Experienced mental workload, perception of usability, their interaction and impact on task performance von Longo, Luca

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Modeling Cognitive Load as a Self-Supervised Brain Rate with Electroencephalography and Deep Learning von Longo, Luca

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Classification of Explainable Artificial Intelligence Methods through Their Output Formats von Vilone, Giulia, Longo, Luca

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An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload von Raufi, Bujar, Longo, Luca

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Human Mental Workload: A Survey and a Novel Inclusive Definition von Longo, Luca, Wickens, Christopher D., Hancock, Gabriella, Hancock, P. A.

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A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods von Vilone, Giulia, Longo, Luca

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Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices von Grover, Nitin, Chharia, Aviral, Upadhyay, Rahul, Longo, Luca

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Artificial Intelligence and Cognitive Science: 30th Irish Conference, AICS 2022, Munster, Ireland, December 8–9, 2022, Revised Selected Papers von Longo, Luca, O'Reilly, Ruairi

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Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands von Ahmed, Taufique, Longo, Luca

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On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps von Chikkankod, Arjun Vinayak, Longo, Luca

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Notions of explainability and evaluation approaches for explainable artificial intelligence von Vilone, Giulia, Longo, Luca

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Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibil... von Ahmed, Taufique, Longo, Luca

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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 von Raufi, Bujar, Longo, Luca

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A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer's Disease with Electroencephalography in Resting-State Adults von Lal, Utkarsh, Chikkankod, Arjun Vinayak, Longo, Luca

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Novel Emerging Molecular Targets in Non-Small Cell Lung Cancer von Rebuzzi, Sara Elena, Zullo, Lodovica, Rossi, Giovanni, Grassi, Massimiliano, Murianni, Veronica, Tagliamento, Marco, Prelaj, Arsela, Coco, Simona, Longo, Luca, Dal Bello, Maria Giovanna, Alama, Angela, Dellepiane, Chiara, Bennicelli, Elisa, Malapelle, Umberto, Genova, Carlo

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Identification of ALK as a major familial neuroblastoma predisposition gene von Mossé, Yaël P., Laudenslager, Marci, Longo, Luca, Cole, Kristina A., Wood, Andrew, Attiyeh, Edward F., Laquaglia, Michael J., Sennett, Rachel, Lynch, Jill E., Perri, Patrizia, Laureys, Geneviève, Speleman, Frank, Kim, Cecilia, Hou, Cuiping, Hakonarson, Hakon, Torkamani, Ali, Schork, Nicholas J., Brodeur, Garrett M., Tonini, Gian P., Rappaport, Eric, Devoto, Marcella, Maris, John M.

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A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers von Mekonnen, Ephrem Tibebe, Longo, Luca, Dondio, Pierpaolo

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How Visual Stimuli Evoked P300 is Transforming the Brain-Computer Interface Landscape: A PRISMA Compliant Systematic Review von Kalra, Jai, Mittal, Prashasti, Mittal, Nirmiti, Arora, Abhishek, Tewari, Utkarsh, Chharia, Aviral, Upadhyay, Rahul, Kumar, Vinay, Longo, Luca

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A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI von Rizzo, Lucas, Verda, Damiano, Berretta, Serena, Longo, Luca

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On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications von Gómez-Tapia, Carlos, Bozic, Bojan, Longo, Luca

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