering.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Selective sampling-based training schemes for core vector machines.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2013

Scope of ontological annotation in e-commerce.
Int. J. Bus. Inf. Syst., 2013

2007
Rough Core Vector Clustering.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Core Vector Clustering.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Multiclass core vector machine.
Proceedings of the Machine Learning, 2007

Cluster Based Training for Scaling Non-linear Support Vector Machines.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2006
Rough set based incremental clustering of interval data.
Pattern Recognit. Lett., 2006

Scalable non-linear Support Vector Machine using hierarchical clustering.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Cluster Based Core Vector Machine.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Rough support vector clustering.
Pattern Recognit., 2005

2004
A rough fuzzy approach to web usage categorization.
Fuzzy Sets Syst., 2004

2003
An adaptive rough fuzzy single pass algorithm for clustering large data sets.
Pattern Recognit., 2003


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