Wassim Ben Chaabene

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wassim Ben Chaabene trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. G. Huang
  2. Ian T. Jolliffe

Papers from Wassim Ben Chaabene's perspective

Ordered by how strongly the researchers Wassim Ben Chaabene trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Prototypical Networks for Few-shot Learning
  3. Extreme learning machine: Theory and applications
  4. A novel machine learning‐based algorithm to detect damage in high‐rise building structures
  5. Automatic Pixel‐Level Crack Detection and Measurement Using Fully Convolutional Network (Comput. Aided Civ. Infrastructure Eng.)
  6. Convex incremental extreme learning machine (Neurocomputing)
  7. NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion (IEEE transactions on industrial electronics (1982. Print))
  8. Theory of the backpropagation neural network
  9. Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images (Comput. Aided Civ. Infrastructure Eng.)
  10. Automatic pixel‐level multiple damage detection of concrete structure using fully convolutional network (Comput. Aided Civ. Infrastructure Eng.)

Their papers