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Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance

IEEE access, 2020, Vol.8, p.13527-13540

Pes, Barbara

2020

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Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests

Information (Basel), 2021, Vol.12 (8), p.286

Pes, Barbara

2021

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Special Issue on Emerging Trends and Challenges in Supervised Learning Tasks

Information (Basel), 2021-11, Vol.12 (11), p.481

Pes, Barbara

2021

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Ensemble feature selection for high-dimensional data: a stability analysis across multiple domains

Neural computing & applications, 2020-05, Vol.32 (10), p.5951-5973

Pes, Barbara

2020

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Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study

PeerJ. Computer science, 2021-12, Vol.7, p.e832-e832, Article e832

2021

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Exploiting Feature Selection in Human Activity Recognition: Methodological Insights and Empirical Results Using Mobile Sensor Data

IEEE access, 2022, Vol.10, p.64043-64058

2022

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Biomarker dynamics affecting neoadjuvant therapy response and outcome of HER2-positive breast cancer subtype

Scientific reports, 2023-08, Vol.13 (1), p.12869-12869, Article 12869

2023

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An Evaluation of Feature Selection Robustness on Class Noisy Data

Information (Basel), 2023-08, Vol.14 (8), p.438

2023

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An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

Information (Basel), 2024-06, Vol.15 (6), p.360

2024

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Special Issue on Advanced Learning Methods for Complex Data

Information (Basel), 2019-01, Vol.10 (1), p.8

2019

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Similarity of feature selection methods: An empirical study across data intensive classification tasks

Expert systems with applications, 2015-06, Vol.42 (10), p.4632-4642

2015

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Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data

Information fusion, 2017-05, Vol.35, p.132-147

2017

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Handling Class Imbalance in High-Dimensional Biomedical Datasets

2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2019, p.150-155

Pes, Barbara

2019

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Evaluating Feature Selection Robustness on High-Dimensional Data

Hybrid Artificial Intelligent Systems, p.235-247

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Special issue on “Data Exploration in the Web 3.0 Age”

Future generation computer systems, 2020-11, Vol.112, p.1177-1179

2020

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DEW 2019: Data Exploration in the Web 3.0 Age

2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2019, p.138-139

2019

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Feature Selection on Imbalanced Domains: A Stability-Based Analysis

Advances and Trends in Artificial Intelligence. Theory and Applications, p.14-27

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Data Mining for Detecting Bitcoin Ponzi Schemes

2018 Crypto Valley Conference on Blockchain Technology (CVCBT), 2018, p.75-84

2018

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Smart Spaces for Adaptive Information Integration in Bioinformatics

Future generation computer systems, 2017-03, Vol.68, p.407-415

2017

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Towards Context-aware Power Forecasting in Smart-homes

Procedia computer science, 2022, Vol.198, p.243-248

2022

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Feature Selection in Mobile Activity Recognition: A Comparative Study

2021 22nd IEEE International Conference on Mobile Data Management (MDM), 2021, p.181-186

2021

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A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home

2022 23rd IEEE International Conference on Mobile Data Management (MDM), 2022, p.343-348

2022

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A Comparative Analysis of Biomarker Selection Techniques

BioMed research international, 2013-01, Vol.2013, p.387673-10

2013

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Assessing similarity of feature selection techniques in high-dimensional domains

Pattern recognition letters, 2013-09, Vol.34 (12), p.1446-1453

2013

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COWB: A cloud-based framework supporting collaborative knowledge management within biomedical communities

Future generation computer systems, 2016-01, Vol.54, p.399-408

2016

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Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance

Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests

Special Issue on Emerging Trends and Challenges in Supervised Learning Tasks

Ensemble feature selection for high-dimensional data: a stability analysis across multiple domains

Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study

Exploiting Feature Selection in Human Activity Recognition: Methodological Insights and Empirical Results Using Mobile Sensor Data

Biomarker dynamics affecting neoadjuvant therapy response and outcome of HER2-positive breast cancer subtype

An Evaluation of Feature Selection Robustness on Class Noisy Data

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

Special Issue on Advanced Learning Methods for Complex Data

Similarity of feature selection methods: An empirical study across data intensive classification tasks

Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data

Handling Class Imbalance in High-Dimensional Biomedical Datasets

Evaluating Feature Selection Robustness on High-Dimensional Data

Special issue on “Data Exploration in the Web 3.0 Age”

DEW 2019: Data Exploration in the Web 3.0 Age

Feature Selection on Imbalanced Domains: A Stability-Based Analysis

Data Mining for Detecting Bitcoin Ponzi Schemes

Smart Spaces for Adaptive Information Integration in Bioinformatics

Towards Context-aware Power Forecasting in Smart-homes

Feature Selection in Mobile Activity Recognition: A Comparative Study

A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home

A Comparative Analysis of Biomarker Selection Techniques

Assessing similarity of feature selection techniques in high-dimensional domains

COWB: A cloud-based framework supporting collaborative knowledge management within biomedical communities

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