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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Arevalillo-Herráez, M., Ayesh, A., Santos, O.C. and Arnau-González, P. Combining Supervised and Unsupervised Learning to Discover Emotional Classes 2017 Proceedings of the 25th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2017)  inproceedings  
BibTeX:
@inproceedings{Arevalillo-Herraez2017,
  author = {Miguel Arevalillo-Herráez and Aladdin Ayesh and Santos, O. C. and Arnau-González, P.},
  title = {Combining Supervised and Unsupervised Learning to Discover Emotional Classes},
  booktitle = {Proceedings of the 25th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2017)},
  year = {2017}
}
Ayesh, A., Arevalillo-Herráez, M. and Marco-Giménez, L. Class Discovery from Semi-Structured EGG Data for Affective Computing and Personalisation 2017 The 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2017)  inproceedings  
BibTeX:
@inproceedings{Ayesh2017,
  author = {Aladdin Ayesh and Miguel Arevalillo-Herráez and Luis Marco-Giménez},
  title = {Class Discovery from Semi-Structured EGG Data for Affective Computing and Personalisation},
  booktitle = {The 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2017)},
  year = {2017}
}
Lim, Y.M., Ayesh, A., Stacey, M. and Tan, L.P. The Effects of Task Demand and External Stimuli on Learner's Stress Perception and Job Performance 2017 Empowering 21st Century Learners Through Holistic and Enterprising Learning: Selected Papers from Tunku Abdul Rahman University College International Conference 2016, pp. 89-101  inbook DOI URL 
BibTeX:
@inbook{Lim2017,
  author = {Lim, Yee Mei and Ayesh, Aladdin and Stacey, Martin and Tan, Li Peng},
  title = {The Effects of Task Demand and External Stimuli on Learner's Stress Perception and Job Performance},
  booktitle = {Empowering 21st Century Learners Through Holistic and Enterprising Learning: Selected Papers from Tunku Abdul Rahman University College International Conference 2016},
  publisher = {Springer Singapore},
  year = {2017},
  pages = {89--101},
  url = {http://dx.doi.org/10.1007/978-981-10-4241-6_10},
  doi = {http://doi.org/10.1007/978-981-10-4241-6_10}
}
Lim, Y.M., Ayesh, A. and Stacey, M. The Effects of Typing Demand on Learner's Motivation/Attitude-Driven Behaviour (MADB) Model with Mouse and Keystroke Behaviours 2017 The 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2017)  inproceedings  
BibTeX:
@inproceedings{Lim2017a,
  author = {Yee Mei Lim and Aladdin Ayesh and Martin Stacey},
  title = {The Effects of Typing Demand on Learner's Motivation/Attitude-Driven Behaviour (MADB) Model with Mouse and Keystroke Behaviours},
  booktitle = {The 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2017)},
  year = {2017}
}
Muhammad, M.A., Ayesh, A. and Zadeh, P.B. Improving Security in Bring Your Own Device (BYOD) Environment by Controlling Access 2017 International Conference on Future Networks and Distributed Systems (ICFNDS 2017)  inproceedings  
BibTeX:
@inproceedings{Muhammad2017,
  author = {Musa Abubakar Muhammad and Aladdin Ayesh and Pooneh Bagheri Zadeh},
  title = {Improving Security in Bring Your Own Device (BYOD) Environment by Controlling Access},
  booktitle = {International Conference on Future Networks and Distributed Systems (ICFNDS 2017)},
  year = {2017}
}
Wang, R., Chen, L., Solheim, I., Schulz, T. and Ayesh, A. Conceptual Motivation Modeling for Students with Dyslexia for Enhanced Assistive Learning 2017 Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning, pp. 11-18  inproceedings DOI URL 
Abstract: Students with dyslexia often suffer from the lack of academic self-worth and frustration that can even lead to learned helplessness. However, few studies have investigated the impact of incorporating users' motivational factors into user modeling to enhance the learning experience for students with dyslexia. In this paper we attempt to develop a conceptual motivation model for people with dyslexia in their use of assistive learning tools. To this end, we carry out a small-scale empirical study in real-world learning scenarios. Then we conduct individual interviews to gain first-hand data about the key factors and features affecting learning experience. Using coding and thematic analysis methods we discuss main themes regarding motivational factors and their interrelationships identified. Based on these findings, we create a conceptual motivation model tailored towards students with dyslexia, which will help enhance learning experience and improve learning efficiency.
BibTeX:
@inproceedings{Wang2017,
  author = {Wang, Ruijie and Chen, Liming and Solheim, Ivar and Schulz, Trenton and Ayesh, Aladdin},
  title = {Conceptual Motivation Modeling for Students with Dyslexia for Enhanced Assistive Learning},
  booktitle = {Proceedings of the 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning},
  publisher = {ACM},
  year = {2017},
  pages = {11--18},
  url = {http://doi.acm.org/10.1145/3038535.3038542},
  doi = {http://doi.org/10.1145/3038535.3038542}
}
Alotaibi, A., Ayesh, A. and Hall, R. Managing Admission in Saudi Universities: a System Approach 2016 International Journal of Information and Education Technology
Vol. 6(4)The 6th International Conference on E-Education, E-Business, E-Management and E-Learning- IC4E, pp. 314-321 
article DOI  
BibTeX:
@article{Alotaibi2016,
  author = {Awad Alotaibi and Aladdin Ayesh and Richard Hall},
  title = {Managing Admission in Saudi Universities: a System Approach},
  booktitle = {The 6th International Conference on E-Education, E-Business, E-Management and E-Learning- IC4E},
  journal = {International Journal of Information and Education Technology},
  year = {2016},
  volume = {6},
  number = {4},
  pages = {314-321},
  doi = {http://doi.org/10.7763/IJIET.2016.V6.706}
}
Ayesh, A., Arevalillo-Herráez, M. and Ferri, F.J. Towards Psychologically based Personalised Modelling of Emotions Using Associative Classifiers 2016 International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)
Vol. 10(2), pp. 52-64 
article DOI  
BibTeX:
@article{Ayesh2016,
  author = {Ayesh, Aladdin and Arevalillo-Herráez, Miguel and Ferri, Francesc J.},
  title = {Towards Psychologically based Personalised Modelling of Emotions Using Associative Classifiers},
  journal = {International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)},
  year = {2016},
  volume = {10},
  number = {2},
  pages = {52-64},
  doi = {http://doi.org/10.4018/IJCINI.2016040103}
}
Al-Azawi, R., Al-Obaidy, M., Ayesh, A. and Rosenburg, D. The impact of using educational gamification in mobile computing course: A case study 2016 Communication, Management and Information Technology: Proceedings of the International Conference on Communication, Management and Information Technology (ICCMIT 2016), pp. 235-240  inproceedings  
BibTeX:
@inproceedings{Azawi2016,
  author = {Rula Al-Azawi and Mohaned Al-Obaidy and Aladdin Ayesh and Duska Rosenburg},
  title = {The impact of using educational gamification in mobile computing course: A case study},
  booktitle = {Communication, Management and Information Technology: Proceedings of the International Conference on Communication, Management and Information Technology (ICCMIT 2016)},
  publisher = {CRC Press},
  year = {2016},
  pages = {235-240}
}
Lim, Y., Ayesh, A. and Stacey, M. The Motivation/Attitude-driven Behavior (MADB) Model in E-Learning and the Effects on Mouse Dynamics 2016 International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)
Vol. 10(3), pp. 38-52 
article  
BibTeX:
@article{Lim2016,
  author = {Lim, YeeMei and Ayesh, Aladdin and Stacey, Martin},
  title = {The Motivation/Attitude-driven Behavior (MADB) Model in E-Learning and the Effects on Mouse Dynamics},
  journal = {International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)},
  year = {2016},
  volume = {10},
  number = {3},
  pages = {38-52}
}
Lim, Y., Ayesh, A. and Stacey, M. Exploring Direct Learning Instruction and External Stimuli Effects on Learner's States and Mouse/Keystroke Behaviours 2016 User Science and Engineering (i-USEr), 2016 4th International Conference on, pp. 161-166  inproceedings  
Review: journal = http://www.insightsociety.org/ojaseit/index.php/ijaseit,
BibTeX:
@inproceedings{Lim2016a,
  author = {Lim, YeeMei and Ayesh, Aladdin and Stacey, Martin},
  title = {Exploring Direct Learning Instruction and External Stimuli Effects on Learner's States and Mouse/Keystroke Behaviours},
  booktitle = {User Science and Engineering (i-USEr), 2016 4th International Conference on},
  publisher = {IEEE},
  year = {2016},
  pages = {161-166}
}
Marco-Gimenez, L., Arevalillo-Herráez, M., Ferri, F., Boticario, S.M.-P.J., Santos, O., Salmeron-Majadas, S., Saneiro, M., Uria-Rivas, R., Arnau, D., González-Calero, J.A., Ayesh, A., Arnau-González, P. and Ramzan, N. Affective and Behavioral Assessment for Adaptive Intelligent Tutoring Systems 2016 Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Halifax, Canada,  inproceedings  
BibTeX:
@inproceedings{Marco-Gimenez2016,
  author = {L. Marco-Gimenez and M. Arevalillo-Herráez and F.J. Ferri and S. Moreno-Picot J.G. Boticario and O.C. Santos and S. Salmeron-Majadas and M. Saneiro and R. Uria-Rivas and David Arnau and JosŽ A. González-Calero and Aladdin Ayesh and P. Arnau-González and N. Ramzan},
  title = {Affective and Behavioral Assessment for Adaptive Intelligent Tutoring Systems},
  booktitle = {Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Halifax, Canada,},
  year = {2016}
}
Abdelhamid, N., Ayesh, A. and Thabtah, F. Emerging Trends in Associative Classification Data Mining 2015 International Journal of Electronics and Electrical Engineering
Vol. 3(1), pp. 50-53 
article URL 
Abstract: Utilising association rule discovery to learn
classifiers in data mining is known as Associative
Classification (AC). In the last decade, AC algorithms
proved to be effective in devising high accurate classification
systems from various types of supervised data sets. Yet,
there are new emerging trends and that can further enhance
the performance of current AC methods or necessitate the
development of new methods. This paper sheds the light on
four possible new research trends within AC that could
enhance the predictive performance of the classifier or their
quality in terms of rules. These possible research directions
are considered starting research points for other scholars in
rule based classification in data mining.
BibTeX:
@article{Abdelhamid2015,
  author = {Abdelhamid, Neda and Ayesh, Aladdin and Thabtah, F.Fadi},
  title = {Emerging Trends in Associative Classification Data Mining},
  journal = {International Journal of Electronics and Electrical Engineering},
  year = {2015},
  volume = {3},
  number = {1},
  pages = {50-53},
  url = {http://www.ijeee.net/uploadfile/2014/0507/20140507041500642.pdf}
}
Al-Azawi, R. and Ayesh, A. A Simulation Based Game Approach for Test Drive Exam 2015 Eurosis ESM 2015, pp. 346 - 353  inproceedings  
BibTeX:
@inproceedings{Al-Azawi2015,
  author = {Al-Azawi, R. and Ayesh, A.},
  title = {A Simulation Based Game Approach for Test Drive Exam},
  booktitle = {Eurosis ESM 2015},
  year = {2015},
  pages = {346 - 353}
}
Al-Azawi, R. and Ayesh, A. Experience with AOAB methodology in mobile computing module 2015 Open Source Software Computing (OSSCOM), 2015 International Conference on, pp. 1-6  inproceedings DOI  
Abstract: This paper describes a case study of how Agent Oriented Agile Based (AOAB) development methodology was implemented in mobile computing module to create game as a part of the module assessment requirements. Games can be used in higher education in many ways to increase students participation, enable variation in how lectures are taught and to increase students interest when they create their own game. We provide a new game development methodology and integrated with mobile computing module. The experience described in this paper is based on the feedback from the module staff member, students feedback, final student report and finally module evaluation report by students. The evaluation shows that the students who used AOAB methodology provide a better result rather than groups who used Agile game development methodology in game creation. Finally, we describe the benefit of using game in higher education and how we could enhance students progress in their study.
BibTeX:
@inproceedings{Al-Azawi2015a,
  author = {Al-Azawi, R. and Ayesh, A.},
  title = {Experience with AOAB methodology in mobile computing module},
  booktitle = {Open Source Software Computing (OSSCOM), 2015 International Conference on},
  year = {2015},
  pages = {1-6},
  doi = {http://doi.org/10.1109/OSSCOM.2015.7372683}
}
Alotaibi, A., Ayesh, A. and Hall, R. Managing Admission in Saudi Universities: a System Approach 2015 The 6th International Conference on E-Education, E-Business, E-Management and E-Learning- IC4E  inproceedings  
Abstract: This research aims at the development of a framework for designing a proposed admission system in the Saudi universities. This study is based on results of another paper that revealed that the current admission system in the Saudi universities needs to develop. This due to the current system for admission in Saudi universities is not comprehensive, and not relevant. The study recommends applying modern approaches related to DSS (such as; the proposed system) in order to improve the efficiency of the admission system in the Saudi universities.
BibTeX:
@inproceedings{Alotaibi2015,
  author = {Awad Alotaibi and Aladdin Ayesh and Richard Hall},
  title = {Managing Admission in Saudi Universities: a System Approach},
  booktitle = {The 6th International Conference on E-Education, E-Business, E-Management and E-Learning- IC4E},
  year = {2015},
  note = {Proceedings published in Journals.}
}
Ayesh, A. and Blewitt, W. Models for Computational Emotions from Psychological Theories Using Type-II Fuzzy Logic 2015 Cognitive Computation
Vol. 7(3), pp. 309-332 
article DOI URL 
Abstract: Emotions have been subject of research and deliberation in philosophy and psychology mainstream for a long time. In contrast, emotions have only emerged in artificial intelligence research as a serious topic in the last two decades. Year 2000, in particular, experienced a shift in attitude towards emotions and their relationship to human reasoning and humanÐcomputer interaction. This paper presents the second part of our research in this area, which aimed at interpreting psychological theories of emotions computationally and translating them into machine-implementable models. We continue with the previously selected psychological theories, namely Millenson (the psychology of emotion: theories of emotion perspective, Wiley, Hoboken, 1967) and Scherer (Soc Sci Inf 44(4):695Ð729, 2005), with exploration of the nature of emotional state. Fuzzy logic (FL) type-II is utilised here as a tool to capture the finer details of the psychological and computational interpretations of these theories. The paper presents a full theoretical formalism in FL type-II accompanied by implementation, using the De Montfort University Type-II Fuzzy Logic Toolbox, and detailed discussion of the complexity of the modelsÕ computational interpretation and implementation.
BibTeX:
@article{Ayesh2015,
  author = {Ayesh, Aladdin and Blewitt, William},
  title = {Models for Computational Emotions from Psychological Theories Using Type-II Fuzzy Logic},
  journal = {Cognitive Computation},
  publisher = {Springer US},
  year = {2015},
  volume = {7},
  number = {3},
  pages = {309-332},
  url = {http://dx.doi.org/10.1007/s12559-014-9286-8},
  doi = {http://doi.org/10.1007/s12559-014-9286-8}
}
Ayesh, A. and Blewitt, W. Models for Computational Emotions from Psychological Theories Using Type I Fuzzy Logic 2015 Cognitive Computation
Vol. 7(3), pp. 285-308 
article DOI URL 
Abstract: Emotions have been subject of research and deliberation in philosophy and psychology mainstream for a long time. In contrast, emotions have only emerged in artificial intelligence research as a serious topic in the last two decades. Year 2000, in particular, experienced a shift in attitude towards emotions and their relationship to human reasoning and humanÐcomputer interaction. This shift continued slowly but surely over the years and computational emotions can be seen as a mainstream research topic within artificial intelligence and cognitive systems. In this paper, we attempt to contribute to the development of this area by interpreting psychological theories of emotions computationally and translating them into machine implementable models. These models are generic and application independent which most of the current computational emotions models lack. We have selected two psychological theories, namely Millenson (The psychology of emotion: theories of emotion perspective, vol 4. Wiley, New Jersey, pp 35Ð36, 1967) and Scherer (Soc Sci Inf 44(4):695Ð729, 2005), that lend themselves, with varying degrees of difficulty, to the computational interpretation. Fuzzy logic was utilised as a tool to keep the fidelity of psychological interpretation of emotion. The paper discusses in details the computational interpretation of these psychological models and presents a full theoretical formalism in fuzzy logic type 1, implementation and detailed analysis of this psychologically grounded generic computational models.
BibTeX:
@article{Ayesh2015a,
  author = {Ayesh, Aladdin and Blewitt, William},
  title = {Models for Computational Emotions from Psychological Theories Using Type I Fuzzy Logic},
  journal = {Cognitive Computation},
  publisher = {Springer US},
  year = {2015},
  volume = {7},
  number = {3},
  pages = {285-308},
  url = {http://dx.doi.org/10.1007/s12559-014-9287-7},
  doi = {http://doi.org/10.1007/s12559-014-9287-7}
}
Lim, Y., Ayesh, A. and Stacey, M. The Effects of Typing Demand on Emotional Stress, Mouse and Keystroke Behaviours 2015
Vol. 591Intelligent Systems in Science and Information 2014, pp. 209-225 
incollection DOI URL 
Abstract: Past research found that cognitive effort is related to emotion, which negative emotion may influence task performance. To enhance learning experience, it is important to have an effective technique to measure userÕs emotional and motivational affects for designing an adaptive e-learning system, rather than using a subjective method that is less reliable and accurate. Keystroke and mouse dynamics analyses shed light on a better automated emotion recognition method as compared to physiological methods, as they are cheaper, non-invasive and can be easily set up. This research shows that unification of mouse and keyboard dynamics analyses could be useful in detecting emotional stress, particularly stress induced by time pressure, text length and language familiarity. The changes of mouse and keystroke behaviours of the students are found cohere with their task performance and stress perception. However anomalies in mouse and keystroke behaviours present when the students are pushed beyond their capabilities.
BibTeX:
@incollection{Lim2015,
  author = {Lim, YeeMei and Ayesh, Aladdin and Stacey, Martin},
  title = {The Effects of Typing Demand on Emotional Stress, Mouse and Keystroke Behaviours},
  booktitle = {Intelligent Systems in Science and Information 2014},
  publisher = {Springer International Publishing},
  year = {2015},
  volume = {591},
  pages = {209-225},
  url = {http://dx.doi.org/10.1007/978-3-319-14654-6_13},
  doi = {http://doi.org/10.1007/978-3-319-14654-6_13}
}
Lim, Y., Ayesh, A. and Stacey, M. Using Mouse and Keyboard Dynamics to Detect Cognitive Stress During Mental Arithmetic 2015
Vol. 591Intelligent Systems in Science and Information 2014, pp. 335-350 
incollection DOI URL 
Abstract: To build a personalized e-learning system that can deliver adaptive learning content based on studentÕs cognitive effort and efficiency, it is important to develop a construct that can help measuring perceived mental state, such as stress and cognitive load. The construct must be able to be quantified, computerized and automated. Our research investigates how mouse and keyboard dynamics analyses could be used to detect cognitive stress, which is induced by high mental arithmetic demand with time pressure, without using intrusive and expensive equipment. The research findings suggest that when task demand increased, task error, task duration, passive attempt, stress perception and mouse idle duration may increase, while mouse speed, left mouse click and keystroke speed decreased. The significant effects of task demand and time pressure on mouse and keystroke behaviours suggest that stress evaluation from these input devices is potentially useful for designing an adaptive e-learning system.
BibTeX:
@incollection{Lim2015a,
  author = {Lim, YeeMei and Ayesh, Aladdin and Stacey, Martin},
  title = {Using Mouse and Keyboard Dynamics to Detect Cognitive Stress During Mental Arithmetic},
  booktitle = {Intelligent Systems in Science and Information 2014},
  publisher = {Springer International Publishing},
  year = {2015},
  volume = {591},
  pages = {335-350},
  url = {http://dx.doi.org/10.1007/978-3-319-14654-6_21},
  doi = {http://doi.org/10.1007/978-3-319-14654-6_21}
}
Marco-Giménez, L., Arevalillo-Herráez, M., Ayesh, A. and Szwoch, M. An extension to the FEEDB Multimodal Database of Facial Expressions and Emotions 2015 Eurosis ESM 2015, pp. 455 - 460  inproceedings  
BibTeX:
@inproceedings{Marco-Gimenez2015,
  author = {Marco-Giménez, Luis and Arevalillo-Herráez, Miguel and Ayesh, Aladdin and Szwoch, Mariusz},
  title = {An extension to the FEEDB Multimodal Database of Facial Expressions and Emotions},
  booktitle = {Eurosis ESM 2015},
  year = {2015},
  pages = {455 - 460}
}
Obaidy, M.A. and Ayesh, A. Energy efficient algorithm for swarmed sensors networks 2015 Sustainable Computing: Informatics and Systems
Vol. 5, pp. 54 - 63 
article DOI URL 
Abstract: Abstract In this work we are presenting the design of an intelligent hybrid optimization algorithm which is based on Evolutionary Computation and Swarm Intelligence to increase the life time of mobile wireless sensor networks (WSNs). It is composed of two phases; Phase-1 is designed to divide the sensor nodes into independent clusters by using Genetic Algorithms (GAs) to minimise the overall communication distance between the sensor-nodes and the sink-point. This will decrease the energy consumption for the entire network. Phase-2 which is based on Particle Swarm Optimization (PSO) is designed to keep the optimum distribution of sensors while the mobile sensor network is directed as a swarm to achieve a given goal. One of the main strengths in the presented algorithm is that the number of clusters within the sensor network is not predefined, this gives more flexibility for the nodesÕ deployment in the sensor network. Another strength is that sensorsÕ density is not necessary to be uniformly distributed among the clusters, since in some applications constraints, the sensors need to be deployed in different densities depending on the nature of the application domain. Although traditionally Wireless Sensor Network have been regarded as static sensor arrays used mainly for environmental monitoring, recently, its applications have undergone a paradigm shift from static to more dynamic environments, where nodes are attached to moving objects, people or animals. Applications that use WSNs\ in motion are broad, ranging from transport and logistics to animal monitoring, health care and military. These application domains have a number of characteristics that challenge the algorithmic design of WSNs.
BibTeX:
@article{Obaidy2015,
  author = {Mohaned Al. Obaidy and Aladdin Ayesh},
  title = {Energy efficient algorithm for swarmed sensors networks },
  journal = {Sustainable Computing: Informatics and Systems },
  year = {2015},
  volume = {5},
  pages = {54 - 63},
  url = {http://www.sciencedirect.com/science/article/pii/S2210537914000778},
  doi = {http://doi.org/10.1016/j.suscom.2014.09.004}
}
Abdelhamid, N., Ayesh, A. and Thabtah, F. Phishing detection based Associative Classification data mining 2014 Expert Systems with Applications
Vol. 41(13), pp. 5948 - 5959 
article DOI URL 
Abstract: Website phishing is considered one of the crucial security challenges for the online community due to the massive numbers of online transactions performed on a daily basis. Website phishing can be described as mimicking a trusted website to obtain sensitive information from online users such as usernames and passwords. Black lists, white lists and the utilisation of search methods are examples of solutions to minimise the risk of this problem. One intelligent approach based on data mining called Associative Classification (AC) seems a potential solution that may effectively detect phishing websites with high accuracy. According to experimental studies, AC often extracts classifiers containing simple ÒIf-ThenÓ rules with a high degree of predictive accuracy. In this paper, we investigate the problem of website phishing using a developed AC method called Multi-label Classifier based Associative Classification (MCAC) to seek its applicability to the phishing problem. We also want to identify features that distinguish phishing websites from legitimate ones. In addition, we survey intelligent approaches used to handle the phishing problem. Experimental results using real data collected from different sources show that AC particularly MCAC detects phishing websites with higher accuracy than other intelligent algorithms. Further, MCAC generates new hidden knowledge (rules) that other algorithms are unable to find and this has improved its classifiers predictive performance.
BibTeX:
@article{Abdelhamid2014,
  author = {Neda Abdelhamid and Aladdin Ayesh and Fadi Thabtah},
  title = {Phishing detection based Associative Classification data mining},
  journal = {Expert Systems with Applications},
  year = {2014},
  volume = {41},
  number = {13},
  pages = {5948 - 5959},
  url = {http://www.sciencedirect.com/science/article/pii/S0957417414001481},
  doi = {http://doi.org/10.1016/j.eswa.2014.03.019}
}
Abdelhamid, N., Ayesh, A. and Hadi, W. Multi-Label Rules Algorithm Based Associative Classification 2014 Parallel Processing Letters
Vol. 24(01) 
article DOI URL 
Abstract: Current associative classification (AC) algorithms generate only the most obvious class linked with a rule in the training data set and ignore all other classes. We handle this problem by proposing a learning algorithm based on AC called Multi-label Classifiers based Associative Classification (MCAC) that learns rules associated with multiple classes from single label data. MCAC algorithm extracts classifiers from the whole training data set discovering all possible classes connected with a rule as long as they have sufficient training data representation. Another distinguishing feature of the MCAC algorithm is the classifier building method that cuts down the number of rules treating one known problem in AC mining which is the exponential growth of rules. Experimentations using real application data related to a complex scheduling problem known as the trainer timetabling problem reveal that MCAC's predictive accuracy is highly competitive if contrasted with known AC algorithms.
BibTeX:
@article{Abdelhamid2014a,
  author = {Neda Abdelhamid and Aladdin Ayesh and Wael Hadi},
  title = {Multi-Label Rules Algorithm Based Associative Classification},
  journal = {Parallel Processing Letters},
  year = {2014},
  volume = {24},
  number = {01},
  url = {http://www.worldscientific.com/doi/abs/10.1142/S0129626414500017},
  doi = {http://doi.org/10.1142/S0129626414500017}
}
Al-Azawi, R., Ayesh, A., Al-Masruri, K. and Kenny, I. Multi Agent Software Engineering (MaSE) and agile methodology for game development 2014 14th Middle Eastern Simulation and Modelling Multiconference, MESM 2014 - 4th GAMEON-ARABIA Conference, GAMEON-ARABIA 2014The 14th Middle Eastern Simulation and Modelling Multiconference (MESM) - The 4th GAMEON-ARABIA Conference, pp. 116-122  inproceedings URL 
Abstract: Agile software development methodologies has become very common in game development methodologies. However, such methodologies must be adapted to different game genres. The purpose of this paper is to investigate the existing game development methodologies and provide a new game development methodology suitable for different game genres. Furthermore, the methodology is based on both predictive and adaptive development models. A critical analysis of Agile game development methodology is presented and we identify the weakness of the current Agile game development. The Agile Agent Game Development Methodology (AAGDM) is introduced as a new hybrid methodology linking the Agent and Agile approach to create a generic game development methodology. © 2014 EUROSIS-ETI.
BibTeX:
@inproceedings{Al-Azawi2014,
  author = {Al-Azawi, R.a and Ayesh, A.b and Al-Masruri, K.A.c and Kenny, I.b},
  title = {Multi Agent Software Engineering (MaSE) and agile methodology for game development},
  booktitle = {The 14th Middle Eastern Simulation and Modelling Multiconference (MESM) - The 4th GAMEON-ARABIA Conference},
  journal = {14th Middle Eastern Simulation and Modelling Multiconference, MESM 2014 - 4th GAMEON-ARABIA Conference, GAMEON-ARABIA 2014},
  year = {2014},
  pages = {116-122},
  url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84899018045&partnerID=40&md5=fb8648ee8cceabcfb4e189f731d604e5}
}
Alruily, M., Ayesh, A. and Zedan, H. Crime profiling for the Arabic language using computational linguistic techniques 2014 Information Processing & Management
Vol. 50(2), pp. 315 - 341 
article DOI URL 
Abstract: Arabic is a widely spoken language but few mining tools have been developed to process Arabic text. This paper examines the crime domain in the Arabic language (unstructured text) using text mining techniques. The development and application of a Crime Profiling System (CPS) is presented. The system is able to extract meaningful information, in this case the type of crime, location and nationality, from Arabic language crime news reports. The system has two unique attributes; firstly, information extraction that depends on local grammar, and secondly, dictionaries that can be automatically generated. It is shown that the CPS improves the quality of the data through reduction where only meaningful information is retained. Moreover, the Self Organising Map (SOM) approach is adopted in order to perform the clustering of the crime reports, based on crime type. This clustering technique is improved because only refined data containing meaningful keywords extracted through the information extraction process are inputted into it, i.e. the data are cleansed by removing noise. The proposed system is validated through experiments using a corpus collated from different sources; it was not used during system development. Precision, recall and F-measure are used to evaluate the performance of the proposed information extraction approach. Also, comparisons are conducted with other systems. In order to evaluate the clustering performance, three parameters are used: data size, loading time and quantization error.

Keywords -- Arabic language; Crime domain; Pattern recognition; Clustering; Information extraction; Syntactic analysis
BibTeX:
@article{Alruily2014,
  author = {Meshrif Alruily and Aladdin Ayesh and Hussein Zedan},
  title = {Crime profiling for the Arabic language using computational linguistic techniques},
  journal = {Information Processing & Management },
  year = {2014},
  volume = {50},
  number = {2},
  pages = {315 - 341},
  url = {http://www.sciencedirect.com/science/article/pii/S0306457313000988},
  doi = {http://doi.org/10.1016/j.ipm.2013.09.001}
}
Ayesh, A., Joseph, C., Perril, S. and Thomas, S. Aesthetics of a Robot: Case study on AIBO Dog Robots for Buddy-ing Devices 2014 Journal of Intelligent Computing
Vol. 5(1), pp. 1-15 
article URL 
Abstract: The more embedded and ubiquitous computing devices are introduced in everyday domestic applications, the more important the aesthetics of interfaces become. In this paper, our interest is the aesthetics of domestic robots as an example of buddy-ing physical devices. We report on observations of using Sony AIBO dogs in outreach programs to new and untraditional user groups. The sessions were part of Narrative Lab workshops and Institute of Creative Technology (IOCT) Salon workshops. In the case of Narrative Lab workshop, AIBO robots were introduced to writers who were exploring new means of inspiration and writing in new media. A more elaborate study was conducted with undergraduate Humanities students. The observations in this paper will focus on the reactions towards the dog look and behaviour. It explores the relationships between the behaviours demonstrated, the physical appearance of the robot, and the users‰Ûª perceptions. We call upon aesthetics theories, aesthetics of interfaces, aesthetic metrics, and art theories research in our analysis of these observations. The outcome will be in the form of a framework to assess physical domestic devices design for buddy-ing interaction leading to design guidelines.
BibTeX:
@article{Ayesh2014,
  author = {Aladdin Ayesh and Chris Joseph and Simon Perril and Sue Thomas},
  title = {Aesthetics of a Robot: Case study on AIBO Dog Robots for Buddy-ing Devices},
  journal = {Journal of Intelligent Computing},
  year = {2014},
  volume = {5},
  number = {1},
  pages = {1-15},
  url = {http://www.dline.info/jic/v5n1.php}
}
Ayesh, A. Serious Gaming 2014 ITNOW
Vol. 56(1), pp. 60-61 
article DOI URL 
BibTeX:
@article{Ayesh2014a,
  author = {Ayesh, Aladdin},
  title = {Serious Gaming},
  journal = {ITNOW},
  year = {2014},
  volume = {56},
  number = {1},
  pages = {60-61},
  url = {http://itnow.oxfordjournals.org/content/56/1/60.abstract},
  doi = {http://doi.org/10.1093/itnow/bwu028}
}
Ayesh, A., Arevalillo-Herráez, M. and Ferri, F.J. Cognitive Reasoning and Inferences through Psychologically based Personalised Modelling of Emotions Using Associative Classifiers 2014 ICCI*CC 2014 Proceedings, pp. 67-72  inproceedings  
BibTeX:
@inproceedings{Ayesh2014d,
  author = {Ayesh, Aaladdin and Arevalillo-Herráez, Miguel and Ferri, Francesc J.},
  title = {Cognitive Reasoning and Inferences through Psychologically based Personalised Modelling of Emotions Using Associative Classifiers},
  booktitle = {ICCI*CC 2014 Proceedings},
  publisher = {IEEE},
  year = {2014},
  pages = {67-72},
  note = {Presentation avaliable from: http://www.slideshare.net/AladdinAyesh/v1-cognitive-informaticspresentation2014}
}
Ayesh, A. Mobile cognitive systems: the business of connecting data to user-centred services with a smile 2014 Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on, pp. 1-7  inproceedings DOI  
Abstract: Recent technological advances made several of futuristic visions and science fiction a possible reality. For example, the advances in smartphones and tablet hardware that enables very powerful computers being packed into a palm size devices with multiple sensors and communication ports make visions of living machines and augmented human presence a realistic possibility. Communication ports and protocols expand the social dimension of such a possibility. Similarly, the powerful processors on the mobile devices provide computational environment sufficient to run some of the most computationally demanding artificial intelligence algorithms and to host some of the most complex of architectures. This enables the intelligent mobile agents to roam the ever expanding world of connected clouds exploring both data storages and mobile devices with ever shrinking boundaries between storage, processing and user devices. However, integrative technologies are still needed to realise the potential of such amazing advances. This talk aims to explore such technologies and current research in the light of big data initiatives and on the lines of mobility, cognition and connected systems.
BibTeX:
@inproceedings{Ayesh2014e,
  author = {Ayesh, A.},
  title = {Mobile cognitive systems: the business of connecting data to user-centred services with a smile},
  booktitle = {Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on},
  publisher = {IEEE},
  year = {2014},
  pages = {1-7},
  doi = {http://doi.org/10.1109/ICRITO.2014.7014659}
}
Daoud, M.S., Ayesh, A., Al-Fayoumi, M. and Hopgood, A.A. Location Prediction Based on a Sector Snapshot for Location-Based Services 2014 Journal of Network and Systems Management
Vol. 22(1), pp. 23-49 
article DOI URL 
Abstract: In location-based services (LBSs), the service is provided based on the usersÕ locations through location determination and mobility realization. Most of the current location prediction research is focused on generalized location models, where the geographic extent is divided into regular-shaped cells. These models are not suitable for certain LBSs where the objectives are to compute and present on-road services. Such techniques are the new Markov-based mobility prediction (NMMP) and prediction location model (PLM) that deal with inner cell structure and different levels of prediction, respectively. The NMMP and PLM techniques suffer from complex computation, accuracy rate regression, and insufficient accuracy. In this paper, a novel cell splitting algorithm is proposed. Also, a new prediction technique is introduced. The cell splitting is universal so it can be applied to all types of cells. Meanwhile, this algorithm is implemented to the Micro cell in parallel with the new prediction technique. The prediction technique, compared with two classic prediction techniques and the experimental results, show the effectiveness and robustness of the new splitting algorithm and prediction technique.
BibTeX:
@article{Daoud2014,
  author = {Daoud, Mohammad Sharif and Ayesh, Aladdin and Al-Fayoumi, Mustafa and Hopgood , Adrian A.},
  title = {Location Prediction Based on a Sector Snapshot for Location-Based Services},
  journal = {Journal of Network and Systems Management},
  year = {2014},
  volume = {22},
  number = {1},
  pages = {23-49},
  url = {http://link.springer.com/article/10.1007%2Fs10922-012-9258-9},
  doi = {http://doi.org/10.1007/s10922-012-9258-9}
}
Lim, Y.M., Ayesh, A. and Stacey, M. The Effects of Menu Design on Users Emotions, Search Performance and Mouse Behaviour 2014 ICCI*CC 2014 Proceedings, pp. 541-549  inproceedings  
BibTeX:
@inproceedings{Lim2014,
  author = {Lim, Yee Mei and Ayesh, Aladdin and Martin Stacey},
  title = {The Effects of Menu Design on Users Emotions, Search Performance and Mouse Behaviour},
  booktitle = {ICCI*CC 2014 Proceedings},
  publisher = {IEEE},
  year = {2014},
  pages = {541-549}
}
Lim, Y.M., Ayesh, A. and Stacey, M. Detecting Cognitive Stress from Keyboard and Mouse Dynamics during Mental Arithmetic 2014 Science and Information Conference 2014, pp. 146-152  inproceedings  
BibTeX:
@inproceedings{Lim2014a,
  author = {Lim, Yee Mei and Ayesh, Aladdin and Stacey, Martin},
  title = {Detecting Cognitive Stress from Keyboard and Mouse Dynamics during Mental Arithmetic},
  booktitle = {Science and Information Conference 2014},
  year = {2014},
  pages = {146--152}
}
Lim, Y.M., Ayesh, A. and Stacey, M. Detecting Emotional Stress during Typing Task with Time Pressure 2014 Science and Information Conference 2014, pp. 329-338  inproceedings  
BibTeX:
@inproceedings{Lim2014b,
  author = {Lim, Yee Mei and Ayesh, Aladdin and Stacey, Martin},
  title = {Detecting Emotional Stress during Typing Task with Time Pressure},
  booktitle = {Science and Information Conference 2014},
  year = {2014},
  pages = {329--338}
}
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