Artificial Intelligence group


TitleArtificial Intelligence group

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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. 31-36

Conference 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_2

Conference 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.2018.8442527

Conference 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.2018.8442431

Conference paper

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/s41396-018-0237-3

Article

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.2016.7872990

Article

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.2018.02.28.002

Article

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.2018.2799210

Article

Human and machine consciousness
Gamez, D. 2018. Human and machine consciousness. Open Book Publishers.

Book

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_28

Conference 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/10.1007/978-3-319-44778-0

Conference 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/10.1080/09540091.2018.1443317

Article

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.2018.10014202

Article

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.2016.05.002

Article

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.2014.08.025

Article

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.2015.09.044

Article

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 2018

Conference item

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/s18030878

Article

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.2018.02.071

Article

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.2018.2852329

Article

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.2018.03.045

Article

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 2017

Conference 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. 365-370

Conference paper

Application of deep learning neural network for classification of TB lung CT images based on patches
Gao, X. and Qian, Y. 2017. Application of deep learning neural network for classification of TB lung CT images based on patches. ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF: CLEF 2017: Conference and Labs of the Evaluation Forum. Dublin, Ireland 11 - 14 Sep 2017 CEUR Workshop Proceedings.

Conference 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.1128871

Article

Programming a cognitive architecture with simulated neurons, Chris Eliasmith. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford University Press, Oxford (2013). 456 pp., ISBN: 978-0-19-026212-9 [Book review]
Huyck, C. 2017. Programming a cognitive architecture with simulated neurons, Chris Eliasmith. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford University Press, Oxford (2013). 456 pp., ISBN: 978-0-19-026212-9 [Book review]. Cognitive Systems Research. 41, pp. 36-37. https://doi.org/10.1016/j.cogsys.2016.09.002

Article

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_3

Conference 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_9

Conference 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_2

Conference 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-ch083

Conference 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.2015.7354039

Conference 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_14

Article

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_16

Article

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_9

Conference 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/s00521-014-1594-0

Article

On the design of generalist strategies for swarms of simulated robots engaged in a task-allocation scenario
Tuci, E. and Rabérin, A. 2015. On the design of generalist strategies for swarms of simulated robots engaged in a task-allocation scenario. Swarm Intelligence. 9 (4), pp. 267-290. https://doi.org/10.1007/s11721-015-0113-y

Article

Embodied language learning and cognitive bootstrapping: methods and design principles
Lyon, C., Nehaniv, C., Saunders, J., Belpaeme, T., Bisio, A., Fischer, K., Förster, F., Lehmann, H., Metta, G., Mohan, V., Morse, A., Nolfi, S., Nori, F., Rohlfing, K., Sciutti, A., Tani, J., Tuci, E., Wrede, B., Zeschel, A. and Cangelosi, A. 2016. Embodied language learning and cognitive bootstrapping: methods and design principles. International Journal of Advanced Robotic Systems. 13 (3), p. 105. https://doi.org/10.5772/63462

Article

Cooperative object transport with a swarm of e-puck robots: robustness and scalability of evolved collective strategies
Alkilabi, M., Narayan, A. and Tuci, E. 2017. Cooperative object transport with a swarm of e-puck robots: robustness and scalability of evolved collective strategies. Swarm Intelligence. 11 (3-4), pp. 185-209. https://doi.org/10.1007/s11721-017-0135-8

Article

Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles
Giagkos, A., Tuci, E., Wilson, M. and Charlesworth, P. 2014. Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles. TAROS 2014: 15th Towards Autonomous Robotic Systems annual conference. Birmingham, United Kingdom 01 - 03 Sep 2014 Springer. https://doi.org/10.1007/978-3-319-10401-0_5

Conference paper

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