| A framework for feature selection through boosting A Alsahaf, N Petkov, V Shenoy, G Azzopardi Expert Systems with Applications 187, 115895, 2022 | 135 | 2022 |
| Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey A Aswath, A Alsahaf, BNG Giepmans, G Azzopardi Medical image analysis 89, 102920, 2023 | 42 | 2023 |
| Estimation of muscle scores of live pigs using a kinect camera A Alsahaf, G Azzopardi, B Ducro, E Hanenberg, RF Veerkamp, N Petkov IEEE Access 7, 52238-52245, 2019 | 29 | 2019 |
| Prediction of slaughter age in pigs and assessment of the predictive value of phenotypic and genetic information using random forest A Alsahaf, G Azzopardi, B Ducro, E Hanenberg, RF Veerkamp, N Petkov Journal of animal science 96 (12), 4935-4943, 2018 | 20 | 2018 |
| Predicting slaughter weight in pigs with regression tree ensembles A Alsahaf, G Azzopardi, B Ducro, RF Veerkamp, N Petkov Applications of Intelligent Systems, 1-9, 2018 | 14 | 2018 |
| Assigning pigs to uniform target weight groups using machine learning: ProceedingsoftheWorldCongressonGeneticsAppliedtoLivestockProduction, 11.112 A Alsahaf, B Ducro, R Veerkamp, G Azzopardi, N Petkov World Congress on Genetics Applied to Livestock Production, 2018 | 2 | 2018 |
| COFI-Coarse-semantic to fine-instance unsupervised mitochondria segmentation in EM A Aswath, A Alsahaf, BD Westenbrink, BNG Giepmans, G Azzopardi International Conference on Computer Analysis of Images and Patterns, 87-97, 2023 | 1 | 2023 |
| Pre-insemination prediction of dystocia in dairy cattle A Alsahaf, R Gheorghe, AM Hidalgo, N Petkov, G Azzopardi Preventive Veterinary Medicine 210, 105812, 2023 | 1 | 2023 |
| Estimation of live muscle scores of pigs with RGB-D images and machine learning A Alsahaf, G Azzopardi, N Petkov Scientific Symposium FAIR Data Sciences for Green Life Sciences, 1-1, 2018 | 1 | 2018 |
| Automated analysis of ultrastructure through large-scale hyperspectral electron microscopy BH Duinkerken, AMJ Alsahaf, JP Hoogenboom, BNG Giepmans npj Imaging 2 (1), 1-9, 2024 | | 2024 |
| Interactive Segmentation of Biostructures Through Hyperspectral Electron Microscopy A Aswath, BHP Duinkerken, BNG Giepmans, G Azzopardi, AMJ Alsahaf 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2024 | | 2024 |
| Spectral Unmixing of Ultrastructure in Large-scale Electron Microscopy AMJ Alsahaf, BH Peter Duinkerken, JP Hoogenboom, BNG Giepmans Microscopy and Microanalysis 30 (Supplement_1), ozae044. 489, 2024 | | 2024 |
| fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms JGS Overschie, A Alsahaf, G Azzopardi Journal of Open Source Software 7 (79), 4611, 2022 | | 2022 |
| Feature selection and intelligent livestock management A Alsahaf | | 2020 |
| Predicting slaughter age in pigs using random forest regression A Alsahaf, G Azzopardi, B Ducro, R Veerkamp, N Petkov Applications of Intelligent Systems 2018, 2018 | | 2018 |
| Yielding physically-interpretable emulators-A Sparse PCA approach S Galelli, A Alsahaf, M Giuliani, A Castelletti AGU Fall Meeting Abstracts 2015, H52B-03, 2015 | | 2015 |
| Model reduction of process-based hydro-ecological models: a comparison between projection-and selection-based methods A Alsahaf, M Giuliani, S Galelli, A Castelletti EGU General Assembly Conference Abstracts, 5210, 2015 | | 2015 |
| Projection vs. selection-based model reduction for emulation modeling in water resources planning and management problems A Alsahaf Italy, 2014 | | 2014 |
| Projection-vs. selection-based model reduction of complex hydro-ecological models S Galelli, M Giuliani, A Castelletti, A Alsahaf AGU Fall Meeting Abstracts 2014, H31J-0759, 2014 | | 2014 |
George AzzopardiAssociate Professor, Computer Science, Bernoulli Institute, University of Groningenยืนยันอีเมลแล้วที่ rug.nl