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Center for Artificial Intelligence and Cybersecurity – AIRI

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News

Aiming at Well-Being with Brain Implants: Any Risk of Implanting Unprecedented Vulnerabilities?

10.02.2024

Many experimental brain-computer interfaces (BCIs) are currently being medically tested in paralyzed patients. While the new generations of implantable BCIs move rapidly ahead at trying to increase the patients’ well-being, ethical concerns about their potential effects on patients’ psychological dimensions (e.g. sense of agency and control) are growing. An important ethical concern to explore is […]

Development of computational algorithms based on digital signal processing and artificial intelligence methods with application in modern transport systems

04.12.2023

The project is directed toward developing computational algorithms based on advanced digital signal processing techniques and artificial intelligence methods. The research will particularly focus on the computer-aided analysis of non-stationary signals using two-dimensional quadratic time-frequency distributions, where the improvement in time-frequency resolution and robustness to noise will be thoroughly studied. Moreover, adaptive algorithms for non-stationary […]

DSC Europe: Navigating Soccer Injury Prediction and More!

01.12.2023

Arian Skoki, a Teaching Assistant at the University of Rijeka, enthusiastically reflects on the remarkable experience at the Data Science Conference Europe in Belgrade! 🚀 Immersed in a dynamic community of passionate and knowledgeable individuals, the event provided an excellent platform for Arian to connect with industry peers, fostering a valuable exchange of ideas and […]

INFCON23

30.11.2023

INFCON23 – Scientific gathering of computer science PhD students, November 11 and 12, 2023! 🚀 An incredible showcase of 16+ top PhD researchers from the AIRI Center and invited lectures by Mirjana Kljajić Borštnar, FOV Maribor and Antonija Mandić, University North and presentations of activities at the UNIRI Doctoral School and the Prometej Fund by […]

Retweet Prediction Based on Heterogeneous Data Sources: The Combination of Text and Multilayer Network Features

27.11.2023

Retweet prediction is an important task in the context of various problems, such as information spreading analysis, automatic fake news detection, social media monitoring, etc. In this study, we explore retweet prediction based on heterogeneous data sources. In order to classify a tweet according to the number of retweets, we combine features extracted from the […]

Research presentation in Nitra, Slovakia

11.10.2023

On the 11th of October, 2023, prof. Lerga presented research results and activities of the AIRI Center in Nitra, Slovakia, at the Constantine the Philosopher University.

Is enhancement with brain–computer interfaces ethical? Evidence in favor of symbiotic augmentation

23.06.2023

This book chapter clarifies the unique status of BCI enhancement as symbiotic augmentation based on three distinct characteristics, which we derive from evidence pertaining to empirical cases of implanted patients…This chapter clarifies the concept of symbiotic augmentation and shows how the symbiotic ethical framework aids the users to coherently integrate the changes to personal self-understanding, […]

Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time–Frequency Distributions with Application in EEG Seizure Signals Analysis

04.06.2023

Instantaneous frequency (IF) is commonly used in the analysis of electroencephalogram (EEG) signals to detect oscillatory-type seizures. However, IF cannot be used to analyze seizures that appear as spikes. In this paper, we present a novel method for the automatic estimation of IF and group delay (GD) in order to detect seizures with both spike […]

Sparse Time-Frequency Distribution Reconstruction Using the Adaptive Compressed Sensed Area Optimized with the Multi-Objective Approach

04.06.2023

Compressive sensing (CS) of the signal ambiguity function (AF) and enforcing the sparsity constraint on the resulting signal time-frequency distribution (TFD) has been shown to be an efficient method for time-frequency signal processing. This paper proposes a method for adaptive CS-AF area selection, which extracts the magnitude-significant AF samples through a clustering approach using the […]

Robots as moral environments

26.04.2023

In this philosophical exploration, we investigate the concept of robotic moral environment interaction. The common view understands moral interaction to occur between agents endowed with ethical and interactive capacities. However, recent developments in moral philosophy argue that moral interaction also occurs in relation to the environment. Here conditions and situations of the environment contribute to […]

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Latest Projects

Predicting Anomalous Trajectories Using Machine Learning

Adaptive Algorithms for Integrating Compressive Sensing with Deep Learning

Deep Learning for Smart Energy Systems Management

Advanced Data Analysis Using Digital Signal Processing and Machine Learning Techniques

Compound Flooding in Coastal Rivers in Present and Future Climate

Latest Research Papers

Deep Unfolding ADMM Network for CS Image Reconstruction with Long-Short Term Residuals

XDT-FMARL: An Explainable Federated Multi-Agent Reinforcement Learning Framework for Energy-Efficient IoT Task Offloading

Proactive Context Aware Task Offloading in Digital Twin Driven Federated IoT Systems with Large Language Models

Pretraining and evaluation of BERT models for climate research

Digital Twin-Driven Federated Learning and Reinforcement Learning-Based Offloading for Energy-Efficient Distributed Intelligence in IoT Networks

Latest News

LIVE Quantum project kick-off meeting

Pretraining and evaluation of BERT models for climate research

Invited lecture: “About the first GPS receiver on the Moon, and the other NASA space PNT stories” by James J. Miller (NASA)

Agreement on collaboration between the Faculty of Engineering in Rijeka and the Shanghai Artificial Intelligence Research Institute

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

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Center for Artificial Intelligence and Cybersecurity
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