Items where Subject is "G700 Artificial Intelligence"

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Number of items at this level: 41.

A

Abbas, Asmaa and Abdelsamea, Mohammed and Gaber, Mohamed Medhat (2020) Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. Applied Intelligence. ISSN 0924-669X

Abbas, Asmaa and Abdelsamea, Mohammed and Gaber, Mohamed Medhat (2020) DeTraC: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks. IEEE Access, 8. pp. 74901-74913. ISSN 2169-3536

Abdallah, Fatima and Basurra, Shadi and Gaber, Mohamed Medhat (2018) A Non-intrusive Heuristic for Energy Messaging Intervention Modelled using a Novel Agent-based Approach. IEEE Access, 7. pp. 1627-1646. ISSN 2169-3536

Abdallah, Zahraa S. and Gaber, Mohamed Medhat (2020) Co-eye: A multi-resolution ensemble classifier for Symbolically Approximated Time Series. Machine Learning. ISSN 1573-0565

Alhalabi, Besher and Gaber, Mohamed Medhat and Basurra, Shadi (2019) EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles. In: IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), 06-09 October, 2019, Bari, Italy.

Azad, R. Muhammad Atif (2015) Krzysztof Krawiec: Behavioral program synthesis with genetic programming. Genetic Programming and Evolvable Machines. pp. 1-3. ISSN 1389-2576

C

Colombo, Mattia and Dolhasz, Alan and Harvey, Carlo (2020) A Computer Vision Inspired Automatic Acoustic Material Tagging System for Virtual Environments. In: IEEE Conference on Games, 24th-27th August 2020, Kindai, Osaka. Virtual.

Cooper, Frank (2018) How Do You Replace The Irreplaceable? In: The Santa Fe Symposium, 20th - 23rd May 2018, Albuquerque New Mexico.

D

Demaidi, Mona Nabil and Gaber, Mohamed Medhat and Filer, Nick (2018) OntoPeFeGe: Ontology-based Personalised Feedback Generator. IEEE Access. pp. 1-20. ISSN 2169-3536

Dolhasz, Alan and Harvey, Carlo and Williams, Ian (2020) Towards Unsupervised Image Harmonisation. In: 15th International Conference on Computer Vision Theory and Applications, 27.02.2020-29.02.2020, Valetta, Malta.

Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, Jagdev (2019) DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. In: The 2019 International Joint Conference on Neural Networks (IJCNN), July 14-19, 2019, Budapest, Hungary.

Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, Jagdev (2019) Leap2Trend: A Temporal Word Embedding Approach for Instant Detection of Emerging Scientific Trends. IEEE Access, 7. p. 1. ISSN 2169-3536

Duncan, Heather and Fule, Balazs and Rice, Iain and Stich, Alice and Lowe, David (2020) Wireless monitoring and Real-time Adaptive Predictive Indicator of Deterioration. Nature, 10 (11366). ISSN 1476-4687

F

Fawagreh, Khaled and Gaber, Mohamed Medhat (2020) Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach. Computing. ISSN 0010-485X

Fu, Yang and Wu, Wenyan and Gao, Jinliang (2015) Simulation and conservation of the end use water based on behaviour intervention modelling. Procedia Engineering, 119 (2015). pp. 761-770. ISSN 1877-7058, ESSN: 1877-7058

G

Gaber, Mohamed Medhat and Aneiba, Adel and Basurra, Shadi and Batty, Oliver and Elmisery, Ahmed and Kovalchuk, Yevgeniya and Rehman, Muhammad Habib (2018) Internet of Things and data mining: From applications to techniques and systems. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. e1292. ISSN 19424787

Ghomeshi, Hossein and Gaber, Mohamed Medhat and Kovalchuk, Yevgeniya (2019) EACD: evolutionary adaptation to concept drifts in data streams. Data Mining and Knowledge Discovery, 33 (3). pp. 663-694. ISSN 1384-5810

Ghomeshi, Hossein and Gaber, Mohamed Medhat and Kovalchuk, Yevgeniya (2019) A Non-Canonical Hybrid Metaheuristic Approach to Adaptive Data Stream Classification. Future Generation Computer Systems, 102 (Jan). pp. 127-139. ISSN 0167-739X

Ghomeshi, Hossein and Gaber, Mohamed Medhat and Kovalchuk, Yevgeniya (2019) RED-GENE: An Evolutionary Game Theoretic Approach to Adaptive Data Stream Classification. IEEE Access. p. 1. ISSN 2169-3536

H

Haidar, Diana and Gaber, Mohamed Medhat (2018) Data Stream Clustering for Real-Time Anomaly Detection: An Application to Insider Threats. In: Clustering Methods for Big Data Analytics. Springer, pp. 115-144.

Hanga, Khadijah and Kovalchuk, Yevgeniya (2019) Machine Learning and Multi-Agent Systems in Oil and Gas Industry Applications: A Survey. Computer Science Review, 34. ISSN 1574-0137

Hatwell, Julian and Gaber, Mohamed Medhat and Atif Azad, R. Muhammad (2020) Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences. BMC Medical Informatics and Decision Making, 20. ISSN 1472-6947

Hatwell, Julian and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif (2020) CHIRPS: Explaining random forest classification. Artificial Intelligence Review. ISSN 0269-2821

He, Yaoyao and Qin, Yang and Wang, Shuo and Wang, Xu and Wang, Chao (2018) Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network. Applied Energy, 233. pp. 565-575.

Hillman, John (2019) The Incompleteness of Looking. Membrana, 4 (4). pp. 66-69. ISSN 2463-8501

Hillman, John (2019) Nepopolnost Gledanja / The Incompleteness of Looking (translated into Slovenian). Fotografija 80/81. ISSN 1408-3566

L

Lee, Seo Jin and Yoo, Paul D. and Asyhari, A. Taufiq and Jhi, Yoonchan and Chermak, Lounis and Yeun, Chan Yeob and Taha, Kamal (2020) IMPACT: Impersonation Attack Detection via Edge Computing Using Deep Autoencoder and Feature Abstraction. IEEE Access, 8. pp. 65520-65529. ISSN 2169-3536

Li, Shanshan and Wang, Ronghe and Wu, Wenyan and sun, jilong and Jing, yanlong (2015) Non-hydraulic factors analysis of pipe burst in water distribution systems. Procedia Engineering, 119. pp. 53-62. ISSN 1877-7058, ESSN: 1877-7058

M

Ma, Alan (2020) Emerging legal issues in blockchain for construction supply chains. In: 2020 2nd International Workshop on Big Data and Computing, 14th - 16th November 2020, Newcastle University. (In Press)

N

Nagunwa, Thomas and Naqvi, S. and Fouad, Shereen and Shah, H. (2019) A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites. In: International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019), 13-15 May 2019, Seville, Spain.

P

Paladini, Stefania (2016) Water Controversies Between Conflict and Cooperation: Agent-Based Models for Non-traditional Security in D. Secchi, M. Neumann (eds.), Agent-Based Simulation of Organizational Behavior. In: Agent-Based Simulation of Organizational Behavior. Springer, Switzerland, pp. 311-327. ISBN 9783319181530

S

Sambo, Aliyu Sani and Azad, R. Muhammad Atif and Kovalchuk, Yevgeniya and Indramohan, Vivek and Shah, H. (2020) Leveraging Asynchronous Parallel Computing to Produce Simple Genetic Programming Computational Models. In: ACM Symposium on Applied Computing, March 30, 2020 - April 3, 2020, Brno, Czech Republic.

Sambo, Aliyu Sani and Azad, R. Muhammad Atif and Kovalchuk, Yevgeniya and Indramohan, Vivek and Shah, H. (2020) Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models. In: 23rd European Conference on Genetic Programming (EuroGP) 2020, 15-17 April 2020, Seville, Spain.

Shahra, Essa and Wu, Wenyan (2020) Water Contaminants Detection Using Sensor Placement Approach in Smart Water Networks. Journal of Ambient Intelligence and Humanized Computing. pp. 1-16. ISSN ISSN 1868-5137

Southall, Carl and Jillings, N. and Stables, Ryan and Hockman, Jason (2017) ADTWeb: An open-source browser based automatic drum transcription system. In: International Society for Music Information Retrieval Conference.

Southall, Carl and Stables, Ryan and Hockman, Jason (2018) Improving peak picking using multiple time-step loss functions. In: International Society of Music Information Retrieval Conference, 23rd-27th September, 2018, Paris, France.

Southall, Carl and Stables, Ryan and Hockman, Jason (2018) Player vs Transcriber: A Game approach to automatic music transcription. In: International Society of Music Information Retrieval Conference, 23rd-27th September, 2018, Paris, France.

Southall, Carl and Wu, Chih-Wei and Lerch, Alexander and Hockman, Jason (2017) MDB Drums: An annotated subset of MedleyDB for automatic drum transcription. In: International Society for Music Information Retrieval Conference, 23rd-27th October 2017, Suzhou, China.

V

Vijay, Venkatesh Chennam (2017) A Knowledge Based Educational (KBEd) framework for enhancing practical skills in engineering distance learners through an augmented reality environment. Doctoral thesis, Birmingham City University.

W

Wu, Chih-Wei and Dittmar, Christian and Southall, Carl and Vogl, Richard and Widmer, Gerhard and Hockman, Jason and Muller, Meinard and Lerch, Alexander (2018) An review of automatic drum transcription. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26 (9). pp. 1457-1483. ISSN 2329-9290

Z

Zhang, Hang and Liu, Weike and Wang, Shuo and Shan, Jicheng and Liu, Qingbao (2019) Resample-based Ensemble Framework for Drifting Imbalanced Data Streams. IEEE Access, 7 (2019). ISSN 2169-3536

This list was generated on Thu Oct 22 17:55:03 2020 UTC.

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