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A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score

Journal of general internal medicine : JGIM, 2020-01, Vol.35 (1), p.220-227

2020

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AcceleRater: a web application for supervised learning of behavioral modes from acceleration measurements

Movement ecology, 2014-12, Vol.2 (1), p.27-27, Article 27

2014

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Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection

Remote sensing (Basel, Switzerland), 2017-11, Vol.9 (11), p.1130

2017

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How to treat mixed behavior segments in supervised machine learning of behavioural modes from inertial measurement data

Movement ecology, 2024-06, Vol.12 (1), p.44-9, Article 44

2024

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Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices

Wireless Mobile Communication and Healthcare, p.242-249

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Using accelerometry to compare costs of extended migration in an arctic herbivore

Current zoology, 2017-12, Vol.63 (6), p.667-674

2017

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challenges of the first migration: movement and behaviour of juvenile vs. adult white storks with insights regarding juvenile mortality

The Journal of animal ecology, 2016-07, Vol.85 (4), p.938-947

2016

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Early-life behaviour predicts first-year survival in a long-distance avian migrant

Proceedings of the Royal Society. B, Biological sciences, 2021-01, Vol.288 (1942), p.20202670-20202670

2021

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Correcting a bias in the computation of behavioural time budgets that are based on supervised learning

Methods in ecology and evolution, 2022-07, Vol.13 (7), p.1488-1496

2022

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Promoting head CT exams in the emergency department triage using a machine learning model

Neuroradiology, 2020-02, Vol.62 (2), p.153-160

2020

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Einführung in TensorFlow: Deep-Learning-Systeme programmieren, trainieren, skalieren und deployen

Tom Hope, Yehezkel S. Resheff, Itay Lieder / Kristian Rother

2018

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Proving unfairness of decision making systems without model access

Expert systems with applications, 2023-03, Vol.213, p.118987, Article 118987

2023

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Wintering in Europe instead of Africa enhances juvenile survival in a long-distance migrant

Animal behaviour, 2017-04, Vol.126, p.79-88

2017

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Privacy-Preserving Decision Trees Training and Prediction

ACM transactions on privacy and security, 2022-08, Vol.25 (3), p.1-30, Article 24

2022

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A wavelet-based approach to monitoring Parkinson's disease symptoms

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.5980-5984

2017

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IEEE_Xplore

Privacy-Preserving Decision Trees Training and Prediction

Machine Learning and Knowledge Discovery in Databases, p.145-161

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Matrix factorization approach to behavioral mode analysis from acceleration data

2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015, p.1-6

2015

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Optimal Linear Imputation with a Convergence Guarantee

Pattern Recognition Applications and Methods, 2018, Vol.10857, p.62-79

2018

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Topic modeling of behavioral modes using sensor data

International journal of data science and analytics, 2016-04, Vol.1 (1), p.51-60

2016

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Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning

Machine Learning and Knowledge Discovery in Databases, p.590-604

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Online trajectory segmentation and summary with applications to visualization and retrieval

2016 IEEE International Conference on Big Data (Big Data), 2016, p.1832-1840

Resheff, Yehezkel S.

2016

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Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study

Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, p.390-400

2021

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A Statistical Approach to Inferring Business Locations Based on Purchase Behavior

2018 IEEE International Conference on Big Data (Big Data), 2018, p.2295-2303

2018

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IEEE_Xplore

Einfuhrung in TensorFlow

2018

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Einführung in TensorFlow: Deep-Learning-Systeme programmieren, trainieren, skalieren und deployen

1, 2018

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A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score

AcceleRater: a web application for supervised learning of behavioral modes from acceleration measurements

Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection

How to treat mixed behavior segments in supervised machine learning of behavioural modes from inertial measurement data

Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices

Using accelerometry to compare costs of extended migration in an arctic herbivore

challenges of the first migration: movement and behaviour of juvenile vs. adult white storks with insights regarding juvenile mortality

Early-life behaviour predicts first-year survival in a long-distance avian migrant

Correcting a bias in the computation of behavioural time budgets that are based on supervised learning

Promoting head CT exams in the emergency department triage using a machine learning model

Einführung in TensorFlow: Deep-Learning-Systeme programmieren, trainieren, skalieren und deployen

Proving unfairness of decision making systems without model access

Wintering in Europe instead of Africa enhances juvenile survival in a long-distance migrant

Privacy-Preserving Decision Trees Training and Prediction

A wavelet-based approach to monitoring Parkinson's disease symptoms

Privacy-Preserving Decision Trees Training and Prediction

Matrix factorization approach to behavioral mode analysis from acceleration data

Optimal Linear Imputation with a Convergence Guarantee

Topic modeling of behavioral modes using sensor data

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning

Online trajectory segmentation and summary with applications to visualization and retrieval

Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study

A Statistical Approach to Inferring Business Locations Based on Purchase Behavior

Einfuhrung in TensorFlow

Einführung in TensorFlow: Deep-Learning-Systeme programmieren, trainieren, skalieren und deployen

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