Panos Liatsis

Orcid: 0000-0002-5490-6030

According to our database1, Panos Liatsis authored at least 126 papers between 1998 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep Hypercomplex Networks for Spatiotemporal Data Processing: Parameter efficiency and superior performance [Hypercomplex Signal and Image Processing].
IEEE Signal Process. Mag., May, 2024

A Novel Transformer Network With Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Physics-Driven AI Correction in Laser Absorption Sensing Quantification.
CoRR, 2024

A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection.
IEEE Access, 2024

A generative approach to Electrical Impedance Tomography image reconstruction using prior information.
Proceedings of the 31st International Conference on Systems, Signals and Image Processing, 2024

2023
Multi-Label Retinal Disease Classification Using Transformers.
IEEE J. Biomed. Health Informatics, June, 2023

Marine Debris Segmentation Using a Parameter Efficient Octonion-Based Architecture.
IEEE Geosci. Remote. Sens. Lett., 2023

EEE, Remediating the failure of machine learning models via a network-based optimization patch.
CoRR, 2023

Physics-Driven ML-Based Modelling for Correcting Inverse Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data Augmentation Using Generative Adversarial Networks to Reduce Data Imbalance with Application in Car Damage Detection.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Brain Tumor Segmentation in Fluid-Attenuated Inversion Recovery Brain MRI using Residual Network Deep Learning Architectures.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Semantic Segmentation and Depth Estimation of Urban Road Scene Images Using Multi-Task Networks.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

2022
Multi-Label Retinal Disease (MuReD) Dataset.
Dataset, July, 2022

Local-Sensitive Connectivity Filter (LS-CF): A Post-Processing Unsupervised Improvement of the Frangi, Hessian and Vesselness Filters for Multimodal Vessel Segmentation.
J. Imaging, 2022

A survey of machine learning approaches in animal behaviour.
Neurocomputing, 2022

Locally weighted classifiers for detection of neighbor discovery protocol distributed denial-of-service and replayed attacks.
Trans. Emerg. Telecommun. Technol., 2022

Deep transfer learning in sheep activity recognition using accelerometer data.
Expert Syst. Appl., 2022

Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning.
CoRR, 2022

Realizing Flame State Monitoring with Very Few Visual or Infrared Images via Few-Shot Learning.
CoRR, 2022

Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling.
CoRR, 2022

SwinUNet3D - A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers.
CoRR, 2022

Non-Intrusive Appliance Identification Using Machine Learning and Time-Domain Features.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

Towards Identification of Appliances in Conventional Homes using ML and Descriptive Statistics.
Proceedings of the IEEE International Smart Cities Conference, 2022

Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches.
Proceedings of the Data Science and Emerging Technologies, 2022

Loan Default Forecasting Using StackNet.
Proceedings of the Data Science and Emerging Technologies, 2022

Insurance Risk Prediction Using Machine Learning.
Proceedings of the Data Science and Emerging Technologies, 2022

Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics.
Proceedings of the Data Science and Emerging Technologies, 2022

Evaluation of Extractive and Abstract Methods in Text Summarization.
Proceedings of the Data Science and Emerging Technologies, 2022

Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques.
Proceedings of the Data Science and Emerging Technologies, 2022

Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention.
Proceedings of the Data Science and Emerging Technologies, 2022

2021
Political Arabic Articles Orientation Using Rough Set Theory With Sentiment Lexicon.
IEEE Access, 2021


Spatiotemporal Swin-Transformer Network for Short Time Weather Forecasting.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

Spatiotemporal Vision Transformer for Short Time Weather Forecasting.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients.
Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 2020

ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach.
IEEE J. Biomed. Health Informatics, 2020

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics.
Remote. Sens., 2020

A new machine learning based approach to predict Freezing of Gait.
Pattern Recognit. Lett., 2020

A data science approach for reliable classification of neuro-degenerative diseases using gait patterns.
J. Reliab. Intell. Environ., 2020

Proposal and study of statistical features for string similarity computation and classification.
Int. J. Data Min. Model. Manag., 2020

Traffic flow prediction using Deep Sedenion Networks.
CoRR, 2020

An efficient queries processing model based on Multi Broadcast Searchable Keywords Encryption (MBSKE).
Ad Hoc Networks, 2020

IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models.
IEEE Access, 2020

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

ROI Extraction in Thermographic Breast Images Using Genetic Algorithms.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Learning to "see" Touch.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Object Segmentation In Electrical Impedance Tomography For Tactile Sensing.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images.
Sensors, 2019

Realistic forward and inverse model mesh generation for rapid three-dimensional thoracic electrical impedance imaging.
Comput. Biol. Medicine, 2019

Corrigendum to "A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting" [Big Data Research 14 (2018) 81-92].
Big Data Res., 2019

Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques.
IEEE Access, 2019

A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing.
IEEE Access, 2019

Evaluation of Oversampling Strategies in Machine Learning for Space Debris Detection.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A neural network-based local decomposition approach for image reconstruction in Electrical Impedance Tomography.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Classification of Space Objects Using Machine Learning Methods.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

2018
Morphological classifiers.
Pattern Recognit., 2018

Fractal triangular search: a metaheuristic for image content search.
IET Image Process., 2018

A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting.
Big Data Res., 2018

Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach.
IEEE Access, 2018

2017
Computation of heterogeneous object co-embeddings from relational measurements.
Pattern Recognit., 2017

k-MS: A novel clustering algorithm based on morphological reconstruction.
Pattern Recognit., 2017

A CAPTCHA model based on visual psychophysics: Using the brain to distinguish between human users and automated computer bots.
Comput. Secur., 2017

A hybrid energy model for region based curve evolution - Application to CTA coronary segmentation.
Comput. Methods Programs Biomed., 2017

Automated recognition of the pericardium contour on processed CT images using genetic algorithms.
Comput. Biol. Medicine, 2017

Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes.
Comput. Biol. Medicine, 2017

Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016
RABOC: An approach to handle class imbalance in multimodal biometric authentication.
Neurocomputing, 2016

Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms.
Comput. Math. Methods Medicine, 2016

The influence of vessel segmentation threshold on the accuracy of patient-specific coronary blood flow simulations.
Proceedings of the IEEE 59th International Midwest Symposium on Circuits and Systems, 2016

Trend deviation analysis for automated detection of defects in GPR data for road condition surveys.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2016

Design of a 0D Image-Based Coronary Blood Flow Model.
Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016

2015
Optimisation of transducer positioning in air-coupled ultrasound inspection of concrete/asphalt structures.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Assessment of stenosis introduced flow resistance in CCTA-reconstructed coronary arteries.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Design of multidimensional sensor fusion system for road pavement inspection.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Evaluation of MEMS sensors accuracy for bicycle tracking and positioning.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

An automated image processing system for the detection of photoreceptor cells in adaptive optics retinal images.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

VICAP: Using the mechanisms of trans-saccadic memory to distinguish between humans and machines.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

How humans can help computers to solve an artificial problem?
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Automated Extraction of the Coronary Tree by Integrating Localized Aorta-Based Intensity Distribution Statistics in Active Contour Segmentation.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015

CAPTCHA Usability and Performance, How to Measure the Usability Level of Human Interactive Applications Quantitatively and Qualitatively?
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015

2014
The impact of boundary conditions in patient-specific coronary blood flow simulation.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2014

Improving Fusion with One-Class Classification and Boosting in Multimodal Biometric Authentication.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

2013
Stimulation and measurement patterns versus prior information for fast 3D EIT: A breast screening case study.
Signal Process., 2013

Signal processing techniques for detection of breast diseases.
Signal Process., 2013

A Modified Equal Error Rate Based User-Specific Normalization for Multimodal Biometrics.
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013

User-Specific Fusion Using One-Class Classification for Multimodal Biometric Systems: Boundary Methods.
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013

2012
Automatic Segmentation of Coronary Arteries in CT Imaging in the Presence of Kissing Vessel Artifacts.
IEEE Trans. Inf. Technol. Biomed., 2012

3-D Quantitative Vascular Shape Analysis for Arterial Bifurcations via Dynamic Tube Fitting.
IEEE Trans. Biomed. Eng., 2012

Identification of anatomic retinal structures for macular delineation in fluorescein angiograms.
Integr. Comput. Aided Eng., 2012

Improving fusion with optimal weight selection in Face Recognition.
Integr. Comput. Aided Eng., 2012

A GMDH-based fuzzy modeling approach for constructing TS model.
Fuzzy Sets Syst., 2012

A D-GMDH model for time series forecasting.
Expert Syst. Appl., 2012

A robust missing value imputation method for noisy data.
Appl. Intell., 2012

2011
Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals.
Expert Syst. Appl., 2011

On sparse forward solutions in non-stationary domains for the EIT imaging problem.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Automating the estimation of coating thickness measurements in the ball crater technique.
Proceedings of the Image Processing: Machine Vision Applications IV, 2011

Medical Image Deblurring via Lagrangian Pursuit in Frame Dictionaries.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

Using Density based Score Fusion for Multimodal Identification Systems under the Missing Data Scenario.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

EIT in Breast Cancer Imaging: Application to Patient-Specific Forward Model.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

Automatic Segmentation of Conductivity Changes in Electrical Impedance Tomography Images.
Proceedings of the BIOSIGNALS 2011, 2011

2010
A New Robust Classification Method for CRM.
Proceedings of the 2010 Asia-Pacific Conference on Wearable Computing Systems, 2010

2009
A flexible visual inspection system based on neural networks.
Int. J. Syst. Sci., 2009

2008
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors.
IEEE Trans. Neural Networks, 2008

Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application.
IEEE Trans. Fuzzy Syst., 2008

Modeling of the grounding resistance variation using ARMA models.
Simul. Model. Pract. Theory, 2008

The application of ridge polynomial neural network to multi-step ahead financial time series prediction.
Neural Comput. Appl., 2008

Kernel regression networks with local structural information and covariance volume adaptation.
Neurocomputing, 2008

An intelligent systems framework for prototyping tactical driving decisions.
Int. J. Intell. Syst. Technol. Appl., 2008

Automating the processing of cDNA microarray images.
Int. J. Intell. Syst. Technol. Appl., 2008

Physical time series prediction using Recurrent Pi-Sigma Neural Networks.
Int. J. Artif. Intell. Soft Comput., 2008

Terrain-Based Navigation for Underwater Vehicles Using an Ultrasonic Scanning System.
Adv. Robotics, 2008

2007
Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation.
IEEE Trans. Neural Networks, 2007

Estimation of the electromagnetic field radiating by electrostatic discharges using artificial neural networks.
Simul. Model. Pract. Theory, 2007

2006
Editorial.
Int. J. Pattern Recognit. Artif. Intell., 2006

Modelling Tactical Driving Manoeuvres with GA-INTACT.
Proceedings of the Computational Science, 2006

Near-infrared spectroscopic measurements of blood analytes using multi-layer perceptron neural networks.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
A Constrained Nonlinear Energy Minimization Framework for the Regularization of the Stereo Correspondence Problem.
IEEE Trans. Circuits Syst. Video Technol., 2005

2004
Dynamic alignment system for an FT-NIR Michelson interferometer.
Proceedings of the IEEE International Conference on Virtual Environments, 2004

2003
A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo.
IEEE Trans. Evol. Comput., 2003

Recurrent pi-sigma networks for DPCM image coding.
Neurocomputing, 2003

2001
Hybrid symbiotic genetic optimisation for robust edge-based stereo correspondence.
Pattern Recognit., 2001

2000
Identification of a neuroelectric system involving a single input and a single output.
Signal Process., 2000

A new parallel feature-based stereo-matching algorithm with figural continuity preservation, based on hybrid symbiotic genetic algorithms.
Pattern Recognit., 2000

1999
Incorporating Gradient Estimations in a Circle-Finding Probabilistic Hough Transform.
Pattern Anal. Appl., 1999

1998
Genetically fine-tuning the Hough transform feature space, for the detection of circular objects.
Image Vis. Comput., 1998


  Loading...