Andrea Ferrario

Dep. Management, Technology, and Economics ETH Zurich

Zurich

Switzerland

Mobiliar Lab for Analytics at ETH

Scientific Director

Zürich, 8092

Switzerland

  • Dep. Management, Technology, and Economics ETH Zurich

  • Mobiliar Lab for Analytics at ETH

SCHOLARLY PAPERS

4

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Scholarly Papers (4)

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1.

Insights from Inside Neural Networks

Number of pages: 52 Posted: 19 Aug 2018 Last Revised: 14 Nov 2018
Andrea Ferrario, Alexander Noll and Mario V. Wuthrich
Dep. Management, Technology, and Economics ETH Zurich, PartnerRe Ltd - PartnerRe Holdings Europe Limited and RiskLab, ETH Zurich
Downloads 857 (28,584)
Citation 2

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Neural Networks, Architecture, Over-Fitting, Loss Function, Dropout, Regularization, LASSO, Ridge, Gradient Descent, Class Imbalance, Car Insurance, Claims Frequency, Poisson Regression Model, Machine Learning, Deep Learning

2.

On Boosting: Theory and Applications

Number of pages: 39 Posted: 20 Jun 2019
Andrea Ferrario and Roger Hämmerli
Dep. Management, Technology, and Economics ETH Zurich and Schweizerische Mobiliar Versicherungsgesellschaft
Downloads 263 (121,983)
Citation 1

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machine learning, boosting, predictive modeling, R, Python, car insurance, Kaggle, Porto Seguro, AdaBoost, XGBoost

3.

The Art of Natural Language Processing: Classical, Modern and Contemporary Approaches to Text Document Classification

Number of pages: 51
Andrea Ferrario and Mara Naegelin
Dep. Management, Technology, and Economics ETH Zurich and Mobiliar Lab for Analytics at ETH
Downloads 86

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natural language processing, bag-of-words models, word embeddings, machine learning, recurrent neural networks, deep learning, Python, Tensorflow 2.0, Keras

4.

Transparency As Design Publicity: Explaining and Justifying Inscrutable Algorithms

Number of pages: 20 Posted: 20 Jun 2019
Michele Loi, Andrea Ferrario and Eleonora Viganò
University of Zurich, Dep. Management, Technology, and Economics ETH Zurich and University of Zurich - Institute for Biomedical Ethics and the History of Medicine
Downloads 54 (396,292)
Citation 1

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algorithms, transparency, interpretability, explanation, justification, AI