María José Ramírez-Quintana

Orcid: 0000-0002-0559-3568

Affiliations:
  • Polytechnic University of Valencia, Spain


According to our database1, María José Ramírez-Quintana authored at least 66 papers between 1992 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

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

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

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

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

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

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

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

Pentaho + R: An Integral View for Multidimensional Prediction Models.
Proceedings of the Advances in Artificial Intelligence, 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
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
Learning with Configurable Operators and RL-Based Heuristics.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

2011
Using negotiable features for prescription problems.
Computing, 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 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

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

The Mimetic Technique when the Original Data is Not Available: Model Learning and Revision.
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

Knowledge acquisition through machine learning: minimising expert's effort.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

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

Analysing the Trade-Off Between Comprehensibility and Accuracy in Mimetic Models.
Proceedings of the Discovery Science, 7th International Conference, 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

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

The role of induction in (semi-)automated software life-cycles.
Proceedings of the 9th International Workshop on Functional and Logic Programming, 2000

Learning functional logic classification concepts from databases.
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

Software as Learning: Quality Factors and Life-Cycle Revised.
Proceedings of the Fundamental Approaches to Software Engineering, 2000

1999
A Strong Complete Schmema for Inductive Functional Logic Programming.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1998
Inverse Narrowing for the Induction of Functional Logic Programs.
Proceedings of the 1998 Joint Conference on Declarative Programming, 1998

1993
A Prototype System for Equational Constructive Negation.
Proceedings of the Logic Programming, 1993

An Implementation of Equational Constructive Negation.
Proceedings of the 8th Italian Conference on Logic Programming, 1993

1992
Conditional Narrowing with Constructive Negation.
Proceedings of the Extensions of Logic Programming, Third International Workshop, 1992

An Equational Constraint Logic Approach to Database Design.
Proceedings of the International Conference on Database and Expert Systems Applications, 1992


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