Description

Book Synopsis

.- Combining EEG oscillation analysis and explainable artificial intelligence for characterizing visuospatial attention.
.- Fully automatic meningioma segmentation with nnUNet using T1-weighted contrast-enhanced MR images by leveraging publicly available data and different types of annotations.
.- Multimodal Shannon Game with Images.
.- On the Role of Activation Functions in EEG-To-Text Decoder.
.- INVISIONS: Innovative Neuromorphic Vision Sensors in real-scenarios.
.- Path-weight-based Pruning and SHAP-based Explanations of an ANN with fMRI Data.
.- Deep learning in a bilateral brain with hemispheric specialisation.
.- A compact convolutional neural network for decoding EEG functional connectivity: application to motor imagery.
.- Inference of Abstraction for Human-like Probabilistic Reasoning.
.- Conformal Prediction for Uncertainty Quantification in Brain Age Estimation using Random Forests Quantile Regression on MRI Features of the HCP Young Adult.
.- Emotional Reactions To AI-generated Images: A Pilot Study Using Neuro physiological Measures.
.- Exploring Deep Learning Models for EEG Neural Decoding.
.- Transfer Learning for the Cognitive Staging Prediction in Alzheimer's Disease.
.- Inference of Abstraction for Human-like Logical Reasoning.
.- Sequence Learning with Analog Neuromorphic Multi-Compartment Neurons and On-Chip Structural STDP.
.- Understanding Sleep Dynamics Gathered from Wearable Devices with Ex plainable Recurrent Neural Networks.
.- Brain morphometry differences across sexes revealed through Explainable Artificial Intelligence: a Human Connectome Project Young Adult study.
.- Left/Right brain, human motor control and the implications for robotics.
.- Predicting Psychological Well-being in HCP Young Adult Cohort using Ran dom Forests Regression and SHAP with NIHTB Emotion Battery.

Machine Learning Optimization and Data Science

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    Order before 4pm today for delivery by Mon 15 Jun 2026.

    A Paperback by Giuseppe Nicosia

    15 in stock


      View other formats and editions of Machine Learning Optimization and Data Science by Giuseppe Nicosia

      Publisher: Springer
      Publication Date: 07/03/2025
      ISBN13: 9783031824869, 978-3031824869
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      .- Combining EEG oscillation analysis and explainable artificial intelligence for characterizing visuospatial attention.
      .- Fully automatic meningioma segmentation with nnUNet using T1-weighted contrast-enhanced MR images by leveraging publicly available data and different types of annotations.
      .- Multimodal Shannon Game with Images.
      .- On the Role of Activation Functions in EEG-To-Text Decoder.
      .- INVISIONS: Innovative Neuromorphic Vision Sensors in real-scenarios.
      .- Path-weight-based Pruning and SHAP-based Explanations of an ANN with fMRI Data.
      .- Deep learning in a bilateral brain with hemispheric specialisation.
      .- A compact convolutional neural network for decoding EEG functional connectivity: application to motor imagery.
      .- Inference of Abstraction for Human-like Probabilistic Reasoning.
      .- Conformal Prediction for Uncertainty Quantification in Brain Age Estimation using Random Forests Quantile Regression on MRI Features of the HCP Young Adult.
      .- Emotional Reactions To AI-generated Images: A Pilot Study Using Neuro physiological Measures.
      .- Exploring Deep Learning Models for EEG Neural Decoding.
      .- Transfer Learning for the Cognitive Staging Prediction in Alzheimer's Disease.
      .- Inference of Abstraction for Human-like Logical Reasoning.
      .- Sequence Learning with Analog Neuromorphic Multi-Compartment Neurons and On-Chip Structural STDP.
      .- Understanding Sleep Dynamics Gathered from Wearable Devices with Ex plainable Recurrent Neural Networks.
      .- Brain morphometry differences across sexes revealed through Explainable Artificial Intelligence: a Human Connectome Project Young Adult study.
      .- Left/Right brain, human motor control and the implications for robotics.
      .- Predicting Psychological Well-being in HCP Young Adult Cohort using Ran dom Forests Regression and SHAP with NIHTB Emotion Battery.

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