Explainable artificial intelligence: an analytical review
This paper provides a brief analytical review of the current state‐of‐the‐art in relation to the
explainability of artificial intelligence in the context of recent advances in machine learning …
explainability of artificial intelligence in the context of recent advances in machine learning …
Autonomous learning for fuzzy systems: a review
As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …
[HTML][HTML] Human and artificial cognition
Predictions of the timelines for when machines will be able to perform general cognitive
activities that rival humans, or even the arrival of “super intelligence”, range from years to …
activities that rival humans, or even the arrival of “super intelligence”, range from years to …
[PDF][PDF] The humans behind Artificial Intelligence–An operationalisation of AI competencies
Despite the importance of artificial intelligence (AI) proficiency as a determinant for AI
adoption, there remains a lack of empirical research studying competencies needed to …
adoption, there remains a lack of empirical research studying competencies needed to …
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues
A Parziale, R Senatore, A Della Cioppa… - Artificial intelligence in …, 2021 - Elsevier
In the last decades, early disease identification through non-invasive and automatic
methodologies has gathered increasing interest from the scientific community. Among …
methodologies has gathered increasing interest from the scientific community. Among …
A framework and benchmarking study for counterfactual generating methods on tabular data
RMB de Oliveira, D Martens - Applied Sciences, 2021 - mdpi.com
Counterfactual explanations are viewed as an effective way to explain machine learning
predictions. This interest is reflected by a relatively young literature with already dozens of …
predictions. This interest is reflected by a relatively young literature with already dozens of …
Simultaneous prediction of soil properties from VNIR-SWIR spectra using a localized multi-channel 1-D convolutional neural network
The use of visible near-infrared and shortwave-infrared (VNIR-SWIR) diffuse reflectance
spectroscopy for the estimation of soil properties is increasingly maturing with large-scale …
spectroscopy for the estimation of soil properties is increasingly maturing with large-scale …
Is ChatGPT competent? Heterogeneity in the cognitive schemas of financial auditors and robots
T Wei, H Wu, G Chu - International Review of Economics & Finance, 2023 - Elsevier
The constraints of ChatGPT, as an intelligent conversational robot, in mimicking complex
human activities have created doubts about its competence in the financial profession. Prior …
human activities have created doubts about its competence in the financial profession. Prior …
Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): Healthcare systems perspective
The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult due to …
(AI). Nevertheless, applying AI applications in scientific contexts is difficult due to …
Rough sets turn 40: From information systems to intelligent systems
The theory of rough sets was founded by Zdzisław Pawlak as a framework for data and
knowledge exploration. His seminal paper titled" Rough Sets" was published in 1982, in …
knowledge exploration. His seminal paper titled" Rough Sets" was published in 1982, in …