Ε. Bilis, Τ. Papadimitriou, Κ. Diamantaras, Κ. Goulianas, "EXPERT: EXchange Rate Prediction Using Encoder Representation from Transformers", Forecasting, 7, 65, MDPI, https://doi.org/10.3390/forecast7040065, 2025
I. Kazlaris, E. Antoniou, K. Diamantaras, C. Bratsas, "From Illusion to Insight: A Taxonomic Survey of Hallucination Mitigation Techniques in LLMs", AI, vol. 6, no. 10, 260; MDPI, https://doi.org/10.3390/ai6100260, 2025
G. Gravanis, S. Papadopoulou, S. Voutetakis, K. Diamantaras, I. N. Tsimpanogiannis, "Diffusivity of CH4 in liquid H2O in the bulk: a review of experimental and molecular simulation studies and development of a machine learning approach for its prediction". Molecular Physics, pp. e2538601, Taylor & Francis, https://doi.org/10.1080/00268976.2025.2538601, 2025
D. Vasileiou, D. Moraitou, K. Diamantaras, V. Papaliagkas, C. Pezirkianidis, M. Tsolaki, "Positive Psychology Interventions in Early-Stage Cognitive Decline Related to Dementia: A Systematic Review of Cognitive and Brain Functioning Outcomes of Mindfulness Interventions", Brain Sciences, vol. 15, no. 6, 580, DOI: 10.3390/brainsci15060580, MDPI, 2025
G. Gravanis, S. Papadopoulou, S. Voutetakis, K. Diamantaras, I.N. Tsimpanogiannis "A machine learning approach to predict CO2 diffusivity in liquid H2O over a wide pressure and temperature range," Fluid Phase Equilibria, vol. 592, 114325, Elsevier, https://doi.org/10.1016/j.fluid.2024.114325, 2025
M. Delianidi, K. Diamantaras, I. Moras, A. Sidiropoulos, "DK-PRACTICE: An Intelligent Educational Platform for Personalized Learning Content Recommendations Based on Students Knowledge State", arXiv preprint, arXiv:2501.10373, 2024
P.I. Kaplanoglou, K. Diamantaras, "Learning local discrete features in explainable-by-design convolutional neural networks", arXiv preprint arXiv:2411.00139, 2024
V. Stamatis, M. Salampasis, K. Diamantaras, "A novel re-ranking architecture for patent search", World Patent Information vol. 78, 102282, https://doi.org/10.1016/j.wpi.2024.102282, 2024
N. Ntampakis, K. Diamantaras, I. Chouvarda, V. Argyriou, P. Sarigianndis, "Enhanced Deep Learning Methodologies and MRI Selection Techniques for Dementia Diagnosis in the Elderly Population", arXiv preprint, arXiv:2407.17324, 2024
N. Ntampakis; V. Argyriou; K. Diamantaras; K. Goulianas; P. Sarigiannidis; I. Siniosoglou, "Introducing SPINE: a holistic approach to synthetic pulmonary imaging evaluation through end-to-end data and model management", IEEE Open Journal of Engineering in Medicine and Biology, vol. 5, pp. 576-588, doi: 10.1109/OJEMB.2024.3426910, 2024
A. Kampatzis, A. Sidiropoulos, K. Diamantaras, S. Ougiaroglou, "Sentiment Dimensions and Intentions in Scientific Analysis: Multilevel Classification in Text and Citations", Electronics 13 (9), 1753, https://doi.org/10.3390/electronics13091753, 2024
G. Stalidis, I. Karaveli, K. Diamantaras, M. Delianidi, K. Christantonis, D. Tektonidis, A. Katsalis, M. Salampasis, "Recommendation Systems for e-Shopping: Review of Techniques for Retail and Sustainable Marketing", Sustainability, vol 15, no. 23, MDPI, https://doi.org/10.3390/su152316151, 2023
D. Botsis, I. Siarkos, K. Diamantaras, Z. Mallios, P. Latinopoulos, "Comparative evaluation of different machine learning models for simulating the effect of injection barriers against seawater intrusion: A case study from Nea Moudania aquifer, Greece", issue 83/84, pp.3-20, E.W. Publications, 2023
Ε. Lloret, Α. Barreiro, Μ. Bhatt, Α. Bugarín-Diz, G. Modoni, M. Silberztein, I. Calixto, G. Korvel, K. Diamantaras, A. Katsalis, O. Turuta, I. Russo, A. Erdem, "Multi3Generation: Multitask, Multilingual, and Multimodal Language Generation", Open Research Europe, vol 3, no. F1000 Research Limited London, UK, https://doi.org/10.12688/openreseurope.16307.1, 2023
G. Lampropoulos, E. Keramopoulos, K. Diamantaras, G. Evangelidis, "Integrating Augmented Reality, Gamification, and Serious Games in Computer Science Education", Education Sciences, vol 13, no. 6, MDPI, https://doi.org/10.3390/educsci13060618, 2023
Delianidi Marina, Diamantaras Konstantinos, "KT-Bi-GRU: Student Performance Prediction with a Bi-Directional Recurrent Knowledge Tracing Neural Network", Journal of Educational Data Mining, vol 15, no. 2, International Educational Data Mining, https://doi.org/10.5281/zenodo.7808087, 2023
Μ. Salampasis, Α. Katsalis, Τ. Siomos, M. Delianidi, D. Tektonidis, K. Christantonis, P. Kaplanoglou, I. Karaveli, C. Bourlis, K. Diamantaras, "A Flexible Session-Based Recommender System for e-Commerce", Applied Sciences, 13(5), 3347; https://doi.org/10.3390/app13053347, 2023
G. Gravanis, D. Trigkas, K. Diamantaras, S. Voutetakis, S. Papadopoulou, "A Novel Approach to Recognize Hidden Machinery Malfunctions Based on Operational Data", Chemical Engineering Transactions, vol 103, https://doi.org/10.3303/CET23103096, 2023
E. Kamateri, M. Salampasis, K. Diamantaras, "An ensemble framework for patent classification", World Patent Information, vol. 75, Elsevier, https://doi.org/10.1016/j.wpi.2023.102233, 2023
V. Stamatis, M. Salampasis, and K. Diamantaras, "Machine learning methods for results merging in patent retrieval", Data Technologies and Applications, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/DTA-06-2021-0156, 2023
M. Delianidi, K. Diamantaras, D. Tektonidis, M. Salampasis, "Session-Based Recommendations for e-Commerce with Graph-Based Data Modeling", Applied Sciences, 13(1):394. https://doi.org/10.3390/app13010394, 2023
D. Trigkas, G. Gravanis, K. Diamantaras, S. Voutetakis, S. Papadopoulou, "Energy Management in Microgrids Using Model Predictive Control Empowered with Artificial Intelligence", Chemical Engineering Transactions, vol. 94, pp. 961-966, DOI: 10.3303/CET2294160, 2022
G. Lampropoulos, E. Keramopoulos, K. Diamantaras, and G. Evangelidis, "Augmented Reality and Gamification in Education: A Systematic Literature Review of Research, Applications, and Empirical Studies," Applied Sciences, vol. 12, no. 13, p. 6809, DOI:10.3390/app12136809, July 2022
M. Delianidi and K. Diamantaras, "KT-Bi-GRU: Student Performance Prediction with a Recurrent Knowledge Tracing Neural Network", TechRxiv, DOI:10.36227/techrxiv.20055545.v2, 2022
M. Salampasis, Th. Siomos, A. Katsalis, K. Diamantaras, D. Tektonidis, "Embeddings Methods for Next-Item and Last-Basket Session-Based Recommendations", Int. J. Machine Learning and Computing, Vol.12(4): 136-142, DOI:10.18178/ijmlc.2022.12.4.1092, 2022.
G. Lampropoulos, E. Keramopoulos, K. Diamantaras, "Semantically Enriched Augmented Reality Applications: A Proposed System Architecture and a Case Study", International Journal of Recent Contributions from Engineering, Science & IT (iJES), vol. 10, no. 1, DOI:10.3991/ijes.v10i01.27463, 2022
E. Kamateri, V. Stamatis, K. Diamantaras, M. Salampasis, "Automated Single-Label Patent Classification using Ensemble Classifiers", arXiv preprint arXiv:2203.03552, 2022
S. Evmorfos, K. Diamantaras, A. Petropulu, "Reinforcement Learning for Motion Policies in Mobile Relaying Networks", IEEE Transactions on Signal Processing, vol. 70, pp. 850-861, DOI: 10.1109/TSP.2022.3141305, Jan. 2022.
G. Gravanis, I. Dragogias, K. Papakiriakos, C. Ziogou, K. I. Diamantaras, "Fault Detection and Diagnosis for Non-Linear Processes empowered by Dynamic Neural Networks", Computers and Chemical Engineering, vol. 156, DOI:10.1016/j.compchemeng.2021.107531, Jan 2022, available online 30 September 2021.
G. Lampropoulos, E. Keramopoulos, K. I. Diamantaras, "Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: a review", Visual Informatics, Volume 4, Issue 1, pp. 32-42, DOI:10.1016/j.visinf.2020.01.001, Elsevier, March 2020
C. Timplalexis, D. Chasanidis, I. Chouvarda, K. I. Diamantaras, "Towards exploration and evaluation of sleep staging classification schemes for healthy and patient subjects", EAI Endorsed Transactions on Bioengineering and Bioinformatics (BEBI), European Alliance for Innovation (EAI), DOI:10.4108/eai.19-10-2020.166665, 2020.
Y. Han, I. Christoudis, K. I. Diamantaras, S. Zonouz, A. Petropulu, "Side-Channel-Based Code-Execution Monitoring Systems: A Survey", IEEE Signal Processing Magazine, vol. 36, no. 2, pp. 22-35, March 2019, DOI:10.1109/MSP.2018.2887243
G. Gravanis, A. Vakali, K. I. Diamantaras, P. Karadais, "Behind the Cues: A benchmarking study for Fake News Detection", Expert Systems with Applications, vol. 128, pp. 201-213, Elsevier, August 2019, DOI:10.1016/j.eswa.2019.03.036
Y. Yu, K. I. Diamantaras, T. McKelvey, S. Y. Kung, "CLAss-specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification", IEEE Transactions on Neural Networks and Learning Systems, vol. 29 , no 2 , Feb. 2018, DOI:10.1109/TNNLS.2016.2619399
K. Goulianas, A. Margaris, I. Refanidis, K. I. Diamantaras, "Solving polynomial systems using a fast adaptive back propagation-type neural network algorithm", European Journal of Applied Mathematics, vol. 29, issue 2, pp. 301-337, April 2018, DOI:10.1017/S0956792517000146
S. Ougiaroglou, K. I. Diamantaras, G. Evangelidis, "Exploring the effect of Data Reduction on Neural Network and Support Vector Machine Classification", Neurocomputing, vol. 280, pp. 101-110, Elsevier, March 2018. DOI:10.1016/j.neucom.2017.08.076
S. Sevastas, D. Gasparatos, D. Botsis, I. Siarkos, K. I. Diamantaras, G. Bilas, "Predicting bulk density using pedotransfer functions for soils in the Upper Anthemountas basin, Greece", Geoderma Regional, vol. 14,Β Elsevier, September 2018, DOI:10.1016/j.GEODRS.2018.e00169
G. A. Papakostas, K. I. Diamantaras, Th. Papadimitriou, "Parallel Pattern Classification Utilizing CPU Based Kernelized Slackmin Algorithm", Journal of Parallel and Distributed Computing, vol. 99, pp. 90-99, Elsevier, January 2017, DOI:10.1016/j.jpdc.2016.09.001
M. Giatsoglou, M. Vozalis, K. I. Diamantaras, A. Vakali, G. Sarigiannidis, K. Ch. Chatzisavvas, "Sentiment Analysis Leveraging Emotions and Word Embeddings", Expert Systems with Applications, vol. 69, pp. 214-224, Elsevier, 1 March 2017, DOI:10.1016/j.eswa.2016.10.043
V. Plakandaras, Th. Papadimitriou, P. Gogas, K. I. Diamantaras, "Market Sentiment and Exchange Rate Directional Forecasting", Algorithmic Finance, vol. 4, no. 1-2, 2015, DOI:10.3233/AF-150044
T. Vafeiadis, K. I. Diamantaras, G. Sarigiannidis, K. Ch. Chatzisavvas, "A Comparison of Machine Learning Techniques for Customer Churn Prediction", Simulation Modelling Practice and Theory, vol. 55, pp. 1-9, Elsevier, 2015, DOI:10.1016/j.simpat.2015.03.003
K. Goulianas, A. Margaris, I. Refanidis, K. I. Diamantaras, "An Adaptive Learning Rate Backpropagation-type Neural Network for Solving n×n Systems of Non Linear Algebraic Equations", Mathematical Methods in the Applied Sciences, Wiley, 2015, DOI:10.1002/mma.3715
P. Stalidis, M. Giatsoglou, K. I. Diamantaras, G. Sarigiannidis, K. Ch. Chatzisavvas, "Machine Learning Sentiment Prediction based on Hybrid Document Representation", arXiv:1511.09107, 2015
M. Kotti, K. I. Diamantaras, "Efficient Binary Classification Through Energy Minimisation of Slack Variables", Neurocomputing, Elsevier, 2014, DOI:10.1016/j.neucom.2014.07.013
K. I. Diamantaras, G. Vranou, Th. Papadimitriou, "Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources", IEEE Trans. Signal Processing, vol. 61, no. 11, pp. 2866-2873, June 2013, DOI:10.1109/TSP.2013.2255046
A. Margaris, K. Goulianas, K. I. Diamantaras, Th. Papadimitriou, "Estimating 2-cycle Fixed Points of Henon Map Using Backpropagation Neural Networks", Mathematical Methods in the Applied Sciences, vol. 38, no. 2, pp. 263-273, John Wiley, 2015, Article first published online: 27 Dec. 2013, doi:10.1002/mma.3064
T. Adali, D. J. Miller, K. I. Diamantaras, J. Larsen, "Trends in Machine Learning for Signal Processing", T. Adali, D.J. Miller, K.I. Diamantaras, and J. Larsen, IEEE Signal Processing Magazine, pp. 193-196, Nov. 2011, DOI:10.1109/MSP.2011.942319
K. I. Diamantaras, Th. Papadimitriou, "Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances", Journal Signal Processing Systems, Springer, Volume 65, Number 3, Pages 525-534, Oct. 2011, DOI:10.1007/s11265-010-0555-9, published online Nov. 2010.
M. Zampoglou, Th. Papadimitriou, K. I. Diamantaras, "From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing", M. Zampoglou, Th. Papadimitriou and K. Diamantaras, Journal of Signal Processing Systems, Vol. 61, no 1, pp. 75-83, Springer, 2009.
K. I. Diamantaras, Th. Papadimitriou, "Applying PCA Neural Models for the Blind Separation of Signals", Neurocomputing, vol. 73, no. 1-3, pp. 3-9, Elsevier, 2009
K. I. Diamantaras, Th. Papadimitriou, "An Efficient Subspace Method for the Blind Identification of Multi-Channel FIR Systems", IEEE Transactions on Signal Processing, vol. 56, no. 12, pp. 5833-5839, December 2008
N. Kofidis, A. Margaris, K. I. Diamantaras, M. Roumeliotis, "Blind System Identification: Instantaneous Mixtures of Binary Sources", International Journal of Computer Mathematics, Volume 85, Issue 9, pages 1333 - 1340, September 2008
K. I. Diamantaras, Th. Papadimitriou, "Blind Deconvolution of Multi-Input Single-Output Systems with Binary Sources", IEEE Transactions on Signal Processing, vol. 54, no. 10, pp. 3720-3731, October 2006
K. I. Diamantaras, Th. Papadimitriou, "Subspace-based Channel Shortening for the Blind Separation of Convolutive Mixtures", IEEE Transactions on Signal Processing, vol. 54, no. 10, pp. 3669-3677, October 2006
K. I. Diamantaras, "A Clustering Approach for the Blind Separation of Multiple Finite Alphabet Sequences from a Single Linear Mixture", Signal Processing, Vol. 86, Issue 4, pp. 877-891, Elsevier, April 2006
Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, M. Roumeliotis, "Video Scene Segmentation using Spatial Contours and 3-D Robust Motion Estimation", IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 4, April 2004
I. Bradaric, A. Petropulu, K. I. Diamantaras, "Blind MIMO FIR Channel Identification Based on Second-Order Spectra Correlations", IEEE Transactions on Signal Processing, vol. 51, no. 6, pp. 1668-1674, June 2003.
I. Bradaric, A. Petropulu, K. I. Diamantaras, "On Blind Identifiability of FIR-MIMO Systems with Cyclostationary Inputs Using Second Order Statistics", IEEE Transactions on Signal Processing, vol. 51, no. 2, pp. 434-441, Feb. 2003.
K. I. Diamantaras, "Blind channel identification based on the geometry of the received signal constellation", IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1133-1143, May 2002.
M. Salampasis, K. I. Diamantaras, "Experimental User-Centered Evaluation of an Open Hypermedia System and Web Information Seeking Environments", Journal of Digital Information, vol. 2, issue 4, article no. 105, 31-May, 2002
I. Bradaric, A. Petropulu, K. I. Diamantaras, "Subspace design of low-rank estimators for higher-order statistics", Journal of the Franklin Institute, vol. 339, pp. 161-187, Elsevier, 2002.
K. I. Diamantaras, "Blind Source Separation using Principal Component Neural Networks", in ICANN 2001, Lecture Notes in Computer Science vol. 2130, G. Dorffner, H. Bischof and K. Hornik (Eds.), pp. 515-520, Springer Verlag, 2001.
K. I. Diamantaras, M. G. Strintzis, "Optimal Reconstruction from Quantized Data", Signal Processing-Image Communication, vol. 15, no. 9, pp. 811-815, Elsevier, July 2000.
Th. Papadimitriou, K. I. Diamantaras, M. G. Strintzis, M. Roumeliotis, "Robust Estimation of Rigid Body 3-D Motion Parameters based on Point Correspondences", IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, no. 4, pp. 541-549, June 2000.
K. I. Diamantaras, A. Petropulu, B. Chen, "Blind Two-Input-Two-Output FIR Channel Identification Based on Second-Order Statistics", IEEE Transactions on Signal Processing, vol. 48, no. 2, pp.534-542, Feb. 2000.
K. I. Diamantaras, M. G. Strintzis, "Optimal Transform Coding in the Presence of Quantization Noise", IEEE Transactions on Image Processing, vol. 8, no. 11, pp. 1508-1515, Nov. 1999.
K. I. Diamantaras, K. Hornik, M. G. Strintzis, "Optimal Linear Compression Under Unreliable Representation and Robust PCA Neural Models", IEEE Transactions on Neural Networks, vol. 10, no. 5, pp. 1186-1195, Sept. 1999.
N. Maglaveras, T. Stamkopoulos, K. I. Diamantaras, C. Pappas, M. G. Strintzis, "ECG Pattern Recognition and Classification Using Non-linear Transformations and Neural Networks: A Review", International Journal of Medical Informatics, vol. 52, pp. 191-208, 1998.
T. Stamkopoulos, K. I. Diamantaras, N. Maglaveras, M. G. Strintzis, "ECG Analysis Using Non-linear PCA Neural Networks for Ischemia Detection", IEEE Transactions on Signal Processing, vol. 46, no 11, pp. 3058-3067, Nov. 1998.
K. I. Diamantaras, M. G. Strintzis, "Neural Classifiers Using One-Time Updating", IEEE Trans. Neural Networks, vol. 9, no 3, pp. 436-447, May 1998.
K. I. Diamantaras, "Robust Hebbian Learning and Noisy Principal Component Analysis", International Journal of Computer Mathematics, Gordon & Breach Science Publishers, vol. 68, no. 1-2, pp. 5-24, 1997.
K. I. Diamantaras, S. Y. Kung, "A Linear Systolic Array for Real-Time Morphological Image Processing", Journal of VLSI Signal Processing, Kluwer, vol. 17, no.1, pp. 43-55, Kluwer, September 1997.
K. I. Diamantaras, W. H. Chou, S. Y. Kung, "Dynamic Programming Implementation on Array Processor Architectures", Journal of VLSI Signal Processing, vol. 13, no. 1, pp. 27-36, Kluwer, August 1996.
K. I. Diamantaras, S. Y. Kung, "Cross-correlation Neural Network Models", IEEE Transactions on Signal Processing, pp. 3218-3223, vol. 42, no. 11, November 1994.
K. I. Diamantaras, S. Y. Kung, "Multi-layer Neural Networks for Reduced-Rank Approximation", IEEE Transactions on Neural Networks, pp. 684-697, vol. 5, no. 5, September 1994.
S. Y. Kung, K. I. Diamantaras, J. S. Taur, "Adaptive Principal Component Extraction (APEX) and Applications", IEEE Transactions on Signal Processing, pp. 1202-1217, vol. 42, no. 5, May 1994.
K. I. Diamantaras, N. K. Jha, "A New Transition Count for Testing of Logic Circuits", IEEE Transactions on CAD of ICAS, pp. 407-410, vol. 10, no. 3, March 1991.
P. N. Paraskevopoulos, K. I. Diamantaras, "Algorithms for Characteristic Polynomial Assignment of 2-D Discrete Systems", Proceedings IEE, Part D, vol. 137, no. 2, pp. 94-97, March 1990.
P. N. Paraskevopoulos, K. I. Diamantaras, "A New Orthogonal Series Approach to State-Space Analysis of 1-D and 2-D Discrete Systems", Proceedings IEE, Part G, vol. 137, no. 3, pp. 205-209, June 1990.