Pharmacovigilance Volume 2

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Statistical Analysis of Networks by Avrachenkov, Konstantin

Subjects: “…Network analysis, statistical analysis, network modeling, community detection, graph-based semi-supervised learning, sampling in networks…”
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Statistical Analysis of Networks by Avrachenkov, Konstantin

Subjects: “…Network analysis, statistical analysis, network modeling, community detection, graph-based semi-supervised learning, sampling in networks…”
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Self-Supervised Learning for Visual Obstacle Avoidance Technical report by van Dijk, Tom

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Convex Optimization for Machine Learning by Suh, Changho

Subjects: “…Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography…”
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Convex Optimization for Machine Learning by Suh, Changho

Subjects: “…Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography…”
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Learning to Quantify by Esuli, Andrea

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Learning to Quantify by Esuli, Andrea

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Chapter AI for Improving the Overall Equipment Efficiency in Manufacturing Industry by Echeverria, Lluis

Subjects: “…machine learning, supervised learning, unsupervised learning, classification, regression, ensembles, artificial intelligence, data mining, data-driven, industry 4.0, smart manufacturing, cyber-physical systems, predictive analytics…”
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Chapter AI for Improving the Overall Equipment Efficiency in Manufacturing Industry by Echeverria, Lluis

Subjects: “…machine learning, supervised learning, unsupervised learning, classification, regression, ensembles, artificial intelligence, data mining, data-driven, industry 4.0, smart manufacturing, cyber-physical systems, predictive analytics…”
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Information Theory for Data Science by Suh, Changho

Subjects: “…Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow…”
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Information Theory for Data Science by Suh, Changho

Subjects: “…Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow…”
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Artificial Intelligence and Ambient Intelligence

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Elements of Causal Inference Foundations and Learning Algorithms by Peters, Jonas

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Logic and Computation

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Advances in Intelligent Data Analysis XVIII 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings

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Advances in Intelligent Data Analysis XVIII 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings

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Image and Video Processing and Recognition Based on Artificial Intelligence (Volume II)

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Multi-Sensory Interaction for Blind and Visually Impaired People

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Genomics and Models of Nerve Sheath Tumors

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