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Miltos Alamaniotis
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2020 – today
- 2023
[j30]Miltos Alamaniotis:
Book Review. Intell. Decis. Technol. 17(1): 9-10 (2023)- [j29]Athanasios Fevgas
, Leonidas Akritidis, Miltiadis Alamaniotis, Panagiota E. Tsompanopoulou, Panayiotis Bozanis:
HyR-tree: a spatial index for hybrid flash/3D XPoint storage. Neural Comput. Appl. 35(1): 133-145 (2023) - [j28]Leonidas Akritidis, Miltiadis Alamaniotis, Panayiotis Bozanis:
FLAGR: A flexible high-performance library for rank aggregation. SoftwareX 21: 101319 (2023) - [c56]Miltiadis Alamaniotis:
The Chameleon Systems: A new Approach in Anticipatory based Decision Making Systems with Application to Electricity Markets. ICTAI 2023: 38-45 - [c55]Leonidas Akritidis, Athanasios Fevgas, Miltiadis Alamaniotis, Panayiotis Bozanis:
Conditional Data Synthesis with Deep Generative Models for Imbalanced Dataset Oversampling. ICTAI 2023: 444-451 - [c54]Athanasios Ioannis Arvanitidis, Luis Arturo Valdez, Miltiadis Alamaniotis:
A Quantum Machine Learning Methodology for Precise Appliance Identification in Smart Grids. IISA 2023: 1-6 - [c53]Elham Gharibshahi, Dimitrios Miserlis, Miltiadis Alamaniotis:
Investigation of Novel Muon Imaging System in Cardiovascular Operations: A Simulation Approach. IISA 2023: 1-4 - [c52]Yuvaraj Munian, Antonio Martinez-Molina, Miltiadis Alamaniotis:
Comparative Analysis of Thermogram and Pre-Processed HoG Images Using Machine Learning Classifiers. IISA 2023: 1-8 - [c51]Hadi Shahabinejad, Davorin Sudac, Miltiadis Alamaniotis, Karlo Nad, Jasmina Objodas:
Bulk Sample Analysis Using Associated Alpha Particle Neutron Generator and Artificial Neural Network. IISA 2023: 1-4 - [c50]Michael Squire, Miltiadis Alamaniotis:
Synergism of Fuzzy Numbers and Data Smoothing for Abrupt Change Detection in Gamma-Ray Measurements. IISA 2023: 1-6 - 2022
- [j27]Yuvaraj Munian, Antonio Martinez-Molina, Dimitrios Miserlis, Hermilo Hernandez, Miltiadis Alamaniotis:
Intelligent System Utilizing HOG and CNN for Thermal Image-Based Detection of Wild Animals in Nocturnal Periods for Vehicle Safety. Appl. Artif. Intell. 36(1) (2022) - [j26]Cristina Nichiforov, Antonio Martinez-Molina, Miltiadis Alamaniotis:
An intelligent big data analytics method for two-dimensional non-residential building energy forecasting. Intell. Decis. Technol. 16(4): 691-698 (2022) - [j25]Leonidas Akritidis, Miltiadis Alamaniotis, Athanasios Fevgas, Panagiota E. Tsompanopoulou, Panayiotis Bozanis:
Improving Hierarchical Short Text Clustering through Dominant Feature Learning. Int. J. Artif. Intell. Tools 31(5): 2250034:1-2250034:24 (2022) - [j24]Shimei Pan, Miltos Alamaniotis:
Editorial. Int. J. Artif. Intell. Tools 31(7): 2202007:1 (2022) - [c49]Reynaldo Gonzalez, Sara Ahmed, Miltiadis Alamaniotis:
Deep Neural Network Based Methodology for Very-Short-Term Residential Load Forecasting. IISA 2022: 1-6 - [c48]Siyao Gu, Miltiadis Alamaniotis:
Radiation Sensor Placement using Reinforcement Learning in Nuclear Security Applications. IISA 2022: 1-6 - [c47]Dimitrios Miserlis, Yuvaraj Munian, William T. Bohannon, Marissa Wechsler, Miguel Montero-Baker, Lucas Ferrer-Cardona, Mark G. Davies, Panagiotis Koutakis, Miltiadis Alamaniotis:
Convolutional Neural Network Analysis of Tissue Remodeling and Myopathy in Peripheral Arterial Disease. IISA 2022: 1-8 - [c46]Miltiadis Alamaniotis:
Multi-kernel Analysis Method for Intelligent Data Processing with Application to Prediction Making. KES-IDT 2022: 279-288 - 2021
- [j23]Yuvaraj Munian, Antonio Martinez-Molina, Miltiadis Alamaniotis:
Active advanced arousal system to alert and avoid the crepuscular animal based vehicle collision. Intell. Decis. Technol. 15(4): 707-720 (2021) - [j22]Luke Holbrook, Miltiadis Alamaniotis:
Survey of Machine Learning Algorithms to Detect Malware in Consumer Internet of Things Devices. Int. J. Artif. Intell. Tools 30(4): 2150020:1-2150020:21 (2021) - [c45]Leonidas Akritidis, Miltiadis Alamaniotis, Athanasios Fevgas, Panayiotis Bozanis:
A Scalable Short-Text Clustering Algorithm Using Apache Spark. ICTAI 2021: 927-934 - [c44]Miltiadis Alamaniotis:
Fuzzy Integration of kernel-based Gaussian Processes applied to Anomaly Detection in Nuclear Security. IISA 2021: 1-4 - [c43]Yuvaraj Munian, Antonio Martinez-Molina, Miltiadis Alamaniotis:
Comparison of Image segmentation, HOG and CNN Techniques for the Animal Detection using Thermography Images in Automobile Applications. IISA 2021: 1-8 - [c42]Siyao Gu, Miltiadis Alamaniotis:
Irradiation-Driven Dynamic Path-Planning of Moving Airborne Solar Farms Using Reinforcement Learning. ISGT-Europe 2021: 1-5 - [c41]Cristina Nichiforov, Miltiadis Alamaniotis:
Load-Based Classification of Academic Buildings using Matrix Profile and Supervised Learning. ISGT-Europe 2021: 1-5 - 2020
- [j21]Nafiseh Ebrahimi, Teja Guda, Miltiadis Alamaniotis, Dimitrios Miserlis, Amir Jafari:
Design Optimization of a Novel Networked Electromagnetic Soft Actuators System Based on Branch and Bound Algorithm. IEEE Access 8: 119324-119335 (2020) - [j20]Miltiadis Alamaniotis:
Fuzzy Leaky Bucket System for Intelligent Management of Consumer Electricity Elastic Load in Smart Grids. Frontiers Artif. Intell. 3: 1 (2020) - [c40]Yonggun Lee, Miltiadis Alamaniotis:
Unsupervised EEG Cybersickness Prediction with Deep Embedded Self Organizing Map. BIBE 2020: 538-542 - [c39]Dimitrios Miserlis, Amir Jafari, Teja Guda, Miltiadis Alamaniotis:
Fuzzy Logic Navigation System for Autonomous Endovascular Operations. BIBE 2020: 865-870 - [c38]Garrett Goodman, Quinn Hirt, Cogan Shimizu, Iosif Papadakis Ktistakis, Miltiadis Alamaniotis, Nikolaos G. Bourbakis:
Methods for Prediction Optimization of the Constrained State-Preserved Extreme Learning Machine. ICTAI 2020: 639-646 - [c37]Leonidas Akritidis, Miltiadis Alamaniotis, Athanasios Fevgas, Panayiotis Bozanis:
Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections. ICTAI 2020: 813-820 - [c36]Yuvaraj Munian, Antonio Martinez-Molina, Miltiadis Alamaniotis:
Intelligent System for Detection of Wild Animals Using HOG and CNN in Automobile Applications. IISA 2020: 1-8
2010 – 2019
- 2019
- [c35]Luke Holbrook, Miltiadis Alamaniotis:
Internet of Things Security Analytics and Solutions with Deep Learning. ICTAI 2019: 178-185 - [c34]Leonidas Akritidis, Athanasios Fevgas, Panayiotis Bozanis, Miltiadis Alamaniotis:
A Self-Pruning Classification Model for News. IISA 2019: 1-6 - [c33]Manan Bhagat, Miltiadis Alamaniotis, Athanasios Fevgas:
Extreme Interval Electricity Price Forecasting of Wholesale Markets Integrating ELM and Fuzzy Inference. IISA 2019: 1-4 - [c32]Athanasios Fevgas, Leonidas Akritidis, Miltiadis Alamaniotis, Panagiota E. Tsompanopoulou, Panayiotis Bozanis:
A Study of R-tree Performance in Hybrid Flash/3DXPoint Storage. IISA 2019: 1-6 - [c31]Miltiadis Alamaniotis:
Synergism of Deep Neural Network and ELM for Smart Very-Short-Term Load Forecasting. ISGT Europe 2019: 1-5 - 2018
- [j19]Jino Mathew, James M. Griffin, Miltiadis Alamaniotis, Stratis Kanarachos, Michael E. Fitzpatrick:
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems. Appl. Soft Comput. 70: 131-146 (2018) - [j18]Miltiadis Alamaniotis, Jino Mathew, Alexander Chroneos, Michael E. Fitzpatrick, Lefteri H. Tsoukalas:
Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems. Eng. Appl. Artif. Intell. 71: 138-154 (2018) - [c30]Miltiadis Alamaniotis, Iosif Papadakis Ktistakis:
Fuzzy Leaky Bucket with Application to Coordinating Smart Appliances in Smart Homes. ICTAI 2018: 878-883 - [c29]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 - [c28]Miltiadis Alamaniotis:
Morphing to the Mean Approach of Anticipated Electricity Demand in Smart City Partitions Using Citizen Elasticities. ISC2 2018: 1-7 - [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
- [j17]Amol Dattatraya Mali, Miltiadis Alamaniotis:
Editorial. Int. J. Artif. Intell. Tools 26(5): 1702004:1-1702004:1 (2017) - [j16]Miltiadis Alamaniotis, Georgios Karagiannis:
Integration of Gaussian Processes and Particle Swarm Optimization for Very-Short Term Wind Speed Forecasting in Smart Power. Int. J. Monit. Surveillance Technol. Res. 5(3): 1-14 (2017) - [c27]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Fuzzy Multi-kernel Approach in Intelligent Control of Energy Consumption in Smart Cities. ICTAI 2017: 1021-1028 - [c26]Rafik Fainti, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Maria D. Karasimou, Ioannis Tsionas:
Ampacity level monitoring utilizing fuzzy logic theory in deregulated power markets. IISA 2017: 1-6 - [c25]Antonia Nasiakou, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Georgios Karagiannis:
A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm. IISA 2017: 1-6 - 2016
- [j15]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
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) - [j14]Pola Lydia Lagari, Antonia Nasiakou, Miltiadis Alamaniotis:
Evaluation of Human Machine Interface (HMI) on a Digital and Analog Control Room in Nuclear Power Plants Using a Fuzzy Logic Approach. Int. J. Monit. Surveillance Technol. Res. 4(2): 50-68 (2016) - [j13]Rafik Fainti, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
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) - [j12]Rafik Fainti, Antonia Nasiakou, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
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) - [j11]Pola Lydia Lagari, Vladimir Sobes, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
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) - [c24]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Anticipatory system for detection of hidden facilities utilizing nodal load consumption information in smart grids. GlobalSIP 2016: 806-810 - [c23]Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Mark Buckner:
Privacy-Driven Electricity Group Demand Response in Smart Cities Using Particle Swarm Optimization. ICTAI 2016: 946-953 - [c22]Rafik Fainti, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Three-phase congestion prediction utilizing artificial neural networks. IISA 2016: 1-5 - [c21]Pola Lydia Lagari, Antonia Nasiakou, Rafik Fainti, Keyou Mao, Lefteri H. Tsoukalas, Robert Bean, Miltiadis Alamaniotis:
Evaluation of Human Machine Interface (HMI) in Nuclear Power Plants with Fuzzy Logic method. IISA 2016: 1-6 - [c20]Antonia Nasiakou, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
MatGridGUI - A toolbox for GridLAB-D simulation platform. IISA 2016: 1-5 - [c19]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 - [c18]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 - [c17]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
- [j10]Vasiliki Chrysikou, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
A Review of Incentive Based Demand Response Methods in Smart Electricity Grids. Int. J. Monit. Surveillance Technol. Res. 3(4): 62-73 (2015) - [j9]Miltiadis Alamaniotis, Chan K. Choi, Lefteri H. Tsoukalas:
Application of Fireworks Algorithm in Gamma-Ray Spectrum Fitting for Radioisotope Identification. Int. J. Swarm Intell. Res. 6(2): 102-125 (2015) - [j8]Miltiadis Alamaniotis, Dimitrios T. Bargiotas, Nikolaos G. Bourbakis, Lefteri H. Tsoukalas:
Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids. IEEE Trans. Smart Grid 6(6): 2997-3005 (2015) - [c16]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 - [c15]Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Athanasios Fevgas, Panagiota E. Tsompanopoulou, Panayiotis Bozanis:
Multiobjective Unfolding of Shared Power Consumption Pattern Using Genetic Algorithm for Estimating Individual Usage in Smart Cities. ICTAI 2015: 398-404 - [c14]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Developing Intelligent Radiation Analysis Systems: A Hybrid Wave-Fuzzy Methodology for Analysis of Radiation Spectra. ICTAI 2015: 1114-1121 - [c13]Miltiadis Alamaniotis, Chan K. Choi, Lefteri H. Tsoukalas:
Anomaly detection in radiation signals using kernel machine intelligence. IISA 2015: 1-6 - [c12]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Anticipation of minutes-ahead household active power consumption using Gaussian processes. IISA 2015: 1-6 - [c11]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
- [j7]Miltiadis Alamaniotis, Jason Young, Lefteri H. Tsoukalas:
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) - [j6]Stylianos Chatzidakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Creep Rupture Forecasting: A Machine Learning Approach to Useful Life Estimation. Int. J. Monit. Surveillance Technol. Res. 2(2): 1-25 (2014) - [j5]Miltiadis Alamaniotis, Vivek Agarwal:
Fuzzy Integration of Support Vector Regression Models for Anticipatory Control of Complex Energy Systems. Int. J. Monit. Surveillance Technol. Res. 2(2): 26-40 (2014) - [j4]Nikolaos G. Bourbakis, Lefteri H. Tsoukalas, Miltiadis Alamaniotis, Rong Gao, K. Kerkman:
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) - [c10]Miltiadis Alamaniotis, Vivek Agarwal, Tatjana Jevremovic:
Anticipatory monitoring and control of complex energy systems using a fuzzy based fusion of support vector regressors. IISA 2014: 33-37 - [c9]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 - [c8]Stylianos Chatzidakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Creep rupture forecasting for high performance energy systems. IISA 2014: 95-99 - 2013
- [j3]Kaylyn McCoy, Miltiadis Alamaniotis, Tatjana Jevremovic:
A Conceptual Model for Integrative Monitoring of Nuclear Power Plants Operational Activities Based on Historical Nuclear Incidents and Accidents. Int. J. Monit. Surveillance Technol. Res. 1(1): 69-81 (2013) - [j2]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) - [c7]Miltiadis Alamaniotis, Hermilo Hernandez, Tatjana Jevremovic:
Application of support vector regression in removing Poisson fluctuation from pulse height gamma-ray spectra. IISA 2013: 1-4 - [c6]Miltiadis Alamaniotis, Lefteri H. Tsoukalas:
Layered-based approach to virtual storage for smart power systems. IISA 2013: 1-6 - 2012
- [j1]Miltiadis Alamaniotis, Andreas Ikonomopoulos, Lefteri H. Tsoukalas:
Optimal Assembly of Support Vector Regressors with Application to System Monitoring. Int. J. Artif. Intell. Tools 21(6) (2012) - 2010
- [c5]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
2000 – 2009
- 2009
- [c4]Miltiadis Alamaniotis, Rong Gao, Lefteri H. Tsoukalas, Tatjana Jevremovic:
Intelligent Order-Based Method for Synthesis of NRF Spectra and Detection of Hazardous Materials. ICTAI 2009: 658-665 - [c3]Miltiadis Alamaniotis, Rong Gao, Lefteri H. Tsoukalas, Tatjana Jevremovic:
Expert System for Decision Making and Instructing Nuclear Resonance Fluorescence Cargo Interrogation. ICTAI 2009: 666-673 - [c2]Miltiadis Alamaniotis, Jason Young, John Perry, Shanjie Xiao, Vivek Agarwal, Phillip Forsberg, Rong Gao, Chan K. Choi, Lefteri H. Tsoukalas, Tatjana Jevremovic:
Engineering Solution to Nuclear Material Detection at Ports: Introducing the Novel iMASS Paradigm. ICTAI 2009: 679-682 - [c1]Alexandros Pantelopoulos, Miltiadis Alamaniotis, Tatjana Jevremovic, Sang M. Park, Soon M. Chung, Nikolaos G. Bourbakis:
LG-Graph Based Detection of NRF Spectrum Signatures: Initial Results and Comparison. ICTAI 2009: 683-686
Coauthor Index
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