Lalita Gupta

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 Lalita Gupta trusts overall

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

  1. Michael R. Chernick

Papers from Lalita Gupta's perspective

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

  1. Extracting and composing robust features with denoising autoencoders
  2. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
  3. Wavelet Methods for Time Series Analysis (Technometrics)
  4. Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders (IEEE Access)
  5. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol
  6. ECG signal denoising and baseline wander correction based on the empirical mode decomposition (Comput. Biol. Medicine)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. GENERATIVE ADVERSARIAL NETS

Their papers