Selected Publications (2015-2021)
A. Saeed, D.R. Recupero, P.Remagnino, The Boundary Node Method for Multi-Robot Multi-Goal Path Planning Problems, to appear in Elsevier Expert Systems, 2021 (Q2/Q3).
A. Welikala, P. Remagnino et al., Automated Detection and Classification of Oral Lesions using Deep Learning for Early Detection of Oral Cancer, IEEE Access, 8:132677–132693 (Q1).
Schez-Sobrino, D. Vallejo, D.N.Monekosso, C. Glez-Morcillo, P. Remagnino, A distributed gamified system based on automatic assessment of physical exercise to promote remote rehabilitation of stroke patients, IEEE Access, 91424 – 91434(Q1)
L. Chang, C.S. Chan, P. Remagnino, Action Recognition on Continuous Video, Neural Computing and Applications (available online, Q2), 2020.
A. Saeed, D.R. Recupero, P. Remagnino, A boundary node method for path planning of mobile robots, Robotics and Autonomous Systems (Q1), Elsevier, 123(January):1-21, 2020.
Dupre, J. Fajtl, V. Argyriou, P. Remagnino, Improving Dataset Volumes and Model Accuracy with Semi-Supervised Iterative Self-Learning, IEEE Transactions on Image Processing (Q1), 29(1):4337-4348, 2020.
H. Lee, C.S. Chan, P.Remagnino, Multi-Organ Classification based on Convolutional and Recurrent Neural Networks, IEEE Transactions on Image Processing (Q1), 27(9):4287-4301, 2018.
H. Lee, C.S. Chan, S.J. Mayo, P.Remagnino, How Deep learning extracts and learns leaf features for plant classification, Elsevier Pattern Recognition (Q1) 71(Nov):1-13, 2017.
Gu, M. Sridhar, A. Cohn, D. Hogg, D.N. Monekosso, P. Remagnino, Weakly supervised analysis with spatio-temporal localization, Elsevier Neurocomputing (Q1), 216(Dec):778-789, 2016.