Alexandros T. Tzallas

According to our database1, Alexandros T. Tzallas authored at least 74 papers between 2005 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
A Novel Sampling Technique for Multistart-Based Methods.
SN Comput. Sci., 2021

EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests.
Sensors, 2021

IoT Micro-Blockchain Fundamentals.
Sensors, 2021

Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review.
Int. J. Neural Syst., 2021

Improving the PSO method for global optimization problems.
Evol. Syst., 2021

An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images.
Array, 2021

A Traffic Load-based Algorithm for Extending the Lifetime of Wireless Sensor Networks.
Proceedings of the 6th South-East Europe Design Automation, 2021

A Hospital Healthcare Monitoring System Using Internet of Things Technologies.
Proceedings of the 6th South-East Europe Design Automation, 2021

Automatic Parkinson's tremor assessment with data analysis from daily activities.
Proceedings of the 6th South-East Europe Design Automation, 2021

Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals.
Proceedings of the 6th South-East Europe Design Automation, 2021

Active touch classification using EEG signals.
Proceedings of the 6th South-East Europe Design Automation, 2021

Automated Quantification of Pancreatic Steatosis in Biopsy Images using a Classification Based System.
Proceedings of the 6th South-East Europe Design Automation, 2021

2020
Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation.
Sensors, 2020

Locate the Bounding Box of Neural Networks with Intervals.
Neural Process. Lett., 2020

Stopping rules for a parallel genetic algorithm.
Int. J. Comput. Intell. Stud., 2020

A Lifetime Extension Framework for Wireless Sensor Networks.
Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images.
Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Fetal Heart Beat detection based on Empirical Mode Decomposition, Signal Quality Indices and Correlation Analysis.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Motor data analysis of Parkinson's disease patients.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
NNC: A tool based on Grammatical Evolution for data classification and differential equation solving.
SoftwareX, 2019

Hybrid extreme learning machine approach for heterogeneous neural networks.
Neurocomputing, 2019

Analysis of electroencephalographic signals complexity regarding Alzheimer's Disease.
Comput. Electr. Eng., 2019

Optimum Capacity over Power Consumption Requirements in MIMO Systems.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

Deep Learning in Liver Biopsies using Convolutional Neural Networks.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

Automated Assessment of Pain Intensity Based on EEG Signal Analysis.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
Evolutionary Based Weight Decaying Method for Neural Network Training.
Neural Process. Lett., 2018

Hybrid extreme learning machine approach for homogeneous neural networks.
Neurocomputing, 2018

Designing a gamified social platform for people living with dementia and their live-in family caregivers.
Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

Fat Droplets Identification in Liver Biopsies using Supervised Learning Techniques.
Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

Random Forests with Stochastic Induction of Decision Trees.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017
Automated Detection of Liver Histopathological Findings Based on Biopsy Image Processing.
Inf., 2017

A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques.
Comput. Methods Programs Biomed., 2017

Wavelet Based Classification of Epileptic Seizures in EEG Signals.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Automated Collagen Proportional Area Extraction in Liver Biopsy Images Using a Novel Classification via Clustering Algorithm.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Measuring Steatosis in Liver Biopsies Using Machine Learning and Morphological Imaging.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Gamification in Social Networking: A Platform for People Living with Dementia and their Caregivers.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

Protein Structure Recognition by Means of Sequential Pattern Mining.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

Image Enhancement of Routine Biopsies: A Case for Liver Tissue Detection.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016
PDoublePop: An implementation of parallel genetic algorithm for function optimization.
Comput. Phys. Commun., 2016

Automated Hepatic Steatosis Assessment through Liver Biopsy Image Processing.
Proceedings of the 18th IEEE Conference on Business Informatics, 2016

2015
A cardiovascular simulator tailored for training and clinical uses.
J. Biomed. Informatics, 2015

A clustering based method for collagen proportional area extraction in liver biopsy images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson's Disease.
Sensors, 2014

Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors.
Sensors, 2014

Modeling and simulation of speed selection on left ventricular assist devices.
Comput. Biol. Medicine, 2014

A-Class: a novel classification method.
Proceedings of the 18th Panhellenic Conference on Informatics, 2014

A wearable system for long-term ubiquitous monitoring of common motor symptoms in patients with Parkinson's disease.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Automatic detection of freezing of gait events in patients with Parkinson's disease.
Comput. Methods Programs Biomed., 2013

Adverse event prediction in patients with left ventricular assist devices.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

An automatic electroencephalography blinking artefact detection and removal method based on template matching and ensemble empirical mode decomposition.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Denoising simulated EEG signals: A comparative study of EMD, wavelet transform and Kalman filter.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

EEG epileptic seizure detection using k-means clustering and marginal spectrum based on ensemble empirical mode decomposition.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

Effects of Exercise in Diabetic Rats Using Continuous Wavelet Transform.
Proceedings of the Ambient Media and Systems - Third International ICST Conference, 2013

Managing Children's Asthma with a Low Cost Web-Enabled Multifunctional Device.
Proceedings of the Ambient Media and Systems - Third International ICST Conference, 2013

2012
Assessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensors.
IEEE Trans. Inf. Technol. Biomed., 2012

Using partial decision trees to predict Parkinson's symptoms: A new approach for diagnosis and therapy in patients suffering from Parkinson's disease.
Comput. Biol. Medicine, 2012

An automated methodology for levodopa-induced dyskinesia: Assessment based on gyroscope and accelerometer signals.
Artif. Intell. Medicine, 2012

Automated knowledge-based fuzzy models generation for weaning of patients receiving Ventricular Assist Device (VAD) therapy.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Knowledge editor and execution engine development for optimal ventricular assist device weaning.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A Gaussian Mixture Model to detect suction events in rotary blood pumps.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

A treatment decision support system for patients receiving Ventricular Assist Device (VAD) therapy.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011
On automated assessment of Levodopa-induced dyskinesia in Parkinson's disease.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
On Assessing Motor Disorders in Parkinson's Disease.
Proceedings of the Wireless Mobile Communication and Healthcare, 2010

2009
Epileptic Seizure Detection in EEGs Using Time-Frequency Analysis.
IEEE Trans. Inf. Technol. Biomed., 2009

2008
A Multichannel Watershed-Based Segmentation Method for Multispectral Chromosome Classification.
IEEE Trans. Medical Imaging, 2008

2007
A Kalman filter based methodology for EEG spike enhancement.
Comput. Methods Programs Biomed., 2007

Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks.
Comput. Intell. Neurosci., 2007

A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

Region Based Segmentation and Classification of Multispectral Chromosome Images.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

2006
EEG Transient Event Detection and Classification Using Association Rules.
IEEE Trans. Inf. Technol. Biomed., 2006

Epileptic Spike Detection Using a Kalman Filter Based Approach.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
A Data Mining Based Approach for the EEG Transient Event Detection and Classification.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005


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