What are the trade-offs between model accuracy and explainability? How does the concept of self-supervised learning bridge the gap between supervised and unsupervised learning in deep learning?

Oct 21, 2021 ... We compare the cross-validated predictive performance of our proposed deep learning ... information on sepsis predictions using machine learning ... Cutting-edge AI skills for business. STEM-designated program covers machine learning, deep learning, cloud computing, and IT management for AI-driven ... The major differences between the approaches based on the aforementioned steps were given by the design choice around combining spatio-temporal information. Jan 17, 2022 ... (2012) who achieved a new state of the art in image classification by using deep neural networks to automatically learn informative features ... Feb 7, 2024 ... A multi-layer perceptron (MLP) is a type of artificial neural network consisting of multiple layers of neurons. Third, large music collections contain different modalities of information, i.e., audio, images, and text, and all these data are suitable to be exploited for ... Recently proposed evidential neural networks ex- plicitly account for different uncertainties by treat- ing the network's outputs as evidence to parame- terize ... Nov 22, 2024 ... However, while some biomarkers are crucial, many lack informative value. To enhance prediction accuracy and understand disease mechanisms, it is ... There is an important challenge in systematically interpreting the internal representations of deep neural networks (DNNs). Existing techniques are often ... Jul 7, 2023 ... predicted tumour types with a support vector machine using information on somatically mutated genes resulting in 49% accuracy in 28 tumour ...