A new approach for interpreting Random Forest models and its application to the biology of ageing. - Fabio Fabris; Aoife Doherty; Daniel Palmer; João Pedro de Magalhães; Alex Alves Freitas (Bioinform., 2018)

DFRWS IoT Forensic Challenge Report 1. - Daniel Palmer; Edward Blackburne; Theo Lemoine (Digital Forensic Education, 2020)

Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes. - Fabio Fabris; Daniel Palmer; João Pedro de Magalhães; Alex Alves Freitas (Briefings Bioinform., 2020)

Using deep learning to associate human genes with age-related diseases. - Fabio Fabris; Daniel Palmer; Khalid M. Salama; João Pedro de Magalhães; Alex Alves Freitas (Bioinform., 2020)

Interactive Methodology to Iteratively Add Functionality to Swarm Programs. - Daniel Palmer; Ryan Houghtaling; Marc Kirschenbaum; Morgan Might (ACSOS-C, 2021)

Mapping Unknown Environments With Instrumented Honey Bees. - Haron Abdel-Raziq; Daniel Palmer; Alyosha C. Molnar; Kirstin Petersen (ICRA, 2022)

Transfer learning of clinical outcomes from preclinical molecular data, principles and perspectives. - Axel Kowald; Israel Barrantes; Steffen Möller; Daniel Palmer; Hugo Murua Escobar; Anne Schwerk; Georg Fuellen (Briefings Bioinform., 2022)

Validation Requirements for AI-based Intervention-Evaluation in Aging and Longevity Research and Practice. - Georg Fuellen; Anton Kulaga; Sebastian Lobentanzer; Maximilian Unfried; Roberto Avelar; Daniel Palmer; Brian K. Kennedy (CoRR, 2024)