Barbara Pes - RankMe

75 papers B 7C 18Misc 1Journal 24Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CRDet: An Artificial Intelligence-Based Framework for Automated Cheese Ripeness Assessment from Digital Images. IEEE CAA J. Autom. Sinica Alessandra Perniciano, Luca Zedda, Cecilia Di Ruberto, Barbara Pes, Andrea Loddo
2025	J	`jnl`	Insights into radiomics: impact of feature selection and classification. Multim. Tools Appl. Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto, Barbara Pes
2024	J	`jnl`	A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation. CoRR Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes
2024	—	`conf`	A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. ECIR (3) Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes
2024	J	`jnl`	An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation. Inf. Andrea Loddo, Davide Ghiani, Alessandra Perniciano, Luca Zedda, Barbara Pes, Cecilia Di Ruberto
2023	J	`jnl`	An EvaluationAlessandra Perniciano of Feature Selection Robustness on Class Noisy Data. Inf. Simone Pau, Alessandra Perniciano, Barbara Pes, Dario Rubattu
2023	—	`conf`	Feature Selection on Imbalanced Domains: A Stability-Based Analysis. IEA/AIE (1) Paolo Orrù, Barbara Pes
2023	—	`conf`	TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data. ICCSA (Workshops 1) Luca Zedda, Alessandra Perniciano, Andrea Loddo, Barbara Pes
2022	B	`conf`	A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home. MDM Samaneh Zolfaghari, Andrea Loddo, Barbara Pes, Daniele Riboni
2022	J	`jnl`	Exploiting Feature Selection in Human Activity Recognition: Methodological Insights and Empirical Results Using Mobile Sensor Data. IEEE Access Marco Manolo Manca, Barbara Pes, Daniele Riboni
2022	J	`jnl`	Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis. IEEE Access Andrea Loddo, Giacomo Meloni, Barbara Pes
2021	J	`jnl`	Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study. PeerJ Comput. Sci. Barbara Pes, Giuseppina Lai
2021	B	`conf`	Feature Selection in Mobile Activity Recognition: A Comparative Study. MDM Andrea Loddo, Barbara Pes, Daniele Riboni
2021	J	`jnl`	Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests. Inf. Barbara Pes
2021	J	`jnl`	Special Issue on Emerging Trends and Challenges in Supervised Learning Tasks. Inf. Barbara Pes
2021	—	`conf`	Towards Context-aware Power Forecasting in Smart-homes. EUSPN/ICTH Emanuele Cuncu, Marco Manolo Manca, Barbara Pes, Daniele Riboni
2020	J	`jnl`	Ensemble feature selection for high-dimensional data: a stability analysis across multiple domains. Neural Comput. Appl. Barbara Pes
2020	J	`jnl`	Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance. IEEE Access Barbara Pes
2020	J	`jnl`	Special issue on "Data Exploration in the Web 3.0 Age". Future Gener. Comput. Syst. Maurizio Atzori, Georgia Koutrika, Barbara Pes, Letizia Tanca
2019	C	`conf`	DEW 2019: Data Exploration in the Web 3.0 Age. WETICE Maurizio Atzori, Barbara Pes
2019	C	`conf`	Handling Class Imbalance in High-Dimensional Biomedical Datasets. WETICE Barbara Pes
2019	J	`jnl`	Special Issue on Advanced Learning Methods for Complex Data. Inf. Maurizio Atzori, Barbara Pes
2019	—	`conf`	Toward Supporting Food Journaling Using Air Quality Data Mining and a Social Robot. AmI Federica Gerina, Barbara Pes, Diego Reforgiato Recupero, Daniele Riboni
2018	—	`conf`	Data Mining for Detecting Bitcoin Ponzi Schemes. CVCBT Massimo Bartoletti, Barbara Pes, Sergio Serusi
2018	J	`jnl`	Data mining for detecting Bitcoin Ponzi schemes. CoRR Massimo Bartoletti, Barbara Pes, Sergio Serusi
2018	Misc	`conf`	Evaluating Feature Selection Robustness on High-Dimensional Data. HAIS Barbara Pes
2018	C	`conf`	Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track. WETICE Maurizio Atzori, Barbara Pes
2017	—	`conf`	An Approach for Discovering and Exploring Semantic Relationships between Genes. SeWeBMeDA@ESWC Nicoletta Dessì, Matteo Pani, Barbara Pes, Diego Reforgiato Recupero
2017	J	`jnl`	Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data. Inf. Fusion Barbara Pes, Nicoletta Dessì, Marta Angioni
2017	C	`conf`	Feature Selection for High-Dimensional Data: The Issue of Stability. WETICE Barbara Pes
2017	J	`jnl`	Smart Spaces for Adaptive Information Integration in Bioinformatics. Future Gener. Comput. Syst. Nicoletta Dessì, Barbara Pes
2017	C	`conf`	Track Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track. WETICE Maurizio Atzori, Nicoletta Dessì, Barbara Pes
2016	J	`jnl`	COWB: A cloud-based framework supporting collaborative knowledge management within biomedical communities. Future Gener. Comput. Syst. Nicoletta Dessì, Gabriele Milia, Emanuele Pascariello, Barbara Pes
2016	—	`conf`	Exploiting Biomedical Web Resources: A Case Study. EUSPN/ICTH Nicoletta Dessì, Barbara Pes
2016	C	`conf`	Increasing Open Government Data Transparency with Spatial Dimension. WETICE Nicoletta Dessì, Gianfranco Garau, Diego Reforgiato Recupero, Barbara Pes
2016	C	`conf`	The Effectiveness of Gene Ontology in Assessing Functionally Coherent Groups of Genes: A Case Study. IEA/AIE Nicoletta Dessì, Barbara Pes
2015	J	`jnl`	An Evolutionary Approach for Balancing Effectiveness and Representation Level in Gene Selection. J. Inf. Technol. Res. Nicoletta Dessì, Barbara Pes, Laura Maria Cannas
2015	—	`conf`	Enabling Secure and Collaborative Document Sharing in BIM Processes. ISCIS Carlo Argiolas, Nicoletta Dessì, Maria Grazia Fugini, Barbara Pes
2015	C	`conf`	On Stability of Ensemble Gene Selection. IDEAL Nicoletta Dessì, Barbara Pes, Marta Angioni
2015	J	`jnl`	Similarity of feature selection methods: An empirical study across data intensive classification tasks. Expert Syst. Appl. Nicoletta Dessì, Barbara Pes
2015	C	`conf`	Stability in Biomarker Discovery: Does Ensemble Feature Selection Really Help? IEA/AIE Nicoletta Dessì, Barbara Pes
2015	C	`conf`	Towards Ontology-Enabled BioContexts for Bioinformatics Research. WETICE Nicoletta Dessì, Giuliano Ferrentino, Emanuele Pascariello, Barbara Pes
2014	—	`conf`	Exploring the Relatedness of Gene Sets. CIBB Nicoletta Dessì, Stefania Dessì, Emanuele Pascariello, Barbara Pes
2014	C	`conf`	Integrating Ontological Information about Genes. WETICE Nicoletta Dessì, Emanuele Pascariello, Barbara Pes
2013	—	`conf`	A Fully Semantic Approach to Large Scale Text Categorization. ISCIS Nicoletta Dessì, Stefania Dessì, Barbara Pes
2013	J	`jnl`	Assessing similarity of feature selection techniques in high-dimensional domains. Pattern Recognit. Lett. Laura Maria Cannas, Nicoletta Dessì, Barbara Pes
2013	—	`conf`	BioCloud Search EnGene: Surfing Biological Data on the Cloud. CIBB Nicoletta Dessì, Emanuele Pascariello, Gabriele Milia, Barbara Pes
2013	B	`conf`	Enhancing Random Forests Performance in Microarray Data Classification. AIME Nicoletta Dessì, Gabriele Milia, Barbara Pes
2012	J	`jnl`	Dataspaces Enhancing Decision Support Systems in Clouds. Int. J. Web Portals Michele Argiolas, Maurizio Atzori, Nicoletta Dessì, Barbara Pes
2012	C	`conf`	Web 2.0 Technologies Empowering Spatial Decision Making. WETICE Nicoletta Dessì, Gianfranco Garau, Barbara Pes
2011	C	`conf`	A Hybrid Model to Favor the Selection of High Quality Features in High Dimensional Domains. IDEAL Laura Maria Cannas, Nicoletta Dessì, Barbara Pes
2011	J	`jnl`	A SOA-Based Environment Supporting Collaborative Experiments in E-Science. Int. J. Web Portals Andrea Bosin, Nicoletta Dessì, Madusudhanan Bairappan, Barbara Pes
2011	J	`jnl`	Extending the SOA paradigm to e-Science environments. Future Gener. Comput. Syst. Andrea Bosin, Nicoletta Dessì, Barbara Pes
2011	—	`conf`	Knowledge Discovery in Gene Expression Data via Evolutionary Algorithms. DEXA Workshops Laura Maria Cannas, Nicoletta Dessì, Barbara Pes
2010	—	`conf`	A Filter-Based Evolutionary Approach for Selecting Features in High-Dimensional Micro-array Data. IIP Laura Maria Cannas, Nicoletta Dessì, Barbara Pes
2010	—	`conf`	Tuning Evolutionary Algorithms in High Dimensional Classification Problems (Extended Abstract). SEBD Laura Maria Cannas, Nicoletta Dessì, Barbara Pes
2010	—	`conf`	Will SOA accommodate the next step of e-Science?. NOTERE Andrea Bosin, Nicoletta Dessì, Madusudhanan Bairappan, Barbara Pes
2009	B	`conf`	A Distributed Trust and Reputation Framework for Scientific Grids. RCIS Nicoletta Dessì, Mariagrazia Fugini, Barbara Pes
2009	B	`conf`	A Framework for Multi-class Learning in Micro-array Data Analysis. AIME Nicoletta Dessì, Barbara Pes
2009	—	`conf`	Towards Scientific Dataspaces. Web Intelligence/IAT Workshops Nicoletta Dessì, Barbara Pes
2008	—	`conf`	A Service Based Approach to a New Generation of Intrusion Detection Systems. ECOWS Andrea Bosin, Nicoletta Dessì, Barbara Pes
2008	C	`conf`	Cooperative E-Organizations for Distributed Bioinformatics Experiments. IDEAL Andrea Bosin, Nicoletta Dessì, Maria Grazia Fugini, Barbara Pes
2008	—	`conf`	Open Source Environments for Collaborative Experiments in e-Science. OSS Andrea Bosin, Nicoletta Dessì, Maria Grazia Fugini, Diego Liberati, Barbara Pes
2007	—	`conf`	A Cost-Sensitive Approach to Feature Selection in Micro-Array Data Classification. WILF Andrea Bosin, Nicoletta Dessì, Barbara Pes
2007	C	`conf`	Capturing Heuristics and Intelligent Methods for Improving Micro-array Data Classification. IDEAL Andrea Bosin, Nicoletta Dessì, Barbara Pes
2007	—	`ch.`	The Future of Portals in E-Science. Encyclopedia of Portal Technologies and Applications Andrea Bosin, Nicoletta Dessì, Maria Grazia Fugini, Diego Liberati, Barbara Pes
2006	—	`conf`	Data Mining Strategies for Classification of Microarray Data. SEBD Andrea Bosin, Nicoletta Dessì, Barbara Pes
2006	C	`conf`	High-Dimensional Micro-array Data Classification Using Minimum Description Length and Domain Expert Knowledge. IEA/AIE Andrea Bosin, Nicoletta Dessì, Barbara Pes
2005	—	`conf`	A Framework for the Modular Composition of Learning Objects. CELDA Nicoletta Dessì, Barbara Pes
2005	—	`conf`	Applying Enterprise Models to Design Cooperative Scientific Environments. Business Process Management Workshops Andrea Bosin, Nicoletta Dessì, Maria Grazia Fugini, Diego Liberati, Barbara Pes
2005	C	`conf`	Intelligent Bayesian Classifiers in Network Intrusion Detection. IEA/AIE Andrea Bosin, Nicoletta Dessì, Barbara Pes
2005	—	`conf`	Learning Bayesian Classifiers from Gene-Expression MicroArray Data. WILF Andrea Bosin, Nicoletta Dessì, Diego Liberati, Barbara Pes
2004	B	`conf`	An Automatic Assessment System Supporting Computer Science Entrance Examinations. ICALT Francesco Aymerich, Nicoletta Dessì, Barbara Pes, Andrea Saba
2004	C	`conf`	Engineering Knowledge Discovery in Network Intrusion Detection. IDEAL Andrea Bosin, Nicoletta Dessì, Barbara Pes
2003	B	`conf`	A Data Model for Structuring On-Line Learning Material. ICALT Nicoletta Dessì, Barbara Pes