| Heterogeneous integrated dataset for maritime intelligence, surveillance, and reconnaissance C Ray, R Dréo, E Camossi, AL Jousselme, C Iphar Data in brief 25, 104141, 2019 | 77 | 2019 |
| DeAIS project: Detection of AIS spoofing and resulting risks C Ray, C Iphar, A Napoli, R Gallen, A Bouju OCEANS 2015-Genova, 1-6, 2015 | 65 | 2015 |
| Detection of false AIS messages for the improvement of maritime situational awareness C Iphar, A Napoli, C Ray OCEANS'15 MTS/IEEE Washington, 1-7, 2015 | 59 | 2015 |
| Data integrity assessment for maritime anomaly detection C Iphar, C Ray, A Napoli Expert Systems with Applications 147, 113219, 2020 | 51 | 2020 |
| An expert-based method for the risk assessment of anomalous maritime transportation data C Iphar, A Napoli, C Ray Applied Ocean Research 104, 102337, 2020 | 33 | 2020 |
| Risk Analysis of falsified Automatic Identification System for the improvement of maritime traffic safety C Iphar, A Napoli, C Ray, E Alincourt, D Brosset ESREL 2016, 606-613-ISBN 978-1-138-02997-2, 2016 | 28 | 2016 |
| Uses and Misuses of the Automatic Identification System C Iphar, C Ray, A Napoli OCEANS 2019-Marseille, 1-10, 2019 | 19 | 2019 |
| Methodology for real-time detection of AIS falsification C Ray, C Iphar, A Napoli Maritime Knowledge Discovery and Anomaly Detection Workshop, 74-77-ISBN 978 …, 2016 | 18 | 2016 |
| Data Quality Assessment for Maritime Situation Awareness C Iphar, A Napoli, R Cyril ISSDQ 2015-The 9th International Symposium on Spatial Data Quality 2, 2015 | 14 | 2015 |
| Fixing errors in the AIS destination field NB Abdallah, C Iphar, G Arcieri, AL Jousselme OCEANS 2019-Marseille, 1-5, 2019 | 11 | 2019 |
| Maritime data processing in relational databases L Etienne, C Ray, E Camossi, C Iphar Guide to Maritime Informatics, 73-118, 2021 | 10 | 2021 |
| Formalisation of a data analysis environment based on anomaly detection for risk assessment: Application to Maritime Domain Awareness C Iphar PSL Research University, 2017 | 10 | 2017 |
| Uncertainty handling for maritime route deviation AL Jousselme, C Iphar, G Pallotta Guide to Maritime Informatics, 263, 2021 | 9 | 2021 |
| Evaluation of maritime event detection against missing data M Zocholl, C Iphar, M Pitsikalis, AL Jousselme, A Artikis, C Ray Quality of Information and Communications Technology: 12th International …, 2019 | 7 | 2019 |
| A geometry-based fuzzy approach for long-term association of vessels to maritime routes C Iphar, AL Jousselme Ocean Engineering 281, 114755, 2023 | 6 | 2023 |
| Use case design and big data analytics evaluation for fishing monitoring C Ray, E Camossi, R Dréo, AL Jousselme, C Iphar, M Zocholl, ... OCEANS 2019-Marseille, 1-8, 2019 | 6 | 2019 |
| On the interest of data mining for an integrity assessment of AIS messages C Iphar, A Napoli, C Ray 1st International ICDM Workshop on Maritime Domain Data Mining (MDDM 2016 …, 2016 | 6 | 2016 |
| Pseudo-synthetic datasets in support to maritime surveillance algorithms assessment C Iphar, AL Jousselme, C Ray 1st workshop on veracity in data, as part of the 19ème conférence …, 2019 | 5 | 2019 |
| Integrity Assessment of a Worldwide Maritime Tracking System for a Geospatial Analysis at Sea C Iphar, A Napoli, C Ray 20th AGILE International Conference on Geographic Information Science (AGILE …, 2017 | 5 | 2017 |
| Topography-based Fuzzy Assessment of Runoff Area with 3D Spatial Relations C Iphar, L Boudet, JP Poli 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 4 | 2021 |
Cyril RayAssociate Professor in Computer Science, Naval Academyecole-navale.fr의 이메일 확인됨