Publications associées à Approaches to learning, metacognition and personality; an exploratory and confirmatory factor analysis

Publications associées (38)

Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting

Alexandre Massoud Alahi, Kaouther Messaoud Ben Amor

Existing vehicle trajectory prediction models struggle with generalizability, prediction uncertainties, and handling complex interactions. It is often due to limitations like complex architectures customized for a specific dataset and inefficient multimoda ...

Institute of Electrical Engineering2025

Accelerating Transfer Learning with Near-Data Computation on Cloud Object Stores

Rachid Guerraoui, Arsany Hany Abdelmessih Guirguis, Diana Andreea Petrescu

Storage disaggregation underlies today's cloud and is naturally complemented by pushing down some computation to storage, thus mitigating the potential network bottleneck between the storage and compute tiers. We show how ML training benefits from storage ...

Association for Computing Machinery, Inc2024

SIMBa: System Identification Methods Leveraging Backpropagation

Colin Neil Jones, Giancarlo Ferrari Trecate, Muhammad Zakwan, Loris Di Natale

This manuscript details and extends the system identification methods leveraging the backpropagation (SIMBa) toolbox presented in previous work, which uses well-established machine learning tools for discrete-time linear multistep-ahead state-space system ...

2024

Structural Correlates of Personality Dimensions in Healthy Aging and MCI

Dimitri Nestor Alice Van De Ville, Djalel Eddine Meskaldji

The revised NEO Personality Inventory (NEOPI-R), popularly known as the five-factor model, defines five personality factors: Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness. The structural correlates of these persona ...

Frontiers Media2019

Social Sensing Methods for Analysis of Dyadic Hospitality Encounters

Skanda Muralidhar

First impressions are critical to professional interactions, especially in service industry like hospitality. In the service industry, customers often assess quality of service based on the behavior, perceived personality, and other attributes of the front ...

EPFL2019

Brain networks for engaging oneself in positive-social emotion regulation

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush

Positive emotions facilitate cognitive performance, and their absence is associated with burdening psychiatric disorders. However, the brain networks regulating positive emotions are not well understood, especially with regard to engaging oneself in positi ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Vlogging Over Time: Longitudinal Impressions and Behavior in YouTube

Daniel Gatica-Perez, Dinesh Babu Jayagopi

YouTube vlogging, as a popular genre of ubiquitous social video, engages people in entertainment, civic, and social activities. Although several aspects of vlogging have been studied in media studies and multimedia analysis, the longitudinal angle of vlogg ...

ASSOC COMPUTING MACHINERY2018

Cannabis use, cannabis use disorder and mental health disorders among pregnant and postpartum women in the US: A nationally representative study

Aaron Leor Sarvet

Background: Cannabis use and cannabis use disorder (CUD) are associated with mental health disorders, however the extent of this matter among pregnant and recently postpartum (e.g., new moms) women in the US is un-known. Associations between cannabis use, ...

2023

The individual structure of visual space

Michael Herzog, Gregory Francis, Lukasz Grzeczkowski, Albulena Jashari-Shaqiri, Aline Françoise Cretenoud

Common factors are ubiquitous. First, we show that, however in vision, correlations of performance in similar paradigms are low even though test-retest reliability is high. Second, one might expect that correlations increase with increasing age because of ...

2018

About individual differences in vision

Michael Herzog, Gregory Francis, Aaron Michael Clarke, Lukasz Grzeczkowski

In cognition, audition, and somatosensation, performance strongly correlates between different paradigms, which suggests the existence of common factors. In contrast, visual performance in seemingly very similar tasks, such as visual and bisection acuity, ...

Elsevier2017

Euclid: Identification of asteroid streaks in simulated images using deep learning

Frédéric Courbin, Georges Meylan

The material composition of asteroids is an essential piece of knowledge in the quest to understand the formation and evolution of the Solar System. Visual to near-infrared spectra or multiband photometry is required to constrain the material composition o ...

Edp Sciences S A2023

Rapport with Virtual Agents: What do Human Social Cues and Personality Explain?

Daniel Gatica-Perez

Rapport has been recognized as an important aspect of relationship building. While rapport in the context of human-human interaction has been widely studied, how it can be established and maintained in human-agent interaction has been studied only recently ...

2017

Neuroengineering of hallucinations through fMRI neurofeedback: Understanding and modulating neural dynamics for the control of hallucinations in health and disease

Herberto Dhanis Pedro De Barros Camacho

Recent years have seen considerable progress in understanding brain function, and in modulating it through real-time fMRI neurofeedback (NF). Inspired by these advances, paired with the unique possibility of inducing the clinically relevant Presence Halluc ...

EPFL2023

Solving Non-linear Kolmogorov Equations in Large Dimensions by Using Deep Learning: A Numerical Comparison of Discretization Schemes

Nicolas Macris

Non-linear partial differential Kolmogorov equations are successfully used to describe a wide range of time dependent phenomena, in natural sciences, engineering or even finance. For example, in physical systems, the Allen-Cahn equation describes pattern f ...

SPRINGER/PLENUM PUBLISHERS2023

In vivo neurochemistry of the ventral striatum and social competition in Homo sapiens

Alina Veronika Irene Strasser

Ventral striatal function and trait anxiety have been shown to influence reward-seeking behaviour and social competition in humans. Moreover, social status perceptions have been shown to modulate ventral striatal function. The neurochemical underpinnings o ...

EPFL2017

Motor imagery in spinal cord injured people is modulated by somatotopic coding, perspective taking, and post-lesional chronic pain

Polona Pozeg

Motor imagery (MI) allows one to mentally represent an action without necessarily performing it. Importantly, however, MI is profoundly influenced by the ability to actually execute actions, as demonstrated by the impairment of this ability as a consequenc ...

Wiley2017

On the mechanical, cognitive and sociable facets of human compliance and their robotic counterparts

Aude Billard

Compliance has become a key requirement for robots meant to interact with humans. It is viewed as a necessary property to increase safety and efficiency in human-robot cooperative actions. In humans, compliance takes three dimensions: mechanical, cognitive ...

Elsevier2017

Identifying Disease-Specific Neural Reactivity to Psychosocial Stress in Borderline Personality Disorder

Dimitri Nestor Alice Van De Ville

BACKGROUND: Patients with borderline personality disorder (BPD) typically present emotion dysregulation (ED) when faced with adversity. However, it is argued that altered stress response may be more influenced by ED than BPD-specific traits. Here, we inves ...

ELSEVIER2022

Tell me about your Ponzo and I will tell you who you are

Michael Herzog, Aaron Michael Clarke, Lukasz Grzeczkowski

Unlike in cognition, audition and somatosensation, performance between various visual tasks does not correlate. Surprisingly, even tasks that appear similar, like visual acuity and line bisection task do not share much common variance. Similar results were ...

2016

Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate

Pascal Fua, Mateusz Kozinski, Doruk Oner, Leonardo Citraro

Deep learning-based approaches to delineating 3D structure depend on accurate annotations to train the networks. Yet in practice, people, no matter how conscientious, have trouble precisely delineating in 3D and on a large scale, in part because the data i ...

Institute of Electrical and Electronics Engineers2022