Artificial Intelligence group
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Latest research outputs
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A comprehensive classification of deep learning libraries
Pandey, H. and Windridge, D. 2019. A comprehensive classification of deep learning libraries. Yang, X.S., Sherratt, S., Dey, N. and Joshi, A. (ed.) 3rd International Congress on Information and Communication Technology. London, UK 27 - 28 Feb 2018 Singapore Springer. pp. 427-435 https://doi.org/10.1007/978-981-13-1165-9_40Conference paper
Context aware virtual assistant with case-based conflict resolution in multi-user smart home environment
Ospan, B., Khan, N., Augusto, J., Quinde, M. and Nurgaliyev, K. 2018. Context aware virtual assistant with case-based conflict resolution in multi-user smart home environment. 2018 International Conference on Computing and Network Communications (CoCoNet). Astana, Kazakhstan 15 - 17 Aug 2018 IEEE Computer Society. pp. 36-44 https://doi.org/10.1109/CoCoNet.2018.8476898Conference paper
Fish consciousness [commentary on Woodruff on Fish Feel]
Gamez, D. 2018. Fish consciousness [commentary on Woodruff on Fish Feel]. Animal Sentience.Article
A brain-inspired cognitive system that mimics the dynamics of human thought
Ji, Y., Gamez, D. and Huyck, C. 2018. A brain-inspired cognitive system that mimics the dynamics of human thought. AI-2018 Thirty-eighth SGAI International Conference on Artificial Intelligence. Cambridge, UK 11 - 13 Dec 2018 Springer. pp. 50-62 https://doi.org/10.1007/978-3-030-04191-5_4Conference paper
Two simple NeuroCognitive associative memory models
Huyck, C. and Ji, Y. 2018. Two simple NeuroCognitive associative memory models. International Conference on Cognitive Modeling 2018. Madison Wisconsin 20 - 24 Jul 2018 pp. 31-36Conference poster
Implementing Rules with Aritificial Neurons
Huyck, C. and Kreivena, D. 2018. Implementing Rules with Aritificial Neurons. AI-2018 38th SGAI International Conference on Artificial Intelligence. Cambridge 11 - 13 Dec 2018 Springer. pp. 21-33 https://doi.org/10.1007/978-3-030-04191-5_2Conference paper
Analysis & design of data farming algorithm for cardiac patient data
Shahnawaz, M., Saxena, K. and Pandey, H. 2018. Analysis & design of data farming algorithm for cardiac patient data. 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence). India 11 - 12 Jan 2018 Institute of Electrical and Electronics Engineers (IEEE). pp. 114-118 https://doi.org/10.1109/CONFLUENCE.2018.8442527Conference paper
A new clustering method using an augmentation to the self organizing maps
Kumar Roy, D. and Pandey, H. 2018. A new clustering method using an augmentation to the self organizing maps. 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence). India 11 - 12 Jan 2018 Institute of Electrical and Electronics Engineers (IEEE). pp. 739-742 https://doi.org/10.1109/CONFLUENCE.2018.8442431Conference paper
Criminal pattern identification based on modified K-means clustering
Aljrees, T., Shi, D., Windridge, D. and Wong, B. 2016. Criminal pattern identification based on modified K-means clustering. 2016 International Conference on Machine Learning and Cybernetics (ICMLC). 2, pp. 799-806. https://doi.org/10.1109/ICMLC.2016.7872990Article
Channel state information-based detection of Sybil attacks in wireless networks
Wang, C., Zhu, L., Gong, L., Zhao, Z., Yang, L., Liu, Z. and Cheng, X. 2018. Channel state information-based detection of Sybil attacks in wireless networks. Journal of Internet Services and Information Security. 8 (1), pp. 2-17. https://doi.org/10.22667/JISIS.2018.02.28.002Article
Could neurolecturing address the limitations of live and recorded lectures?
Gamez, D. 2018. Could neurolecturing address the limitations of live and recorded lectures? Humana.Mente Journal of Philosophical Studies. 33, pp. 43-58.Article
Predicting fraud in mobile money transfer using case-based reasoning
Adedoyin, A., Kapetanakis, S., Samakovitis, G. and Petridis, M. 2017. Predicting fraud in mobile money transfer using case-based reasoning. SGAI 2017: International Conference on Innovative Techniques and Applications of Artificial Intelligence. Cambridge, United Kingdom 12 - 14 Dec 2017 Springer. https://doi.org/10.1007/978-3-319-71078-5_28Conference paper
ROS based autonomous control of a humanoid robot
Kalyani, G., Gandhi, V., Yang, Z. and Geng, T. 2016. ROS based autonomous control of a humanoid robot. 25th International Conference on Artificial Neural Networks (ICANN). Barcelona, Spain 06 - 09 Sep 2016 Springer. pp. 550-551 https://doi.org/10.1007/978-3-319-44778-0Conference poster
A spiking half-cognitive model for classification
Huyck, C. and Kulkarni, R. 2018. A spiking half-cognitive model for classification. Connection Science. 30 (3), pp. 285-305. https://doi.org/10.1080/09540091.2018.1443317Article
Bit mask-oriented genetic algorithm for grammatical inference and premature convergence
Pandey, H., Chaudhary, A. and Mehrotra, D. 2018. Bit mask-oriented genetic algorithm for grammatical inference and premature convergence. International Journal of Bio-Inspired Computation. 12 (1), pp. 54-69. https://doi.org/10.1504/IJBIC.2018.10014202Article
Maintaining regularity and generalization in data using the minimum description length principle and genetic algorithm: case of grammatical inference
Pandey, H., Chaudhary, A., Mehrotra, D. and Kendall, G. 2016. Maintaining regularity and generalization in data using the minimum description length principle and genetic algorithm: case of grammatical inference. Swarm and Evolutionary Computation. 31, pp. 11-23. https://doi.org/10.1016/j.swevo.2016.05.002Article
A comparative review of approaches to prevent premature convergence in GA
Pandey, H., Chaudhary, A. and Mehrotra, D. 2014. A comparative review of approaches to prevent premature convergence in GA. Applied Soft Computing. 24, pp. 1047-1077. https://doi.org/10.1016/j.asoc.2014.08.025Article
Grammar induction using bit masking oriented genetic algorithm and comparative analysis
Pandey, H., Chaudhary, A. and Mehrotra, D. 2016. Grammar induction using bit masking oriented genetic algorithm and comparative analysis. Applied Soft Computing. 38, pp. 453-468. https://doi.org/10.1016/j.asoc.2015.09.044Article
CABots and other neural agents
Huyck, C. and Mitchell, I. 2018. CABots and other neural agents. Frontiers in Neurorobotics. 12, pp. 1-12. https://doi.org/10.3389/fnbot.2018.00079Article
Mindfulness Mirror
James-Reynolds, C. and Currie, E. 2018. Mindfulness Mirror. BCS Machine Intelligence competition. BCS London Office, First Floor, The Davidson Building, 5 Southampton Street, London 05 Oct 2018Conference item
Environmental pleiotropy and demographic history direct adaptation under antibiotic selection
Gifford, D., Krašovec, R., Aston, E., Belavkin, R., Channon, A. and Knight, C. 2018. Environmental pleiotropy and demographic history direct adaptation under antibiotic selection. Heredity. 121 (5), pp. 438-448. https://doi.org/10.1038/s41437-018-0137-3Article
Opposing effects of final population density and stress on Escherichia coli mutation rate
Krašovec, R., Richards, H., Gifford, D., Belavkin, R., Channon, A., Aston, E., McBain, A. and Knight, C. 2018. Opposing effects of final population density and stress on Escherichia coli mutation rate. The ISME journal. 12 (12), pp. 2981-2987. https://doi.org/10.1038/s41396-018-0237-3Article
Accurate Sybil attack detection based on fine-grained physical channel information
Wang, C., Zhu, L., Gong, L., Zhao, Z., Yang, L., Liu, Z. and Cheng, X. 2018. Accurate Sybil attack detection based on fine-grained physical channel information. Sensors. 18 (3). https://doi.org/10.3390/s18030878Article
DivORAM: Towards a practical oblivious RAM with variable block size
Liu, Z., Huang, Y., Li, J., Cheng, X. and Shen, C. 2018. DivORAM: Towards a practical oblivious RAM with variable block size. Information Sciences. 447, pp. 1-11. https://doi.org/10.1016/j.ins.2018.02.071Article
M-SSE: an effective searchable symmetric encryption with enhanced security for mobile devices
Gao, C., Lv, S., Wei, Y., Wang, Z., Liu, Z. and Cheng, X. 2018. M-SSE: an effective searchable symmetric encryption with enhanced security for mobile devices. IEEE Access. 6, pp. 38860-38869. https://doi.org/10.1109/ACCESS.2018.2852329Article
A distributed anomaly detection system for in-vehicle network using HTM
Wang, C., Zhao, Z., Gong, L., Zhu, L., Liu, Z. and Cheng, X. 2018. A distributed anomaly detection system for in-vehicle network using HTM. IEEE Access. 6, pp. 9091-9098. https://doi.org/10.1109/ACCESS.2018.2799210Article
An improved block matching algorithm for motion estimation in video sequences and application in robotics
Bhattacharjee, K., Kumar, S., Pandey, H., Pant, M., Windridge, D. and Chaudhary, A. 2018. An improved block matching algorithm for motion estimation in video sequences and application in robotics. Computers & Electrical Engineering. 68, pp. 92-106. https://doi.org/10.1016/j.compeleceng.2018.03.045Article
Human and machine consciousness
Gamez, D. 2018. Human and machine consciousness. Cambridge, UK. Open Book Publishers.Authored Book
Crime pattern recognition based on high-performance computing
Eissa, A., Cheng, X. and Petridis, M. 2018. Crime pattern recognition based on high-performance computing. 2017 International Conference Next Generation Community Policing. Heraklion, Crete, Greece 25 - 27 Oct 2017Conference paper
The neural cognitive architecture
Huyck, C. 2017. The neural cognitive architecture. AAAI 2017 FALL Symposium Series: Symposium on A Standard Models of the Mind. Arlington, Virginia, USA 09 - 11 Nov 2017 Association for the Advancement of Artificial Intelligence (AAAI). pp. 365-370Conference paper
Neuron-based control mechanisms for a robotic arm and hand
Singh, N., Huyck, C., Gandhi, V. and Jones, A. 2017. Neuron-based control mechanisms for a robotic arm and hand. International Journal of Computer, Electrical, Automation, Control and Information Engineering. 11 (2), pp. 221-229. https://doi.org/10.5281/zenodo.1128871Article
Enhancing active vision system categorization capability through uniform local binary patterns
Lanihun, O., Tiddeman, B., Tuci, E. and Shaw, P. 2015. Enhancing active vision system categorization capability through uniform local binary patterns. ALIA 2014: 1st Artificial Life and Intelligent Agents symposium. Bangor, United Kingdom 05 - 06 Nov 2014 Springer. https://doi.org/10.1007/978-3-319-18084-7_3Conference paper
Evolutionary swarm robotics: genetic diversity, task-allocation and task-switching
Tuci, E. 2014. Evolutionary swarm robotics: genetic diversity, task-allocation and task-switching. ANTS 2014: International Conference on Swarm Intelligence. Brussels, Belgium 10 - 12 Sep 2014 Springer. https://doi.org/10.1007/978-3-319-09952-1_9Conference paper
Simulated road following using neuroevolution
Narayan, A., Tuci, E. and Labrosse, F. 2015. Simulated road following using neuroevolution. ALIA 2014: 1st Artificial Life and Intelligent Agents symposium. Bangor, United Kingdom 05 - 06 Nov 2014 Springer. https://doi.org/10.1007/978-3-319-18084-7_2Conference paper
Cooperative object transport using evolutionary swarm robotics methods
Alkilabi, M., Lu, C. and Tuci, E. 2015. Cooperative object transport using evolutionary swarm robotics methods. European Conference on Artificial Life 2015, ECAL 2015. York, UK 20 Jul 2015 pp. 464-471 https://doi.org/10.7551/978-0-262-33027-5-ch083Conference paper
An active vision approach to the road following problem
Narayan, A., Labrosse, F. and Tuci, E. 2015. An active vision approach to the road following problem. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Hamburg, Germany 28 Sep - 02 Oct 2015 pp. 4650-4655 https://doi.org/10.1109/IROS.2015.7354039Conference paper
Advancing evolutionary coordination for fixed-wing communications UAVs
Giagkos, A., Tuci, E. and Wilson, M. 2015. Advancing evolutionary coordination for fixed-wing communications UAVs. Conference Towards Autonomous Robotic Systems. 9287, pp. 124-135. https://doi.org/10.1007/978-3-319-22416-9_14Article
Improving active vision system categorization capability through Histogram of Oriented Gradients
Lanihun, O., Tiddeman, B., Tuci, E. and Shaw, P. 2015. Improving active vision system categorization capability through Histogram of Oriented Gradients. Conference Towards Autonomous Robotic Systems. 9287, pp. 143-148. https://doi.org/10.1007/978-3-319-22416-9_16Article
Design and analysis of proximate mechanisms for cooperative transport in real robots
Mohammed Alkilabi, M., Narayan, A. and Tuci, E. 2016. Design and analysis of proximate mechanisms for cooperative transport in real robots. ANTS 2016:10th International Conference on Swarm Intelligence. Brussels, Belgium 07 - 09 Sep 2016 Springer. https://doi.org/10.1007/978-3-319-44427-7_9Conference paper
On the evolution of homogeneous two-robot teams: clonal versus aclonal approaches
Tuci, E. and Trianni, V. 2014. On the evolution of homogeneous two-robot teams: clonal versus aclonal approaches. Neural Computing and Applications. 25 (5), pp. 1063-1076. https://doi.org/10.1007/s00521-014-1594-0Article
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