Morteza Pourreza Shahri

发表

Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing

Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, 2018, 2018 IEEE/ACM 3rd International Workshop on Metamorphic Testing (MET).

ProPheno 1.0: An Online Dataset for Accelerating the Complete Characterization of the Human Protein-Phenotype Landscape in Biomedical Literature

Morteza Pourreza Shahri, Indika Kahanda, Indika Kahanda, 2020, ICSC.

DeepPPPred: An Ensemble of BERT, CNN, and RNN for Classifying Co-mentions of Proteins and Phenotypes

Morteza Pourreza Shahri, Indika Kahanda, Katrina Lyon, 2020 .

A look back at the quality of Protein Function Prediction tools in CAFA

Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, 2018, PeerJ Prepr..

Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools

Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, 2019, 2019 IEEE International Conference On Artificial Intelligence Testing (AITest).

PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical Literature

Morteza Pourreza Shahri, Indika Kahanda, Gillian Reynolds, 2019, BCB.

An Ensemble Approach for Automatic Structuring of Radiology Reports

Morteza Pourreza Shahri, Amir Tahmasebi, Henghui Zhu, 2020, ClinicalNLP@EMNLP.

PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical Literature

Morteza Pourreza Shahri, Indika Kahanda, Gillian Reynolds, 2019, bioRxiv.

Quality assurance of bioinformatics software

Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, 2018 .

ProPheno: An online dataset for completely characterizing the human protein-phenotype landscape in biomedical literature

Morteza Pourreza Shahri, Indika Kahanda, 2019, PeerJ Prepr..

DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification

Morteza Pourreza Shahri, Indika Kahanda, Katrina Lyon, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes

Morteza Pourreza Shahri, Indika Kahanda, Indika Kahanda, 2021, BMC Bioinformatics.

ProPheno 1.0: An Online Dataset for Accelerating the Complete Characterization of the Human Protein-Phenotype Landscape in Biomedical Literature

Morteza Pourreza Shahri, Indika Kahanda, Indika Kahanda, 2019, 2020 IEEE 14th International Conference on Semantic Computing (ICSC).

Extracting Co-mention Features from Biomedical Literature for Automated Protein Phenotype Prediction using PHENOstruct

Morteza Pourreza Shahri, Indika Kahanda Gianforte, 2018 .

DeepPPPred: An Ensemble of BERT, CNN, and RNN for Classifying Co-mentions of Proteins and Phenotypes

Morteza Pourreza Shahri, Indika Kahanda, Katrina Lyon, 2020, bioRxiv.