Results

Journal Papers and Book Chapters

1. Camacho, J., Armstrong, M.S., García-Martínez, L., Díaz, C., Gómez-Llorente, C. Single-cell spatial (scs) omics: Recent developments in data analysis. TrAC Trends in Analytical Chemistry, 2025, 183:118109. Open version Published version
2. Armstrong, M.S., Camacho, J. An alignment-agnostic methodology for the analysis of designed separations data. Journal of Chemometrics, 2025, 39(2):e70002. Open version Published version
3. Polushkina-Merchanskaya, O., Armstrong, M.S., Gómez-Llorente, C., Ferrer, P., Fernandez-Gonzalez, S., Perez-Cruz, M., Gómez-Roig, M.D., Camacho, J. Considerations for missing data, outliers and transformations in permutation testing for ANOVA with multivariate responses. Chemometrics and Intelligent Laboratory Systems, 2025, 258:105320. Open version Published version

International Conferences

1. Camacho, J. Group-wise models for data interpretation. Invited Talk. Trends in Chemometrics, Tortosa (Spain), 2025.
2. Camacho, J., Smilde, A.K., Saccenti, E., Westerhuis, J., Bro, R. All Sparse PCA Models Are Wrong, But Some Are Useful. Scandinavian Symposium on Chemometrics, Keflavik (Iceland), 2025.
3. Camacho, J. Data Quality. The Key to Automation. Invited Talk. Joint Lincs / Sorbonne University / Grifin Workshop on AI, Networks & Cybersecurity, Paris (France), 2025.
4. García Sánchez, J., García, L., D'Auria, L., Fernández-Carabantes, J., Benítez Ortúzar, C., Camacho, J. Volcanic eruption forecast using PCA. IGARSS 2025, Brisbane (Australia), 2025.
5. García Sánchez, J., Camacho, J., García, L., Sorochan Armstrong, M. Multivariate exploratory data analysis of spatio-temporal data using data fusion, FFT and component models. Spatial Statistics 2025: At the Dawn of AI, Noordwijk (The Netherlands), 2025.
6. Camacho, J., Madariaga, D., Morales, D. Extending ANOVA Simultaneous Component Analysis (ASCA) for the analysis of massive spatio-temporal data. Spatial Statistics 2025: At the Dawn of AI, Noordwijk (The Netherlands), 2025.

National and Regional Conferences

1. Vallejo-España, D., Villar-Argaiz, M., Camacho, J. Modeling cyclostationarity in time series with ASCA. CITIC-Coffee 2025, Granada, 2025.
2. García-Sánchez, J., Camacho, J., García L., Benítez-Ortúzar, C., D'Auria, L. Forecasting volcanic eruptions using interpretable multivariate analysis. CITIC-Coffee 2025, Granada, 2025.

Deliverables

1. Deliverable 5: Web page Last modification: 13/01/2025

Software

1. Multivariate Exploratory Data Analysis (MEDA) Toolbox for its use in Matlab
2. Inverse Interpolative Non-Uniform Fast Fourier Transform (i-iNFFT)
3. Alignment of chromatography data using FFT-orthogonal Procrustes Analysis
4. GPU accelerated permutation testing for general linear models in Python/PyTorch
5. Minimum Gaussian Separability (MGS) for its use in Matlab

Videos

1. Taller divulgativo: Decisiones espacio-temporales Recording of the science communication workshop "Decisiones espacio-temporales" . Performed the 9th of April 2025 for a group of highschool students