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Integrated Method for Personal Thermal Comfort Assessment and Optimization through Users' Feedback, IoT and Machine Learning: A Case Study †. [PDF]
Sensors (Basel), 2018 Thermal comfort has become a topic issue in building performance assessment as well as energy efficiency. Three methods are mainly recognized for its assessment.
Salamone F +8 more
europepmc +2 more sources
Updating Model of Software Component Trustworthiness Based on Users Feedback
IEEE Access, 2019 The software trustworthiness measurement is one of the hot topics. Software component technology is the mainstream technology of software development.
Baohua Wang +3 more
doaj +2 more sources
TraduXio Project: Latest Upgrades and Feedback [PDF]
Journal of Data Mining and Digital Humanities, 2021 International audience TraduXio is a digital environment for computer assisted multilingual translation which is web-based, free to use and with an open source code.
Philippe Lacour, Aurélien Bénel
doaj +3 more sources
Personalized optimization with user’s feedback [PDF]
Automatica, 2021 This paper develops an online algorithm to solve a time-varying optimization problem with an objective that comprises a known time-varying cost and an unknown function. This problem structure arises in a number of engineering systems and cyber-physical systems where the known function captures time-varying engineering costs, and the unknown function ...
Simonetto, Andrea +3 more
openaire +3 more sources
Users’ Feedback about a Digital Well-being System [PDF]
European Journal of Interdisciplinary Studies, 2022 In this research, we investigated the users’ feedback to understand the requirements of Turkish users of a digital well-being system which maximizes users’ happiness.
Esra KAHYA ÖZYİRMİDOKUZ +2 more
doaj +1 more source
COM-MABs: From Users' Feedback to Recommendation
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Recently, the COMbinatorial Multi-Armed Bandits (COM-MAB) problem has arisen as an active research field. In systems interacting with humans, those reinforcement learning approaches use a feedback strategy as their reward function.
Alexandre Letard +3 more
doaj +1 more source
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback [PDF]
International Conference on Learning Representations, 2023 To solve complex tasks, large language models (LLMs) often require multiple rounds of interactions with the user, sometimes assisted by external tools. However, current evaluation protocols often emphasize benchmark performance with single-turn exchanges,
Xingyao Wang +6 more
semanticscholar +1 more source
IEEE Access, 2023 Waiting is an indispensable and inevitable part of man-machine voice interaction. The voice user interface (VUI) feedback mechanism is a key factor affecting voice interaction’s waiting experience.
Junfeng Wang +4 more
doaj +1 more source
PaaS platform comparison based on users feedback
Journal of Computer Sciences Institute, 2023 This article presents a description of the opinion study about SalesForce and ServiceNow platforms. These are modern PaaS (Platform as a Service) environments that are gaining more and more popularity.
Mateusz Saputa +2 more
doaj +1 more source
HIVE: Harnessing Human Feedback for Instructional Visual Editing [PDF]
Computer Vision and Pattern Recognition, 2023 Incorporating human feedback has been shown to be crucial to align text generated by large language models to human preferences. We hypothesize that state-of-the-art instructional image editing models, where outputs are generated based on an input image ...
Shu Zhang +11 more
semanticscholar +1 more source