RESEARCHER PROFILE
Cosimo Ieracitano
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University of Reggio Calabria
Cosimo Ieracitano works in EEG and Brain-Computer Interfaces, Emotion and Mood Recognition, Dementia and Cognitive Impairment Research, Muscle activation and electromyography studies, Gaze Tracking and Assistive Technology. Recorded institutional associations include University of Reggio Calabria, University of Naples Federico II.
91Publications
2,942Citations
26H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia
2019 · 329 citationsA Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings
2018 · 294 citationsA novel statistical analysis and autoencoder driven intelligent intrusion detection approach
2019 · 263 citationsA deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level
2020 · 156 citationsA fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images
2022 · 154 citationsDeep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings
2016 · 145 citationsA Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management
2018 · 130 citationsA novel explainable machine learning approach for EEG-based brain-computer interface systems
2021 · 111 citationsBrain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects
2018 · 98 citationsA novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers
2021 · 94 citationsPermutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects
2018 · 84 citationsTowards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder
2022 · 77 citationsAutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG
2023 · 70 citationsStatistical Analysis Driven Optimized Deep Learning System for Intrusion Detection
2018 · 65 citationsA Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources
2021 · 60 citationsAn explainable Artificial Intelligence approach to study MCI to AD conversion via HD-EEG processing
2021 · 60 citationsGeological Disaster Monitoring Based on Sensor Networks
2018 · 56 citationsA Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System
2020 · 51 citationsExploiting Deep Learning for Persian Sentiment Analysis
2018 · 46 citationsInformation Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures
2018 · 45 citationsA Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls
2021 · 44 citationsA Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect
2021 · 43 citationsGraph neural networks for electroencephalogram analysis: Alzheimer’s disease and epilepsy use cases
2024 · 39 citationsA Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing
2019 · 32 citationsA Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers
2022 · 31 citations