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

Exploring Data Distributions in Machine Learning Models with SOMs - Caroline König; Alfredo Vellido (Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond - Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024, 2024)

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 (Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023 Proceedings, Part I, 2023)

Molecular Dynamics forecasting of transmembrane Regions in GPRCs by Recurrent Neural Networks - Juan Manuel López-Correa; Caroline König; Alfredo Vellido (IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2022, Ioannina, Greece, September 27-30, 2022, 2022)

Long Short-Term Memory to Predict 3D Amino Acids Positions in GPCR Molecular Dynamics - Juan Manuel López-Correa; Caroline König; Alfredo Vellido (Artificial Intelligence Research and Development - Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2022, Sitges, Spain, 19-21 October 2022, 2022)

A Deep Learning-Based Method for Uncovering GPCR Ligand-Induced Conformational States Using Interpretability Techniques - Mario A. Gutierrez-Mondragon; Caroline König; Alfredo Vellido (Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022, Proceedings, Part II, 2022)

Long Short-Term Memory to predict 3D Amino acids Positions in GPCR Molecular Dynamics - Juan Manuel López-Correa; Caroline König; Alfredo Vellido (CoRR, 2022)

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

Analysis of class C G-protein coupled receptors using supervised classification methods - Caroline König (Polytechnic University of Catalonia, Spain, 2018)

Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-Termini - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (Recent Advances in Artificial Intelligence Research and Development - Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Terres de l'Ebre, Spain, October 25-27, 2017, 2017)

Topological Sequence Segments Discriminate Between Class C GPCR Subtypes - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (11th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2017, Porto, Portugal, 21-23 June, 2017, 2017)

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)

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 (2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015, 2015)

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)

Misclassification of class C G-protein-coupled receptors as a label noise problem - Caroline König; Alfredo Vellido Alcacena; René Alquézar Mancho; Jesús Giraldo (22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014, 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 (International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2014, Granada, Spain, April 7-9, 2014, 2014)

Finding Class C GPCR Subtype-Discriminating N-grams through Feature Selection - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (8th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2014, 4-6 June, 2014, Salamanca, Spain, 2014)

SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences - Caroline König; Raúl Cruz-Barbosa; René Alquézar; Alfredo Vellido (New Trends in Image Analysis and Processing - ICIAP 2013 - ICIAP 2013 International Workshops, Naples, Italy, September 9-13, 2013. Proceedings, 2013)