Inclusion of data uncertainty in machine learning and its application in geodetic data science, with case studies for the prediction of Earth orientation parameters and GNSS station coordinate time series

Understanding deep learning (still) requires rethinking generalization

(2021) Chiyuan Zhang et al.   COMMUNICATIONS OF THE ACM

Analysis and prediction of polar motion using MSSA method

(2021) Xin Jin et al.   EARTH PLANETS AND SPACE

Long polar motion series: Facts and insights

(2020) Gerhard Beutler et al.   ADVANCES IN SPACE RESEARCH

Deep Learning for Time Series Forecasting: A Survey

(2020) José F. Torres et al.   Big Data

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Statistical and Machine Learning forecasting methods: Concerns and ways forward

(2018) Spyros Makridakis et al.   PLoS One

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

A priori fully populated covariance matrices in least-squares adjustment—case study: GPS relative positioning

(2016) Gaël Kermarrec et al.   JOURNAL OF GEODESY

On the Covariance Matrix of Weighted Total Least-Squares Estimates

(2016) A. R. Amiri-Simkooei et al.   JOURNAL OF SURVEYING ENGINEERING

Weighted total least squares applied to mixed observation model

(2016) A. R. Amiri-Simkooei et al.   SURVEY REVIEW

On the Covariance Matrix of Weighted Total Least-Squares Estimates

(2016) A. R. Amiri-Simkooei et al.   JOURNAL OF SURVEYING ENGINEERING

On the estimability of parameters in undifferenced, uncombined GNSS network and PPP-RTK user models by means of $$\mathcal {S}$$ S -system theory

(2015) Dennis Odijk et al.   JOURNAL OF GEODESY

Deep learning

(2015) Yann LeCun et al.   NATURE

Iterative algorithm for weighted total least squares adjustment

(2013) S. Jazaeri et al.   SURVEY REVIEW

Achievements of the Earth orientation parameters prediction comparison campaign

(2010) M. Kalarus et al.   JOURNAL OF GEODESY

Modified Recursive Least Squares algorithm to train the Hybrid Multilayered Perceptron (HMLP) network

(2009) Mohammad Subhi Al-Batah et al.   APPLIED SOFT COMPUTING