A. Jović

发表

Investigation of Relationships between Discrete and Dimensional Emotion Models in Affective Picture Databases Using Unsupervised Machine Learning

M. Horvat, A. Jović, K. Burnik, 2022, Applied Sciences.

Accurate Detection of Dementia from Speech Transcripts Using RoBERTa Model

A. Jović, Lovro Matosevic, 2022, 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO).

Information on Drivers’ Sex Improves EEG-Based Drowsiness Detection Model

M. Cifrek, K. Friganovic, M. Z. Zeba, 2022, Applied Sciences.

A review of feature selection methods with applications

Nikola Bogunovic, Karla Brkic, Alan Jovic, 2015, 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Assessing the Robustness of Cluster Solutions in Emotionally-Annotated Pictures Using Monte-Carlo Simulation Stabilized K-Means Algorithm

Alan Jovic, Marko Horvat, Kristijan Burnik, 2021, Mach. Learn. Knowl. Extr..

Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features

Nikola Bogunovic, Alan Jovic, N. Bogunovic, 2011, Artif. Intell. Medicine.

Biomedical time series preprocessing and expert-system based feature extraction in MULTISAB platform

Kresimir Friganovic, Alan Jovic, Davor Kukolja, 2017, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

A Novel Way of Integrating Rule-Based Knowledge into a Web Ontology Language Framework

Dragan Gamberger, Alan Jovic, Goran Krstaçic, 2013, EFMI-STC.

A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems

Mario Cifrek, Alan Jovic, Igor Stancin, 2021, Sensors.

EEG Signal Multichannel Frequency-Domain Ratio Indices for Drowsiness Detection Based on Multicriteria Optimization

M. Cifrek, A. Jović, Igor Stancin, 2021, Sensors.

Detection of congestive heart failure from short-term heart rate variability segments using hybrid feature selection approach

Alan Jovic, Karla Brkic, Goran Krstacic, 2019, Biomed. Signal Process. Control..

Classification of cardiac arrhythmias based on alphabet entropy of heart rate variability time series

Alan Jovic, Franjo Jovic, F. Jovic, 2017, Biomed. Signal Process. Control..

Automatic classifier based on heart rate variability to identify fallers among hypertensive subjects.

Paolo Melillo, Leandro Pecchia, Alan Jovic, 2015, Healthcare technology letters.

Automatic Prediction of Falls via Heart Rate Variability and Data Mining in Hypertensive Patients: The SHARE Project Experience

Stephen P. Morgan, Paolo Melillo, Leandro Pecchia, 2015 .

Extension and detailed overview of the HRVFrame framework for heart rate variability analysis

Nikola Bogunovic, Alan Jovic, Marko Cupic, 2013, Eurocon 2013.

Decision Tree Ensembles in Biomedical Time-Series Classification

Nikola Bogunovic, Alan Jovic, Karla Brkic, 2012, DAGM/OAGM Symposium.

Evaluating and comparing performance of feature combinations of heart rate variability measures for cardiac rhythm classification

Nikola Bogunovic, Alan Jovic, N. Bogunovic, 2012, Biomed. Signal Process. Control..

FTIR‐ATR adulteration study of hempseed oil of different geographic origins

Ozren Jović, A. Jović, 2017 .

An energy efficient corn grains drying process

F. Jovic, S. Pliestić, K. Nenadić, 2014 .

The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations

Annelie Heuser, Shivam Bhasin, Francesco Regazzoni, 2018, IACR Cryptol. ePrint Arch..

Cardiac Arrhythmia Classification from 12-lead Electrocardiogram Using a Combination of Deep Learning Approaches

A. Jović, Marko Barisic, 2022, International Convention on Information and Communication Technology, Electronics and Microelectronics.

Lift Charts-Based Binary Classification in Unsupervised Setting for Concept-Based Retrieval of Emotionally Annotated Images from Affective Multimedia Databases

Marko Horvat, Alan Jovic, Danko Ivosevic, 2020, Inf..

Feature extraction from electroencephalographic records using EEGFrame framework

Nikola Bogunovic, Alan Jovic, Lea Suc, 2013, 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Classification of biological signals based on nonlinear features

Nikola Bogunovic, Alan Jovic, N. Bogunovic, 2010, Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference.

An overview of free software tools for general data mining

N. Bogunovic, A. Jovic, K. Brkic, 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Challenges in Designing Software Architectures for Web-Based Biomedical Signal Analysis

Mario Cifrek, Kresimir Friganovic, Alan Jovic, 2018, Medical Big Data and Internet of Medical Things.

Optimizing the Detection of Characteristic Waves in ECG Based on Processing Methods Combinations

Mario Cifrek, Kresimir Friganovic, Alan Jovic, 2018, IEEE Access.

Optimizing the detection of characteristic waves in ECG based on exploration of processing steps combinations

Goran Krstačić, Mario Cifrek, Kresimir Friganovic, 2017 .

MULTISAB project: a web platform based on specialized frameworks for heterogeneous biomedical time series analysis - an architectural overview

Mario Cifrek, Kresimir Friganovic, Alan Jovic, 2017 .

DICOM SIVR: A web architecture and platform for seamless DICOM image and volume rendering

Z. Mihajlovic, A. Jović, Kresimir Jozic, 2022, SoftwareX.

Profiled SCA with a New Twist: Semi-supervised Learning

Axel Legay, Annelie Heuser, Stjepan Picek, 2017, IACR Cryptol. ePrint Arch..

A Systematic Evaluation of Profiling Through Focused Feature Selection

Lejla Batina, Annelie Heuser, Stjepan Picek, 2019, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

On the Relevance of Feature Selection for Profiled Side-channel Attacks

Axel Legay, Annelie Heuser, Stjepan Picek, 2017 .

The secrets of profiling for side-channel analysis: feature selection matters

Axel Legay, Lejla Batina, Annelie Heuser, 2017, IACR Cryptol. ePrint Arch..

CASSED: Context-based Approach for Structured Sensitive Data Detection

A. Jović, Marko Barisic, A. Petric, 2023, Expert Syst. Appl..

Side-channel analysis and machine learning: A practical perspective

Sylvain Guilley, Nele Mentens, Annelie Heuser, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Climbing Down the Hierarchy: Hierarchical Classification for Machine Learning Side-Channel Attacks

Axel Legay, Annelie Heuser, Stjepan Picek, 2017, AFRICACRYPT.

Improving Side-Channel Analysis Through Semi-supervised Learning

Annelie Heuser, Stjepan Picek, Alan Jovic, 2018, CARDIS.

A Survey of Word Embedding Algorithms for Textual Data Information Extraction

Alan Jovic, Vjeko Kuzina, Eugen Vusak, 2021, 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO).

An overview and comparison of free Python libraries for data mining and big data analysis

Alan Jovic, Igor Stancin, A. Jović, 2019, 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Medical Plans as a Middle Step in Building Heart Failure Expert System

Goran Krstačić, Alan Jovic, Marin Prcela, 2007 .

Processing and Analyisis of Biomedical Nonlinear Signals by Data Mining Methods

A. Jovic, N. Bogunovic, A. Jović, 2010 .

Publicly Available Datasets for Predictive Maintenance in the Energy Sector: A Review

A. Jović, M. Cupic, Eda Jovičić, 2023, IEEE Access.

A web platform for analysis of multivariate heterogeneous biomedical time-series — A preliminary report

Marko Horvat, Alan Jovic, Davor Kukolja, 2016, 2016 International Conference on Systems, Signals and Image Processing (IWSSIP).

Clinical Decision Support Systems in Practice: Current Status and Challenges

Mario Cifrek, Alan Jovic, Krešimir Friganović, 2020, 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO).

Feature Extraction for ECG Time-Series Mining Based on Chaos Theory

A. Jovic, N. Bogunovic, A. Jović, 2007, International Conference on Information Technology Interfaces.

Feature set extension for heart rate variability analysis by using non-linear, statistical and geometric measures

Nikola Bogunovic, Alan Jovic, N. Bogunovic, 2009, Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces.

Analysis of ECG records using ECG Chaos Extractor platform and Weka system

Nikola Bogunovic, Alan Jovic, N. Bogunovic, 2008, ITI 2008 - 30th International Conference on Information Technology Interfaces.

Random Forest-Based Classification of Heart Rate Variability Signals by Using Combinations of Linear and Nonlinear Features

Alan Jovic, Nikola Bogunović, A. Jovic, 2010 .

Automatic classifier based on heart rate variability to identify fallers among hypertensive subjects.

P. Melillo, L. Pecchia, A. Jović, 2015, Healthcare technology letters.