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Publications

  • 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 [Link], Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, Alejandro Cervantes and David Quintana, Expert Systems with Applications Journal, January 2020
  • Deep Learning Methods in Protein Structure Prediction [Link], Mirko Torrisi, Gianluca Pollastri, Quan Le, Computational and Structural Biotechnology Journal, January 2020
  • Using Text Classification Methods to Detect Malware [Link], Eoghan Cunningham, Oisın Boydell, Cormac Doherty, Benjamin Roques, and Quan Le, The 27th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2019), Galway, December 2019 
  • The Relevance of Cataract as a Risk Factor for Age-Related Macular Degeneration: A Machine Learning Approach [Link], Martínez-Velasco, A., Martínez-Villaseñor, L., Miralles-Pechuán, L., Perez-Ortiz, A. C., Zenteno, J. C., & Estrada-Mena, F. J. (2019). Applied Sciences9(24), 5550. December 2019
  • Multi-gene prognostic signatures and prediction of pathological complete response of ER-Positive HER2-negative breast cancer patients to neo-adjuvant chemotherapy [Link], C Mazo, S Barron, C Mooney, W M Gallagher, Annals of Oncology, Volume 30, October 2019
  • Incremental Market Behavior Classification in Presence of Recurring Concepts [Link], Andrés L. Suárez-Cetrulo, Alejandro Cervantes and David Quintana, Entropy 2019, 21, 25, January 2019
  • In Silico Approach for Immunohistochemical Evaluation of a Cytoplasmic Marker in Breast Cancer [Link], Claudia MazoEstibaliz Orue-Etxebarria, Ignacio ZabalzaMaria d. M. VivancoRobert M. Kypta, and Andoni Beristain, in Cancers 10(12), December 2018, 517.
  • Transfer learning for classification of cardiovascular tissues in histological images [Link], Claudia Mazo, Jose Bernal, Maria Trujillo, Enrique Alegre, Computer Methods and Programs in Biomedicine, Volume 165, October 2018, Pages 69-76
  • Deep Learning at the Shallow End: Malware Classification for Non-Domain Experts  [Link], Quan Le, Oisin Boydell, Brian Mac Namee, Mark Scanlon, Digital Investigation, Volume 26, Number 1, Pages S118-S126, ISSN 1742-2876, July 2018.
  • ROGER: An On-Line Flight Efficiency Monitoring System using ADS-B Data  [Link], Shen Wang, Aditya Grover, Brian Mac Namee, Philip Plantholt, Javier López-Leonés, and Pablo Sánchez-Escalonilla, 19th IEEE International Conference on Mobile Data Management(MDM), Aalborg, Denmark, June 2018.
  • Evaluating citywide bus service reliability using noisy GPS data [Link], Shen Wang and Brian Mac Namee, 3rd IEEE International Smart Cities Conference (ISC2), Wuxi, China, September 2017.
  • Topic Stability over Noisy Sources [Link], J Su, D Greene, O Boydell, Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT), Osaka, Japan, December 2016.
  • Comparison of Categorical Clustering Summary (PDF), Wang, F. Franco, H., Pugh, J. Ross, R. http://info.nathean.com/predict, October 2016.
  • Comparison of Categorical Clustering (PDF), Wang, F. Franco, H., Pugh, J. Ross, R. http://info.nathean.com/predict, October 2016.
  • TopicListener: Observing Key Topics from Multi-Channel Speech Audio Streams [Link], J Su, O Boydell, Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications (BigDataService 2016), Oxford, UK, March 2016.
  • Predicting cognitive load levels from speech data