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See detailAutomatic differentiation between Alzheimer’s Disease and Mild Cognitive Impairment combining PET data and psychological scores
Segovia-Román, Fermín ULg; Bastin, Christine ULg; Salmon, Eric ULg et al

in 3rd International Workshop on Pattern Recognition in Neuroimaging (2013)

In recent years, several approaches to develop computer aided diagnosis systems for dementia have been pro- posed. The purpose of this work is to measure the advantages of using not only brain images as ... [more ▼]

In recent years, several approaches to develop computer aided diagnosis systems for dementia have been pro- posed. The purpose of this work is to measure the advantages of using not only brain images as data source for those systems but also some psychological scores. To this aim, we compared the accuracy rates achieved by systems that use psychological scores beside the image data in the classification step and systems that use only the image data. The experiments show that the formers achieve higher accuracy rates regardless of the procedure carried out to analyze the image data. [less ▲]

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See detailAutomatic discovery of ranking formulas for playing with multi-armed bandits
Maes, Francis ULg; Wehenkel, Louis ULg; Ernst, Damien ULg

in Proceedings of the 9th European Workshop on Reinforcement Learning (EWRL 2011) (2011)

We propose an approach for discovering in an automatic way formulas for ranking arms while playing with multi-armed bandits. The approach works by de ning a grammar made of basic elements such as for ... [more ▼]

We propose an approach for discovering in an automatic way formulas for ranking arms while playing with multi-armed bandits. The approach works by de ning a grammar made of basic elements such as for example addition, subtraction, the max operator, the average values of rewards collected by an arm, their standard deviation etc., and by exploiting this grammar to generate and test a large number of formulas. The systematic search for good candidate formulas is carried out by a built-on-purpose optimization algorithm used to navigate inside this large set of candidate formulas towards those that give high performances when using them on some multi-armed bandit problems. We have applied this approach on a set of bandit problems made of Bernoulli, Gaussian and truncated Gaussian distributions and have identi ed a few simple ranking formulas that provide interesting results on every problem of this set. In particular, they clearly outperform several reference policies previously introduced in the literature. We argue that these newly found formulas as well as the procedure for generating them may suggest new directions for studying bandit problems. [less ▲]

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See detailAutomatic external filling for the ion source gas bottle of a Van de Graaff accelerator
Bastin, Thierry ULg; Dehove, C.; Dumont, Paul-Dominique ULg et al

in Nuclear Instruments & Methods in Physics Research. Section B, Beam Interactions with Materials and Atoms (1997), 129

We describe a fully automatic system we developed to fill, from an external gas bottle, the ion sourer terminal gas storage bottle of a 2 MV Van de Graaff accelerator without depressing the 25 bar ... [more ▼]

We describe a fully automatic system we developed to fill, from an external gas bottle, the ion sourer terminal gas storage bottle of a 2 MV Van de Graaff accelerator without depressing the 25 bar insulating gas. The system is based on a programmable automate ordering electropneumatical valves. The only manual operation is the connection of the external gas cylinder. The time needed for a gas change is reduced to typically 15 min (depending on the residual pressure wished for the gas removed from the terminal bottle). To check this system we study the ionic composition of the ion beam delivered by our accelerator after different gas changes. The switching magnet of our accelerator was used to analyse the ionic composition of the accelerated beams in order to verify the degree of elimination of the previous gases in the system. (C) 1997 Elsevier Science B.V. [less ▲]

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See detailAutomatic geometrical optimization by way of numerical flow models
Erpicum, Sébastien ULg; Archambeau, Pierre ULg; Dewals, Benjamin ULg et al

in Proceedings of the 3rd IAHR-International Symposium on Hydraulic Structures (2008)

The potentialities in numerical flow modeling available today allow performing more and more representative and accurate computations of an increasing part of hydraulic engineering practical problems. In ... [more ▼]

The potentialities in numerical flow modeling available today allow performing more and more representative and accurate computations of an increasing part of hydraulic engineering practical problems. In some cases, numerical simulation can be used as an alternative, or at least an efficient pre-design tool, to more classic physical modeling. In this framework, the paper presents the application of integrated numerical tools to the automatic optimization of the geometry of a guide-wall at the entrance of a channel. The simulations have been performed by using a Genetic Algorithm based optimization tool coupled to a 2D free surface flow model. This finite volume multibock flow solver, WOLF2D, solves the conservative form of the classical shallow water equations together with a depth-integrated k-ε type turbulence model. The calculations have been performed on a cluster of 12 processors to reach a satisfactory solution in less than 2.5 days (96 solutions tested). On the basis of the numerical results and of the value of the suitability indicators, the optimal solution is objectively better than the other tested geometries. This confirms the efficiency of the automatic optimization procedure. [less ▲]

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See detailAutomatic grading of Bi-colored apples by multispectral machine vision
Unay, Devrim; Gosselin, Bernard; Kleynen, Olivier et al

in Computers & Electronics in Agriculture (2011)

In this paper we present a novel application work for grading of apple fruits by machine vision. Following precise segmentation of defects by minimal confusion with stem/calyx areas on multispectral ... [more ▼]

In this paper we present a novel application work for grading of apple fruits by machine vision. Following precise segmentation of defects by minimal confusion with stem/calyx areas on multispectral images, statistical, textural and geometric features are extracted from the segmented area. Using these features, statistical and syntactical classifiers are trained for two- and multi-category grading of the fruits. Results showed that feature selection provided improved performance by retaining only the important features, and statistical classifiers outperformed their syntactical counterparts. Compared to the state-of-the-art, our two-category grading solution achieved better recognition rates (93.5% overall accuracy). In this work we further provided a more realistic multi-category grading solution, where different classification architectures are evaluated. Our observations showed that the single-classifier architecture is computationally less demanding, while the cascaded one is more accurate. [less ▲]

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See detailAutomatic learning for the classification of primary frequency control behaviour
Cornélusse, Bertrand ULg; Wehenkel, Louis ULg; Wera, Claude

in Power Tech, 2007 IEEE Lausanne (2007)

In this paper we propose a methodology based on supervised automatic learning in order to classify the behaviour of generators in terms of their performance in providing primary frequency control ... [more ▼]

In this paper we propose a methodology based on supervised automatic learning in order to classify the behaviour of generators in terms of their performance in providing primary frequency control ancillary services. The problem is posed as a time-series classification problem, and handled by using state-of- the-art supervised learning methods such as ensembles of decision trees and support-vector machines combined with several preprocessing techniques. The method was designed in the context of the Belgian system and is validated on real-life data composed of more than 600 time-series recorded on this system. [less ▲]

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See detailAutomatic learning of sequential decision strategies for dynamic security assessment and control
Wehenkel, Louis ULg; Glavic, Mevludin; Geurts, Pierre ULg et al

in Proceedings of the IEEE Power Engineering Society General Meeting 2006 (2006)

This paper proposes to formulate security control as a sequential decision making problem and presents new developments in automatic learning of sequential decision making strategies from simulations and ... [more ▼]

This paper proposes to formulate security control as a sequential decision making problem and presents new developments in automatic learning of sequential decision making strategies from simulations and/or information collected from real-life system measurements. The exploitation of these methods for the design of decision making strategies and control policies in the context of preventive and emergency mode dynamic security assessment and control is discussed and further opportunities for research in this area are highlighted. [less ▲]

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See detailAutomatic learning techniques in power systems
Wehenkel, Louis ULg

Book published by Springer (1997)

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See detailAutomatic localization of interest points in zebrafish images with tree-based methods
Stern, Olivier ULg; Marée, Raphaël ULg; Aceto, Jessica ULg et al

in Proceedings of the 6th IAPR International Conference on Pattern Recognition in Bioinformatics (2011)

In many biological studies, scientists assess effects of experimental conditions by visual inspection of microscopy images. They are able to observe whether a protein is expressed or not, if cells are ... [more ▼]

In many biological studies, scientists assess effects of experimental conditions by visual inspection of microscopy images. They are able to observe whether a protein is expressed or not, if cells are going through normal cell cycles, how organisms evolve in different experimental conditions, etc. But, with the large number of images acquired in high-throughput experiments, this manual inspection becomes lengthy, tedious and error-prone. In this paper, we propose to automatically detect specific interest points in microscopy images using machine learning methods with the aim of performing automatic morphometric measurements in the context of Zebrafish studies. We systematically evaluate variants of ensembles of classification and regression trees on four datasets corresponding to different imaging modalities and experimental conditions. Our results show that all variants are effective, with a slight advantage for multiple output methods, which are more robust to parameter choices. [less ▲]

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See detailAutomatic multiclass classification of 18FDG-PET scans for the distinction between Parkinson’s disease and atypical parkinsonian syndromes
Phillips, Christophe ULg; Schrouff, Jessica ULg; Luxen, André ULg et al

Poster (2012, June 10)

Part of the difficulty in the early diagnosis of Parkinson’s disease (PD) is in differentiating it from atypical parkinsonian disorders (APS) that have a poorer prognosis such as multiple system atrophy ... [more ▼]

Part of the difficulty in the early diagnosis of Parkinson’s disease (PD) is in differentiating it from atypical parkinsonian disorders (APS) that have a poorer prognosis such as multiple system atrophy (MSA), progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). 18flurodeoxyglucose (FDG) positron emission tomography (PET) has been recommended for the early differentiation between PD and APS [1]. Here, 120 FDG PET scans (42, 31, 26 and 21 for the PD, MSA, PSP and CBS resp.) were acquired on average 3.5 years after symptoms onset (because the initial clinical features were outside the prevailing perception for PD) to look, without any a priori assumption, for cerebral FDG uptake patterns that discriminate either between the PD and APS classes, or between the four PD, MSA, PSP and CBS classes. The diagnostic used to label the scans was defined by clinical criteria on average 4.5 years after PET assessment. [less ▲]

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See detailAutomatic Object Recognition from Range Imagery Using Appearance Models
Verly, Jacques ULg; Williams, Brian D.; Dudgeon, Dan E.

Conference (1987, December)

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See detailAutomatic Photometric Telescopes and Photometric Accuracy
Sterken, C.; Manfroid, Jean ULg

in Precision Photometry: Astrophysics of the Galaxy (1991)

Not Available

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See detailAutomatic Photometry at La Silla
Sterken, C.; Manfroid, Jean ULg

in The Messenger (1991), 63

Not Available

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See detailAutomatic plastic-hinge analysis and design of 3D steel frames
Hoang, Van Long ULg

Book published by University of Liege (2008)

Detailed reference viewed: 84 (28 ULg)
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See detailAutomatic real-time collection of RCS of airplanes in a real bistatic low-frequency configuration using a software defined passive radar based on illuminators of opportunity
Pisane, Jonathan ULg; Azarian, Sylvain; Lesturgie, Marc et al

in Proceedings of the 2012 IEEE Radar Conference (2012, May)

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See detailAn automatic remeshing processor
Habraken, Anne ULg

in Journal of Materials Processing Technology (1990), 24

Detailed reference viewed: 7 (2 ULg)
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See detailAn automatic remeshing technique for finite element simulation of forming processes
Habraken, Anne ULg; Cescotto, Serge ULg

in International Journal for Numerical Methods in Engineering (1990), 30(8), 1503-1525

Detailed reference viewed: 41 (8 ULg)
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See detailAutomatic Scoring of sleep apnea and hypopnea by analysis of mandibular movements
Senny, Frédéric ULg; Destiné, Jacques ULg; Verly, Jacques ULg et al

in M.H.Hamza (Ed.) Proceedings of the 3rd International IASTED International conference on Biomedical Engineering (2005, February)

In this paper, we propose a method for sleep apnea and hypopnea detection by analyzing the mandibular movements recorded during sleep. This signal, highly correlated with the esophageal pressure during ... [more ▼]

In this paper, we propose a method for sleep apnea and hypopnea detection by analyzing the mandibular movements recorded during sleep. This signal, highly correlated with the esophageal pressure during apnea or hypopnea, is a good marker of respiratory efforts. The respiratory efforts and their background activity are used to detect salient mandibular movements related to sleep apnea and hypopnea, to delineate and to recognize episodes of sleep apnea and hypopnea. The method presented may be extended to others breathing disorders such as Respiratory Efforts Related Arousals (RERA). [less ▲]

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See detailAutomatic shape optimization with GAs and a 2D free surface flow solver
Erpicum, Sébastien ULg; Dewals, Benjamin ULg; Pirotton, Michel ULg

in Proceedings of the 4th International Conference on Advanced Computational Methods in Engineering (2008)

Detailed reference viewed: 27 (4 ULg)