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R

Roberto Prevete

electrical engineering and information technology

22H指数
123论文数
2.0K被引数
收录论文 28
发表时间
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IMPACTX: improving model performance by appropriately constraining the training with teacher explanationsIMPACTX：通过适当地约束教师解释来训练模型以改进模型性能
errArtificial Intelligence Review
IF13.9
err2026-04-16
err0
errOAAI
errAndrea Apicella; Salvatore Giugliano; Francesco Isgró; Andrea Pollastro; Roberto Prevete
err分享
err收藏
Don’t push the button! Exploring data leakage risks in machine learning and transfer learning不要按按钮！探索机器学习和迁移学习中的数据泄露风险
errArtificial Intelligence Review
IF13.9
err2025-08-20
err0
errOAAI
errAndrea Apicella; Francesco Isgrò; Roberto Prevete
err分享
err收藏
Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals解释用于EEG信号中半自动眨眼伪像检测的卷积变分自动编码器的潜在空间
errCOMPUTER STANDARDS & INTERFACES
IF3.1
err2025-03-01
err1
errOAAI
errCriscuolo, Sabatina; Apicella, Andrea; Prevete, Roberto; Longo, Luca
err分享
err收藏
Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods基于EEG的情绪识别中的跨主题和跨会话泛化: 系统综述，分类学和方法
errNEUROCOMPUTING
IF6.5
err2024-11-01
err1
errOAAI
errApicella, Andrea; Arpaia, Pasquale; D'Errico, Giovanni; Marocco, Davide; Mastrati, Giovanna; Moccaldi, Nicola; Prevete, Roberto
err分享
err收藏
Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis
errSENSORS
IF3.5
err2024-09-21
err0
errOAAI
errFrosolone, Mirco; Prevete, Roberto; Ognibeni, Lorenzo; Giugliano, Salvatore; Apicella, Andrea; Pezzulo, Giovanni; Donnarumma, Francesco
err分享
err收藏
Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI使用可解释的AI探索营养对1型糖尿病血糖预测的影响
errIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
IF6.8
err2024-05-01
err3
errOAAI
errAnnuzzi, Giovanni; Apicella, Andrea; Arpaia, Pasquale; Bozzetto, Lutgarda; Criscuolo, Sabatina; De Benedetto, Egidio; Pesola, Marisa; Prevete, Roberto
err分享
err收藏
Dynamic identification methods and artificial intelligence algorithms for damage detection of masonry infills
errJOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
IF4.3
err2024-04-11
err3
errOAAI
errDe Angelis, Alessandra; Bilotta, Antonio; Pecce, Maria Rosaria; Pollastro, Andrea; Prevete, Roberto
err分享
err收藏
Hidden classification layers: Enhancing linear separability between classes in neural networks layers
errPATTERN RECOGNITION LETTERS
IF3.3
err2024-01-01
err1
errOAAI
errApicella, Andrea; Isgro, Francesco; Prevete, Roberto
err分享
err收藏
Adaptive filters in Graph Convolutional Neural Networks图卷积神经网络中的自适应滤波器
errPATTERN RECOGNITION
IF7.6
err2023-12-01
err9
errOAAI
errApicella, Andrea; Isgro, Francesco; Pollastro, Andrea; Prevete, Roberto
err分享
err收藏
Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine使用变分自动编码器和一类支持向量机对结构损伤进行半监督检测
errIEEE ACCESS
IF3.6
err2023-01-01
err13
errOAAI
errPollastro, Andrea; Testa, Giusiana; Bilotta, Antonio; Prevete, Roberto
err分享
err收藏
Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning
errIEEE ACCESS
IF3.6
err2023-01-01
err6
errOAAI
errAnnuzzi, Giovanni; Apicella, Andrea; Arpaia, Pasquale; Bozzetto, Lutgarda; Criscuolo, Sabatina; De Benedetto, Egidio; Pesola, Marisa; Prevete, Roberto; Vallefuoco, Ersilia
err分享
err收藏
Employment of Domain Adaptation Techniques in SSVEP-Based Brain-Computer Interfaces
errIEEE ACCESS
IF3.6
err2023-01-01
err8
errOAAI
errApicella, Andrea; Arpaia, Pasquale; De Benedetto, Egidio; Donato, Nicola; Duraccio, Luigi; Giugliano, Salvatore; Prevete, Roberto
err分享
err收藏
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems利用自动编码器和分割方法对图像分类系统进行中层解释
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2022-11-01
err5
errOAAI
errApicella, Andrea; Giugliano, Salvatore; Isgro, Francesco; Prevete, Roberto
err分享
err收藏
Assessment of blood perfusion quality in laparoscopic colorectal surgery by means of Machine Learning
errSCIENTIFIC REPORTS
IF3.9
err2022-08-29
err15
errOAAI
errArpaia, Pasquale; Bracale, Umberto; Corcione, Francesco; De Benedetto, Egidio; Di Bernardo, Alessandro; Di Capua, Vincenzo; Duraccio, Luigi; Peltrini, Roberto; Prevete, Roberto
err分享
err收藏
Enhancement of SSVEPs Classification in BCI-Based Wearable Instrumentation Through Machine Learning Techniques
errIEEE SENSORS JOURNAL
IF4.5
err2022-05-01
err28
PREAI
errApicella, Andrea; Arpaia, Pasquale; De Benedetto, Egidio; Donato, Nicola; Duraccio, Luigi; Giugliano, Salvatore; Prevete, Roberto
err分享
err收藏
A survey on modern trainable activation functions
errNEURAL NETWORKS
IF6.3
err2021-06-01
err282
errOAAI
errApicella, Andrea; Donnarumma, Francesco; Isgro, Francesco; Prevete, Roberto
err分享
err收藏
Conceptual design of a machine learning-based wearable soft sensor for non-invasive cardiovascular risk assessment
errMEASUREMENT
IF5.6
err2021-02-01
err14
PREAI
errArpaia, Pasquale; Cuocolo, Renato; Donnarumma, Francesco; Esposito, Antonio; Moccaldi, Nicola; Natalizio, Angela; Prevete, Roberto
err分享
err收藏
A framework to identify structured behavioral patterns within rodent spatial trajectories
errSCIENTIFIC REPORTS
IF3.9
err2021-01-11
err5
errOAAI
errDonnarumma, Francesco; Prevete, Roberto; Maisto, Domenico; Fuscone, Simone; Irvine, Emily M.; van der Meer, Matthijs A. A.; Kemere, Caleb; Pezzulo, Giovanni
err分享
err收藏
A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis
errIEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
IF5.9
err2020-10-01
err81
PREAI
errArpaia, Pasquale; Moccaldi, Nicola; Prevete, Roberto; Sannino, Isabella; Tedesco, Annarita
err分享
err收藏
Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods
errINTERNATIONAL JOURNAL OF NEURAL SYSTEMS
IF6.4
err2020-07-14
err14
errOAAI
errApicella, A.; Isgro, F.; Prevete, R.; Tamburrini, G.
err分享
err收藏

研究方向

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