Automated Carnegie Staging of the Human Embryo in 3D Ultrasound using Deep Learning

Meta-learning for few-shot on-chip sequence classification

Preoperative assessment of the histopathological growth patterns of colorectal liver metastasis on CT using artificial intelligence

Leveraging Related Datasets to Improve Model Performance on an Underrepresented Target Population

Does text matter?: Extending CLIP with OCR and NLP for image classification and retrieval

Feature extraction and classification on heart rate time series for cardiovascular diseases

Classification of primary liver tumors with radiomics and deep learning based on multiphasic MRI

Vulnerability prealerting by monitoring the online repositories of open source projects

An Empirical Assessment on the Limits of Binary Code Summarization with Transformer-based Models

Model-specific Explainable Artificial Intelligence techniques: State-of-the-art, Advantages and Limitations

Explainable Artificial Intelligence Techniques for the Analysis of Reinforcement Learning in Non-Linear Flight Regimes

Digital Soil Mapping based on PDFs of Cone Penetration Tests and Vibro Cores using Image Processing and Machine Learning

Machine and deep learning models for vehicle routing problems: a literature review

Pedestrian Detection and Tracking for Mobile Robots in Human Environments

Reinforcement Learning approach for decision-making in driver control shifting for semi-autonomous driving

The future of interventional cardiology: Machine learning algorithms for solving diagnostic and therapeutic challenges

Automated railway object mapping using imagery and point clouds

Phon Times: Improving Dutch phoneme recognition

Reinforcement Learning for Profiled Side-Channel Analysis: Applications of Q-Learning in the SCA Domain

SCIPoC: Semantic Classification of Indoor Point Cloud: A study into the possibilities of classifying indoor point cloud using a Deep Learning approach