Diego Saldana Miranda

发表

Automated Detection of Adverse Drug Reactions in the Biomedical Literature Using Convolutional Neural Networks and Biomedical Word Embeddings

Diego Saldana Miranda, 2018, SwissText.

Genomic testing among patients with newly diagnosed advanced non-small cell lung cancer in the United States: A contemporary clinical practice patterns study.

Diego Saldana Miranda, L. Bubendorf, L. Paz-Ares, 2022, Lung cancer.

A Brief Introduction to the Temporal Group LASSO and its Potential Applications in Healthcare

Diego Saldana Miranda, 2017, 1704.02370.

Prediction of Flash Points for Fuel Mixtures Using Machine Learning and a Novel Equation

Diego Saldana Miranda, B. Creton, L. Starck, 2013 .

Erratum to: Rational Formulation of Alternative Fuels using QSPR Methods: Application to Jet Fuels

Diego Saldana Miranda, B. Creton, L. Starck, 2013 .

Prediction of Density and Viscosity of Biofuel Compounds Using Machine Learning Methods

Pascal Mougin, Bernard Rousseau, Laurie Starck, 2012 .

Flash Point and Cetane Number Predictions for Fuel Compounds Using Quantitative Structure Property Relationship (QSPR) Methods

Ludivine Pidol, Nicolas Jeuland, Pascal Mougin, 2011 .

Predicting Chronic Spontaneous Urticaria Symptom Return After Omalizumab Treatment Discontinuation: Exploratory Analysis.

Diego Saldana Miranda, V. Risson, M. Ferrer, 2018, The journal of allergy and clinical immunology. In practice.

Graph Machine Based-QSAR Approach for Modeling Thermodynamic Properties of Amines: Application to CO2 Capture in Postcombustion

Diego Saldana Miranda, Fabien Porcheron, Marc Jacquin, 2013 .

On the rational formulation of alternative fuels: melting point and net heat of combustion predictions for fuel compounds using machine learning methods

Diego Saldana Miranda, B. Creton, L. Starck, 2013, SAR and QSAR in environmental research.

Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models pdf

Igor Kulev, Berkay Köprü, Elif Ozkirimli, 2021, ArXiv.