PES, BARBARA

PES, BARBARA  

DIPARTIMENTO DI MATEMATICA ED INFORMATICA  

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Titolo Data di pubblicazione Autore(i) Rivista Editore
A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation 1-gen-2024 Boratto, L.; Cerniglia, G.; Marras, M.; Perniciano, A.; Pes, B. - SPRINGER INTERNATIONAL PUBLISHING AG
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation 1-gen-2024 Loddo, A.; Ghiani, D.; Perniciano, A.; Zedda, L.; Pes, B.; Di Ruberto, C. INFORMATION -
Insights into radiomics: impact of feature selection and classification 1-gen-2024 Perniciano, Alessandra; Loddo, Andrea; Di Ruberto, Cecilia; Pes, Barbara MULTIMEDIA TOOLS AND APPLICATIONS -
An Evaluation of Feature Selection Robustness on Class Noisy Data 1-gen-2023 Pau, S.; Perniciano, A.; Pes, B.; Rubattu, D. INFORMATION -
Biomarker dynamics affecting neoadjuvant therapy response and outcome of HER2-positive breast cancer subtype 1-gen-2023 Orru, S.; Pascariello, E.; Pes, B.; Rallo, V.; Barbara, R.; Muntoni, M.; Notari, F.; Fancello, G.; Mocci, C.; Muroni, M. R.; Cossu-Rocca, P.; Angius, A.; De Miglio, M. R. SCIENTIFIC REPORTS -
Feature Selection on Imbalanced Domains: A Stability-Based Analysis 1-gen-2023 Orru, P.; Pes, B. - Springer
TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data 1-gen-2023 Zedda, L.; Perniciano, A.; Loddo, A.; Pes, B. - SPRINGER INTERNATIONAL PUBLISHING AG
A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home 1-gen-2022 Zolfaghari, S.; Loddo, A.; Pes, B.; Riboni, D. - -
Exploiting Feature Selection in Human Activity Recognition: Methodological Insights and Empirical Results Using Mobile Sensor Data 1-gen-2022 Manca, M. M.; Pes, B.; Riboni, D. IEEE ACCESS -
Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis 1-gen-2022 Loddo, A.; Meloni, G.; Pes, B. IEEE ACCESS -
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study 1-gen-2021 Pes, B.; Lai, G. PEERJ. COMPUTER SCIENCE. -
Feature Selection in Mobile Activity Recognition: A Comparative Study 1-gen-2021 Loddo, A.; Pes, B.; Riboni, D. - Institute of Electrical and Electronics Engineers Inc.
Learning from high-dimensional and class-imbalanced datasets using random forests 1-gen-2021 Pes, B. INFORMATION -
Special issue on emerging trends and challenges in supervised learning tasks 1-gen-2021 Pes, B. INFORMATION -
Towards Context-aware Power Forecasting in Smart-homes 1-gen-2021 Cuncu, E.; Manca, M. M.; Pes, B.; Riboni, D. PROCEDIA COMPUTER SCIENCE Elsevier B.V.
Ensemble feature selection for high-dimensional data: a stability analysis across multiple domains 1-gen-2020 Pes, Barbara NEURAL COMPUTING & APPLICATIONS -
Learning from high-dimensional biomedical datasets: The issue of class imbalance 1-gen-2020 Pes, B. IEEE ACCESS -
Special issue on “Data Exploration in the Web 3.0 Age” 1-gen-2020 Atzori, M.; Koutrika, G.; Pes, B.; Tanca, L. FUTURE GENERATION COMPUTER SYSTEMS -
DEW 2019: Data Exploration in the Web 3.0 Age 1-gen-2019 Atzori, M.; Pes, B. - Institute of Electrical and Electronics Engineers (IEEE)
Handling Class Imbalance in High-Dimensional Biomedical Datasets 1-gen-2019 Pes, B. - Institute of Electrical and Electronics Engineers Inc.