Publications related to Social Learning with Disparate Hypotheses

This work proposes a novel strategy for social learning by introducing the critical feature of adaptation. In social learning, several distributed agents update continually their belief about a phenomenon of interest through: i) direct observation of strea ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Understanding teacher design practices for digital inquiry-based science learning: the case of Go-Lab

Denis Gillet, Maria Jesus Rodriguez Triana

Designing and implementing online or digital learning material is a demanding task for teachers. This is even more the case when this material is used for more engaged forms of learning, such as inquiry learning. In this article, we give an informed accoun ...

SPRINGER2021

Social Learning Under Inferential Attacks

Ali H. Sayed, Stefan Vlaski, Virginia Bordignon, Konstantinos Ntemos

A common assumption in the social learning literature is that agents exchange information in an unselfish manner. In this work, we consider the scenario where a subset of agents aims at driving the network beliefs to the wrong hypothesis. The adversaries a ...

IEEE2021

Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis

Dimitri Nestor Alice Van De Ville, Raphaël Pierre Liégeois

Null models are useful for assessing whether a dataset exhibits a non-trivial property of interest. These models have recently gained interest in the neuroimaging community as means to explore dynamic properties of functional Magnetic Resonance Imaging (fM ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2021

Differentiation between benign and malignant vertebral compression fractures using qualitative and quantitative analysis of a single fast spin echo T2-weighted Dixon sequence

Tom Hilbert, Sébastien Bacher

Objectives To determine and compare the qualitative and quantitative diagnostic performance of a single sagittal fast spin echo (FSE) T2-weighted Dixon sequence in differentiating benign and malignant vertebral compression fractures (VCF), using multiple r ...

SPRINGER2021

Dynamic Federated Learning

Ali H. Sayed, Stefan Vlaski, Elsa Rizk

Federated learning has emerged as an umbrella term for centralized coordination strategies in multi-agent environments. While many federated learning architectures process data in an online manner, and are hence adaptive by nature, most performance analyse ...

IEEE2020

Toward catchment hydro-biogeochemical theories

Andrea Rinaldo, Paolo Benettin, Ilja van Meerveld, Li Li

Headwater catchments are the fundamental units that connect the land to the ocean. Hydrological flow and biogeochemical processes are intricately coupled, yet their respective sciences have progressed without much integration. Reaction kinetic theories tha ...

WILEY2020

Is There ‘ONE way’ of Learning? A Data-driven Approach

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir

Intelligent Tutoring Systems (ITS) are required to intervene in a learning activity while it is unfolding, to support the learner. To do so, they often rely on performance of a learner, as an approximation for engagement in the learning process. However, i ...

2020

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Social Learning with Disparate Hypotheses

Adaptive Social Learning

Understanding teacher design practices for digital inquiry-based science learning: the case of Go-Lab

Learning Analytics for Adaptive and Self-Improving Learning Environments for Inductive Teaching

Social Learning Under Inferential Attacks

Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis

Differentiation between benign and malignant vertebral compression fractures using qualitative and quantitative analysis of a single fast spin echo T2-weighted Dixon sequence

Dynamic Federated Learning

Toward catchment hydro-biogeochemical theories

Is There ‘ONE way’ of Learning? A Data-driven Approach

Probabilistic Deep Learning on Spheres for Weather/Climate Applications

Graph Chatbot

Chat with Graph Search

Understanding teacher design practices for digital inquiry-based science learning: the case of Go-Lab

Learning Analytics for Adaptive and Self-Improving Learning Environments for Inductive Teaching

Social Learning Under Inferential Attacks

Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis

Probabilistic Deep Learning on Spheres for Weather/Climate Applications

Differentiation between benign and malignant vertebral compression fractures using qualitative and quantitative analysis of a single fast spin echo T2-weighted Dixon sequence

Toward catchment hydro-biogeochemical theories

Adaptive Social Learning

Is There ‘ONE way’ of Learning? A Data-driven Approach

Dynamic Federated Learning