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Guido Bologna
The explainability of connectionist models is nowadays an ongoing research issue. Before the advent of deep learning, propositional rules were generated from Multi Layer Perceptrons (MLPs) to explain how they classify data. This type of explanation techn...
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Abir Mahmud, Mustafa Md Wasif, Hridoy Roy, Fareen Mehnaz, Tasnim Ahmed, Md. Nahid Pervez, Vincenzo Naddeo and Md. Shahinoor Islam
Microplastics? dangers and the absence of effective regulation technologies have risen to prominence as a worldwide issue in recent years. South Asian countries, such as Bangladesh, are among the most threatened nations to face the drastic consequence of...
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Djamel Saba, Abdelkader Hadidi, Omar Cheikhrouhou, Monia Hamdi and Habib Hamam
With the sudden emergence of many dangerous viruses in recent years and with their rapid transmission and danger to individuals, most countries have adopted several strategies, such as closure and social distancing, to control the spread of the virus in ...
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Rawan Ghnemat
Diabetic retinopathy (DR) is an increasingly common eye disorder that gradually damages the retina. Identification at the early stage can significantly reduce the severity of vision loss. Deep learning techniques provide detection for retinal images base...
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Guido Bologna
In machine learning, ensembles of models based on Multi-Layer Perceptrons (MLPs) or decision trees are considered successful models. However, explaining their responses is a complex problem that requires the creation of new methods of interpretation. A n...
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