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2020 – today
- 2023
[c8]Nour Kaouk, Lamis Amer, Tina Yaacoub, Youssef Bakouny, Chantal Hajjar, Flavia Khatounian, Joseph Amara, Rita Slim, Ali Mansour
, Cesar Yaghi:
Detecting Patient Readiness for Colonoscopy Through Bowel Image Analysis: A Machine Learning Approach. ApplePies 2023: 493-498- 2021
- [j2]Chantal Hajjar, Ghassan Ghattas, Maya Kharrat Sarkis, Yolla Ghorra Chamoun:
Vine Identification and Characterization in Goblet-Trained Vineyards Using Remotely Sensed Images. Remote. Sens. 13(15): 2992 (2021)
2010 – 2019
- 2015
- [c7]Chantal Hajjar, Hani Hamdan:
Cartes auto-organisatrices pour la classification des données de type intervalle en se basant sur la distance city-block. Symbolic Data Analysis and Visualization 2015: 119-131 - 2013
- [j1]Chantal Hajjar, Hani Hamdan:
Interval data clustering using self-organizing maps based on adaptive Mahalanobis distances. Neural Networks 46: 124-132 (2013) - [c6]Chantal Hajjar, Hani Hamdan:
Interval data clustering using self-organizing maps based on adaptive Mahalanobis distances. IJCNN 2013: 1-6 - 2012
- [c5]Chantal Hajjar, Hani Hamdan:
Self-organizing maps for mixed feature-type symbolic data. ISSPIT 2012: 135-140 - 2011
- [c4]Chantal Hajjar, Hani Hamdan:
Self-Organizing Map Based on City-Block Distance for Interval-Valued Data. CSDM 2011: 281-292 - [c3]Chantal Hajjar, Hani Hamdan:
Self-organizing map based on L2 distance for interval-valued data. SACI 2011: 317-322 - [c2]Hani Hamdan, Chantal Hajjar:
A neural networks approach to interval-valued data clustering. Applicationto Lebanese meteorological stations data. SiPS 2011: 373-378 - [c1]Chantal Hajjar, Hani Hamdan:
Self-organizing map based on hausdorff distance for interval-valued data. SMC 2011: 1747-1752
Coauthor Index
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