Dr Lahcen Ouarbya

Book Section

• Formalizing executable dynamic and forward slicing. Danicic, Sebastian; Gyimóthy, Tibor; Harman, Mark; Kiss, Akos; Ouarbya, Lahcen and Binkley, Dave. 2004. Formalizing executable dynamic and forward slicing. In: UNSPECIFIED, ed. 4th International Workshop on Source Code Analysis and Manipulation (SCAM 04). , Los Alamitos, California, USA: IEEE Computer Society Press, pp. 43-52.
• ConSUS: A scalable approach to conditioned slicing Daoudi, Mohammed; Danicic, Sebastian; Howroyd, John; Harman, Mark; Fox, Chris; Ouarbya, Lahcen and Ward, Martin. 2002. ConSUS: A scalable approach to conditioned slicing. In: UNSPECIFIED, ed. IEEE Working Conference on Reverse Engineering (WCRE 2002). Los Alamitos, California, USA: IEEE Computer Society Press, pp. 109-118.
• An interprocedural amorphous slicer for WSL Harman, Mark; Hu, Lin; Zhang, Xingyuan; Munro, Malcolm; Danicic, Sebastian; Daoudi, Mohammed and Ouarbya, Lahcen. 2002. An interprocedural amorphous slicer for WSL. In: UNSPECIFIED, ed. IEEE International Workshop on Source Code Analysis and Manipulation (SCAM 2002). Los Alamitos, California, USA: IEEE Computer Society Press, pp. 105-114. ISBN 978-0769517940

Article

• Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition Alharbi, Fayez; Ouarbya, Lahcen and Ward, Jamie A. 2022. Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition. Sensors, 22(4), 1373. ISSN 1424-8220
• The use of sequential recurrent neural filters in forecasting the Dst index for the strong magnetic storm of autumn 2003 Ouarbya, Lahcen; Mirikitani, Derrick Takeshi and Martin, Eamonn. 2012. The use of sequential recurrent neural filters in forecasting the Dst index for the strong magnetic storm of autumn 2003. Applied Mathematics Letters, 25(10), pp. 1361-1366. ISSN 0893-9659
• Evolving Recurrent Neural Models of Geomagnetic Storms Mirikitani, Derrick T.; Tsui, Lisa and Ouarbya, Lahcen. 2011. Evolving Recurrent Neural Models of Geomagnetic Storms. Intelligent Data Engineering and Automated Learning - IDEAL 2011, 6936, pp. 244-251.

Conference or Workshop Item

• Enhanced Solar Potential Analysis: Separating Terraced House Rooftops Using Convolutional Neural Networks Zhang, Kai and Ouarbya, Lahcen. 2024. 'Enhanced Solar Potential Analysis: Separating Terraced House Rooftops Using Convolutional Neural Networks'. In: 9th IEEE International Conference on Computational Intelligence and Applications (ICCIA 2024). Haikou, China 9-11 August 2024.
• On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNI Musto, Henry; Stamate, Daniel; Logofatu, Doina and Ouarbya, Lahcen. 2024. 'On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNI'. In: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Istanbul, Turkey 5 - 8 December 2023.
• An investigation into computational methods for classifying fishing vessels to identify illegal, unreported and unregulated fishing activity Grey, Benedict; Ouarbya, Lahcen and Blackwell, Tim. 2024. 'An investigation into computational methods for classifying fishing vessels to identify illegal, unreported and unregulated fishing activity'. In: 2023 8th International Conference on Computational Intelligence and Applications (ICCIA). Haikou, China 23-25 June 2023.