Saroj Kumar Biswas

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 Saroj Kumar Biswas trusts overall

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

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

Who trusts Saroj Kumar Biswas overall

  1. Mark T. Keane
  2. Eoin M. Kenny

Papers from Saroj Kumar Biswas's perspective

Ordered by how strongly the researchers Saroj Kumar Biswas 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