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Lefteri H. Tsoukalas
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2020 – today
- 2023
- [c48]Dimitrios Kontogiannis, Dimitrios Bargiotas, Aspassia Daskalopulu, Lefteri H. Tsoukalas:
Explainability Analysis of Weather Variables in Short- Term Load Forecasting. IISA 2023: 1-8 - 2022
- [j28]Stella Pantopoulou
, Victoria Ankel, Matthew T. Weathered, Darius D. Lisowski
Monitoring of Temperature Measurements for Different Flow Regimes in Water and Galinstan with Long Short-Term Memory Networks and Transfer Learning of Sensors. Comput. 10(7): 108 (2022) - [c47]Maria Pantopoulou, Stella Pantopoulou, Madeleine Roberts, Derek Kultgen, Lefteri H. Tsoukalas, Alexander Heifetz:
Monitoring and Secure Communications for Small Modular Reactors. DDDAS 2022: 144-151 - 2021
- [c46]Maria D. Karasimou, Olga Mousiari, Lefteri H. Tsoukalas:
Renewable Energy Sources and Impact on GDP Growth. IISA 2021: 1-6 - [c45]Stella Pantopoulou, Maria Pantopoulou, Lefteri H. Tsoukalas:
Secure Decision Making and Inference in Critical Systems. IISA 2021: 1-4 - [i1]Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris:
Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending. CoRR abs/2104.14715 (2021) - 2020
- [j27]Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris:
Systematic Construction of Neural Forms for Solving Partial Differential Equations Inside Rectangular Domains, Subject to Initial, Boundary and Interface Conditions. Int. J. Artif. Intell. Tools 29(5): 2050009:1-2050009:12 (2020) - [j26]Pola Lydia Lagari, Lefteri H. Tsoukalas, Isaac E. Lagaris:
Variance Counterbalancing for Stochastic Large-scale Learning. Int. J. Artif. Intell. Tools 29(5): 2050010:1-2050010:10 (2020) - [c44]Styliani Pantopoulou, Pola Lydia Lagari, Clive H. Townsend, Lefteri H. Tsoukalas:
Data-Based Defense-in-Depth of Critical Systems. DDDAS 2020: 283-290 - [c43]Maria D. Karasimou, Vasileios Antonenas, Vasileios Laitsos, Vasileios Polychronides, Lefteri H. Tsoukalas:
Comparative Energy Information Analytics of Five European Economies. IISA 2020: 1-4 - [c42]Maria D. Karasimou, Vasileios Antonenas, Vasileios Laitsos, Vasileios Polychronides, Lefteri H. Tsoukalas:
Intelligent Data Analytics from the Energy Economics of the Greek Debt Crisis. IISA 2020: 1-7 - [c41]Styliani Pantopoulou, Pola Lydia Lagari, Clive H. Townsend, Lefteri H. Tsoukalas:
Critical Systems under Cyber Threats. IISA 2020: 1-4
2010 – 2019
- 2018
- [j25]Miltiadis Alamaniotis
Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems. Eng. Appl. Artif. Intell. 71: 138-154 (2018) - [c40]Rafik Fainti, Maria D. Karasimou, Ioannis Tsionas, Lefteri H. Tsoukalas, Miltiadis Alamaniotis:
Load Management of Electric Vehicles Charging in New Generation Power Markets Based on Fuzzy Logic and the Concept of Virtual Budget. IISA 2018: 1-6 - [p1]Antonia Nasiakou, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Manolis Vavalis:
Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods. Handbook of Dynamic Data Driven Applications Systems 2018: 505-526 - [e1]Lefteri H. Tsoukalas, Éric Grégoire, Miltiadis Alamaniotis:
IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece. IEEE 2018 [contents] - 2017
- [j24]Anna Esposito
Editorial. Int. J. Artif. Intell. Tools 26(1): 1702001:1-1702001:5 (2017) - [c39]Miltiadis Alamaniotis
Fuzzy Multi-kernel Approach in Intelligent Control of Energy Consumption in Smart Cities. ICTAI 2017: 1021-1028 - [c38]Rafik Fainti, Miltiadis Alamaniotis
Ampacity level monitoring utilizing fuzzy logic theory in deregulated power markets. IISA 2017: 1-6 - [c37]Antonia Nasiakou, Miltiadis Alamaniotis
A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm. IISA 2017: 1-6 - 2016
- [j23]Miltiadis Alamaniotis
Fusion of Gaussian Process Kernel Regressors for Fault Prediction in Intelligent Energy Systems. Int. J. Artif. Intell. Tools 25(4): 1650023:1-1650023:17 (2016) - [j22]Rafik Fainti, Miltiadis Alamaniotis
Backpropagation Neural Network for Interval Prediction of Three-Phase Ampacity Level in Power Systems. Int. J. Monit. Surveillance Technol. Res. 4(3): 1-20 (2016) - [j21]Rafik Fainti, Antonia Nasiakou, Miltiadis Alamaniotis
Hierarchical Method Based on Artificial Neural Networks for Power Output Prediction of a Combined Cycle Power Plant. Int. J. Monit. Surveillance Technol. Res. 4(4): 20-32 (2016) - [j20]Pola Lydia Lagari, Vladimir Sobes, Miltiadis Alamaniotis
Application of Artificial Neural Networks to Reliable Nuclear Data for Nonproliferation Modeling and Simulation. Int. J. Monit. Surveillance Technol. Res. 4(4): 54-64 (2016) - [c36]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Anticipatory system for detection of hidden facilities utilizing nodal load consumption information in smart grids. GlobalSIP 2016: 806-810 - [c35]Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Mark Buckner:
Privacy-Driven Electricity Group Demand Response in Smart Cities Using Particle Swarm Optimization. ICTAI 2016: 946-953 - [c34]Rafik Fainti, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Three-phase congestion prediction utilizing artificial neural networks. IISA 2016: 1-5 - [c33]Pola Lydia Lagari, Antonia Nasiakou, Rafik Fainti, Keyou Mao
Evaluation of Human Machine Interface (HMI) in Nuclear Power Plants with Fuzzy Logic method. IISA 2016: 1-6 - [c32]Antonia Nasiakou, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
MatGridGUI - A toolbox for GridLAB-D simulation platform. IISA 2016: 1-5 - [c31]Miltiadis Alamaniotis, Antonia Nasiakou, Rafik Fainti, Lefteri H. Tsoukalas:
Leaky bucket approach implementing anticipatory control for nodal power flow management in smart energy systems. ISGT Europe 2016: 1-6 - [c30]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Implementing smart energy systems: Integrating load and price forecasting for single parameter based demand response. ISGT Europe 2016: 1-6 - [c29]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Multi-kernel anticipatory approach to intelligent control with application to load management of electrical appliances. MED 2016: 1290-1295 - 2015
- [j19]Vasiliki Chrysikou, Miltiadis Alamaniotis
A Review of Incentive Based Demand Response Methods in Smart Electricity Grids. Int. J. Monit. Surveillance Technol. Res. 3(4): 62-73 (2015) - [j18]Miltiadis Alamaniotis
Application of Fireworks Algorithm in Gamma-Ray Spectrum Fitting for Radioisotope Identification. Int. J. Swarm Intell. Res. 6(2): 102-125 (2015) - [j17]Miltiadis Alamaniotis
Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids. IEEE Trans. Smart Grid 6(6): 2997-3005 (2015) - [c28]Miltiadis Alamaniotis, Nikolaos G. Bourbakis, Lefteri H. Tsoukalas:
Very-short term forecasting of electricity price signals using a Pareto composition of kernel machines in smart power systems. GlobalSIP 2015: 780-784 - [c27]Miltiadis Alamaniotis
Multiobjective Unfolding of Shared Power Consumption Pattern Using Genetic Algorithm for Estimating Individual Usage in Smart Cities. ICTAI 2015: 398-404 - [c26]Miltiadis Alamaniotis
Developing Intelligent Radiation Analysis Systems: A Hybrid Wave-Fuzzy Methodology for Analysis of Radiation Spectra. ICTAI 2015: 1114-1121 - [c25]Miltiadis Alamaniotis
Anomaly detection in radiation signals using kernel machine intelligence. IISA 2015: 1-6 - [c24]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Anticipation of minutes-ahead household active power consumption using Gaussian processes. IISA 2015: 1-6 - [c23]Nikolaos G. Bourbakis, Iosif Papadakis Ktistakis, Lefteri H. Tsoukalas, Miltiadis Alamaniotis:
An autonomous intelligent wheelchair for assisting people at need in smart homes: A case study. IISA 2015: 1-7 - 2014
- [j16]Miltiadis Alamaniotis
Assessment of Fuzzy Logic Radioisotopic Pattern Identifier on Gamma-Ray Signals with Application to Security. Int. J. Monit. Surveillance Technol. Res. 2(1): 1-21 (2014) - [j15]Stylianos Chatzidakis
Creep Rupture Forecasting: A Machine Learning Approach to Useful Life Estimation. Int. J. Monit. Surveillance Technol. Res. 2(2): 1-25 (2014) - [j14]Nikolaos G. Bourbakis, Lefteri H. Tsoukalas, Miltiadis Alamaniotis
Demos: A Distributed Model based on Autonomous, Intelligent Agents with Monitoring and Anticipatory Responses for Energy Management in Smart Cities. Int. J. Monit. Surveillance Technol. Res. 2(4): 81-99 (2014) - [c22]Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Nikolaos G. Bourbakis:
Virtual cost approach: Electricity consumption scheduling for smart grids/cities in price-directed electricity markets. IISA 2014: 38-43 - [c21]Stylianos Chatzidakis
Creep rupture forecasting for high performance energy systems. IISA 2014: 95-99 - [c20]Stylianos Chatzidakis
Chaotic neural networks for intelligent signal encryption. IISA 2014: 100-105 - 2013
- [j13]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Neuro-SVM Anticipatory System for Online Monitoring of Radiation and Abrupt Change Detection. Int. J. Monit. Surveillance Technol. Res. 1(2): 40-53 (2013) - [c19]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Layered-based approach to virtual storage for smart power systems. IISA 2013: 1-6 - 2012
- [j12]Miltiadis Alamaniotis
Optimal Assembly of Support Vector Regressors with Application to System Monitoring. Int. J. Artif. Intell. Tools 21(6) (2012) - 2010
- [c18]Miltiadis Alamaniotis, Rong Gao, Lefteri H. Tsoukalas:
Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization. ICST E-Energy 2010: 3-11 - [c17]Vivek Agarwal
Smart Grids: Importance of Power Quality. ICST E-Energy 2010: 136-143
2000 – 2009
- 2009
- [c16]Miltiadis Alamaniotis
Intelligent Order-Based Method for Synthesis of NRF Spectra and Detection of Hazardous Materials. ICTAI 2009: 658-665 - [c15]Miltiadis Alamaniotis
Expert System for Decision Making and Instructing Nuclear Resonance Fluorescence Cargo Interrogation. ICTAI 2009: 666-673 - [c14]Phillip Forsberg, Vivek Agarwal
PEAKSEEK: A Statistical Processing Algorithm for Radiation Spectrum Peak Identification. ICTAI 2009: 674-678 - [c13]Miltiadis Alamaniotis
Engineering Solution to Nuclear Material Detection at Ports: Introducing the Novel iMASS Paradigm. ICTAI 2009: 679-682 - 2007
- [j11]Junguo Bian, Rong Gao, Lefteri H. Tsoukalas:
Hazardous Material Identification Using a Neurofuzzy Methodology. Int. J. Artif. Intell. Tools 16(5): 901-906 (2007) - [c12]Christoph Martin Hoffmann, Emily T. Swain, Yunlin Xu, Thomas J. Downar, Lefteri H. Tsoukalas, Philip Top, Murat Senel, Mark R. Bell, Edward John Coyle, B. Loop, Dionysios Aliprantis, Oleg Wasynczuk, Sakis A. Meliopoulos:
DDDAS for Autonomic Interconnected Systems: The National Energy Infrastructure. International Conference on Computational Science (1) 2007: 1074-1082 - [c11]Rong Gao, Lefteri H. Tsoukalas:
Implementing Virtual Buffer for Electric Power Grids. International Conference on Computational Science (1) 2007: 1083-1089 - 2006
- [c10]Vivek Agarwal, Anton Bougaev, Lefteri H. Tsoukalas:
Kernel Regression Based Short-Term Load Forecasting. ICANN (2) 2006: 701-708 - [c9]Emily T. Swain, Yunlin Xu, Rong Gao, Thomas J. Downar, Lefteri H. Tsoukalas:
The Application of Neural Networks to Electric Power Grid Simulation. ICANN (2) 2006: 736-745 - 2003
- [j10]Rong Gao, S. Basseas, Dimitrios T. Bargiotas, Lefteri H. Tsoukalas:
Next-generation hearing prosthetics. IEEE Robotics Autom. Mag. 10(1): 21-25 (2003) - 2001
- [j9]Yannis A. Tolias, Stavros M. Panas, Lefteri H. Tsoukalas:
Generalized fuzzy indices for similarity matching. Fuzzy Sets Syst. 120(2): 255-270 (2001) - [j8]Rong Gao, E. Eryurek, Lefteri H. Tsoukalas:
A Novel Neural-Wavelet Diagnostics Approach: Application to Magnetic Flowmeter. Int. J. Artif. Intell. Tools 10(3): 421-429 (2001) - [j7]Rong Gao, Lefteri H. Tsoukalas:
Neural-wavelet Methodology for Load Forecasting. J. Intell. Robotic Syst. 31(1-3): 149-157 (2001) - [j6]Vassilios S. Verykios
Automating the analysis of option pricing algorithms through intelligent knowledge acquisition approaches. IEEE Trans. Syst. Man Cybern. Part A 31(6): 573-586 (2001) - 2000
- [c8]A. Radhakrishnan, V. Viswanathan, Rong Gao, Lefteri H. Tsoukalas, S. Basseas:
New Generation Intelligent Hearing Prosthetics. BIBE 2000: 270-274
1990 – 1999
- 1999
- [c7]Rong Gao, Y. Liu, S. Basseas, Lefteri H. Tsoukalas:
Neurofuzzy Approaches for Advanced Hearing Devices. ICTAI 1999: 327-331 - [c6]Xin Wang, Thomas Y. C. Wei, Jaques Reifman, Lefteri H. Tsoukalas:
Signal Trend Identification with Fuzzy Methods. ICTAI 1999: 332- - 1998
- [j5]Robert E. Uhrig, Lefteri H. Tsoukalas:
Neurofuzzy Approaches and Their Application to Nuclear Power Systems. Comput. Artif. Intell. 17(2-3): 169-188 (1998) - [j4]Konstantinos N. Pantazopoulos, Lefteri H. Tsoukalas, Nikolaos G. Bourbakis, M. J. Brun, Elias N. Houstis:
Financial prediction and trading strategies using neurofuzzy approaches. IEEE Trans. Syst. Man Cybern. Part B 28(4): 520-531 (1998) - [j3]Lefteri H. Tsoukalas:
Neurofuzzy approaches to anticipation: a new paradigm for intelligent systems. IEEE Trans. Syst. Man Cybern. Part B 28(4): 573-582 (1998) - 1997
- [j2]Lefteri H. Tsoukalas:
Neurofuzzy Anticipatory Systems: A New Approach to Intelligent Control. Int. J. Artif. Intell. Tools 6(3): 365-395 (1997) - [j1]Lefteri H. Tsoukalas, Elias N. Houstis, G. V. Jones:
Neurofuzzy Motion Planners for Intelligent Robots. J. Intell. Robotic Syst. 19(3): 339-356 (1997) - [c5]Konstantinos N. Pantazopoulos, Lefteri H. Tsoukalas, Elias N. Houstis:
Neurofuzzy characterization of financial time series in an anticipatory framework. CIFEr 1997: 50-56 - [c4]A. Likartsis, I. Vlachavas, Lefteri H. Tsoukalas:
A New Hybrid Neural-Genetic Methodology for Improving Learning. ICTAI 1997: 32-36 - 1990
- [c3]Lefteri H. Tsoukalas, R. C. Berkan, Belle R. Upadhyaya, Robert E. Uhrig, R. A. Kisner:
Expert system driven fuzzy control application to power reactors. TAI 1990: 445-450 - [c2]Lefteri H. Tsoukalas, J. Reyes-Jimenez:
A Hybrid Expert System - Neural Networks Methodology for Anticipatory Control in a Process Environment. IEA/AIE (Vol. 2) 1990: 1045-1053
1980 – 1989
- 1989
- [c1]Lefteri H. Tsoukalas, G. W. Lee, M. Ragheb:
Anticipatory monitoring and control in a process environment. IEA/AIE (1) 1989: 278-287
Coauthor Index
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