Machine Learning Laboratory

Machine Learning Laboratory deals with numerous challenges in several fields, by developing and integrating suitable data-driven machine learning solutions to perceived problems.

Machine Learning Laboratory

Transversal Skills in Applied Artificial Intelligence (TSAAI)

Machine Learning for Knowledge Transfer in Medical Radiology

European Network for assuring food integrity using non-destructive spectral sensors

National Competence Centres in the Framework of EuroHPC (EUROCC)

Hyperspectral Image Analysis Using Machine Learning and Adaptive Data-Driven Filtering

Development of machine-learning-based techniques for illness and injury detection in medical images

Computer-Aided Digital Analysis And Classification of Signals

A Network for Gravitational Waves, Geophysics and Machine Learning

Image Processing, Information Engineering & Interdisciplinary Knowledge Exchange

Fracture Recognition in Paediatric Wrist Radiographs: An Object Detection Approach

Rapid extraction of skin physiological parameters from hyperspectral images using machine learning

Extended Energy-Expenditure Model in Soccer: Evaluating Player Performance in the Context of the Game

A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems

The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data

Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?

Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data

Cast suppression in radiographs by generative adversarial networks

Deep Semi-Supervised Algorithm for Learning Cluster-Oriented Representations of Medical Images Using Partially Observable DICOM Tags and Images

XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification

Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network

Automatic Annotation of Narrative Radiology Reports

Adaptive Filtering and Analysis of EEG Signals in the Time-Frequency Domain Based on the Local Entropy

Automatic Music Transcription for Traditional Woodwind Instruments Sopele

Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection

Adaptive State Estimator With Intersection of Confidence Intervals Based Preprocessing

Mirroring Quasi-Symmetric Organ Observations for Reducing Problem Complexity

Semi-automated detection of anterior cruciate ligament injury from MRI

Uncensoring censored data for machine learning: A likelihood-based approach

Learning Bayesian networks from survival data using weighting censored instances

Impact of censoring on learning Bayesian networks in survival modelling

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University of Rijeka

About the Center

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