SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences. - Caroline König; Raúl Cruz-Barbosa; René Alquézar; Alfredo Vellido (ICIAP Workshops, 2013)

Misclassification of class C G-protein-coupled receptors as a label noise problem. - Caroline König; Alfredo Vellido Alcacena; René Alquézar Mancho; Jesús Giraldo (ESANN, 2014)

Exploratory Visualization of Misclassified GPCRs from their transformed unaligned sequences using manifold learning techniques. - Martha Ivón Cárdenas; Alfredo Vellido; Caroline König; René Alquézar; Jesús Giraldo (IWBBIO, 2014)

Finding Class C GPCR Subtype-Discriminating N-grams through Feature Selection. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (PACBB, 2014)

Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (J. Integr. Bioinform., 2014)

The extracellular N-terminal domain suffices to discriminate class C G Protein-Coupled Receptor subtypes from n-grams of their sequences. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (IJCNN, 2015)

Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors. - Caroline König; Martha Ivón Cárdenas; Jesús Giraldo; René Alquézar; Alfredo Vellido (BMC Bioinform., 2015)

Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-Termini. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (CCIA, 2017)

Topological Sequence Segments Discriminate Between Class C GPCR Subtypes. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (PACBB, 2017)

Analysis of class C G-protein coupled receptors using supervised classification methods. - Caroline König (2018)

Sensitivity Analysis of Sensors in a Hydraulic Condition Monitoring System Using CNN Models. - Caroline König; Ahmed Mohamed Helmi (Sensors, 2020)

Molecular Dynamics forecasting of transmembrane Regions in GPRCs by Recurrent Neural Networks. - Juan Manuel López-Correa; Caroline König; Alfredo Vellido (BHI, 2022)

Long Short-Term Memory to Predict 3D Amino Acids Positions in GPCR Molecular Dynamics. - Juan Manuel López-Correa; Caroline König; Alfredo Vellido (CCIA, 2022)

A Deep Learning-Based Method for Uncovering GPCR Ligand-Induced Conformational States Using Interpretability Techniques. - Mario A. Gutierrez-Mondragon; Caroline König; Alfredo Vellido (IWBBIO (2), 2022)

Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques. - Mario Alberto Gutiérrez-Mondragón; Caroline König; Alfredo Vellido (IWBBIO (1), 2023)

Group Discovery in a Clinical Database of Patients with Psychosis Who Have Undergone Metacognitive Training. - Caroline König; Wafaa Guendouz; Pedro Copado; Cecilio Angulo; Àngela Nebot; Susana Ochoa; Maria Lamarca; Rabea Fischer; Fabrice Berna; Lucasz Gaweda; Vanessa Acuña; Alfredo Vellido (CIBB, 2024)

Exploring Data Distributions in Machine Learning Models with SOMs. - Caroline König; Alfredo Vellido (WSOM+, 2024)

Understanding predictions of drug profiles using explainable machine learning models. - Caroline König; Alfredo Vellido (BioData Min., 2024)

Improving Diabetic Retinopathy Classification Using Class Imbalance Correction Techniques. - Caroline König; Pedro Copado; Enrique Romero; Javier Zarranz-Ventura; Alfredo Vellido (CBMS, 2025)

Boost-Classifier-Driven Fault Prediction Across Heterogeneous Open-Source Repositories. - Philip König; Sebastian Raubitzek; Alexander Schatten; Dennis Toth; Fabian Obermann; Caroline König; Kevin Mallinger (Big Data Cogn. Comput., 2025)

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix. - Unai Gurbindo; Axel Brando; Jaume Abella 001; Caroline König (CoRR, 2025)