Publications related to Supporting Therapists' Assessment in Parent-Mediated Training Through Autonomous Data Collection

Related publications (16)

Preparing Teachers for an Equitable AI Integration in Education

Francesco Mondada, Victoria Abou Khalil, Valentina Ferraioli

This workshop proposal aims to inform the design of teacher training on equity in the use and teaching of AI. AI is transforming both teaching practices and student learning environments and learning content. Teachers are increasingly using AI tools for co ...

Springer Science and Business Media Deutschland GmbH2025

Unlocking Artificial Intelligence Adoption in Local Governments: Best Practice Lessons from Real-World Implementations

Simon Elias Bibri

In an era marked by rapid technological progress, the pivotal role of Artificial Intelligence (AI) is increasingly evident across various sectors, including local governments. These governmental bodies are progressively leveraging AI technologies to enhanc ...

MDPI2024

Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations

Volkan Cevher, Grigorios Chrysos, Igor Krawczuk, Justin Samuel Deschenaux

Denoising Diffusion Probabilistic Models (DDPMs) exhibit remarkable capabilities in image generation, with studies suggesting that they can generalize by composing latent factors learned from the training data. In this work, we go further and study DDPMs t ...

2024

Multi-view Tracking UsingWeakly Supervised Human Motion Prediction

Pascal Fua, Weizhe Liu, Martin Pierre Engilberge

Multi-view approaches to people-tracking have the potential to better handle occlusions than single-view ones in crowded scenes. They often rely on the tracking-by-detection paradigm, which involves detecting people first and then connecting the detections ...

IEEE COMPUTER SOC2023

Editorial: Hybrid brain-robot interfaces for enhancing mobility

Silvestro Micera, Fiorenzo Artoni, Solaiman Shokur, Luca Tonin

FRONTIERS MEDIA SA2023

Theoretical characterization of uncertainty in high-dimensional linear classification

Lenka Zdeborová, Florent Gérard Krzakala, Lucas Andry Clarte

Being able to reliably assess not only the accuracy but also the uncertainty of models' predictions is an important endeavor in modern machine learning. Even if the model generating the data and labels is known, computing the intrinsic uncertainty after le ...

IOP Publishing Ltd2023

GenIE: Generative Information Extraction

Robert West, Maxime Jean Julien Peyrard, Martin Josifoski

Structured and grounded representation of text is typically formalized by closed information extraction, the problem of extracting an exhaustive set of (subject, relation, object) triplets that are consistent with a predefined set of entities and relations ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2022

Majority-based Design Flow for AQFP Superconducting Family

Giovanni De Micheli, Alessandro Tempia Calvino, Siang-Yun Lee, Dewmini Sudara Marakkalage

Adiabatic superconducting devices are promising candidates to develop high-speed/low-power electronics. Advances in physical technology must be matched with a systematic development of comprehensive design and simulation tools to bring superconducting elec ...

IEEE2022

Interactive Lab Experimentation and Simulation Tools for Remote Laboratories

Denis Gillet, Christophe Salzmann, Yves Henri Philippe Piguet

New extensions and features to the remote laboratories currently used for undergraduate courses in automatic control laboratory at the School of Engineering of University of Applied Sciences and Arts Western Switzerland are presented. This paper shows how ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Special Section: Reevaluating Markets for Information

Thomas Alois Weber

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2022

Editorial issue 32.5

Daniel Thalmann

WILEY2021

Full Key Recovery Side-Channel Attack Against Ephemeral SIKE on the Cortex-M4

Aymeric Genet, Novak Kaluderovic

This paper describes the first practical single-trace side-channel power analysis of SIKE. While SIKE is a post-quantum key exchange, the scheme still relies on a secret elliptic curve scalar multiplication which involves a loop of a double-and-add procedu ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

A computational model applied to myocardial perfusion in the human heart: From large coronaries to microvasculature

Alfio Quarteroni

In this paper we present a mathematical and numerical model for human cardiac perfusion which accounts for the different length scales of the vessels in the coronary tree. Epicardial vessels are represented with fully three-dimensional (3D) fluid-dynamics, ...

2021

Complexity-efficient Fano Decoding of Polarization-adjusted Convolutional (PAC) Codes

Andreas Peter Burg

Polarization-adjusted convolutional (PAC) codes are modified polar codes in which a one-to-one convolutional transformation is employed before the classical polar transform. Fano decoding of PAC codes in the Shannon lecture at ISIT2019 showed an outstandin ...

IEEE2020

Learning Over Multitask Graphs-Part II: Performance Analysis

Ali H. Sayed, Stefan Vlaski, Roula Nassif

Part I of this paper formulated a multitask optimization problem where agents in the network have individual objectives to meet, or individual parameter vectors to estimate, subject to a smoothness condition over the graph. A diffusion strategy was devised ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

WHO and ITU establish benchmarking process for artificial intelligence in health

Marcel Salathé

ELSEVIER SCIENCE INC2019