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2020 – today
- 2024
[j20]Andrea Loddo
, Davide Ghiani, Alessandra Perniciano, Luca Zedda, Barbara Pes, Cecilia Di Ruberto:
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation. Inf. 15(6): 360 (2024)- [c50]Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes:
A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. ECIR (3) 2024: 440-448 - [i2]Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes:
A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation. CoRR abs/2401.13566 (2024) - 2023
- [j19]Simone Pau, Alessandra Perniciano, Barbara Pes, Dario Rubattu:
An EvaluationAlessandra Perniciano of Feature Selection Robustness on Class Noisy Data. Inf. 14(8): 438 (2023) - [c49]Luca Zedda, Alessandra Perniciano, Andrea Loddo, Barbara Pes:
TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data. ICCSA (Workshops 1) 2023: 225-240 - [c48]Paolo Orrù, Barbara Pes:
Feature Selection on Imbalanced Domains: A Stability-Based Analysis. IEA/AIE (1) 2023: 14-27 - 2022
- [j18]Marco Manolo Manca, Barbara Pes, Daniele Riboni:
Exploiting Feature Selection in Human Activity Recognition: Methodological Insights and Empirical Results Using Mobile Sensor Data. IEEE Access 10: 64043-64058 (2022) - [j17]Andrea Loddo, Giacomo Meloni, Barbara Pes:
Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis. IEEE Access 10: 119593-119606 (2022) - [c47]Samaneh Zolfaghari, Andrea Loddo, Barbara Pes, Daniele Riboni:
A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home. MDM 2022: 343-348 - 2021
- [j16]Barbara Pes:
Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests. Inf. 12(8): 286 (2021) - [j15]Barbara Pes:
Special Issue on Emerging Trends and Challenges in Supervised Learning Tasks. Inf. 12(11): 481 (2021) - [j14]Barbara Pes, Giuseppina Lai:
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study. PeerJ Comput. Sci. 7: e832 (2021) - [c46]Emanuele Cuncu, Marco Manolo Manca, Barbara Pes, Daniele Riboni:
Towards Context-aware Power Forecasting in Smart-homes. EUSPN/ICTH 2021: 243-248 - [c45]Andrea Loddo, Barbara Pes, Daniele Riboni:
Feature Selection in Mobile Activity Recognition: A Comparative Study. MDM 2021: 181-186 - 2020
- [j13]Barbara Pes:
Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance. IEEE Access 8: 13527-13540 (2020) - [j12]Maurizio Atzori, Georgia Koutrika, Barbara Pes, Letizia Tanca:
Special issue on "Data Exploration in the Web 3.0 Age". Future Gener. Comput. Syst. 112: 1177-1179 (2020) - [j11]Barbara Pes:
Ensemble feature selection for high-dimensional data: a stability analysis across multiple domains. Neural Comput. Appl. 32(10): 5951-5973 (2020)
2010 – 2019
- 2019
- [j10]Maurizio Atzori, Barbara Pes:
Special Issue on Advanced Learning Methods for Complex Data. Inf. 10(1): 8 (2019) - [c44]Federica Gerina, Barbara Pes, Diego Reforgiato Recupero, Daniele Riboni:
Toward Supporting Food Journaling Using Air Quality Data Mining and a Social Robot. AmI 2019: 318-323 - [c43]Maurizio Atzori, Barbara Pes:
DEW 2019: Data Exploration in the Web 3.0 Age. WETICE 2019: 138-139 - [c42]Barbara Pes:
Handling Class Imbalance in High-Dimensional Biomedical Datasets. WETICE 2019: 150-155 - 2018
- [c41]Massimo Bartoletti, Barbara Pes, Sergio Serusi:
Data Mining for Detecting Bitcoin Ponzi Schemes. CVCBT 2018: 75-84 - [c40]Barbara Pes:
Evaluating Feature Selection Robustness on High-Dimensional Data. HAIS 2018: 235-247 - [c39]Maurizio Atzori, Barbara Pes:
Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track. WETICE 2018: 139-141 - [i1]Massimo Bartoletti, Barbara Pes, Sergio Serusi:
Data mining for detecting Bitcoin Ponzi schemes. CoRR abs/1803.00646 (2018) - 2017
- [j9]Nicoletta Dessì, Barbara Pes:
Smart Spaces for Adaptive Information Integration in Bioinformatics. Future Gener. Comput. Syst. 68: 407-415 (2017) - [j8]Barbara Pes, Nicoletta Dessì, Marta Angioni:
Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data. Inf. Fusion 35: 132-147 (2017) - [c38]Nicoletta Dessì, Matteo Pani, Barbara Pes, Diego Reforgiato Recupero:
An Approach for Discovering and Exploring Semantic Relationships between Genes. SeWeBMeDA@ESWC 2017: 1-15 - [c37]Maurizio Atzori, Nicoletta Dessì, Barbara Pes:
Track Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track. WETICE 2017: 155-157 - [c36]Barbara Pes:
Feature Selection for High-Dimensional Data: The Issue of Stability. WETICE 2017: 170-175 - 2016
- [j7]Nicoletta Dessì, Gabriele Milia, Emanuele Pascariello, Barbara Pes:
COWB: A cloud-based framework supporting collaborative knowledge management within biomedical communities. Future Gener. Comput. Syst. 54: 399-408 (2016) - [c35]Nicoletta Dessì, Barbara Pes:
Exploiting Biomedical Web Resources: A Case Study. EUSPN/ICTH 2016: 275-282 - [c34]Nicoletta Dessì, Barbara Pes:
The Effectiveness of Gene Ontology in Assessing Functionally Coherent Groups of Genes: A Case Study. IEA/AIE 2016: 283-293 - [c33]Nicoletta Dessì, Gianfranco Garau, Diego Reforgiato Recupero, Barbara Pes:
Increasing Open Government Data Transparency with Spatial Dimension. WETICE 2016: 247-249 - 2015
- [j6]Nicoletta Dessì, Barbara Pes:
Similarity of feature selection methods: An empirical study across data intensive classification tasks. Expert Syst. Appl. 42(10): 4632-4642 (2015) - [j5]Nicoletta Dessì, Barbara Pes, Laura Maria Cannas:
An Evolutionary Approach for Balancing Effectiveness and Representation Level in Gene Selection. J. Inf. Technol. Res. 8(2): 16-33 (2015) - [c32]Nicoletta Dessì, Barbara Pes, Marta Angioni:
On Stability of Ensemble Gene Selection. IDEAL 2015: 416-423 - [c31]Nicoletta Dessì, Barbara Pes:
Stability in Biomarker Discovery: Does Ensemble Feature Selection Really Help? IEA/AIE 2015: 191-200 - [c30]Carlo Argiolas, Nicoletta Dessì, Maria Grazia Fugini, Barbara Pes:
Enabling Secure and Collaborative Document Sharing in BIM Processes. ISCIS 2015: 393-402 - [c29]Nicoletta Dessì, Giuliano Ferrentino, Emanuele Pascariello, Barbara Pes:
Towards Ontology-Enabled BioContexts for Bioinformatics Research. WETICE 2015: 236-238 - 2014
- [c28]Nicoletta Dessì, Stefania Dessì, Emanuele Pascariello, Barbara Pes:
Exploring the Relatedness of Gene Sets. CIBB 2014: 44-56 - [c27]Nicoletta Dessì, Emanuele Pascariello, Barbara Pes:
Integrating Ontological Information about Genes. WETICE 2014: 417-422 - 2013
- [j4]Laura Maria Cannas, Nicoletta Dessì, Barbara Pes:
Assessing similarity of feature selection techniques in high-dimensional domains. Pattern Recognit. Lett. 34(12): 1446-1453 (2013) - [c26]Nicoletta Dessì, Gabriele Milia, Barbara Pes:
Enhancing Random Forests Performance in Microarray Data Classification. AIME 2013: 99-103 - [c25]Nicoletta Dessì, Emanuele Pascariello, Gabriele Milia, Barbara Pes:
BioCloud Search EnGene: Surfing Biological Data on the Cloud. CIBB 2013: 33-48 - [c24]Nicoletta Dessì, Stefania Dessì, Barbara Pes:
A Fully Semantic Approach to Large Scale Text Categorization. ISCIS 2013: 149-157 - 2012
- [j3]Michele Argiolas, Maurizio Atzori, Nicoletta Dessì, Barbara Pes:
Dataspaces Enhancing Decision Support Systems in Clouds. Int. J. Web Portals 4(2): 35-55 (2012) - [c23]Nicoletta Dessì, Gianfranco Garau, Barbara Pes:
Web 2.0 Technologies Empowering Spatial Decision Making. WETICE 2012: 462-467 - 2011
- [j2]Andrea Bosin, Nicoletta Dessì, Barbara Pes:
Extending the SOA paradigm to e-Science environments. Future Gener. Comput. Syst. 27(1): 20-31 (2011) - [j1]Andrea Bosin, Nicoletta Dessì, Madusudhanan Bairappan, Barbara Pes:
A SOA-Based Environment Supporting Collaborative Experiments in E-Science. Int. J. Web Portals 3(3): 12-26 (2011) - [c22]Laura Maria Cannas, Nicoletta Dessì, Barbara Pes:
Knowledge Discovery in Gene Expression Data via Evolutionary Algorithms. DEXA Workshops 2011: 402-406 - [c21]Laura Maria Cannas, Nicoletta Dessì, Barbara Pes:
A Hybrid Model to Favor the Selection of High Quality Features in High Dimensional Domains. IDEAL 2011: 228-235 - 2010
- [c20]Laura Maria Cannas, Nicoletta Dessì, Barbara Pes:
A Filter-Based Evolutionary Approach for Selecting Features in High-Dimensional Micro-array Data. Intelligent Information Processing 2010: 297-307 - [c19]Andrea Bosin, Nicoletta Dessì, Madusudhanan Bairappan, Barbara Pes:
Will SOA accommodate the next step of e-Science?. NOTERE 2010: 303-308 - [c18]Laura Maria Cannas, Nicoletta Dessì, Barbara Pes:
Tuning Evolutionary Algorithms in High Dimensional Classification Problems (Extended Abstract). SEBD 2010: 142-149
2000 – 2009
- 2009
- [c17]Nicoletta Dessì, Barbara Pes:
A Framework for Multi-class Learning in Micro-array Data Analysis. AIME 2009: 275-284 - [c16]Nicoletta Dessì, Barbara Pes:
Towards Scientific Dataspaces. Web Intelligence/IAT Workshops 2009: 575-578 - [c15]Nicoletta Dessì, Mariagrazia Fugini, Barbara Pes:
A Distributed Trust and Reputation Framework for Scientific Grids. RCIS 2009: 265-274 - 2008
- [c14]Andrea Bosin, Nicoletta Dessì, Barbara Pes:
A Service Based Approach to a New Generation of Intrusion Detection Systems. ECOWS 2008: 215-224 - [c13]Andrea Bosin, Nicoletta Dessì, Maria Grazia Fugini, Barbara Pes:
Cooperative E-Organizations for Distributed Bioinformatics Experiments. IDEAL 2008: 306-313 - [c12]Andrea Bosin, Nicoletta Dessì, Maria Grazia Fugini, Diego Liberati, Barbara Pes:
Open Source Environments for Collaborative Experiments in e-Science. OSS 2008: 415-416 - 2007
- [c11]Andrea Bosin, Nicoletta Dessì, Barbara Pes:
Capturing Heuristics and Intelligent Methods for Improving Micro-array Data Classification. IDEAL 2007: 790-799 - [c10]Andrea Bosin, Nicoletta Dessì, Barbara Pes:
A Cost-Sensitive Approach to Feature Selection in Micro-Array Data Classification. WILF 2007: 571-579 - [r1]Andrea Bosin, Nicoletta Dessì, Maria Grazia Fugini, Diego Liberati, Barbara Pes:
The Future of Portals in E-Science. Encyclopedia of Portal Technologies and Applications 2007: 413-418 - 2006
- [c9]Andrea Bosin, Nicoletta Dessì, Barbara Pes:
High-Dimensional Micro-array Data Classification Using Minimum Description Length and Domain Expert Knowledge. IEA/AIE 2006: 790-799 - [c8]Andrea Bosin, Nicoletta Dessì, Barbara Pes:
Data Mining Strategies for Classification of Microarray Data. SEBD 2006: 289-296 - 2005
- [c7]Andrea Bosin, Nicoletta Dessì, Maria Grazia Fugini, Diego Liberati, Barbara Pes:
Applying Enterprise Models to Design Cooperative Scientific Environments. Business Process Management Workshops 2005: 281-292 - [c6]Nicoletta Dessì, Barbara Pes:
A Framework for the Modular Composition of Learning Objects. CELDA 2005: 409-414 - [c5]Andrea Bosin, Nicoletta Dessì, Barbara Pes:
Intelligent Bayesian Classifiers in Network Intrusion Detection. IEA/AIE 2005: 445-447 - [c4]Andrea Bosin, Nicoletta Dessì, Diego Liberati, Barbara Pes:
Learning Bayesian Classifiers from Gene-Expression MicroArray Data. WILF 2005: 297-304 - 2004
- [c3]Francesco Aymerich, Nicoletta Dessì, Barbara Pes, Andrea Saba:
An Automatic Assessment System Supporting Computer Science Entrance Examinations. ICALT 2004 - [c2]Andrea Bosin, Nicoletta Dessì, Barbara Pes:
Engineering Knowledge Discovery in Network Intrusion Detection. IDEAL 2004: 253-258 - 2003
- [c1]Nicoletta Dessì, Barbara Pes:
A Data Model for Structuring On-Line Learning Material. ICALT 2003: 266-267
Coauthor Index
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