Nathan Painchaud
  • Bio
  • Featured Work
  • Publications
  • Talks
  • Resume
  • Teaching
  • Publications
    • Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
    • Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
    • Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?
    • Neural Teleportation
    • Echocardiography Segmentation With Enforced Temporal Consistency
    • Cardiac Segmentation With Strong Anatomical Guarantees
    • On the effectiveness of GAN generated cardiac MRIs for segmentation
    • Cardiac MRI Segmentation with Strong Anatomical Guarantees
  • Talks
    • Attention and Transformers
    • Good Coding Practices in Deep Learning for Medical Imaging Projects
    • Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
    • Deep manifold learning for improved high blood pressure characterization using echocardiography
    • Turbocharge Machine Learning application development with Lightning and Hydra
    • Echocardiography Segmentation with Enforced Temporal Consistency
  • Projects
  • Resume
  • Teaching
    • DLMI
    • Teaching Assistant Positions
      • IFT159 - Analysis and programming
      • IFT287 - Exploitation of relational and OO databases
      • IFT339 - Data structures
      • IFT359 - Functional programming
        • Administrative info
      • IFT630 - Concurrent processes and parallelism
      • IFT780 - Neural networks
      • IFT-3101 - Compilers and interpreters
  • DLMI
  • Teaching Assistant Positions
    • IFT159 - Analysis and programming
    • IFT287 - Exploitation of relational and OO databases
    • IFT339 - Data structures
    • IFT359 - Functional programming
    • IFT630 - Concurrent processes and parallelism
    • IFT780 - Neural networks
    • IFT-3101 - Compilers and interpreters

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  • Administrative info
Teaching
Teaching Assistant Positions
IFT359 - Functional programming

Functional programming

Formalize the notions of procedural abstraction and data abstraction in the context of functional programming.

Administrative info

  • Course acronym: IFT359
  • Course description
  • Lecturer: André Mayers
Last updated on Aug 1, 2017
← Data structures Jan 1, 2018
Concurrent processes and parallelism Jan 1, 2021 →

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