Andrea Apicella - Publications, H-index & Citations

Andrea Apicella

information engineering

17H指数

87论文数

1.5K被引数

收录论文 25

发表时间

IMPACTX: improving model performance by appropriately constraining the training with teacher explanations IMPACTX：通过适当地约束教师解释来训练模型以改进模型性能

Artificial Intelligence Review

IF13.9

2026-04-16

OAAI

Andrea Apicella; Salvatore Giugliano; Francesco Isgró; Andrea Pollastro; Roberto Prevete

Energy consumption assessment in embedded AI: Metrological improvements of benchmarks for edge devices

COMPUTER STANDARDS & INTERFACES

IF3.1

2026-01-21

OAAI

Apicella, Andrea; Arpaia, Pasquale; Capobianco, Luigi; Caputo, Francesco; Cioffi, Antonella; Esposito, Antonio; Isgro, Francesco; Manzo, Rosanna; Moccaldi, Nicola; Pau, Danilo; Toscano, Ettore

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

Artificial Intelligence Review

IF13.9

2025-08-20

OAAI

Andrea Apicella; Francesco Isgrò; Roberto Prevete

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

COMPUTER STANDARDS & INTERFACES

IF3.1

2025-03-01

OAAI

Criscuolo, Sabatina; Apicella, Andrea; Prevete, Roberto; Longo, Luca

Real-Time Detection of Skin-Electrode Adhesion Based on Embedded Neural Networks for Bioimpedance Spectroscopy 基于嵌入式神经网络的生物阻抗频谱皮肤电极粘附实时检测

IEEE Access

IF3.6

2025-01-01

OAAI

Rosanna Manzo; Andrea Apicella; Pasquale Arpaia; Francesco Caputo; and Nicola Moccaldi

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

NEUROCOMPUTING

IF6.5

2024-11-01

OAAI

Apicella, Andrea; Arpaia, Pasquale; D'Errico, Giovanni; Marocco, Davide; Mastrati, Giovanna; Moccaldi, Nicola; Prevete, Roberto

Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis

SENSORS

IF3.5

2024-09-21

OAAI

Frosolone, Mirco; Prevete, Roberto; Ognibeni, Lorenzo; Giugliano, Salvatore; Apicella, Andrea; Pezzulo, Giovanni; Donnarumma, Francesco

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

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

IF6.8

2024-05-01

OAAI

Annuzzi, Giovanni; Apicella, Andrea; Arpaia, Pasquale; Bozzetto, Lutgarda; Criscuolo, Sabatina; De Benedetto, Egidio; Pesola, Marisa; Prevete, Roberto

Domain Adaptation for Fear of Heights Classification in a VR Environment Based on EEG and ECG

INFORMATION SYSTEMS FRONTIERS

IF8.3

2024-04-12

OAAI

Apicella, Andrea; Arpaia, Pasquale; Barbato, Simone; D'Errico, Giovanni; Mastrati, Giovanna; Moccaldi, Nicola; Vallefuoco, Ersilia; Wriessnegger, Selina Christin

Hidden classification layers: Enhancing linear separability between classes in neural networks layers

PATTERN RECOGNITION LETTERS

IF3.3

2024-01-01

OAAI

Apicella, Andrea; Isgro, Francesco; Prevete, Roberto

Adaptive filters in Graph Convolutional Neural Networks 图卷积神经网络中的自适应滤波器

PATTERN RECOGNITION

IF7.6

2023-12-01

OAAI

Apicella, Andrea; Isgro, Francesco; Pollastro, Andrea; Prevete, Roberto

Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning

IEEE ACCESS

IF3.6

2023-01-01

OAAI

Annuzzi, Giovanni; Apicella, Andrea; Arpaia, Pasquale; Bozzetto, Lutgarda; Criscuolo, Sabatina; De Benedetto, Egidio; Pesola, Marisa; Prevete, Roberto; Vallefuoco, Ersilia

Employment of Domain Adaptation Techniques in SSVEP-Based Brain-Computer Interfaces

IEEE ACCESS

IF3.6

2023-01-01

OAAI

Apicella, Andrea; Arpaia, Pasquale; De Benedetto, Egidio; Donato, Nicola; Duraccio, Luigi; Giugliano, Salvatore; Prevete, Roberto

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

KNOWLEDGE-BASED SYSTEMS

IF7.6

2022-11-01

OAAI

Apicella, Andrea; Giugliano, Salvatore; Isgro, Francesco; Prevete, Roberto