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2025	Automation of Predictive Maintenance: An Experimental Framework for Aircraft Landing Gear Engineering Reports Izaak Stanton, Kamran Munir, Ahsan Ikram, Murad El‐Bakry
2025	An ensemble approach to determine the number of latent dimensions and assess its reliability Communications in Statistics - Simulation and Computation Asana Neishabouri, Michel C. Desmarais
2025	Analysis of TCGA (The Cancer Genome Atlas) Data for Prognosis, Risk Categorization, and Survival of AML Patients Using Bioinformatics Indian Journal of Medical and Paediatric Oncology Bhavika Rishi, Shamsuz Zaman, Fouzia Siraj, Sree Vishmaya, Himanshu Dhanda, Manpreet Kaur, Sandeep Swain, Baseer Noor, Sumita Chaudhry, Ankur Jain, Prashant Prabhakar, Amitabh Singh, Aroonima Misra
2025	Predicting cyberbullying victimisation in emerging markets and developing countries using the Global School-Based Health Survey Machine Learning with Applications Paulo Ricardo Vieira Braga, Katie Rose Tyrrell
2024	Evaluating the effectiveness of a sliding window technique in machine learning models for mortality prediction in ICU cardiac arrest patients International Journal of Medical Informatics Lihi Danay, Roni Ramon-Gonen, Maria Gorodetski, David G. Schwartz
2024	Development of circular economy model using Industry 4.0’s machine learning techniques to improve performance metrics of MSMEs International Journal on Interactive Design and Manufacturing (IJIDeM) Dattatraya Balasaheb Sabale, Mahender Singh Kaswan, Rajeev Rathi
2024	A digital business transformation maturity model for micro enterprises in developing countries Global Business and Organizational Excellence Supattana Sukrat, Atchara Leeraphong
2023	Data-mining unveils structure–property–activity correlation of viral infectivity enhancing self-assembling peptides Nature Communications Kübra Kaygisiz, Lena Rauch-Wirth, Arghya Dutta, Xiaoqing Yu, Yuki Nagata, Tristan Bereau, Jan Münch, Christopher V. Synatschke, Tanja Weil
2022	Artificial Intelligence Approaches in Drug Discovery: Towards the Laboratory of the Future Current Topics in Medicinal Chemistry Luisa Frusciante, Anna Visibelli, Michela Geminiani, Annalisa Santucci, Ottavia Spiga
2022	Evaluation of facial skin age based on biophysical properties in vivo Journal of Cosmetic Dermatology Changhui Cho, Eunyoung Lee, Gyeonghun Park, Eunbyul Cho, Nahee Kim, Juhee Shin, Sanga Woo, Jaehyoun Ha, Jaesung Hwang
2021	Analysis of merged whole blood transcriptomic datasets to identify circulating molecular biomarkers of feed efficiency in growing pigs BMC Genomics Farouk Messad, Isabelle Louveau, David Renaudeau, Hélène Gilbert, Florence Gondret
2021	The study of the electromagnetic activator energy efficiency in the preparation of liquid organic waste for disposal IOP Conference Series: Earth and Environmental Science N V Limarenko, E V Krasnova, L A Pudean
2021	A review on machine learning approaches and trends in drug discovery Computational and Structural Biotechnology Journal Paula Carracedo-Reboredo, Jose Liñares-Blanco, Nereida Rodríguez-Fernández, Francisco Cedrón, Francisco J. Novoa, Adrian Carballal, Victor Maojo, Alejandro Pazos, Carlos Fernandez-Lozano
2021	Machine learning analysis of TCGA cancer data PeerJ Computer Science Jose Liñares-Blanco, Alejandro Pazos, Carlos Fernandez-Lozano
2021	Minimal neural network topology optimization for aesthetic classification Neural Computing and Applications Adrian Carballal, Francisco Cedron, Iria Santos, Antonino Santos, Juan Romero
2021	Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes Expert Systems with Applications Diego Fernández-Edreira, Jose Liñares-Blanco, Carlos Fernandez-Lozano
2020	Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques PeerJ Computer Science Alba Arceo-Vilas, Carlos Fernandez-Lozano, Salvador Pita, Sonia Pértega-Díaz, Alejandro Pazos
2020	Comparison of Outlier-Tolerant Models for Measuring Visual Complexity Entropy Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Iria Santos, Juan Romero
2019	Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs Genetics Selection Evolution Miriam Piles, Carlos Fernandez-Lozano, María Velasco-Galilea, Olga González-Rodríguez, Juan Pablo Sánchez, David Torrallardona, Maria Ballester, Raquel Quintanilla
2019	Information Theoretic Multi-Target Feature Selection via Output Space Quantization Entropy Konstantinos Sechidis, Eleftherios Spyromitros-Xioufis, Ioannis Vlahavas
2019	Visual complexity modelling based on image features fusion of multiple kernels PeerJ Carlos Fernandez-Lozano, Adrian Carballal, Penousal Machado, Antonino Santos, Juan Romero
2019	Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning Neuroinformatics Gadea Mata, Miroslav Radojević, Carlos Fernandez-Lozano, Ihor Smal, Niels Werij, Miguel Morales, Erik Meijering, Julio Rubio
2019	Encyclopedia of Biomedical Engineering Carlos Fernandez-Lozano, Adrián Carballal, Cristian R. Munteanu, Marcos Gestal, Víctor Maojo, Alejandro Pazos
2019	Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning International Journal of Molecular Sciences Cristian R. Munteanu, Marcos Gestal, Yunuen G. Martínez-Acevedo, Nieves Pedreira, Alejandro Pazos, Julián Dorado
2019	Learning and Analytics in Intelligent Systems Jose Liñares Blanco, Marcos Gestal, Julián Dorado, Carlos Fernandez-Lozano
2018	Proceedings of the First International Conference on Data Science, E-learning and Information Systems Carlos Fernandez-Lozano, Jose Liñares Blanco, Marcos Gestal, Julian Dorado, Alejandro Pazos
2018	Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection Scientific Reports Jose Liñares Blanco, Ana B. Porto-Pazos, Alejandro Pazos, Carlos Fernandez-Lozano
2018	Automatic multiscale vascular image segmentation algorithm for coronary angiography Biomedical Signal Processing and Control Adrian Carballal, Francisco J. Novoa, Carlos Fernandez-Lozano, Marcos García-Guimaraes, Guillermo Aldama-López, Ramón Calviño-Santos, José Manuel Vazquez-Rodriguez, Alejandro Pazos
2017	Decrypting Strong and Weak Single-Walled Carbon Nanotubes Interactions with Mitochondrial Voltage-Dependent Anion Channels Using Molecular Docking and Perturbation Theory Scientific Reports Michael González-Durruthy, Adriano V. Werhli, Vinicius Seus, Karina S. Machado, Alejandro Pazos, Cristian R. Munteanu, Humberto González-Díaz, José M. Monserrat
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