Tatjana Lončar-Turukalo
YOU?
Author Swipe
View article: Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices
Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices Open
Objective. This study evaluates the effectiveness of four machine learning algorithms in classifying physiological stress using heart rate variability (HRV) and pulse rate variability (PRV) time series, comparing an automatic feature selec…
View article: Multi-class boosting for the analysis of multiple incomplete views on microbiome data
Multi-class boosting for the analysis of multiple incomplete views on microbiome data Open
View article: Classification of Physiological States Through Machine Learning Algorithms Applied to Ultra-Short-Term Heart Rate and Pulse Rate Variability Indices on a Single-Feature Basis
Classification of Physiological States Through Machine Learning Algorithms Applied to Ultra-Short-Term Heart Rate and Pulse Rate Variability Indices on a Single-Feature Basis Open
View article: Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures
Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures Open
In this work, we perform a comparative analysis of discrete-and continuous-time estimators of information-theoretic measures quantifying the concept of memory utilization in short-term heart rate variability (HRV). Specifically, considerin…
View article: A toolbox of machine learning software to support microbiome analysis
A toolbox of machine learning software to support microbiome analysis Open
The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and high dimensionality. Mac…
View article: Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action Open
The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantial…
View article: Assessment of Cardiorespiratory Interactions During Spontaneous and Controlled Breathing: Non-linear Model-free Analysis
Assessment of Cardiorespiratory Interactions During Spontaneous and Controlled Breathing: Non-linear Model-free Analysis Open
In this work, nonlinear model-free methods for bivariate time series analysis have been applied to study cardiorespiratory interactions. Specifically, entropy-based (i.e. Transfer Entropy and Cross Entropy) and Convergent Cross Mapping asy…
View article: The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography
The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography Open
Finding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce cancer related mortality. This work prese…
View article: An Information-Theoretic Framework to Measure the Dynamic Interaction between Neural Spike Trains
An Information-Theoretic Framework to Measure the Dynamic Interaction between Neural Spike Trains Open
Objective: While understanding the interaction patterns among simultaneous recordings of spike trains from multiple neuronal units is a key topic in neuroscience, existing methods either do not consider the inherent point-process nature of…
View article: Machine Learning Based Metagenomic Prediction of Inflammatory Bowel Disease
Machine Learning Based Metagenomic Prediction of Inflammatory Bowel Disease Open
In this study, we investigate faecal microbiota composition, in an attempt to evaluate performance of classification algorithms in identifying Inflammatory Bowel Disease (IBD) and its two types: Crohn’s disease (CD) and ulcerative colitis …
View article: Towards the optimisation and standardisation of Machine Learning techniques for human microbiome research: the ML4Microbiome COST Action (CA 18131)
Towards the optimisation and standardisation of Machine Learning techniques for human microbiome research: the ML4Microbiome COST Action (CA 18131) Open
View article: Inflammatory bowel disease prediction based on metagenomics data
Inflammatory bowel disease prediction based on metagenomics data Open
from the BelBi2021 conference
View article: Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics
Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics Open
Apnea and other breathing-related disorders have been linked to the development of hypertension or impairments of the cardiovascular, cognitive or metabolic systems. The combined assessment of multiple physiological signals acquired during…
View article: An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains
An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains Open
Understanding the interaction patterns among simultaneous recordings of spike trains from multiple neuronal units is a key topic in neuroscience. However, an optimal approach of assessing these interactions has not been established, as exi…
View article: A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection
A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection Open
This note presents a fuzzy optimization of Gabor filter-based object and text detection. The derivation of a 2D Gabor filter and the guidelines for the fuzzification of the filter parameters are described. The fuzzy Gabor filter proved to …
View article: A Measure of Concurrent Neural Firing Activity Based on Mutual Information
A Measure of Concurrent Neural Firing Activity Based on Mutual Information Open
View article: A Fast Transform for Brain Connectivity Difference Evaluation
A Fast Transform for Brain Connectivity Difference Evaluation Open
View article: Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment Open
The number of microbiome-related studies has notably increased the availability of data on human microbiome composition and function. These studies provide the essential material to deeply explore host-microbiome associations and their rel…
View article: Report on SHAFE policies, strategies and funding
Report on SHAFE policies, strategies and funding Open
The objective of Working Group (WG) 4 of the COST Action NET4Age-Friendly is to examine existing policies, advocacy, and funding opportunities and to build up relations with policy makers and funding organisations. Also, to synthesize and …
View article: A measure of concurrent neural firing activity based on mutual information
A measure of concurrent neural firing activity based on mutual information Open
Multiple methods have been developed in an attempt to quantify stimulus-induced neural coordination and to understand internal coordination of neuronal responses by examining the synchronization phenomena in neural discharge patterns. In t…
View article: An information-theoretic framework to measure the dynamic interaction\n between neural spike trains
An information-theoretic framework to measure the dynamic interaction\n between neural spike trains Open
Understanding the interaction patterns among simultaneous recordings of spike\ntrains from multiple neuronal units is a key topic in neuroscience. However, an\noptimal approach of assessing these interactions has not been established, as\n…
View article: Literature on Applied Machine Learning in Metagenomic Classification: A Scoping Review
Literature on Applied Machine Learning in Metagenomic Classification: A Scoping Review Open
Applied machine learning in bioinformatics is growing as computer science slowly invades all research spheres. With the arrival of modern next-generation DNA sequencing algorithms, metagenomics is becoming an increasingly interesting resea…
View article: SISY 2020 Table of Contents
SISY 2020 Table of Contents Open
View article: Comparison of Gabor Filter Bank and Fuzzified Gabor Filter for License Plate Detection
Comparison of Gabor Filter Bank and Fuzzified Gabor Filter for License Plate Detection Open
This paper presents a comparative study of improvements to the algorithms for license plate extraction from images captured using conventional, modest-quality cameras.It compares the results and efficacy of two similar algorithms which pri…
View article: Leveraging Interdisciplinary Education Toward Securing the Future of Connected Health Research in Europe: Qualitative Study
Leveraging Interdisciplinary Education Toward Securing the Future of Connected Health Research in Europe: Qualitative Study Open
Background Connected health (CH) technologies have resulted in a paradigm shift, moving health care steadily toward a more patient-centered delivery approach. CH requires a broad range of disciplinary expertise from across the spectrum to …
View article: Clustering and Classification of Human Microbiome Data: Evaluating the Impact of Different Settings in Bioinformatics Workflows
Clustering and Classification of Human Microbiome Data: Evaluating the Impact of Different Settings in Bioinformatics Workflows Open
—Microbiome studies are attracting increasing interest, especially in human health applications, where their use for disease prognostics, diagnostics and treatment can have immense effects on life quality. The settings in the microbiome da…
View article: Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers
Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers Open
Background Wearable sensing and information and communication technologies are key enablers driving the transformation of health care delivery toward a new model of connected health (CH) care. The advances in wearable technologies in the l…
View article: Automatic Detection of Respiratory Effort Related Arousals From Polysomnographic Recordings
Automatic Detection of Respiratory Effort Related Arousals From Polysomnographic Recordings Open
A reliable automatic categorization of respiratory effort is paramount for sleep-disordered breathing characterization from polysomnography.A respiratory effort related arousal (RERA) is a subtle breathing obstruction associated with an ar…
View article: Consensus Clustering for Cancer Gene Expression Data - Large-Scale Analysis using Evidence Accumulation Approach
Consensus Clustering for Cancer Gene Expression Data - Large-Scale Analysis using Evidence Accumulation Approach Open
Clustering algorithms are extensively used on patient tissue samples in order to group and visualize the microarray data. The high dimensionality and probe specific noise make the selection of the appropriate clustering algorithm an uneasy…