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07/18/2023
Interpretable Timbre Synthesis using Variational Autoencoders Regularized on Timbre Descriptors
Controllable timbre synthesis has been a subject of research for several...
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06/27/2023
A novel structured argumentation framework for improved explainability of classification tasks
This paper presents a novel framework for structured argumentation, name...
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01/18/2023
An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms
In audio processing applications, the generation of expressive sounds ba...
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09/21/2022
Modeling cognitive load as a self-supervised brain rate with electroencephalography and deep learning
The principal reason for measuring mental workload is to quantify the co...
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06/28/2022
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts
Dealing with uncertain, contradicting, and ambiguous information is stil...
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02/24/2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review
Advocates for Neuro-Symbolic AI (NeSy) assert that combining deep learni...
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02/22/2022
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload
Many research works indicate that EEG bands, specifically the alpha and ...
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03/19/2021
Weakly Complete Semantics Based on Undecidedness Blocking
In this paper we introduce a novel family of semantics called weakly com...
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05/29/2020
Explainable Artificial Intelligence: a Systematic Review
Explainable Artificial Intelligence (XAI) has experienced a significant ...
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12/20/2017
