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2020 – today
- 2024
[c17]Éric-Olivier Bossé, Melita Hadzagic, Elisa Shahbazian, Tyler Brand, Sean McCaffrey:
Cognitive and Computational Aspects of Marine Incident Situation Management System - the Canadian Coast Guard Use Case -. CogSIMA 2024: 120-126- [c16]Moslem Ouled Sghaier, Melita Hadzagic, Elisa Shahbazian:
Verifiable Human Autonomy Teaming for NORAD C2 Operations. CogSIMA 2024: 137-144 - [c15]Moslem Ouled Sghaier, Melita Hadzagic, Jun Ye Yu, Sofia Shton, Elisa Shahbazian:
Leveraging Generative Deep Learning Models for Enhanced Change Detection in Heterogeneous Remote Sensing Data. FUSION 2024: 1-8 - [c14]Moslem Ouled Sghaier, Melita Hadzagic, Jun Ye Yu, Sofia Shton:
Change Detection in Heterogeneous Satellite Remote-Sensing Imagery Using Deep Features Comparison. IGARSS 2024: 8599-8602 - 2023
- [c13]Julian Falardeau, Melita Hadzagic, Elisa Shahbazian:
Cloud-Based Knowledge Extraction (CBEx) System: A Solution for Real-time Data Analysis for Rapid Decision Making. CCECE 2023: 324-330 - 2022
- [c12]Melita Hadzagic, Jun Ye Yu, Elisa Shahbazian:
Public Health Emergency Monitoring (HEM) System for Early Disease Outbreak Detection and Transmission Patterns Estimation. CogSIMA 2022: 170-184 - 2020
- [c11]Melita Hadzagic, Maxime Isabelle, Nathan Kashyap:
Hard and Soft Data Fusion for Maritime Traffic Monitoring Using the Integrated Ornstein-Uhlenbeck Process. CogSIMA 2020: 98-105
2010 – 2019
- 2019
- [j3]Noura Dridi
, Melita Hadzagic:
Akaike and Bayesian Information Criteria for Hidden Markov Models. IEEE Signal Process. Lett. 26(2): 302-306 (2019) - [c10]Moslem Ouled Sghaier, Melita Hadzagic, Julian Falardeau, Nathan Kashyap:
Relevance and Importance in Deep Learning for Open Source Data Processing to Enhance Context. FUSION 2019: 1-8 - [c9]Moslem Ouled Sghaier, Melita Hadzagic, Jirí Patera:
Fusion of SAR and Multispectral Satellite Images Using Multiscale Analysis and Dempster-Shafer Theory for Flood Extent Extraction. FUSION 2019: 1-8 - 2018
- [c8]Melita Hadzagic, Elisa Shahbazian:
Towards an Optimal Design of a Data Fusion System for Maritime Domain Awareness (Poster). CogSIMA 2018: 154-159 - [c7]Manolis Pitsikalis, Ioannis Kontopoulos, Alexander Artikis, Elias Alevizos, Paul Delaunay, Jules-Edouard Pouessel, Richard Dreo, Cyril Ray, Elena Camossi, Anne-Laure Jousselme, Melita Hadzagic:
Composite Event Patterns for Maritime Monitoring. SETN 2018: 29:1-29:4 - 2017
- [j2]Noura Dridi, Audrey Giremus, Jean-François Giovannelli, Caroline Truntzer, Melita Hadzagic, Jean-Philippe Charrier, Laurent Gerfault, Patrick Ducoroy, Bruno Lacroix, Pierre Grangeat, Pascal Roy:
Bayesian inference for biomarker discovery in proteomics: an analytic solution. EURASIP J. Bioinform. Syst. Biol. 2017: 9 (2017) - [j1]Natalia V. Andrienko, Gennady L. Andrienko, Elena Camossi, Christophe Claramunt, Jose Manuel Cordero Garcia, Georg Fuchs, Melita Hadzagic, Anne-Laure Jousselme, Cyril Ray, David Scarlatti, George A. Vouros:
Visual exploration of movement and event data with interactive time masks. Vis. Informatics 1(1): 25-39 (2017) - [c6]Christophe Claramunt, Cyril Ray, Elena Camossi, Anne-Laure Jousselme, Melita Hadzagic, Gennady L. Andrienko, Natalia V. Andrienko, Yannis Theodoridis, George A. Vouros, Loïc Salmon:
Maritime data integration and analysis: recent progress and research challenges. EDBT 2017: 192-197 - 2013
- [c5]Galina Rogova, Melita Hadzagic, Marie-Odette St-Hilaire, Mihai Cristian Florea, Pierre Valin:
Context-based information quality for sequential decision making. CogSIMA 2013: 16-21 - [c4]Melita Hadzagic, Marie-Odette St-Hilaire, Sean Webb, Elisa Shahbazian:
Maritime traffic data mining using R. FUSION 2013: 2041-2048 - 2012
- [c3]Melita Hadzagic, Marie-Odette St-Hilaire, Pierre Valin:
Reliability in the Thresholded Dempster-Shafer Algorithm for ESM Data Fusion. Belief Functions 2012: 267-274 - [c2]Melita Hadzagic, Marie-Odette St-Hilaire, Pierre Valin, Elisa Shahbazian:
Reliability and relevance in the Thresholded Dempster-Shafer algorithm for ESM data fusion. FUSION 2012: 615-620 - 2011
- [c1]Melita Hadzagic, Hannah Michalska:
A Bayesian inference approach for batch trajectory estimation. FUSION 2011: 1-8
Coauthor Index
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