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Alexandros T. Tzallas
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2020 – today
- 2024
- [j62]Kosmas Glavas, Katerina D. Tzimourta, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
Empowering Individuals With Disabilities: A 4-DoF BCI Wheelchair Using MI and EOG Signals. IEEE Access 12: 95417-95433 (2024) - [j61]Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis:
Applying Bounding Techniques on Grammatical Evolution. Comput. 13(5): 111 (2024) - [j60]Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis:
Using Optimization Techniques in Grammatical Evolution. Future Internet 16(5): 172 (2024) - [j59]Konstantinos Sakkas, Eirini Georgia Dimitriou, Niki Eleni Ntagka, Nikolaos Giannakeas, Konstantinos Kalafatakis, Alexandros T. Tzallas, Evripidis Glavas:
Personalized Visualization of the Gestures of Parkinson's Disease Patients with Virtual Reality. Future Internet 16(9): 305 (2024) - [j58]Emmanouil D. Oikonomou, Petros S. Karvelis, Nikolaos Giannakeas, Aristidis G. Vrahatis, Evripidis Glavas, Alexandros T. Tzallas:
How natural language processing derived techniques are used on biological data: a systematic review. Netw. Model. Anal. Health Informatics Bioinform. 13(1): 23 (2024) - [i1]Yihe Wang, Nadia Mammone, Darina Petrovsky, Alexandros T. Tzallas, Francesco Carlo Morabito, Xiang Zhang:
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment. CoRR abs/2409.00032 (2024) - 2023
- [j57]Andreas Miltiadous, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Konstantinos Kalafatakis, Alexandros T. Tzallas:
Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review. IEEE Access 11: 564-594 (2023) - [j56]Matina Ch. Zerva, Vasileios Christou, Nikolaos Giannakeas, Alexandros T. Tzallas, Lisimachos P. Kondi:
An Improved Medical Image Compression Method Based on Wavelet Difference Reduction. IEEE Access 11: 18026-18037 (2023) - [j55]Andreas Miltiadous, Emmanouil Gionanidis, Katerina D. Tzimourta, Nikolaos Giannakeas, Alexandros T. Tzallas:
DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals. IEEE Access 11: 71840-71858 (2023) - [j54]Theodoros Lampros, Konstantinos Kalafatakis, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas:
An optimized hybrid methodology for non-invasive fetal electrocardiogram signal extraction and monitoring. Array 19: 100302 (2023) - [j53]Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis, Dimitrios G. Tsalikakis:
Bound the Parameters of Neural Networks Using Particle Swarm Optimization. Comput. 12(4): 82 (2023) - [j52]Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis:
Constructing the Bounds for Neural Network Training Using Grammatical Evolution. Comput. 12(11): 226 (2023) - [j51]Andreas Miltiadous, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Pantelis Angelidis, Markos G. Tsipouras, Euripidis Glavas, Nikolaos Giannakeas, Alexandros T. Tzallas:
A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG. Data 8(6): 95 (2023) - [j50]Vasileios Christou, Ioannis G. Tsoulos, Vasileios Loupas, Alexandros T. Tzallas, Christos Gogos, Petros S. Karvelis, Nikolaos Antoniadis, Evripidis Glavas, Nikolaos Giannakeas:
Performance and early drop prediction for higher education students using machine learning. Expert Syst. Appl. 225: 120079 (2023) - [j49]Ioannis G. Tsoulos, Nikolaos P. Anastasopoulos, Georgios Ntritsos, Alexandros T. Tzallas:
Train RBF networks with a hybrid genetic algorithm. Evol. Intell. 16(1): 375-381 (2023) - [j48]Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis, Dimitrios G. Tsalikakis:
NeuralMinimizer: A Novel Method for Global Optimization. Inf. 14(2): 66 (2023) - [j47]Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas, Nikolaos Giannakeas:
Virtual and Augmented Experience in Virtual Learning Tours. Inf. 14(5): 294 (2023) - [j46]Georgios Prapas, Kosmas Glavas, Katerina D. Tzimourta, Alexandros T. Tzallas, Markos G. Tsipouras:
Mind the Move: Developing a Brain-Computer Interface Game with Left-Right Motor Imagery. Inf. 14(7): 354 (2023) - [j45]Aristidis G. Anagnostakis, Charilaos Naxakis, Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Euripidis Glavas:
Scalable Consensus Over Finite Capacities in Multiagent IoT Ecosystems. IEEE Internet Things J. 10(8, April 15): 6673-6688 (2023) - [j44]Vasileios Charilogis, Ioannis G. Tsoulos, Alexandros T. Tzallas:
An Improved Parallel Particle Swarm Optimization. SN Comput. Sci. 4(6): 766 (2023) - [c61]Panagiotis N. Smyrlis, Konstantinos Vogklis, Odysseas Tsakai, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
A Novel Approach for Cancer Image Segmentation. BIBM 2023: 4951-4954 - [c60]Odysseas Tsakai, Panagiotis N. Smyrlis, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
Deep-in-Biopsies: AI-supported biopsy image processing for accurate pathology diagnosis and staging. BIBM 2023: 4963-4965 - [c59]Andreas Miltiadous, Katerina D. Tzimourta, Vasileios Aspiotis, Theodora Afrantou, Markos G. Tsipouras, Nikolaos Giannakeas, Euripidis Glavas, Alexandros T. Tzallas:
Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features. CBMS 2023: 876-881 - [c58]Theodoros Lampros, Nikolaos Giannakeas, Konstantinos Kalafatakis, Markos G. Tsipouras, Alexandros T. Tzallas:
Fetal ECG Extraction Based on Overcomplete ICA and Empirical Wavelet Transform. AIAI Workshops 2023: 45-54 - [c57]Panagiotis N. Smyrlis, Odysseas Tsakai, Konstantinos Vogklis, Nikolaos Giannakeas, Alexandros T. Tzallas, George F. Fragulis, Markos G. Tsipouras:
A Comparative Testing of Yolov8-Based Algorithm for Cancer Biopsy Images: Case Study on Pannuke Pan-Cancer Dataset. SEEDA-CECNSM 2023: 1-5 - 2022
- [j43]Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis:
RbfDeSolver: A Software Tool to Approximate Differential Equations Using Radial Basis Functions. Axioms 11(6): 294 (2022) - [j42]Pavlos Christodoulides, Andreas Miltiadous, Katerina D. Tzimourta, Dimitrios Peschos, Georgios Ntritsos, Victoria Zakopoulou, Nikolaos Giannakeas, Loukas G. Astrakas, Markos G. Tsipouras, Konstantinos I. Tsamis, Euripidis Glavas, Alexandros T. Tzallas:
Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool. Biomed. Signal Process. Control. 76: 103646 (2022) - [j41]Vasileios Christou, Kyriakos Koritsoglou, Georgios Ntritsos, Georgios Tsoumanis, Markos G. Tsipouras, Nikolaos Giannakeas, Evripidis Glavas, Alexandros T. Tzallas:
Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement. Expert Syst. Appl. 203: 117488 (2022) - [j40]Ioannis G. Tsoulos, Alexandros T. Tzallas:
An improved multi-start-based method for global optimisation problems. Int. J. Comput. Intell. Stud. 11(2): 73-93 (2022) - [j39]Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis, Ioannis G. Tsoulos, Alexandros T. Tzallas, Christos Gogos, Markos G. Tsipouras, Evripidis Glavas, Avraam Ploumis, Nikolaos Giannakeas:
Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method. Inf. 13(2): 101 (2022) - [j38]Alexandros Arjmand, Odysseas Tsakai, Vasileios Christou, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Robert D. Goldin, Christos Gogos, Evripidis Glavas, Nikolaos Giannakeas:
Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images. Inf. 13(4): 160 (2022) - [j37]Georgios Tsoumanis, Nikolaos Giannakeas, Alexandros T. Tzallas, Evripidis Glavas, Kyriakos Koritsoglou, Evaggelos Karvounis, Konstantinos Bezas, Constantinos T. Angelis:
A Traffic-Load-Based Algorithm for Wireless Sensor Networks' Lifetime Extension. Inf. 13(4): 202 (2022) - [j36]Vasileios Aspiotis, Andreas Miltiadous, Konstantinos Kalafatakis, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Dimitrios Peschos, Euripidis Glavas, Alexandros T. Tzallas:
Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG. Sensors 22(15): 5792 (2022) - [j35]Vasileios Christou, Andreas Miltiadous, Ioannis G. Tsoulos, Evaggelos Karvounis, Katerina D. Tzimourta, Markos G. Tsipouras, Nikolaos P. Anastasopoulos, Alexandros T. Tzallas, Nikolaos Giannakeas:
Evaluating the Window Size's Role in Automatic EEG Epilepsy Detection. Sensors 22(23): 9233 (2022) - [j34]Vasileios Charilogis, Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis:
Modifications for the Differential Evolution Algorithm. Symmetry 14(3): 447 (2022) - [j33]Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis:
Prediction of COVID-19 Cases Using Constructed Features by Grammatical Evolution. Symmetry 14(10): 2149 (2022) - [c56]Aristidis G. Anagnostakis, Nikolaos Giannakeas, Alexandros T. Tzallas, Markos G. Tsipouras, Euripidis Glavas:
A peer, "wallet-only" consensus schema for ownership transfer over finite populations. SEEDA-CECNSM 2022: 1-10 - [c55]Konstantinos Bezas, Georgios Tsoumanis, Kyriakos Koritsoglou, Konstantinos Oikonomou, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras, Constantinos T. Angelis:
A Fairness-aware Coverage Algorithm for Drone Swarms. SEEDA-CECNSM 2022: 1-5 - [c54]Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas:
Virtual and augmented experience in cultural places: The perspective of integration in the learning process. SEEDA-CECNSM 2022: 1-5 - [c53]Vasiliki Fiska, Sofia Evangelou, Nikolaos Giannakeas, Alexandros T. Tzallas, Pantelis Angelidis, Markos G. Tsipouras:
A non-invasive closed-loop diagnostic and therapeutic wearable device for diabetic hyperglycemia prevention: System Architecture. SEEDA-CECNSM 2022: 1-4 - [c52]Andreas Miltiadous, Vasileios Aspiotis, Konstantinos Sakkas, Nikolaos Giannakeas, Euripidis Glavas, Alexandros T. Tzallas:
An experimental protocol for exploration of stress in an immersive VR scenario with EEG. SEEDA-CECNSM 2022: 1-5 - [c51]Vasileios Nastos, Alexandros Arjmand, Klevis Tsakai, Dimitrios Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Nikolaos Giannakeas, Avraam Ploumis, Christos Gogos:
Human Activity Recognition using Machine Learning Techniques. SEEDA-CECNSM 2022: 1-5 - [c50]Georgios Prapas, Kosmas Glavas, Alexandros T. Tzallas, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras:
Motor Imagery Approach for BCI Game Development. SEEDA-CECNSM 2022: 1-5 - [c49]Konstantinos Sakkas, Niki Eleni Ntagka, Panagiota Vinni, Paraskevi Artemi, Aristidis G. Anagnostakis, Nikolaos Giannakeas, Katerina D. Tzimourta, Alexandros T. Tzallas, Euripidis Glavas:
A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4th IR era. SEEDA-CECNSM 2022: 1-6 - [c48]Konstantinos Sakkas, Alexandra Tsogka, Athanasios Gkimitzoudis, Nikolaos Giannakeas, Katerina D. Tzimourta, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas:
Analysis of Emotions through the Use of Physiological Signals. SEEDA-CECNSM 2022: 1-7 - [c47]Konstantinos Sakkas, Alexandra Tsogka, Nikolaos Giannakeas, Katerina D. Tzimourta, Alexandros T. Tzallas, Euripidis Glavas:
Applied Virtual Reality in 3D Geometry. SEEDA-CECNSM 2022: 1-5 - [c46]Yannis Misirlis, Katerina D. Tzimourta, Pantelis Angelidis, Nikolaos Giannakeas, Alexandros T. Tzallas, Markos G. Tsipouras:
Pediatric Epilepsy Assessment Based on EEG Analysis. TSP 2022: 377-380 - [c45]Kosmas Glavas, Georgios Prapas, Katerina D. Tzimourta, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
Intra-User Analysis Based on Brain-Computer Interface Controlled Game. TSP 2022: 386-390 - 2021
- [j32]Alexandros Arjmand, Vasileios Christou, Ioannis G. Tsoulos, Markos G. Tsipouras, Alexandros T. Tzallas, Christos Gogos, Euripidis Glavas, Nikolaos Giannakeas:
An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images. Array 11: 100078 (2021) - [j31]Ioannis G. Tsoulos, Alexandros T. Tzallas, Evaggelos Karvounis:
Improving the PSO method for global optimization problems. Evol. Syst. 12(4): 875-883 (2021) - [j30]Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis Angelidis, Dimitrios G. Tsalikakis, Markos G. Tsipouras:
Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review. Int. J. Neural Syst. 31(5): 2130002:1-2130002:33 (2021) - [j29]Evangelos Antoniou, Pavlos Bozios, Vasileios Christou, Katerina D. Tzimourta, Konstantinos Kalafatakis, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests. Sensors 21(7): 2339 (2021) - [j28]Aristidis G. Anagnostakis, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas:
IoT Micro-Blockchain Fundamentals. Sensors 21(8): 2784 (2021) - [j27]Ioannis G. Tsoulos, Evangelos Karvounis, Alexandros T. Tzallas:
A Novel Sampling Technique for Multistart-Based Methods. SN Comput. Sci. 2(1): 7 (2021) - [j26]Nikolaos P. Anastasopoulos, Ioannis G. Tsoulos, Alexandros T. Tzallas:
GenClass: A parallel tool for data classification based on Grammatical Evolution. SoftwareX 16: 100830 (2021) - [j25]Vasileios Charilogis, Ioannis G. Tsoulos, Alexandros T. Tzallas, Nikolaos P. Anastasopoulos:
An Improved Controlled Random Search Method. Symmetry 13(11): 1981 (2021) - [c44]Alexandros Arjmand, M. Pappas, Odysseas Tsakai, V. Christon, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Robert D. Goldin, Evripidis Glavas, Nikolaos Giannakeas:
Automated Quantification of Pancreatic Steatosis in Biopsy Images using a Classification Based System. SEEDA-CECNSM 2021: 1-5 - [c43]Vasileios Aspiotis, Dimitrios Peschos, Katerina D. Tzimourta, Markos G. Tsipouras, Al Husein Sami Abosaleh, Evangelos Antoniou, Nikolaos Giannakeas, Alexandros T. Tzallas, Euripidis Glavas:
Active touch classification using EEG signals. SEEDA-CECNSM 2021: 1-5 - [c42]Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Christos Gogos, Markos G. Tsipouras, Avraam Ploumis, Nikolaos Giannakeas:
Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals. SEEDA-CECNSM 2021: 1-5 - [c41]Vasiliki Fiska, Vasiliki Gakilazou, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
Automatic Parkinson's tremor assessment with data analysis from daily activities. SEEDA-CECNSM 2021: 1-5 - [c40]Evaggelos Karvounis, Maria G. Vavva, Nikolaos Giannakeas, Alexandros T. Tzallas, Ioannis Smanis, Markos G. Tsipouras:
A Hospital Healthcare Monitoring System Using Internet of Things Technologies. SEEDA-CECNSM 2021: 1-6 - [c39]Georgios Tsoumanis, Nikolaos Giannakeas, Alexandros T. Tzallas, Evripidis Glavas, Kyriakos Koritsoglou, Evaggelos Karvounis, Constantinos T. Angelis:
A Traffic Load-based Algorithm for Extending the Lifetime of Wireless Sensor Networks. SEEDA-CECNSM 2021: 1-5 - 2020
- [j24]Ioannis G. Tsoulos, Alexandros T. Tzallas, Markos G. Tsipouras, Vasileios Christou, Dimitrios G. Tsalikakis:
Stopping rules for a parallel genetic algorithm. Int. J. Comput. Intell. Stud. 9(1/2): 146-160 (2020) - [j23]Nikolaos P. Anastasopoulos, Ioannis G. Tsoulos, Evaggelos Karvounis, Alexandros T. Tzallas:
Locate the Bounding Box of Neural Networks with Intervals. Neural Process. Lett. 52(3): 2241-2251 (2020) - [j22]Kyriakos Koritsoglou, Vasileios Christou, Georgios Ntritsos, Georgios Tsoumanis, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation. Sensors 20(21): 6389 (2020) - [c38]Theodoros Lampros, Konstantinos Kalafatakis, Ioannis G. Violaris, Nikolaos Giannakeas, Alexandros T. Tzallas, Markos G. Tsipouras:
Fetal Heart Beat detection based on Empirical Mode Decomposition, Signal Quality Indices and Correlation Analysis. BIBE 2020: 847-852 - [c37]Vasiliki Fiska, Nikolaos Giannakeas, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Konstantinos Kalafatakis, Markos G. Tsipouras:
Motor data analysis of Parkinson's disease patients. BIBE 2020: 946-950 - [c36]Vasileios Christou, Georgios Ntritsos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas:
Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks. IJCNN 2020: 1-8 - [c35]Georgios Tsoumanis, Nikolaos Giannakeas, Alexandros T. Tzallas, Evripidis Glavas, Eleftherios Stergiou, Konstantinos Oikonomou, Constantinos T. Angelis:
A Lifetime Extension Framework for Wireless Sensor Networks. TSP 2020: 260-264 - [c34]Alexandros Arjmand, Vasileios Christou, Alexandros T. Tzallas, Markos G. Tsipouras, Constantinos T. Angelis, Georgios Tsoumanis, Evripidis Glavas, Roberta Forlano, Pinelopi Manousou, Nikolaos Giannakeas:
Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images. TSP 2020: 480-483
2010 – 2019
- 2019
- [j21]Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Maria Karatzikou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis A. Angelidis, Evripidis Glavas, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Markos G. Tsipouras:
Analysis of electroencephalographic signals complexity regarding Alzheimer's Disease. Comput. Electr. Eng. 76: 198-212 (2019) - [j20]Vasileios Christou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Gavin Brown:
Hybrid extreme learning machine approach for heterogeneous neural networks. Neurocomputing 361: 137-150 (2019) - [j19]Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis:
NNC: A tool based on Grammatical Evolution for data classification and differential equation solving. SoftwareX 10: 100297 (2019) - [c33]Panagiotis A. Bonotis, Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Alexandros T. Tzallas, Nikolaos Giannakeas, Evripidis Glavas, Markos G. Tsipouras:
Automated Assessment of Pain Intensity Based on EEG Signal Analysis. BIBE 2019: 583-588 - [c32]Eleftherios Stergiou, Constantinos T. Angelis, Nikolaos Giannakeas, Georgios Tsoumanis, Alexandros T. Tzallas, Evripidis Glavas:
Optimum Capacity over Power Consumption Requirements in MIMO Systems. TSP 2019: 415-419 - [c31]Alexandros Arjmand, Constantinos T. Angelis, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas, Roberta Forlano, Pinelopi Manousou, Nikolaos Giannakeas:
Deep Learning in Liver Biopsies using Convolutional Neural Networks. TSP 2019: 496-499 - 2018
- [j18]Vasileios Christou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
Hybrid extreme learning machine approach for homogeneous neural networks. Neurocomputing 311: 397-412 (2018) - [j17]Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis:
Evolutionary Based Weight Decaying Method for Neural Network Training. Neural Process. Lett. 47(2): 463-473 (2018) - [c30]Markos G. Tsipouras, Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Nikolaos Giannakeas, Alexandros T. Tzallas:
Random Forests with Stochastic Induction of Decision Trees. ICTAI 2018: 527-531 - [c29]Alexandros Arjmand, Alexandros T. Tzallas, Markos G. Tsipouras, Roberta Forlano, Pinelopi Manousou, Nikolaos S. Katertsidis, Nikolaos Giannakeas:
Fat Droplets Identification in Liver Biopsies using Supervised Learning Techniques. PETRA 2018: 434-440 - [c28]Alexandros T. Tzallas, Nikolaos S. Katertsidis, Konstantinos Glykos, Sofia Segkouli, Konstantinos Votis, Dimitrios Tzovaras, Cristian Barrué, Ioannis Paliokas, Ulises Cortés:
Designing a gamified social platform for people living with dementia and their live-in family caregivers. PETRA 2018: 476-481 - 2017
- [j16]Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Zoe E. Tsianou, Pinelopi Manousou, Andrew Hall, Ioannis G. Tsoulos, Epameinondas Tsianos:
A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques. Comput. Methods Programs Biomed. 140: 61-68 (2017) - [j15]Maria Tsiplakidou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Pinelopi Manousou:
Automated Detection of Liver Histopathological Findings Based on Biopsy Image Processing. Inf. 8(1): 36 (2017) - [c27]Nikolaos Giannakeas, Maria Tsiplakidou, Markos G. Tsipouras, Pinelopi Manousou, Roberta Forlano, Alexandros T. Tzallas:
Image Enhancement of Routine Biopsies: A Case for Liver Tissue Detection. BIBE 2017: 236-240 - [c26]Anna N. Ntagiou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
Protein Structure Recognition by Means of Sequential Pattern Mining. BIBE 2017: 334-339 - [c25]Ioannis Paliokas, Alexandros T. Tzallas, Nikolaos S. Katertsidis, Konstantinos Votis, Dimitrios Tzovaras:
Gamification in Social Networking: A Platform for People Living with Dementia and their Caregivers. BIBE 2017: 574-579 - [c24]Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, Markos G. Tsipouras, Dimitrios G. Tsalikakis, Nikolaos Giannakeas, Alexandros T. Tzallas, Pinelopi Manousou:
Automated Collagen Proportional Area Extraction in Liver Biopsy Images Using a Novel Classification via Clustering Algorithm. CBMS 2017: 30-34 - [c23]Katerina D. Tzimourta, Loukas G. Astrakas, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Spyridon Konitsiotis:
Wavelet Based Classification of Epileptic Seizures in EEG Signals. CBMS 2017: 35-39 - [c22]Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Maria G. Vavva, Maria Tsimplakidou, Evaggelos C. Karvounis, Roberta Forlano, Pinelopi Manousou:
Measuring Steatosis in Liver Biopsies Using Machine Learning and Morphological Imaging. CBMS 2017: 40-44 - [c21]Alexandros T. Tzallas, Nikolaos Giannakeas, Kostantinos N. Zoulis, Markos G. Tsipouras, Euripidis Glavas, Katerina D. Tzimourta, Loukas G. Astrakas, Spyridon Konitsiotis:
EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software. CBMS 2017: 349-353 - 2016
- [j14]Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis:
PDoublePop: An implementation of parallel genetic algorithm for function optimization. Comput. Phys. Commun. 209: 183-189 (2016) - [c20]Maria Tsiplakidou, Markos G. Tsipouras, Pinelopi Manousou, Nikolaos Giannakeas, Alexandros T. Tzallas:
Automated Hepatic Steatosis Assessment through Liver Biopsy Image Processing. CBI (2) 2016: 61-67 - 2015
- [j13]Libera Fresiello, Gianfranco Ferrari, Arianna Di Molfetta, Krzysztof Zielinski, Alexandros T. Tzallas, Steven Jacobs, Marek Darowski, Maciej Kozarski, Bart Meyns, Nikolaos S. Katertsidis, E. C. Karvounis, Markos G. Tsipouras, Maria Giovanna Trivella:
A cardiovascular simulator tailored for training and clinical uses. J. Biomed. Informatics 57: 100-112 (2015) - [c19]Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Kalliroi Kyriakidi, Zoe E. Tsianou, Pinelopi Manousou, Andrew Hall, Evaggelos Karvounis, Vasileios Tsianos, Epameinondas Tsianos:
A clustering based method for collagen proportional area extraction in liver biopsy images. EMBC 2015: 3097-3100 - 2014
- [j12]Alexandros T. Tzallas, Nikolaos S. Katertsidis, Evaggelos Karvounis, Markos G. Tsipouras, George Rigas, Yorgos Goletsis, Krzysztof Zielinski, Libera Fresiello, Arianna Di Molfetta, Gianfranco Ferrari, John V. Terrovitis, Maria Giovanna Trivella, Dimitrios I. Fotiadis:
Modeling and simulation of speed selection on left ventricular assist devices. Comput. Biol. Medicine 51: 128-139 (2014) - [j11]Jorge Cancela, Matteo Pastorino, Alexandros T. Tzallas, Markos G. Tsipouras, Giorgios Rigas, María Teresa Arredondo, Dimitrios I. Fotiadis:
Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors. Sensors 14(9): 17235-17255 (2014) - [j10]Alexandros T. Tzallas, Markos G. Tsipouras, Georgios Rigas, Dimitrios G. Tsalikakis, Evaggelos Karvounis, Maria Chondrogiorgi, Fotis Psomadellis, Jorge Cancela, Matteo Pastorino, María Teresa Arredondo Waldmeyer, Spiros Konitsiotis, Dimitrios I. Fotiadis:
PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson's Disease. Sensors 14(11): 21329-21357 (2014) - [c18]Markos G. Tsipouras, Alexandros T. Tzallas, Evaggelos Karvounis, Dimitrios G. Tsalikakis, Jorge Cancela, Matteo Pastorino, María Teresa Arredondo Waldmeyer, Spiros Konitsiotis, Dimitrios I. Fotiadis:
A wearable system for long-term ubiquitous monitoring of common motor symptoms in patients with Parkinson's disease. BHI 2014: 173-176 - [c17]Ioannis G. Tsoulos, Alexandros T. Tzallas, Euripidis Glavas:
A-Class: a novel classification method. Panhellenic Conference on Informatics 2014: 42:1-42:2 - 2013
- [j9]Evanthia E. Tripoliti, Alexandros T. Tzallas, Markos G. Tsipouras, George Rigas, Panagiota Bougia, Michael Leontiou, Spiros Konitsiotis, Maria Chondrogiorgi, Sofia Tsouli, Dimitrios I. Fotiadis:
Automatic detection of freezing of gait events in patients with Parkinson's disease. Comput. Methods Programs Biomed. 110(1): 12-26 (2013) - [c16]Dimitrios G. Tsalikakis, Ioannis Nakos, Alexandros T. Tzallas, Evaggelos Karvounis, Markos G. Tsipouras:
Effects of Exercise in Diabetic Rats Using Continuous Wavelet Transform. AMBI-SYS 2013: 41-49 - [c15]Ioannis Smanis, George Poursanidis, Pantelis A. Angelidis, Alexandros T. Tzallas, Dimitrios G. Tsalikakis:
Managing Children's Asthma with a Low Cost Web-Enabled Multifunctional Device. AMBI-SYS 2013: 50-64 - [c14]Paschalis A. Bizopoulos, Dimitrios G. Tsalikakis, Alexandros T. Tzallas, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
EEG epileptic seizure detection using k-means clustering and marginal spectrum based on ensemble empirical mode decomposition. BIBE 2013: 1-4 - [c13]Christos I. Salis, Anastasios E. Malissovas, Paschalis A. Bizopoulos, Alexandros T. Tzallas, Pantelis A. Angelidis, Dimitrios G. Tsalikakis:
Denoising simulated EEG signals: A comparative study of EMD, wavelet transform and Kalman filter. BIBE 2013: 1-4 - [c12]Markos G. Tsipouras, Evaggelos C. Karvounis, Alexandros T. Tzallas, Nikolaos S. Katertsidis, Yorgos Goletsis, Maria Frigerio, Alessandro Verde, Maria Giovanna Trivella, Dimitrios I. Fotiadis:
Adverse event prediction in patients with left ventricular assist devices. EMBC 2013: 1314-1317 - [c11]Paschalis A. Bizopoulos, Tarik Al-Ani, Dimitrios G. Tsalikakis, Alexandros T. Tzallas, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
An automatic electroencephalography blinking artefact detection and removal method based on template matching and ensemble empirical mode decomposition. EMBC 2013: 5853-5856 - [e1]Constantinos T. Angelis, Dimitrios I. Fotiadis, Alexandros T. Tzallas:
Ambient Media and Systems - Third International ICST Conference, AMBI-SYS 2013, Athens, Greece, March 15, 2013, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 118, Springer 2013, ISBN 978-3-319-04101-8 [contents] - 2012
- [j8]Markos G. Tsipouras, Alexandros T. Tzallas, George Rigas, Sofia Tsouli, Dimitrios I. Fotiadis, Spiros Konitsiotis:
An automated methodology for levodopa-induced dyskinesia: Assessment based on gyroscope and accelerometer signals. Artif. Intell. Medicine 55(2): 127-135 (2012) - [j7]Themis P. Exarchos, Alexandros T. Tzallas, Dina Baga, Dimitra Chaloglou, Dimitrios I. Fotiadis, Sofia Tsouli, Maria Diakou, Spiros Konitsiotis:
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 42(2): 195-204 (2012) - [j6]George Rigas, Alexandros T. Tzallas, Markos G. Tsipouras, Panagiota Bougia, Evanthia E. Tripoliti, Dina Baga, Dimitrios I. Fotiadis, Sofia Tsouli, Spiros Konitsiotis:
Assessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensors. IEEE Trans. Inf. Technol. Biomed. 16(3): 478-487 (2012) - [c10]Evaggelos Karvounis, Kostas A. Stefanou, Themis P. Exarchos, Alexandros T. Tzallas, Markos G. Tsipouras, Dimitrios I. Fotiadis:
A treatment decision support system for patients receiving Ventricular Assist Device (VAD) therapy. BHI 2012: 695-698 - [c9]Alexandros T. Tzallas, George Rigas, Evaggelos Karvounis, Markos G. Tsipouras, Yorgos Goletsis, Krzysztof Zielinski, Libera Fresiello, Dimitrios I. Fotiadis, Maria Giovanna Trivella:
A Gaussian Mixture Model to detect suction events in rotary blood pumps. BIBE 2012: 127-131 - [c8]Evaggelos C. Karvounis, Markos G. Tsipouras, Alexandros T. Tzallas, Yorgos Goletsis, Dimitrios I. Fotiadis, John V. Terrovitis, Maria Giovanna Trivella:
Knowledge editor and execution engine development for optimal ventricular assist device weaning. EMBC 2012: 1262-1265 - [c7]Markos G. Tsipouras, Evaggelos C. Karvounis, Alexandros T. Tzallas, Yorgos Goletsis, Dimitrios I. Fotiadis, Stamatis Adamopoulos, Maria Giovanna Trivella:
Automated knowledge-based fuzzy models generation for weaning of patients receiving Ventricular Assist Device (VAD) therapy. EMBC 2012: 2206-2209 - 2011
- [c6]Markos G. Tsipouras, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Spyridon Konitsiotis:
On automated assessment of Levodopa-induced dyskinesia in Parkinson's disease. EMBC 2011: 2679-2682 - 2010
- [c5]Markos G. Tsipouras, Alexandros T. Tzallas, Evanthia E. Tripoliti, Georgios Rigas, Panagiota Bougia, Dimitrios I. Fotiadis, Sofia Tsouli, Spiros Konitsiotis:
On Assessing Motor Disorders in Parkinson's Disease. MobiHealth 2010: 35-38
2000 – 2009
- 2009
- [j5]Alexandros T. Tzallas, Markos G. Tsipouras, Dimitrios I. Fotiadis:
Epileptic Seizure Detection in EEGs Using Time-Frequency Analysis. IEEE Trans. Inf. Technol. Biomed. 13(5): 703-710 (2009) - 2008
- [j4]Petros S. Karvelis, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Ioannis Georgiou:
A Multichannel Watershed-Based Segmentation Method for Multispectral Chromosome Classification. IEEE Trans. Medical Imaging 27(5): 697-708 (2008) - 2007
- [j3]Alexandros T. Tzallas, Markos G. Tsipouras, Dimitrios I. Fotiadis:
Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks. Comput. Intell. Neurosci. 2007 (2007) - [j2]Vangelis P. Oikonomou, Alexandros T. Tzallas, Dimitrios I. Fotiadis:
A Kalman filter based methodology for EEG spike enhancement. Comput. Methods Programs Biomed. 85(2): 101-108 (2007) - [c4]Alexandros T. Tzallas, Markos G. Tsipouras, Dimitrios I. Fotiadis:
A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings. CBMS 2007: 135-140 - [c3]Petros S. Karvelis, Dimitrios I. Fotiadis, Alexandros T. Tzallas, Ioannis Georgiou:
Region Based Segmentation and Classification of Multispectral Chromosome Images. CBMS 2007: 251-256 - 2006
- [j1]Themis P. Exarchos, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Spiros Konitsiotis, Sotirios Giannopoulos:
EEG Transient Event Detection and Classification Using Association Rules. IEEE Trans. Inf. Technol. Biomed. 10(3): 451-457 (2006) - [c2]Alexandros T. Tzallas, Vangelis P. Oikonomou, Dimitrios I. Fotiadis:
Epileptic Spike Detection Using a Kalman Filter Based Approach. EMBC 2006: 501-504 - 2005
- [c1]Themis P. Exarchos, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Spiros Konitsiotis, Sotirios Giannopoulos:
A Data Mining Based Approach for the EEG Transient Event Detection and Classification. CBMS 2005: 35-40
Coauthor Index
aka: Euripidis Glavas
aka: Spyridon Konitsiotis
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