Journal: Journal of Cheminformatics

Article Title: Be aware of overfitting by hyperparameter optimization!

doi: 10.1186/s13321-024-00934-w

Figure Lengend Snippet: Comparison of RMSE for analyzed original (“Org”) datasets

Article Snippet: Since we did not have access to such a powerful cluster, we decided to skip parameter optimization and use default hyperparameters provided by OCHEM developers for the respective methods and implemented in openOCHEM [ ].

Techniques: Comparison, Biomarker Discovery

Journal: Journal of Cheminformatics

Article Title: Be aware of overfitting by hyperparameter optimization!

doi: 10.1186/s13321-024-00934-w

Figure Lengend Snippet: Comparison of results for “Cln” dataset

Article Snippet: Since we did not have access to such a powerful cluster, we decided to skip parameter optimization and use default hyperparameters provided by OCHEM developers for the respective methods and implemented in openOCHEM [ ].

Techniques: Comparison

Journal: Sensors (Basel, Switzerland)

Article Title: LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes

doi: 10.3390/s21051636

Figure Lengend Snippet: The summarized hyperparameters of Vanilla LSTM network found by SigOpt.

Article Snippet: Furthermore, the hyperparameters of LSTM networks were optimized using the Bayesian hyperparameter optimization on the SigOpt platform [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes

doi: 10.3390/s21051636

Figure Lengend Snippet: The summarized hyperparameters of 2-Stacked LSTM network found by SigOpt.

Article Snippet: Furthermore, the hyperparameters of LSTM networks were optimized using the Bayesian hyperparameter optimization on the SigOpt platform [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes

doi: 10.3390/s21051636

Figure Lengend Snippet: The summarized hyperparameters of 3-Stacked LSTM Network found by SigOpt.

Article Snippet: Furthermore, the hyperparameters of LSTM networks were optimized using the Bayesian hyperparameter optimization on the SigOpt platform [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes

doi: 10.3390/s21051636

Figure Lengend Snippet: The summarized hyperparameters of CNN-LSTM network found by SigOpt.

Article Snippet: Furthermore, the hyperparameters of LSTM networks were optimized using the Bayesian hyperparameter optimization on the SigOpt platform [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes

doi: 10.3390/s21051636

Figure Lengend Snippet: The summarized hyperparameters for 4-layer CNN-LSTM network found by SigOpt.

Article Snippet: Furthermore, the hyperparameters of LSTM networks were optimized using the Bayesian hyperparameter optimization on the SigOpt platform [ ].

Techniques: