Morteza Saberi

Orcid: 0000-0002-5168-2078

Affiliations:
  • University of New South Wales, School of Business, Canberra, Australia


According to our database1, Morteza Saberi authored at least 114 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
A Hybrid Semi-Supervised Approach for Estimating the Efficient and Optimal Level of Hospitals Outputs.
Cybern. Syst., February, 2024

A data-driven decision support framework for DEA target setting: an explainable AI approach.
Eng. Appl. Artif. Intell., January, 2024

2023
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis.
Neural Comput. Appl., October, 2023

Data-driven personalized assortment optimization by considering customers' value and their risk of churning: Case of online grocery shopping.
Comput. Ind. Eng., August, 2023

Reinforcement Learning-Based News Recommendation System.
IEEE Trans. Serv. Comput., 2023

An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions.
Knowl. Based Syst., 2023

SIAEF/PoE: Accountability of Earnestness for encoding subjective information in Blockchain.
Knowl. Based Syst., 2023

Enhancing the analysis of online product reviews to support product improvement: integrating text mining with quality function deployment.
J. Enterp. Inf. Manag., 2023

Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time.
Eng. Appl. Artif. Intell., 2023

An Investigation of Hepatitis B Virus Genome using Markov Models.
CoRR, 2023

A multi-objective linear programming model for scheduling part families and designing a group layout in cellular manufacturing systems.
Comput. Oper. Res., 2023

POSSUM: PrOactive diSruption riSk identification for sUpply chain Management.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Improving Deep Learning Transparency: Leveraging the Power of LIME Heatmap.
Proceedings of the Service-Oriented Computing - ICSOC 2023 Workshops - AI-PA, ASOCA, SAPD, SQS, SSCOPE, WESOACS and Satellite Events, Rome, Italy, November 28, 2023

A lightweight and unsupervised approach for identifying risk events in news articles.
Proceedings of the IEEE International Conference on Data Mining, 2023

ChatGPT-guided Semantics for Zero-shot Learning.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

A News Recommendation System for Environmental Risk Management.
Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023), 2023

2022
Analysing academic paper ranking algorithms using test data and benchmarks: an investigation.
Scientometrics, 2022

Explainability in supply chain operational risk management: A systematic literature review.
Knowl. Based Syst., 2022

Proof by Earnestness (PoE) to determine the authenticity of subjective information in blockchains - application in supply chain risk management.
Knowl. Based Syst., 2022

A reinforcement learning-based framework for disruption risk identification in supply chains.
Future Gener. Comput. Syst., 2022

An end-to-end ranking system based on customers reviews: Integrating semantic mining and MCDM techniques.
Expert Syst. Appl., 2022

Can i trust you? incorporating supplier trustworthiness into supplier selection criteria.
Enterp. Inf. Syst., 2022

Prompt-guided Scene Generation for 3D Zero-Shot Learning.
CoRR, 2022

The Human Factor in AI Safety.
CoRR, 2022

Proof of Earnestness- Subjective information's Trustworthiness in Blockchains as a Service.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Developing Supply Chain Risk Management Strategies by Using Counterfactual Explanation.
Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

Few-Shot Class-Incremental Learning for 3D Point Cloud Objects.
Proceedings of the Computer Vision - ECCV 2022, 2022

S-index: Significance of Academic Authors to Individual Publication Venues.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021
Assessing the authenticity of subjective information in the blockchain: a survey and open issues.
World Wide Web, 2021

Towards solution-oriented knowledge recommendation.
SIGWEB Newsl., 2021

Joint optimization of maintenance and inventory policies for multi-unit systems.
Int. J. Syst. Assur. Eng. Manag., 2021

GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game.
Knowl. Based Syst., 2021

A survey on the suitability of risk identification techniques in the current networked environment.
J. Netw. Comput. Appl., 2021

A Recommender System and Risk Mitigation Strategy for Supply Chain Management Using the Counterfactual Explanation Algorithm.
Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

Human-in-the-Loop Optimization for Artificial Intelligence Algorithms.
Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

Improving Object Recognition in Crime Scenes via Local Interpretable Model-Agnostic Explanations.
Proceedings of the 25th International Enterprise Distributed Object Computing Workshop, 2021

2020
Social network structure-based framework for innovation evaluation and propagation for new product development.
Serv. Oriented Comput. Appl., 2020

Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges.
Scientometrics, 2020

Hidden fuzzy information: Requirement specification and measurement of project provider performance using the best worst method.
Fuzzy Sets Syst., 2020

Ambiguous requirements: A semi-automated approach to identify and clarify ambiguity in large-scale projects.
Comput. Ind. Eng., 2020

2019
Ranking scientific articles based on bibliometric networks with a weighting scheme.
J. Informetrics, 2019

Reliability estimation using an integrated support vector regression - variable neighborhood search model.
J. Ind. Inf. Integr., 2019

Stackelberg model based game theory approach for assortment and selling price planning for small scale online retailers.
Future Gener. Comput. Syst., 2019

Proactive management of SLA violations by capturing relevant external events in a Cloud of Things environment.
Future Gener. Comput. Syst., 2019

From Big Scholarly Data to Solution-Oriented Knowledge Repository.
Frontiers Big Data, 2019

Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management.
IEEE Access, 2019

Quality Management of Workers in an In-House Crowdsourcing-Based Framework for Deduplication of Organizations' Databases.
IEEE Access, 2019

Smart Farm: A System for Proactive Management of Raw Milk Quality.
Proceedings of the Workshop on Interactive Data Mining, 2019

A Customer-Oriented Assortment Selection in the Big Data Environment.
Proceedings of the Advances in E-Business Engineering for Ubiquitous Computing, 2019

K3S: Knowledge-Driven Solution Support System.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Recruiting the K-most influential prospective workers for crowdsourcing platforms.
Serv. Oriented Comput. Appl., 2018

A semantic-based knowledge fusion model for solution-oriented information network development: a case study in intrusion detection field.
Scientometrics, 2018

An MCDM method for cloud service selection using a Markov chain and the best-worst method.
Knowl. Based Syst., 2018

Smart Buyer: A Bayesian Network modelling approach for measuring and improving procurement performance in organisations.
Knowl. Based Syst., 2018

Addressing Missing Data and Data Competitiveness Issues: Transforming Tacit Knowledge into Explicit Form by Fuzzy Inference Learning System.
Int. J. Fuzzy Syst., 2018

Health, Safety, Environment and Ergonomic Improvement in Energy Sector Using an Integrated Fuzzy Cognitive Map-Bayesian Network Model.
Int. J. Fuzzy Syst., 2018

Targets of Unequal Importance Using the Concept of Stratification in a Big Data Environment.
Int. J. Fuzzy Syst., 2018

Event-driven approach for predictive and proactive management of SLA violations in the Cloud of Things.
Future Gener. Comput. Syst., 2018

Comparing time series with machine learning-based prediction approaches for violation management in cloud SLAs.
Future Gener. Comput. Syst., 2018

Interactive feature selection for efficient customer recognition in contact centers: Dealing with common names.
Expert Syst. Appl., 2018

ZBWM: The Z-number extension of Best Worst Method and its application for supplier development.
Expert Syst. Appl., 2018

Letter: The concept of stratification and future applications.
Appl. Soft Comput., 2018

An Early Detection System for Proactive Management of Raw Milk Quality: An Australian Case Study.
IEEE Access, 2018

Risk Identification-Based Association Rule Mining for Supply Chain Big Data.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2018

Early Detection of Events as a Decision Support in the Milk Collection Planning.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Solution and Reference Recommendation System Using Knowledge Fusion and Ranking.
Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

Customised Data Dashboard for Contact Centres by Focussing on Customer Identification.
Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

Stackelberg Game-Theoretic Approach in Joint Pricing and Assortment Optimizing for Small-Scale Online Retailers: Seller-Buyer Supply Chain Case.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

2017
An integrated fuzzy algorithm approach to factory floor design incorporating environmental quality and health impact.
Int. J. Syst. Assur. Eng. Manag., 2017

An Integrated Fuzzy Trust Prediction Approach in Product Design and Engineering.
Int. J. Fuzzy Syst., 2017

A Robust Solution to Resource-Constraint Project Scheduling Problem.
Int. J. Fuzzy Log. Intell. Syst., 2017

Performance assessment and optimisation of a large information system by combined customer relationship management and resilience engineering: a mathematical programming approach.
Enterp. Inf. Syst., 2017

Past, present and future of contact centers: a literature review.
Bus. Process. Manag. J., 2017

Semantic-based lightweight ontology learning framework: a case study of intrusion detection ontology.
Proceedings of the International Conference on Web Intelligence, 2017

An online statistical quality control framework for performance management in crowdsourcing.
Proceedings of the International Conference on Web Intelligence, 2017

A fuzzy game based framework to address ambiguities in performance based contracting.
Proceedings of the International Conference on Web Intelligence, 2017

A Heuristic Machine Learning Based Approach for Utilizing Scarce Data in Estimating Fuel Consumption of Heavy Duty Trucks.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2017

A Bayesian Network for Improving Organizational Regulations Effectiveness: Concurrent Modeling of Organizational Resilience Engineering and Macro-Ergonomics Indicators.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2017

Fine Tuning a Bayesian Network and Fairly Allocating Resources to Improve Procurement Performance.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2017

Online Retailer Assortment Planning and Managing under Customer and Supplier Uncertainty Effects Using Internal and External Data.
Proceedings of the 14th IEEE International Conference on e-Business Engineering, 2017

An integrated fuzzy cognitive map-Bayesian network model for improving HSEE in energy sector.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Logistic informatics modelling using concept of stratification (CST).
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Intelligent customer complaint handling utilising principal component and data envelopment analysis (PDA).
Appl. Soft Comput., 2016

Challenges in Efficient Customer Recognition in Contact Centre: State-of-the-Art Survey by Focusing on Big Data Techniques Applicability.
Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems, 2016

A Bi-objective Model for Relief Supply Location in Post-Disaster Management.
Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems, 2016

2015
A trust-based performance measurement modeling using t-norm and t-conorm operators.
Appl. Soft Comput., 2015

Statistical Quality Control Framework for Crowd-Worker in ER-In-house Crowdsourcing System.
Proceedings of the 20th International Conference on Information Quality, 2015

Developing a Fuzzy Predictive Aid System in Contact Centres for an Efficient Customer Recognition Process.
Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems, 2015

ANOVA Based Approch for Efficient Customer Recognition: Dealing with Common Names.
Proceedings of the Artificial Intelligence in Theory and Practice IV, 2015

Cognition and Statistical-Based Crowd Evaluation Framework for ER-in-House Crowdsourcing System: Inbound Contact Center.
Proceedings of the Databases Theory and Applications, 2015

2014
In-house Crowdsourcing-Based Entity Resolution: Dealing with Common Names.
Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014

A trust-based performance measurement modeling using DEA, T-norm and S-norm operators.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Trust prediction using Z-numbers and Artificial Neural Networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
A granular computing-based approach to credit scoring modeling.
Neurocomputing, 2013

Improved estimation of electricity demand function by using of artificial neural network, principal component analysis and data envelopment analysis.
Comput. Ind. Eng., 2013

Support vector regression with chaos-based firefly algorithm for stock market price forecasting.
Appl. Soft Comput., 2013

A flexible algorithm for fault diagnosis in a centrifugal pump with corrupted data and noise based on ANN and support vector machine with hyper-parameters optimization.
Appl. Soft Comput., 2013

Track J: Fuzzy semantic computing in digital ecosystems.
Proceedings of the 7th IEEE International Conference on Digital Ecosystems and Technologies, 2013

Z-AHP: A Z-number extension of fuzzy analytical hierarchy process.
Proceedings of the 7th IEEE International Conference on Digital Ecosystems and Technologies, 2013

2012
An intelligent decision support system for forecasting and optimization of complex personnel attributes in a large bank.
Expert Syst. Appl., 2012

A trust-based bio-inspired approach for credit lending decisions.
Computing, 2012

An integrated fuzzy regression-data envelopment analysis algorithm for optimum oil consumption estimation with ambiguous data.
Appl. Soft Comput., 2012

A knowledge management system based on artificial intelligence (AI) methods: A flexible fuzzy regression-analysis of variance algorithm for natural gas consumption estimation.
Proceedings of the 2012 International Conference on Information Retrieval & Knowledge Management, 2012

2011
An integrated artificial neural network-genetic algorithm clustering ensemble for performance assessment of decision making units.
J. Intell. Manuf., 2011

An integrated Data Envelopment Analysis-Artificial Neural Network-Rough Set Algorithm for assessment of personnel efficiency.
Expert Syst. Appl., 2011

An adaptive network based fuzzy inference system-genetic algorithm clustering ensemble algorithm for performance assessment and improvement of conventional power plants.
Expert Syst. Appl., 2011

An Integrated Artificial Neural Network Fuzzy C-Means-Normalization Algorithm for performance assessment of decision-making units: The cases of auto industry and power plant.
Comput. Ind. Eng., 2011

2010
Estimating and improving electricity demand function in residential sector with imprecise data by fuzzy regression.
Int. J. Math. Oper. Res., 2010

An integrated artificial neural network algorithm for performance assessment and optimization of decision making units.
Expert Syst. Appl., 2010

An Adaptive-Network-Based Fuzzy Inference System for Long-Term Electric Consumption Forecasting (2008-2015): A Case Study of the Group of Seven (G7) Industrialized Nations: U.S.A., Canada, Germany, United Kingdom, Japan, France and Italy.
Proceedings of the Fourth UKSim European Symposium on Computer Modeling and Simulation, 2010

2009
A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation.
Expert Syst. Appl., 2009

A Meta heuristic approach for performance assessment of production units.
Expert Syst. Appl., 2009

2007
Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption.
Appl. Math. Comput., 2007

An integrated artificial neural network and fuzzy clustering algorithm for performance assessment of decision making units.
Appl. Math. Comput., 2007


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