Vol-3524
urn:nbn:de:0074-3524-3

Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

HITLAML 2023
Human-in-the-Loop Applied Machine Learning 2023

Proceedings of the 1st International Workshop on Human-in-the-Loop Applied Machine Learning (HITLAML 2023)

Belval, Luxembourg, September 4-6, 2023.

Edited by

Bereket Yilma *
Surafel Lakew
Yogesh Virkar
Alina Karakanta ***

* University of Luxembourg, Faculty of Science Technology and Medicine, Maison du Nombre 6, Avenue de la Fonte 4364 Esch-sur-Alzette, Luxembourg
** AWS AI Labs, San Francisco, CA, USA
*** University of Leiden, Faculty of Humanities Leiden Univ Centre for Linguistics LUCL Engels, Arsenaalstraat 1 2311 CT Leiden

Table of Contents

Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning
Amr Gomaa, Bilal Mahdy
Beyond original Research Articles Categorization via NLP
Rosanna Turrisi
Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems
Amr Gomaa, Bilal Mahdy
Monitoring Cyber Peer-Led Team Learning: A Multimodal Human-in-the-loop Approach
Karen DSouza, Pratibha Varma-Nelson, Shiaofen Fang, Snehasis Mukhopadhyay
Real-time Immersive Remote Telerobotics: Highlighting the Benefit of Humans in the Loop and Applying Machine Learning
Yonas Tefera, Yaesol Kim, Joaquin Vila Garcia, Darwin Caldwell, Sara Anastasi, Nikhil Deshpande
VisionChain: Taming Foundational Vision Models for use in the Real World
George Pearse

2023-10-05: submitted by Bereket Yilma, metadata incl. bibliographic data published under Creative Commons CC0
2023-10-26: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|