A combined framework of machine learning and extreme value theory for anomaly detection and ranking

A computational framework for combinatorial design of molecules, genes and cells

Advanced impedimetric system characterization for engineering and the life sciences

Algorithms on posets and comparability graphs: enumeration, transitive orientation and stochastic dominance extension.

A new theory of aggregation: From ordered to non-ordered structured data

An integrated prediction system for genomic selection (type 1)

A reasoned and knowledge-driven approach to Alternaria spp. in potatoes

Assessing the biological capacity for marine ecosystem resilience: Acclimation and adaptation in a rapidly changing environment

Automatically generate optimal model structures biosystems through genetic programming and symbolic manipulations

Bioinformatics: from nucleotids to networks (N2N)

Conflict resolution and decision making in the applied biological sciences

Contour lines, companions and zooms: new tools for studying aggregation operators

Digital innovation for man and society

Efficient algorithms for extreme classification

Enhanced spatially explicit modelling of valuable marine organisms by assessing the primary habitability of Cuban waters

Evolutionary pattern recognition in complex biological networks

Food quality through informatics: data-driven solutions for the development of intelligent packaging technologies

High-dimensional Distance Metric Learning for Ordinal Classification

In situ Biofilm

Kernel Mean Embedding as the grand unifying theory for working with distributional data in pharmaceutical applications

Local air quality monitoring strategies with heterogeneous networks of low-cost and high quality mobile sensors

Meso-scale modelling of reaction-diffuse processes using cellular automata

Modelling, analysis and control of microbial populations for sustainable nitrogen removal from wastewater

Monotonicity issues in decision making and voting

Prediction of deoxynivalenol levels in Fusarium spp. in grain with regression-based learning algorithms

Reciprocal preference relations transitivity properties and graph structures as knowledge instruments for complex learning algorithms.

Spatially explicit modeling of fungal growth

Spatially explicit modelling of filtration cakes

Understanding, predicting and controlling community ecosystems by means of machine learning methods

A digital phagogram for personalized phage therapy

Analysing and modelling pedestrian movements at mass events using Bluetooth

A thorough analysis of similarity measures for learning from heterogeneous data sources

Checkpack: Integrated optical sensors in food packaging to simultaneously detect early-spoilage and check package integrity

Control of the rumen for the efficient metabolism of 22: 6n-3: identification of intermediates and relevant microorganisms

Deep reinforcement learning as a control strategy for wastewater treatment plants

Development of IPM tools for the control of aphids and corn cockle in the cereal crop

Fungal susceptibility of bio-based building materials: a multi-scale assessment.

IDEA: Intelligent, Distributed Environmental Assessment

Improving drought monitoring through assimilating multi-source remote sensing observations in hydrologic models

Improving epideiological modelling using satellite derived soil moisture proxies

In a reasoned and knowledge-driven approach of Alternaria spp. in potato

Uncertainty propagation in rainfall-runoff models due to inaccurate model parameters

JPI HDHL ENPADASI