Items where Subject is "G700 Artificial Intelligence"

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Number of items at this level: 19.

A

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. p. 1. ISSN 2169-3536 (In Press)

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

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

Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, J. (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. (In Press)

F

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. ISSN 1384-5810 (In Press)

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.

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.

L

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

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. (In Press)

S

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. (In Press)

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. (In Press)

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.

Stefania, Paladini (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 978-3-319-18153-0 (In Press)

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.

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. ISSN 2169-3536

This list was generated on Tue Jun 25 04:30:11 2019 UTC.

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