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Center for Artificial Intelligence and Cybersecurity – AIRI

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Ivan Štajduhar, D.Sc.

Author's Projects

Transversal Skills in Applied Artificial Intelligence (TSAAI)

Machine Learning for Knowledge Transfer in Medical Radiology

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

Computer-Aided Digital Analysis And Classification of Signals

A Network for Gravitational Waves, Geophysics and Machine Learning

Image Processing, Information Engineering & Interdisciplinary Knowledge Exchange

Author's Research Papers

Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer

Building Individual Player Performance Profiles According to Pre-Game Expectations and Goal Difference in Soccer

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?

Modeling Uncertainty in Fracture Age Estimation from Pediatric Wrist Radiographs

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

Augmenting Around-Device Interaction by Geomagnetic Field Built-in Sensor Utilization

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

Automatic Music Transcription for Traditional Woodwind Instruments Sopele

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

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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Latest Projects

Advanced Data Analysis Using Digital Signal Processing and Machine Learning Techniques

Compound Flooding in Coastal Rivers in Present and Future Climate

Data Processing on Graphs

North Adriatic Hydrogen Valley

Data Governance and Intellectual Property Governance in Common European Data Spaces – DGIP-CEDS

Latest Research Papers

Forecasting the Trajectory of Personal Watercrafts Using Models Based on Recurrent Neural Networks

A System for Real-Time Detection of Abandoned Luggage

Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer

Pravna tehnologija (Legal Tech) i njezina (ne)prikladnost za zamjenu pravne struke

Regression-Based Machine Learning Approaches for Estimating Discharge from Water Levels in Microtidal Rivers

Latest News

Arian Skoki defended his doctoral thesis “Data-Driven Assessment of Player Performance and Recovery in Soccer”

Anna Maria Mihel defended her PhD dissertation topic

Prof. dr. sc. Renato Filjar participated at the meeting of the 31st National Space-Based Positioning, Navigation and Timing US Advisory Board

Presentation of the NPOO project Peoplet

Ana Vranković Lacković defended her doctoral thesis

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Center for Artificial Intelligence and Cybersecurity
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University of Rijeka

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