dr. Luca Longo

Technological University Dublin

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Articles (19)

Collaborators (8)

Timo Speith

Fixed-Term Assistant Professor

University of Bayreuth

M. Atif Qureshi

Technological University Dublin

Roberto Prevete

Assistant Professor

Università degli Studi di Napoli Federico II

Damiano Verda

Bujar Raufi

Technological University Dublin

Lucas Rizzo

Assistant Lecturer

Technological University Dublin

Arjun Vinayak Chikkankod

Associate Faculty Lecturer

National College of Ireland

Etain Kidney

Technological University Dublin

dr. Luca Longo

Research Interests

Explore related searches

Contact this professor

Articles (19)

Collaborators (8)

Timo Speith

M. Atif Qureshi

Roberto Prevete

Damiano Verda

Bujar Raufi

Lucas Rizzo

Arjun Vinayak Chikkankod

Etain Kidney

How do I reach out?

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dr. Luca Longo

Research Interests

Explore related searches

Contact this professor

Articles (19)

Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals

Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios

A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer’s Disease with Electroencephalography in Resting-State Adults

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts

Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility

How Visual Stimuli Evoked P300 is Transforming the Brain–Computer Interface Landscape: A PRISMA Compliant Systematic Review

Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices

Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations

Data Quality Assessment and Recommendation of Feature Selection Algorithms: An Ontological Approach

Modeling Cognitive Load as a Self-Supervised Brain Rate with Electroencephalography and Deep Learning

Human Mental Workload: A Survey and a Novel Inclusive Definition.

An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload.

On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications.

Evaluating instructional designs with mental workload assessments in university classrooms

Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands

On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps

Collaborators (8)

Timo Speith

M. Atif Qureshi

Roberto Prevete

Damiano Verda

Bujar Raufi

Lucas Rizzo

Arjun Vinayak Chikkankod

Etain Kidney

How do I reach out?

Meet Kite AI