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ORCIDJoel Arrais
Joel P. Arrais – Joel Perdiz Arrais
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2020 – today
- 2024
[j32]Maryam Abbasi
, Filipa G. Carvalho, Bernardete Ribeiro, Joel P. Arrais:
Predicting drug activity against cancer through genomic profiles and SMILES. Artif. Intell. Medicine 150: 102820 (2024)- [j31]Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais:
Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction. Appl. Soft Comput. 153: 111268 (2024) - [j30]Nelson R. C. Monteiro, José Luís Oliveira, Joel P. Arrais:
TAG-DTA: Binding-region-guided strategy to predict drug-target affinity using transformers. Expert Syst. Appl. 238(Part F): 122334 (2024) - [j29]Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro:
Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction. J. Cheminformatics 16(1): 109 (2024) - [j28]Daniel Martins, Maryam Abbasi, Conceição Egas, Joel P. Arrais:
Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction. J. Integr. Bioinform. 21(2) (2024) - [j27]Fabiano Papaiz, Mario Emílio Teixeira Dourado, Ricardo Alexsandro de Medeiros Valentim, Rafael Pinto, Antonio Higor Freire de Morais, Joel Perdiz Arrais:
Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis. BMC Medical Informatics Decis. Mak. 24(1): 80 (2024) - 2023
- [j26]Nelson R. C. Monteiro, Tiago Pereira, Ana Catarina D. Machado, José Luís Oliveira, Maryam Abbasi, Joel P. Arrais:
FSM-DDTR: End-to-end feedback strategy for multi-objective De Novo drug design using transformers. Comput. Biol. Medicine 164: 107285 (2023) - [j25]Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais:
Few-shot learning with transformers via graph embeddings for molecular property prediction. Expert Syst. Appl. 225: 120005 (2023) - [j24]Tiago O. Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais:
Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information. J. Comput. Aided Mol. Des. 37(12): 791-806 (2023) - [j23]Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro:
Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction. Neural Comput. Appl. 35(18): 13167-13185 (2023) - [c40]Luis H. M. Torres, Bernardete Ribeiro, Joel Arrais:
Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. ESANN 2023 - [c39]Adriano Durao, Joel P. Arrais, Bernardete Ribeiro, Gabriel Falcao:
On the Quantization of Recurrent Neural Networks for Smiles Generation. ICASSP 2023: 1-5 - [c38]Daniel Martins, Conceição Egas, Joel P. Arrais:
The Impact of Schizophrenia Misdiagnosis Rates on Machine Learning Models Performance. PACBB 2023: 3-13 - 2022
- [j22]António Cruz, Joel P. Arrais, Penousal Machado:
Multivariate Data Exploration Through Coordinated Views. IEEE Access 10: 78788-78817 (2022) - [j21]António Cruz, Joel P. Arrais, Penousal Machado:
Force-Directed Timelines: Visualizing & Exploring Temporal Patterns. Big Data Res. 27: 100291 (2022) - [j20]Tiago Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais:
Deep generative model for therapeutic targets using transcriptomic disease-associated data - USP7 case study. Briefings Bioinform. 23(4) (2022) - [j19]Nelson R. C. Monteiro, Carlos J. V. Simões, Henrique V. Ávila, Maryam Abbasi, José Luís Oliveira, Joel P. Arrais:
Explainable deep drug-target representations for binding affinity prediction. BMC Bioinform. 23(1): 237 (2022) - [j18]Nelson R. C. Monteiro, José Luís Oliveira, Joel P. Arrais:
DTITR: End-to-end drug-target binding affinity prediction with transformers. Comput. Biol. Medicine 147: 105772 (2022) - [j17]Fabiano Papaiz, Mario Emílio Teixeira Dourado, Ricardo Alexsandro de Medeiros Valentim, Antonio Higor Freire de Morais, Joel Perdiz Arrais:
Machine Learning Solutions Applied to Amyotrophic Lateral Sclerosis Prognosis: A Review. Frontiers Comput. Sci. 4: 869140 (2022) - [j16]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:
Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 14(1): 40 (2022) - [j15]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:
Correction to: Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 14(1): 53 (2022) - [c37]Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. CBMS 2022: 1-6 - 2021
- [j14]Tiago Pereira, Maryam Abbasi, José Luís Oliveira, Bernardete Ribeiro, Joel Arrais:
Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design. Bioinform. 37(Supplement): 84-92 (2021) - [j13]Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
Diversity oriented Deep Reinforcement Learning for targeted molecule generation. J. Cheminformatics 13(1): 21 (2021) - [j12]Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais:
Drug-Target Interaction Prediction: End-to-End Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2364-2374 (2021) - [c36]Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais:
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. CBMS 2021: 172-177 - [c35]Renato Santos, Joel P. Arrais, Paula Alexandra Silva:
Analysing Games for Health through Users' Opinion Mining. CBMS 2021: 319-323 - [c34]Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais:
Multiobjective Reinforcement Learning in Optimized Drug Design. ESANN 2021 - [c33]Miguel Fernandes, Catarina Silva, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro:
Decay Momentum for Improving Federated Learning. ESANN 2021 - [c32]Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais:
Improvement on Generative Adversarial Network for Targeted Drug Design. ESANN 2021 - [c31]Débora Antunes, Daniel Martins, Fernanda Correia, Miguel Rocha, Joel P. Arrais:
Computational Methods for the Identification of Genetic Variants in Complex Diseases. PACBB 2021: 1-10 - 2020
- [j11]António Cruz, Penousal Machado, Joel P. Arrais:
CroP - Coordinated Panel visualization for biological networks analysis. Bioinform. 36(4): 1298-1299 (2020) - [j10]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:
NanoSen-AQM: From Sensors to Users. Int. J. Online Biomed. Eng. 16(4): 51-62 (2020) - [c30]Luis H. M. Torres, Nelson R. C. Monteiro, José Luís Oliveira, Joel Arrais, Bernardete Ribeiro:
Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery. BIBE 2020: 168-175 - [c29]Luís Silva, Carlos Pereira, Joel P. Arrais:
Using a Novel Unbiased Dataset and Deep Learning Architectures to Predict Protein-Protein Interactions. BIBM 2020: 213-216 - [c28]Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
End-to-end Deep Reinforcement Learning for Targeted Drug Generation. ICCBB 2020: 7-13 - [c27]António Cruz, Joel P. Arrais, Penousal Machado:
Exploring Time-Series Through Force-Directed Timelines. IV 2020: 328-335
2010 – 2019
- 2019
- [j9]António Cruz, Joel P. Arrais, Penousal Machado:
Interactive and coordinated visualization approaches for biological data analysis. Briefings Bioinform. 20(4): 1513-1523 (2019) - [c26]Jorge Sá Silva, Pedro Lucas, Filipe Araújo, Catarina Silva, Paulo Gil, Alberto Cardoso, Joel Arrais, Bernardete Ribeiro, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira:
A Hybrid Application for Real-Time Air Quality Monitoring. exp.at 2019: 270-271 - [c25]Jorge Sá Silva, Pedro Lucas, Filipe Araújo, Catarina Silva, Paulo Gil, Alberto Cardoso, Joel Arrais, Bernardete Ribeiro, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira:
An Online Platform For Real-Time Air Quality Monitoring. exp.at 2019: 320-325 - [c24]Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais:
Deep Neural Network Architecture for Drug-Target Interaction Prediction. ICANN (Workshop) 2019: 804-809 - 2018
- [c23]António Cruz, Joel P. Arrais, Penousal Machado:
Interactive Network Visualization of Gene Expression Time-Series Data. IV 2018: 574-580 - [c22]Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira:
Fighting Fire with Fire: Computational Prediction of Microbial Targets for Bacteriocins. IWBBIO (1) 2018: 221-234 - 2017
- [c21]Evgheni Polisciuc, António Cruz, Penousal Machado, Joel P. Arrais:
On the role of aesthetics in genetic algorithms applied to graph drawing. GECCO (Companion) 2017: 1713-1720 - [c20]André M. Santiago, Miguel Rocha, António Dourado, Joel P. Arrais:
Mixed-Integer Programming Model for Profiling Disease Biomarkers from Gene Expression Studies. IWBBIO (2) 2017: 50-61 - 2016
- [j8]Siddhartha Jain, Joel Arrais, Narasimhan J. Venkatachari, Velpandi Ayyavoo, Ziv Bar-Joseph:
Reconstructing the temporal progression of HIV-1 immune response pathways. Bioinform. 32(12): 253-261 (2016) - [j7]Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira:
Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction. PLoS Comput. Biol. 12(11) (2016) - [c19]Fernanda Brito Correia, Joel P. Arrais, José Luís Oliveira:
Prediction of Cancer using Network Topological Features. BIOINFORMATICS 2016: 207-215 - [c18]Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira:
Ensemble-Based Methodology for the Prediction of Drug-Target Interactions. CBMS 2016: 36-41 - 2015
- [j6]Edgar D. Coelho, André M. Santiago, Joel P. Arrais, José Luís Oliveira:
Computational methodology for predicting the landscape of the human-microbial interactome region level influence. J. Bioinform. Comput. Biol. 13(5): 1550023:1-1550023:18 (2015) - [c17]Edgar D. Coelho, Joel P. Arrais, José Luís Oliveira:
Uncovering microbial duality within human microbiomes: A novel algorithm for the analysis of host-pathogen interactions. EMBC 2015: 3254-3257 - 2014
- [j5]Miguel Reboiro-Jato, Joel Arrais, José Luís Oliveira, Florentino Fdez-Riverola:
geneCommittee: a web-based tool for extensively testing the discriminatory power of biologically relevant gene sets in microarray data classification. BMC Bioinform. 15: 31 (2014) - [j4]Edgar D. Coelho, Joel Arrais, Sérgio Matos, Carlos Pereira, Nuno Rosa, Maria José Correia, Marlene Barros, José Luís Oliveira:
Computational prediction of the human-microbial oral interactome. BMC Syst. Biol. 8: 24 (2014) - [c16]Pedro Barbosa, Oscar Días, Joel P. Arrais, Miguel Rocha:
Metagenomic Analysis of the Saliva Microbiome with Merlin. PACBB 2014: 191-199 - 2013
- [c15]Edgar D. Coelho, Joel Arrais, Sérgio Matos, Nuno Rosa, Maria José Correia, Marlene Barros, José Luís Oliveira:
Computational Approach to Predict Inter-Species Oral Protein-Protein Interactions. IWBBIO 2013: 193-194 - [c14]Andre Vechina, Joel Arrais, José Luís Oliveira:
Representation of Semantic Networks of Biomedical Terms. IWBBIO 2013: 703-710 - [c13]Fernanda Correia Barbosa, Joel P. Arrais, José Luís Oliveira:
Quantitative Characterization of Protein Networks of the Oral Cavity. PACBB 2013: 61-68 - 2012
- [c12]José Melo, Joel Arrais, Pedro Lopes, Nuno Rosa, Maria José Correia, Marlene Barros, José Luís Oliveira:
Web Information System for the Study of Oral Health. HEALTHINF 2012: 97-105 - [c11]José Melo, Joel P. Arrais, Edgar D. Coelho, Pedro Lopes, Nuno Rosa, Maria José Correia, Marlene Barros, José Luís Oliveira:
Data Integration Solution for Organ-Specific Studies: An Application for Oral Biology. BIOSTEC (Selected Papers) 2012: 401-412 - 2011
- [c10]Joel Arrais, Pedro Lopes, José Luís Oliveira:
Challenges Storing and Representing Biomedical Data. USAB 2011: 53-62 - 2010
- [j3]Sérgio Matos, Joel Arrais, João Maia-Rodrigues, José Luís Oliveira:
Concept-based query expansion for retrieving gene related publications from MEDLINE. BMC Bioinform. 11: 212 (2010) - [j2]Joel Arrais, João Fernandes, João E. Pereira, José Luís Oliveira:
GeneBrowser 2: an application to explore and identify common biological traits in a set of genes. BMC Bioinform. 11: 389 (2010) - [c9]Sérgio Matos, Joel Arrais, José Luís Oliveira:
Expanding Gene-Based PubMed Queries. IWPACBB 2010: 61-68 - [c8]Joel Arrais, João E. Pereira, Pedro Lopes, Sérgio Matos, José Luís Oliveira:
Improving Cross Mapping in Biomedical Databases. IWPACBB 2010: 69-76
2000 – 2009
- 2009
- [c7]Pedro Lopes, Joel Arrais, José Luís Oliveira:
Link Integrator - A Link-based Data Integration Architecture. KDIR 2009: 274-277 - [c6]Pedro Lopes, Joel Arrais, José Luís Oliveira:
DynamicFlow: A Client-Side Workflow Management System. IWANN (2) 2009: 1101-1108 - 2008
- [c5]Joel Arrais, Laura Carreto, Manuel A. S. Santos, José Luís Oliveira:
A Microarray Information Database. BIOTECHNO 2008: 170-175 - [c4]Pedro Lopes, Joel Arrais, José Luís Oliveira:
Dynamic service integration using web-based workflows. iiWAS 2008: 622-625 - [c3]Joel Arrais, João G. L. M. Rodrigues, José Luís Oliveira:
Improving Literature Searches in Gene Expression Studies. IWPACBB 2008: 74-82 - 2007
- [j1]Joel Arrais, Bruno Santos, João Fernandes, Laura Carreto, Manuel A. S. Santos, José Luís Oliveira:
GeneBrowser: an approach for integration and functional classification of genomics data. J. Integr. Bioinform. 4(3) (2007) - 2006
- [c2]Daniel Ferreira Polónia, Joel Arrais, José Luís Oliveira:
A Prospective Study on the Integration of Microarray Data in HIS/EPR. ISBMDA 2006: 231-239 - 2004
- [c1]Valery Sklyarov, Iouliia Skliarova, Bruno Figueiredo Pimentel, Joel Arrais:
Hardware/Software Implementation of FPGA-Targeted Matrix-Oriented SAT Solvers. FPL 2004: 922-926
Coauthor Index
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last updated on 2024-10-08 21:27 CEST by the dblp team
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