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Centre for Artificial Intelligence and Cybersecurity – AIRI

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Research Papers

Comparison of Entropy and Dictionary Based Text Compression in English, German, French, Italian, Czech, Hungarian, Finnish, and Croatian

01.07.2020

The rapid growth in the amount of data in the digital world leads to the need for data compression, and so forth, reducing the number of bits needed to represent a text file, an image, audio, or video content. Compressing data saves storage capacity and speeds up data transmission. In this paper, we focus on […]

Does AI Brain Implant Compromise Agency? Examining Potential Harms of Brain-Computer Interfaces on Self-Determination

01.07.2020

Novel generations of Brain-Computer Interface (BCI) technologies operated by AI, in particular, predictive neurotechnologies, offer enormous potential to support implanted individuals’ decisions and capacities for self-determination, such as empowering agential cognitive capacities. This chapter examines the ethics of predictive AI BCI, especially the question of potential risks of harm associated with having a predictive AI […]

Informed consent, military medical enhancement, and autonomous AI systems: requirements, implications, concerns

01.07.2020

Inspired by the recent development of autonomous artificial intelligence (AI) systems inmilitary and medical applications I envision the use of one such system, an AI-empowered exoskeleton smart-suit called the Praetor Suit, to question the important ethical issues stemming from its use. The Praetor Suit would have the ability to monitor the service member’s physiological and […]

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

17.06.2020

This study describes a deep convolutional neural network (CNN) based technique to predict intensity measurements (IMs) of earthquake ground shaking. The input data to the CNN model consists of multistation, 3C acceleration waveforms recorded during the 2016 Central Italy earthquake sequence for M ≥ 3.0 events. Using a 10 s window starting at the earthquake origin time, we find […]

Corpus-Based Paraphrase Detection Experiments and Review

11.05.2020

Paraphrase detection is important for a number of applications, including plagiarism detection, authorship attribution, question answering, text summarization, text mining in general, etc. In this paper, we give a performance overview of various types of corpus-based models, especially deep learning (DL) models, with the task of paraphrase detection. We report the results of eight models […]

A Novel Approach to Extracting Useful Information From Noisy TFDs Using 2D Local Entropy Measures

25.04.2020

The paper proposes a novel approach for extraction of useful information and blind source separation of signal components from noisy data in the time-frequency domain. The method is based on the local Rényi entropy calculated inside adaptive, data-driven 2D regions, the sizes of which are calculated utilizing the improved, relative intersection of confidence intervals (RICI) […]

Time-dependent numerical model for simulating internal oscillations in a sea organ

09.04.2020

This paper presents a one-dimensional time-dependent numerical model of a sea organ, which generates music driven by the motion of the sea. The governing equations are derived by coupling hydrodynamic and thermodynamic equations for water level and air pressure oscillations in a sea organ pipe system forced by irregular waves. The model was validated by […]

Towards a Cyber Secure Shipboard Radar

05.04.2020

This paper presents a comparative cyber security resilience estimation of shipboard radars that are implemented on two oil/chemical tankers certified as SOLAS ships. The estimated radars were chosen from the same manufacturer, but belonged to different generations. The estima- tion was conducted by means of ships’ crew interviews and computational testing of the radars using […]

Raising Awareness on Cyber Security of ECDIS

03.04.2020

In the maritime transport, the Electronic Chart Display and Information System (ECDIS) has been developed into a complex computer-based ship critical operational technology system, playing central roles in the safe ship navigation and transport. While ECDIS software maintenance is regulated by the International Maritime Organization (IMO) ECDIS performance standards and related circulars, underlying software and […]

Automatic Annotation of Narrative Radiology Reports

01.04.2020

Narrative texts in electronic health records can be efficiently utilized for building decision support systems in the clinic, only if they are correctly interpreted automatically in accordance with a specified standard. This paper tackles the problem of developing an automated method of labeling free-form radiology reports, as a precursor for building query-capable report databases in […]

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Latest Projects

Machine Learning for Knowledge Transfer in Medical Radiology

Estimating River Discharges in Highly Stratified Estuaries

Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis (InfoCoV)

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

National Competence Centres in the Framework of EuroHPC (EUROCC)

Latest Research Papers

A Comparison of Approaches for Measuring the Semantic Similarity of Short Texts Based on Word Embeddings

Indoor Localization Based on Infrared Angle of Arrival Sensor Network

Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of Intersection of Confidence Intervals Rule

Survey of Neural Text Representation Models

Je li blockchain tehnologija budućnost digitalizacije zemljišnih knjiga?

Latest News

UNIRI Excellence Awards in Science

Talk on conference “Exploring Digital Legal Landscapes”

ICAIH 2020 conference presentation

International conference “Exploring Digital Legal Landscapes” – 11th of December, 2020

Sanda Martinčić-Ipšić talk the Data Science Conference

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Center for Artificial Intelligence and Cybersecurity
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