A Data Model for Structuring On-Line Learning Material. - Nicoletta Dessì; Barbara Pes (ICALT, 2003)

An Automatic Assessment System Supporting Computer Science Entrance Examinations. - Francesco Aymerich; Nicoletta Dessì; Barbara Pes; Andrea Saba (ICALT, 2004)

Engineering Knowledge Discovery in Network Intrusion Detection. - Andrea Bosin; Nicoletta Dessì; Barbara Pes (IDEAL, 2004)

Applying Enterprise Models to Design Cooperative Scientific Environments. - Andrea Bosin; Nicoletta Dessì; Maria Grazia Fugini; Diego Liberati; Barbara Pes (Business Process Management Workshops, 2005)

A Framework for the Modular Composition of Learning Objects. - Nicoletta Dessì; Barbara Pes (CELDA, 2005)

Intelligent Bayesian Classifiers in Network Intrusion Detection. - Andrea Bosin; Nicoletta Dessì; Barbara Pes (IEA/AIE, 2005)

Learning Bayesian Classifiers from Gene-Expression MicroArray Data. - Andrea Bosin; Nicoletta Dessì; Diego Liberati; Barbara Pes (WILF, 2005)

High-Dimensional Micro-array Data Classification Using Minimum Description Length and Domain Expert Knowledge. - Andrea Bosin; Nicoletta Dessì; Barbara Pes (IEA/AIE, 2006)

Data Mining Strategies for Classification of Microarray Data. - Andrea Bosin; Nicoletta Dessì; Barbara Pes (SEBD, 2006)

Capturing Heuristics and Intelligent Methods for Improving Micro-array Data Classification. - Andrea Bosin; Nicoletta Dessì; Barbara Pes (IDEAL, 2007)

A Cost-Sensitive Approach to Feature Selection in Micro-Array Data Classification. - Andrea Bosin; Nicoletta Dessì; Barbara Pes (WILF, 2007)

The Future of Portals in E-Science. - Andrea Bosin; Nicoletta Dessì; Maria Grazia Fugini; Diego Liberati; Barbara Pes (Encyclopedia of Portal Technologies and Applications, 2007)

A Service Based Approach to a New Generation of Intrusion Detection Systems. - Andrea Bosin; Nicoletta Dessì; Barbara Pes (ECOWS, 2008)

Cooperative E-Organizations for Distributed Bioinformatics Experiments. - Andrea Bosin; Nicoletta Dessì; Maria Grazia Fugini; Barbara Pes (IDEAL, 2008)

Open Source Environments for Collaborative Experiments in e-Science. - Andrea Bosin; Nicoletta Dessì; Maria Grazia Fugini; Diego Liberati; Barbara Pes (OSS, 2008)

A Framework for Multi-class Learning in Micro-array Data Analysis. - Nicoletta Dessì; Barbara Pes (AIME, 2009)

Towards Scientific Dataspaces. - Nicoletta Dessì; Barbara Pes (Web Intelligence/IAT Workshops, 2009)

A Distributed Trust and Reputation Framework for Scientific Grids. - Nicoletta Dessì; Mariagrazia Fugini; Barbara Pes (RCIS, 2009)

A Filter-Based Evolutionary Approach for Selecting Features in High-Dimensional Micro-array Data. - Laura Maria Cannas; Nicoletta Dessì; Barbara Pes (IIP, 2010)

Will SOA accommodate the next step of e-Science?. - Andrea Bosin; Nicoletta Dessì; Madusudhanan Bairappan; Barbara Pes (NOTERE, 2010)

Tuning Evolutionary Algorithms in High Dimensional Classification Problems (Extended Abstract). - Laura Maria Cannas; Nicoletta Dessì; Barbara Pes (SEBD, 2010)

Knowledge Discovery in Gene Expression Data via Evolutionary Algorithms. - Laura Maria Cannas; Nicoletta Dessì; Barbara Pes (DEXA Workshops, 2011)

A Hybrid Model to Favor the Selection of High Quality Features in High Dimensional Domains. - Laura Maria Cannas; Nicoletta Dessì; Barbara Pes (IDEAL, 2011)

Extending the SOA paradigm to e-Science environments. - Andrea Bosin; Nicoletta Dessì; Barbara Pes (Future Gener. Comput. Syst., 2011)

A SOA-Based Environment Supporting Collaborative Experiments in E-Science. - Andrea Bosin; Nicoletta Dessì; Madusudhanan Bairappan; Barbara Pes (Int. J. Web Portals, 2011)

Web 2.0 Technologies Empowering Spatial Decision Making. - Nicoletta Dessì; Gianfranco Garau; Barbara Pes (WETICE, 2012)

Dataspaces Enhancing Decision Support Systems in Clouds. - Michele Argiolas; Maurizio Atzori; Nicoletta Dessì; Barbara Pes (Int. J. Web Portals, 2012)

Enhancing Random Forests Performance in Microarray Data Classification. - Nicoletta Dessì; Gabriele Milia; Barbara Pes (AIME, 2013)

BioCloud Search EnGene: Surfing Biological Data on the Cloud. - Nicoletta Dessì; Emanuele Pascariello; Gabriele Milia; Barbara Pes (CIBB, 2013)

A Fully Semantic Approach to Large Scale Text Categorization. - Nicoletta Dessì; Stefania Dessì; Barbara Pes (ISCIS, 2013)

Assessing similarity of feature selection techniques in high-dimensional domains. - Laura Maria Cannas; Nicoletta Dessì; Barbara Pes (Pattern Recognit. Lett., 2013)

Exploring the Relatedness of Gene Sets. - Nicoletta Dessì; Stefania Dessì; Emanuele Pascariello; Barbara Pes (CIBB, 2014)

Integrating Ontological Information about Genes. - Nicoletta Dessì; Emanuele Pascariello; Barbara Pes (WETICE, 2014)

On Stability of Ensemble Gene Selection. - Nicoletta Dessì; Barbara Pes; Marta Angioni (IDEAL, 2015)

Stability in Biomarker Discovery: Does Ensemble Feature Selection Really Help? - Nicoletta Dessì; Barbara Pes (IEA/AIE, 2015)

Enabling Secure and Collaborative Document Sharing in BIM Processes. - Carlo Argiolas; Nicoletta Dessì; Maria Grazia Fugini; Barbara Pes (ISCIS, 2015)

Towards Ontology-Enabled BioContexts for Bioinformatics Research. - Nicoletta Dessì; Giuliano Ferrentino; Emanuele Pascariello; Barbara Pes (WETICE, 2015)

Similarity of feature selection methods: An empirical study across data intensive classification tasks. - Nicoletta Dessì; Barbara Pes (Expert Syst. Appl., 2015)

An Evolutionary Approach for Balancing Effectiveness and Representation Level in Gene Selection. - Nicoletta Dessì; Barbara Pes; Laura Maria Cannas (J. Inf. Technol. Res., 2015)

Exploiting Biomedical Web Resources: A Case Study. - Nicoletta Dessì; Barbara Pes (EUSPN/ICTH, 2016)

The Effectiveness of Gene Ontology in Assessing Functionally Coherent Groups of Genes: A Case Study. - Nicoletta Dessì; Barbara Pes (IEA/AIE, 2016)

Increasing Open Government Data Transparency with Spatial Dimension. - Nicoletta Dessì; Gianfranco Garau; Diego Reforgiato Recupero; Barbara Pes (WETICE, 2016)

COWB: A cloud-based framework supporting collaborative knowledge management within biomedical communities. - Nicoletta Dessì; Gabriele Milia; Emanuele Pascariello; Barbara Pes (Future Gener. Comput. Syst., 2016)

An Approach for Discovering and Exploring Semantic Relationships between Genes. - Nicoletta Dessì; Matteo Pani; Barbara Pes; Diego Reforgiato Recupero (SeWeBMeDA@ESWC, 2017)

Track Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track. - Maurizio Atzori; Nicoletta Dessì; Barbara Pes (WETICE, 2017)

Feature Selection for High-Dimensional Data: The Issue of Stability. - Barbara Pes (WETICE, 2017)

Smart Spaces for Adaptive Information Integration in Bioinformatics. - Nicoletta Dessì; Barbara Pes (Future Gener. Comput. Syst., 2017)

Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data. - Barbara Pes; Nicoletta Dessì; Marta Angioni (Inf. Fusion, 2017)

Data Mining for Detecting Bitcoin Ponzi Schemes. - Massimo Bartoletti; Barbara Pes; Sergio Serusi (CVCBT, 2018)

Evaluating Feature Selection Robustness on High-Dimensional Data. - Barbara Pes (HAIS, 2018)

Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track. - Maurizio Atzori; Barbara Pes (WETICE, 2018)

Toward Supporting Food Journaling Using Air Quality Data Mining and a Social Robot. - Federica Gerina; Barbara Pes; Diego Reforgiato Recupero; Daniele Riboni (AmI, 2019)

DEW 2019: Data Exploration in the Web 3.0 Age. - Maurizio Atzori; Barbara Pes (WETICE, 2019)

Handling Class Imbalance in High-Dimensional Biomedical Datasets. - Barbara Pes (WETICE, 2019)

Special Issue on Advanced Learning Methods for Complex Data. - Maurizio Atzori; Barbara Pes (Inf., 2019)

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

Special issue on "Data Exploration in the Web 3.0 Age". - Maurizio Atzori; Georgia Koutrika; Barbara Pes; Letizia Tanca (Future Gener. Comput. Syst., 2020)

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

Towards Context-aware Power Forecasting in Smart-homes. - Emanuele Cuncu; Marco Manolo Manca; Barbara Pes; Daniele Riboni (EUSPN/ICTH, 2021)

Feature Selection in Mobile Activity Recognition: A Comparative Study. - Andrea Loddo; Barbara Pes; Daniele Riboni (MDM, 2021)

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

Special Issue on Emerging Trends and Challenges in Supervised Learning Tasks. - Barbara Pes (Inf., 2021)

Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study. - Barbara Pes; Giuseppina Lai (PeerJ Comput. Sci., 2021)

A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home. - Samaneh Zolfaghari; Andrea Loddo; Barbara Pes; Daniele Riboni (MDM, 2022)

Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis. - Andrea Loddo; Giacomo Meloni; Barbara Pes (IEEE Access, 2022)

Exploiting Feature Selection in Human Activity Recognition: Methodological Insights and Empirical Results Using Mobile Sensor Data. - Marco Manolo Manca; Barbara Pes; Daniele Riboni (IEEE Access, 2022)

TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data. - Luca Zedda; Alessandra Perniciano; Andrea Loddo; Barbara Pes (ICCSA (Workshops 1), 2023)

Feature Selection on Imbalanced Domains: A Stability-Based Analysis. - Paolo Orrù; Barbara Pes (IEA/AIE (1), 2023)

An EvaluationAlessandra Perniciano of Feature Selection Robustness on Class Noisy Data. - Simone Pau; Alessandra Perniciano; Barbara Pes; Dario Rubattu (Inf., 2023)

A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. - Ludovico Boratto; Giulia Cerniglia; Mirko Marras; Alessandra Perniciano; Barbara Pes (ECIR (3), 2024)

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation. - Andrea Loddo; Davide Ghiani; Alessandra Perniciano; Luca Zedda; Barbara Pes; Cecilia Di Ruberto (Inf., 2024)

Insights into radiomics: impact of feature selection and classification. - Alessandra Perniciano; Andrea Loddo; Cecilia Di Ruberto; Barbara Pes (Multim. Tools Appl., 2025)

CRDet: An Artificial Intelligence-Based Framework for Automated Cheese Ripeness Assessment from Digital Images. - Alessandra Perniciano; Luca Zedda; Cecilia Di Ruberto; Barbara Pes; Andrea Loddo (IEEE CAA J. Autom. Sinica, 2025)