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Athanasios Salamanis
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Managing spatial graph dependencies in large volumes of traffic data for travel-time prediction
A Salamanis, DD Kehagias, CK Filelis-Papadopoulos, D Tzovaras, ...
IEEE Transactions on Intelligent Transportation Systems 17 (6), 1678-1687, 2015
702015
An interactive visual analytics platform for smart intelligent transportation systems management
I Kalamaras, A Zamichos, A Salamanis, A Drosou, DD Kehagias, ...
IEEE Transactions on Intelligent Transportation Systems 19 (2), 487-496, 2017
622017
Identifying patterns under both normal and abnormal traffic conditions for short-term traffic prediction
A Salamanis, G Margaritis, DD Kehagias, G Matzoulas, D Tzovaras
Transportation research procedia 22, 665-674, 2017
322017
Speed pattern recognition technique for short‐term traffic forecasting based on traffic dynamics
D Kehagias, A Salamanis, D Tzovaras
IET intelligent transport systems 9 (6), 646-653, 2015
212015
Reputation assessment mechanism for carpooling applications based on clustering user travel preferences
A Salamanis, DD Kehagias, D Tsoukalas, D Tzovaras
International Journal of Transportation Science and Technology 8 (1), 68-81, 2019
172019
Short-Term Traffic Prediction under Both Typical and Atypical Traffic Conditions using a Pattern Transition Model.
TI Theodorou, A Salamanis, DD Kehagias, D Tzovaras, C Tjortjis
VEHITS, 79-89, 2017
142017
Evaluating the effect of time series segmentation on STARIMA-based traffic prediction model
A Salamanis, P Meladianos, D Kehagias, D Tzovaras
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
112015
A probabilistic framework for the reliability assessment of crowd sourcing urban traffic reports
A Salamanis, A Drosou, D Michalopoulos, D Kehagias, D Tzovaras
Transportation Research Procedia 14, 4552-4561, 2016
82016
An adaptive cluster-based sparse autoregressive model for large-scale multi-step traffic forecasting
AI Salamanis, AD Lipitakis, GA Gravvanis, S Kotsiantis, ...
Expert Systems with Applications 180, 115093, 2021
52021
Advanced parametric methods for short-term traffic forecasting in the era of big data
GA Gravvanis, AI Salamanis, CK Filelis-Papadopoulos
Machine Learning Paradigms: Advances in Data Analytics, 199-231, 2019
52019
EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems
L Papadopoulos, D Soudris, C Kessler, A Ernstsson, J Ahlqvist, N Vasilas, ...
IEEE Transactions on Parallel and Distributed Systems 33 (4), 792-804, 2021
42021
Benchmark comparison of analytical, data-based and hybrid models for multi-step short-term photovoltaic power generation forecasting
AI Salamanis, G Xanthopoulou, N Bezas, C Timplalexis, AD Bintoudi, ...
Energies 13 (22), 5978, 2020
42020
An efficient method for accelerating training of short-term traffic prediction models in large-scale traffic networks
A I. Salamanis, G A. Gravvanis, C K. Filelis-Papadopoulos, D Tzovaras
24th Pan-Hellenic Conference on Informatics, 289-294, 2020
22020
Mobility services data models for open and inclusive MaaS infrastructures
A Salamanis, T Ioakeimidis, M Gkemou, D Tzovaras, D Kehagias
2nd International Conference on Mobility as a Service, 2019
12019
On the Evaluation of a Cluster-based Reputation Assessment Mechanism for Carpooling Applications.
E Mastorakis, AI Salamanis, DD Kehagias, D Tzovaras
5th International Conference on Vehicle Technology and Intelligent Transport …, 2019
12019
Energformer: A New Transformer Model for Energy Disaggregation
GF Angelis, C Timplalexis, AI Salamanis, S Krinidis, D Ioannidis, ...
IEEE Transactions on Consumer Electronics, 2023
2023
LSTM-Based Deep Learning Models for Long-Term Tourism Demand Forecasting
A Salamanis, G Xanthopoulou, D Kehagias, D Tzovaras
Electronics 11 (22), 3681, 2022
2022
Novel Sparse Feature Regression Method for Traffic Forecasting
AI Salamanis, GA Gravvanis, SB Kotsiantis, MN Vrahatis
International Journal on Artificial Intelligence Tools, 2022
2022
Approximate computing, skeleton programming and run-time scheduling in an algorithm for process design and controllability in distributed and heterogeneous infrastructures
N Vasilas, AI Papadopoulos, L Papadopoulos, A Salamanis, P Kazepidis, ...
Computers & Chemical Engineering 164, 107874, 2022
2022
Utilizing Hybrid Feature Extraction, Tree-Based Learning and Data-Lightweight Model Re-Training for Accurate Short-Term and Day-Ahead Residential Load Forecasting
CS Ioakimidis, N Bezas, C Timplalexis, AI Salamanis, V Karapatsias, ...
2021
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