Karina Gibert

Orcid: 0000-0002-8542-3509

According to our database1, Karina Gibert authored at least 88 papers between 1995 and 2023.

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

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2023
Preprocessing and Artificial Intelligence for Increasing Explainability in Mental Health.
Int. J. Artif. Intell. Tools, March, 2023

Clustering of Qualitative Time Series for 3D Printing Quality Management.
Proceedings of the Artificial Intelligence Research and Development, 2023

A General Model for the Metainformation of Complex Questionnaires for Automatic Preprocessing and Reporting Under INSESS Methodology.
Proceedings of the Artificial Intelligence Research and Development, 2023

2022
A self-organizing world: special issue of the 13th edition of the workshop on self-organizing maps and learning vector quantization, clustering and data visualization, WSOM + 2019.
Neural Comput. Appl., 2022

Automatic identification of the number of clusters in hierarchical clustering.
Neural Comput. Appl., 2022

Bootstrap-CURE Clustering: An Investigation of Impact of Shrinking on Clustering Performance.
Proceedings of the Artificial Intelligence Research and Development, 2022

2021
Distribution-Based Entropy Weighting Clustering of Skewed and Heavy Tailed Time Series.
Symmetry, 2021

Special issue on logics and artificial intelligence.
Log. J. IGPL, 2021

Visual Mining of Industrial Gas Turbines Sensor Data as an Industry 4.0 Application.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Towards Expert-Inspired Automatic Criterion to Cut a Dendrogram for Real-Industrial Applications.
Proceedings of the Artificial Intelligence Research and Development, 2021

A Common Formal Framework for Factorial and Probabilistic Topic Modelling Techniques.
Proceedings of the Artificial Intelligence Research and Development, 2021

2020
Special issue on pattern recognition and cognitive assistants.
Pattern Recognit. Lett., 2020

2019
A data science approach for spatiotemporal modelling of low and resident air pollution in Madrid (Spain): Implications for epidemiological studies.
Comput. Environ. Urban Syst., 2019

Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Combining Data-Driven and Domain Knowledge Components in an Intelligent Assistant to Build Personalized Menus.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

Deployment of territorial structures to reduce gender gap in technology and some real cases in Catalonia.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

Diet4You: A Personal Intelligent Recommender for Diets from a Holistic Perspective.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
Using ontology-based clustering to understand the push and pull factors for British tourists visiting a Mediterranean coastal destination.
Inf. Manag., 2018

Which method to use? An assessment of data mining methods in Environmental Data Science.
Environ. Model. Softw., 2018

Environmental Data Science.
Environ. Model. Softw., 2018

Preface to the thematic issue on Environmental Data Science. Applications to air quality and water cycle.
Environ. Model. Softw., 2018

Preface: Environmental Data Science and Decision Support: Applications in Climate Change and the Ecological Footprint.
Environ. Model. Softw., 2018

Including Hard Restrictions into Diet4You Menu Planner.
Proceedings of the Artificial Intelligence Research and Development, 2018

Web Pattern Navigation Profiling for Online Marketing Campaigns Design Support Under a Data Science Approach.
Proceedings of the Artificial Intelligence Research and Development, 2018

Intelligent Management of Measurement Units Equivalences in Food Databases.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Evaluation of Adherence to Nutritional Intervention Through Trajectory Analysis.
IEEE J. Biomed. Health Informatics, 2017

A methodology to discover and understand complex patterns: Interpreted Integrative Multiview Clustering (I<sup>2</sup>MC).
Pattern Recognit. Lett., 2017

Generating Complete Menus from Nutritional Prescriptions by Using Advanced CBR and Real Food Databases.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2016
The role of significance tests in consistent interpretation of nested partitions.
J. Comput. Appl. Math., 2016

On the understanding of profiles by means of post-processing techniques: an application to financial assets.
Int. J. Comput. Math., 2016

Understanding effects of cognitive rehabilitation under a knowledge discovery approach.
Eng. Appl. Artif. Intell., 2016

A survey on pre-processing techniques: Relevant issues in the context of environmental data mining.
AI Commun., 2016

Special Issue on Environmental Data Mining.
AI Commun., 2016

A Methodology for Maintaining Consistency Between Conceptual Interpretations of Nested Partitions.
Proceedings of the Artificial Intelligence Research and Development, 2016

Using CVI for Understanding Class Topology in Unsupervised Scenarios.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Preface.
AI Commun., 2015

aTLP: A color-based model of uncertainty to evaluate the risk of decisions based on prototypes.
AI Commun., 2015

A First Prototype for Indexing, Visualizing and Mining Heterogeneous Data in Mediterranean Ecology: Within the IndexMed Consortium Interdisciplinary Framework.
Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

Identifying Nutritional Patterns through Integrative Multiview Clustering.
Proceedings of the Artificial Intelligence Research and Development, 2015

2014
Introducing semantic variables in mixed distance measures: Impact on hierarchical clustering.
Knowl. Inf. Syst., 2014

Mixed intelligent-multivariate missing imputation.
Int. J. Comput. Math., 2014

A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients.
Expert Syst. Appl., 2014

Web pattern detection for Business Intelligence with data mining.
Proceedings of the Artificial Intelligence Research and Development, 2014

2013
Post-processing: Bridging the gap between modelling and effective decision-support. The profile assessment grid in human behaviour.
Math. Comput. Model., 2013

Semantic similarity estimation from multiple ontologies.
Appl. Intell., 2013

Post-Processing the Class Panel Graphs: Towards Understandable Patterns from Data.
Proceedings of the Artificial Intelligence Research and Development, 2013

Finding Patterns in Cognitive Rehabilitation.
Proceedings of the Artificial Intelligence Research and Development, 2013

Annotated-Traffic Lights Panel as a Tool to Evaluate the Risk of Decisions Based on Prototypes.
Proceedings of the Artificial Intelligence Research and Development, 2013

2012
Knowledge-driven delivery of home care services.
J. Intell. Inf. Syst., 2012

Decreasing Uncertainty When Interpreting Profiles through the Traffic Lights Panel.
Proceedings of the Advances on Computational Intelligence, 2012

The use of the Traffic Lights Panel as a goodness-of-clustering indicator - An application to Financial Assets.
Proceedings of the Artificial Intelligence Research and Development, 2012

2011
Outcomes from the iEMSs data mining in the environmental sciences workshop series.
Environ. Model. Softw., 2011

Semantic Clustering based on Ontologies - An Application to the Study of Visitors in a Natural Reserve.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

2010
Ontology-driven web-based semantic similarity.
J. Intell. Inf. Syst., 2010

Using ontologies for structuring organizational knowledge in Home Care assistance.
Int. J. Medical Informatics, 2010

Knowledge discovery with clustering based on rules by states: A water treatment application.
Environ. Model. Softw., 2010

Inference of lexical ontologies. The LeOnI methodology.
Artif. Intell., 2010

Exploiting Taxonomical Knowledge to Compute Semantic Similarity: An Evaluation in the Biomedical Domain.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Performance of Ontology-Based Semantic Similarities in Clustering.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Semantic Clustering Using Multiple Ontologies.
Proceedings of the Artificial Intelligence Research and Development, 2010

2009
Knowledge Discovery about Quality of Life Changes of Spinal Cord Injury Patients: Clustering Based on Rules by States.
Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009

The Paradox of the Mitigant Trajectories: Consequences on Interpretation of Dynamical Patterns.
Proceedings of the Artificial Intelligence Research and Development, 2009

Customization of an agent-based medical system.
Proceedings of the Artificial Intelligence Research and Development, 2009

2008
Knowledge Engineering as a support for building an Actor Profile Ontology for Integrating Home-Care Systems.
Proceedings of the eHealth Beyond the Horizon, 2008

Automatic Tailoring of an Actor Profile Ontology.
Proceedings of the Knowledge Management for Health Care Procedures, ECAI 2008 Workshop, 2008

Identification of More Characteristic Dynamic Patterns in a WWTP by ClBR×E.
Proceedings of the Progress in Pattern Recognition, 2008

Knowledge Discovery on the response to neurorehabilitation treatment of patients with Traumatic Brain Injury through an AI&Stats and graphical hybrid methodology.
Proceedings of the Artificial Intelligence Research and Development, 2008

Improving Pseudobagging techniques.
Proceedings of the Artificial Intelligence Research and Development, 2008

2007
Towards Automatic Generation of Conceptual Interpretation of Clustering.
Proceedings of the Progress in Pattern Recognition, 2007

A Knowledge Discovery Methodology for Identifying Vulnerability Factors of Mental Disorder in an Intellectually Disabled Population.
Proceedings of the Artificial Intelligence Research and Development, 2007

Knowledge Discovery in a Wastewater Treatment Plant with Clustering Based on Rules by States.
Proceedings of the Artificial Intelligence Research and Development, 2007

Enlarging a Medical Actor Profile Ontology with New Care Units.
Proceedings of the Knowledge Management for Health Care Procedures, 2007

The Data Abstraction Layer as Knowledge Provider for a Medical Multi-agent System.
Proceedings of the Knowledge Management for Health Care Procedures, 2007

2006
Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables.
Proceedings of the Data Science and Classification, 2006

GESCONDA: An intelligent data analysis system for knowledge discovery and management in environmental databases.
Environ. Model. Softw., 2006

A Comparative Analysis of different classes-interpretation support techniques.
Proceedings of the Artificial Intelligence Research and Development, 2006

2005
Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists.
BMC Bioinform., 2005

Cluster discovery in environmental databases using GESCONDA: The added value of comparisons.
AI Commun., 2005

Knowledge Discovery on Functional Disabilities: Clustering Based on Rules versus other Approaches.
Proceedings of the Connecting Medical Informatics and Bio-Informatics - Proceedings of MIE 2005, 2005

Fuzzy Box-plot based Induction Rules. Towards automatic generation of classes-interpretations.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

2003
Impact of Mixed Metrics on Clustering.
Proceedings of the Progress in Pattern Recognition, 2003

2002
Discourse Marker characterisation via clustering: extrapolation from supervised to unsupervised corpora.
Proces. del Leng. Natural, 2002

KDSM Methodology for Knowledge Discovery from Ill-Structured Domains Presenting Very Short and Repeated Serial Measures with Blocking Factor.
Proceedings of the Topics in Artificial Intelligence, 5th Catalonian Conference on AI, 2002

An Empirical Approach to Discourse Markers by Clustering.
Proceedings of the Topics in Artificial Intelligence, 5th Catalonian Conference on AI, 2002

2001
Knowledge discovery by means of inductive methods in wastewater treatment plannt data.
AI Commun., 2001

Electroshock Effects Identification Using Classification Based on Rules.
Proceedings of the Medical Data Analysis, Second International Symposium, 2001

1998
Knowledge Discovery with Clustering Based on Rules. Interpreting Results.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

1995
L'us de la informació simbòlica en l'automatització del tractament estadístic de dominis poc estructurats.
PhD thesis, 1995


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