Δημοσιεύσεις σε διεθνή περιοδικά
2025
- G. Kandilogiannakis, P. Mastorocostas, A. Voulodimos, C. Hilas, D. Varsamis, “Wind Power Prediction Using A Dynamic Neuro-Fuzzy Model,” Electronics, vol. 14, 2326, pp. 1-22, 2025.
- V. Zelios, P. Mastorocostas, G. Kandilogiannakis, A. Kesidis, P. Tselenti, A. Voulodimos, “Short-Term Load Forecasting Using Deep Learning: A Case Study in Greece with RNN, LSTM, and GRU Networks,” Electronics, vol. 14, 2820, pp. 1-24, 2025.
2024
- S. Tsakiridis, A. Papakonstantinou, A. Kapandelis, P. Mastorocostas, A. Tsimpiris, D. Varsamis, “Optimizing UAV-Based Inventory Detection and Quantification in Industrial Warehouses: A LiDAR-Driven Approach,” WSEAS Transactions on Systems, vol. 23, pp. 121-127, 2024.
2023
- S. Tsakiridis, A. Papakonstantinou, A. Kapandelis, P. Mastorocostas, A. Tsimpiris, D. Varsamis, “Computational Techniques for Locating Industrial Products in Warehouses,” Contemporary Engineering Sciences, vol. 16, no 1, pp. 71-79, 2023.
- I. Drosouli, A. Voulodimos, P. Mastorocostas, G. Miaoulis, D. Ghazanfarpour, “A Spatial-Temporal Graph Convolutional Recurrent Network for Transportation Flow Estimation,” Sensors, vol. 23, 7534, pp. 1-25, 2023.
- G. Kandilogiannakis, P. Mastorocostas, A. Voulodimos, C. Hilas, “Short-Term Load Forecasting of the Greek Power System Using a Dynamic Block-Diagonal Fuzzy Neural Network,” Energies, vol. 16, 4227, pp. 1-21, 2023.
- N. Ellinas, M. Christidou, A. Vioni, J. Sig Sung, A. Chalamandaris, P. Tsiakoulis, P. Mastorocostas, “Controllable Speech Synthesis by Learning Discrete Phoneme-level Prosodic Representations,” Speech Communication, vol. 146, pp. 22-31, 2023.
- I. Drosouli, A. Voulodimos, P. Mastorocostas, G. Miaoulis, D. Ghazanfarpour, “TMD-BERT: A Transformer-Based Model for Transportation Mode Detection,” Electronics, vol. 12, pp. 1-17, 2023.
2022
- G. Kandilogiannakis, P. Mastorocostas, A. Voulodimos, “ReNFuzz-LF: A Recurrent Neurofuzzy System for Short-Term Load Forecasting,” Energies, vol. 15, 3637, pp. 1-18, 2022.
2021
- I. Drosouli, A. Voulodimos, G. Miaoulis, P. Mastorocostas, D. Ghazanfarpour, “Transportation Mode Detection Using a Optimized Long Short-Term Model on Multimodal Sensor Data,” Entropy, vol. 23, no 1457, pp. 1-20, 2021.
2018
- K. Evangelidis, T. Papadopoulos, K. Papatheodorou, P. Mastorocostas, C. Hilas, “3D Geospatial Visualizations: Animation and Motion Effects on Spatial Objects,” Computers and Geosciences, vol. 111, pp. 200-212, 2018.
- D. Varsamis, E. Outsios, P. Mastorocostas, “A Hybrid Learning Algorithm for Locally Recurrent Neural Networks,” Contemporary Engineering Sciences, vol. 11, no 1, pp. 1-13, 2018.
- G. Kandilogiannakis, P. Mastorocostas, D. Varsamis, C. Hilas, “Neurofuzzy Modelling of Lung Sounds,” Contemporary Engineering Sciences, vol. 11, no 98, pp. 4879-4890, 2018.
2017
- D. Varsamis, C. Talagkozis, A. Tsimpiris, P. Mastorocostas, “A Parallel Implementation of K-Means in Matlab,” International Journal of Computer and Information Engineering, vol. 11, no 10, pp. 1159-1162, 2017.
2016
- D. Varsamis, N. Karampetakis, P. Mastorocostas, “Transformations Between Two-variable Polynomial Bases with Applications,” Applied Mathematics & Information Sciences, vol. 10, no 4, pp. 1303-1311, 2016.
- P. Mastorocostas, C. Hilas, D. Varsamis, S. Dova, “Telecommunications Call Volume Forecasting With a Block-Diagonal Recurrent Fuzzy Neural Network,” Telecommunications Systems, vol. 63, no 1, pp. 15-25, 2016.
2015
- S. Mylonas, D. Stavrakoudis, J. Theocharis, P. Mastorocostas, “A Region-based GeneSIS Segmentation Algorithm for Classification of Remotely Sensed Images,” Remote Sensing, vol. 7, pp. 2474-2508, 2015.
- S. Mylonas, D. Stavrakoudis, J. Theocharis, P. Mastorocostas, “Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm,” IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no 10, pp. 5352-5376, 2015.
- C. Hilas, P. Mastorocostas, I. Rekanos, “Clustering of Telecommunications User Profiles for Fraud Detection and Security Enhancement in Large Corporate Networks: A Case Study,” Applied Mathematics & Information Sciences, vol. 9, no 4, pp. 1709-1718, 2015.
2014
- P. Mastorocostas, C. Hilas, “SCOLS-FuM: A Hybrid Fuzzy Modeling Method for Telecommunications Time-Series Forecasting,” Informatica, vol. 25, no 2, pp. 221-239, 2014.
- D. Varsamis, N. Karampetakis, P. Mastorocostas, “An Optimal Bivariate Polynomial Interpolation Basis for the Application of the Evaluation-Interpolation Technique,” Applied Mathematics & Information Sciences, vol. 8, no 1, pp. 117-125, 2014.
2013
- P. Mastorocostas, C. Hilas, D. Varsamis, S. Dova, “A Recurrent Neural Network-based Forecasting System for Telecommunications Call Volume,” Applied Mathematics & Information Sciences, vol. 7, no 5, pp. 1643-1650, 2013.
- C. Hilas, I. Rekanos, P. Mastorocostas, “Change Point Detection in Time Series Using Higher Order Statistics: A Heuristic Approach,” Mathematical Problems in Engineering, article id 317613, 2013.
- P. Mastorocostas, C. Hilas, “ReNFFor: A Recurrent Neurofuzzy Forecaster for Telecommunications Data,” Neural Computing and Applications, vol. 22, iss. 7-8, pp. 1727-1734, 2013.
- P. Mastorocostas, C. Hilas, D. Varsamis, S. Dova, “A Block-Diagonal Recurrent Neural Network for Telecommunications Call Volume Forecasting,” International Journal on Advances in Computing and Communication Technologies, vol. 3, iss. 1, pp. 7-11, 2013.
2012
- P. Mastorocostas, C. Hilas, “A Computational Intelligence-based Forecasting System for Telecommunications Time Series,” Engineering Applications of Artificial Intelligence, vol. 25, iss. 1, pp. 200-206, 2012.
2009
- P. Mastorocostas, C. Hilas, “A Block-Diagonal Recurrent Fuzzy Neural Network for System Identification,” Neural Computing and Applications, vol. 18, no 7, pp. 707-717, 2009.
2008
- P. Mastorocostas, D. Varsamis, C. Hilas, C. Mastorocostas, “A Generalized Takagi-Sugeno-Kang Recurrent Fuzzy-Neural Filter for Adaptive Noise Cancellation,” Neural Computing and Applications, vol. 17, no 5-6, pp. 521-529, 2008.
- P. Mastorocostas, D. Stavrakoudis, J. Theocharis, “A Pipelined Recurrent Fuzzy Model for Real-Time Analysis of Lung Sounds,” Engineering Applications of Artificial Intelligence, vol. 21, iss. 8, pp. 1301-1308, 2008.
- C. Hilas, P. Mastorocostas, “An Application of Supervised and Unsupervised Learning Approaches to Telecommunications Fraud Detection,” Knowledge-Based Systems, vol. 21, iss. 7, pp. 721-726, 2008.
2007
- P. Mastorocostas, “Simulated Annealing Dynamic RPROP for Training Recurrent Fuzzy Systems,” Advances in Fuzzy Sets and Systems, vol. 2, iss. 3, pp. 283-300, 2007.
- P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas, “Dynamic Fuzzy Model for Processing Lung Sounds,” Electronics Letters, vol. 43, iss. 6, pp. 320-322, 2007.
- P. Mastorocostas, J. Theocharis, “A Dynamic Fuzzy-Neural Filter for Separation of Discontinuous Adventitious Sounds from Vesicular Sounds,” Computers in Biology and Medicine, vol. 37, pp. 60-69, 2007.
2006
- P. Mastorocostas, J. Theocharis, “A Stable Learning Method for Block-Diagonal Recurrent Neural Networks: Application to the Analysis of Lung Sounds,” IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 36, no 2, pp. 242-254, 2006.
- P. Mastorocostas, “A Recurrent Fuzzy Filter for the Analysis of Lung Sounds,” Fuzzy Sets and Systems, vol. 157, iss. 4, pp. 578-594, 2006.
2004
- P. Mastorocostas, “Resilient Back Propagation Learning Algorithm for Recurrent Fuzzy Neural Networks,” IEE Electronics Letters, vol. 40, iss. 1, pp. 57-58, 2004.
2003
- P. Mastorocostas, J. Theocharis, “An Orthogonal Least Squares Method for Recurrent Fuzzy-Neural Modeling,” Fuzzy Sets and Systems, vol. 140, iss. 2, pp. 285-300, 2003.
2002
- P. Mastorocostas, J. Theocharis, “A Recurrent Fuzzy Neural Model for Dynamic System Identification,” IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 32, no 2, pp. 176-190, 2002.
2001
- P. Mastorocostas, J. Theocharis, V. Petridis, “A Constrained Orthogonal Least Squares Method for Generating TSK Fuzzy Models: Application to Short-Term Load Forecasting,” Fuzzy Sets and Systems, vol. 118, iss. 2, pp. 35-53, 2001.
2000
- P. Mastorocostas, Y. Tolias, J. Theocharis, L. Hadjileontiadis, S. Panas, “An Orthogonal Least Squares-Based Fuzzy Filter for Real-Time Analysis of Lung Sounds,” IEEE Transactions on Biomedical Engineering, vol. 47, no 9, pp. 1165-1176, 2000.
- P. Mastorocostas, J. Theocharis, “FUNCOM: A Constrained Learning Algorithm for Fuzzy Neural Networks,” Fuzzy Sets and Systems, vol. 112, iss. 1, pp. 1-26, 2000.
- P. Mastorocostas, J. Theocharis, S. Kiartzis, A. Bakirtzis, “A Hybrid Fuzzy Modeling Method for Short Term Load Forecasting,” Mathematics and Computers in Simulation, vol. 51, iss. 3-4, pp. 221-232, 2000.
1999
- P. Mastorocostas, J. Theocharis, A. Bakirtzis, “Fuzzy Modeling for Short Term Load Forecasting Using an Orthogonal Least Squares Method,” IEEE Transactions on Power Systems, vol. 14, no 1, pp. 29-36, 1999.
1996
- N. Margaris, P. Mastorocostas, “On the Nonlinear Behaviour of the Analog Phase Locked Loop: Synchronization,” IEEE Transactions on Industrial Electronics, vol. 43, no 6, pp. 621-629, 1996.
Δημοσιεύσεις σε συλλογικούς τόμους
2026
- Lecture Notes in Networks and Systems, vol. 1707, Editors: A. Krouska, P. Mylonas, J. Caro, Springer, 2026.
- Lecture Notes in Networks and Systems, vol. 1706, Editors: A. Krouska, P. Mylonas, J. Caro, Springer, 2026.
2012
- Lecture Notes in Electrical Engineering, vol. 151, Springer, 2012.
2011
- Lecture Notes in Computer Science, vol. 6675, Springer, 2011.
2008
- Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering, Editor: K. Elleithy, Springer, 2008.
2007
- Lecture Notes in Computer Science, vol. 4669, Springer, 2007.
- Advances and Innovations in Systems, Computing Sciences and Software Engineering, Editor: K. Elleithy, Springer, 2007.
2000
- Computational Intelligence in Systems and Control Design and Applications, Editor: S.G. Tzafestas, Kluwer Academic Publishers, 2000.
Δημοσιεύσεις σε πρακτικά διεθνών συνεδρίων με κριτές
2025
- A. Christodoulides, P. Mastorocostas, G. Kandilogiannakis, P. Tselenti, A. Kesidis, “Recurrent Fuzzy Neural Networks for Time-Series Prediction,” Proceedings of 5th International Conference on Novel & Intelligent Digital Systems, Athens, Greece, September 2025, pp. 140-151.
- G. Rouselatos, A. Kesidis, P. Mastorocostas, N. Vasilas, “Exploring the Potential of Advanced GAN Architectures for Super-Resolution Related Problems,” Proceedings of 5th International Conference on Novel & Intelligent Digital Systems, Athens, Greece, September 2025, pp. 363-374.
2024
- S. Tsakiridis, A. Tsimpiris, A. Angeioplastis, N. Papaioannou, P. Mastorocostas, A. Papakonstantinou, A. Kamilari, D. Varsamis, “A Procedure for Optimization of Placement Products in Large Industrial Areas of A Greek Soft Drinks Company,” Proceedings of 2024 International Conference on Applied Mathematics & Computer Science (ICAMS), Venice, Italy, September 2024, pp. 162-166.
- S. Tsakiridis, A. Tsimpiris, A. Angeioplastis, N. Papaioannou, P. Mastorocostas, D. Varsamis, “A Procedure with MySQL Python for Developing Data Warehouse and Analytics Using Data from A Greek Soft Drinks Company,” Proceedings of 2024 International Conference on Applied Mathematics & Computer Science (ICAMS), Venice, Italy, September 2024, pp. 167-172.
2023
- I. Drosouli, A. Voulodimos, P. Mastorocostas, G. Miaoulis, D. Ghazanfarpour, “A Graph Neural Network based Learning Model for Urban Metro Flow Prediction,” Proceedings of 22nd IEEE International Conference on Machine Learning and Applications, Florida, USA, December 2023.
- V. Zelios, P. Mastorocostas, G. Kandilogiannakis, A. Kesidis, P. Tselenti, A. Voulodimos, “Deep Learning Electric Load Forecasting for the Greek Power System,” Proceedings of 27th International Conference on Circuits, Systems, Communications and Computers, Rhodes, Greece, July 2023.