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50 results on '"McGinnity, Martin"'

8. A cognitive robotic ecology approach to self-configuring and evolving AAL systems

Author

Dragone, Mauro, Amato, Giuseppe, Bacciu, Davide, Chessa, Stefano, Coleman, Sonya, Di Rocco, Maurizio, Gallicchio, Claudio, Gennaro, Claudio, Lozano, Hector, Maguire, Liam, McGinnity, Martin, Micheli, Alessio, O'Hare, Gregory M. P., Renteria, Arantxa, Saffiotti, Alessandro, Vairo, Claudio, Vance, Philip, Dragone, Mauro, Amato, Giuseppe, Bacciu, Davide, Chessa, Stefano, Coleman, Sonya, Di Rocco, Maurizio, Gallicchio, Claudio, Gennaro, Claudio, Lozano, Hector, Maguire, Liam, McGinnity, Martin, Micheli, Alessio, O'Hare, Gregory M. P., Renteria, Arantxa, Saffiotti, Alessandro, Vairo, Claudio, and Vance, Philip

Abstract

Robotic ecologies are systems made out of several robotic devices, including mobile robots, wireless sensors and effectors embedded in everyday environments, where they cooperate to achieve complex tasks. This paper demonstrates how endowing robotic ecologies with information processing algorithms such as perception, learning, planning, and novelty detection can make these systems able to deliver modular, flexible, manageable and dependable Ambient Assisted Living (AAL) solutions. Specifically, we show how the integrated and self-organising cognitive solutions implemented within the EU project RUBICON (Robotic UBIquitous Cognitive Network) can reduce the need of costly pre-programming and maintenance of robotic ecologies. We illustrate how these solutions can be harnessed to (i) deliver a range of assistive services by coordinating the sensing & acting capabilities of heterogeneous devices, (ii) adapt and tune the overall behaviour of the ecology to the preferences and behaviour of its inhabitants, and also (iii) deal with novel events, due to the occurrence of new user's activities and changing user's habits., Funding Agency:European project RUBICON (Robotic UBIquitous COgnitive Network) 269914Note: The "Alessandro Faedo" Institute of Information Science and Technology (ISTI) is an institute of the Italian National Research Council (CNR)

Published
2015
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9. A cognitive robotic ecology approach to self-configuring and evolving AAL systems

Author

Dragone, Mauro, primary, Amato, Giuseppe, additional, Bacciu, Davide, additional, Chessa, Stefano, additional, Coleman, Sonya, additional, Rocco, Maurizio Di, additional, Gallicchio, Claudio, additional, Gennaro, Claudio, additional, Lozano, Hector, additional, Maguire, Liam, additional, McGinnity, Martin, additional, Micheli, Alessio, additional, O׳Hare, Gregory M.P., additional, Renteria, Arantxa, additional, Saffiotti, Alessandro, additional, Vairo, Claudio, additional, and Vance, Philip, additional

Published
2015
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12. Using computational intelligence for knowledge discovery from the human microbiome

Author

Wingfield, Benjamin, McGinnity, Martin, Bjourson, Tony, and Coleman, Sonya

Subjects
616.85, Personalised Medicine, Machine Learning, Micobiota
Abstract

Subtle changes in microbial populations that inhabit different areas of the human body - known as microbiomes or microbiota - can contribute to disease development, and restoring these imbalances may provide a cure. Localised and systemic diseases such as Inflammatory Bowel Disease (IBD) and depression have been linked with alterations to microbiota across the human body. Our understanding of how both diseases develop contains significant gaps, and the microbiome - described by some as our "second genome" - offers a compelling new area for knowledge discovery. This thesis aimed to advance the field of microbiome research and is an account of the work conducted whilst investigating the human gut and oral microbiome for links with IBD and depression. In this thesis, a hybrid model and aggregating ensemble feature selection (EFS) approach are applied to microbiome census data gathered from subjects with IBD. Microbial ecology techniques are applied to identify alterations to the oral microbiome in depressed subjects, and a multimodal Computational Intelligence (CI) classification paradigm known as a Super Self-Organising Map (sSOM) is applied to predict depression from a saliva sample. Finally, a rough set characterisation approach was developed and applied to gut and oral microbiome census data in depressed subjects to avoid destructive data normalisation and to enable knowledge discovery. The outcomes from the development of the hybrid model and aggregating EFS approach include the accurate non-invasive prediction of IBD, and the identification of novel and robust alterations to the gut microbiome in an adult cohort of IBD patients. The result provides a potential alternative to invasive colonoscopy, improve the time to diagnosis and treatment of IBD, and delivers new insights into the aetiology of IBD. The investigation of the oral microbiome identified novel alterations in depressed subjects for the first time. The changes to the structure and composition of the oral microbiome were significant enough to enable the accurate prediction of depression from a saliva sample. The results contribute to the microbiome-gutbrain axis theory by associating alterations to the oral microbiome with depression for the first time, and offer an alternative to subjective criteria for diagnosing depression, which currently relies on patient self-report and clinical judgement. The rough set microbiome characterisation approach replicated existing results and identified previously undescribed alterations to the gut microbiome in depressed subjects. The results provide an alternative approach to destructive normalisation techniques that are often applied to microbiome census data (identifying an optimal approach is an open research question), and contribute to our understanding of the microbiome-gut-brain axis, which could lead to psychobiotic treatments of depression in the future.

Published
2019

13. Tactile sensing for assistive robotics

Author

Kerr, Emmett, McGinnity, Martin, and Coleman, Sonya

Subjects
629.8, Tactile sensing, Assisstive living, Vital Sign Measurement, Neural Networks, Material Identification, Artificial Intelligence, Computational Learning Algorithms
Abstract

Humans perceive the world through information gathered by their five senses. Attempting to replicate some of these senses in intelligent systems has been a focus of research for many years. Due to high quality vision sensors such as cameras and laser scanners being readily available at a relatively low cost for some time now, vision sensing has been heavily researched for many decades enabling systems to distinguish a lot of information such as the size, shape and colour of objects or materials. However, there are attributes of objects, materials and the environment that cannot be determined by vision sensing alone such as compressibility, thermal properties or sub-surface vibration. This thesis presents methods which demonstrate that tactile sensing can be used to assess a human’s current state of health by measuring their vital signs using a biomimetic fingertip, namely BioTAC. It involves three main contributions. The first contribution is a method for classifying materials from tactile sensing alone. Using machine learning approaches, the high sensitivity of the BioTAC tactile sensors is demonstrated via the ability to classify different (and similar) material with high accuracy based on surface texture and thermal properties. The second contribution focuses on the use of the BioTAC fingertip to accurately measure the vital signs of a human by mimicking medical professionals. Algorithms have been developed and evaluated for determining a human’s Beats Per Minute (BPM), Pulse to Pulse Interval (PPI), Respiratory Rate (RR), Breath to Breath Interval (BBI) via tactile sensing. Furthermore, algorithms have been developed to measure Capillary Refill Time (CRT) by using a combination of tactile sensing for the control of a robot fingertip and vision sensing to analyse changes in the subjects skin colour. The final contribution is a fuzzy classification algorithm capable of classifying the human’s health status based on their BPM, RR and CRT. Significant contributions in the field of tactile sensing presented in this thesis demonstrate that a robotic system can determine a human’s current status of health. This could play a vital role in helping to rescue victims of a disaster or emergency by performing medical triage and determining an order of treatment. In turn, emergency personnel will be able to make a more informed decision on how they should allocate their valuable resources thus preventing unnecessary risk and reducing the further loss of human life.

Published
2018

14. Continuous tactile sensing for enhanced human-robot collaboration

Author

Gomez Eguiluz, Augusto, Coleman, Sonya, McGinnity, Martin, and Rano, Ignacio

Subjects
629.8, Robotic tactile sensing, Material identification, Robot-human object handover, Robotic grasping, Recursive tactile perception
Abstract

Collaborative manipulation of objects is usually a trivial activity for humans but is still very challenging for robots. Such tasks involve many complex aspects, such as human and object safety, social and handling context, grasping stability, slip detection, and ergonomics. Although huge research efforts have been devoted over decades to endow robots with the skills required for grasping, manipulation, sharing of objects, and collaboration with humans, there is still a need for reliable systems capable of reacting to unexpected events. As for humans, the sense of touch is essential for robots to perform many tasks as it provides information that can not be obtained through contactless sensing modalities. Thus, recent trends in robotics research explore the use of tactile sensing in human-robot object manipulation. An important aspect that is often overlooked in the existing literature is that tactile sensing is inherently sequential and therefore should be approached as a continuous process. The aim of this thesis is to explore continuous tactile sensing to enhance robot collaboration capabilities for object manipulation. The contribution of this work is threefold: firstly, an innovative multimodal technique that identifies the surface materials of objects using continuous tactile sensing is developed. Secondly, continuous tactile sensing is used to provide contact information to a control system that grasps objects of unknown geometry. Finally, an approach to hand over objects between xiii a robot and a human, relying on continuous tactile sensing, is developed to ensure the safety of the robot and the object during the transfer. In this thesis, the proposed approaches are evaluated on real physical robotic platforms. A comparison with the state-of-the art techniques in material recognition shows that the proposed multimodal approach enhances identification speed and accuracy. The experimental results also show excellent performance of the proposed approach for grasping objects even when information about their geometry is not available. Finally, the proposed object handover algorithm is proven to adapt to unexpected force perturbations on the object and release it in a timely manner without dropping. This work entails significant progress towards the development of autonomous robots that collaborate with humans in everyday tasks.

Published
2018

15. Mining Unit Feedback to Explore Students’ Learning Experiences

Author

Ibrahim, Zainab Mutlaq, Bader-El-Den, Mohamed, Cocea, Mihaela, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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16. Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks

Author

Awad, Abubakr, Pang, Wei, Coghill, George M., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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17. Key Frame Extraction and Classification of Human Activities Using Motion Energy

Author

Adama, David Ada, Lotfi, Ahmad, Langensiepen, Caroline, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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18. A Novel Crossings-Based Segmentation Approach for Gesture Recognition

Author

Anderez, Dario Ortega, Lotfi, Ahmad, Langensiepen, Caroline, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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19. Towards Active Muscle Pattern Analysis for Dynamic Hand Motions via sEMG

Author

Li, Jiahan, Fang, Yinfeng, Huang, Yongan, Li, Gongfa, Ju, Zhaojie, Liu, Honghai, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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20. Dimension Reduction Based on Geometric Reasoning for Reducts

Author

Ishii, Naohiro, Torii, Ippei, Iwata, Kazunori, Odagiri, Kazuya, Nakashima, Toyoshiro, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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21. Anomaly Detection in Activities of Daily Living Using One-Class Support Vector Machine

Author

Yahaya, Salisu Wada, Langensiepen, Caroline, Lotfi, Ahmad, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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22. A Comprehensive Obstacle Avoidance System of Mobile Robots Using an Adaptive Threshold Clustering and the Morphin Algorithm

Author

Chen, Meng Yuan, Wu, Yong Jian, He, Hongmei, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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23. Online Object Trajectory Classification Using FPGA-SoC Devices

Author

Shinde, Pranjali, Machado, Pedro, Santos, Filipe N., McGinnity, T. M., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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24. Agent Based Micro-simulation of a Passenger Rail System Using Customer Survey Data and an Activity Based Approach

Author

Makinde, Omololu, Neagu, Daniel, Gheorghe, Marian, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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25. Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data

Author

Mohamad, Saad, Arifoglu, Damla, Mansouri, Chemseddine, Bouchachia, Abdelhamid, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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26. Clustering-Based Fuzzy Finite State Machine for Human Activity Recognition

Author

Mohmed, Gadelhag, Lotfi, Ahmad, Langensiepen, Caroline, Pourabdollah, Amir, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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27. Solving Partial Differential Equations with Bernstein Neural Networks

Author

Razvarz, Sina, Jafari, Raheleh, Gegov, Alexander, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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28. Classification of Heterogeneous Data Based on Data Type Impact on Similarity

Author

Ali, Najat, Neagu, Daniel, Trundle, Paul, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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29. Effective Diagnosis of Diabetes with a Decision Tree-Initialised Neuro-fuzzy Approach

Author

Chen, Tianhua, Shang, Changjing, Su, Pan, Antoniou, Grigoris, Shen, Qiang, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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30. A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets

Author

Saul, Marcia Amstelvina, Rostami, Shahin, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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31. Dendritic Cell Algorithm with Fuzzy Inference System for Input Signal Generation

Author

Elisa, Noe, Li, Jie, Zuo, Zheming, Yang, Longzhi, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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32. A Method of Abstractness Ratings for Chinese Concepts

Author

Wang, Xiaomei, Su, Chang, Chen, Yijiang, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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33. A Study on CNN Transfer Learning for Image Classification

Author

Hussain, Mahbub, Bird, Jordan J., Faria, Diego R., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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34. Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System

Author

Bird, Jordan J., Ekárt, Anikó, Faria, Diego R., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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35. A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection

Author

Yu, Zheqi, Yang, Shufan, Zhou, Keliang, Aggoun, Amar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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36. Disentangling the Latent Space of (Variational) Autoencoders for NLP

Author

Brunner, Gino, Wang, Yuyi, Wattenhofer, Roger, Weigelt, Michael, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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37. Generating ANFISs Through Rule Interpolation: An Initial Investigation

Author

Yang, Jing, Shang, Changjing, Li, Ying, Li, Fangyi, Shen, Qiang, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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38. Fintech Bitcoin Smart Investment Based on the Random Neural Network with a Genetic Algorithm

Author

Serrano, Will, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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39. Medical Expert Systems – A Study of Trust and Acceptance by Healthcare Stakeholders

Author

Vourgidis, Ioannis, Mafuma, Shadreck Joseph, Wilson, Paul, Carter, Jenny, Cosma, Georgina, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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40. Model Selection in Online Learning for Times Series Forecasting

Author

Jamil, Waqas, Bouchachia, Abdelhamid, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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41. Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers

Author

Jafari, Raheleh, Razvarz, Sina, Gegov, Alexander, Paul, Satyam, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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42. Daily Energy Price Forecasting Using a Polynomial NARMAX Model

Author

McHugh, Catherine, Coleman, Sonya, Kerr, Dermot, McGlynn, Daniel, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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43. On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms

Author

Wilson, Kevin, Rostami, Shahin, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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44. Exploiting Tournament Selection for Efficient Parallel Genetic Programming

Author

Chitty, Darren M., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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45. The Influence of Age Assignments on the Performance of Immune Algorithms

Author

Vitale, Alessandro, Di Stefano, Antonino, Cutello, Vincenzo, Pavone, Mario, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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46. Evolutionary Constraint in Artificial Gene Regulatory Networks

Author

Turner, Alexander P., Lacey, George, Schoene, Annika, Dethlefs, Nina, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Lotfi, Ahmad, editor, Bouchachia, Hamid, editor, Gegov, Alexander, editor, Langensiepen, Caroline, editor, and McGinnity, Martin, editor

Published
2019
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47. Towards active muscle pattern analysis for dynamic hand motions via sEMG

Author

Li, Jiahan, Fang, Yinfeng, Huang, Yongan, Li, Gongfa, Ju, Zhaojie, Liu, Honghai, Lotfi, Ahmad, Bouchachia, Hamid, Gegov, Alexander, Langensiepen, Caroline, and McGinnity, Martin

Abstract

Surface Electromyographys (sEMG) as a widespread human-computer interaction method can reflect the activity of human muscles. When the human forearm finishes different hand motions, there will be strong sEMG signals in different regions of the skin surface. This paper investigates the mapping relationship between sEMG signal patterns and the dynamic hand motions. Four different hand motions are studied based on the extracted signal with mean absolute value (MAV) features and the shape-preserving piecewise cubic interpolation method. In the experiments, a 16-channel electrode sleeve is used to collect 9-subject EMG signals. According to the distribution of electrodes in the forearm, the forearm surface is divided into 8 different muscle regions. The preliminary experimental results show that different hand motions can cause different distribution of sEMG signals in different regions. It confirms that different subjects show similar patterns for the same motions. The experimental results can be applied as new sEMG features with a higher computational speed.

Published
2018

48. Fuzzy modeling for uncertain nonlinear systems using fuzzy equations and Z-numbers

Author

Jafari, Raheleh, Razvarz, Sina, Gegov, Alexander, Satyam, Paul, Lotfi, Ahmad, Bouchachia, Hamid, Gegov, Alexander, Langensiepen, Caroline, and McGinnity, Martin

Subjects
Fuzzy Modeling, ComputingMethodologies_PATTERNRECOGNITION, Mathematics::General Mathematics, ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION, MathematicsofComputing_NUMERICALANALYSIS, Computing, Z-number, Uncertain Nonlinear System, ComputingMethodologies_GENERAL, Computer Science(all)
Abstract

In this paper, the uncertainty property is represented by Z-number as the coefficients and variables of the fuzzy equation. This modification for the fuzzy equation is suitable for nonlinear system modeling with uncertain parameters. Here, we use fuzzy equations as the models for the uncertain nonlinear systems. The modeling of the uncertain nonlinear systems is to find the coefficients of the fuzzy equation. However, it is very difficult to obtain Z-number coefficients of the fuzzy equations. Taking into consideration the modeling case at par with uncertain nonlinear systems, the implementation of neural network technique is contributed in the complex way of dealing the appropriate coefficients of the fuzzy equations. We use the neural network method to approximate Z-number coefficients of the fuzzyequations.

Published
2018

49. Mining unit feedback to explore students’ learning experiences

Author

Mutlaq Ibrahim, Zainab, Bader-El-Den, Mohamed, Cocea, Mihaela, Lotfi, Ahmad, Bouchachia, Hamid, Gegov, Alexander, Langensiepen, Caroline, and McGinnity, Martin

Abstract

Students’ textual feedback holds useful information about their learning experience, it can include information about teaching methods, assessment design, facilities, and other aspects of teaching. This can form a key point for educators and decision makers to help them in advancing their systems. In this paper, we proposed a data mining framework for analysing end of unit general textual feedback using four machine learning algorithms, support vector machines, decision tree, random forest, and naive bays. We filtered the whole data set into two subsets, one subset is tailored to assessment practices (assessment related), and the other one is the non-assessment related data subset, We ran the above algorithms on the whole data set, and on the new data subsets. We also, adopted a semi automatic approach to check the classification accuracy of assessment related instances under the whole data set model. We found that the accuracy of general feedback data set models were higher than the accuracy of the assessment related models and nearly the same value of the non- assessment related modeles. The accuracy of assessment related models were approximated to the accuracy of the assessment related instances under the full data set models.

Published
2018

50. Dendritic Cell Algorithm with Fuzzy Inference System for Input Signal Generation

Author

Longzhi Yang, Noe Elisa, Zheming Zuo, Jie Li, Lotfi, Ahmad, Bouchachia, Hamid, Gegov, Alexander, Langensiepen, Caroline, and McGinnity, Martin

Subjects
Computer science, business.industry, G400, Process (computing), Initialization, Pattern recognition, Feature selection, 02 engineering and technology, Function (mathematics), Signal, Data set, Set (abstract data type), Binary classification, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business
Abstract

Dendritic cell algorithm (DCA) is a binary classification system developed by abstracting the biological danger theory and the functioning of human dendritic cells. The DCA takes three signals as inputs, including danger, safe and pathogenic associated molecular pattern (PAMP), which are generated in its pre-processing and initialization phase. In particular, after a feature selection process for a given training data set, each selected attribute is assigned to one of the three input signals. Then, these input signals are calculated as the aggregation of their associated features, usually implemented by a simple average function followed by a normalisation process. If a nonlinear relationship exists between a signal and its corresponding selected attributes, the resulting signal using the average function may negatively affect the classification results of the DCA. This work proposes an approach named TSK-DCA to address such limitation by aggregating the assigned features of a signal linearly or non-linearly depending on their inherit relationship using the TSK+ fuzzy inference system. The proposed approach was evaluated and validated using the popular KDD99 data set, and the experimental results indicate the superiority of the proposed approach compared to its conventional counterpart.

Published
2018

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