Concept

Commentaire (informatique)

Publications associées (28)

Challenges and Opportunities in Integrating Interactive Chatbots into Code Review Exercises: A Pilot Case Study

Denis Gillet, Juan Carlos Farah, Adrian Christian Holzer

While chatbots are commonly used to support software developers with repetitive tasks, their use in programming education is still limited, particularly for students in non-technical domains. To better understand the potential for chatbots to support progr ...

IATED2022

An Exploratory Study of Reactions to Bot Comments on GitHub

Denis Gillet, Juan Carlos Farah, Sandy Ingram, Xinyang Lu

The widespread use of bots to support software development makes social coding platforms such as GitHub a particularly rich source of data for the study of human-bot interaction. Software development bots are used to automate repetitive tasks, interacting ...

ACM2022

Analysis of Beijing 2022 Big Air Venue through data from WeChat Channel & Weibo

Huishu Deng

The Big Air venue of Beijing is constructed in an industrial heritage site named Shougang, under the concept of activating the abandoned area and linking the Olympic venue with public leisure life. As Beijing 2022 has concluded half a year ago and the Shou ...

2022

A discussion on the paper "Role of porosity on the stiffness and stability of (001) surface of the nanogranular C-S-H gel"

Paul Bowen, Aslam Kunhi Mohamed

This paper is a discussion of a recent publication by Sekkal and coworkers, which investigated the elasticity, cohesion, and stability of the C-S-H (001) surface as a function of porosity using molecular dynamics simulations. In our discussion, we highligh ...

Elsevier2017

FMA: A Dataset For Music Analysis

Pierre Vandergheynst, Kirell Maël Benzi, Xavier Bresson, Michaël Defferrard

We introduce the Free Music Archive (FMA), an open and easily accessible dataset which can be used to evaluate several tasks in music information retrieval (MIR), a field concerned with browsing, searching, and organizing large music collections. The commu ...

2017

Near-Memory Address Translation

Javier Picorel Obando

Virtual memory (VM) is a crucial abstraction in modern computer systems at any scale, from handheld devices to datacenters. VM provides programmers the illusion of an always sufficiently large and linear memory, making programming easier. Although the core ...

EPFL2017

OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis

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

Neurofeedback based on real-time functional magnetic resonance imaging (rt-fMRI) is a novel and rapidly developing research field. It allows for training of voluntary control over localized brain activity and connectivity and has demonstrated promising cli ...

Elsevier2017

Adaptive sentiment-aware one-class collaborative filtering

Andrei Popescu-Belis, Nikolaos Pappas

This paper presents a novel application of sentiment analysis to recommender systems relying on explicit one-class user feedback (favorites or likes), namely joint models of unary feedback and sentiment of free-form user comments. This combination is achie ...

Elsevier2016

Learning Explainable User Sentiment and Preferences for Information Filtering

Nikolaos Pappas

In the last decade, online social networks have enabled people to interact in many ways with each other and with content. The digital traces of such actions reveal people's preferences towards online content such as news or products. These traces often res ...

EPFL2016

Interactive Synthesis using Free-Form Queries

Viktor Kuncak, Tihomir Gvero

We present a new code assistance tool for integrated development environments. Our system accepts free-form queries allowing a mixture of English and Java as an input, and produces Java code fragments that take the query into account and respect syntax, ty ...

2015

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search