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Karina Gibert
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2020 – today
- 2024
- [c53]Sergi Ramirez-Mitjans
, Huilin Ni, Jofre Moseguí, Javier Puerta, Marcel Vera, Karina Gibert
Pushing the Boundaries of Natural Language Processing (NLP): Enhancing Catalan Text Transcription Through Large-Scale Models in the Educational Field. CCIA 2024: 153-162 - [c52]Ashutosh Karna
From Clustering to Intelligent Decision Support System: An Application to 3D Printing. CCIA 2024: 194-203 - [c51]Xavier Angerri, Oscar Delgado, Karina Gibert
Intelligent Assistant for Multivariant Analysis. CCIA 2024: 315-324 - [c50]Karina Gibert
KDD 2024 Special Day - AI for Environment. KDD 2024: 6695-6696 - 2023
- [j37]Xavier Angerri, Karina Gibert:
Preprocessing and Artificial Intelligence for Increasing Explainability in Mental Health. Int. J. Artif. Intell. Tools 32(2): 2340011:1-2340011:36 (2023) - [c49]Ashutosh Karna
Clustering of Qualitative Time Series for 3D Printing Quality Management. CCIA 2023: 70-79 - [c48]Xavier Angerri, Karina Gibert
A General Model for the Metainformation of Complex Questionnaires for Automatic Preprocessing and Reporting Under INSESS Methodology. CCIA 2023: 211-220 - 2022
- [j36]Alfredo Vellido
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. 34(1): 1-3 (2022) - [j35]Ashutosh Karna
Automatic identification of the number of clusters in hierarchical clustering. Neural Comput. Appl. 34(1): 119-134 (2022) - [c47]Ashutosh Karna, Karina Gibert:
Bootstrap-CURE Clustering: An Investigation of Impact of Shrinking on Clustering Performance. CCIA 2022: 172-180 - 2021
- [j34]Zoe Falomir, Vicent Costa
Special issue on logics and artificial intelligence. Log. J. IGPL 29(1): 1-6 (2021) - [j33]Raffaele Mattera
Distribution-Based Entropy Weighting Clustering of Skewed and Heavy Tailed Time Series. Symmetry 13(6): 959 (2021) - [c46]Karina Gibert, Yaroslav Hernandez-Potiomkin:
A Common Formal Framework for Factorial and Probabilistic Topic Modelling Techniques. CCIA 2021: 136-145 - [c45]Shikha Suman, Ashutosh Karna, Karina Gibert:
Towards Expert-Inspired Automatic Criterion to Cut a Dendrogram for Real-Industrial Applications. CCIA 2021: 235-244 - [c44]Angel X. Astudillo Aguilar, Stefano Rosso, Karina Gibert, Alfredo Vellido:
Visual Mining of Industrial Gas Turbines Sensor Data as an Industry 4.0 Application. SOCO 2021: 101-111 - 2020
- [j32]Zoe Falomir, Karina Gibert, Enric Plaza:
Special issue on pattern recognition and cognitive assistants. Pattern Recognit. Lett. 133: 295-297 (2020) - [e3]Alfredo Vellido, Karina Gibert, Cecilio Angulo, José David Martín-Guerrero:
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019. Advances in Intelligent Systems and Computing 976, Springer 2020, ISBN 978-3-030-19641-7 [contents]
2010 – 2019
- 2019
- [j31]Álvaro Gómez-Losada
A data science approach for spatiotemporal modelling of low and resident air pollution in Madrid (Spain): Implications for epidemiological studies. Comput. Environ. Urban Syst. 75: 1-11 (2019) - [c43]Karina Gibert, Beatriz Sevilla Villanueva, Miquel Sànchez-Marrè, Lluis Marquès, Eric Casanova, Montserrat Fito:
Diet4You: A Personal Intelligent Recommender for Diets from a Holistic Perspective. CCIA 2019: 266-274 - [c42]Karina Gibert, Conxi Pérez Andreu, Núria Castell:
Deployment of territorial structures to reduce gender gap in technology and some real cases in Catalonia. ETFA 2019: 1823-1830 - [c41]Miquel Sànchez-Marrè, Karina Gibert, Beatriz Sevilla Villanueva:
Combining Data-Driven and Domain Knowledge Components in an Intelligent Assistant to Build Personalized Menus. IWINAC (2) 2019: 167-179 - [c40]Ashutosh Karna, Karina Gibert:
Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors. WSOM+ 2019: 150-159 - 2018
- [j30]Karina Gibert, Jeffery S. Horsburgh
Preface to the thematic issue on Environmental Data Science. Applications to air quality and water cycle. Environ. Model. Softw. 106: 1-3 (2018) - [j29]Karina Gibert, Jeffery S. Horsburgh
Environmental Data Science. Environ. Model. Softw. 106: 4-12 (2018) - [j28]Karina Gibert:
Preface: Environmental Data Science and Decision Support: Applications in Climate Change and the Ecological Footprint. Environ. Model. Softw. 110: 1-2 (2018) - [j27]Karina Gibert, Joaquín Izquierdo
Which method to use? An assessment of data mining methods in Environmental Data Science. Environ. Model. Softw. 110: 3-27 (2018) - [j26]Aïda Valls, Karina Gibert, Alicia Orellana, Salvador Anton Clavé:
Using ontology-based clustering to understand the push and pull factors for British tourists visiting a Mediterranean coastal destination. Inf. Manag. 55(2): 145-159 (2018) - [c39]Beatriz Sevilla Villanueva, Karina Gibert, Miquel Sànchez-Marrè:
Intelligent Management of Measurement Units Equivalences in Food Databases. CAEPIA 2018: 296-306 - [c38]Arturo Palomino, Karina Gibert:
Web Pattern Navigation Profiling for Online Marketing Campaigns Design Support Under a Data Science Approach. CCIA 2018: 166-175 - [c37]Beatriz Sevilla Villanueva, Karina Gibert, Miquel Sànchez-Marrè:
Including Hard Restrictions into Diet4You Menu Planner. CCIA 2018: 190-199 - [e2]Zoe Falomir, Karina Gibert, Enric Plaza:
Artificial Intelligence Research and Development - Current Challenges, New Trends and Applications, CCIA 2018, 21st International Conference of the Catalan Association for Artificial Intelligence, Alt Empordà, Catalonia, Spain, 8-10th October 2018. Frontiers in Artificial Intelligence and Applications 308, IOS Press 2018, ISBN 978-1-61499-917-1 [contents] - 2017
- [j25]Beatriz Sevilla Villanueva, Karina Gibert
A methodology to discover and understand complex patterns: Interpreted Integrative Multiview Clustering (I2MC). Pattern Recognit. Lett. 93: 85-94 (2017) - [j24]Beatriz Sevilla Villanueva, Karina Gibert
Evaluation of Adherence to Nutritional Intervention Through Trajectory Analysis. IEEE J. Biomed. Health Informatics 21(3): 628-634 (2017) - [c36]Beatriz Sevilla Villanueva, Karina Gibert, Miquel Sànchez-Marrè:
Generating Complete Menus from Nutritional Prescriptions by Using Advanced CBR and Real Food Databases. CCIA 2017: 166-175 - 2016
- [j23]Karina Gibert
Special Issue on Environmental Data Mining. AI Commun. 29(6): 621-625 (2016) - [j22]Karina Gibert
A survey on pre-processing techniques: Relevant issues in the context of environmental data mining. AI Commun. 29(6): 627-663 (2016) - [j21]Alejandro García-Rudolph, Karina Gibert
Understanding effects of cognitive rehabilitation under a knowledge discovery approach. Eng. Appl. Artif. Intell. 55: 165-185 (2016) - [j20]Karina Gibert
On the understanding of profiles by means of post-processing techniques: an application to financial assets. Int. J. Comput. Math. 93(5): 807-820 (2016) - [j19]Karina Gibert
The role of significance tests in consistent interpretation of nested partitions. J. Comput. Appl. Math. 292: 623-633 (2016) - [c35]Beatriz Sevilla Villanueva, Karina Gibert
Using CVI for Understanding Class Topology in Unsupervised Scenarios. CAEPIA 2016: 135-149 - [c34]Beatriz Sevilla Villanueva, Karina Gibert
A Methodology for Maintaining Consistency Between Conceptual Interpretations of Nested Partitions. CCIA 2016: 147-156 - 2015
- [j18]Karina Gibert
Preface. AI Commun. 28(1): 1-3 (2015) - [j17]Karina Gibert
aTLP: A color-based model of uncertainty to evaluate the risk of decisions based on prototypes. AI Commun. 28(1): 113-126 (2015) - [c33]Beatriz Sevilla Villanueva, Karina Gibert
Identifying Nutritional Patterns through Integrative Multiview Clustering. CCIA 2015: 185-194 - [c32]Romain David
A First Prototype for Indexing, Visualizing and Mining Heterogeneous Data in Mediterranean Ecology: Within the IndexMed Consortium Interdisciplinary Framework. SITIS 2015: 232-239 - 2014
- [j16]Alejandro García-Rudolph, Karina Gibert
A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients. Expert Syst. Appl. 41(11): 5238-5251 (2014) - [j15]Karina Gibert
Mixed intelligent-multivariate missing imputation. Int. J. Comput. Math. 91(1): 85-96 (2014) - [j14]Karina Gibert
Introducing semantic variables in mixed distance measures: Impact on hierarchical clustering. Knowl. Inf. Syst. 40(3): 559-593 (2014) - [c31]Arturo Palomino, Karina Gibert
Web pattern detection for Business Intelligence with data mining. CCIA 2014: 277-280 - 2013
- [j13]Montserrat Batet
Semantic similarity estimation from multiple ontologies. Appl. Intell. 38(1): 29-44 (2013) - [j12]Karina Gibert
Post-processing: Bridging the gap between modelling and effective decision-support. The profile assessment grid in human behaviour. Math. Comput. Model. 57(7-8): 1633-1639 (2013) - [c30]Alejandro García-Rudolph, Karina Gibert
Finding Patterns in Cognitive Rehabilitation. CCIA 2013: 193-202 - [c29]Beatriz Sevilla Villanueva, Karina Gibert
Post-Processing the Class Panel Graphs: Towards Understandable Patterns from Data. CCIA 2013: 215-224 - [c28]Dante Conti
Annotated-Traffic Lights Panel as a Tool to Evaluate the Risk of Decisions Based on Prototypes. CCIA 2013: 245-248 - [e1]Karina Gibert, Vicent J. Botti, Ramón Reig Bolaño:
Artificial Intelligence Research and Development - Proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence, Vic, Catalonia, Spain, October 23-25, 2013. Frontiers in Artificial Intelligence and Applications 256, IOS Press 2013, ISBN 978-1-61499-319-3 [contents] - 2012
- [j11]Montserrat Batet
Knowledge-driven delivery of home care services. J. Intell. Inf. Syst. 38(1): 95-130 (2012) - [c27]Dante Conti
The use of the Traffic Lights Panel as a goodness-of-clustering indicator - An application to Financial Assets. CCIA 2012: 19-28 - [c26]Karina Gibert
Decreasing Uncertainty When Interpreting Profiles through the Traffic Lights Panel. IPMU (2) 2012: 137-148 - 2011
- [j10]Karina Gibert
Outcomes from the iEMSs data mining in the environmental sciences workshop series. Environ. Model. Softw. 26(7): 983-985 (2011) - [c25]Montserrat Batet, Aïda Valls, Karina Gibert:
Semantic Clustering based on Ontologies - An Application to the Study of Visitors in a Natural Reserve. ICAART (1) 2011: 283-289 - 2010
- [j9]Javier Farreres, Karina Gibert
Inference of lexical ontologies. The LeOnI methodology. Artif. Intell. 174(1): 1-19 (2010) - [j8]Karina Gibert
Knowledge discovery with clustering based on rules by states: A water treatment application. Environ. Model. Softw. 25(6): 712-723 (2010) - [j7]Aïda Valls
Using ontologies for structuring organizational knowledge in Home Care assistance. Int. J. Medical Informatics 79(5): 370-387 (2010) - [j6]David Sánchez
Ontology-driven web-based semantic similarity. J. Intell. Inf. Syst. 35(3): 383-413 (2010) - [c24]Montserrat Batet
Semantic Clustering Using Multiple Ontologies. CCIA 2010: 207-216 - [c23]Montserrat Batet
Performance of Ontology-Based Semantic Similarities in Clustering. ICAISC (1) 2010: 281-288 - [c22]Montserrat Batet
Exploiting Taxonomical Knowledge to Compute Semantic Similarity: An Evaluation in the Biomedical Domain. IEA/AIE (1) 2010: 274-283
2000 – 2009
- 2009
- [c21]Gustavo Rodríguez Silva, Karina Gibert
The Paradox of the Mitigant Trajectories: Consequences on Interpretation of Dynamical Patterns. CCIA 2009: 103-111 - [c20]Montserrat Batet
Customization of an agent-based medical system. CCIA 2009: 242-251 - [c19]Karina Gibert
Knowledge Discovery about Quality of Life Changes of Spinal Cord Injury Patients: Clustering Based on Rules by States. MIE 2009: 579-583 - 2008
- [c18]Angela Chieppa, Karina Gibert
Improving Pseudobagging techniques. CCIA 2008: 161-169 - [c17]Karina Gibert
Knowledge Discovery on the response to neurorehabilitation treatment of patients with Traumatic Brain Injury through an AI&Stats and graphical hybrid methodology. CCIA 2008: 170-177 - [c16]Karina Gibert
Identification of More Characteristic Dynamic Patterns in a WWTP by ClBR×E. CIARP 2008: 372-380 - [c15]Montserrat Batet
Automatic Tailoring of an Actor Profile Ontology. K4HelP 2008: 104-122 - [c14]Karina Gibert, Aïda Valls, David Riaño:
Knowledge Engineering as a support for building an Actor Profile Ontology for Integrating Home-Care Systems. MIE 2008: 95-100 - 2007
- [c13]Montserrat Batet
The Data Abstraction Layer as Knowledge Provider for a Medical Multi-agent System. K4CARE 2007: 87-100 - [c12]Karina Gibert
Enlarging a Medical Actor Profile Ontology with New Care Units. K4CARE 2007: 101-116 - [c11]Karina Gibert, Gustavo Rodríguez Silva:
Knowledge Discovery in a Wastewater Treatment Plant with Clustering Based on Rules by States. CCIA 2007: 359-367 - [c10]Xavier Lluis Martorell, Raimon Massanet Vila, Karina Gibert, Miquel Sànchez-Marrè, Juan Carlos Martín, Almudena Martorell:
A Knowledge Discovery Methodology for Identifying Vulnerability Factors of Mental Disorder in an Intellectually Disabled Population. CCIA 2007: 426-435 - [c9]Alejandra Pérez-Bonilla, Karina Gibert
Towards Automatic Generation of Conceptual Interpretation of Clustering. CIARP 2007: 653-663 - 2006
- [j5]Karina Gibert
GESCONDA: An intelligent data analysis system for knowledge discovery and management in environmental databases. Environ. Model. Softw. 21(1): 115-120 (2006) - [c8]Karina Gibert, Alejandra Pérez-Bonilla, Gustavo Rodríguez Silva:
A Comparative Analysis of different classes-interpretation support techniques. CCIA 2006: 37-46 - [p1]Karina Gibert, Alejandra Pérez-Bonilla:
Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables. Data Science and Classification 2006: 229-237 - 2005
- [j4]Karina Gibert, Miquel Sànchez-Marrè, Xavier Flores:
Cluster discovery in environmental databases using GESCONDA: The added value of comparisons. AI Commun. 18(4): 319-331 (2005) - [j3]Marco Masseroli, Osvaldo Galati, Mauro Manzotti, Karina Gibert
Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists. BMC Bioinform. 6(S-4) (2005) - [c7]Karina Gibert, Alejandra Pérez-Bonilla:
Fuzzy Box-plot based Induction Rules. Towards automatic generation of classes-interpretations. EUSFLAT Conf. 2005: 524-529 - [c6]Karina Gibert, Roberta Annicchiarico, Ulises Cortés, Carlo Caltagirone:
Knowledge Discovery on Functional Disabilities: Clustering Based on Rules versus other Approaches. MIE 2005: 163-168 - 2003
- [c5]Karina Gibert
Impact of Mixed Metrics on Clustering. CIARP 2003: 464-471 - 2002
- [j2]Laura Alonso Alemany
Discourse Marker characterisation via clustering: extrapolation from supervised to unsupervised corpora. Proces. del Leng. Natural 29 (2002) - [c4]Laura Alonso Alemany, Irene Castellón, Karina Gibert, Lluís Padró:
An Empirical Approach to Discourse Markers by Clustering. CCIA 2002: 173-183 - [c3]Jorge Rodas Osollo
KDSM Methodology for Knowledge Discovery from Ill-Structured Domains Presenting Very Short and Repeated Serial Measures with Blocking Factor. CCIA 2002: 228-238 - 2001
- [j1]Joaquim Comas, Saso Dzeroski, Karina Gibert, Ignasi R.-Roda, Miquel Sànchez-Marrè:
Knowledge discovery by means of inductive methods in wastewater treatment plannt data. AI Commun. 14(1): 45-62 (2001) - [c2]Jorge Rodas Osollo
Electroshock Effects Identification Using Classification Based on Rules. ISMDA 2001: 238-244
1990 – 1999
- 1998
- [c1]Karina Gibert, Tomàs Aluja-Banet, Ulises Cortés:
Knowledge Discovery with Clustering Based on Rules. Interpreting Results. PKDD 1998: 83-92 - 1995
- [b1]Karina Gibert:
L'us de la informació simbòlica en l'automatització del tractament estadístic de dominis poc estructurats. Polytechnic University of Catalonia, Spain, 1995
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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