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Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease
Inflammatory bowel disease is a chronic disease of unknown cause that can affect the entire gastrointestinal tract, from the mouth to the anus. It is...
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Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves
Shelf auditing holds significant importance within the retail industry’s industrial sector. It encompasses various processes carried out by human...
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Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification
Covid-19 is a serious disease caused by the Sars-CoV-2 virus that has been first reported in China at late 2019 and has rapidly spread around the...
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IR-Guided Energy Optimization Framework for Depth Enhancement in Time of Flight Imaging
This paper introduces an optimization energy framework based on infrared guidance to improve depth consistency in Time of Flight image systems. The...
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Seabream Freshness Classification Using Vision Transformers
Many different cultures and countries have fish as a central piece in their diet, particularly in coastal countries such as Portugal, with the...
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Self-supervised Monocular Depth Estimation on Unseen Synthetic Cameras
Monocular depth estimation is a critical task in computer vision, and self-supervised deep learning methods have achieved remarkable results in...
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Facial Point Graphs for Stroke Identification
Stroke can cause significant damage to neurons, resulting in various sequelae that negatively impact the patient’s ability to perform essential daily...
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Single Image HDR Synthesis with Histogram Learning
High dynamic range imaging aims for a more accurate representation of the scene. It provides a large luminance coverage to yield the human perception...
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The Gamification Elements Speech-Language Pathologists Use to Motivate Children for Speech Therapy Training
Motivation is an important factor in paediatric speech therapy. Rehabilitation is often long-term work that requires many repetitions and home...
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Inside the System - Designing VR Serious Games for Computer Science Education
This paper argues, that VR learning games are a promising approach to build motivating interactive learning experiences for abstract learning content...
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BlendMaster: A Collaborative Board Game for Training Teachers in Blended Learning
Blended learning (BL) combines face-to-face and computer-aided resources, promoting students’ engagement and independence. However, teachers may...
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What Can You Do with a Sword? Gender Biases in Text Game Affordances
Game mechanics can be viewed in terms of affordances: possible actions offered by the environment—depending on the agent (e.g., in a fantasy...
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Browser-Based Game Design for Cognitive Effort Aware Quality of Experience Evaluation
Cognitive effort plays a crucial part in our multimedia consumption experience as it affects attention. However, traditional research in quality of...
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Towards a Competitive Two-Player Anti-phishing Learning Game
This paper explores the design and implementation of a competitive two-player anti-phishing learning game on the topic of phishing emails, aiming to...
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ECG Feature-Based Classification of Induced Pain Levels
Appropriate pain treatment relies on an accurate assessment of pain. Limitations regarding subjective reporting of pain or observational bias, when...
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Analytic Algorithm for Predicting Diabetes Based on GSDRC-Stacking-Anchor Model
“How to prevent diabetes” has become a global issue that is addressed as the incidence of diabetes keeps rising quickly and the number of deaths from...
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Visual Question Answering System for Skeletal Images Based on Feature Extraction Using Faster RCNN and Kai-Bi-LSTM Techniques
The human life cycle is becoming more intelligent in the present era of technology, and it is expanding quickly in many areas, particularly in...
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Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification
Class imbalance is a common problem in (binary) classification problems. It appears in many application domains, such as text classification, fraud...
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Good Negative Sampling for Triple Classification
Knowledge graphs are large and useful sources widely used for natural question answering, Web search and data analytics. They describe facts about a...