Cèsar Ferri

Orcid: 0000-0002-8975-1120

Affiliations:
  • Polytechnic University of Valencia, Spain


According to our database1, Cèsar Ferri authored at least 97 papers between 1999 and 2024.

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Bibliography

2024
When Redundancy Matters: Machine Teaching of Representations.
CoRR, 2024

2023
A historical perspective of biomedical explainable AI research.
Patterns, September, 2023

Can language models automate data wrangling?
Mach. Learn., June, 2023

Predictable Artificial Intelligence.
CoRR, 2023

XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022
Reject Before You Run: Small Assessors Anticipate Big Language Models.
Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Robustness Testing of Machine Learning Families using Instance-Level IRT-Difficulty.
Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Teaching and Explanation: Aligning Priors between Machines and Humans.
Proceedings of the Human-Like Machine Intelligence., 2022

2021
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories.
IEEE Trans. Knowl. Data Eng., 2021

AUTOMAT[R]IX: learning simple matrix pipelines.
Mach. Learn., 2021

Missing the missing values: The ugly duckling of fairness in machine learning.
Int. J. Intell. Syst., 2021

Think Big, Teach Small: Do Language Models Distil Occam's Razor?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Muppets: Multipurpose Table Segmentation.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020
Learning alternative ways of performing a task.
Expert Syst. Appl., 2020

Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
The teaching size: computable teachers and learners for universal languages.
Mach. Learn., 2019

Setting decision thresholds when operating conditions are uncertain.
Data Min. Knowl. Discov., 2019

Fairness and Missing Values.
CoRR, 2019

BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Automating Common Data Science Matrix Transformations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Probabilistic class hierarchies for multiclass classification.
J. Comput. Sci., 2018

General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation.
CoRR, 2018

SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Adapting Hierarchical Multiclass Classification to Changes in the Target Concept.
Proceedings of the Advances in Artificial Intelligence, 2018

Identifying the Machine Learning Family from Black-Box Models.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
CASP-DM: Context Aware Standard Process for Data Mining.
CoRR, 2017

A computational analysis of general intelligence tests for evaluating cognitive development.
Cogn. Syst. Res., 2017

Modelling Machine Learning Models.
Proceedings of the Philosophy and Theory of Artificial Intelligence 2017, 2017

Low-level Event Detection System for Minimally-Invasive Surgery Training.
Proceedings of the 4th international Workshop on Sensor-based Activity Recognition and Interaction, 2017

Semi-Supervised Clustering Algorithms for Grouping Scientific Articles.
Proceedings of the International Conference on Computational Science, 2017

Improving Performance of Multiclass Classification by Inducing Class Hierarchies.
Proceedings of the International Conference on Computational Science, 2017

ADoCS: Automatic Designer of Conference Schedules.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Zipf's and Benford's laws in Twitter hashtags.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Binarised regression tasks: methods and evaluation metrics.
Data Min. Knowl. Discov., 2016

Cycling Network Projects: A Decision-Making Aid Approach.
Proceedings of the First Workshop on Data Science for Social Good co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Dicovery in Databases, 2016

airVLC: An Application for Visualizing Wind-Sensitive Interpolation of Urban Air Pollution Forecasts.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Identifying the Sport Activity of GPS Tracks.
Proceedings of the International Conference on Computational Science 2016, 2016

Wind-sensitive Interpolation of Urban Air Pollution Forecasts.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014).
SIGKDD Explor., 2015

Forgetting and consolidation for incremental and cumulative knowledge acquisition systems.
CoRR, 2015

Knowledge acquisition with forgetting: an incremental and developmental setting.
Adapt. Behav., 2015

Airvlc: An Application for Real-Time Forecasting Urban Air Pollution.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

2014
Aggregative quantification for regression.
Data Min. Knowl. Discov., 2014

Bridging the Gap between Distance and Generalization.
Comput. Intell., 2014

A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013
ROC curves in cost space.
Mach. Learn., 2013

On the definition of a general learning system with user-defined operators.
CoRR, 2013

On the effect of calibration in classifier combination.
Appl. Intell., 2013

2012
A unified view of performance metrics: translating threshold choice into expected classification loss.
J. Mach. Learn. Res., 2012

Learning with Configurable Operators and RL-Based Heuristics.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

2011
Threshold Choice Methods: the Missing Link
CoRR, 2011

Technical Note: Towards ROC Curves in Cost Space
CoRR, 2011

Using negotiable features for prescription problems.
Computing, 2011

Brier Curves: a New Cost-Based Visualisation of Classifier Performance.
Proceedings of the 28th International Conference on Machine Learning, 2011

A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance.
Proceedings of the 28th International Conference on Machine Learning, 2011

Applying distances between terms to both flat and hierarchical data.
Proceedings of AAIP 2011, 2011

2010
Data Mining Strategies for CRM Negotiation Prescription Problems.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Quantification via Probability Estimators.
Proceedings of the ICDM 2010, 2010

An Integrated Distance for Atoms.
Proceedings of the Functional and Logic Programming, 10th International Symposium, 2010

Newton Trees.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
An experimental comparison of performance measures for classification.
Pattern Recognit. Lett., 2009

An Instantiation of Hierarchical Distance-Based Conceptual Clustering for Propositional Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Similarity-Binning Averaging: A Generalisation of Binning Calibration.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Negotiation with Price-dependent Probability Models.
Proceedings of the Second Workshop on Agreement Technologies, 2009

Generalisation Operators for Lists Embedded in a Metric Space.
Proceedings of the Approaches and Applications of Inductive Programming, 2009

2008
Hierarchical Distance-Based Conceptual Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007
Joint Cutoff Probabilistic Estimation Using Simulation: A Mailing Campaign Application.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

An Improved Model Selection Heuristic for AUC.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Similarity Functions for Structured Data. An Application to Decision Trees.
Inteligencia Artif., 2006

Minimal Distance-Based Generalisation Operators for First-Order Objects.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

2005
Web Categorisation Using Distance-Based Decision Trees.
Proceedings of the International Workshop on Automated Specification and Verification of Web Sites, 2005

Distance Based Generalisation.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

2004
The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004).
SIGKDD Explor., 2004

Multi-paradigm learning of declarative models.
AI Commun., 2004

Cautious Classifiers.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

Bagging Decision Multi-trees.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Delegating classifiers.
Proceedings of the Machine Learning, 2004

2003
Cost-sensitive diagnosis of declarative programs.
Proceedings of the 12th International Workshop on Functional and Constraint Logic Programming, 2003

Simple Mimetic Classifiers.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

Beam Search Extraction and Forgetting Strategies on Shared Ensembles.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Volume under the ROC Surface for Multi-class Problems.
Proceedings of the Machine Learning: ECML 2003, 2003

Improving the AUC of Probabilistic Estimation Trees.
Proceedings of the Machine Learning: ECML 2003, 2003

2002
SMILES: A Multi-purpose Learning System.
Proceedings of the Logics in Artificial Intelligence, European Conference, 2002

Learning Decision Trees Using the Area Under the ROC Curve.
Proceedings of the Machine Learning, 2002

Induction of Decision Multi-trees Using Levin Search.
Proceedings of the Computational Science - ICCS 2002, 2002

Shared Ensemble Learning Using Multi-trees.
Proceedings of the Advances in Artificial Intelligence, 2002

From Ensemble Methods to Comprehensible Models.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
Incremental Learning of Functional Logic Programs.
Proceedings of the Functional and Logic Programming, 5th International Symposium, 2001

AND/OR trees for the learning of functional logic programs.
Proceedings of the APPIA-GULP-PRODE 2001: Joint Conference on Declarative Programming, 2001

2000
Aprendizaje Automatico de Programas Logico-Funcionales.
Inteligencia Artif., 2000

Learning functional logic classification concepts from databases.
Proceedings of the 9th International Workshop on Functional and Logic Programming, 2000

List-Processing Optimizations in a Multi-Paradigm Declarative Language.
Proceedings of the 9th International Workshop on Functional and Logic Programming, 2000

Universal Learning of Classes from Sparse and Non-uniform Evidence.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Improving Functional Logic Programs by Difference-Lists.
Proceedings of the Advances in Computing Science, 2000

1999
Un Sistema de Transformación para Programas Multiparadigma.
Inteligencia Artif., 1999


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