Publications associées à Human-based computation

Crowding reveals fundamental differences in local vs. global processing in humans and machines

Michael Herzog, Aurélien Bornet, Adrien Christophe Doerig, Oh-Hyeon Choung

Feedforward Convolutional Neural Networks (ffCNNs) have become state-of-the-art models both in computer vision and neuroscience. However, human-like performance of ffCNNs does not necessarily imply human-like computations. Previous studies have suggested t ...

2020

Fostering computational thinking through educational robotics: a model for creative computational problem solving

Francesco Mondada, Christian Giang, Alberto Piatti, Morgane Solène Denise Chevalier

Background: Educational robotics (ER) is increasingly used in classrooms to implement activities aimed at fostering the development of students’ computational thinking (CT) skills. Though previous works have proposed different models and frameworks to desc ...

2020

Argument discovery via crowdsourcing

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

The amount of controversial issues being discussed on the Web has been growing dramatically. In articles, blogs, and wikis, people express their points of view in the form of arguments, i.e., claims that are supported by evidence. Discovery of arguments ha ...

Springer Verlag2017

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

Stéphane Joost, Devis Tuia, Matthew Josef Parkan, Carlos Castillo, Muhammad Imran, Patrick Meier, Julien Briant

Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial resol ...

Mary Ann Liebert, Inc2016

Principal Polynomial Analysis

Devis Tuia

This paper presents a new framework for manifold learning based on a sequence of principal polynomials that capture the possibly nonlinear nature of the data. The proposed Principal Polynomial Analysis (PPA) generalizes PCA by modeling the directions of ma ...

World Scientific Publ Co Pte Ltd2014

Reputation-based Estimation of Individual Performance in Collaborative and Competitive Grids

Hidden information is a critical issue for the successful delivery of services in grid systems. It arises when the agents (hardware and software resources) employed to serve a task belong to multiple administrative domains, thus rendering monitoring of rem ...

Elsevier2010