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2020 – today
- 2024
[j66]Enayetur Rahman
, Panos Liatsis, Zaheer Q. Hashim, Panayiotis A. Kyriacou, Iasonas F. Triantis:
A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection. IEEE Access 12: 18594-18605 (2024)- [j65]Alabi Bojesomo, Panos Liatsis, Hasan Al-Marzouqi:
Deep Hypercomplex Networks for Spatiotemporal Data Processing: Parameter efficiency and superior performance [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. 41(3): 101-112 (2024) - [j64]Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis:
A Novel Transformer Network With Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 45-55 (2024) - [c51]Hongxi Zhu, Dhiya Al-Jumeily, Panos Liatsis:
A generative approach to Electrical Impedance Tomography image reconstruction using prior information. IWSSIP 2024: 1-5 - [i16]Ruiyuan Kang, Panos Liatsis, Meixia Geng, Qingjie Yang:
Physics-Driven AI Correction in Laser Absorption Sensing Quantification. CoRR abs/2408.10714 (2024) - [i15]Shuaikai Shi, Ruiyuan Kang, Panos Liatsis:
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction. CoRR abs/2412.16979 (2024) - 2023
- [j63]Alabi Bojesomo, Panos Liatsis, Hasan Al-Marzouqi:
Marine Debris Segmentation Using a Parameter Efficient Octonion-Based Architecture. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j62]Manuel Alejandro Rodriguez Rivera, Hasan Al-Marzouqi, Panos Liatsis:
Multi-Label Retinal Disease Classification Using Transformers. IEEE J. Biomed. Health Informatics 27(6): 2739-2750 (2023) - [c50]Mohamed Mahyoub, Friska Natalia, Sud Sudirman, Abdulmajeed Hammadi Jasim Al-Jumaily, Panos Liatsis:
Semantic Segmentation and Depth Estimation of Urban Road Scene Images Using Multi-Task Networks. DeSE 2023: 469-474 - [c49]Mohamed Mahyoub, Friska Natalia, Sud Sudirman, Panos Liatsis, Abdulmajeed Hammadi Jasim Al-Jumaily:
Data Augmentation Using Generative Adversarial Networks to Reduce Data Imbalance with Application in Car Damage Detection. DeSE 2023: 480-485 - [c48]Mohamed Mahyoub, Friska Natalia, Sud Sudirman, Abdulmajeed Hammadi Jasim Al-Jumaily, Panos Liatsis:
Brain Tumor Segmentation in Fluid-Attenuated Inversion Recovery Brain MRI using Residual Network Deep Learning Architectures. DeSE 2023: 486-491 - [c47]Ruiyuan Kang, Tingting Mu, Panagiotis Liatsis, Dimitrios C. Kyritsis:
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. NeurIPS 2023 - [i14]Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis:
EEE, Remediating the failure of machine learning models via a network-based optimization patch. CoRR abs/2304.11321 (2023) - [i13]Ruiyuan Kang, Tingting Mu, Panos Liatsis, Dimitrios C. Kyritsis:
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. CoRR abs/2309.13985 (2023) - 2022
- [j61]Natasa Kleanthous, Abir Hussain, Wasiq Khan, Jennifer Sneddon, Panos Liatsis:
Deep transfer learning in sheep activity recognition using accelerometer data. Expert Syst. Appl. 207: 117925 (2022) - [j60]Abeer Abdullah Alsadhan, Abir Hussain, Panos Liatsis, Mohammed M. Alani, Hissam Tawfik, Phillip Kendrick, Hulya Francis:
Locally weighted classifiers for detection of neighbor discovery protocol distributed denial-of-service and replayed attacks. Trans. Emerg. Telecommun. Technol. 33(3) (2022) - [j59]Natasa Kleanthous, Abir Jaafar Hussain, Wasiq Khan, Jennifer Sneddon, Ahmed Al-Shamma'a, Panos Liatsis:
A survey of machine learning approaches in animal behaviour. Neurocomputing 491: 442-463 (2022) - [j58]Érick Oliveira Rodrigues, Lucas O. Rodrigues, João H. P. Machado, Dalcimar Casanova, Marcelo Teixeira, Jeferson T. Oliva, Giovani Bernardes Vitor, Panos Liatsis:
Local-Sensitive Connectivity Filter (LS-CF): A Post-Processing Unsupervised Improvement of the Frangi, Hessian and Vesselness Filters for Multimodal Vessel Segmentation. J. Imaging 8(10): 291 (2022) - [c46]Shatheesh Kumar Govindarajulu, Megan Watson, Sulaf Assi, Manoj Jayabalan, Panagiotis Liatsis, Jamila Mustafina, Normaiza Mohamad, Kdasy Al-Muni, Dhiya Al-Jumeily Obe:
Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention. DaSET 2022: 37-51 - [c45]Aditi Jain, Matthew Harper, Manoj Jayabalan, Jamila Mustafina, Wasiq Khan, Panagiotis Liatsis, Noor Lees Ismail, Dhiya Al-Jumeily:
Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques. DaSET 2022: 117-128 - [c44]Saravanan Murugan, Sulaf Assi, Abbas Saad Alatrany, Manoj Jayabalan, Panagiotis Liatsis, Jamila Mustafina, Abdullah Al-Hamid, Maitham G. Yousif, Ahmed Kaky, Danny Ngo Lung Yao, Dhiya Al-Jumeily Obe:
Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics. DaSET 2022: 209-221 - [c43]Rhul Talreja, Thomas Coombs, Sulaf Assi, Noor Azma Ismail, Manoj Jayabalan, Panagiotis Liatsis, Mohamed Mahyoub, Abdullah Al-Hamid, Hoshang Kolivand:
Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches. DaSET 2022: 388-402 - [c42]Rahul Sahai, Ali Al-Ataby, Sulaf Assi, Manoj Jayabalan, Panagiotis Liatsis, Chong Kim Loy, Abdullah Al-Hamid, Sahar Al-Sudani, Maitham Alamran, Hoshang Kolivand:
Insurance Risk Prediction Using Machine Learning. DaSET 2022: 419-433 - [c41]Saket Satpute, Manoj Jayabalan, Hoshang Kolivand, Jolnar Assi, Omar A. Aldhaibani, Panagiotis Liatsis, Paridah Daud, Ali Al-Ataby, Wasiq Khan, Ahmed Kaky, Sahar Al-Sudani, Mohamed Mahyoub:
Loan Default Forecasting Using StackNet. DaSET 2022: 434-447 - [c40]Ranjita Kumari Biswal Lenka, Thomas Coombs, Sulaf Assi, Manoj Jayabalan, Jamila Mustafina, Panagiotis Liatsis, Abdullah Al-Hamid, Sahar Al-Sudani, Noor Lees Ismail, Dhiya Al-Jumeily Obe:
Evaluation of Extractive and Abstract Methods in Text Summarization. DaSET 2022: 535-546 - [c39]Hajer Alyammahi, Panos Liatsis:
Towards Identification of Appliances in Conventional Homes using ML and Descriptive Statistics. ISC2 2022: 1-6 - [c38]Hajer Alyammahi, Panos Liatsis:
Non-Intrusive Appliance Identification Using Machine Learning and Time-Domain Features. IWSSIP 2022: 1-5 - [d1]Manuel Alejandro Rodriguez Rivera, Hasan Al-Marzouqi, Panagiotis Liatsis:
Multi-Label Retinal Disease (MuReD) Dataset. IEEE DataPort, 2022
- [i12]Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis:
SwinUNet3D - A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers. CoRR abs/2201.06390 (2022) - [i11]Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR abs/2203.17070 (2022) - [i10]Manuel A. Rodríguez, Hasan Al-Marzouqi, Panos Liatsis:
Multi-Label Retinal Disease Classification using Transformers. CoRR abs/2207.02335 (2022) - [i9]Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis:
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting. CoRR abs/2208.01252 (2022) - [i8]Érick O. Rodrigues, V. H. A. Pinheiro, Panos Liatsis, Aura Conci:
Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes. CoRR abs/2208.14374 (2022) - [i7]Érick Oliveira Rodrigues, Lucas O. Rodrigues, L. S. N. Oliveira, Aura Conci, Panos Liatsis:
Automated recognition of the pericardium contour on processed CT images using genetic algorithms. CoRR abs/2208.14375 (2022) - [i6]Érick O. Rodrigues, Leonardo Torok, Panos Liatsis, José Viterbo, Aura Conci:
k-MS: A novel clustering algorithm based on morphological reconstruction. CoRR abs/2208.14390 (2022) - [i5]Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis:
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling. CoRR abs/2210.06071 (2022) - [i4]Ruiyuan Kang, Panos Liatsis, Dimitrios C. Kyritsis:
Realizing Flame State Monitoring with Very Few Visual or Infrared Images via Few-Shot Learning. CoRR abs/2210.07845 (2022) - [i3]Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis:
Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning. CoRR abs/2212.07836 (2022) - 2021
- [j57]Jwan K. Alwan, Abir Jaafar Hussain, Dhafar Hamed Abd, Ahmed Tariq Sadiq, Mohammed Khalaf, Panos Liatsis:
Political Arabic Articles Orientation Using Rough Set Theory With Sentiment Lexicon. IEEE Access 9: 24475-24484 (2021) - [c37]Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis:
Spatiotemporal Vision Transformer for Short Time Weather Forecasting. IEEE BigData 2021: 5741-5746 - [c36]Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis:
Spatiotemporal Swin-Transformer Network for Short Time Weather Forecasting. CIKM Workshops 2021 - [c35]Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) 2021: 97-112 - [i2]Érick O. Rodrigues, Aura Conci, Panos Liatsis:
Morphological classifiers. CoRR abs/2112.12262 (2021) - 2020
- [j56]Mohammed Khalaf, Haya Alaskar, Abir Jaafar Hussain, Thar Baker, Zakaria Maamar, Rajkumar Buyya, Panos Liatsis, Wasiq Khan, Hissam Tawfik, Dhiya Al-Jumeily:
IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models. IEEE Access 8: 70375-70386 (2020) - [j55]Belal Ali Al-Maytami, Pingzhi Fan, Abir Jaafar Hussain, Thar Baker, Panos Liatsis:
An efficient queries processing model based on Multi Broadcast Searchable Keywords Encryption (MBSKE). Ad Hoc Networks 98 (2020) - [j54]Érick Oliveira Rodrigues, Dalcimar Casanova, Marcelo Teixeira, Vinicius Pegorini, Fábio Favarim, Esteban Walter Gonzalez Clua, Aura Conci, Panos Liatsis:
Proposal and study of statistical features for string similarity computation and classification. Int. J. Data Min. Model. Manag. 12(3): 277-307 (2020) - [j53]Haya Alaskar, Abir Jaafar Hussain, Wasiq Khan, Hissam Tawfik, Pip Trevorrow, Panos Liatsis, Zohra Sbaï:
A data science approach for reliable classification of neuro-degenerative diseases using gait patterns. J. Reliab. Intell. Environ. 6(4): 233-247 (2020) - [j52]Natasa Kleanthous, Abir Jaafar Hussain, Wasiq Khan, Panos Liatsis:
A new machine learning based approach to predict Freezing of Gait. Pattern Recognit. Lett. 140: 119-126 (2020) - [j51]Zaynab Ahmed, Abir Jaafar Hussain, Wasiq Khan, Thar Baker, Haya Al-Askar, Janet Lunn, Raghad Al-Shabandar, Dhiya Al-Jumeily, Panos Liatsis:
Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics. Remote. Sens. 12(6): 1004 (2020) - [j50]Érick O. Rodrigues, Aura Conci, Panos Liatsis:
ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach. IEEE J. Biomed. Health Informatics 24(12): 3507-3519 (2020) - [c34]Nadya Abdel Madjid, Panos Liatsis:
Object Segmentation In Electrical Impedance Tomography For Tactile Sensing. ICIP 2020: 3050-3054 - [c33]Panos Liatsis:
Learning to "see" Touch. IWSSIP 2020: 9-10 - [c32]L. C. Mendes, Érick Oliveira Rodrigues, Sandro C. Izidoro, Aura Conci, Panos Liatsis:
ROI Extraction in Thermographic Breast Images Using Genetic Algorithms. IWSSIP 2020: 111-115 - [c31]Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter:
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. NeurIPS (Competition and Demos) 2020: 325-343 - [p1]Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Panagiotis Liatsis, Ahmed J. Aljaaf:
Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 187-206 - [i1]Alabi Bojesomo, Panos Liatsis, Hasan Al-Marzouqi:
Traffic flow prediction using Deep Sedenion Networks. CoRR abs/2012.03874 (2020)
2010 – 2019
- 2019
- [j49]Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight:
Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques. IEEE Access 7: 149464-149478 (2019) - [j48]Belal Ali Al-Maytami, Pingzhi Fan, Abir Hussain, Thar Baker, Panos Liatsis:
A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing. IEEE Access 7: 160916-160926 (2019) - [j47]Abir Jaafar Hussain, Panos Liatsis, Mohammed Khalaf, Hissam Tawfik, Haya Al-Askar:
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. 18 (2019) - [j46]Ali Zifan, Panos Liatsis, Hasan Al-Marzouqi:
Realistic forward and inverse model mesh generation for rapid three-dimensional thoracic electrical impedance imaging. Comput. Biol. Medicine 107: 97-108 (2019) - [j45]Haya Alaskar, Abir Hussain, Nourah Alaseem, Panos Liatsis, Dhiya Al-Jumeily:
Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images. Sensors 19(6): 1265 (2019) - [c30]Mahmoud Khalil, Elena Fantino, Panos Liatsis:
Classification of Space Objects Using Machine Learning Methods. CogMI 2019: 93-96 - [c29]Zainab Husain, Panos Liatsis:
A neural network-based local decomposition approach for image reconstruction in Electrical Impedance Tomography. IST 2019: 1-6 - [c28]Mahmoud Khalil, Elena Fantino, Panos Liatsis:
Evaluation of Oversampling Strategies in Machine Learning for Space Debris Detection. IST 2019: 1-6 - 2018
- [j44]Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight:
Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach. IEEE Access 6: 73669-73685 (2018) - [j43]Abir Jaafar Hussain, Panos Liatsis, Mohammed Khalaf, Hissam Tawfik, Haya Al-Askar:
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting. Big Data Res. 14: 81-92 (2018) - [j42]Érick Oliveira Rodrigues, Panos Liatsis, Luiz Satoru Ochi, Aura Conci:
Fractal triangular search: a metaheuristic for image content search. IET Image Process. 12(8): 1475-1484 (2018) - [j41]Érick Oliveira Rodrigues, Aura Conci, Panos Liatsis:
Morphological classifiers. Pattern Recognit. 84: 82-96 (2018) - 2017
- [j40]Érick Oliveira Rodrigues, Lucas O. Rodrigues, L. S. N. Oliveira, Aura Conci, Panos Liatsis:
Automated recognition of the pericardium contour on processed CT images using genetic algorithms. Comput. Biol. Medicine 87: 38-45 (2017) - [j39]Érick Oliveira Rodrigues, V. H. A. Pinheiro, Panos Liatsis, Aura Conci:
Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes. Comput. Biol. Medicine 89: 520-529 (2017) - [j38]Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh:
A hybrid energy model for region based curve evolution - Application to CTA coronary segmentation. Comput. Methods Programs Biomed. 144: 189-202 (2017) - [j37]Seyed Mohammad RezaSaadat Beheshti, Panos Liatsis, Muttukrishnan Rajarajan:
A CAPTCHA model based on visual psychophysics: Using the brain to distinguish between human users and automated computer bots. Comput. Secur. 70: 596-617 (2017) - [j36]Yu Wu, Tingting Mu, Panos Liatsis, John Yannis Goulermas:
Computation of heterogeneous object co-embeddings from relational measurements. Pattern Recognit. 65: 146-163 (2017) - [j35]Érick Oliveira Rodrigues, Leonardo Torok, Panos Liatsis, José Viterbo, Aura Conci:
k-MS: A novel clustering algorithm based on morphological reconstruction. Pattern Recognit. 66: 392-403 (2017) - [c27]Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Greg G. Slabaugh:
Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold. MIUA 2017: 207-218 - 2016
- [j34]Ali Zifan, Panos Liatsis:
Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms. Comput. Math. Methods Medicine 2016: 2695962:1-2695962:12 (2016) - [j33]Quang Duc Tran, Panos Liatsis:
RABOC: An approach to handle class imbalance in multimodal biometric authentication. Neurocomputing 188: 167-177 (2016) - [c26]Alena Uus, Panos Liatsis:
Design of a 0D Image-Based Coronary Blood Flow Model. DeSE 2016: 81-84 - [c25]Alena Uus, Panos Liatsis, Gregory G. Slabaugh, Athanasios Anagnostis, Sam Roberts, Stephen Twist:
Trend deviation analysis for automated detection of defects in GPR data for road condition surveys. IWSSIP 2016: 1-4 - [c24]Alena Uus, Panos Liatsis, Ronak Rajani:
The influence of vessel segmentation threshold on the accuracy of patient-specific coronary blood flow simulations. MWSCAS 2016: 1-4 - 2015
- [c23]Muhammad Moazzam Jawaid, Panos Liatsis, Sanam Narejo:
Automated Extraction of the Coronary Tree by Integrating Localized Aorta-Based Intensity Distribution Statistics in Active Contour Segmentation. DeSE 2015: 83-87 - [c22]Seyed Mohammad RezaSaadat Beheshti, Panos Liatsis:
CAPTCHA Usability and Performance, How to Measure the Usability Level of Human Interactive Applications Quantitatively and Qualitatively? DeSE 2015: 131-136 - [c21]Anfisa Lazareva, Panos Liatsis, Franziska G. Rauscher:
An automated image processing system for the detection of photoreceptor cells in adaptive optics retinal images. IWSSIP 2015: 196-199 - [c20]Seyed Mohammad RezaSaadat Beheshti, Panos Liatsis:
How humans can help computers to solve an artificial problem? IWSSIP 2015: 291-294 - [c19]Seyed Mohammad RezaSaadat Beheshti, Panos Liatsis:
VICAP: Using the mechanisms of trans-saccadic memory to distinguish between humans and machines. IWSSIP 2015: 295-298 - [c18]Shahjahan Miah, Ioannis Kaparias, Panos Liatsis:
Evaluation of MEMS sensors accuracy for bicycle tracking and positioning. IWSSIP 2015: 299-303 - [c17]Shahjahan Miah, Alena Uus, Panos Liatsis, Sam Roberts, Stephen Twist, Maud Hovens, Hans Godding:
Design of multidimensional sensor fusion system for road pavement inspection. IWSSIP 2015: 304-308 - [c16]Alena Uus, Panos Liatsis, Giuseppe Nardoni, Enayet Rahman:
Optimisation of transducer positioning in air-coupled ultrasound inspection of concrete/asphalt structures. IWSSIP 2015: 309-312 - [c15]Alena Uus, Panos Liatsis, Muhammad Moazzam Jawaid, Ronak Rajani, Elena N. Benderskaya:
Assessment of stenosis introduced flow resistance in CCTA-reconstructed coronary arteries. IWSSIP 2015: 313-320 - 2014
- [c14]Tran Quang Duc, Panos Liatsis:
Improving Fusion with One-Class Classification and Boosting in Multimodal Biometric Authentication. ICIC (3) 2014: 438-444 - [c13]Alena Uus, Panos Liatsis, Ronak Rajani, Lidija Mandic:
The impact of boundary conditions in patient-specific coronary blood flow simulation. IWSSIP 2014: 35-38 - 2013
- [j32]Aura Conci, Ángel Sánchez, Panos Liatsis, Hisashi Usuki:
Signal processing techniques for detection of breast diseases. Signal Process. 93(10): 2783-2784 (2013) - [j31]Panagiotis Kantartzis, Montaserbellah Abdi, Panos Liatsis:
Stimulation and measurement patterns versus prior information for fast 3D EIT: A breast screening case study. Signal Process. 93(10): 2838-2850 (2013) - [c12]Quang Duc Tran, Panos Liatsis:
User-Specific Fusion Using One-Class Classification for Multimodal Biometric Systems: Boundary Methods. DeSE 2013: 276-280 - [c11]Quang Duc Tran, Panos Liatsis:
A Modified Equal Error Rate Based User-Specific Normalization for Multimodal Biometrics. DeSE 2013: 286-290 - 2012
- [j30]Bing Zhu, Changzheng He, Panos Liatsis:
A robust missing value imputation method for noisy data. Appl. Intell. 36(1): 61-74 (2012) - [j29]Mingzhu Zhang, Changzheng He, Panos Liatsis:
A D-GMDH model for time series forecasting. Expert Syst. Appl. 39(5): 5711-5716 (2012) - [j28]Bing Zhu, Changzheng He, Panos Liatsis, Xiaoyu Li:
A GMDH-based fuzzy modeling approach for constructing TS model. Fuzzy Sets Syst. 189(1): 19-29 (2012) - [j27]Tran Quang Duc, Panagiotis Kantartzis, Panos Liatsis:
Improving fusion with optimal weight selection in Face Recognition. Integr. Comput. Aided Eng. 19(3): 229-237 (2012) - [j26]Rubiel Vargas-Cañas, Panagiotis Kantartzis, Panos Liatsis:
Identification of anatomic retinal structures for macular delineation in fluorescein angiograms. Integr. Comput. Aided Eng. 19(4): 365-380 (2012) - [j25]Yin Wang, Panos Liatsis:
3-D Quantitative Vascular Shape Analysis for Arterial Bifurcations via Dynamic Tube Fitting. IEEE Trans. Biomed. Eng. 59(7): 1850-1860 (2012) - [j24]Yin Wang, Panos Liatsis:
Automatic Segmentation of Coronary Arteries in CT Imaging in the Presence of Kissing Vessel Artifacts. IEEE Trans. Inf. Technol. Biomed. 16(4): 782-788 (2012) - 2011
- [j23]Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsis:
Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals. Expert Syst. Appl. 38(4): 3765-3776 (2011) - [c10]Ali Zifan, Panos Liatsis, Panagiotis Kantartzis, Rubiel Vargas-Cañas:
Automatic Segmentation of Conductivity Changes in Electrical Impedance Tomography Images. BIOSIGNALS 2011: 215-220 - [c9]Montaserbellah Abdi, Panos Liatsis:
EIT in Breast Cancer Imaging: Application to Patient-Specific Forward Model. DeSE 2011: 56-61 - [c8]Ali Zifan, Panos Liatsis:
Medical Image Deblurring via Lagrangian Pursuit in Frame Dictionaries. DeSE 2011: 86-91 - [c7]Quang Duc Tran, Panos Liatsis, Bing Zhu, Changzheng He:
Using Density based Score Fusion for Multimodal Identification Systems under the Missing Data Scenario. DeSE 2011: 238-242 - [c6]J. G. Huang, Panos Liatsis, Kevin Cooke, Dennis Teer:
Automating the estimation of coating thickness measurements in the ball crater technique. Image Processing: Machine Vision Applications 2011: 78770X - [c5]Panagiotis Kantartzis, Panos Liatsis:
On sparse forward solutions in non-stationary domains for the EIT imaging problem. EMBC 2011: 3892-3896 - 2010
- [c4]Xiaoyu Li, Changzheng He, Panos Liatsis:
A New Robust Classification Method for CRM. APWCS 2010: 70-73
2000 – 2009
- 2009
- [j22]Panos Liatsis, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis:
A flexible visual inspection system based on neural networks. Int. J. Syst. Sci. 40(2): 173-186 (2009) - 2008
- [j21]John N. Lygouras, Vassilis Kodogiannis, Theodoros P. Pachidis, Panagiotis Liatsis:
Terrain-Based Navigation for Underwater Vehicles Using an Ultrasonic Scanning System. Adv. Robotics 22(11): 1181-1205 (2008) - [j20]Abir Jaafar Hussain, Panos Liatsis, Hissam Tawfik, Atulya K. Nagar, Dhiya Al-Jumeily:
Physical time series prediction using Recurrent Pi-Sigma Neural Networks. Int. J. Artif. Intell. Soft Comput. 1(1): 130-145 (2008) - [j19]Hissam Tawfik, Panos Liatsis:
An intelligent systems framework for prototyping tactical driving decisions. Int. J. Intell. Syst. Technol. Appl. 5(1/2): 20-48 (2008) - [j18]Panos Liatsis, M. A. Nazarboland, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis:
Automating the processing of cDNA microarray images. Int. J. Intell. Syst. Technol. Appl. 5(1/2): 115-144 (2008) - [j17]John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng:
Kernel regression networks with local structural information and covariance volume adaptation. Neurocomputing 72(1-3): 257-261 (2008) - [j16]Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsis, Hissam Tawfik:
The application of ridge polynomial neural network to multi-step ahead financial time series prediction. Neural Comput. Appl. 17(3): 311-323 (2008) - [j15]Stylianos Sp. Pappas, Lambros Ekonomou, Panagiotis Karampelas, Sokratis K. Katsikas, Panos Liatsis:
Modeling of the grounding resistance variation using ARMA models. Simul. Model. Pract. Theory 16(5): 560-570 (2008) - [j14]Xiao-Jun Zeng, John Yannis Goulermas, Panos Liatsis, Di Wang, John A. Keane:
Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application. IEEE Trans. Fuzzy Syst. 16(5): 1197-1215 (2008) - [j13]John Yannis Goulermas, Andrew H. Findlow, Christopher J. Nester, Panos Liatsis, Xiao-Jun Zeng, Laurence P. J. Kenney, Philip A. Tresadern, Sibylle B. Thies, David Howard:
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. IEEE Trans. Neural Networks 19(9): 1574-1582 (2008) - 2007
- [j12]Lambros Ekonomou, G. P. Fotis, T. I. Maris, Panos Liatsis:
Estimation of the electromagnetic field radiating by electrostatic discharges using artificial neural networks. Simul. Model. Pract. Theory 15(9): 1089-1102 (2007) - [j11]John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng, Phil Cook:
Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation. IEEE Trans. Neural Networks 18(6): 1683-1696 (2007) - [j10]John Yannis Goulermas, Xiao-Jun Zeng, Panos Liatsis, Jason F. Ralph:
Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization. IEEE Trans. Syst. Man Cybern. Part B 37(6): 1434-1445 (2007) - 2006
- [j9]Panos Liatsis:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 20(5): 629-632 (2006) - [c3]Dimitrios Kalamatianos, Panos Liatsis, Peter E. Wellstead:
Near-infrared spectroscopic measurements of blood analytes using multi-layer perceptron neural networks. EMBC 2006: 3541-3544 - [c2]Hissam Tawfik, Panos Liatsis:
Modelling Tactical Driving Manoeuvres with GA-INTACT. International Conference on Computational Science (3) 2006: 767-774 - 2005
- [j8]John Yannis Goulermas, Panos Liatsis, Terrence Fernando:
A Constrained Nonlinear Energy Minimization Framework for the Regularization of the Stereo Correspondence Problem. IEEE Trans. Circuits Syst. Video Technol. 15(4): 550-565 (2005) - 2004
- [c1]Dimitrios Kalamatianos, John M. Edmunds, Peter Wellstead, Ralph J. Houston, Panos Liatsis, Simon M. Christie, Richard J. Dewhurst, Maureen S. Thorniley:
Dynamic alignment system for an FT-NIR Michelson interferometer. VECIMS 2004: 120-124 - 2003
- [j7]Abir Jaafar Hussain, Panos Liatsis:
Recurrent pi-sigma networks for DPCM image coding. Neurocomputing 55(1-2): 363-382 (2003) - [j6]John Yannis Goulermas, Panos Liatsis:
A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo. IEEE Trans. Evol. Comput. 7(5): 482-502 (2003) - 2001
- [j5]John Yannis Goulermas, Panos Liatsis:
Hybrid symbiotic genetic optimisation for robust edge-based stereo correspondence. Pattern Recognit. 34(12): 2477-2496 (2001) - 2000
- [j4]John Yannis Goulermas, Panos Liatsis:
A new parallel feature-based stereo-matching algorithm with figural continuity preservation, based on hybrid symbiotic genetic algorithms. Pattern Recognit. 33(3): 529-531 (2000) - [j3]Alexandros G. Rigas, Panos Liatsis:
Identification of a neuroelectric system involving a single input and a single output. Signal Process. 80(9): 1883-1894 (2000)
1990 – 1999
- 1999
- [j2]John Yannis Goulermas, Panos Liatsis:
Incorporating Gradient Estimations in a Circle-Finding Probabilistic Hough Transform. Pattern Anal. Appl. 2(3): 239-250 (1999) - 1998
- [j1]John Yannis Goulermas, Panos Liatsis:
Genetically fine-tuning the Hough transform feature space, for the detection of circular objects. Image Vis. Comput. 16(9-10): 615-625 (1998)
Coauthor Index
Dhiya Al-Jumeily
aka: Dhiya Al-Jumeily Obe
aka: Dhiya Al-Jumeily Obe
Abir Jaafar Hussain
aka: Abir Hussain
aka: Abir Hussain
Érick Oliveira Rodrigues
aka: Érick O. Rodrigues
aka: Érick O. Rodrigues
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