Publications associées à Jeu en ligne

Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances"

Humor is an essential human trait. Efforts to understand humor have called out links between humor and the foundations of cognition, as well as the importance of humor in social engagement. As such, it is a promising and important subject of study, with re ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2019

Teaching Practical DSP with Off-the-Shelf Hardware and Free Software

Paolo Prandoni, Eric Bezzam, Adrien Guillaume Olivier Hoffet

In this paper we describe our approach to teaching applied digital signal processing (DSP) using freely-available software and inexpensive off-the-shelf hardware components. The pedagogical framework is built around simple real-time audio processing algori ...

IEEE2019

MATHICSE Technical Report: Simulation-Based Anomaly Detection and Damage Localization: an Application to Structural Health Monitoring

Jan Sickmann Hesthaven, Caterina Bigoni

We propose a simulation-based decision strategy for the proactive maintenance of complex structures with a particular application to structural health monitoring (SHM). The strategy is based on a data-driven approach which exploits an offine-online decompo ...

MATHICSE2019

MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Jan Sickmann Hesthaven, Mariella Kast, Mengwu Guo

We propose a non-intrusive reduced basis (RB) method for parametrized nonlinear partial differential equations (PDEs) that leverages models of different accuracy. The method extracts parameter locations from a collection of low-fidelity (LF) snapshots for ...

MATHICSE2019

Stimuli-based Gaze Analytics to Enhance Motivation and Learning in MOOCs

Pierre Dillenbourg, Kshitij Sharma

The interaction with the various learners in a Massive Open Online Course (MOOC) is often complex. Contemporary MOOC learning analytics relate with click-streams, keystrokes and other user-input variables. Such variables however, do not always capture lear ...

IEEE2019

Three's a Crowd?

Christopher Tucci, Gianluigi Viscusi

According to conventional wisdom on crowdsourcing, the number of people defines the crowd and maximization of this number is often assumed to be the goal of any crowdsourcing exercise. However, some structural characteristics of the crowd might be more imp ...

Oxford University Press2018

Non-intrusive reduced order modeling of nonlinear problems using neural networks

Jan Sickmann Hesthaven, Stefano Ubbiali

We develop a non-intrusive reduced basis (RB) method for parametrized steady-state partial differential equations (PDEs). The method extracts a reduced basis from a collection of high-fidelity solutions via a proper orthogonal decomposition (POD) and emplo ...

2018

Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

Qian Wang, Jan Sickmann Hesthaven, Deep Ray

A non-intrusive reduced-basis (RB) method is proposed for parametrized unsteady flows. A set of reduced basis functions are extracted from a collection of high-fidelity solutions via a proper orthogonal decomposition (POD), and the coefficients of the redu ...

2018

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Jeu en ligne

Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances"

Teaching Practical DSP with Off-the-Shelf Hardware and Free Software

MATHICSE Technical Report: Simulation-Based Anomaly Detection and Damage Localization: an Application to Structural Health Monitoring

MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Stimuli-based Gaze Analytics to Enhance Motivation and Learning in MOOCs

Reduced order modeling for nonlinear structural analysis using Gaussian process regression

Trends in robot-assisted and virtual reality-assisted neuromuscular therapy: a systematic review of health-related multiplayer games

Three's a Crowd?

Non-intrusive reduced order modeling of nonlinear problems using neural networks

Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

Graph Chatbot

Chattez avec Graph Search

Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances"

MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Teaching Practical DSP with Off-the-Shelf Hardware and Free Software

Stimuli-based Gaze Analytics to Enhance Motivation and Learning in MOOCs

Reduced order modeling for nonlinear structural analysis using Gaussian process regression

Three's a Crowd?

MATHICSE Technical Report: Simulation-Based Anomaly Detection and Damage Localization: an Application to Structural Health Monitoring

Trends in robot-assisted and virtual reality-assisted neuromuscular therapy: a systematic review of health-related multiplayer games

Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

Non-intrusive reduced order modeling of nonlinear problems using neural networks