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Impedimetric biofilm characterization with microelectrode arrays using equivalent electrical circuit features and ensemble classifiers
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- Journal Article
- A1
- open access
Modelling fish co-occurrence patterns in a small spring-fed river using a machine learning approach
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Variation of the Omo Delta between 1990 and 2018: What remote sensing data reveal and models explain
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Removal of external influences from on-line vis-NIR spectra for predicting soil organic carbon using machine learning
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Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China
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Small-scale irrigation expansion along the dam-regulated Tekeze River in Northern Ethiopia
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Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran
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A hospital wide predictive model for unplanned readmission using hierarchical ICD data
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A hybrid random forest to predict soccer matches in international tournaments
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On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning
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Application of visible and near-infrared spectroscopy for evaluation of ewes milk with different feeds
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Can spectral analyses improve measurement of key soil fertility parameters with X-ray fluorescence spectrometry?
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Inferring user tasks in pedestrian navigation from eye movement data in real-world environments
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Evolutionary algorithms for species distribution modelling : a review in the context of machine learning
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Machine learning based brain tumour segmentation on limited data using local texture and abnormality
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Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery
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- Journal Article
- A1
- open access
A machine learning based framework to identify and classify long terminal repeat retrotransposons
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Downstream migration of European eel (Anguilla anguilla L.) in an anthropogenically regulated freshwater system : implications for management
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Rapid prediction of total petroleum hydrocarbons concentration in contaminated soil using vis-NIR spectroscopy and regression techniques
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The added value of social media data in B2B customer acquisition systems : a real-life experiment
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Novel approaches to assess the quality of fertility data stored in dairy herd management software
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- Journal Article
- A1
- open access
Comparison between random forests, artificial neural networks and gradient boosted machines methods of on-line vis-NIR spectroscopy measurements of soil total nitrogen and total carbon
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- Journal Article
- A1
- open access
Identifying soccer players on Facebook through predictive analytics
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- Journal Article
- A1
- open access
A non-linear Granger-causality framework to investigate climate-vegetation dynamics
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Comparing the efficiency of digital and conventional soil mapping to predict soil types in a semi-arid region in Iran
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- Conference Paper
- C1
- open access
Human gesture classification by brute-force machine learning for exergaming in physiotherapy
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Associations of socioeconomic status with transport-related physical activity : combining a household travel survey and accelerometer data using random forests
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Data prevalence matters when assessing species' responses using data-driven species distribution models
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The distribution of an invasive fish species is highly affected by the presence of native fish species: evidence based on species distribution modelling
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Social media optimization: identifying an optimal strategy for increasing network size on Facebook
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The added value of Facebook friends data in event attendance prediction
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A comparative study of Artificial Intelligence methods for project duration forecasting
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Automated grade prediction of glioma patients based on magnetic resonance imaging and a random forests approach
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Automated grade prediction of glioma patients based on magnetic resonance imaging and a random forests approach
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- Conference Paper
- C1
- open access
Learning in silico communities to perform flow cytometric identification of synthetic bacterial communities
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Potential of big data in forecasting travel times
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- Journal Article
- A1
- open access
Finding the hotspots within a biodiversity hotspot : fine-scale biological predictions within a submarine canyon using high-resolution acoustic mapping techniques
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CRM in social media: predicting increases in Facebook usage frequency
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Predicting spatio-temporal Culicoides imicola distributions in Spain based on environmental habitat characteristics and species dispersal
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Assessing hydrologic prediction uncertainty resulting from soft land cover classification
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- Journal Article
- A1
- open access
Modelling the spatial distribution of Culicoides imicola : climatic versus remote sensing data
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Kernel factory: an ensemble of kernel machines
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Habitat suitability modelling for mayflies (Ephemeroptera) in Flanders (Belgium)
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Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models
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Random forests as a tool for estimating uncertainty at pixel-level in SAR image classification
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Modeling partial customer churn: on the value of first product-category purchase sequences
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Improving customer retention in financial services using kinship network information
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Impact of reducing polarimetric SAR input on the uncertainty of crop classifications based on the random forests algorithm
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- Journal Article
- A1
- open access
Customer event history for churn prediction: how long is long enough?
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Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences
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Travelling the world of gene-gene interactions
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Synergy of very high resolution optical and radar data for object based olive grove mapping
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Absence reduction in entomological surveillance data to improve niche-based distribution models for Culicoides imicola
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Data augmentation by predicting spending pleasure using commercially available external data
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Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers
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An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
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Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression
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Predicting website audience demographics for web advertising targeting using multi-website clickstream data
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Ensemble classification based on generalized additive models
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A screening methodology based on Random Forests to improve the detection of gene-gene interactions
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Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers
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Handling class imbalance in customer churn prediction
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Uncertainty propagation in vegetation distribution models based on ensemble classifiers
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Applying species distribution modelling for the conservation of the threatened saproxylic stag beetle (Lucanus cervus)
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- PhD Thesis
- open access
Ecohydrology of wetlands : monitoring and modelling interactions between groundwater, soil and vegetation
(2008)