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Publications associées (29)

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

In this paper, we propose and compare personalized models for Productive Engagement (PE) recognition. PE is defined as the level of engagement that maximizes learning. Previously, in the context of robot-mediated collaborative learning, a framework of prod ...

2022

Adaptive extreme video completion

Sabine Süsstrunk, Radhakrishna Achanta, Majed El Helou, Ruofan Zhou

A computer-implemented video completion method is proposed for reconstructing a sparsely sampled video comprising sparsely sampled video frames comprising sparse sets of picture element intensity values. The method comprises: distributing the sparse sets o ...

2021

PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-Sourcing

Lakmal Buddika Meegahapola

In mobile crowd-sourcing systems, simply relying on people to opportunistically select and perform tasks typically leads to drawbacks such as low task acceptance/completion rates and undesirable spatial skews. In this paper, we utilize data from TASKer, a ...

ACM2020

Loopy Levy flights enhance tracer diffusion in active suspensions

Tomohiko Sano, Andrea Cairoli

A theoretical framework describing the hydrodynamic interactions between a passive particle and an active medium in out-of-equilibrium systems predicts long-range Levy flights for the diffusing particle driven by the density of the active component. Browni ...

2020

Building perception block by block: a response to Fekete et al.

Michael Herzog, Frank Scharnowski, Adrien Christophe Doerig

Is consciousness a continuous stream, or do percepts occur only at certain moments of time? This age-old question is still under debate. Both positions face difficult problems, which we proposed to overcome with a 2-stage model, where unconscious processin ...

Oxford University Press (OUP)2019

Asynchronous Simulation of Neuronal Activity

Bruno Ricardo Da Cunha Magalhães

Simulations of the electrical activity of networks of morphologically-detailed neuron models allow for a better understanding of the brain. Short time to solution is critical in order to study long biological processes such as synaptic plasticity and learn ...

EPFL2019

The online electric autonomous dial-a-ride problem

Anouk Larisse Allenspach

The DARP (Dial-a-Ride Problem) is concerned with providing service to a number of requests, specifying their location of origin and destination, as well as time windows indicating their desired service time for at least one of the locations. In the dynamic ...

2018

Fibroblastic niches prime T cell alloimmunity through Delta-like Notch ligands

Freddy Radtke, Ute Koch

Alloimmune T cell responses induce graft-versus-host disease (GVHD), a serious complication of allogeneic bone marrow transplantation (allo-BMT). Although Notch signaling mediated by Delta-like 1/4 (DLL1/4) Notch ligands has emerged as a major regulator of ...

Amer Soc Clinical Investigation Inc2017

Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing

Anastasia Ailamaki, Manolis Karpathiotakis, Ioannis Alagiannis, Manoussos Gavriil Athanassoulis, Matthaios Alexandros Olma

The constant flux of data and queries alike has been pushing the boundaries of data analysis systems. The increasing size of raw data files has made data loading an expensive operation that delays the data-to-insight time. Hence, recent in-situ query proce ...

VLDB Endowment2017

Windows and renovation: The case of 19th century ordinary housing in Switzerland

Luca Ortelli, Catarina Wall Gago, Peter Zurbrügg

Ordinary residential buildings dating from late nineteenth century and early twentieth century are an essential part of the European urban built environment. Today, it is important to address the comfort of residents through renovations improving the build ...

Green Lines Institute for Sustainable Development2016

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