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Jérémie SUBLIME

Jérémie SUBLIME

Teacher-Researcher, PhD - Accredited to Supervise Research

I have been an Associate Professor at Isep since September 2016, where I am a member of the DaSSIP team (Data Science, Signal and Image Processing) and Head of the Data Intelligence major. I have also served as a tenured researcher at LIPN – CNRS UMR 7030, where I was part of the A3 team specializing in Machine Learning, from 2013 to 2022.

I obtained my PhD in Applied Computer Science from AgroParisTech (University of Paris-Saclay) in November 2016. I also hold an Engineering Degree in Software Engineering and Computer Vision from EISTI Cergy (now CY Tech), as well as a Master of Engineering in Computer and Information Technologies from INHA University in South Korea. I received both degrees in 2013.

01 49 54 52 19
jeremie.sublime@isep.fr

Search interests:

My research focuses on machine learning and data science problems, covering a wide spectrum of topics ranging from unsupervised learning to image processing and change detection. My work can be divided into three main areas:

- Unsupervised learning, with a particular focus on new clustering paradigms such as multi-view, collaborative, and alternative clustering.
- Applications of unsupervised learning in image processing (satellite and medical images): segmentation, change detection, and predictive algorithms.
- Unsupervised neural networks such as autoencoders combined with various deep learning architectures (CNN, GRU, W-Nets, etc.), as well as Kohonen-based neural networks.

Teaching:

- Introduction to data Analysis
- Mining bivariate data
- Mining categorial bivariate data & introduction to multivariate
- Data Visualization
- Introduction to unsupervised learning and clustering
- Introduction to supervised learning
- Time series analysis, ARIMA models
- Time series analysis, Hidden Markov Models
- Introduction to text Mining

Journals:

  • Jérémie Sublime: The AI Race: Why Current Neural Network based Architectures are a Poor Basis for Artificial General Intelligence. In: Journal of Artificial Intelligence Research, Volume 79:41-67
  • Paul Bastelica, Antoine Labbé, Pascale Hamard, Florence Rossant, Hélène Urien, Jérémie Sublime, Hélène Claudel, Nan Ding, Michel Paques, and Christophe Baudouin: Three-dimensional Microarchitecture of Lamina Cribrosa Pores in High and Normal-tension Glaucoma using Optical Coherence Tomography. In: Journal of Glaucoma, September 2024
  • Juan Zamora and Jérémie Sublime: An Ensemble and Multi-view Clustering method Based on Kolmogorov Complexity.In: MDPI Entropy, 25(2):371, 2023.
  • Ana Flavia Dos Reis, Yahia Medjahdi, Bruno Sens Chang, Jérémie Sublime, Glauber Brant and Carlos Faouzi Bader: Low Complex LSTM-NN-based Receiver for Vehicular Communications in the Presence of High-Power Amplifier Distorsions. In: IEEE Access, volume 10, p121985-122000, 11/2022.
  • Clément Royer, Jérémie Sublime, Florence Rossant and Michel Paques: Unsupervised approaches for the segmentation of dry ARMD lesions in eye fundus cSLO images. In: J. Imaging 7(8): 143, 2021.
  • Jérémie Sublime: The 2011 Tohoku Tsunami from the Sky: A review on the evolution of Artificial Intelligence Methods for Damage Assessment. In: Geosciences 11(3): 133, 2021.
  • Guillaume Dupont, Ekaterina Kalinicheva, Jérémie Sublime, Florence Rossant and Michel Pâques: Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection. In: J. Imaging 6(7): 57, 2020.
  • Ekaterina Kalinicheva, Jérémie Sublime and Maria Trocan: Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder. Remote Sensing Remote Sensing 12(11): 1816, 2020.
  • Ekaterina Kalinicheva, Dino Ienco, Jérémie Sublime and Maria Trocan: Unsupervised Change Detection Analysis in Satellite Image Time Series using Deep Learning Combined with Graph-Based Approaches. In IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1450-1466 , 2020
  • Jérémie Sublime, Guénaël Cabanes and Basarab Matei: Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering. Entropy 21(10): 951 , 2019
  • Jérémie Sublime and Ekaterina Kalinicheva: Automatic post-disaster damage mapping using Deep Learning Techniques for change detection : Case study of the Tohoku tsunami. Remote Sensing 11(9): 1123 (2019)
  • Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols: Entropy based probabilistic collaborative clustering. Pattern Recognition 72: 144-157 (2017)
  • Jérémie Sublime, Andrés Troya-Galvis, Anne Puissant: Multi-Scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques. Remote Sensing 9(5): 495 (2017
  • Jérémie Sublime, Nistor Grozavu, Guénaël Cabanes, Younès Bennani, Antoine Cornuéjols: From horizontal to vertical collaborative clustering using generative topographic maps. Int. J. Hybrid Intell. Syst. 12(4): 245-256 (2015)
  • Sonia Yassa, Jérémie Sublime, Rachid Chelouah, Hubert Kadima, GeunSik Jo, Bertrand Granado: A genetic algorithm for multi-objective optimisation in workflow scheduling with hard constraints. IJMHeur 2(4): 415-433 (2013)

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