Barbara Pes

Orcid: 0000-0003-3983-6844

According to our database1, Barbara Pes authored at least 70 papers between 2003 and 2024.

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

Timeline

Legend:

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Bibliography

2024
A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

2023
An EvaluationAlessandra Perniciano of Feature Selection Robustness on Class Noisy Data.
Inf., 2023

Feature Selection on Imbalanced Domains: A Stability-Based Analysis.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022
Exploiting Feature Selection in Human Activity Recognition: Methodological Insights and Empirical Results Using Mobile Sensor Data.
IEEE Access, 2022

Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis.
IEEE Access, 2022

A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2021
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study.
PeerJ Comput. Sci., 2021

Special Issue on Emerging Trends and Challenges in Supervised Learning Tasks.
Inf., 2021

Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests.
Inf., 2021

Feature Selection in Mobile Activity Recognition: A Comparative Study.
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Towards Context-aware Power Forecasting in Smart-homes.
Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

2020
Ensemble feature selection for high-dimensional data: a stability analysis across multiple domains.
Neural Comput. Appl., 2020

Special issue on "Data Exploration in the Web 3.0 Age".
Future Gener. Comput. Syst., 2020

Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance.
IEEE Access, 2020

2019
Special Issue on Advanced Learning Methods for Complex Data.
Inf., 2019

Handling Class Imbalance in High-Dimensional Biomedical Datasets.
Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

DEW 2019: Data Exploration in the Web 3.0 Age.
Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

Toward Supporting Food Journaling Using Air Quality Data Mining and a Social Robot.
Proceedings of the Ambient Intelligence - 15th European Conference, 2019

2018
Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track.
Proceedings of the 27th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2018

Evaluating Feature Selection Robustness on High-Dimensional Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Data Mining for Detecting Bitcoin Ponzi Schemes.
Proceedings of the Crypto Valley Conference on Blockchain Technology, 2018

2017
Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data.
Inf. Fusion, 2017

Smart Spaces for Adaptive Information Integration in Bioinformatics.
Future Gener. Comput. Syst., 2017

Feature Selection for High-Dimensional Data: The Issue of Stability.
Proceedings of the 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017

Track Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track.
Proceedings of the 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017

An Approach for Discovering and Exploring Semantic Relationships between Genes.
Proceedings of the Workshop on Semantic Web Solutions for Large-scale Biomedical Data Analytics co-located with 14th Extended Semantic Web Conference, 2017

2016
COWB: A cloud-based framework supporting collaborative knowledge management within biomedical communities.
Future Gener. Comput. Syst., 2016

Increasing Open Government Data Transparency with Spatial Dimension.
Proceedings of the 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2016

The Effectiveness of Gene Ontology in Assessing Functionally Coherent Groups of Genes: A Case Study.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

Exploiting Biomedical Web Resources: A Case Study.
Proceedings of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)/Affiliated Workshops, 2016

2015
An Evolutionary Approach for Balancing Effectiveness and Representation Level in Gene Selection.
J. Inf. Technol. Res., 2015

Similarity of feature selection methods: An empirical study across data intensive classification tasks.
Expert Syst. Appl., 2015

Towards Ontology-Enabled BioContexts for Bioinformatics Research.
Proceedings of the 24th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2015

Enabling Secure and Collaborative Document Sharing in BIM Processes.
Proceedings of the Information Sciences and Systems 2015, 2015

Stability in Biomarker Discovery: Does Ensemble Feature Selection Really Help?
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

On Stability of Ensemble Gene Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

2014
Integrating Ontological Information about Genes.
Proceedings of the 2014 IEEE 23rd International WETICE Conference, 2014

Exploring the Relatedness of Gene Sets.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013
Assessing similarity of feature selection techniques in high-dimensional domains.
Pattern Recognit. Lett., 2013

A Fully Semantic Approach to Large Scale Text Categorization.
Proceedings of the Information Sciences and Systems 2013, 2013

BioCloud Search EnGene: Surfing Biological Data on the Cloud.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

Enhancing Random Forests Performance in Microarray Data Classification.
Proceedings of the Artificial Intelligence in Medicine, 2013

2012
Dataspaces Enhancing Decision Support Systems in Clouds.
Int. J. Web Portals, 2012

Web 2.0 Technologies Empowering Spatial Decision Making.
Proceedings of the 21st IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2012

2011
A SOA-Based Environment Supporting Collaborative Experiments in E-Science.
Int. J. Web Portals, 2011

Extending the SOA paradigm to e-Science environments.
Future Gener. Comput. Syst., 2011

A Hybrid Model to Favor the Selection of High Quality Features in High Dimensional Domains.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Knowledge Discovery in Gene Expression Data via Evolutionary Algorithms.
Proceedings of the 2011 Database and Expert Systems Applications, 2011

2010
Tuning Evolutionary Algorithms in High Dimensional Classification Problems (Extended Abstract).
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Will SOA accommodate the next step of e-Science?.
Proceedings of the NOTERE 2010, Annual International Conference on New Technologies of Distributed Systems, Touzeur, Tunisia, May 31, 2010

A Filter-Based Evolutionary Approach for Selecting Features in High-Dimensional Micro-array Data.
Proceedings of the Intelligent Information Processing V, 2010

2009
A Distributed Trust and Reputation Framework for Scientific Grids.
Proceedings of the Third IEEE International Conference on Research Challenges in Information Science, 2009

Towards Scientific Dataspaces.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

A Framework for Multi-class Learning in Micro-array Data Analysis.
Proceedings of the Artificial Intelligence in Medicine, 2009

2008
Open Source Environments for Collaborative Experiments in e-Science.
Proceedings of the Open Source Development, 2008

Cooperative E-Organizations for Distributed Bioinformatics Experiments.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

A Service Based Approach to a New Generation of Intrusion Detection Systems.
Proceedings of the ECOWS 2008, 2008

2007
The Future of Portals in E-Science.
Proceedings of the Encyclopedia of Portal Technologies and Applications (2 Volumes), 2007

A Cost-Sensitive Approach to Feature Selection in Micro-Array Data Classification.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

Capturing Heuristics and Intelligent Methods for Improving Micro-array Data Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006
Data Mining Strategies for Classification of Microarray Data.
Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, 2006

High-Dimensional Micro-array Data Classification Using Minimum Description Length and Domain Expert Knowledge.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

2005
Learning Bayesian Classifiers from Gene-Expression MicroArray Data.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Intelligent Bayesian Classifiers in Network Intrusion Detection.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005

A Framework for the Modular Composition of Learning Objects.
Proceedings of the Cognition and Exploratory Learning in Digital Age, 2005

Applying Enterprise Models to Design Cooperative Scientific Environments.
Proceedings of the Business Process Management Workshops, 2005

2004
Engineering Knowledge Discovery in Network Intrusion Detection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

An Automatic Assessment System Supporting Computer Science Entrance Examinations.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2004

2003
A Data Model for Structuring On-Line Learning Material.
Proceedings of the 2003 IEEE International Conference on Advanced Learning Technologies, 2003


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