Batch effect removal methods for microarray gene expression data integration: a survey von Lazar, Cosmin, Meganck, Stijn, Taminau, Jonatan, Steenhoff, David, Coletta, Alain, Molter, Colin, Weiss-Solís, David Y, Duque, Robin, Bersini, Hugues, Nowé, Ann

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Separation of samples into their constituents using gene expression data von Venet, D., Pecasse, F., Maenhaut, C., Bersini, H.

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Heart rate variability to predict 1-day atrial fibrillation episode onset using machine learning von Gregoire, J M, Gilon, C, Bersini, H, Groben, L, Nguyen, T, Godart, P, Carlier, S

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Unravelling the black box of machine learning for atrial fibrillation forecast: role of heart rate variability and of premature beats von Gregoire, J.M, Gilon, C, Carlier, S, Bersini, H

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The immune and the chemical crossover von Bersini, H.

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The frustrated and compositional nature of chaos in small Hopfield networks von Bersini, Hugues

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A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis von Lazar, C., Taminau, J., Meganck, S., Steenhoff, D., Coletta, A., Molter, C., de Schaetzen, V., Duque, R., Bersini, H., Nowe, A.

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P6568Forecasting atrial fibrillation using machine learning techniques von Gregoire, J.-M, Subramanian, N, Papazian, D, Bersini, H

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Autonomic nervous system activity before atrial fibrillation as assessed by heart rate variability: A tool for neuromodulation? von Grégoire, J.-M., Gilon, C., Marelli, F., Bersini, H., Carlier, S.

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Deep learning-based identification of paroxysmal atrial fibrillation signatures in two-lead sinus rhythm electrocardiograms von Grégoire, J.-M., Gilon, C., Bersini, H., Groben, L., Godart, P., Carlier, S.

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Machine learning-based atrial fibrillation onset prediction using heart rate variability geometric analysis and heart rate fragmentation von Gilon, C., Grégoire, J.-M., Groben, L., Godart, P., Carlier, S., Bersini, H.

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Potential value of the low frequency/high frequency ratio of heart rate variability to guide atrial fibrillation ablation procedures von Gregoire, JM, Gilon, C, Hellinckx, J, Carlier, S, Bersini, H

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CONDOR, a new parallel, constrained extension of Powell's UOBYQA algorithm: Experimental results and comparison with the DFO algorithm von Vanden Berghen, Frank, Bersini, Hugues

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The potential of artificial intelligence in medical decision making von Grégoire, JM, Gilon, C, Carlier, S, Bersini, H

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Recycling Frank: Spontaneous Emergence of Homochirality in Noncatalytic Systems von Plasson, Raphaël, Bersini, Hugues, Commeyras, Auguste, Halpern, Jack

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QT-dynamicity for atrial fibrillation detection and short-term forecast using machine learning von Grégoire, J.-M., Gilon, C., Vaneberg, N., Bersini, H., Carlier, S.

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Reproducibility of machine learning models for paroxysmal atrial fibrillation onset forecast von Gilon, C., Grégoire, J.-M., Hellinckx, J., Carlier, S., Bersini, H.

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Parametrical mechanical design with constraints and preferences: application to a purge valve von Coelho, R.Filomeno, Bersini, H., Bouillard, Ph

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Importance of vagal tone before atrial fibrillation onset von Grégoire, J.-M., Gilon, C., Godart, P., Carlier, S., Bersini, H.

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Forecasting episodes of atrial fibrillation using a new machine learning algorithm von Grégoire, J., Gilon, C., Subramanian, N., Bersini, H.

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