Publications associées à Human-based computation

Learning rich optical embeddings for privacy-preserving lensless image classification

Martin Vetterli, Eric Bezzam, Matthieu Martin Jean-André Simeoni

By replacing the lens with a thin optical element, lensless imaging enables new applications and solutions beyond those supported by traditional camera design and post-processing, e.g. compact and lightweight form factors and visual privacy. The latter ari ...

2022

Promoting Computational Thinking Skills in Non-Computer Science Students Gamifying Computational Notebooks to Increase Student Engagement

Denis Gillet, Juan Carlos Farah, Adrian Christian Holzer, Marc Lafuente Martinez, Pascal Felber

Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor and masters programs outside of the computer science discipline integ ...

2022

Positioning Left-hand Movement in Violin Performance: A System and User Study of Fingering Pattern Generation

Yi-Hsin Jen

Organizing fingerings, i.e., choosing which fingers to press on which positions and strings, is a crucial step for playing the violin. As the violin fingering comprises several components, the mapping of a musical phrase to the corresponding fingering arra ...

ASSOC COMPUTING MACHINERY2021

A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials

Mahsa Shoaran, Bingzhao Zhu, Zain Taufique

Migraine is a disabling neurological disorder that can be recurrent and persist for long durations. The continuous monitoring of the brain activities can enable the patient to respond on time before the occurrence of the approaching migraine episode to min ...

2021

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, Alberto Piatti, Christian Giang

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

Capsule networks as recurrent models of grouping and segmentation

Michael Herzog, Adrien Christophe Doerig, Bilge Sayim, Mauro Manassi, Lynn Schmittwilken

Classically, visual processing is described as a cascade of local feedforward computations. Feedforward Convolutional Neural Networks (ffCNNs) have shown how powerful such models can be. However, using visual crowding as a well-controlled challenge, we pre ...

2020

Practical Low-Rank Communication Compression in Decentralized Deep Learning

Martin Jaggi, Sai Praneeth Reddy Karimireddy, Thijs Vogels

Lossy gradient compression has become a practical tool to overcome the communication bottleneck in centrally coordinated distributed training of machine learning models. However, algorithms for decentralized training with compressed communication over arbi ...

2020

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Human-based computation

Understanding generalization and robustness in modern deep learning

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

Learning rich optical embeddings for privacy-preserving lensless image classification

Promoting Computational Thinking Skills in Non-Computer Science Students Gamifying Computational Notebooks to Increase Student Engagement

Positioning Left-hand Movement in Violin Performance: A System and User Study of Fingering Pattern Generation

A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials

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

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

Capsule networks as recurrent models of grouping and segmentation

Practical Low-Rank Communication Compression in Decentralized Deep Learning

Graph Chatbot

Chattez avec Graph Search

Understanding generalization and robustness in modern deep learning

Learning rich optical embeddings for privacy-preserving lensless image classification

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

Practical Low-Rank Communication Compression in Decentralized Deep Learning

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

Positioning Left-hand Movement in Violin Performance: A System and User Study of Fingering Pattern Generation

A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials

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

Capsule networks as recurrent models of grouping and segmentation

Promoting Computational Thinking Skills in Non-Computer Science Students Gamifying Computational Notebooks to Increase Student Engagement