Combining Graph Analysis and Recurrence Plot on fMRI data. - Angela Lombardi; Pietro Guccione; Luigi Mascolo; Paolo Taurisano; Leonardo Fazio; Giovanni Nico (MeMeA, 2015)

Assessment of seasonal variations of radar backscattering coefficient using sentinel-1 data. - Pietro Guccione; Angela Lombardi; Rossella Giordano (IGARSS, 2016)

Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods. - Roberto Bellotti; Angela Lombardi; Cataldo Guaragnella; Nicola Amoroso; Andrea Tateo; Sabina Tangaro (BrainLes@MICCAI, 2016)

Identification of "Die Hard" Nodes in Complex Networks: A Resilience Approach. - Angela Lombardi; Sabina Tangaro; Roberto Bellotti; Angelo Cardellicchio; Cataldo Guaragnella (WIVACE, 2017)

A Novel Synchronization-Based Approach for Functional Connectivity Analysis. - Angela Lombardi; Sabina Tangaro; Roberto Bellotti; Alessandro Bertolino; Giuseppe Blasi; Giulio Pergola; Paolo Taurisano; Cataldo Guaragnella (Complex., 2017)

A Quartz Crystal Microbalance Immunosensor for Stem Cell Selection and Extraction. - Ornella Maglio; Salvatore Costanzo; Rosaria Cercola; Gerardo Zambrano; Marco Mauro; Raffaele Battaglia; Gianluca Ferrini; Flavia Nastri; Vincenzo Pavone; Angela Lombardi (Sensors, 2017)

Age Related Topological Analysis of Synchronization-Based Functional Connectivity. - Angela Lombardi; Nicola Amoroso; Domenico Diacono; Eufemia Lella; Roberto Bellotti; Sabina Tangaro (COMPLEX NETWORKS (2), 2018)

Multidimensional Neuroimaging Processing in ReCaS Datacenter. - Angela Lombardi; Eufemia Lella; Nicola Amoroso; Domenico Diacono; Alfonso Monaco; Roberto Bellotti; Sabina Tangaro (IDCS, 2019)

Communicability disruption in Alzheimer's disease connectivity networks. - Eufemia Lella; Nicola Amoroso; Angela Lombardi; Tommaso Maggipinto; Sabina Tangaro; Roberto Bellotti; Alzheimer's Disease Neuroimaging Initiative (J. Complex Networks, 2019)

Communicability Characterization of Structural DWI Subcortical Networks in Alzheimer's Disease. - Eufemia Lella; Nicola Amoroso; Domenico Diacono; Angela Lombardi; Tommaso Maggipinto; Alfonso Monaco; Roberto Bellotti; Sabina Tangaro (Entropy, 2019)

Modelling cognitive loads in schizophrenia by means of new functional dynamic indexes. - Angela Lombardi; Cataldo Guaragnella; Nicola Amoroso; Alfonso Monaco; Leonardo Fazio; Paolo Taurisano; Giulio Pergola; Giuseppe Blasi; Alessandro Bertolino; Roberto Bellotti; Sabina Tangaro (NeuroImage, 2019)

Use of an Artificial Miniaturized Enzyme in Hydrogen Peroxide Detection by Chemiluminescence. - Gerardo Zambrano; Flavia Nastri; Vincenzo Pavone; Angela Lombardi; Marco Chino (Sensors, 2020)

Predicting brain age with complex networks: From adolescence to adulthood. - Loredana Bellantuono; Luca Marzano; Marianna La Rocca; Dominique Duncan; Angela Lombardi; Tommaso Maggipinto; Alfonso Monaco; Sabina Tangaro; Nicola Amoroso; Roberto Bellotti (NeuroImage, 2021)

Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework. - Loredana Bellantuono; Alfonso Monaco; Nicola Amoroso; Vincenzo Aquaro; Angela Lombardi; Sabina Tangaro; Roberto Bellotti (Appl. Netw. Sci., 2022)

A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease. - Angela Lombardi; Domenico Diacono; Nicola Amoroso; Przemyslaw Biecek; Alfonso Monaco; Loredana Bellantuono; Ester Pantaleo; Giancarlo Logroscino; Roberto De Blasi; Sabina Tangaro; Roberto Bellotti (Brain Informatics, 2022)

Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023. - Angela Lombardi; Maria Luigia Natalia De Bonis; Giuseppe Fasano; Alessia Sportelli; Tommaso Colafiglio; Domenico Lofù; Paolo Sorino; Fedelucio Narducci; Eugenio Di Sciascio; Tommaso Di Noia (CLEF (Working Notes), 2023)

Predicting Human Emotions using EEG-based Brain computer Interface and Interpretable Machine Learning. - Tommaso Colafiglio; Paolo Sorino; Angela Lombardi; Domenico Lofù; Tommaso Di Noia (Ital-IA, 2023)

Combining Mental States Recognition and Machine Learning for Neurorehabilitation. - Tommaso Colafiglio; Paolo Sorino; Domenico Lofù; Angela Lombardi; Fedelucio Narducci; Tommaso Di Noia (SMC, 2023)

A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis. - Angela Lombardi; Francesca Arezzo; Eugenio Di Sciascio; Carmelo Ardito; Michele Mongelli; Nicola Di Lillo; Fabiana Divina Fascilla; Erica Silvestris; Anila Kardhashi; Carmela Putino; Ambrogio Cazzolla; Vera Loizzi; et al. (Artif. Intell. Medicine, 2023)

BRAINEX: A Systematic Framework for CNN Models Evaluation and XAI Methods Comparison in Brain Age Prediction. - Giuseppe Fasano; Maria Luigia Natalia De Bonis; Angela Lombardi; Carmelo Ardito; Eugenio Di Sciascio; Tommaso Di Noia (BI (1), 2024)

Intuitiveness and Trustworthiness of AI-Powered Interfaces for Neurological Diagnosis - Preliminary Results. - Angela Lombardi; Sofia Marzo; Eugenio Di Sciascio; Tommaso Di Noia; Carmelo Ardito (HCSE, 2024)

Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer Interface. - Carmelo Ardito; Tommaso Colafiglio; Tommaso Di Noia; Angela Lombardi; Domenico Lofù; Fedelucio Narducci; Paolo Sorino (ICWE Workshops, 2024)

Integrating eXplainable AI in Healthcare: A Web Application Framework for Advancing the One Health Paradigm. - Danilo Danese; Tommaso Di Noia; Angela Lombardi; Domenico Lofù; Fatemeh Nazary; Rodolfo Sardone; Paolo Sorino (ICWE Workshops, 2024)

An Explainable Machine Learning Approach for Heartbeat Classification Through Signal-Based Features. - Paolo Sorino; Gianluca Colonna; Domenico Lofù; Tommaso Colafiglio; Angela Lombardi; Fedelucio Narducci; Tommaso Di Noia (SMC, 2024)

EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface. - Tommaso Colafiglio; Domenico Lofù; Paolo Sorino; Angela Lombardi; Fedelucio Narducci; Fabrizio Festa; Tommaso Di Noia (UMAP (Adjunct Publication), 2024)

Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM). - Tommaso Colafiglio; Tommaso Di Noia; Domenico Lofù; Angela Lombardi; Fedelucio Narducci; Paolo Sorino (UMAP (Adjunct Publication), 2024)

Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis. - Angela Lombardi; Sofia Marzo; Tommaso Di Noia; Eugenio Di Sciascio; Carmelo Ardito (UMAP (Adjunct Publication), 2024)

ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation. - Paolo Sorino; Giovanni Maria Biancofiore; Domenico Lofù; Tommaso Colafiglio; Angela Lombardi; Fedelucio Narducci; Tommaso Di Noia (UMAP (Adjunct Publication), 2024)

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. - Tommaso Colafiglio; Angela Lombardi; Paolo Sorino; Elvira Brattico; Domenico Lofù; Danilo Danese; Eugenio Di Sciascio; Tommaso Di Noia; Fedelucio Narducci (IEEE Access, 2024)

MetalHawk: Enhanced Classification of Metal Coordination Geometries by Artificial Neural Networks. - Gianmattia Sgueglia; Michail D. Vrettas; Marco Chino; Alfonso De Simone; Angela Lombardi (J. Chem. Inf. Model., 2024)

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. - Tommaso Colafiglio; Angela Lombardi; Paolo Sorino; Elvira Brattico; Domenico Lofù; Danilo Danese; Eugenio Di Sciascio; Tommaso Di Noia; Fedelucio Narducci (Zenodo, 2024)

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. - Tommaso Colafiglio; Angela Lombardi; Paolo Sorino; Elvira Brattico; Domenico Lofù; Danilo Danese; Eugenio Di Sciascio; Tommaso Di Noia; Fedelucio Narducci (Zenodo, 2024)

Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines. - Maria Luigia Natalia De Bonis; Giuseppe Fasano; Angela Lombardi; Carmelo Ardito; Antonio Ferrara 001; Eugenio Di Sciascio; Tommaso Di Noia (Brain Informatics, 2024)

Neural Musical Instruments through Brain-Computer Interface and Biofeedback. - Tommaso Colafiglio; Domenico Lofù; Paolo Sorino; Angela Lombardi; Fedelucio Narducci; Tommaso Di Noia (UMAP (Adjunct Publication), 2025)

WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling. - Domenico Lofù; Paolo Sorino; Tommaso Colafiglio; Angela Lombardi; Tommaso Di Noia; Fedelucio Narducci (UMAP (Adjunct Publication), 2025)

Machine learning classification of motivational states: Insights from EEG analysis of perception and imagery. - Tommaso Colafiglio; Angela Lombardi; Tommaso Di Noia; Maria Luigia Natalia De Bonis; Fedelucio Narducci; Alice Mado Proverbio (Expert Syst. Appl., 2025)

Detecting label noise in longitudinal Alzheimer's data with explainable artificial intelligence. - Paolo Sorino; Angela Lombardi; Domenico Lofù; Tommaso Colafiglio; Antonio Ferrara 001; Fedelucio Narducci; Eugenio Di Sciascio; Tommaso Di Noia (Brain Informatics, 2025)