| Finding Knees in Bayesian Multi-objective Optimization | 0 | 0.34 | 2022 |
| Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty. | 0 | 0.34 | 2022 |
| On The Usage of Gaussian Processes for Visible Light Positioning With Real Radiation Patterns | 1 | 0.36 | 2021 |
| Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity | 1 | 0.39 | 2021 |
| Indoor human activity recognition using high-dimensional sensors and deep neural networks | 1 | 0.35 | 2020 |
| Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning. | 1 | 0.35 | 2020 |
| Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning | 1 | 0.35 | 2020 |
| Hierarchical Gaussian Process Models for Improved Metamodeling | 0 | 0.34 | 2020 |
| Automated Framework for Time-Domain Piecewise-Linear Fitting Method Based on Digital Wave Processing of $S$ -Parameters | 1 | 0.48 | 2020 |
| Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks. | 0 | 0.34 | 2019 |
| ALBATROS: adaptive line-based sampling trajectories for sequential measurements | 1 | 0.37 | 2019 |
| Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data | 0 | 0.34 | 2019 |
| Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation. | 0 | 0.34 | 2019 |
| Active Learning for Feasible Region Discovery. | 0 | 0.34 | 2019 |
| Automated Sleep Apnea Detection in Raw Respiratory Signals using Long Short-Term Memory Neural Networks. | 4 | 0.46 | 2019 |
| A Study of Early Sepsis Detection Models Based on Multivariate Medical Time Series. | 0 | 0.34 | 2019 |
| Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings. | 0 | 0.34 | 2019 |
| Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders | 0 | 0.34 | 2019 |
| Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression. | 0 | 0.34 | 2018 |
| VI-Based Appliance Classification Using Aggregated Power Consumption Data. | 0 | 0.34 | 2018 |
| Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. | 0 | 0.34 | 2018 |
| Indoor Person Identification Using a Low-Power FMCW Radar. | 11 | 0.94 | 2018 |
| Deep gaussian process metamodeling of sequentially sampled non-stationary response surfaces | 0 | 0.34 | 2017 |
| Surrogate modeling based cognitive decision engine for optimization of WLAN performance. | 0 | 0.34 | 2017 |
| Handling imbalance in an extended PLAID. | 0 | 0.34 | 2017 |
| Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models. | 1 | 0.38 | 2017 |
| Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty. | 0 | 0.34 | 2016 |
| Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes. | 0 | 0.34 | 2016 |
| Design space exploration using Self-Organizing Map based adaptive sampling. | 0 | 0.34 | 2016 |
| Netter: re-ranking gene network inference predictions using structural network properties. | 2 | 0.35 | 2016 |
| Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations. | 0 | 0.34 | 2016 |
| Building accurate radio environment maps from multi-fidelity spectrum sensing data | 5 | 0.46 | 2016 |
| Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility. | 0 | 0.34 | 2016 |
| Variance-based interaction index measuring heteroscedasticity. | 0 | 0.34 | 2016 |
| Machine Learning Challenges for Single Cell Data. | 0 | 0.34 | 2016 |
| Frequency-dependent parameterized macromodeling of integrated inductors | 0 | 0.34 | 2016 |
| Positive blood culture detection in time series data using a BiLSTM network. | 0 | 0.34 | 2016 |
| A comparative study of kriging variants for the optimization of a turbomachinery system. | 1 | 0.36 | 2016 |
| Sensitivity Analysis of Expensive Black-Box Systems Using Metamodeling. | 0 | 0.34 | 2016 |
| Performance study of gradient-enhanced Kriging. | 2 | 0.39 | 2016 |
| Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods. | 1 | 0.41 | 2015 |
| A Matlab Toolbox For Kriging Metamodelling | 0 | 0.34 | 2015 |
| Throughput optimization strategies for large-scale wireless LANs | 0 | 0.34 | 2015 |
| A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments | 6 | 0.72 | 2015 |
| Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores. | 9 | 0.73 | 2015 |
| Unsupervised Trajectory Inference Using Graph Mining. | 0 | 0.34 | 2015 |
| Efficient global optimization of multi-parameter network problems on wireless testbeds. | 1 | 0.34 | 2015 |
| Constructing classifiers of expensive simulation-based data by sequential experimental design. | 0 | 0.34 | 2015 |
| Throughput optimization of wireless LANs by surrogate model based cognitive decision making | 0 | 0.34 | 2015 |
| Model Order Reduction of Time-Delay Systems Using a Laguerre Expansion Technique | 7 | 0.99 | 2014 |
