Joel P. Arrais

51 papers B 4C 2Misc 5Journal 28Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
A Novel Deep Learning Framework for Predicting Antimicrobial Peptide Activity Using ProtBert and Neural Networks.
IbPRIA (2)
Maryam Abbasi, Verónica Vasconcelos, Edgar M. C. O. S. Vicente, Ana L. M. Santos, Joel P. Arrais
2025 J jnl
ABIET: An explainable transformer for identifying functional groups in biological active molecules.
Comput. Biol. Medicine
Tiago O. Pereira, Maryam Abbasi, Joel P. Arrais
2025 — conf
Convolutional Spiking Neural Networks with Molecular Fingerprints for Drug Discovery.
EPIA (1)
Dinu Bosîi, Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro
2025 J jnl
Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes.
J. Integr. Bioinform.
Guilherme Henriques, Maryam Abbasi, Daniel Martins, Joel P. Arrais
2025 J jnl
Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery.
Pattern Recognit.
Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro
2025 — conf
xLSTM-AmPEP60: An xLSTM Model for the Minimum Inhibitory Concentrations Prediction of Antimicrobial Peptides.
BIBM
Jianxiu Cai, Xinpo Lou, Jielu Yan, Joel P. Arrais, Yapeng Wang, Shirley W. I. Siu
2024 J jnl
A Hybrid GNN Approach for Improved Molecular Property Prediction.
J. Comput. Biol.
Pedro Quesado, Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais
2024 J jnl
Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction.
J. Cheminformatics
Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro
2024 J jnl
Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction.
J. Integr. Bioinform.
Daniel Martins, Maryam Abbasi, Conceição Egas, Joel P. Arrais
2024 J jnl
Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction.
Appl. Soft Comput.
Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais
2024 J jnl
Predicting drug activity against cancer through genomic profiles and SMILES.
Artif. Intell. Medicine
Maryam Abbasi, Filipa G. Carvalho, Bernardete Ribeiro, Joel P. Arrais
2024 J jnl
TAG-DTA: Binding-region-guided strategy to predict drug-target affinity using transformers.
Expert Syst. Appl.
Nelson R. C. Monteiro, José Luís Oliveira, Joel P. Arrais
2023 J jnl
Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information.
J. Comput. Aided Mol. Des.
Tiago O. Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais
2023 J jnl
Enhancing reinforcement learning for
Briefings Bioinform.
Tiago O. Pereira, Maryam Abbasi, Joel P. Arrais
2023 J jnl
FSM-DDTR: End-to-end feedback strategy for multi-objective
Comput. Biol. Medicine
Nelson R. C. Monteiro, Tiago Pereira, Ana Catarina D. Machado, José Luís Oliveira, Maryam Abbasi, Joel P. Arrais
2023 J jnl
Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction.
Neural Comput. Appl.
Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro
2023 J jnl
Few-shot learning with transformers via graph embeddings for molecular property prediction.
Expert Syst. Appl.
Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais
2023 Misc conf
On the Quantization of Recurrent Neural Networks for Smiles Generation.
ICASSP
Adriano Durao, Joel P. Arrais, Bernardete Ribeiro, Gabriel Falcao
2023 Misc conf
The Impact of Schizophrenia Misdiagnosis Rates on Machine Learning Models Performance.
PACBB
Daniel Martins, Conceição Egas, Joel P. Arrais
2022 J jnl
Correction to: Designing optimized drug candidates with Generative Adversarial Network.
J. Cheminformatics
Maryam Abbasi, Beatriz P. Santos, Tiago C. Pereira, Raul Sofa, Nelson R. C. Monteiro, Carlos J. V. Simões, Rui M. M. Brito, Bernardete Ribeiro, José Luís Oliveira, Joel P. Arrais
2022 J jnl
DTITR: End-to-end drug-target binding affinity prediction with transformers.
Comput. Biol. Medicine
Nelson R. C. Monteiro, José Luís Oliveira, Joel P. Arrais
2022 B conf
Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures.
CBMS
Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
2022 J jnl
Deep generative model for therapeutic targets using transcriptomic disease-associated data - USP7 case study.
Briefings Bioinform.
Tiago Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais
2022 J jnl
Designing optimized drug candidates with Generative Adversarial Network.
J. Cheminformatics
Maryam Abbasi, Beatriz P. Santos, Tiago C. Pereira, Raul Sofia, Nelson R. C. Monteiro, Carlos J. V. Simões, Rui M. M. Brito, Bernardete Ribeiro, José Luís Oliveira, Joel P. Arrais
2022 J jnl
Explainable deep drug-target representations for binding affinity prediction.
BMC Bioinform.
Nelson R. C. Monteiro, Carlos J. V. Simões, Henrique V. Ávila, Maryam Abbasi, José Luís Oliveira, Joel P. Arrais
2022 J jnl
Force-Directed Timelines: Visualizing & Exploring Temporal Patterns.
Big Data Res.
António Cruz, Joel P. Arrais, Penousal Machado
2022 J jnl
Multivariate Data Exploration Through Coordinated Views.
IEEE Access
António Cruz, Joel P. Arrais, Penousal Machado
2021 B conf
Analysing Games for Health through Users' Opinion Mining.
CBMS
Renato Santos, Joel P. Arrais, Paula Alexandra Silva
2021 Misc conf
Computational Methods for the Identification of Genetic Variants in Complex Diseases.
PACBB
Débora Antunes, Daniel Martins, Fernanda Correia, Miguel Rocha, Joel P. Arrais
2021 J jnl
Diversity oriented Deep Reinforcement Learning for targeted molecule generation.
J. Cheminformatics
Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
2021 J jnl
Drug-Target Interaction Prediction: End-to-End Deep Learning Approach.
IEEE ACM Trans. Comput. Biol. Bioinform.
Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais
2021 B conf
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design.
CBMS
Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais
2020 J jnl
CroP - Coordinated Panel visualization for biological networks analysis.
Bioinform.
António Cruz, Penousal Machado, Joel P. Arrais
2020 — conf
End-to-end Deep Reinforcement Learning for Targeted Drug Generation.
ICCBB
Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
2020 C conf
Exploring Time-Series Through Force-Directed Timelines.
IV
António Cruz, Joel P. Arrais, Penousal Machado
2020 J jnl
NanoSen-AQM: From Sensors to Users.
Int. J. Online Biomed. Eng.
Pedro Lucas, Jorge Sá Silva, Filipe Araújo, Catarina Silva, Paulo Gil, Joel P. Arrais, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira, Alberto Cardoso, Bernardete Ribeiro
2020 — conf
Using a Novel Unbiased Dataset and Deep Learning Architectures to Predict Protein-Protein Interactions.
BIBM
Luís Silva, Carlos Pereira, Joel P. Arrais
2019 — conf
Deep Neural Network Architecture for Drug-Target Interaction Prediction.
ICANN (Workshop)
Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais
2019 J jnl
Interactive and coordinated visualization approaches for biological data analysis.
Briefings Bioinform.
António Cruz, Joel P. Arrais, Penousal Machado
2018 — conf
Fighting Fire with Fire: Computational Prediction of Microbial Targets for Bacteriocins.
IWBBIO (1)
Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira
2018 C conf
Interactive Network Visualization of Gene Expression Time-Series Data.
IV
António Cruz, Joel P. Arrais, Penousal Machado
2017 — conf
Mixed-Integer Programming Model for Profiling Disease Biomarkers from Gene Expression Studies.
IWBBIO (2)
André M. Santiago, Miguel Rocha, António Dourado, Joel P. Arrais
2017 — conf
On the role of aesthetics in genetic algorithms applied to graph drawing.
GECCO (Companion)
Evgheni Polisciuc, António Cruz, Penousal Machado, Joel P. Arrais
2016 J jnl
Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction.
PLoS Comput. Biol.
Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira
2016 B conf
Ensemble-Based Methodology for the Prediction of Drug-Target Interactions.
CBMS
Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira
2016 — conf
Prediction of Cancer using Network Topological Features.
BIOINFORMATICS
Fernanda Brito Correia, Joel P. Arrais, José Luís Oliveira
2015 J jnl
Computational methodology for predicting the landscape of the human-microbial interactome region level influence.
J. Bioinform. Comput. Biol.
Edgar D. Coelho, André M. Santiago, Joel P. Arrais, José Luís Oliveira
2015 — conf
Uncovering microbial duality within human microbiomes: A novel algorithm for the analysis of host-pathogen interactions.
EMBC
Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira
2014 Misc conf
Metagenomic Analysis of the Saliva Microbiome with Merlin.
PACBB
Pedro Barbosa, Oscar Dias, Joel P. Arrais, Miguel Rocha
2013 Misc conf
Quantitative Characterization of Protein Networks of the Oral Cavity.
PACBB
Fernanda Correia Barbosa, Joel P. Arrais, José Luís Oliveira
2012 — conf
Data Integration Solution for Organ-Specific Studies: An Application for Oral Biology.
BIOSTEC (Selected Papers)
José Melo, Joel P. Arrais, Edgar D. Coelho, Pedro Lopes, Nuno Rosa, Maria José Correia, Marlene Barros, José Luís Oliveira