Concept

Interaction multimodale

Publications associées (32)

Meta Transfer Learning for Early Success Prediction in MOOCs

Despite the increasing popularity of massive open online courses (MOOCs), many suffer from high dropout and low success rates. Early prediction of student success for targeted intervention is therefore essential to ensure no student is left behind in a cou ...

ACM2022

Textual Explanations and Critiques in Recommendation Systems

Diego Matteo Antognini

Artificial intelligence and machine learning algorithms have become ubiquitous. Although they offer a wide range of benefits, their adoption in decision-critical fields is limited by their lack of interpretability, particularly with textual data. Moreover, ...

EPFL2022

Empirical observations of multi-modal network-level models: Insights from the pNEUMA experiment

Nikolaos Geroliminis, Emmanouil Barmpounakis

Multi-modal interactions at the network-level remain unexplored due to the lack of highresolution data for all transportation modes involved. The current work investigates the effect of multi-modal interactions at space-mean network speed for each mode usi ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Cyclic thermomechanical behaviour of pile-soil interface and design methods for energy pile foundations

Elena Ravera

Energy piles are shallow geothermal systems integrated into structures already required for structural functions of civil works that provide both geothermal energy supply and structural support to the built environments. This research work is driven by the ...

EPFL2021

Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir, Aditi Kothiyal

Understanding how learners engage with learning technologies, and its relation with their learning, is crucial to the design of effective learning interventions. Assessing the learners’ state however, is non-trivial. Research suggests that performance is n ...

2021

Emergent nonlinear phenomena in a driven dissipative photonic dimer

Tobias Kippenberg, Rui Ning Wang, Mikhail Churaev, Junqiu Liu, Hairun Guo, Alexey Tikan, Kenichi Komagata

Collective effects leading to spatial, temporal or spatiotemporal pattern formation in complex nonlinear systems driven out of equilibrium cannot be described at the single-particle level and are therefore often called emergent phenomena. They are characte ...

NATURE RESEARCH2021

Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers

Silvestro Micera, Fiorenzo Artoni, Luca Tonin, Stefano Tortora

Despite the advances in the field of brain computer interfaces (BCI), the use of the sole electroencephalography (EEG) signal to control walking rehabilitation devices is currently not viable in clinical settings, due to its unreliability. Hybrid interface ...

2020

Materializing Personal Standing Mobility from Design to Shared Control

Aude Billard, Diego Felipe Paez Granados

We introduce a unique intelligent system that relies on the centre of mass motions for conveying the user's motion intention. The objective of this device is to achieve a standing mobility vehicle for users with lower body impairments, such as spinal cord ...

2020

Visual Attention and Perceptual Quality in Omnidirectional Imaging

Evgeniy Upenik

Omnidirectional imaging has reached a level of widespread availability driven by recent advances in integrated circuit technology, image sensors, and computer graphics which allow now capturing, rendering and displaying of such type of immersive content in ...

EPFL2020

Smartphone Multi-modal Biometric Authentication: Database and Evaluation

Sébastien Marcel, Amir Mohammadi

Biometric-based verification is widely employed on the smartphones for various applications, including financial transactions. In this work, we present a new multimodal biometric dataset (face, voice, and periocular) acquired using a smartphone. The new da ...

Idiap2020

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