Joel Perdiz Arrais
AuthID: R-000-7M7
1
TITLE: A Novel Deep Learning Framework for Predicting Antimicrobial Peptide Activity Using ProtBert and Neural Networks
AUTHORS: Abbasi, Maryam; Vasconcelos, Veronica ; Vicente, Edgar M. C. O. S.; Santos, Ana L. M.; Arrais, Joel P.;
PUBLISHED: 2026, SOURCE: 12th Iberian Conference on Pattern Recognition and Image Analysis-IbPRIA in PATTERN RECOGNITION AND IMAGE ANALYSIS, IBPRIA 2025, PT II, VOLUME: 15938
AUTHORS: Abbasi, Maryam; Vasconcelos, Veronica ; Vicente, Edgar M. C. O. S.; Santos, Ana L. M.; Arrais, Joel P.;
PUBLISHED: 2026, SOURCE: 12th Iberian Conference on Pattern Recognition and Image Analysis-IbPRIA in PATTERN RECOGNITION AND IMAGE ANALYSIS, IBPRIA 2025, PT II, VOLUME: 15938
2
TITLE: Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery
AUTHORS: Luis H M Torres; Joel P Arrais; Bernardete Ribeiro;
PUBLISHED: 2025, SOURCE: Pattern Recognit., VOLUME: 166
AUTHORS: Luis H M Torres; Joel P Arrais; Bernardete Ribeiro;
PUBLISHED: 2025, SOURCE: Pattern Recognit., VOLUME: 166
3
TITLE: Predicting progression of mild cognitive impairment patients through four distinctive subgroups obtained by unsupervised learning algorithms
AUTHORS: Silva Spinola, Anuschka; Baldeiras, Ines; Santana, Isabel; Arrais, Joel P.;
PUBLISHED: 2025, SOURCE: JOURNAL OF ALZHEIMERS DISEASE, VOLUME: 108
AUTHORS: Silva Spinola, Anuschka; Baldeiras, Ines; Santana, Isabel; Arrais, Joel P.;
PUBLISHED: 2025, SOURCE: JOURNAL OF ALZHEIMERS DISEASE, VOLUME: 108
4
TITLE: CNN Models in Prediction of Feno Type from Genotype
AUTHORS: Guilherme Henriques; Maryam Abbasi; Daniel Martins; Joel Arrais;
PUBLISHED: 2025, SOURCE: 18th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2024 in Lecture Notes in Networks and Systems, VOLUME: 1350 LNNS
AUTHORS: Guilherme Henriques; Maryam Abbasi; Daniel Martins; Joel Arrais;
PUBLISHED: 2025, SOURCE: 18th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2024 in Lecture Notes in Networks and Systems, VOLUME: 1350 LNNS
5
TITLE: Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes
AUTHORS: Henriques, Guilherme; Abbasi, Maryam; Martins, Daniel; Arrais, Joel P.;
PUBLISHED: 2025, SOURCE: JOURNAL OF INTEGRATIVE BIOINFORMATICS, VOLUME: 22, ISSUE: 2
AUTHORS: Henriques, Guilherme; Abbasi, Maryam; Martins, Daniel; Arrais, Joel P.;
PUBLISHED: 2025, SOURCE: JOURNAL OF INTEGRATIVE BIOINFORMATICS, VOLUME: 22, ISSUE: 2
6
TITLE: Deep learning for small-molecule drug discovery: From molecular design to clinical translation
AUTHORS: Rita I Oliveira; Tiago O Pereira; Maryam Abbasi; Jorge A.R Salvador; Joel P Arrais;
PUBLISHED: 2025, SOURCE: Journal of Pharmaceutical Analysis
AUTHORS: Rita I Oliveira; Tiago O Pereira; Maryam Abbasi; Jorge A.R Salvador; Joel P Arrais;
PUBLISHED: 2025, SOURCE: Journal of Pharmaceutical Analysis
7
TITLE: TAG-DTA: Binding-region-guided strategy to predict drug-target affinity using transformers Full Text
AUTHORS: Monteiro, Nelson R. C.; Oliveira, Jose L.; Arrais, Joel P.;
PUBLISHED: 2024, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 238, ISSUE: Part F
AUTHORS: Monteiro, Nelson R. C.; Oliveira, Jose L.; Arrais, Joel P.;
PUBLISHED: 2024, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 238, ISSUE: Part F
8
TITLE: Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction
AUTHORS: Martins, Daniel; Abbasi, Maryam; Egas, Conceicao; Arrais, Joel P.;
PUBLISHED: 2024, SOURCE: JOURNAL OF INTEGRATIVE BIOINFORMATICS, VOLUME: 21, ISSUE: 2
AUTHORS: Martins, Daniel; Abbasi, Maryam; Egas, Conceicao; Arrais, Joel P.;
PUBLISHED: 2024, SOURCE: JOURNAL OF INTEGRATIVE BIOINFORMATICS, VOLUME: 21, ISSUE: 2
INDEXED IN: 
Scopus 
WOS
Scopus WOS9
TITLE: Enhancing schizophrenia phenotype prediction from genotype data through knowledge-driven deep neural network models Full Text
AUTHORS: Martins, Daniel; Abbasi, Maryam; Egas, Conceicao; Arrais, Joel P.;
PUBLISHED: 2024, SOURCE: GENOMICS, VOLUME: 116, ISSUE: 5
AUTHORS: Martins, Daniel; Abbasi, Maryam; Egas, Conceicao; Arrais, Joel P.;
PUBLISHED: 2024, SOURCE: GENOMICS, VOLUME: 116, ISSUE: 5
INDEXED IN: Scopus WOS
Scopus WOS10
TITLE: Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction Full Text
AUTHORS: Torres, Luis; Arrais, Joel P.; Bernardete Ribeiro ;
PUBLISHED: 2023, SOURCE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 35, ISSUE: 18
AUTHORS: Torres, Luis; Arrais, Joel P.; Bernardete Ribeiro ;
PUBLISHED: 2023, SOURCE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 35, ISSUE: 18
