Evaluating the Effect of Time Series Segmentation on STARIMA-Based Traffic Prediction Model. - Athanasios Salamanis; Polykarpos Meladianos; Dionysios D. Kehagias; Dimitrios Tzovaras (ITSC, 2015)

Managing Spatial Graph Dependencies in Large Volumes of Traffic Data for Travel-Time Prediction. - Athanasios Salamanis; Dionysios D. Kehagias; Christos K. Filelis-Papadopoulos; Dimitrios Tzovaras; George A. Gravvanis (IEEE Trans. Intell. Transp. Syst., 2016)

Short-Term Traffic Prediction under Both Typical and Atypical Traffic Conditions using a Pattern Transition Model. - Traianos-Ioannis Theodorou; Athanasios Salamanis; Dionysios D. Kehagias; Dimitrios Tzovaras; Christos Tjortjis (VEHITS, 2017)

An Interactive Visual Analytics Platform for Smart Intelligent Transportation Systems Management. - Ilias Kalamaras; Alexandros Zamichos; Athanasios Salamanis; Anastasios Drosou; Dionysios D. Kehagias; Georgios Margaritis; Stavros Papadopoulos 002; Dimitrios Tzovaras (IEEE Trans. Intell. Transp. Syst., 2018)

On the Evaluation of a Cluster-based Reputation Assessment Mechanism for Carpooling Applications. - Emmanouil Mastorakis; Athanasios I. Salamanis; Dionysios D. Kehagias; Dimitrios Tzovaras (VEHITS, 2019)

Advanced Parametric Methods for Short-Term Traffic Forecasting in the Era of Big Data. - George A. Gravvanis; Athanasios I. Salamanis; Christos K. Filelis-Papadopoulos (Machine Learning Paradigms, 2019)

Benchmark Comparison of Methods for Approximate Neighborhood Estimation of Road Segments in Large-Scale Traffic Networks. - Athanasios I. Salamanis; George A. Gravvanis; Christos K. Filelis-Papadopoulos; Dimitrios Michail 001 (PCI, 2020)

An Efficient Method for Accelerating Training of Short-Term Traffic Prediction Models in Large-Scale Traffic Networks. - Athanasios I. Salamanis; George A. Gravvanis; Christos K. Filelis-Papadopoulos; Dimitrios Tzovaras (PCI, 2020)

A Graph-Based Reputation Assessment System for Online Review Communities. - Athanasios Salamanis; Grigorios Christainas; Dionysios D. Kehagias; Dimitrios Tzovaras (WI/IAT, 2020)

An adaptive cluster-based sparse autoregressive model for large-scale multi-step traffic forecasting. - Athanasios I. Salamanis; Anastasia-Dimitra Lipitakis; George A. Gravvanis; Sotiris Kotsiantis; Dimosthenis Anagnostopoulos (Expert Syst. Appl., 2021)

Approximate computing, skeleton programming and run-time scheduling in an algorithm for process design and controllability in distributed and heterogeneous infrastructures. - Nikos Vasilas; Athanasios I. Papadopoulos; Lazaros Papadopoulos; Athanasios Salamanis; Panagiotis Kazepidis; Dimitrios Soudris; Dionisis D. Kehagias; Panos Seferlis (Comput. Chem. Eng., 2022)

EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems. - Lazaros Papadopoulos; Dimitrios Soudris; Christoph W. Kessler; August Ernstsson; Johan Ahlqvist; Nikos Vasilas; Athanasios I. Papadopoulos; Panos Seferlis; Charles Prouveur; Matthieu Haefele; Samuel Thibault; Athanasios Salamanis; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Novel Sparse Feature Regression Method for Traffic Forecasting. - Athanasios I. Salamanis; George A. Gravvanis; Sotiris B. Kotsiantis; Michael N. Vrahatis (Int. J. Artif. Intell. Tools, 2023)

Energformer: A New Transformer Model for Energy Disaggregation. - Georgios-Fotios Angelis; Christos Timplalexis; Athanasios I. Salamanis; Stelios Krinidis; Dimosthenis Ioannidis; Dionysios D. Kehagias; Dimitrios Tzovaras (IEEE Trans. Consumer Electron., 2023)

A generic sparse regression imputation method for time series and tabular data. - Athanasios I. Salamanis; George A. Gravvanis; Sotiris Kotsiantis; Konstantinos M. Giannoutakis (Knowl. Based Syst., 2023)