Citation Impact
Citing Papers
The Curse of Highly Variable Functions for Local Kernel Machines
2005
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
2007 StandoutNobel
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2010 Standout
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
2006 Standout
Annals of the American association of geographers
2016 Standout
Revisiting the relation between economic growth and the environment; a global assessment of deforestation, pollution and carbon emission
2019
On the determinants of local government performance: A two-stage nonparametric approach
2006
Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
2011 Standout
Television and DVD/Video Viewing in Children Younger Than 2 Years
2007
Representation Learning: A Review and New Perspectives
2013 Standout
The Graph Neural Network Model
2008 Standout
Hypothesis testing in semiparametric additive mixed models
2003
Tracking-Learning-Detection
2011 Standout
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration
2007 Standout
Distributed lag non‐linear models
2010 Standout
Improving Competitiveness Through Vocational and Higher Education: Indonesia’s Vision For Human Capital Development In 2019–2024
2021 Standout
Pattern Recognition and Neural Networks
1996 Standout
A more complete conceptual framework for SME finance
2006 Standout
Effects of the New Basel Capital Accord on Bank Capital Requirements for SMEs
2005
Indoor localization with channel impulse response based fingerprint and nonparametric regression
2010
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
2015 Standout
Double/debiased machine learning for treatment and structural parameters
2017 StandoutNobel
Semi-Supervised Learning Literature Survey
2005 Standout
The Cyclical Behavior of Equilibrium Unemployment and Vacancies
2005 Standout
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration
2014 Standout
Modelling Credit Risk for SMEs: Evidence from the U.S. Market
2007
The retrieval of intra-day trend and its influence on traffic prediction
2012
A Comprehensive Survey on Transfer Learning
2020 Standout
Absorptive Capacity and the Growth and Investment Effects of Regional Transfers: A Regression Discontinuity Design with Heterogeneous Treatment Effects
2013
Matching As An Econometric Evaluation Estimator
1998 Standout
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
2001 Standout
Semiparametric penalized generalized additive models for environmental research and epidemiology
2009
Revisiting the determinants of local government performance
2013 Standout
Regional Wind Power Forecasting Based on Smoothing Techniques, With Application to the Spanish Peninsular System
2012
A climate stress-test of the financial system
2017 Standout
Deep belief network based deterministic and probabilistic wind speed forecasting approach
2016 Standout
From Reunification to Economic Integration: Productivity and the Labor Market in Eastern Germany
2001 Standout
A survey on semi-supervised learning
2019 Standout
Predicting residential energy consumption using CNN-LSTM neural networks
2019 Standout
Direct importance estimation for covariate shift adaptation
2008
Learning Deep Architectures for AI
2009 Standout
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
2011 Standout
Comparative Politics and the Synthetic Control Method
2014 Standout
Semi-Supervised Learning
2006 Standout
Statistical outlier detection using direct density ratio estimation
2010
Innovative Development of Renewable Energy During The Crisis Period and Its Impact on the Environment
2022 Standout
Traffic Flow Prediction With Big Data: A Deep Learning Approach
2014 Standout
Data clustering: 50 years beyond K-means
2009 Standout
A tutorial on spectral clustering
2007 Standout
A deep learning model for short-term power load and probability density forecasting
2018
Visualising Crime Clusters in a Space-time Cube: An Exploratory Data-analysis Approach Using Space-time Kernel Density Estimation and Scan Statistics
2010
Direct estimation of low-dimensional components in additive models
1998
Controlling for continuous confounding factors: non- and semiparametric approaches
2005
A theory of learning from different domains
2009 Standout
A tensor-based method for missing traffic data completion
2013 Standout
Implied basket correlation dynamics
2016
Noncognitive skills in economics: Models, measurement, and empirical evidence
2013
On the dynamics of interstate migration: Migration costs and self-selection
2012
Putting Education in “Educational” Apps
2015 Standout
Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
2019 Standout
A review of novelty detection
2014 Standout
Twicing Kernels and a Small Bias Property of Semiparametric Estimators
2004
Chemical gas sensor drift compensation using classifier ensembles
2012 Standout
Polynomial splines and their tensor products in extended linear modeling: 1994 Wald memorial lecture
1997
Place-Based Policies, Creation, and Agglomeration Economies: Evidence from China’s Economic Zone Program
2019 Standout
Works of Marlene Müller being referenced
Nonparametric and Semiparametric Models
2004
Estimation and testing in generalized partial linear models—A comparative study
2001
Redesigning Ratings: Assessing the Discriminatory Power of Credit Scores
under Censoring
2002
Testing Parametric versus Semiparametric Modelling in Generalized Linear Models
1997
Semiparametric analysis of German East–West migration intentions: facts and theory
1998
Semiparametric analysis of German East-West migration intentions: facts and theory
1998
The efficiency of bias-corrected estimators for nonparametric kernel estimation based on local estimating equations
1998
Testing Parametric versus Semiparametric Modeling in Generalized Linear Models
1998
Testing Parametric versus Semiparametric Modeling in Generalized Linear Models
1998