2021
TITAN: T-cell receptor specificity prediction with bimodal attention networks
Weber A, Born J, Martínez M. TITAN: T-cell receptor specificity prediction with bimodal attention networks. Bioinformatics 2021, 37: i237-i244. PMID: 34252922, PMCID: PMC8275323, DOI: 10.1093/bioinformatics/btab294.Peer-Reviewed Original ResearchConceptsK-nearest neighborAttention networkLeverage transfer learningState-of-the-artK-nearest-neighbor (KNN) classifierInput data spaceK-NN classifierBimodal neural networkSMILES sequencesTransfer learningData augmentationAttention heatmapsCompetitive performanceNeural networkData spaceT cell receptorBoost performanceT-cell receptor sequencingClassifierNetworkImproved performanceT cellsPrediction of specificityPerformanceSequencing of T-cell receptor
2020
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-Rate Variability (HRV) Data
Oskooei A, Chau S, Weiss J, Sridhar A, Martínez M, Michel B. DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-Rate Variability (HRV) Data. Studies In Computational Intelligence 2020, 914: 93-105. DOI: 10.1007/978-3-030-53352-6_9.Peer-Reviewed Original ResearchConvolutional autoencoderK-nearest neighbor classificationTraditional K-means clusteringFrequency domain featuresK-nearest neighborK-means clusteringShort-term memoryLSTM autoencoderUnsupervised methodDeep learningDomain featuresAutoencoderDBSCAN clusteringK-meansInterval time series dataUnsupervised identificationStress detectionData pointsTime series dataEngineering featuresNormal clusterLSTMSize of clusters