eLife Journal Paper acceptance
Hood, S, Cosma, G, A, GF, Johnson, C, Reeder, S, E, SM, Khan, M, A, GP (Accepted for publication) Identifying prostate cancer and its clinical risk in asymptomatic men using machine learning of high dimensional peripheral blood flow cytometric natural killer cell subset phenotyping data, eLife. To Appear.
March 2020: WCCI’20 paper acceptance
March 2020: Three papers accepted at the IEEE Computational Intelligence Society with two at the International Joint Conference on Neural Networks (IJCNN 2020); and one at the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020).
Turabee, G, Cosma, G, Madonna, V, Giangrande, P, Khowja, MR, Vakil, G, Gerada, C, Galea, M (Accepted for publication) Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging. In IEEE World Congress on Computational Intelligence (WCCI) 2020), Glasgow, Scotland.
Alani, AA, Cosma, G, Taherkhani, A (Accepted for publication) Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning. In IEEE World Congress on Computational Intelligence (WCCI) 2020, Glasgow, U.K.
Ogun, O, Enoh, M, Cosma, G, Taherkhani, A, Madonna, V (Accepted for publication) Enhancing Prediction in Cyclone Separators through Computational Intelligence. In IEEE World Congress on Computational Intelligence (WCCI) 2020, IEEE Congress on Evolutionary Computation (IEEE CEC), Glasgow, U.K.
March 2020: Neurocomputing Journal paper Acceptance
Taherkhani, A, Cosma, G, McGinnity, M (2020) AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning, Neurocomputing, 404, pp.351-366, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2020.03.064.
Source-code available from: https://github.com/gcosma/adaboostCNN