Cèsar Ferri
Artificial Intelligence · 2002–2021
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #12,112 of 35,345 by trust here, #19,439 by citations
- Information Systems — 12 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Cèsar Ferri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charles Peter Elkan
- David J. Hand
- Tom Fawcett
- Peter A. Flach
- Jin Huang
- Bianca Zadrozny
- R. Caruana
- Robert J. Till
- Ludmila I. Kuncheva
- Charles X. F. Ling
Who trusts Cèsar Ferri overall
- Jin Huang
- Shan Li
- Harald Steck
- Thorsten Joachims
- Philipp Probst
- Ronaldo Cristiano Prati
- Gustavo E. A. P. A. Batista
- Peter A. Flach
- Jesse Davis
- Reda Yacouby
Papers from Cèsar Ferri's perspective
Ordered by how strongly the researchers Cèsar Ferri trusts endorse each paper. Same corpus, a different order for every researcher.
- UCI Repository of machine learning databases
- A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
- The Comparison and Evaluation of Forecasters.
- Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
- The Foundations of Cost-Sensitive Learning
- Better decisions through science. (Scientific American)
- Tree Induction for Probability-Based Ranking
- Gradient-based learning applied to document recognition
- An introduction to ROC analysis
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories (2021) — 337 citations
- An experimental comparison of performance measures for classification (2009) — 873 citations
- Learning Decision Trees Using the Area Under the ROC Curve (2002) — 345 citations