Publications associées à Forêt d'arbres décisionnels

Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference

Roberto Castello, Jean-Louis Scartezzini, Nahid Mohajeri Pour Rayeni, Alina Ursula Rosa Walch

The increasing use of ground-source heat pumps (GSHPs) for heating and cooling of buildings raises questions regarding the technical potential of GSHPs and their impact on the temperature in the shallow subsurface. In this paper, we develop a method using ...

IOP PUBLISHING LTD2021

Adaptive Path Interpolation Method for Sparse Systems: Application to a Censored Block Model

Nicolas Macris, Jean François Emmanuel Barbier, Chun Lam Chan

Recently, a new adaptive path interpolation method has been developed as a simple and versatile scheme to calculate exactly the asymptotic mutual information of Bayesian inference problems defined on dense factor graphs. These include random linear and gen ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Robustness via Cross-Domain Ensembles

Shuqing Teresa Yeo, Amir Roshan Zamir, Oguzhan Fatih Kar

We present a method for making neural network predictions robust to shifts from the training data distribution. The proposed method is based on making predictions via a diverse set of cues (called 'middle domains') and ensembling them into one strong predi ...

IEEE2021

Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts

Cathrin Brisken, Fabio De Martino, Marie Shamseddin, Francesco Marchetti

Little is known about the biological functions which are exerted by hormone receptors in physiological conditions. Here, we made use of the Mouse INtraDuctal (MIND) model, an innovative patient-derived xenograft (PDX) model, to characterize global gene exp ...

IEEE2020

When Is Amplification Necessary for Composition in Randomized Query Complexity?

Mika Tapani Göös

Suppose we have randomized decision trees for an outer function f and an inner function g. The natural approach for obtaining a randomized decision tree for the composed function (f∘ gⁿ)(x¹,…,xⁿ) = f(g(x¹),…,g(xⁿ)) involves amplifying the success probabili ...

Schloss Dagstuhl - Leibniz-Zentrum für Informatik2020

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Florent Gérard Krzakala, Lenka Zdeborová

We consider a commonly studied supervised classification of a synthetic dataset whose labels are generated by feeding a one-layer non-linear neural network with random iid inputs. We study the generalization performances of standard classifiers in the high ...

Curran Associates, Inc.2020

Cognitive workload monitoring in virtual reality based rescue missions with drones

David Atienza Alonso, Adriana Arza Valdes, Fabio Isidoro Tiberio Dell'Agnola, Niloofar Momeni

The use of drones in search and rescue (SAR) missions can be very cognitively demanding. Since high levels of cognitive workload can negatively affect human performance, there is a risk of compromising the mission and leading to failure with catastrophic o ...

2020

EEG Microstates Predict Concurrent fMRI Dynamic Functional Connectivity States

João Pedro Forjaco Jorge, Patricia Figueiredo, Ana Francisca Leal Silva Soares, Thomas Koenig

Brain functional connectivity measured by resting-state fMRI varies over multiple time scales, and recurrent dynamic functional connectivity (dFC) states have been identified. These have been found to be associated with different cognitive and pathological ...

SPRINGER2020

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Forêt d'arbres décisionnels

Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference

Metric dimension of critical Galton–Watson trees and linear preferential attachment trees

Adaptive Path Interpolation Method for Sparse Systems: Application to a Censored Block Model

RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing

Robustness via Cross-Domain Ensembles

Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts

When Is Amplification Necessary for Composition in Randomized Query Complexity?

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Cognitive workload monitoring in virtual reality based rescue missions with drones

EEG Microstates Predict Concurrent fMRI Dynamic Functional Connectivity States

Graph Chatbot

Chattez avec Graph Search

Adaptive Path Interpolation Method for Sparse Systems: Application to a Censored Block Model

Metric dimension of critical Galton–Watson trees and linear preferential attachment trees

RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing

Robustness via Cross-Domain Ensembles

Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts

When Is Amplification Necessary for Composition in Randomized Query Complexity?

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Cognitive workload monitoring in virtual reality based rescue missions with drones

EEG Microstates Predict Concurrent fMRI Dynamic Functional Connectivity States

Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference