C. Ferri

发表

Proceedings of the 28th International Conference on Machine Learning

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

CASP-DM: Context Aware Standard Process for Data Mining pdf

Peter A. Flach, José Hernández-Orallo, Nicolas Lachiche, 2017, ArXiv.

Accelerating learning by reusing abstract policies in gErl

J. Hernández-Orallo, C. Ferri, Fernando Martínez-Plumed, 2013 .

A New Context-Sensitive and Composable Distance for First-Order Terms . Technical Report

J. Hernández-Orallo, C. Ferri, V. Estruch, 2010 .

Bridging the Gap between Distance and Generalisation

C. Ferri, V. Estruch, J. Hernandez, 2008 .

Applying MML to ILP∗

D. Dowe, C. Ferri, 2011 .

Applying MLL to ILP

D. Dowe, C. Ferri, 2007 .

General-Purpose Inductive Programming for Data Wrangling Automation

J. Hernández-Orallo, C. Ferri, Fernando Martínez-Plumed, 2016 .

Domain specific induction for data wrangling automation ( Demo )

J. Hernández-Orallo, C. Ferri, Fernando Martínez-Plumed, 2017 .

CASP-DM: Context Aware Standard Process for Data Mining

Peter A. Flach, Lidia Contreras Ochando, J. Hernández-Orallo, 2017, ArXiv.

Ordinal model reuse and selection for a varying number of categories

J. Hernández-Orallo, C. Ferri, M. J. Ramírez-Quintana, 2015 .

Teaching Explanations by Examples

J. Hernández-Orallo, C. Ferri, J. A. Telle, 2019 .

The teaching size: computable teachers and learners for universal languages

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

Think Big, Teach Small: Do Language Models Distil Occam's Razor?

J. Hernández-Orallo, C. Ferri, Gonzalo Jaimovitch-López, 2021, NeurIPS.

Decision Trees for Ranking: Effect of new smoothing methods, new splitting criteria and simple pruning methods

Peter A. Flach, J. Hernández-Orallo, C. Ferri, 2003 .

On the relationship between distance and generalisation

J. Hernández-Orallo, C. Ferri, M. J. Ramírez-Quintana, 2006 .

Cost-Sensitive Debugging of Declarative Programs ⋆

J. Hernández-Orallo, C. Ferri, M. J. Ramírez-Quintana, 2011 .

Policy Reuse in a General Learning Framework

J. Hernández-Orallo, C. Ferri, M. J. Ramírez-Quintana, 2013 .

An Instantiation for Sequences of Hierarchical Distance-based Conceptual Clustering

J. Hernández-Orallo, C. Ferri, M. J. Ramírez-Quintana, 2011 .

Calibration of Machine Learning Models. Calibration of Machine Learning Models

J. Hernández-Orallo, C. Ferri, M. J. Ramírez-Quintana, 2011 .

Logging Data Scientists : Collecting Evidence for Data Science Automation

J. Hernández-Orallo, C. Ferri, Fernando Martínez-Plumed, 2016 .

Data Mining and Decision Support: Aspects of Integration and Collaboration

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

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.

Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model

J. Hernández-Orallo, C. Ferri, J. A. Telle, 2022, IJCAI.

A Probabilistic Framework for Non-Cheating Machine Teaching ∗

J. Hernández-Orallo, C. Ferri, J. A. Telle, 2022 .

Reject Before You Run: Small Assessors Anticipate Big Language Models

J. Hernández-Orallo, C. Ferri, Fernando Martínez-Plumed, 2022, EBeM@IJCAI.

Muppets: Multipurpose Table Segmentation

Luc De Raedt, José Hernández-Orallo, Lidia Contreras Ochando, 2021, IDA.

Robustness Testing of Machine Learning Families using Instance-Level IRT-Difficulty

C. Ferri, Fernando Martínez-Plumed, M. J. Ramírez-Quintana, 2022, EBeM@IJCAI.

Aggregative quantification for regression

J. Hernández-Orallo, C. Ferri, M. J. Ramírez-Quintana, 2014, Data Mining and Knowledge Discovery.

Can language models automate data wrangling?

J. Hernández-Orallo, C. Ferri, Fernando Martínez-Plumed, 2022, Machine Learning.

Semi-Supervised Clustering Algorithms for Grouping Scientific Articles

César Ferri, Diego Vallejo-Huanga, Paulina Morillo, 2017, ICCS.

Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques

José Hernández-Orallo, Fernando Martínez-Plumed, M. José Ramírez-Quintana, 2020, ECAI.

Volume under the ROC Surface for Multi-class Problems

José Hernández-Orallo, César Ferri, Miguel A. Salido, 2003, ECML.

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2006, Inteligencia Artif..

Quality of life and functional outcomes with tapentadol prolonged release in chronic musculoskeletal pain: post hoc analysis.

C. Ferri, G. Thömmes, S. Natoli, 2020, Pain management.

Learning alternative ways of performing a task

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

Specialised Tools for Automating Data Mining for Hospital Management

José Hernández-Orallo, María José Ramírez-Quintana, J. Alapont, 2006 .

An experimental comparison of performance measures for classification

José Hernández-Orallo, César Ferri, R. Modroiu, 2009, Pattern Recognit. Lett..

Forgetting and consolidation for incremental and cumulative knowledge acquisition systems pdf

José Hernández-Orallo, César Ferri, Fernando Martínez-Plumed, 2015, ArXiv.

Adapting Hierarchical Multiclass Classification to Changes in the Target Concept

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

Quantification via Probability Estimators

José Hernández-Orallo, César Ferri, Antonio Bella, 2010, 2010 IEEE International Conference on Data Mining.

From Ensemble Methods to Comprehensible Models

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2002, Discovery Science.

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.

A computational analysis of general intelligence tests for evaluating cognitive development

José Hernández-Orallo, César Ferri, Fernando Martínez-Plumed, 2017, Cognitive Systems Research.

On the definition of a general learning system with user-defined operators pdf

José Hernández-Orallo, César Ferri, Fernando Martínez-Plumed, 2013, ArXiv.

Delegating classifiers

Peter A. Flach, José Hernández-Orallo, César Ferri, 2004, ICML.

Identifying dominant models when the noise context is known

José Hernández-Orallo, Cèsar Ferri, J. Hernández-Orallo, 2014 .

The teaching size: computable teachers and learners for universal languages

J. Hernández-Orallo, C. Ferri, J. A. Telle, 2019, Machine Learning.

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.

Knowledge acquisition with forgetting: an incremental and developmental setting

José Hernández-Orallo, César Ferri, Fernando Martínez-Plumed, 2015, Adapt. Behav..

Learning functional logic classification concepts from databases

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2000, WFLP.

A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance

Peter A. Flach, José Hernández-Orallo, César Ferri, 2011, ICML.

Hierarchical Distance-Based Conceptual Clustering

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2008, ECML/PKDD.

Simple Mimetic Classifiers

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2003, MLDM.

Beam Search Extraction and Forgetting Strategies on Shared Ensembles

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2003, Multiple Classifier Systems.

Using negotiable features for prescription problems

José Hernández-Orallo, César Ferri, Antonio Bella, 2011, Computing.

AUTOMAT[R]IX: learning simple matrix pipelines

José Hernández-Orallo, Lidia Contreras-Ochando, Cèsar Ferri, 2021, Mach. Learn..

Missing the missing values: The ugly duckling of fairness in machine learning

José Hernández-Orallo, Fernando Martínez-Plumed, Cèsar Ferri, 2021, Int. J. Intell. Syst..

A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss C` Esar Ferri

Peter A. Flach, José Hernández-Orallo, César Ferri, 2012 .

Cycling Network Projects: A Decision-Making Aid Approach

Lidia Contreras Ochando, César Ferri, Fernando Martínez-Plumed, 2016, SoGood@ECML-PKDD.

ROC curves in cost space

Peter A. Flach, José Hernández-Orallo, César Ferri, 2013, Machine Learning.

Calibration of Machine Learning Models

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

On the effect of calibration in classifier combination

José Hernández-Orallo, César Ferri, Antonio Bella, 2013, Applied Intelligence.

Threshold Choice Methods: the Missing Link pdf

Peter A. Flach, José Hernández-Orallo, César Ferri, 2011, ArXiv.

José Hernández-Orallo, César Ferri, Antonio Bella, 2009, IDEAL.

Learning Decision Trees Using the Area Under the ROC Curve

Peter A. Flach, José Hernández-Orallo, César Ferri, 2002, ICML.

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

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

Decision Support for Data Mining

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

Wind-sensitive Interpolation of Urban Air Pollution Forecasts

Lidia Contreras Ochando, César Ferri, C. Ferri, 2016, ICCS.

Fairness and Missing Values pdf

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

ADoCS: Automatic Designer of Conference Schedules

C. Ferri, Diego Vallejo-Huanga, Paulina Adriana Morillo Alcívar, 2017, EACL.

Improving the AUC of Probabilistic Estimation Trees

Peter A. Flach, José Hernández-Orallo, César Ferri, 2003, ECML.

A dataset of attributes from papers of a machine learning conference

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

airVLC: An Application for Visualizing Wind-Sensitive Interpolation of Urban Air Pollution Forecasts

Lidia Contreras Ochando, César Ferri, C. Ferri, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Airvlc: An Application for Real-Time Forecasting Urban Air Pollution

Lidia Contreras Ochando, César Ferri, Cristina I. Font Julián, 2015, MUD@ICML.

Modelling Machine Learning Models

José Hernández-Orallo, Fernando Martínez-Plumed, M. José Ramírez-Quintana, 2017, PT-AI.

BRIDGING THE GAP BETWEEN DISTANCE AND GENERALIZATION

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2014, Comput. Intell..

An Integrated Distance for Atoms

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2010, FLOPS.

Setting decision thresholds when operating conditions are uncertain

Peter A. Flach, J. Hernández-Orallo, C. Ferri, 2019, Data Mining and Knowledge Discovery.

Distance Based Generalisation

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2005, ILP.

Bagging Decision Multi-trees

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2004, Multiple Classifier Systems.

Probabilistic class hierarchies for multiclass classification

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

Improving Performance of Multiclass Classification by Inducing Class Hierarchies

César Ferri, María José Ramírez-Quintana, Daniel Silva-Palacios, 2017, ICCS.

Identifying the Sport Activity of GPS Tracks

Cèsar Ferri, C. Ferri, 2016 .

An adaptive probabilistic classification method for dynamic class hierarchies

C. Ferri, M. J. Ramírez-Quintana, A. Mart́ınez-Usó, 2015 .

A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss C` Esar Ferri

Peter A. Flach, J. Hernández-Orallo, C. Ferri, 2012 .

Brier Curves: a New Cost-Based Visualisation of Classifier Performance

Peter A. Flach, José Hernández-Orallo, César Ferri, 2011, ICML.

Modifying ROC Curves to Incorporate Predicted Probabilities

Peter A. Flach, José Hernández-Orallo, Cèsar Ferri, 2005 .

Binarised regression tasks: methods and evaluation metrics

Adolfo Martínez Usó, José Hernández-Orallo, Nicolas Lachiche, 2016, Data Mining and Knowledge Discovery.

A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems

José Hernández-Orallo, César Ferri, Fernando Martínez-Plumed, 2014, 2014 13th International Conference on Machine Learning and Applications.

Bike Rental and Weather Data across Dozens of Cities

César Ferri, Meelis Kull, C. Ferri, 2015 .

Aprendizaje Automatico de Programas Logico-Funcionales

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2000, Inteligencia Artif..

Multi-paradigm learning of declarative models: Thesis

Cèsar Ferri, C. Ferri, 2004 .

Shared Ensemble Learning Using Multi-trees

José Hernández-Orallo, César Ferri, M. José Ramírez-Quintana, 2002, IBERAMIA.

Multi-paradigm learning of declarative models

César Ferri, C. Ferri, 2004, AI Commun..

Long-Term Effectiveness and Tolerability of Pain Treatment with Tapentadol Prolonged Release.

C. Ferri, A. Escobar, L. M. T. Morera, 2020, Pain physician.

Robustness Testing of Machine Learning Families using Instance-Level IRT-Difficulty

C. Ferri, Fernando Martínez-Plumed, M. J. Ramírez-Quintana, 2022, EBeM@IJCAI.