Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2024; 33rd International C Michael Wand,Kristína Malinovská,Igor V. Tetko Conferenc

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Longterm Consequences of Child Maltreatmentomous approach contributes to creating a new dataset that will aid in the diagnosis made by healthcare professionals. This new dataset attained an average Structural Similarity Index Measure (SSIM) of 0.6 compared to images selected by expert radiologists. The paper also explores the model’s explain

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A Deep Learning Multi-omics Framework to Combine Microbiome and Metabolome Profiles for Disease Clasr disease classification. However, due to multi-omics data’s complex and high-dimensional nature, classical statistical methods struggle to capture the shared information between microbiome and metabolome. Deep learning represents a power framework to address this issue. We design a deep learning mo

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Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusionic diagnosis of depression, and the existing works suffer two main drawbacks: 1) the high-order interactions between different modalities can not be well exploited; and 2) interpretability of the models are weak. To remedy these drawbacks, we propose a multimodal multi-order factor fusion (MMFF) met