Amin Beheshti

Orcid: 0000-0002-5988-5494

Affiliations:
  • Macquarie University, Sydney, NSW, Australia


According to our database1, Amin Beheshti authored at least 149 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An efficient texture descriptor based on local patterns and particle swarm optimization algorithm for face recognition.
J. Supercomput., November, 2024

Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP.
IEEE Trans. Comput. Soc. Syst., August, 2024

A Comprehensive Survey on Graph Summarization With Graph Neural Networks.
IEEE Trans. Artif. Intell., August, 2024

Explainable AI Frameworks: Navigating the Present Challenges and Unveiling Innovative Applications.
Algorithms, June, 2024

A Survey on Deep Learning Event Extraction: Approaches and Applications.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Partial reinforcement optimizer: An evolutionary optimization algorithm.
Expert Syst. Appl., March, 2024

An Intelligence Cattle Reidentification System Over Transport by Siamese Neural Networks and YOLO.
IEEE Internet Things J., January, 2024

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023.
Appl. Intell., January, 2024

Style-aware two-stage learning framework for video captioning.
Knowl. Based Syst., 2024

Knowledge graph construction in hyperbolic space for automatic image annotation.
Image Vis. Comput., 2024

PersoBench: Benchmarking Personalized Response Generation in Large Language Models.
CoRR, 2024

When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis.
CoRR, 2024

An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Graph Neural Networks for Brain Graph Learning: A Survey.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

The Open Story Model (OSM): Transforming Big Data into Interactive Narratives.
Proceedings of the IEEE International Conference on Web Services, 2024

DISS-CF: Direct Item Session Similarity Enhanced Collaborative Filtering Method for Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2024

Ecosystem-Based Data Products and DaaS: Complexity Analysis and Design Considerations.
Proceedings of the IEEE International Conference on Web Services, 2024

GraphSUM: Scalable Graph Summarization for Efficient Question Answering.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation.
Proceedings of the IEEE International Conference on Software Services Engineering, 2024

2023
Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks.
IEEE Trans. Intell. Transp. Syst., December, 2023

Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition.
IEEE Trans. Big Data, October, 2023

3D shallow deep neural network for fast and precise segmentation of left atrium.
Multim. Syst., June, 2023

Learning Distributed Representations and Deep Embedded Clustering of Texts.
Algorithms, March, 2023

A Cognitive Model for Technology Adoption.
Algorithms, March, 2023

Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools.
Algorithms, March, 2023

DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing.
IEEE Trans. Intell. Transp. Syst., 2023

A Survey on Graph Neural Networks for Graph Summarization.
CoRR, 2023

Measuring Potential Performance Gains of Python Web Applications with pyUpgradeSim.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Noise-Augmented Contrastive Learning for Sequential Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

OptIForest: Optimal Isolation Forest for Anomaly Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data.
Proceedings of the IEEE International Conference on Web Services, 2023

ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence.
Proceedings of the IEEE International Conference on Web Services, 2023

Empowering Generative AI with Knowledge Base 4.0: Towards Linking Analytical, Cognitive, and Generative Intelligence.
Proceedings of the IEEE International Conference on Web Services, 2023

Surface Area Estimation Using 3D Point Clouds and Delaunay Triangulation.
Proceedings of the Second International Conference on Innovations in Computing Research (ICR'23), 2023

Federated Anomaly Detection with Isolation Forest for IoT Network Traffics.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

A Contextualized Transformer-Based Method for Cyberbullying Detection.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer.
BMC Bioinform., December, 2022

Performance Analysis and Optimization on Scheduling Stochastic Cloud Service Requests: A Survey.
IEEE Trans. Netw. Serv. Manag., 2022

Deep reinforcement learning guided graph neural networks for brain network analysis.
Neural Networks, 2022

HAM-Net: Predictive Business Process Monitoring with a hierarchical attention mechanism.
Knowl. Based Syst., 2022

A Convolutional Attention Network for Unifying General and Sequential Recommenders.
Inf. Process. Manag., 2022

Should AI-enabled medical devices be explainable?
Int. J. Law Inf. Technol., 2022

A priority queue-based telemonitoring system for automatic diagnosis of heart diseases in integrated fog computing environments.
Health Informatics J., 2022

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence.
CoRR, 2022

An Intelligent System for Multi-topic Social Spam Detection in Microblogging.
CoRR, 2022

ComGA: Community-Aware Attributed Graph Anomaly Detection.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique.
Proceedings of the Advances in Mobile Computing and Multimedia Intelligence, 2022

Knowledge Base 4.0: Using Crowdsourcing Services for Mimicking the Knowledge of Domain Experts.
Proceedings of the IEEE International Conference on Web Services, 2022

DAGAD: Data Augmentation for Graph Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining, 2022

Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

A Cricket-Based Selection Hyper-Heuristic for Many-Objective Optimization Problems.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data.
Proceedings of the Process Querying Methods, 2022

2021
Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds.
IEEE Trans. Parallel Distributed Syst., 2021

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2021

Attention-Based Context Boosted Cyberbullying Detection in Social Media.
J. Data Intell., 2021

Modeling Personality Effect in Trust Prediction.
J. Data Intell., 2021

SCiMet: Stable, sCalable and reliable Metric-based framework for quality assessment in collaborative content generation systems.
J. Informetrics, 2021

Relational Learning Analysis of Social Politics using Knowledge Graph Embedding.
Data Min. Knowl. Discov., 2021

A Query Language for Summarizing and Analyzing Business Process Data.
CoRR, 2021

A survey of empirical performance evaluation of permissioned blockchain platforms: Challenges and opportunities.
Comput. Secur., 2021

Intelligent Narrative Summaries: From Indicative to Informative Summarization.
Big Data Res., 2021

Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics.
Proceedings of the International Joint Conference on Neural Networks, 2021

Towards Predictive Analytics in Mental Health Care.
Proceedings of the International Joint Conference on Neural Networks, 2021

Towards Proactive Financial Crime and Fraud Detectionthrough Artificial Intelligence and RegTech Technologies.
Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification.
Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

Towards Scalable Blockchains Using Service-Oriented Architectures.
Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

AI-Enabled Processes: The Age of Artificial Intelligence and Big Data.
Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.
Proceedings of the IEEE International Conference on Data Mining, 2021

Design Methodology for Service-Based Data Product Sharing and Trading.
Proceedings of the Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, 2021

Cognitive Augmentation in Processes.
Proceedings of the Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, 2021

Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven IoT workflows.
Future Gener. Comput. Syst., 2020

Feature-Based and Adaptive Rule Adaptation in Dynamic Environments.
Data Sci. Eng., 2020

Deep feature learnt by conventional deep neural network.
Comput. Electr. Eng., 2020

Towards Cognitive Recommender Systems.
Algorithms, 2020

Towards a Deep Attention-Based Sequential Recommender System.
IEEE Access, 2020

Extractive Document Summarization Based on Dynamic Feature Space Mapping.
IEEE Access, 2020

A Survey on Trust Prediction in Online Social Networks.
IEEE Access, 2020

iStory: Intelligent Storytelling with Social Data.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Linking textual and contextual features for intelligent cyberbullying detection in social media.
Proceedings of the MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30, 2020

Towards intelligent feature engineering for risk-based customer segmentation in banking.
Proceedings of the MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30, 2020

A dynamic deep trust prediction approach for online social networks.
Proceedings of the MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30, 2020

A Novel Cognitive Computing Technique Using Convolutional Networks for Automating the Criminal Investigation Process in Policing.
Proceedings of the Intelligent Systems and Applications, 2020

Convolutional Neural Network for Medical Image Classification using Wavelet Features.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Attention Mechanism in Predictive Business Process Monitoring.
Proceedings of the 24th IEEE International Enterprise Distributed Object Computing Conference, 2020

Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things.
Proceedings of the 6th IEEE International Conference on Dependability in Sensor, 2020

2019
DataSynapse: A Social Data Curation Foundry.
Distributed Parallel Databases, 2019

Adaptive Rule Adaptation in Unstructured and Dynamic Environments.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Intelligent Knowledge Lakes: The Age of Artificial Intelligence and Big Data.
Proceedings of the Web Information Systems Engineering, 2019

Enabling the Analysis of Personality Aspects in Recommender Systems.
Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019

DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks.
Proceedings of the MoMM 2019: The 17th International Conference on Advances in Mobile Computing & Multimedia, 2019

Towards Context-Aware Social Behavioral Analytics.
Proceedings of the MoMM 2019: The 17th International Conference on Advances in Mobile Computing & Multimedia, 2019

2018
ProcessAtlas: A scalable and extensible platform for business process analytics.
Softw. Pract. Exp., 2018

CoreKG: a Knowledge Lake Service.
Proc. VLDB Endow., 2018

Correction To: Large scale graph processing systems: survey and an experimental evaluation.
Clust. Comput., 2018

CNR: Cross-network Recommendation Embedding User's Personality.
Proceedings of the Data Quality and Trust in Big Data - 5th International Workshop, 2018

SETTRUST: Social Exchange Theory Based Context-Aware Trust Prediction in Online Social Networks.
Proceedings of the Data Quality and Trust in Big Data - 5th International Workshop, 2018

Social Context-Aware Trust Prediction: Methods for Identifying Fake News.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

iCOP: IoT-Enabled Policing Processes.
Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

iSheets: A Spreadsheet-Based Machine Learning Development Platform for Data-Driven Process Analytics.
Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

Adaptive rule monitoring system.
Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services, 2018

CrowdCorrect: A Curation Pipeline for Social Data Cleansing and Curation.
Proceedings of the Information Systems in the Big Data Era, 2018

iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes.
Proceedings of the Business Process Management Forum, 2018

iRecruit: Towards Automating the Recruitment Process.
Proceedings of the Service Research and Innovation - 7th Australian Symposium, 2018

TEXUS: Table Extraction System for PDF Documents.
Proceedings of the Databases Theory and Applications, 2018

2017
A systematic review and comparative analysis of cross-document coreference resolution methods and tools.
Computing, 2017

On Automating Basic Data Curation Tasks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

CoreDB: a Data Lake Service.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Scalable graph-based OLAP analytics over process execution data.
Distributed Parallel Databases, 2016

Data Curation APIs.
CoRR, 2016

Galaxy: A Platform for Explorative Analysis of Open Data Sources.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

Process Analytics - Concepts and Techniques for Querying and Analyzing Process Data
Springer, ISBN: 978-3-319-25037-3, 2016

2015
DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication.
Proc. VLDB Endow., 2015

Large scale graph processing systems: survey and an experimental evaluation.
Clust. Comput., 2015

Scalable SaaS-Based Process Customization with CaseWalls.
Proceedings of the Service-Oriented Computing - 13th International Conference, 2015

Towards a Methodology for Social Business Intelligence in the Era of Big Social Data Incorporating Trust and Semantic Analysis.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

A Preliminary Approach to Domain-Based Evaluation of Users' Trustworthiness in Online Social Networks.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

A Framework of Enriching Business Processes Life-Cycle with Tagging Information.
Proceedings of the Databases Theory and Applications, 2015

2014
Representation and querying of unfair evaluations in social rating systems.
Comput. Secur., 2014

On Characterizing the Performance of Distributed Graph Computation Platforms.
Proceedings of the Performance Characterization and Benchmarking. Traditional to Big Data, 2014

2013
Big Data and Cross-Document Coreference Resolution: Current State and Future Opportunities.
CoRR, 2013

Enabling the Analysis of Cross-Cutting Aspects in Ad-Hoc Processes.
Proceedings of the Advanced Information Systems Engineering, 2013

Collusion Detection in Online Rating Systems.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
Organizing, querying, and analyzing ad-hoc processes' data.
PhD thesis, 2012

Extending SPARQL to Support Entity Grouping and Path Queries
CoRR, 2012

Temporal Provenance Model (TPM): Model and Query Language
CoRR, 2012

An Analytic Approach to People Evaluation in Crowdsourcing Systems
CoRR, 2012

Detecting, Representing and Querying Collusion in Online Rating Systems
CoRR, 2012

A Framework and a Language for On-Line Analytical Processing on Graphs.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

Reputation management in crowdsourcing systems.
Proceedings of the 8th International Conference on Collaborative Computing: Networking, 2012

2011
A Query Language for Analyzing Business Processes Execution.
Proceedings of the Business Process Management - 9th International Conference, 2011

2007
Development of Grid resource discovery service based on semantic information.
Proceedings of the 2007 Spring Simulation Multiconference, 2007


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