Investigating modularity and transparency within bioinspired connectionist architectures using genetic and epigenetic models.
PhD thesis, 2022
Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Modularity Within Artificial Gene Regulatory Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Dilated LSTM with attention for Classification of Suicide Notes.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019
Evolutionary Constraint in Artificial Gene Regulatory Networks.
Proceedings of the Advances in Computational Intelligence Systems, 2018