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Dimitrios Zissis
Dimitris Zissis
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- affiliation: University of the Aegean
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2020 – today
- 2024
- [j22]Nikolas Zygouras, Alexandros Troupiotis-Kapeliaris
, Dimitris Zissis
EnvClus*: Extracting Common Pathways for Effective Vessel Trajectory Forecasting. IEEE Access 12: 3860-3873 (2024) - [j21]Nan Yang, Nikolaos Korfiatis
Incorporating topic membership in review rating prediction from unstructured data: a gradient boosting approach. Ann. Oper. Res. 339(1-2): 631-662 (2024) - [c38]Georgios Grigoropoulos, Giannis Spiliopoulos
A Scalable System for Maritime Route and Event Forecasting. EDBT 2024: 762-769 - [c37]Giannis Spiliopoulos, Cesar Ducruet, Leonardo Maria Millefiori, Paolo Braca, Dimitris Zissis:
Detecting the Spatiotemporal Characteristics of the Supply-chain Disruption and Estimating its Short Term Effects. EDBT/ICDT Workshops 2024 - [c36]Giannis Spiliopoulos, Marios Vodas, Georgios Grigoropoulos, Konstantina Bereta, Dimitris Zissis:
Patterns of Life : Global Inventory for maritime mobility patterns. EDBT 2024: 770-777 - [c35]Georgios Grigoropoulos, Giannis Spiliopoulos, Ilias Chamatidis, Manolis Kaliorakis, Alexandros Troupiotis-Kapeliaris, Marios Vodas, Evangelia Filippou, Eva Chondrodima
GMSA: A Digital Twin Application for Maritime Route and Event Forecasting. EDBT 2024: 798-801 - [c34]Andreas Tritsarolis, Nikos Pelekis, Konstantina Bereta, Dimitris Zissis, Yannis Theodoridis:
On Vessel Location Forecasting and the Effect of Federated Learning. MDM 2024: 83-92 - [c33]Song Wu, Alexandros Troupiotis-Kapeliaris, Dimitris Zissis, Kristian Torp, Esteban Zimányi, Mahmoud Attia Sakr:
Uncertainty-Aware Ship Location Estimation using Multiple Cameras in Coastal Areas. MDM 2024: 109-118 - [c32]Elias K. Xidias, Dimitris Zissis:
Efficient Task Allocation and Path Planning for Unmanned Surface Vehicle in Supply Chain. MDM 2024: 271-276 - [c31]Natalia V. Andrienko, Gennady L. Andrienko, Dimitris Zissis, Alexandros Troupiotis-Kapeliaris, Giannis Spiliopoulos:
Techniques for interactive visual examination of autonomous vessel performance. VLDB Workshops 2024 - [i3]Andreas Tritsarolis, Nikos Pelekis, Konstantina Bereta, Dimitris Zissis, Yannis Theodoridis:
On Vessel Location Forecasting and the Effect of Federated Learning. CoRR abs/2405.19870 (2024) - 2023
- [j20]Dimitris Zissis
Information sharing through digitalisation in decentralised supply chains. Ann. Oper. Res. 327(2): 763-778 (2023) - [j19]Alexandros Troupiotis-Kapeliaris
The Big Picture: An Improved Method for Mapping Shipping Activities. Remote. Sens. 15(21): 5080 (2023) - [j18]Osvaldo Pulpito
Saliency-Aided Online RPCA for Moving Target Detection in Infrared Maritime Scenarios. Sensors 23(14): 6334 (2023) - [c30]Alexandros Troupiotis-Kapeliaris
A Digital Twin for Maritime Situational Awareness. BDCAT 2023: 26:1-26:2 - [c29]Stamatis Stefanopoulos, Charilaos Akasiadis, Nikos Pelekis, Dimitris Zissis:
Scalable Distributed Trajectory Clustering Using Apache Spark. EDBT/ICDT Workshops 2023 - [c28]Ioannis Karantaidis, Konstantina Bereta, Dimitris Zissis:
A Hybrid Method for Vessel Detection in High-Resolution Satellite Imagery. IGARSS 2023: 5738-5741 - 2022
- [j17]Naoum Tsolakis
Towards AI driven environmental sustainability: an application of automated logistics in container port terminals. Int. J. Prod. Res. 60(14): 4508-4528 (2022) - [c27]Konstantina Bereta, Ioannis Karantaidis, Dimitris Zissis:
Vessel Traffic Density Maps Based on Vessel Detection in Satellite Imagery. IGARSS 2022: 2845-2847 - [c26]Alexandros Troupiotis-Kapeliaris, Giannis Spiliopoulos
Navigating through dense waters: a toolbox for creating maritime density maps. SETN 2022: 60:1-60:4 - [p4]Nikos Giatrakos
Processing Big Data in Motion: Core Components and System Architectures with Applications to the Maritime Domain. Technologies and Applications for Big Data Value 2022: 497-518 - 2021
- [j16]Antonios Makris
Correction to: MongoDB Vs PostgreSQL: a comparative study on performance aspects. GeoInformatica 25(1): 241-242 (2021) - [j15]Antonios Makris
MongoDB Vs PostgreSQL: A comparative study on performance aspects. GeoInformatica 25(2): 243-268 (2021) - [j14]Konstantinos Chatzikokolakis
A comparison of supervised learning schemes for the detection of search and rescue (SAR) vessel patterns. GeoInformatica 25(4): 601-622 (2021) - [c25]Marios Vodas
Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data. IEEE BigData 2021: 2052-2057 - [c24]Nikolas Zygouras, Giannis Spiliopoulos
Detecting representative trajectories from global AIS datasets. ITSC 2021: 2278-2285 - [c23]Ioannis Kontopoulos
A computer vision approach for trajectory classification. MDM 2021: 163-168 - [p3]Konstantina Bereta, Konstantinos Chatzikokolakis, Dimitris Zissis:
Maritime Reporting Systems. Guide to Maritime Informatics 2021: 3-30 - [p2]César Ducruet, Justin Berli, Giannis Spiliopoulos
Maritime Network Analysis: Connectivity and Spatial Distribution. Guide to Maritime Informatics 2021: 299-317 - [e1]Alexander Artikis, Dimitris Zissis:
Guide to Maritime Informatics. Springer 2021, ISBN 978-3-030-61852-0 [contents] - 2020
- [j13]Dimitris Zissis
A Distributed Spatial Method for Modeling Maritime Routes. IEEE Access 8: 47556-47568 (2020) - [j12]Konstantinos Tserpes, Patrizio Dazzi
Special Issue on High Performance Services Computing and Internet Technologies. Future Gener. Comput. Syst. 109: 642-643 (2020) - [j11]Evangelos Psomakelis
Context agnostic trajectory prediction based on λ-architecture. Future Gener. Comput. Syst. 110: 531-539 (2020) - [j10]Ioannis Kontopoulos
Real-time maritime anomaly detection: detecting intentional AIS switch-off. Int. J. Big Data Intell. 7(2): 85-96 (2020) - [c22]Ioannis Kontopoulos
Classification of vessel activity in streaming data. DEBS 2020: 153-164 - [c21]Konstantina Bereta
Vessel Detection using Image Processing and Neural Networks. IGARSS 2020: 2276-2279 - [c20]Alexandros Troupiotis-Kapeliaris, Konstantinos Chatzikokolakis, Dimitris Zissis
Experimental Comparison of Complex Event Processing Systems in the Maritime Domain. MDM 2020: 293-298 - [p1]Manolis Pitsikalis, Konstantina Bereta, Marios Vodas
Event Processing for Maritime Situational Awareness. Big Data Analytics for Time-Critical Mobility Forecasting 2020: 255-274
2010 – 2019
- 2019
- [j9]Nikos Giatrakos, Nikos Katzouris, Antonios Deligiannakis, Alexander Artikis, Minos N. Garofalakis, George Paliouras, Holger Arndt, Raffaele Grasso, Ralf Klinkenberg, Miguel Ponce de Leon, Gian Gaetano Tartaglia, Alfonso Valencia
Interactive Extreme: Scale Analytics Towards Battling Cancer. IEEE Technol. Soc. Mag. 38(2): 54-61 (2019) - [c19]Aristides Milios, Konstantina Bereta
Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection. FUSION 2019: 1-5 - [i2]Evangelos Psomakelis, Konstantinos Tserpes, Dimitris Zissis, Dimosthenis Anagnostopoulos, Theodora A. Varvarigou:
Context agnostic trajectory prediction based on λ-architecture. CoRR abs/1909.13241 (2019) - 2018
- [c18]Ioannis Kontopoulos
Countering Real-Time Stream Poisoning: An Architecture for Detecting Vessel Spoofing in Streams of AIS Data. DASC/PiCom/DataCom/CyberSciTech 2018: 981-986 - [c17]Vincenzo Gulisano
The DEBS 2018 Grand Challenge. DEBS 2018: 191-194 - [c16]Konstantinos Chatzikokolakis, Dimitrios Zissis, Giannis Spiliopoulos, Konstantinos Tserpes:
Mining Vessel Trajectory Data for Patterns of Search and Rescue. EDBT/ICDT Workshops 2018: 117-124 - 2017
- [j8]Theodora A. Varvarigou, Dimitrios Zissis
Special issue on "Software architectures and systems for real time data stream analytics". J. Syst. Softw. 127: 177-178 (2017) - [j7]Angelos Valsamis, Konstantinos Tserpes
Employing traditional machine learning algorithms for big data streams analysis: The case of object trajectory prediction. J. Syst. Softw. 127: 249-257 (2017) - [c15]Giannis Spiliopoulos
Knowledge extraction from maritime spatiotemporal data: An evaluation of clustering algorithms on Big Data. IEEE BigData 2017: 1682-1687 - [c14]Dimitrios Zissis
Intelligent security on the edge of the cloud. ICE/ITMC 2017: 1066-1070 - [c13]Elias K. Xidias
Adaptive neuro fuzzy inference system for vessel position forecasting. ICE/ITMC 2017: 1071-1075 - [c12]José Ferreira, Carlos Agostinho
Maritime data technology landscape and value chain exploiting oceans of data for maritime applications. ICE/ITMC 2017: 1113-1122 - [c11]Giannis Spiliopoulos
A Big Data Driven Approach to Extracting Global Trade Patterns. MATES@VLDB 2017: 109-121 - 2016
- [j6]Dimitrios Zissis
Real-time vessel behavior prediction. Evol. Syst. 7(1): 29-40 (2016) - [c10]Leonardo Maria Millefiori, Dimitrios Zissis
A distributed approach to estimating sea port operational regions from lots of AIS data. IEEE BigData 2016: 1627-1632 - [c9]Leonardo Maria Millefiori, Dimitrios Zissis
Scalable and Distributed Sea Port Operational Areas Estimation from AIS Data. ICDM Workshops 2016: 374-381 - [c8]Natalia Georgiadi, Eleni Kokkoli-Papadopoulou, George Kordatos, Konstantinos Partheniadis, Manos Sparakis, Panayiotis Koutsabasis
A pervasive role-playing game for introducing elementary school students to archaeology. MobileHCI Adjunct 2016: 1016-1020 - [c7]Giorgos Anagnostakis, Michalis Antoniou, Elena Kardamitsi, Thodoris Sachinidis, Panayiotis Koutsabasis
Accessible museum collections for the visually impaired: combining tactile exploration, audio descriptions and mobile gestures. MobileHCI Adjunct 2016: 1021-1025 - [i1]Angelos Valsamis, Konstantinos Tserpes, Dimitrios Zissis, Dimosthenis Anagnostopoulos, Theodora A. Varvarigou:
Employing traditional machine learning algorithms for big data streams analysis: the case of object trajectory prediction. CoRR abs/1609.00203 (2016) - 2015
- [j5]Dimitrios Zissis
A cloud based architecture capable of perceiving and predicting multiple vessel behaviour. Appl. Soft Comput. 35: 652-661 (2015) - [c6]Nikolaos Zorbas, Dimitrios Zissis
Predicting Object Trajectories from High-Speed Streaming Data. TrustCom/BigDataSE/ISPA (2) 2015: 229-234 - 2014
- [j4]Dimitrios Zissis
Trust coercion in the name of usable public key infrastructure. Secur. Commun. Networks 7(11): 1734-1745 (2014) - 2013
- [c5]Roxani Skiada, Eva Soroniati, Anna Gardeli, Dimitrios Zissis
EasyLexia: A Mobile Application for Children with Learning Difficulties. DSAI 2013: 218-228 - [c4]Dimitrios Zissis
Design and Development Guidelines for Real-Time, Geospatial Mobile Applications: Lessons from 'MarineTraffic'. MobiWIS 2013: 107-120 - 2012
- [j3]Dimitrios Zissis
Addressing cloud computing security issues. Future Gener. Comput. Syst. 28(3): 583-592 (2012) - 2011
- [j2]Argyris Arnellos
Fair digital signing: The structural reliability of signed documents. Comput. Secur. 30(8): 580-596 (2011) - [j1]Dimitrios Zissis
Securing e-Government and e-Voting with an open cloud computing architecture. Gov. Inf. Q. 28(2): 239-251 (2011) - [c3]Dimitrios Zissis
Cryptographic Dysfunctionality-A Survey on User Perceptions of Digital Certificates. ICGS3/e-Democracy 2011: 80-87 - [c2]Dimitrios Lekkas, Dimitrios Zissis
Leveraging the e-passport PKI to Achieve Interoperable Security for e-government Cross Border Services. ICGS3/e-Democracy 2011: 96-103
2000 – 2009
- 2008
- [c1]Dimitrios Zissis, Anastasia-Evangelia Papadopoulou, Dimitrios Lekkas:
Enhancing Security in the Integration of E-Government - The e-School Initiative. WEBIST (2) 2008: 495-502
Coauthor Index
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last updated on 2024-11-08 21:27 CET by the dblp team
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