A Bayesian inference approach for batch trajectory estimation. - Melita Hadzagic; Hannah Michalska (FUSION, 2011)

Reliability in the Thresholded Dempster-Shafer Algorithm for ESM Data Fusion. - Melita Hadzagic; Marie-Odette St-Hilaire; Pierre Valin (Belief Functions, 2012)

Reliability and relevance in the Thresholded Dempster-Shafer algorithm for ESM data fusion. - Melita Hadzagic; Marie-Odette St-Hilaire; Pierre Valin; Elisa Shahbazian (FUSION, 2012)

Context-based information quality for sequential decision making. - Galina Rogova; Melita Hadzagic; Marie-Odette St-Hilaire; Mihai Cristian Florea; Pierre Valin (CogSIMA, 2013)

Maritime traffic data mining using R. - Melita Hadzagic; Marie-Odette St-Hilaire; Sean Webb; Elisa Shahbazian (FUSION, 2013)

Maritime data integration and analysis: recent progress and research challenges. - Christophe Claramunt; Cyril Ray; Elena Camossi; Anne-Laure Jousselme; Melita Hadzagic; Gennady L. Andrienko; Natalia V. Andrienko; Yannis Theodoridis; George A. Vouros; Loïc Salmon (EDBT, 2017)

Bayesian inference for biomarker discovery in proteomics: an analytic solution. - Noura Dridi; Audrey Giremus; Jean-François Giovannelli; Caroline Truntzer; Melita Hadzagic; Jean-Philippe Charrier; Laurent Gerfault; Patrick Ducoroy; Bruno Lacroix; Pierre Grangeat; Pascal Roy (EURASIP J. Bioinform. Syst. Biol., 2017)

Visual exploration of movement and event data with interactive time masks. - 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 (Vis. Informatics, 2017)

Towards an Optimal Design of a Data Fusion System for Maritime Domain Awareness (Poster). - Melita Hadzagic; Elisa Shahbazian (CogSIMA, 2018)

Composite Event Patterns for Maritime Monitoring. - Manolis Pitsikalis; Ioannis Kontopoulos; Alexander Artikis; Elias Alevizos; Paul Delaunay; Jules-Edouard Pouessel; Richard Dreo; Cyril Ray; Elena Camossi; Anne-Laure Jousselme; Melita Hadzagic (SETN, 2018)

Relevance and Importance in Deep Learning for Open Source Data Processing to Enhance Context. - Moslem Ouled Sghaier; Melita Hadzagic; Julian Falardeau; Nathan Kashyap (FUSION, 2019)

Fusion of SAR and Multispectral Satellite Images Using Multiscale Analysis and Dempster-Shafer Theory for Flood Extent Extraction. - Moslem Ouled Sghaier; Melita Hadzagic; Jirí Patera (FUSION, 2019)

Akaike and Bayesian Information Criteria for Hidden Markov Models. - Noura Dridi; Melita Hadzagic (IEEE Signal Process. Lett., 2019)

Hard and Soft Data Fusion for Maritime Traffic Monitoring Using the Integrated Ornstein-Uhlenbeck Process. - Melita Hadzagic; Maxime Isabelle; Nathan Kashyap (CogSIMA, 2020)

Public Health Emergency Monitoring (HEM) System for Early Disease Outbreak Detection and Transmission Patterns Estimation. - Melita Hadzagic; Jun Ye Yu; Elisa Shahbazian (CogSIMA, 2022)

Cloud-Based Knowledge Extraction (CBEx) System: A Solution for Real-time Data Analysis for Rapid Decision Making. - Julian Falardeau; Melita Hadzagic; Elisa Shahbazian (CCECE, 2023)

Cognitive and Computational Aspects of Marine Incident Situation Management System - the Canadian Coast Guard Use Case -. - Éric-Olivier Bossé; Melita Hadzagic; Elisa Shahbazian; Tyler Brand; Sean McCaffrey (CogSIMA, 2024)

Verifiable Human Autonomy Teaming for NORAD C2 Operations. - Moslem Ouled Sghaier; Melita Hadzagic; Elisa Shahbazian (CogSIMA, 2024)

Leveraging Generative Deep Learning Models for Enhanced Change Detection in Heterogeneous Remote Sensing Data. - Moslem Ouled Sghaier; Melita Hadzagic; Jun Ye Yu; Sofia Shton; Elisa Shahbazian (FUSION, 2024)

Change Detection in Heterogeneous Satellite Remote-Sensing Imagery Using Deep Features Comparison. - Moslem Ouled Sghaier; Melita Hadzagic; Jun Ye Yu; Sofia Shton (IGARSS, 2024)