Morteza Saberi
Orcid: 0000-0002-5168-2078Affiliations:
- University of New South Wales, School of Business, Canberra, Australia
According to our database1,
Morteza Saberi
authored at least 126 papers
between 2007 and 2024.
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Bibliography
2024
Event Identification for Supply Chain Risk Management Through News Analysis by Using Large Language Models.
Rev. Socionetwork Strateg., November, 2024
The bi-objective orienteering problem with hotel selection: an integrated text mining optimisation approach.
Inf. Technol. Manag., September, 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
An explainable data-driven decision support framework for strategic customer development.
Knowl. Based Syst., 2024
Expert Syst. Appl., 2024
Comput. Vis. Image Underst., 2024
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor.
CoRR, 2024
Enhancing Supply Chain Risk Management with Large Language Models: Software Prototyping and Interactive Visualization.
Proceedings of the IEEE International Conference on e-Business Engineering, 2024
Evaluation of Large Language Model Responses for 32 Diverse Personality Types Using the Best Worst Method (BWM).
Proceedings of the IEEE International Conference on e-Business Engineering, 2024
A Comprehensive Analysis for Determining Key Influencing Factors on Carbon Credit Prices.
Proceedings of the IEEE International Conference on e-Business Engineering, 2024
At Scaled Research Opportunity Identification: The Marriage of Explicit and Parametric Knowledge.
Proceedings of the IEEE International Conference on e-Business Engineering, 2024
Empowering Supply Chains Resilience: LLMs-Powered BN for Proactive Supply Chain Risk Identification.
Proceedings of the Third International Workshop on Linked Data-driven Resilience Research (D2R2'24) co-located with European Semantic Web Conference 2024 (ESWC 2024), 2024
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-Free Adaptor.
Proceedings of the Computer Vision - ACCV 2024, 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
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
A multi-objective linear programming model for scheduling part families and designing a group layout in cellular manufacturing systems.
Comput. Oper. Res., 2023
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
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
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
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
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
Proceedings of the Computer Vision - ECCV 2022, 2022
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
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
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
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
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
Proceedings of the Workshop on Interactive Data Mining, 2019
Proceedings of the Advances in E-Business Engineering for Ubiquitous Computing, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
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
Appl. Soft Comput., 2018
An Early Detection System for Proactive Management of Raw Milk Quality: An Australian Case Study.
IEEE Access, 2018
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2018
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018
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
Int. J. Fuzzy Syst., 2017
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
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
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
Proceedings of the 2016 International Conference on Intelligent Networking and Collaborative Systems, 2016
2015
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
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
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
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
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
Proceedings of the 7th IEEE International Conference on Digital Ecosystems and Technologies, 2013
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
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
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