Aimé Lay-Ekuakille

Computer Vision and Pattern Recognition · 2020

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

Subfields

Whom Aimé Lay-Ekuakille trusts overall

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

  1. Gary M. Weiss

Papers from Aimé Lay-Ekuakille's perspective

Ordered by how strongly the researchers Aimé Lay-Ekuakille trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Activity recognition using cell phone accelerometers (SKDD)
  2. Scikit-learn: Machine Learning in Python
  3. TensorFlow: A system for large-scale machine learning
  4. Effective Approaches to Attention-based Neural Machine Translation
  5. A Structured Self-attentive Sentence Embedding
  6. USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors (Ubiquitous Computing)
  7. UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor
  8. mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications (International Workshop on Ambient Assisted Living and Home Care)
  9. Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
  10. A Deep Learning Approach to Human Activity Recognition Based on Single Accelerometer (IEEE International Conference on Systems, Man and Cybernetics)

Their papers