Rabeeh Ayaz Abbasi

Orcid: 0000-0002-3787-7039

Affiliations:
  • Quaid-i-Azam University, Islamabad, Pakistan
  • King Abdulaziz University, Jeddah, Saudi Arabia (former)


According to our database1, Rabeeh Ayaz Abbasi authored at least 55 papers between 2009 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information.
World Wide Web (WWW), September, 2023

Performance analysis of machine learning classifiers for non-technical loss detection.
J. Ambient Intell. Humaniz. Comput., 2023

2022
Analyzing Public Discussions About #SaudiWomenCanDrive Using Network Science.
IEEE Access, 2022

Toward Building a Linked Open Data Cloud to Predict and Regulate Social Relations in the Saudi Society.
IEEE Access, 2022

Identifying Misinformation Spreaders: A Graph-Based Semi-Supervised Learning Approach.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddings.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

2021
Using machine learning techniques for rising star prediction in basketball.
Knowl. Based Syst., 2021

Using graph embedding and machine learning to identify rebels on twitter.
J. Informetrics, 2021

Resolving cross-site scripting attacks through genetic algorithm and reinforcement learning.
Expert Syst. Appl., 2021

Sentiment analysis for Urdu online reviews using deep learning models.
Expert Syst. J. Knowl. Eng., 2021

Automating test oracles from restricted natural language agile requirements.
Expert Syst. J. Knowl. Eng., 2021

2020
ArWordVec: efficient word embedding models for Arabic tweets.
Soft Comput., 2020

Finding rising stars in bibliometric networks.
Scientometrics, 2020

Scientific impact of an author and role of self-citations.
Scientometrics, 2020

Identifying Entrepreneurial Influencers on Twitter.
ISC Int. J. Inf. Secur., 2020

ECharacterize: A Novel Feature Selection-Based Framework for Characterizing Entrepreneurial Influencers in Arabic Twitter.
Int. J. Interact. Mob. Technol., 2020

Modelling MOOC learners' social behaviours.
Comput. Hum. Behav., 2020

Using network science to understand the link between subjects and professions.
Comput. Hum. Behav., 2020

Context-Aware Sliding Window for Sentiment Classification.
IEEE Access, 2020

Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection.
IEEE Access, 2020

Startup Initiative Response Analysis (SIRA) Framework for Analyzing Startup Initiatives on Twitter.
IEEE Access, 2020

Mining and Classifying Social Network Data: The Case on King Abdul-Aziz University Twitter Accounts.
Proceedings of the Research and Innovation Forum 2020, 2020

Test Oracle using Semantic Analysis from Natural Language Requirements.
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

EveSense: What Can You Sense from Twitter?
Proceedings of the Advances in Information Retrieval, 2020

2019
Mining network-level properties of Twitter altmetrics data.
Scientometrics, 2019

Correlational analysis of topic specificity and citations count of publication venues.
Libr. Hi Tech, 2019

Web Observatory Insights: Past, Current, and Future.
Int. J. Semantic Web Inf. Syst., 2019

What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter.
J. Grid Comput., 2019

Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks.
Expert Syst. Appl., 2019

Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach.
CoRR, 2019

Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes].
IEEE Comput. Intell. Mag., 2019

Expert ranking techniques for online rated forums.
Comput. Hum. Behav., 2019

Connections between e-learning, web science, cognitive computation and social sensing, and their relevance to learning analytics: A preliminary study.
Comput. Hum. Behav., 2019

An integrated framework for course adapted student learning analytics dashboard.
Comput. Hum. Behav., 2019

Towards Deep Learning Prospects: Insights for Social Media Analytics.
IEEE Access, 2019

2018
Saving lives using social media: Analysis of the role of twitter for personal blood donation requests and dissemination.
Telematics Informatics, 2018

Latent Dirichlet Allocation and POS Tags Based Method for External Plagiarism Detection: LDA and POS Tags Based Plagiarism Detection.
Int. J. Semantic Web Inf. Syst., 2018

CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks.
Appl. Soft Comput., 2018

Region-wise Ranking of Sports Players based on Link Fusion.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017
MFS-LDA: a multi-feature space tag recommendation model for cold start problem.
Program, 2017

Who will cite you back? Reciprocal link prediction in citation networks.
Libr. Hi Tech, 2017

CommuniMents: A Framework for Detecting Community Based Sentiments for Events.
Int. J. Semantic Web Inf. Syst., 2017

Prototype selection to improve monotonic nearest neighbor.
Eng. Appl. Artif. Intell., 2017

Modelling to identify influential bloggers in the blogosphere: A survey.
Comput. Hum. Behav., 2017

Finding Rising Stars in Co-Author Networks via Weighted Mutual Influence.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Predicting Student Performance using Advanced Learning Analytics.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016
A Generic Framework for Adding Semantics to Digital Libraries.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Workshops, 2016

2015
INTWEEMS: a framework for incremental clustering of tweet streams.
Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, 2015

2012
Exploiting Social Media Features for Automated Tag Recommendation.
Proceedings of the Collaboration and the Semantic Web, 2012

2011
Discovering and exploiting semantics in folksonomies.
PhD thesis, 2011

2010
Query Expansion in Folksonomies.
Proceedings of the Semantic Multimedia, 2010

2009
Large Scale Tag Recommendation Using Different Image Representations.
Proceedings of the Semantic Multimedia, 2009

RichVSM: enRiched vector space models for folksonomies.
Proceedings of the HYPERTEXT 2009, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, June 29, 2009

Exploiting Flickr Tags and Groups for Finding Landmark Photos.
Proceedings of the Advances in Information Retrieval, 2009


  Loading...