| A review of machine learning approaches to spam filtering TS Guzella, WM Caminhas Expert Systems with Applications 36 (7), 10206-10222, 2009 | 814 | 2009 |
| The genomic basis of Red Queen dynamics during rapid reciprocal host–pathogen coevolution A Papkou, T Guzella, W Yang, S Koepper, B Pees, R Schalkowski, ... Proceedings of the National Academy of Sciences 116 (3), 923-928, 2019 | 135 | 2019 |
| Polygenicity and Epistasis Underlie Fitness-Proximal Traits in the Caenorhabditis elegans Multiparental Experimental Evolution (CeMEE) Panel LM Noble, I Chelo, T Guzella, B Afonso, DD Riccardi, P Ammerman, ... Genetics 207 (4), 1663-1685, 2017 | 84 | 2017 |
| Identification of SPAM messages using an approach inspired on the immune system TS Guzella, TA Mota-Santos, JQ Uchôa, WM Caminhas Biosystems 92 (3), 215-225, 2008 | 33 | 2008 |
| Slower environmental change hinders adaptation from standing genetic variation TS Guzella, S Dey, IM Chelo, A Pino-Querido, VF Pereira, SR Proulx, ... PLoS genetics 14 (11), e1007731, 2018 | 28 | 2018 |
| A novel immune inspired approach to fault detection TS Guzella, TA Mota-Santos, WM Caminhas Artificial Immune Systems: 6th International Conference, ICARIS 2007, Santos …, 2007 | 17 | 2007 |
| How differing modes of non‐genetic inheritance affect population viability in fluctuating environments SR Proulx, S Dey, T Guzella, H Teotónio Ecology Letters 22 (11), 1767-1775, 2019 | 15 | 2019 |
| Towards a novel immune inspired approach to temporal anomaly detection TS Guzella, TA Mota-Santos, WM Caminhas Artificial Immune Systems: 6th International Conference, ICARIS 2007, Santos …, 2007 | 15 | 2007 |
| Artificial immune systems and kernel methods TS Guzella, TA Mota-Santos, WM Caminhas Artificial Immune Systems: 7th International Conference, ICARIS 2008, Phuket …, 2008 | 14 | 2008 |
| Regulatory T cells: Inspiration for artificial immune systems TS Guzella, TA Mota-Santos, WM Caminhas Artificial Immune Systems: 6th International Conference, ICARIS 2007, Santos …, 2007 | 7 | 2007 |
| Phenotypic stasis with genetic divergence F Mallard, L Noble, T Guzella, B Afonso, CF Baer, H Teotónio Peer Community Journal 3, 2023 | 6 | 2023 |
| Selection and drift determine phenotypic stasis despite genetic divergence F Mallard, L Noble, T Guzella, B Afonso, CF Baer, H Teotónio bioRxiv, 778282, 2019 | 5 | 2019 |
| Modelling the control of an immune response through cytokine signalling T Guzella, T Mota-Santos, J Uchôa, W Caminhas Artificial Immune Systems: 5th International Conference, ICARIS 2006, Oeiras …, 2006 | 4 | 2006 |
| Partitioning stable and unstable expression level variation in cell populations: A theoretical framework and its application to the T cell receptor TS Guzella, VM Barreto, J Carneiro PLOS Computational Biology 16 (8), e1007910, 2020 | 3 | 2020 |
| Towards Interactive Feature Selection with Human-in-the-loop M Larrañaga, D Gkorou, T Guzella, A Ypma, F Hasibi, RJ van Wijk IAL@PKDD/ECML 2192, 85-88, 2018 | 3 | 2018 |
| Proposta de um modelo de classificação de padrões baseado no sistema imune: uma aplicação para a identificação de spam TS Guzella, JQ Uchôa, TAM Santos, WM Caminhas VII Congresso Brasileiro de Redes Neurais 1, 2005 | 1 | 2005 |
| CCBNet: Confidential Collaborative Bayesian Networks Inference A Mălan, J Decouchant, T Guzella, L Chen arXiv preprint arXiv:2405.15055, 2024 | | 2024 |
| On the relevance of cellular signaling pathways for immune-inspired algorithms TS Guzella, TA Mota-Santos Artificial Immune Systems: 7th International Conference, ICARIS 2008, Phuket …, 2008 | | 2008 |
| Selection and drift determine phenotypic stasis F Mallard, L Noble, T Guzella, B Afonso, CF Baer, H Teotónio | | |
