Kaushik Veeraraghavan

Signal Processing · 2015–2020

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

Subfields

Whom Kaushik Veeraraghavan trusts

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

  1. Eamonn J. Keogh (in Signal Processing)
  2. Stefano Lonardi (in Signal Processing)

Who trusts Kaushik Veeraraghavan

  1. Akshitha Sriraman (in Artificial Intelligence)
  2. Abhishek Dhanotia (in Artificial Intelligence)

Papers from Kaushik Veeraraghavan's perspective

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

  1. Finding surprising patterns in a time series database in linear time and space (Knowledge Discovery and Data Mining)
  2. Quincy: fair scheduling for distributed computing clusters (Symposium on Operating Systems Principles)
  3. Towards parameter-free data mining (Knowledge Discovery and Data Mining)
  4. A symbolic representation of time series, with implications for streaming algorithms (Workshop on Research Issues on Data Mining and Knowledge Discovery)
  5. CPI2: CPU performance isolation for shared compute clusters (European Conference on Computer Systems)
  6. Exact indexing of dynamic time warping (Knowledge and Information Systems)
  7. Sparrow: distributed, low latency scheduling
  8. Paxos Made Simple
  9. Paragon: QoS-aware scheduling for heterogeneous datacenters (International Conference on Architectural Support for Programming Languages and Operating Systems)
  10. Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing (USENIX Symposium on Operating Systems Design and Implementation)

Their papers