Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study
This study explores the integration of real-world machine learning (ML) projects using
human-computer interfaces (HCI) datasets in college-level courses to enhance both …
human-computer interfaces (HCI) datasets in college-level courses to enhance both …
Advancing EEG-based gaze prediction using depthwise separable convolution and enhanced pre-processing
In the field of EEG-based gaze prediction, the application of deep learning to interpret
complex neural data poses significant challenges. This study evaluates the effectiveness of …
complex neural data poses significant challenges. This study evaluates the effectiveness of …
[HTML][HTML] Evaluating and accelerating vision transformers on GPU-based embedded edge AI systems
I Martin-Salinas, JM Badia, O Valls, G Leon… - The Journal of …, 2025 - Springer
Many current embedded systems comprise heterogeneous computing components
including quite powerful GPUs, which enables their application across diverse sectors. This …
including quite powerful GPUs, which enables their application across diverse sectors. This …
Optimizing Self-paced Learning in Machine Learning Education for Working Professionals: Strategies, Trends, and Insights
P Liu - International Conference on Human-Computer …, 2025 - Springer
As the demand for flexible Machine Learning (ML) education grows among working
professionals, optimizing self-paced learning models becomes crucial. This study …
professionals, optimizing self-paced learning models becomes crucial. This study …
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures
Electroencephalography (EEG) analysis is an important domain in the realm of Brain-
Computer Interface (BCI) research. To ensure BCI devices are capable of providing practical …
Computer Interface (BCI) research. To ensure BCI devices are capable of providing practical …
Refining Human-Data Interaction: Advanced Techniques for EEGEyeNet Dataset Precision
The EEGEyeNet dataset merges EEG data with eye-tracking technology to advance
cognitive research at the intersection of brain dynamics and eye movement. By developing …
cognitive research at the intersection of brain dynamics and eye movement. By developing …
[PDF][PDF] Optimizing Multichannel EEG Data: An Investigation of Current EEG Data Compression Methods
In this paper, we utilized a systematic literature review scheme to understand the current
methods utilized to compress multichannel Electroencephalography (EEG) signals and how …
methods utilized to compress multichannel Electroencephalography (EEG) signals and how …
[PDF][PDF] Enhancing EEG Data Quality: A Comprehensive Review of Outlier Detection and Cleaning Methods
Electroencephalography (EEG) is a crucial tool in neuroscience and clinical diagnostics,
offering valuable insights into brain function. However, EEG data is often marred by noise …
offering valuable insights into brain function. However, EEG data is often marred by noise …
[图书][B] HCI International 2024–Late Breaking Papers: 26th International Conference on Human-Computer Interaction, HCII 2024, Washington, DC, USA, June 29–July …
A Marcus - books.google.com
Nowadays, most people spend several hours watching a computer screen for work or for
entertainment. Prolonged use of a computer display is not without consequence on health …
entertainment. Prolonged use of a computer display is not without consequence on health …
[PDF][PDF] Advancing EEG-Based Gaze Prediction: Depthwise Separable Convolution and Pre-Processing Enhancements in EEGViT
ML Key, T Mehtiyev, X Qu - researchgate.net
In the field of EEG-based gaze prediction, the application of deep learning to interpret
complex neural data poses significant challenges. This study evaluates the effectiveness of …
complex neural data poses significant challenges. This study evaluates the effectiveness of …