Multilayer fuzzy control of multivariable systems by active decomposition. - Alexander E. Gegov (Int. J. Intell. Syst., 1997)

Multilayer fuzzy control of multivariable systems by direct decomposition. - Alexander E. Gegov (Int. J. Syst. Sci., 1998)

Intelligent modelling of the indoor climate in buildings by soft computing. - Alexander E. Gegov (EUSFLAT Conf., 2001)

Analysis of systems under probabilistic and fuzzy uncertainty using multi-valued logic. - Alexander E. Gegov; Daniela Parashkevova; Krum Ljubenov (Int. J. Gen. Syst., 2004)

Complexity Management in Fuzzy Systems - A Rule Base Compression Approach - Alexander E. Gegov (Springer, 2007)

Advanced Inference in Fuzzy Systems by Rule Base Compression. - Alexander E. Gegov; Neelamugilan Gobalakrishnan (EUSFLAT Conf. (2), 2007)

Fuzzy Networks for Complex Systems - A Modular Rule Base Approach - Alexander E. Gegov (Springer, 2010)

Implementation of a fuzzy model for computation of margins in cancer treatment. - Bongile Mzenda; Mir Hosseini-Ashrafi; Alexander E. Gegov; David J. Brown 002 (FUZZ-IEEE, 2010)

Advanced modelling of complex processes by rule based networks. - Alexander E. Gegov; Nedyalko Petrov; Boriana Vatchova (IEEE Conf. of Intelligent Systems, 2010)

Improving ability of tele-operators to complete progressively more difficult mobile robot paths using simple expert systems and ultrasonic sensors. - David A. Sanders; Jasper Graham-Jones; Alexander E. Gegov (Ind. Robot, 2010)

Improving the transparency in fuzzy modelling of radiotherapy margins in cancer treatment. - Bongile Mzenda; David J. Brown 002; Alexander E. Gegov (CIBCB, 2011)

Fuzzy rule based networks. - Alexander E. Gegov (FOCI, 2011)

Expert system to interpret hand tremor and provide joystick position signals for powered wheelchairs with ultrasonic sensor systems. - David A. Sanders; Ian Stott; Jasper Graham-Jones; Alexander E. Gegov; Giles Tewkesbury (Ind. Robot, 2011)

Advances in fuzzy systems and networks. - Alexander E. Gegov (IEEE Conf. of Intelligent Systems, 2012)

Knowledge extraction methods for complex processes operating under uncertainty. - Boriana Vatchova; Alexander E. Gegov (IEEE Conf. of Intelligent Systems, 2012)

Deriving margins in prostate cancer radiotherapy treatment: comparison of neural network and fuzzy logic models. - Bongile Mzenda; Alexander E. Gegov; David J. Brown 002; Nedyalko Petrov (Int. J. Bioinform. Res. Appl., 2012)

Categorization and Construction of Rule Based Systems. - Han Liu 002; Alexander E. Gegov; Frederic T. Stahl (EANN, 2014)

Filtration of Non-Monotonic Rules for Fuzzy Rule Base Compression. - Alexander E. Gegov; Neelamugilan Gobalakrishnan; David A. Sanders (Int. J. Comput. Intell. Syst., 2014)

Ranking of fuzzy numbers based on centroid point and spread. - Ahmad Syafadhli Abu Bakar; Alexander E. Gegov (J. Intell. Fuzzy Syst., 2014)

Rule base compression in fuzzy systems by filtration of non-monotonic rules. - Alexander E. Gegov; Neelamugilan Gobalakrishnan; David A. Sanders (J. Intell. Fuzzy Syst., 2014)

Rule base identification in fuzzy networks by Boolean matrix equations. - Alexander E. Gegov; Nedyalko Petrov; Emil Gegov (J. Intell. Fuzzy Syst., 2014)

Complexity management methodology for fuzzy systems with feedback rule bases. - Alexander E. Gegov; David A. Sanders; Boriana Vatchova (J. Intell. Fuzzy Syst., 2014)

Intuition based Decision Methodology for Ranking Interval Type - II Fuzzy Numbers. - Ahmad Syafadhli Abu Bakar; Alexander E. Gegov (IFSA-EUSFLAT, 2015)

Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid. - Ku Muhammad Naim Ku Khalif; Alexander E. Gegov (IFSA-EUSFLAT, 2015)

Network based rule representation for knowledge discovery and predictive modelling. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (FUZZ-IEEE, 2015)

Fuzzy rule based approach with z-numbers for selection of alternatives using TOPSIS. - Abdul Malek Yaakob; Alexander E. Gegov (FUZZ-IEEE, 2015)

Fast Transformations to Provide Simple Geometric Models of Moving Objects. - David Adrian Sanders; Giles Tewkesbury; Alexander E. Gegov (ICIRA (1), 2015)

Hybrid ensemble learning approach for generation of classification rules. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (ICMLC, 2015)

Ranking of Interval Type-2 Fuzzy Numbers based on Centroid Point and Spread. - Ahmad Syafadhli Abu Bakar; Ku Muhammad Naim Ku Khalif; Alexander E. Gegov (IJCCI (FCTA), 2015)

Bayesian Logistic Regression using Vectorial Centroid for Interval Type-2 Fuzzy Sets. - Ku Muhammad Naim Ku Khalif; Alexander E. Gegov (IJCCI (FCTA), 2015)

Implementing Adaptive Vectorial Centroid in Bayesian Logistic Regression for Interval Type-2 Fuzzy Sets. - Ku Muhammad Naim Ku Khalif; Alexander E. Gegov (IJCCI (Selected Papers), 2015)

Interval Type 2- Fuzzy Rule based System Approach for Selection of Alternatives using TOPSIS. - Abdul Malek Yaakob; Ku Muhammad Naim Ku Khalif; Alexander E. Gegov; Siti Fatimah Abdul Rahman (IJCCI (FCTA), 2015)

Post Processing Method that Acts on Two-dimensional Clusters of User Data to Produce Dead Bands and Improve Classification. - David Adrian Sanders; Alexander E. Gegov (WEBIST, 2015)

Linguistic composition based modelling by fuzzy networks with modular rule bases. - Alexander E. Gegov; Farzad Arabikhan; Nedyalko Petrov (Fuzzy Sets Syst., 2015)

Multi-Layer Decision Methodology For Ranking Z-Numbers. - Ahmad Syafadhli Abu Bakar; Alexander E. Gegov (Int. J. Comput. Intell. Syst., 2015)

Rule base simplification in fuzzy systems by aggregation of inconsistent rules. - Alexander E. Gegov; Farzad Arabikhan; David A. Sanders (J. Intell. Fuzzy Syst., 2015)

Validation of methods for ranking fuzzy numbers in decision making. - Alexander E. Gegov; Ahmad Syafadhli Abu Bakar (J. Intell. Fuzzy Syst., 2015)

Complexity management methodology for fuzzy systems with feedforward rule bases. - Alexander E. Gegov; David A. Sanders; Boriana Vatchova (Int. J. Knowl. Based Intell. Eng. Syst., 2015)

Fuzzy systems with multiple rule bases for selection of alternatives using TOPSIS. - Abdul Malek Yaakob; Alexander E. Gegov; Mohamed Bader-El-Den; Siti Fatimah Abdul Rahman (FUZZ-IEEE, 2016)

Introducing dead bands within two-dimensional clusters of user data to improve data classification. - David Adrian Sanders; Jorge Bergasa-Suso; Rinat Khusainov; Alexander E. Gegov; Simon Chester; Nils Bausch (HSI, 2016)

Tele-operator performance and their perception of system time lags when completing mobile robot tasks. - David A. Sanders; Martin Langner; Alexander E. Gegov; David Ndzi; Heather M. Sanders; Giles Tewkesbury (HSI, 2016)

Nature and biology inspired approach of classification towards reduction of bias in machine learning. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (ICMLC, 2016)

Rule-Based System to Assist a Tele-Operator with Driving a Mobile Robot. - David Adrian Sanders; Heather May Sanders; Alexander E. Gegov; David Ndzi (IntelliSys (2), 2016)

Rule based systems and networks: Deterministic and fuzzy approaches. - Han Liu 002; Alexander E. Gegov (IEEE Conf. on Intelligent Systems, 2016)

Dynamic Resource Allocation Through Workload Prediction for Energy Efficient Computing. - Adeel Ahmed; David J. Brown 002; Alexander E. Gegov (UKCI, 2016)

Complexity Control in Rule Based Models for Classification in Machine Learning Context. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (UKCI, 2016)

Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers. - Abdul Malek Yaakob; Alexander E. Gegov (Int. J. Comput. Intell. Syst., 2016)

Mamdani fuzzy networks with feedforward rule bases for complex systems modelling. - Alexander E. Gegov; David A. Sanders; Boriana Vatchova (J. Intell. Fuzzy Syst., 2016)

Collaborative rule generation: An ensemble learning approach. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (J. Intell. Fuzzy Syst., 2016)

Interpretability of Computational Models for Sentiment Analysis. - Han Liu 002; Mihaela Cocea; Alexander E. Gegov (Sentiment Analysis and Ontology Engineering, 2016)

Z-TOPSIS approach for performance assessment using fuzzy similarity. - Ku Muhammad Naim Ku Khalif; Alexander E. Gegov; Ahmad Syafadhli Abu Bakar (FUZZ-IEEE, 2017)

Decision making problem solving using fuzzy networks with rule base aggregation. - Abdul Malek Yaakob; Alexander E. Gegov; Siti Fatimah Abdul Rahman (FUZZ-IEEE, 2017)

A Comparison Study on Flush+Reload and Prime+Probe Attacks on AES Using Machine Learning Approaches. - Zirak Allaf; Mo Adda; Alexander E. Gegov (UKCI, 2017)

Rule Based Networks: An Efficient and Interpretable Representation of Computational Models. - Han Liu 002; Alexander E. Gegov; Mihaela Cocea (J. Artif. Intell. Soft Comput. Res., 2017)

Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid. - Ku Muhammad Naim Ku Khalif; Alexander E. Gegov; Ahmad Syafadhli Abu Bakar (J. Intell. Fuzzy Syst., 2017)

Fuzzy networks with feedback rule bases for complex systems modelling. - Alexander E. Gegov; Farzad Arabikhan; David A. Sanders; Boriana Vatchova; Maria T. Vasileva (Int. J. Knowl. Based Intell. Eng. Syst., 2017)

Modular rule base fuzzy networks for linguistic composition based modelling. - Alexander E. Gegov; Nedyalko Petrov; David A. Sanders; Boriana Vatchova (Int. J. Knowl. Based Intell. Eng. Syst., 2017)

Boolean matrix equations for node identification in fuzzy rule based networks. - Alexander E. Gegov; Nedyalko Petrov; David A. Sanders; Boriana Vatchova (Int. J. Knowl. Based Intell. Eng. Syst., 2017)

Aggregation of inconsistent rules for fuzzy rule base simplification. - Alexander E. Gegov; David A. Sanders; Boriana Vatchova (Int. J. Knowl. Based Intell. Eng. Syst., 2017)

FN-TOPSIS: Fuzzy Networks for Ranking Traded Equities. - Abdul Malek Yaakob; Antoaneta Serguieva; Alexander E. Gegov (IEEE Trans. Fuzzy Syst., 2017)

Solution of Dual Fuzzy Equations Using a New Iterative Method. - Sina Razvarz; Raheleh Jafari; Ole-Christoffer Granmo; Alexander E. Gegov (ACIIDS (2), 2018)

A New Computational Method for Solving Fully Fuzzy Nonlinear Systems. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov (ICCCI (1), 2018)

Learning to Make Intelligent Decisions Using an Expert System for the Intelligent Selection of Either PROMETHEE II or the Analytical Hierarchy Process. - Malik Haddad; David A. Sanders; Nils Bausch; Giles Tewkesbury; Alexander E. Gegov; Mohamed Hassan 001 (IntelliSys (1), 2018)

Solving Differential Equations with Z-Numbers by Utilizing Fuzzy Sumudu Transform. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov (IntelliSys (2), 2018)

A Rule-Based Expert System to Decide on Direction and Speed of a Powered Wheelchair. - David A. Sanders; Alexander E. Gegov; Malik Haddad; Favour Ikwan; David Wiltshire; Yong Chai Tan (IntelliSys (1), 2018)

Sharing Driving Between a Vehicle Driver and a Sensor System Using Trust-Factors to Set Control Gains. - David A. Sanders; Alexander E. Gegov; Giles Eric Tewkesbury; Rinat Khusainov (IntelliSys (1), 2018)

Making Decisions About Saving Energy in Compressed Air Systems Using Ambient Intelligence and Artificial Intelligence. - David Adrian Sanders; David Charles Robinson; Mohamed Hassan 001; Malik Haddad; Alexander E. Gegov; Nadia Ahmed (IntelliSys (2), 2018)

Modeling and Control of Uncertain Nonlinear Systems. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov; Satyam Paul (IEEE Conf. on Intelligent Systems, 2018)

Parallel Distributed Compensation for Voltage Controlled Active Magnetic Bearing System using Integral Fuzzy Model. - Martial Tatchum; Alexander E. Gegov; Raheleh Jafari; Sina Razvarz (IEEE Conf. on Intelligent Systems, 2018)

Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov; Satyam Paul (UKCI, 2018)

Solving Partial Differential Equations with Bernstein Neural Networks. - Sina Razvarz; Raheleh Jafari; Alexander E. Gegov (UKCI, 2018)

ConfMVM: A Hardware-Assisted Model to Confine Malicious VMs. - Zirak Allaf; Mo Adda; Alexander E. Gegov (UKSim, 2018)

Selection of alternatives using fuzzy networks with rule base aggregation. - Abdul Malek Yaakob; Alexander E. Gegov; Siti Fatimah Abdul Rahman (Fuzzy Sets Syst., 2018)

TrapMP: Malicious Process Detection By Utilising Program Phase Detection. - Zirak Allaf; Mo Adda; Alexander E. Gegov (Cyber Security, 2019)

The Effect of Baffles on Heat Transfer. - Raheleh Jafari; Sina Razvarz; Cristóbal Vargas-Jarillo; Alexander E. Gegov (ICINCO (2), 2019)

Malicious Loop Detection Using Support Vector Machine. - Zirak Allaf; Mo Adda; Alexander E. Gegov (INISTA, 2019)

Application of Deep Learning for the Diagnosis of Cardiovascular Diseases. - Giovanah Gogi; Alexander E. Gegov (IntelliSys (1), 2019)

Combining Multiple Criteria Decision Making with Vector Manipulation to Decide on the Direction for a Powered Wheelchair. - Malik Haddad; David A. Sanders; Alexander E. Gegov; Mohamed Hassan 001; Ya Huang; Mohamed Al-Mosawi (IntelliSys (1), 2019)

Initial Results from Using Preference Ranking Organization Methods for Enrichment of Evaluations to Help Steer a Powered Wheelchair. - Malik Haddad; David A. Sanders; Giles Tewkesbury; Alexander E. Gegov; Mohamed Hassan 001; Favour Ikwan (IntelliSys (1), 2019)

Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. - Raheleh Jafari; Sina Razvarz; Wen Yu 001; Alexander E. Gegov; Morten Goodwin; Mo Adda (IntelliSys (1), 2019)

Intelligent Approach to Minimizing Power Consumption in a Cloud-Based System Collecting Sensor Data and Monitoring the Status of Powered Wheelchairs. - Ogechukwu Okonor; Mo Adda; Alexander E. Gegov; David A. Sanders; Malik Jamal Musa Haddad; Giles Tewkesbury (IntelliSys (1), 2019)

Task Programming Methodology for Powered Wheelchairs. - Giles Tewkesbury; David A. Sanders; Malik Haddad; Nils Bausch; Alexander E. Gegov; Ogechukwu Okonor (IntelliSys (1), 2019)

Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov; Wen Yu 001 (UKCI, 2019)

Flow Control of Fluid in Pipelines Using PID Controller. - Sina Razvarz; Cristobal Vargas-Jarillo; Raheleh Jafari; Alexander E. Gegov (IEEE Access, 2019)

Fuzzy Network Based Framework for Software Maintainability Prediction. - Xiaowei Wang; Alexander E. Gegov; Farzad Arabikhan; Yuntao Chen; Qiwei Hu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019)

Conventional and Structure Based Sentiment Analysis: A Survey. - Omar Ali; Alexander E. Gegov; Ella Haig; Rinat Khusainov (IJCNN, 2020)

Intelligent Control of the Steering for a Powered Wheelchair Using a Microcomputer. - Malik Haddad; David A. Sanders; Martin Langner; Nils Bausch; Mohamad Thabet; Alexander E. Gegov; Giles Tewkesbury; Favour Ikwan (IntelliSys (3), 2020)

Intelligent System to Analyze Data About Powered Wheelchair Drivers. - Malik Haddad; David Sanders 001; Martin Langner; Mohamad Thabet; Peter Omoarebun; Alexander E. Gegov; Nils Bausch; Khaled Giasin (IntelliSys (3), 2020)

Use of the Analytical Hierarchy Process to Determine the Steering Direction for a Powered Wheelchair. - Malik Haddad; David A. Sanders; Mohamad Thabet; Alexander E. Gegov; Favour Ikwan; Peter Omoarebun; Giles Tewkesbury; Mohamed Hassan 001 (IntelliSys (3), 2020)

Application of Deep Learning in Cardiovascular Medicine using Multiple Biomedical Data. - Giovanah Gogi; Alexander E. Gegov; Mohamed Bader-El-Den; Boriana Vatchova (IEEE Conf. on Intelligent Systems, 2020)

Intelligent HMI and Control for Steering a Powered Wheelchair Using a Raspberry Pi Microcomputer. - Malik Haddad; David A. Sanders; Favour Ikwan; Mohamad Thabet; Martin Langner; Alexander E. Gegov (IEEE Conf. on Intelligent Systems, 2020)

Steering Direction for a Powered-Wheelchair Using the Analytical Hierarchy Process. - Malik Haddad; David A. Sanders; Martin Langner; Favour Ikwan; Giles Tewkesbury; Alexander E. Gegov (IEEE Conf. on Intelligent Systems, 2020)

Initial Results from Using an Intelligent System to Analyse Powered Wheelchair Users' Data. - Malik Haddad; David A. Sanders; Martin Langner; Peter Omoarebun; Mohamad Thabet; Alexander E. Gegov (IEEE Conf. on Intelligent Systems, 2020)

A Survey on Applications of Neuro-Fuzzy Models. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov; Boriana Vatchova (IEEE Conf. on Intelligent Systems, 2020)

Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov; Boriana Vatchova (IEEE Conf. on Intelligent Systems, 2020)

Creation of a NFC Reading System for University Attendance Monitoring with Accessibility Considerations for Powered Wheelchair Users. - Giles Tewkesbury; David A. Sanders; Malik Haddad; Peter Osagie Omoarebun; Alexander E. Gegov; Simon Chester (IEEE Conf. on Intelligent Systems, 2020)

End-to-End Memory Networks: A Survey. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov (SAI (2), 2020)

Applications of Z-Numbers and Neural Networks in Engineering. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov (SAI (3), 2020)

Interval Type-2 Fuzzy Multi Criteria Decision Making Based on Intuitive Multiple Centroid. - Ku Muhammad Naim Ku Khalif; Alexander E. Gegov; Ahmad Syafadhli Abu Bakar; Noor Zuraidin Mohd Safar (SCDM, 2020)

Automated Detection of Racial Microaggressions using Machine Learning. - Omar Ali; Nancy Scheidt; Alexander E. Gegov; Ella Haig; Mo Adda; Benjamin Aziz (SSCI, 2020)

Pipeline Leak Detection and Location based on Fuzzy Controller. - Sina Razvarz; Raheleh Jafari; Cristóbal Vargas-Jarillo; Alexander E. Gegov; Farzad Arabikhan (SSCI, 2020)

Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry. - Ahmad Syafadhli Abu Bakar; Ku Muhammad Naim Ku Khalif; Asma Ahmad Shariff; Alexander E. Gegov; Fauzani Md Salleh (Appl. Intell., 2020)

Confidence levels q-rung orthopair fuzzy aggregation operators and its applications to MCDM problems. - Bhagawati Prasad Joshi; Alexander E. Gegov (Int. J. Intell. Syst., 2020)

Guest Editorial: Deep Fuzzy Models. - Alexander E. Gegov; Uzay Kaymak; João Miguel da Costa Sousa (IEEE Trans. Fuzzy Syst., 2020)

Neural Network Approach to Solving Fuzzy Nonlinear Equations Using Z-Numbers. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov (IEEE Trans. Fuzzy Syst., 2020)

A Novel Technique for Solving Fully Fuzzy Nonlinear Systems Based on Neural Networks. - Raheleh Jafari; Sina Razvarz; Alexander E. Gegov (Vietnam. J. Comput. Sci., 2020)

Flow Modelling and Control in Pipeline Systems - A Formal Systematic Approach - Sina Razvarz; Raheleh Jafari; Alexander E. Gegov (Springer, 2021)

A Next-Generation Telemedicine and Health Advice System. - Shah Siddiqui; Adrian Hopgood; Alice Good; Alexander E. Gegov; Elias Hossain; Md. Wahidur Rahman; Rezowan Ferdous; Md. Murshedul Arifeen; Zakir Khan (ICICT (2), 2021)

Light Syntax Parsing and Fuzzy Systems for Rhetorical Structure Theory Text Segmentation. - Omar Ali; Alexander E. Gegov; Ella Haig; Rinat Khusainov (INISTA, 2021)

Are Human Drivers a Liability or an Asset? - David A. Sanders; Malik Haddad; Giles Tewkesbury; Alexander E. Gegov; Mo Adda (IntelliSys (1), 2021)

Facial Recognition Software for Identification of Powered Wheelchair Users. - Giles Tewkesbury; Samuel Lifton; Malik Haddad; David A. Sanders; Alexander E. Gegov (IntelliSys (1), 2021)

Leakage Detection for Pipe Systems with Fuzzy Monitoring Strategy. - Raheleh Jafari; Sina Razvarz; Cristóbal Vargas-Jarillo; Alexander E. Gegov; Omar Ali (SSCI, 2021)

Numerical methods for solving fuzzy equations: A survey. - Raheleh Jafari; Wen Yu 001; Sina Razvarz; Alexander E. Gegov (Fuzzy Sets Syst., 2021)

Z-Hesitant Fuzzy Network Model with Reliability and Transparency of Information for Decision Systems. - Abdul Malek Yaakob; Shahira Shafie; Alexander E. Gegov; Siti Fatimah Abdul Rahman (Int. J. Comput. Intell. Syst., 2021)

Intelligent Assistive Sensors and Smart Systems for the Control and Analysis of Driver Reaction Times. - David A. Sanders; Malik Haddad; Giles Tewkesbury; Tom Barker; Martin Langner; Alexander E. Gegov (Advances in Intelligent Systems Research and Innovation, 2022)

Fuzzy Control of Traffic Junctions in Undersaturated Urban Networks. - Boriana Vatchova; Mo Adda; Yordanka Boneva; Alexander E. Gegov (BlackSeaCom, 2022)

Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review. - Shah Siddiqui; Md. Murshedul Arifeen; Adrian Hopgood; Alice Good; Alexander E. Gegov; Elias Hossain; Md. Wahidur Rahman; Shazzad Hossain; Sabila Al Jannat; Rezowan Ferdous; Shamsul Masum (SN Comput. Sci., 2022)

Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A Mixed Method Protocol. - Omobolanle Omisade; Alexander E. Gegov; Shang-Ming Zhou; Alice Good; Catherine Tryfona; Sandeep Singh Sengar; Amie-Louise Prior; Bangli Liu; Taiwo Adedeji; Carrie M. Toptan (FICTA (2), 2023)

Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process. - Farzad Arabikhan; Alexander E. Gegov; Rahim Taheri; Negar Akbari; Mohamed Bader-El-Den (ICIKS, 2023)

Application of Fuzzy Decision Support Systems in IT Industry Functioning. - Dudnyk Oleksii; Sokolovska Zoia; Alexander E. Gegov; Farzad Arabikhan (ICIKS, 2023)

Robust Aggregation Function in Federated Learning. - Rahim Taheri; Farzad Arabikhan; Alexander E. Gegov; Negar Akbari (ICIKS, 2023)

The Application of Z-Numbers in Fuzzy Decision Making: The State of the Art. - Nik Muhammad Farhan Hakim Nik Badrul Alam; Ku Muhammad Naim Ku Khalif; Nor Izzati Jaini; Alexander E. Gegov (Inf., 2023)

Large-Scale Group Decision-Making Method Using Hesitant Fuzzy Rule-Based Network for Asset Allocation. - Abdul Malek Yaakob; Shahira Shafie; Alexander E. Gegov; Siti Fatimah Abdul Rahman; Ku Muhammad Naim Ku Khalif (Inf., 2023)

Agile Project Status Prediction Using Interpretable Machine Learning. - AliAkbar ForouzeshNejad; Farzad Arabikhan; Nigel Williams; Alexander E. Gegov; Omer Faruk Sari; Mohamed Bader (IS, 2024)

Detecting Violent Behaviour on Edge Using Convolutional Neural Networks. - Gelayol Golcarenarenji; Rinat Khusainov; Alexander E. Gegov; Ignacio Martinez-Alpiste (IS, 2024)

A Fuzzy Expert System Based Extension of SWI-Prolog for Evaluating AI Ethics. - Harriet Griffin; Mani Ghahremani; Alexander E. Gegov (IS, 2024)

Leveraging Structural Causal Models for Bias Detection and Feature Adjustment in Machine Learning Predictions. - Bern Igoche Igoche; Olumuyiwa Matthew; Peter Bednár; Alexander E. Gegov (IS, 2024)

Deep Neural Networks for Anti Money Laundering Using Explainable Artificial Intelligence. - Giannis Konstantinidis; Alexander E. Gegov (IS, 2024)

Decision Tree Ensemble Based Classification of Terrorist Attacks Using eXplainable Artificial Intelligence. - Odartey Lamptey; Djamila Ouelhadj; Anna Rösner; Adrian Hopgood; Alexander E. Gegov; Serge Da Deppo (IS, 2024)

"Hybrid Machine Learning Model for Phishing Detection". - Perceval Maturure; Asim Ali; Alexander E. Gegov (IS, 2024)

Machine Learning-Based Classification of Extremism Using Explainable Artificial Intelligence. - Anna Rösner; Alexander E. Gegov; Adrian Hopgood; Odartey Lamptey; Djamila Ouelhadj; Serge Da Deppo (IS, 2024)

Relation Based Knowledge Extraction for Animal Farm Management. - Boriana Vatchova; Yordanka Boneva; Alexander E. Gegov (IS, 2024)

Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks. - Rahim Taheri; Mohammad Shojafar; Farzad Arabikhan; Alexander E. Gegov (Comput. Secur., 2024)

Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification: A Case Study for COVID-19. - Ku Muhammad Naim Ku Khalif; Woo Chaw Seng; Alexander E. Gegov; Ahmad Syafadhli Abu Bakar; Nur Adibah Shahrul (Inf., 2024)

Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI). - Hussein A. Abbass; Keeley A. Crockett; Jonathan M. Garibaldi; Alexander E. Gegov; Uzay Kaymak; João Miguel da Costa Sousa (IEEE Trans. Artif. Intell., 2024)