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Titlebook: Intelligent Technologies for Interactive Entertainment; 10th EAI Internation Paulo Cortez,Luís Magalh?es,Telmo Ad?o Conference proceedings

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樓主: GRASS
21#
發(fā)表于 2025-3-25 05:56:10 | 只看該作者
22#
發(fā)表于 2025-3-25 10:56:38 | 只看該作者
A Many-Valued Empirical Machine for Thyroid Dysfunction Assessmentathology condition due to the high incidence of hypothyroidism and hyperthyroidism, which is becoming a serious health problem requiring a detailed study for early diagnosis and monitoring. Understanding the prevalence and risk factors of thyroid disease can be very useful to identify patients for s
23#
發(fā)表于 2025-3-25 12:55:55 | 只看該作者
Detecting Automatic Patterns of Stroke Through Text Miningtematic pattern. For instance, besides the structured admission notes format, there are free text fields for clinicians’ patient evaluation observation. Intelligent Decisions Support Systems can benefit from cross-referencing and interpretation of these documents. In the Intensive Care Units, severa
24#
發(fā)表于 2025-3-25 19:07:07 | 只看該作者
25#
發(fā)表于 2025-3-25 22:17:31 | 只看該作者
Virtual Agents for Professional Social Skills Training: An Overview of the State-of-the-Arts. However, as a result of the rapid developments in human-computer interaction, there has been an increasing interest in the use of computers for training of social and communicative skills. This type of training offers opportunities to complement traditional training methods with a novel paradigm
26#
發(fā)表于 2025-3-26 02:15:31 | 只看該作者
A Machine Learning Approach to Detect Violent Behaviour from Videois paper, we propose a machine learning approach, based a Support Vector Machine (SVM), to detect if a human action, captured on a video, is or not violent. Using a pose estimation algorithm, we focus mostly on feature engineering, to generate the SVM inputs. In particular, we hand-engineered a set
27#
發(fā)表于 2025-3-26 08:19:05 | 只看該作者
28#
發(fā)表于 2025-3-26 09:34:01 | 只看該作者
Exploring Novel Methodology for Classifying Cognitive Workloadeasurement technique, with application in a range of Human Factors and Human-Computer Interaction contexts. We employ novel methodologies, including signal processing, machine learning and genetic algorithms, to classify Galvanic Skin Response/Electrodermal Activity (GSR/EDA) signals during performa
29#
發(fā)表于 2025-3-26 14:59:22 | 只看該作者
Scene Reconstruction for Storytelling in 360, Videossince the user may look to where he wants. This paper presents the concept and first steps towards the development of a framework that provides a workflow for storytelling in 360-degrees videos. With the proposed framework it will be possible to connect a sound to a source and taking advantage of bi
30#
發(fā)表于 2025-3-26 20:27:03 | 只看該作者
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