Lidia Contreras Ochando

According to our database, Lidia Contreras Ochando authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Enhancing Precision Medicine: An Automatic Pipeline Approach for Exploring Genetic Variant-Disease Literature.

Lidia Contreras Ochando, Pere Marco Garcia, Ana León, Lluís-F. Hurtado, Ferran Pla, Encarna Segarra

Proceedings of the Advances in Conceptual Modeling, 2023

2021

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

Fernando Martínez-Plumed, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana, Peter A. Flach

IEEE Trans. Knowl. Data Eng., 2021

AUTOMAT[R]IX: learning simple matrix pipelines.

Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo

Mach. Learn., 2021

Muppets: Multipurpose Table Segmentation.

Gust Verbruggen, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Luc De Raedt

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2019

BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation.

Lidia Contreras Ochando, César Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge.

Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Automating Common Data Science Matrix Transformations.

Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

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

Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama

CoRR, 2018

2017

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

Fernando Martínez-Plumed, Lidia Contreras Ochando, César Ferri, Peter A. Flach, José Hernández-Orallo, Meelis Kull, Nicolas Lachiche, María José Ramírez-Quintana

CoRR, 2017

2016

Cycling Network Projects: A Decision-Making Aid Approach.

Fernando Martínez-Plumed, César Ferri, Lidia Contreras Ochando

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.

Lidia Contreras Ochando, César Ferri

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Wind-sensitive Interpolation of Urban Air Pollution Forecasts.

Lidia Contreras Ochando, César Ferri

Proceedings of the International Conference on Computational Science 2016, 2016

2015

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

Lidia Contreras Ochando, Cristina I. Font Julián, Francisco Contreras Ochando, Cèsar Ferri Ramirez

Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015