Andrea Ferrario

Dep. Management, Technology, and Economics ETH Zurich

Zurich

Switzerland

Mobiliar Lab for Analytics at ETH

Scientific Director

Zürich, 8092

Switzerland

SCHOLARLY PAPERS

8

DOWNLOADS
Rank 15,842

SSRN RANKINGS

Top 15,842

in Total Papers Downloads

4,467

SSRN CITATIONS
Rank 39,207

SSRN RANKINGS

Top 39,207

in Total Papers Citations

12

CROSSREF CITATIONS

7

Scholarly Papers (8)

1.

Insights from Inside Neural Networks

Number of pages: 64 Posted: 19 Aug 2018 Last Revised: 24 Apr 2020
Andrea Ferrario, Alexander Noll and Mario V. Wuthrich
Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH, PartnerRe Ltd - PartnerRe Holdings Europe Limited and RiskLab, ETH Zurich
Downloads 1,825 (12,882)
Citation 10

Abstract:

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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.

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

Number of pages: 51 Posted: 31 Mar 2020
Andrea Ferrario and Mara Naegelin
Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and Mobiliar Lab for Analytics at ETH
Downloads 1,043 (29,881)
Citation 5

Abstract:

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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

3.

On Boosting: Theory and Applications

Number of pages: 39 Posted: 20 Jun 2019
Andrea Ferrario and Roger Hämmerli
Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and Schweizerische Mobiliar Versicherungsgesellschaft
Downloads 782 (44,577)
Citation 5

Abstract:

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

4.

How Explainability Contributes to Trust in AI

2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22)
Number of pages: 10 Posted: 30 Jan 2022 Last Revised: 09 May 2022
Andrea Ferrario and Michele Loi
Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and Department of Mathematics, Politecnico di Milano
Downloads 262 (162,242)

Abstract:

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Artificial Intelligence, Explainable Artificial Intelligence, Trust, Healthcare, Trustworthiness, Ethics of Artificial Intelligence

5.

Explaining Interpretable Machine Learning: Theory, Methods and Applications

Number of pages: 87 Posted: 21 Jan 2021
Michaela Benk and Andrea Ferrario
ETH Zürich - Department of Management, Technology, and Economics (D-MTEC) and Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH
Downloads 230 (183,364)
Citation 2

Abstract:

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interpretable machine learning, explanation, interpretation, trust, trust in human-machine interactions, counterfactual explanations, Local Interpretable Model-agnostic Explanations (LIME), Python, Tensorflow 2.0

6.

Algorithm, Machine Learning and Artificial Intelligence

Number of pages: 14 Posted: 06 Apr 2021
Andrea Ferrario and Michele Loi
Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and Department of Mathematics, Politecnico di Milano
Downloads 149 (268,324)
Citation 1

Abstract:

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algorithm, machine learning, artificial intelligence, explainable artificial intelligence, ethics of artificial intelligence, trust

7.

Transparency As Design Publicity: Explaining and Justifying Inscrutable Algorithms

Number of pages: 20 Posted: 20 Jun 2019
Michele Loi, Andrea Ferrario and Eleonora Viganò
Department of Mathematics, Politecnico di Milano, Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and University of Zurich - Institute for Biomedical Ethics and the History of Medicine
Downloads 109 (338,200)
Citation 5

Abstract:

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algorithms, transparency, interpretability, explanation, justification, AI

8.

How Much Do You Trust Me? A Logico-Mathematical Analysis of the Concept of the Intensity of Trust

Number of pages: 31 Posted: 21 Jan 2021
Michele Loi, Andrea Ferrario and Eleonora Viganò
Department of Mathematics, Politecnico di Milano, Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and University of Zurich - Institute for Biomedical Ethics and the History of Medicine
Downloads 67 (452,324)
Citation 1

Abstract:

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trust, measure, philosophy, mathematical and quantitative methods

Other Papers (1)

Total Downloads: 0
1.

The Meaning of 'Explainability Fosters Trust in AI'

Posted: 04 Sep 2021 Last Revised: 31 Jan 2022
Andrea Ferrario and Michele Loi
Dep. Management, Technology, and Economics ETH ZurichMobiliar Lab for Analytics at ETH and Department of Mathematics, Politecnico di Milano

Abstract:

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Artificial Intelligence, Explainable Artificial Intelligence, Trust, Healthcare, Trustworthiness, Ethics of Artificial Intelligence