Igor Loi

Computer Networks and Communications · 2010–2017

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Igor Loi trusts overall

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

  1. John R. Nickolls

Who trusts Igor Loi overall

  1. Daniele Palossi
  2. Antonio Pullini
  3. Francesco Conti

Papers from Igor Loi's perspective

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

  1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2. BinaryConnect: Training Deep Neural Networks with binary weights during propagations
  3. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
  4. Convolution engine: balancing efficiency & flexibility in specialized computing
  5. Networks on Chips: A New SoC Paradigm (Computer)
  6. Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
  7. The GPU Computing Era
  8. A survey of research and practices of Network-on-chip (CSUR)
  9. Simulating the power consumption of large-scale sensor network applications (ACM International Conference on Embedded Networked Sensor Systems)
  10. A convolutional neural network cascade for face detection

Their papers