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ORCIDAlexander E. Gegov
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- affiliation: University of Portsmouth, School of Computing
- affiliation: Bulgarian Academy of Sciences, Institute of Control and System Research
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2020 – today
- 2024
[j42]Rahim Taheri
, Mohammad Shojafar, Farzad Arabikhan, Alexander E. Gegov:
Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks. Comput. Secur. 146: 104035 (2024)- [j41]Ku Muhammad Naim Ku Khalif, Woo Chaw Seng, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar, Nur Adibah Shahrul:
Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification: A Case Study for COVID-19. Inf. 15(1): 58 (2024) - [j40]Hussein A. Abbass, Keeley A. Crockett, Jonathan M. Garibaldi, Alexander E. Gegov, Uzay Kaymak, João Miguel da Costa Sousa:
Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI). IEEE Trans. Artif. Intell. 5(9): 4310-4314 (2024) - [c88]Ali Akbar ForouzeshNejad, Farzad Arabikhan, Nigel Williams, Alexander E. Gegov, Omer Sari, Mohamed Bader:
Agile Project Status Prediction Using Interpretable Machine Learning. IS 2024: 1-8 - [c87]Gelayol Golcarenarenji, Rinat Khusainov, Alexander E. Gegov, Ignacio Martinez-Alpiste:
Detecting Violent Behaviour on Edge Using Convolutional Neural Networks. IS 2024: 1-6 - [c86]Harriet Griffin, Mani Ghahremani, Alexander E. Gegov:
A Fuzzy Expert System Based Extension of SWI-Prolog for Evaluating AI Ethics. IS 2024: 1-6 - [c85]Bern Igoche Igoche, Olumuyiwa Matthew, Peter Bednár, Alexander E. Gegov:
Leveraging Structural Causal Models for Bias Detection and Feature Adjustment in Machine Learning Predictions. IS 2024: 1-7 - [c84]Giannis Konstantinidis, Alexander E. Gegov:
Deep Neural Networks for Anti Money Laundering Using Explainable Artificial Intelligence. IS 2024: 1-6 - [c83]Odartey Lamptey, Djamila Ouelhadj, Anna Rösner, Adrian Hopgood, Alexander E. Gegov, Serge Da Deppo:
Decision Tree Ensemble Based Classification of Terrorist Attacks Using eXplainable Artificial Intelligence. IS 2024: 1-6 - [c82]Perceval Maturure, Asim Ali, Alexander E. Gegov:
"Hybrid Machine Learning Model for Phishing Detection". IS 2024: 1-7 - [c81]Anna Rösner, Alexander E. Gegov, Adrian Hopgood, Odartey Lamptey, Djamila Ouelhadj, Serge Da Deppo:
Machine Learning-Based Classification of Extremism Using Explainable Artificial Intelligence. IS 2024: 1-7 - [c80]Boriana Vatchova, Yordanka Boneva, Alexander E. Gegov:
Relation Based Knowledge Extraction for Animal Farm Management. IS 2024: 1-5 - 2023
- [j39]Nik Muhammad Farhan Hakim Nik Badrul Alam, Ku Muhammad Naim Ku Khalif, Nor Izzati Jaini, Alexander E. Gegov:
The Application of Z-Numbers in Fuzzy Decision Making: The State of the Art. Inf. 14(7): 400 (2023) - [j38]Abdul Malek Yaakob, Shahira Shafie, Alexander E. Gegov, Siti Fatimah Abdul Rahman, Ku Muhammad Naim Ku Khalif:
Large-Scale Group Decision-Making Method Using Hesitant Fuzzy Rule-Based Network for Asset Allocation. Inf. 14(11): 588 (2023) - [c79]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:
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. FICTA (2) 2023: 31-44 - [c78]Rahim Taheri, Farzad Arabikhan, Alexander E. Gegov, Negar Akbari:
Robust Aggregation Function in Federated Learning. ICIKS 2023: 168-175 - [c77]Dudnyk Oleksii, Sokolovska Zoia, Alexander E. Gegov, Farzad Arabikhan:
Application of Fuzzy Decision Support Systems in IT Industry Functioning. ICIKS 2023: 283-295 - [c76]Farzad Arabikhan, Alexander E. Gegov, Rahim Taheri, Negar Akbari, Mohamed Bader-El-Den:
Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process. ICIKS 2023: 296-306 - 2022
- [j37]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:
Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review. SN Comput. Sci. 3(5): 397 (2022) - [c75]Boriana Vatchova, Mo Adda, Yordanka Boneva, Alexander E. Gegov:
Fuzzy Control of Traffic Junctions in Undersaturated Urban Networks. BlackSeaCom 2022: 96-101 - [p2]David A. Sanders, Malik Haddad, Giles Tewkesbury, Tom Barker, Martin Langner, Alexander E. Gegov:
Intelligent Assistive Sensors and Smart Systems for the Control and Analysis of Driver Reaction Times. Advances in Intelligent Systems Research and Innovation 2022: 185-203 - 2021
- [b3]Sina Razvarz, Raheleh Jafari, Alexander E. Gegov:
Flow Modelling and Control in Pipeline Systems - A Formal Systematic Approach. Springer 2021, ISBN 978-3-030-59245-5, pp. 1-198 - [j36]Raheleh Jafari, Wen Yu, Sina Razvarz, Alexander E. Gegov:
Numerical methods for solving fuzzy equations: A survey. Fuzzy Sets Syst. 404: 1-22 (2021) - [j35]Abdul Malek Yaakob, Shahira Shafie, Alexander E. Gegov, Siti Fatimah Abdul Rahman:
Z-Hesitant Fuzzy Network Model with Reliability and Transparency of Information for Decision Systems. Int. J. Comput. Intell. Syst. 14(1): 176 (2021) - [c74]Shah Siddiqui, Adrian Hopgood, Alice Good, Alexander E. Gegov, Elias Hossain, Md. Wahidur Rahman, Rezowan Ferdous, Md. Murshedul Arifeen, Zakir Khan:
A Next-Generation Telemedicine and Health Advice System. ICICT (2) 2021: 981-989 - [c73]Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov:
Light Syntax Parsing and Fuzzy Systems for Rhetorical Structure Theory Text Segmentation. INISTA 2021: 1-6 - [c72]Giles Tewkesbury, Samuel Lifton, Malik Haddad, David A. Sanders, Alexander E. Gegov:
Facial Recognition Software for Identification of Powered Wheelchair Users. IntelliSys (1) 2021: 630-639 - [c71]David A. Sanders, Malik Haddad, Giles Tewkesbury, Alexander E. Gegov, Mo Adda:
Are Human Drivers a Liability or an Asset? IntelliSys (1) 2021: 805-816 - [c70]Raheleh Jafari, Sina Razvarz, Cristóbal Vargas-Jarillo, Alexander E. Gegov, Omar Ali:
Leakage Detection for Pipe Systems with Fuzzy Monitoring Strategy. SSCI 2021: 1-6 - 2020
- [j34]Ahmad Syafadhli Abu Bakar, Ku Muhammad Naim Ku Khalif, Asma Ahmad Shariff, Alexander E. Gegov, Fauzani Md Salleh:
Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry. Appl. Intell. 50(1): 157-168 (2020) - [j33]Bhagawati Prasad Joshi, Alexander E. Gegov:
Confidence levels q-rung orthopair fuzzy aggregation operators and its applications to MCDM problems. Int. J. Intell. Syst. 35(1): 125-149 (2020) - [j32]Alexander E. Gegov, Uzay Kaymak, João Miguel da Costa Sousa:
Guest Editorial: Deep Fuzzy Models. IEEE Trans. Fuzzy Syst. 28(7): 1191-1194 (2020) - [j31]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
Neural Network Approach to Solving Fuzzy Nonlinear Equations Using Z-Numbers. IEEE Trans. Fuzzy Syst. 28(7): 1230-1241 (2020) - [j30]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
A Novel Technique for Solving Fully Fuzzy Nonlinear Systems Based on Neural Networks. Vietnam. J. Comput. Sci. 7(1): 93-107 (2020) - [c69]Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov:
Conventional and Structure Based Sentiment Analysis: A Survey. IJCNN 2020: 1-8 - [c68]Malik Haddad, David Sanders, Martin Langner, Mohamad Thabet, Peter Omoarebun, Alexander E. Gegov, Nils Bausch, Khaled Giasin:
Intelligent System to Analyze Data About Powered Wheelchair Drivers. IntelliSys (3) 2020: 584-593 - [c67]Malik Haddad, David A. Sanders, Martin Langner, Nils Bausch, Mohamad Thabet, Alexander E. Gegov, Giles Tewkesbury, Favour Ikwan:
Intelligent Control of the Steering for a Powered Wheelchair Using a Microcomputer. IntelliSys (3) 2020: 594-603 - [c66]Malik Haddad, David A. Sanders, Mohamad Thabet, Alexander E. Gegov, Favour Ikwan, Peter Omoarebun, Giles Tewkesbury, Mohamed Hassan:
Use of the Analytical Hierarchy Process to Determine the Steering Direction for a Powered Wheelchair. IntelliSys (3) 2020: 617-630 - [c65]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Boriana Vatchova:
A Survey on Applications of Neuro-Fuzzy Models. IEEE Conf. on Intelligent Systems 2020: 148-152 - [c64]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Boriana Vatchova:
Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art. IEEE Conf. on Intelligent Systems 2020: 178-182 - [c63]Giovanah Gogi, Alexander E. Gegov, Mohamed Bader-El-Den, Boriana Vatchova:
Application of Deep Learning in Cardiovascular Medicine using Multiple Biomedical Data. IEEE Conf. on Intelligent Systems 2020: 200-204 - [c62]Malik Haddad, David A. Sanders, Favour Ikwan, Mohamad Thabet, Martin Langner, Alexander E. Gegov:
Intelligent HMI and Control for Steering a Powered Wheelchair Using a Raspberry Pi Microcomputer. IEEE Conf. on Intelligent Systems 2020: 223-228 - [c61]Malik Haddad, David A. Sanders, Martin Langner, Favour Ikwan, Giles Tewkesbury, Alexander E. Gegov:
Steering Direction for a Powered-Wheelchair Using the Analytical Hierarchy Process. IEEE Conf. on Intelligent Systems 2020: 229-234 - [c60]Giles Tewkesbury, David A. Sanders, Malik Haddad, Peter Osagie Omoarebun, Alexander E. Gegov, Simon Chester:
Creation of a NFC Reading System for University Attendance Monitoring with Accessibility Considerations for Powered Wheelchair Users. IEEE Conf. on Intelligent Systems 2020: 235-240 - [c59]Malik Haddad, David A. Sanders, Martin Langner, Peter Omoarebun, Mohamad Thabet, Alexander E. Gegov:
Initial Results from Using an Intelligent System to Analyse Powered Wheelchair Users' Data. IEEE Conf. on Intelligent Systems 2020: 241-245 - [c58]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
Applications of Z-Numbers and Neural Networks in Engineering. SAI (3) 2020: 12-25 - [c57]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
End-to-End Memory Networks: A Survey. SAI (2) 2020: 291-300 - [c56]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar, Noor Zuraidin Mohd Safar:
Interval Type-2 Fuzzy Multi Criteria Decision Making Based on Intuitive Multiple Centroid. SCDM 2020: 211-221 - [c55]Sina Razvarz, Raheleh Jafari, Cristóbal Vargas-Jarillo, Alexander E. Gegov, Farzad Arabikhan:
Pipeline Leak Detection and Location based on Fuzzy Controller. SSCI 2020: 1944-1949 - [c54]Omar Ali, Nancy Scheidt, Alexander E. Gegov, Ella Haig, Mo Adda, Benjamin Aziz:
Automated Detection of Racial Microaggressions using Machine Learning. SSCI 2020: 2477-2484 - [e3]Zhaojie Ju, Longzhi Yang, Chenguang Yang, Alexander E. Gegov, Dalin Zhou:
Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK. Advances in Intelligent Systems and Computing 1043, Springer 2020, ISBN 978-3-030-29932-3 [contents]
2010 – 2019
- 2019
- [j29]Sina Razvarz, Cristobal Vargas-Jarillo, Raheleh Jafari, Alexander E. Gegov:
Flow Control of Fluid in Pipelines Using PID Controller. IEEE Access 7: 25673-25680 (2019) - [j28]Xiaowei Wang, Alexander E. Gegov, Farzad Arabikhan, Yuntao Chen, Qiwei Hu:
Fuzzy Network Based Framework for Software Maintainability Prediction. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(5): 841-862 (2019) - [c53]Zirak Allaf, Mo Adda, Alexander E. Gegov:
TrapMP: Malicious Process Detection By Utilising Program Phase Detection. Cyber Security 2019: 1-8 - [c52]Raheleh Jafari, Sina Razvarz, Cristóbal Vargas-Jarillo, Alexander E. Gegov:
The Effect of Baffles on Heat Transfer. ICINCO (2) 2019: 607-612 - [c51]Zirak Allaf, Mo Adda, Alexander E. Gegov:
Malicious Loop Detection Using Support Vector Machine. INISTA 2019: 1-6 - [c50]Raheleh Jafari, Sina Razvarz, Wen Yu, Alexander E. Gegov, Morten Goodwin, Mo Adda:
Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. IntelliSys (1) 2019: 228-236 - [c49]Malik Haddad, David A. Sanders, Giles Tewkesbury, Alexander E. Gegov, Mohamed Hassan, Favour Ikwan:
Initial Results from Using Preference Ranking Organization Methods for Enrichment of Evaluations to Help Steer a Powered Wheelchair. IntelliSys (1) 2019: 648-661 - [c48]Malik Haddad, David A. Sanders, Alexander E. Gegov, Mohamed Hassan, Ya Huang, Mohamed Al-Mosawi:
Combining Multiple Criteria Decision Making with Vector Manipulation to Decide on the Direction for a Powered Wheelchair. IntelliSys (1) 2019: 680-693 - [c47]Ogechukwu Okonor, Mo Adda, Alexander E. Gegov, David A. Sanders, Malik Jamal Musa Haddad, Giles Tewkesbury:
Intelligent Approach to Minimizing Power Consumption in a Cloud-Based System Collecting Sensor Data and Monitoring the Status of Powered Wheelchairs. IntelliSys (1) 2019: 694-710 - [c46]Giles Tewkesbury, David A. Sanders, Malik Haddad, Nils Bausch, Alexander E. Gegov, Ogechukwu Okonor:
Task Programming Methodology for Powered Wheelchairs. IntelliSys (1) 2019: 711-720 - [c45]Giovanah Gogi, Alexander E. Gegov:
Application of Deep Learning for the Diagnosis of Cardiovascular Diseases. IntelliSys (1) 2019: 781-791 - [c44]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Wen Yu:
Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey. UKCI 2019: 3-14 - [e2]Ahmad Lotfi, Hamid Bouchachia, Alexander E. Gegov, Caroline S. Langensiepen, T. Martin McGinnity:
Advances in Computational Intelligence Systems - Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Advances in Intelligent Systems and Computing 840, Springer 2019, ISBN 978-3-319-97981-6 [contents] - 2018
- [j27]Abdul Malek Yaakob, Alexander E. Gegov, Siti Fatimah Abdul Rahman:
Selection of alternatives using fuzzy networks with rule base aggregation. Fuzzy Sets Syst. 341: 123-144 (2018) - [c43]Sina Razvarz, Raheleh Jafari, Ole-Christoffer Granmo, Alexander E. Gegov:
Solution of Dual Fuzzy Equations Using a New Iterative Method. ACIIDS (2) 2018: 245-255 - [c42]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
A New Computational Method for Solving Fully Fuzzy Nonlinear Systems. ICCCI (1) 2018: 503-512 - [c41]David A. Sanders, Alexander E. Gegov, Malik Haddad, Favour Ikwan, David Wiltshire, Yong Chai Tan:
A Rule-Based Expert System to Decide on Direction and Speed of a Powered Wheelchair. IntelliSys (1) 2018: 822-838 - [c40]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov:
Solving Differential Equations with Z-Numbers by Utilizing Fuzzy Sumudu Transform. IntelliSys (2) 2018: 1125-1138 - [c39]David A. Sanders, Alexander E. Gegov, Giles Eric Tewkesbury, Rinat Khusainov:
Sharing Driving Between a Vehicle Driver and a Sensor System Using Trust-Factors to Set Control Gains. IntelliSys (1) 2018: 1182-1195 - [c38]David Adrian Sanders, David Charles Robinson, Mohamed Hassan, Malik Haddad, Alexander E. Gegov, Nadia Ahmed:
Making Decisions About Saving Energy in Compressed Air Systems Using Ambient Intelligence and Artificial Intelligence. IntelliSys (2) 2018: 1229-1236 - [c37]Malik Haddad, David A. Sanders, Nils Bausch, Giles Tewkesbury, Alexander E. Gegov, Mohamed Hassan:
Learning to Make Intelligent Decisions Using an Expert System for the Intelligent Selection of Either PROMETHEE II or the Analytical Hierarchy Process. IntelliSys (1) 2018: 1303-1316 - [c36]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Satyam Paul:
Modeling and Control of Uncertain Nonlinear Systems. IEEE Conf. on Intelligent Systems 2018: 168-173 - [c35]Martial Tatchum, Alexander E. Gegov, Raheleh Jafari, Sina Razvarz:
Parallel Distributed Compensation for Voltage Controlled Active Magnetic Bearing System using Integral Fuzzy Model. IEEE Conf. on Intelligent Systems 2018: 190-198 - [c34]Sina Razvarz, Raheleh Jafari, Alexander E. Gegov:
Solving Partial Differential Equations with Bernstein Neural Networks. UKCI 2018: 57-70 - [c33]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Satyam Paul:
Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers. UKCI 2018: 96-107 - [c32]Zirak Allaf, Mo Adda, Alexander E. Gegov:
ConfMVM: A Hardware-Assisted Model to Confine Malicious VMs. UKSim 2018: 49-54 - 2017
- [j26]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Rule Based Networks: An Efficient and Interpretable Representation of Computational Models. J. Artif. Intell. Soft Comput. Res. 7(2): 111 (2017) - [j25]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar:
Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid. J. Intell. Fuzzy Syst. 33(2): 791-805 (2017) - [j24]Alexander E. Gegov, Nedyalko Petrov, David A. Sanders, Boriana Vatchova:
Modular rule base fuzzy networks for linguistic composition based modelling. Int. J. Knowl. Based Intell. Eng. Syst. 21(2): 53-67 (2017) - [j23]Alexander E. Gegov, Nedyalko Petrov, David A. Sanders, Boriana Vatchova:
Boolean matrix equations for node identification in fuzzy rule based networks. Int. J. Knowl. Based Intell. Eng. Syst. 21(2): 69-83 (2017) - [j22]Alexander E. Gegov, David A. Sanders, Boriana Vatchova:
Aggregation of inconsistent rules for fuzzy rule base simplification. Int. J. Knowl. Based Intell. Eng. Syst. 21(3): 135-145 (2017) - [j21]Alexander E. Gegov, Farzad Arabikhan, David A. Sanders, Boriana Vatchova, Maria T. Vasileva:
Fuzzy networks with feedback rule bases for complex systems modelling. Int. J. Knowl. Based Intell. Eng. Syst. 21(4): 211-225 (2017) - [j20]Abdul Malek Yaakob, Antoaneta Serguieva, Alexander E. Gegov:
FN-TOPSIS: Fuzzy Networks for Ranking Traded Equities. IEEE Trans. Fuzzy Syst. 25(2): 315-332 (2017) - [c31]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar:
Z-TOPSIS approach for performance assessment using fuzzy similarity. FUZZ-IEEE 2017: 1-6 - [c30]Abdul Malek Yaakob, Alexander E. Gegov, Siti Fatimah Abdul Rahman:
Decision making problem solving using fuzzy networks with rule base aggregation. FUZZ-IEEE 2017: 1-6 - [c29]Zirak Allaf, Mo Adda, Alexander E. Gegov:
A Comparison Study on Flush+Reload and Prime+Probe Attacks on AES Using Machine Learning Approaches. UKCI 2017: 203-213 - [e1]Plamen Angelov, Alexander E. Gegov, Chrisina Jayne, Qiang Shen:
Advances in Computational Intelligence Systems - Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster, UK. Advances in Intelligent Systems and Computing 513, Springer 2017, ISBN 978-3-319-46561-6 [contents] - 2016
- [j19]Abdul Malek Yaakob, Alexander E. Gegov:
Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers. Int. J. Comput. Intell. Syst. 9(2): 311-324 (2016) - [j18]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Collaborative rule generation: An ensemble learning approach. J. Intell. Fuzzy Syst. 30(4): 2277-2287 (2016) - [j17]Alexander E. Gegov, David A. Sanders, Boriana Vatchova:
Mamdani fuzzy networks with feedforward rule bases for complex systems modelling. J. Intell. Fuzzy Syst. 30(5): 2623-2637 (2016) - [c28]Abdul Malek Yaakob, Alexander E. Gegov, Mohamed Bader-El-Den, Siti Fatimah Abdul Rahman:
Fuzzy systems with multiple rule bases for selection of alternatives using TOPSIS. FUZZ-IEEE 2016: 2083-2090 - [c27]David Adrian Sanders, Jorge Bergasa-Suso, Rinat Khusainov, Alexander E. Gegov, Simon Chester, Nils Bausch:
Introducing dead bands within two-dimensional clusters of user data to improve data classification. HSI 2016: 14-20 - [c26]David A. Sanders, Martin Langner, Alexander E. Gegov, David Ndzi, Heather M. Sanders, Giles Tewkesbury:
Tele-operator performance and their perception of system time lags when completing mobile robot tasks. HSI 2016: 236-242 - [c25]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Nature and biology inspired approach of classification towards reduction of bias in machine learning. ICMLC 2016: 588-593 - [c24]David Adrian Sanders, Heather May Sanders, Alexander E. Gegov, David Ndzi:
Rule-Based System to Assist a Tele-Operator with Driving a Mobile Robot. IntelliSys (2) 2016: 599-615 - [c23]Han Liu, Alexander E. Gegov:
Rule based systems and networks: Deterministic and fuzzy approaches. IEEE Conf. on Intelligent Systems 2016: 316-321 - [c22]Adeel Ahmed, David J. Brown, Alexander E. Gegov:
Dynamic Resource Allocation Through Workload Prediction for Energy Efficient Computing. UKCI 2016: 35-44 - [c21]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Complexity Control in Rule Based Models for Classification in Machine Learning Context. UKCI 2016: 125-143 - [p1]Han Liu, Mihaela Cocea, Alexander E. Gegov:
Interpretability of Computational Models for Sentiment Analysis. Sentiment Analysis and Ontology Engineering 2016: 199-220 - 2015
- [j16]Alexander E. Gegov, Farzad Arabikhan, Nedyalko Petrov:
Linguistic composition based modelling by fuzzy networks with modular rule bases. Fuzzy Sets Syst. 269: 1-29 (2015) - [j15]Ahmad Syafadhli Abu Bakar, Alexander E. Gegov:
Multi-Layer Decision Methodology For Ranking Z-Numbers. Int. J. Comput. Intell. Syst. 8(2): 395-406 (2015) - [j14]Alexander E. Gegov, Farzad Arabikhan, David A. Sanders:
Rule base simplification in fuzzy systems by aggregation of inconsistent rules. J. Intell. Fuzzy Syst. 28(3): 1331-1343 (2015) - [j13]Alexander E. Gegov, Ahmad Syafadhli Abu Bakar:
Validation of methods for ranking fuzzy numbers in decision making. J. Intell. Fuzzy Syst. 29(3): 1139-1149 (2015) - [j12]Alexander E. Gegov, David A. Sanders, Boriana Vatchova:
Complexity management methodology for fuzzy systems with feedforward rule bases. Int. J. Knowl. Based Intell. Eng. Syst. 19(2): 83-95 (2015) - [c20]Ahmad Syafadhli Abu Bakar, Alexander E. Gegov:
Intuition based Decision Methodology for Ranking Interval Type - II Fuzzy Numbers. IFSA-EUSFLAT 2015 - [c19]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov:
Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid. IFSA-EUSFLAT 2015 - [c18]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Network based rule representation for knowledge discovery and predictive modelling. FUZZ-IEEE 2015: 1-8 - [c17]Abdul Malek Yaakob, Alexander E. Gegov:
Fuzzy rule based approach with z-numbers for selection of alternatives using TOPSIS. FUZZ-IEEE 2015: 1-8 - [c16]David Adrian Sanders, Giles Tewkesbury, Alexander E. Gegov:
Fast Transformations to Provide Simple Geometric Models of Moving Objects. ICIRA (1) 2015: 604-615 - [c15]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Hybrid ensemble learning approach for generation of classification rules. ICMLC 2015: 377-382 - [c14]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov:
Bayesian Logistic Regression using Vectorial Centroid for Interval Type-2 Fuzzy Sets. IJCCI (FCTA) 2015: 69-79 - [c13]Abdul Malek Yaakob, Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Siti Fatimah Abdul Rahman:
Interval Type 2- Fuzzy Rule based System Approach for Selection of Alternatives using TOPSIS. IJCCI (FCTA) 2015: 112-120 - [c12]Ahmad Syafadhli Abu Bakar, Ku Muhammad Naim Ku Khalif, Alexander E. Gegov:
Ranking of Interval Type-2 Fuzzy Numbers based on Centroid Point and Spread. IJCCI (FCTA) 2015: 131-140 - [c11]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov:
Implementing Adaptive Vectorial Centroid in Bayesian Logistic Regression for Interval Type-2 Fuzzy Sets. IJCCI (Selected Papers) 2015: 315-333 - [c10]David Adrian Sanders, Alexander E. Gegov:
Post Processing Method that Acts on Two-dimensional Clusters of User Data to Produce Dead Bands and Improve Classification. WEBIST 2015: 267-272 - 2014
- [j11]Alexander E. Gegov, Neelamugilan Gobalakrishnan, David A. Sanders:
Filtration of Non-Monotonic Rules for Fuzzy Rule Base Compression. Int. J. Comput. Intell. Syst. 7(2): 382-400 (2014) - [j10]Alexander E. Gegov, Nedyalko Petrov, Emil Gegov:
Rule base identification in fuzzy networks by Boolean matrix equations. J. Intell. Fuzzy Syst. 26(1): 405-419 (2014) - [j9]Alexander E. Gegov, David A. Sanders, Boriana Vatchova:
Complexity management methodology for fuzzy systems with feedback rule bases. J. Intell. Fuzzy Syst. 26(1): 451-464 (2014) - [j8]Ahmad Syafadhli Abu Bakar, Alexander E. Gegov:
Ranking of fuzzy numbers based on centroid point and spread. J. Intell. Fuzzy Syst. 27(3): 1179-1186 (2014) - [j7]Alexander E. Gegov, Neelamugilan Gobalakrishnan, David A. Sanders:
Rule base compression in fuzzy systems by filtration of non-monotonic rules. J. Intell. Fuzzy Syst. 27(4): 2029-2043 (2014) - [c9]Han Liu, Alexander E. Gegov, Frederic T. Stahl:
Categorization and Construction of Rule Based Systems. EANN 2014: 183-194 - 2012
- [j6]Bongile Mzenda, Alexander E. Gegov, David J. Brown, Nedyalko Petrov:
Deriving margins in prostate cancer radiotherapy treatment: comparison of neural network and fuzzy logic models. Int. J. Bioinform. Res. Appl. 8(5/6): 325-341 (2012) - [c8]Boriana Vatchova, Alexander E. Gegov:
Knowledge extraction methods for complex processes operating under uncertainty. IEEE Conf. of Intelligent Systems 2012: 9-13 - [c7]Alexander E. Gegov:
Advances in fuzzy systems and networks. IEEE Conf. of Intelligent Systems 2012: 33-40 - 2011
- [j5]David A. Sanders, Ian Stott, Jasper Graham-Jones, Alexander E. Gegov, Giles Tewkesbury:
Expert system to interpret hand tremor and provide joystick position signals for powered wheelchairs with ultrasonic sensor systems. Ind. Robot 38(6): 585-598 (2011) - [c6]Bongile Mzenda, David J. Brown, Alexander E. Gegov:
Improving the transparency in fuzzy modelling of radiotherapy margins in cancer treatment. CIBCB 2011: 146-153 - [c5]Alexander E. Gegov:
Fuzzy rule based networks. FOCI 2011: 1-6 - 2010
- [b2]Alexander E. Gegov:
Fuzzy Networks for Complex Systems - A Modular Rule Base Approach. Studies in Fuzziness and Soft Computing 259, Springer 2010, ISBN 978-3-642-15599-4, pp. 1-277 - [j4]David A. Sanders, Jasper Graham-Jones, Alexander E. Gegov:
Improving ability of tele-operators to complete progressively more difficult mobile robot paths using simple expert systems and ultrasonic sensors. Ind. Robot 37(5): 431-440 (2010) - [c4]Bongile Mzenda, Mir Hosseini-Ashrafi, Alexander E. Gegov, David J. Brown:
Implementation of a fuzzy model for computation of margins in cancer treatment. FUZZ-IEEE 2010: 1-8 - [c3]Alexander E. Gegov, Nedyalko Petrov, Boriana Vatchova:
Advanced modelling of complex processes by rule based networks. IEEE Conf. of Intelligent Systems 2010: 197-202
2000 – 2009
- 2007
- [b1]Alexander E. Gegov:
Complexity Management in Fuzzy Systems - A Rule Base Compression Approach. Studies in Fuzziness and Soft Computing 211, Springer 2007, ISBN 978-3-540-38883-8, pp. 1-344 [contents] - [c2]Alexander E. Gegov, Neelamugilan Gobalakrishnan:
Advanced Inference in Fuzzy Systems by Rule Base Compression. EUSFLAT Conf. (2) 2007: 111-118 - 2004
- [j3]Alexander E. Gegov, Daniela Parashkevova, Krum Ljubenov:
Analysis of systems under probabilistic and fuzzy uncertainty using multi-valued logic. Int. J. Gen. Syst. 33(2-3): 153-162 (2004) - 2001
- [c1]Alexander E. Gegov:
Intelligent modelling of the indoor climate in buildings by soft computing. EUSFLAT Conf. 2001: 312-315
1990 – 1999
- 1998
- [j2]Alexander E. Gegov:
Multilayer fuzzy control of multivariable systems by direct decomposition. Int. J. Syst. Sci. 29(8): 851-862 (1998) - 1997
- [j1]Alexander E. Gegov:
Multilayer fuzzy control of multivariable systems by active decomposition. Int. J. Intell. Syst. 12(1): 83-103 (1997)
Coauthor Index
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