Cèsar Ferri

发表

SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration

Fernando Martínez-Plumed, Juan Carlos Casamayor, Cèsar Ferri, 2018, Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML.

ROC Analysis in Artificial Intelligence, 1st International Workshop, ROCAI-2004, Valencia, Spain, August 22, 2004

Peter A. Flach, José Hernández-Orallo, Nicolas Lachiche, 2004, ROCAI.

José Hernández-Orallo, Fernando Martínez-Plumed, Cèsar Ferri, 2019, ArXiv.

General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation pdf

José Hernández-Orallo, Lidia Contreras Ochando, Fernando Martínez-Plumed, 2018, ArXiv.

Identifying the Machine Learning Family from Black-Box Models

José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, 2018, CAEPIA.

Multi-paradigm learning of declarative models: Thesis

Cèsar Ferri, C. Ferri, 2004 .

Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge

José Hernández-Orallo, Lidia Contreras Ochando, Fernando Martínez-Plumed, 2019, ECML/PKDD.

The teaching size: computable teachers and learners for universal languages

José Hernández-Orallo, Jan Arne Telle, Cèsar Ferri, 2019, Machine Learning.

A dataset of attributes from papers of a machine learning conference

Cèsar Ferri, Diego Vallejo-Huanga, Paulina Morillo, 2019, Data in brief.

Identifying the Sport Activity of GPS Tracks

Cèsar Ferri, C. Ferri, 2016 .

Re-designing Cost-sensitive Decision Tree Learning

José Hernández-Orallo, María José Ramírez-Quintana, Cèsar Ferri, 2002 .

Automating Common Data Science Matrix Transformations

José Hernández-Orallo, Lidia Contreras Ochando, Cèsar Ferri, 2019, PKDD/ECML Workshops.

CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories

Nicolas Lachiche, Fernando Martínez-Plumed, Meelis Kull, 2021, IEEE Transactions on Knowledge and Data Engineering.

Learning alternative ways of performing a task

José Hernández-Orallo, María José Ramírez-Quintana, Cèsar Ferri, 2020, Expert Syst. Appl..

Decision Support for Data Mining

Peter A. Flach, José Hernández-Orallo, Jan Struyf, 2003 .

Probabilistic class hierarchies for multiclass classification

Cèsar Ferri, Daniel Silva-Palacios, María José Ramírez-Quintana, 2018, J. Comput. Sci..

Data Mining and Decision Support: Aspects of Integration and Collaboration

Peter A. Flach, José Hernández-Orallo, Hendrik Blockeel, 2003 .

Chapter 7 DECISION SUPPORT FOR DATA MINING An introduction to ROC analysis and its applications

Peter A. Flach, Hendrik Blockeel, Jan Struyf, 2003 .

Adapting Hierarchical Multiclass Classification to Changes in the Target Concept

María José Ramírez-Quintana, Cèsar Ferri, Daniel Silva-Palacios, 2018, CAEPIA.

Proceedings of the 28th International Conference on Machine Learning

Peter A. Flach, José Hernández-Orallo, Cèsar Ferri, 2011 .

ICMLA 2014/2015/2016/2017 Accepted Papers Data Set

Cèsar Ferri, Diego Vallejo-Huanga, Paulina Morillo, 2019 .

Applying distances between terms to both flat and hierarchical data

José Hernández-Orallo, Cèsar Ferri, J. A. Bedoya-Puerta, 2011 .

Setting decision thresholds when operating conditions are uncertain

Peter A. Flach, José Hernández-Orallo, Cèsar Ferri, 2019, Data Mining and Knowledge Discovery.

Calibration of Machine Learning Models

José Hernández-Orallo, María José Ramírez-Quintana, Cèsar Ferri, 2012 .

Agrupamiento conceptual jerárquico basado en distancias

José Hernández-Orallo, Ana Funes, Cèsar Ferri, 2010 .