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Multi-objective Evolutionary Algorithm Based on Decomposition to Solve the Bi-objective Internet Shop** Optimization Problem (MOEA/D-BIShOP)
The main contribution of this paper is to develop a new solution method applied to the bi-objective Internet shop** problem. The first objective of...
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Can We Take Out CARLA from the Uncanny Valley? Analyzing Avatar Design of an Educational Conversational Agent
The integration of conversational agents into virtual-reality educational environments holds immense promise. However, the uncanny valley phenomenon...
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Time Distributed Multiview Representation for Speech Emotion Recognition
In recent years, speech-emotion recognition (SER) techniques have gained importance, mainly in human-computer interaction studies and applications....
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Spatial-Temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions
Automatic surgical skill assessment has the capacity to bring a transformative shift in the assessment, development, and enhancement of surgical...
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Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices
Automatic Sign Language Recognition (SLR) is a critical step in facilitating communication between deaf and hearing people. An interesting...
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Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network
This paper evaluated the impact of synthetic images on Morphing Attack Detection (MAD) using a Siamese network with a semi-hard-loss function. Intra...
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Feature Importance for Clustering
The literature on cluster analysis methods evaluating the contribution of features to the emergence of the cluster structure for a given clustering...
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Uncovering Manipulated Files Using Mathematical Natural Laws
The data exchange between different sectors of society has led to the development of electronic documents supported by different reading formats,...
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Towards Robust Defect Detection in Casting Using Contrastive Learning
Defect detection plays a vital role in ensuring product quality and safety within industrial casting processes. In these dynamic environments, the...
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Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks
Text classification is a fundamental task in Text Mining (TM) with applications ranging from spam detection to sentiment analysis. One of the current...
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Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry
Online adaptation is a promising paradigm that enables dynamic adaptation to new environments. In recent years, there has been a growing interest in...
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Fast, Memory-Efficient Spectral Clustering with Cosine Similarity
Spectral clustering is a popular and effective method but known to face two significant challenges: scalability and out-of-sample extension. In this...
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Graph-Based Feature Learning from Image Markers
Deep learning methods have achieved impressive results for object detection, but they usually require powerful GPUs and large annotated datasets. In...
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Development and Testing of an MRI-Compatible Immobilization Device for Head and Neck Imaging
MRI imaging with long acquisition times is prone to motion artifacts that can compromise image quality and lead to misinterpretation. Aiming to...
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Classify NIR Iris Images Under Alcohol/Drugs/Sleepiness Conditions Using a Siamese Network
This paper proposes a biometric application for iris capture devices using a Siamese network based on an EfficientNetv2 and a triplet loss function...
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The Influence of Personality Traits and Game Design Elements on Player Enjoyment: An Empirical Study on GWAPs for Linguistics
The present research investigates the effects of Personality Traits (PTs) and Game Design Elements (GDEs) on Player Enjoyment (PE) in the context of...
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EscapeCell: Serious Game Integration to a University Biology Course on an E-Learning Platform
This paper presents EscapeCell, a Serious Game to help undergraduate students understand plant cellular biology. Each course chapter is enriched with...
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A Game Design-Centric Taxonomy for Feedback Features in Digital Serious Games
As with other pedagogical approaches, feedback is crucial in digital game-based learning, providing information to players and impacting their...
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Using Meaningful Choices and Uncertainty to Increase Player Agency in a Cybersecurity Seminar Game
The paper proposes an approach to improving player engagement and learning outcomes in seminar-style games, based on emphasizing player agency,...
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A Security-Focused Architecture for Gameplay Telemetry in Serious Games
Serious games are a promising approach for diagnostic and therapeutic as well as educational purposes. Capturing player performance and behavior...