Manomita Chakraborty

2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Manomita Chakraborty trusts overall

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

  1. Chung K. Shin
  2. Kwang Hyuk Im
  3. Sang-Chan Park

Who trusts Manomita Chakraborty overall

  1. Mark T. Keane

Papers from Manomita Chakraborty's perspective

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

  1. A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
  2. Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches
  3. Case-based reasoning and neural network based expert system for personalization
  4. A hybrid approach of neural network and memory-based learning to data mining
  5. MBNR: Case-Based Reasoning with Local Feature Weighting by Neural Network
  6. Memory- and neural-network-based expert system
  7. Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics (Expert systems with applications)
  8. UCI Repository of machine learning databases
  9. Γ and B
  10. Locally Adaptive Metric Nearest-Neighbor Classification (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers