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An Application of Artificial Intelligence and Genetic Algorithm to Support the Discovering of Roman Centuriation Remains
Methodologies and technologies for uncovering archaeological ruins and objects have been advanced by the utilization of Artificial Intelligence (AI)....
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GeomEthics: Ethical Considerations About Using Artificial Intelligence in Geomatics
Artificial intelligence (AI) has made significant advancements in the field of geomatics, revolutionizing the way geospatial data is processed,...
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Feature Relevance in Classification of 3D Stone from Ancient Wall Structures
The increasing availability of quantitative data in archaeological studies has prompted the research of Machine Learning methods to support...
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Assessing the Robustness and Reproducibility of CT Radiomics Features in Non-small-cell Lung Carcinoma
The aim of this study was to investigate the robustness of radiomics features extracted from computed tomography (CT) images of patients affected by...
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Prediction of High Pathological Grade in Prostate Cancer Patients Undergoing [18F]-PSMA PET/CT: A Preliminary Radiomics Study
The aim of this study was to evaluate the effectiveness of [18F]-prostate-specific membrane antigen (PSMA) positron emission tomography/computed...
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Experience Sharing and Human-in-the-Loop Optimization for Federated Robot Navigation Recommendation
Mobile robot navigation in unknown, dynamic, hostile and/or crowded environments is a challenging task, especially when it comes to multi-robot...
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Synthetic Lines from Historical Manuscripts: An Experiment Using GAN and Style Transfer
Given enough data of sufficient quality, HTR systems can achieve high accuracy, regardless of language, script or medium. Despite growing pooling of...
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Grading and Staging of Bladder Tumors Using Radiomics Analysis in Magnetic Resonance Imaging
Aim of this study was to evaluate the performance of MRI radiomics analysis in distinguishing low-grade (LG) versus high-grade (HG) bladder lesions...
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Classification of Turkish and Balkan House Architectures Using Transfer Learning and Deep Learning
Classifying architectural structures is an important and challenging task that requires expertise. Convolutional Neural Networks (CNN), which are a...
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Editable Stain Transformation of Histological Images Using Unpaired GANs
Double staining in histopathology is done to help identify tissue features and cell types differentiated between two tissue samples using two...
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Convolutional Generative Model for Pixel–Wise Colour Specification for Cultural Heritage
Colour specification can be carried out using different instruments or tools. The biggest limitation of these existing instruments consists of the...
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Vertebrate Ichnofossils and Paleoenvironments
Ichnofossils or trace fossils are indirect evidence of biological activity. Vertebrate ichnofossils include footprints, trails, burrows, predation...
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Examining the Robustness of an Ensemble Learning Model for Credibility Based Fake News Detection
Ensemble learning is a technique of combining multiple base machine learning models and using the blended results as the final classification output....
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Amphibians Environmental Dependence and Their Use in Paleoecological Reconstructions
The reproductive and physiological amphibians’ needs are strongly influenced by rainfall and water availability. Temperature is another important...
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An Integrated System for Spatio-temporal Summarization of 360-Degrees Videos
In this work, we present an integrated system for spatio-temporal summarization of 360-degrees videos. The video summary production involves the...
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VISIONE 5.0: Enhanced User Interface and AI Models for VBS2024
In this paper, we introduce the fifth release of VISIONE, an advanced video retrieval system offering diverse search functionalities. The user can...
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Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search
An important open problem in video retrieval and exploration concerns the generation and refinement of queries for complex tasks that standard...
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Using Saliency and Crop** to Improve Video Memorability
Video memorability is a measure of how likely a particular video is to be remembered by a viewer when that viewer has no emotional connection with...
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A Lightweight Local Attention Network for Image Super-Resolution
For many years, deep neural networks have been used for Single Image Super-resolution (SISR) tasks. However, more extensive networks require higher...
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Cross-Modal Semantic Alignment Learning for Text-Based Person Search
Text-based person search aims to retrieve pedestrian images corresponding to a specific identity based on a textual description. Existing methods...