Home/Our Work/Publications

  • An Overview of Deep Learning in Industry [Link], Le, Q., Miralles-Pechuán, L., Kulkarni, S., Su, J., & Boydell, O., In Data Analytics and AI (pp. 65-98), Auerbach Publications, Aug 2020
  • Gap Analysis in Decision Support Systems for Real Estate in the Era of the Digital Earth [Link], Hamidreza Rabiei-Dastjerdi, Gavin McArdle, Stephen A. Matthews & Peter Keenan, International Journal of Digital Earth, Aug 2020
  • Using an Ontology of the Human Cardiovascular System to Improve the Classification of Histological Images [Link], Claudia Mazo, Enrique Alegre & Maria Trujillo, Nature Scientific Reports 10, Article Number: 12276, July 2020
  • Cutting Through the Emissions: Feature Selection from Electromagnetic Side-Channel Data for Activity Detection [Link], Sayakkara, A., Miralles-Pechuán, L., Le-Khac, N. A., & Scanlon, M., Forensic Science International: Digital Investigation, 32, 300927, April 2020
  • A 2020 perspective on “A novel methodology for optimizing display advertising campaigns using genetic algorithms” [Link], Miralles-Pechuán, L., Hiram Ponce and Lourdes Martínez-Villaseñor, Electronic Commerce Research and Applications 40 (2020): 100953, April 2020
  • Clinical Decision Support Systems in Breast Cancer: A Systematic Review [Link], Claudia Mazo, Cathriona Kearns, Catherine Mooney and William M. Gallagher, Cancers 2020, 12(2), 369, February 2020
  • Convolution on Neural Networks for High-Frequency Trend Prediction of Cryptocurrency Exchange Rates Using Technical Indicators [