Rohit J. Kate

Artificial Intelligence · 2005–2016

A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Rohit J. Kate trusts overall

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

  1. Eamonn J. Keogh
  2. Jessica Lin
  3. Pierre Geurts
  4. David Haussler
  5. Chih-Jen Lin
  6. Jaka Demsar
  7. Ray R. Larson
  8. Xiaoyue Wang
  9. Jason Lines
  10. Lexiang Ye

Who trusts Rohit J. Kate overall

  1. Raymond J. Mooney
  2. Joohyun Kim
  3. David L. Chen
  4. Hannaneh Hajishirzi
  5. Rik Koncel-Kedziorski
  6. Percy Liang
  7. Jayant Krishnamurthy
  8. Antoine Bordes
  9. Ali Farhadi
  10. Hakan Gunduz

Papers from Rohit J. Kate's perspective

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

  1. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
  2. ImageNet classification with deep convolutional neural networks
  3. Experiencing SAX: a novel symbolic representation of time series (Data mining and knowledge discovery)
  4. Querying and mining of time series data: experimental comparison of representations and distance measures (Proceedings of the VLDB Endowment)
  5. The Nature of Statistical Learning Theory
  6. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Et al
  10. Gradient-based learning applied to document recognition

Their papers