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  1. Regularizing Lifetime Drift Prediction in Semiconductor Electrical Parameters with Quantile Random Forest Regression

    Article • Technologies, September 2024, MDPI AG

    O.Univ.-Prof. Dr. Juergen Pilz

  2. Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges

    Article • Technologies, March 2024, MDPI AG

    O.Univ.-Prof. Dr. Juergen Pilz

  3. Statistical Machine Learning for Corn Yield Prediction Based High-Resolution Satellite Imagery: Comparison Between Raw Data and a Multimodality Approach

    Article • January 2024, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  4. A Maximum Entropy Model of the Distribution of Dengue Serotype in Mexico

    Article • Transboundary and Emerging Diseases, July 2023, Wiley

    O.Univ.-Prof. Dr. Juergen Pilz

  5. Community perceptions of landslide risk and susceptibility: a multi-country study

    Article • Landslides, February 2023, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  6. Flexible time reduction method for burn‐in of high‐quality products

    Article • Quality and Reliability Engineering International, April 2021, Wiley

    O.Univ.-Prof. Dr. Juergen Pilz

  7. From a Point Cloud to a Simulation Model—Bayesian Segmentation and Entropy Based Uncertainty Estimation for 3D Modelling

    Article • Entropy, March 2021, MDPI AG

    O.Univ.-Prof. Dr. Juergen Pilz

  8. Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks

    Article • IEEE Transactions on Neural Networks and Learning Systems, March 2021, Institute of Electrical & Electronics Engineers (IEEE)

    O.Univ.-Prof. Dr. Juergen Pilz

  9. Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning

    Article • Modelling—International Open Access Journal of Modelling in Engineering Science, January 2021, MDPI AG

    O.Univ.-Prof. Dr. Juergen Pilz

  10. Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference

    Article • Sensors, October 2020, MDPI AG

    O.Univ.-Prof. Dr. Juergen Pilz

  11. Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification

    Article • Journal of Spatial Science, March 2019, Taylor & Francis

    O.Univ.-Prof. Dr. Juergen Pilz

  12. Integrated Approach for Lithological Classification Using ASTER Imagery in a Shallowly Covered Region—The Eastern Yanshan Mountain of China

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, December 2018, Institute of Electrical & Electronics Engineers (IEEE)

    O.Univ.-Prof. Dr. Juergen Pilz

  13. An integrated approach for extraction of lithology information using the SPOT 6 imagery in a heavily Quaternary-covered region-North Baoji District of China

    Article • Geological Journal, November 2017, Wiley

    O.Univ.-Prof. Dr. Juergen Pilz

  14. Bayesian Network Model with Application to Smart Power Semiconductor Lifetime Data

    Article • Risk Analysis, February 2015, Wiley

    O.Univ.-Prof. Dr. Juergen Pilz

  15. A Sampling Decision System for Virtual Metrology in Semiconductor Manufacturing

    Article • IEEE Transactions on Automation Science and Engineering, January 2015, Institute of Electrical & Electronics Engineers (IEEE)

    O.Univ.-Prof. Dr. Juergen Pilz

  16. An advanced area scaling approach for semiconductor burn-in

    Article • Microelectronics Reliability, January 2015, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  17. Decision-Theoretical Model for Failures Which are Tackled by Countermeasures

    Article • IEEE Transactions on Reliability, June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    O.Univ.-Prof. Dr. Juergen Pilz

  18. Advanced Bayesian Estimation of Weibull Early Life Failure Distributions

    Article • Quality and Reliability Engineering International, January 2014, Wiley

    O.Univ.-Prof. Dr. Juergen Pilz

  19. Portable Chamber System for Measuring Chloroform Fluxes from Terrestrial Environments – Methodological Challenges

    Article • Environmental Science & Technology, November 2013, American Chemical Society (ACS)

    O.Univ.-Prof. Dr. Juergen Pilz

  20. A new bivariate exponential distribution for modeling moderately negative dependence

    Article • Statistical Methods & Applications, October 2013, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  21. Monitoring virtual metrology reliability in a sampling decision system

    Article • August 2013, Institute of Electrical & Electronics Engineers (IEEE)

    O.Univ.-Prof. Dr. Juergen Pilz

  22. A Recurrence Relation of Hypergeometric Series Through Record Statistics and a Characterization

    Article • Applied Mathematics & Information Sciences, July 2013, Natural Sciences Publishing

    O.Univ.-Prof. Dr. Juergen Pilz

  23. Application of Bayesian networks to predict SMART power semiconductor lifetime

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    O.Univ.-Prof. Dr. Juergen Pilz

  24. Likelihood and objective Bayesian modeling of acidity and major ions in rainfall using a bivariate pseudo-Gamma distribution

    Article • Computers & Geosciences, April 2013, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  25. A new bivariate Gamma distribution generated from functional scale parameter with application to drought data

    Article • Stochastic Hydrology and Hydraulics, September 2012, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  26. Sampling Decision System in semiconductor manufacturing using Virtual Metrology

    Article • August 2012, Institute of Electrical & Electronics Engineers (IEEE)

    O.Univ.-Prof. Dr. Juergen Pilz

  27. Objective Bayesian analysis of spatial data with uncertain nugget and range parameters

    Article • Canadian Journal of Statistics, May 2012, Wiley

    O.Univ.-Prof. Dr. Juergen Pilz

  28. Some advances in Bayesian spatial prediction and sampling design

    Article • Spatial Statistics, May 2012, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  29. On the performance of a new bivariate pseudo Pareto distribution with application to drought data

    Article • Stochastic Hydrology and Hydraulics, December 2011, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  30. A Bayesian approach to estimating linear mixtures with unknown covariance structure

    Article • Journal of Applied Statistics, September 2011, Taylor & Francis

    O.Univ.-Prof. Dr. Juergen Pilz

  31. Applying Bayesian mixtures-of-experts models to statistical description of smart power semiconductor reliability

    Article • Microelectronics Reliability, September 2011, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  32. Geo-additive modelling of malaria in Burundi

    Article • Malaria Journal, August 2011, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  33. Dynamic Maintenance in semiconductor manufacturing using Bayesian networks

    Article • August 2011, Institute of Electrical & Electronics Engineers (IEEE)

    O.Univ.-Prof. Dr. Juergen Pilz

  34. Bayesian spatial modeling and interpolation using copulas

    Article • Computers & Geosciences, March 2011, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  35. INTAMAP: The design and implementation of an interoperable automated interpolation web service

    Article • Computers & Geosciences, March 2011, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  36. Introduction to this special issue on geoinformatics for environmental surveillance

    Article • Computers & Geosciences, March 2011, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  37. Network optimization algorithms and scenarios in the context of automatic mapping

    Article • Computers & Geosciences, March 2011, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  38. Spatio-temporal interpolation of precipitation during monsoon periods in Pakistan

    Article • Advances in Water Resources, August 2010, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  39. Reply to Comment on "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach" by Kolovos (2009)

    Article • Advances in Geosciences, July 2010, Copernicus GmbH

    O.Univ.-Prof. Dr. Juergen Pilz

  40. Effectiveness of respiratory-sinus-arrhythmia biofeedback on state-anxiety in patients undergoing coronary angiography

    Article • Journal of Advanced Nursing, May 2010, Wiley

    O.Univ.-Prof. Dr. Juergen Pilz

  41. Bayesian modelling of the effect of climate on malaria in Burundi

    Article • Malaria Journal, April 2010, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  42. Statistical Analysis of QKD Networks in Real-Life Environment

    Article • January 2010, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  43. Copula-based geostatistical modeling of continuous and discrete data including covariates

    Article • Stochastic Hydrology and Hydraulics, October 2009, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  44. Spatial sampling design and covariance-robust minimax prediction based on convex design ideas

    Article • Stochastic Hydrology and Hydraulics, August 2009, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  45. Statistical Analysis of QKD Networks in Real-Life Environments

    Article • February 2009, Institute of Electrical & Electronics Engineers (IEEE)

    O.Univ.-Prof. Dr. Juergen Pilz

  46. Interfacing Geostatistics and GIS

    Article • January 2009, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  47. Why do we need and how should we implement Bayesian kriging methods

    Article • Stochastic Hydrology and Hydraulics, June 2007, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  48. Support Vector Machines for Classification of Aggregates by Means of IR-Spectra

    Article • Journal of the International Association for Mathematical Geology, June 2007, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  49. Statistical Classification of Different Petrographic Varieties of Aggregates by Means of Near and Mid Infrared Spectra

    Article • Journal of the International Association for Mathematical Geology, February 2007, Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  50. Minimax linear regression estimation with symmetric parameter restrictions

    Article • Journal of Statistical Planning and Inference, January 1986, Elsevier

    O.Univ.-Prof. Dr. Juergen Pilz

  51. Bayesian Trans-Gaussian Kriging with Log-Log Transformed Skew Data

    Article • Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  52. Daubechies Wavelets for Identification of Rock Variants from IR Spectra

    Article • Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz

  53. Presentation of Entrepreneurship Data and Aspects of Spatial Modeling

    Article • Springer Science + Business Media

    O.Univ.-Prof. Dr. Juergen Pilz