Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things حسب Ashok Kumar K (21441108)

الموضوعات:

Performance of optimization algorithms in six different network types. حسب Maurits H. W. Oostenbroek (11331123)

Greedy optimization algorithm. حسب Alexis Bénichou (19832361)

Performance of optimization algorithms in an network of education organizations of ± 250 nodes. حسب Maurits H. W. Oostenbroek (11331123)

Spearman correlation coefficient results for classification algorithms (predicted probabilities) and regression algorithms (predicted IC50 values). حسب Sofia P. Miranda (11418930)

الموضوعات:

Classification results for all subsampling scenarios and algorithms for Gefitinib. حسب Sofia P. Miranda (11418930)

الموضوعات:

Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib. حسب Sofia P. Miranda (11418930)

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Average RMSE rank for all combinations of subsampling scenarios and algorithms. حسب Sofia P. Miranda (11418930)

الموضوعات:

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"

Summary of AUC values across all combinations of subsampling scenario and algorithm. حسب Sofia P. Miranda (11418930)

الموضوعات:

Most informative genes for predicting cell-line responses for Gefitinib. حسب Sofia P. Miranda (11418930)

الموضوعات:

Descriptions of the algorithms we tested and hyperparameters that we evaluated via nested cross validation. حسب Sofia P. Miranda (11418930)

الموضوعات:

Distribution and survival based cutoff optimization for proportion of D2-40 stained sinus with respect to overall survival by “Cutoff Finder” algorithm. حسب Christina C. Westhoff (14498351)

Test-set Kappa for CNN with and without optimization. حسب Javier León (162217)

Test-set Kappa for RNN with and without optimization. حسب Javier León (162217)

Test-set Kappa for FFNN with and without optimization. حسب Javier León (162217)

Test-set Kappa for RNN with and without optimization. حسب Javier León (162217)

Energy-time behavior for the three optimized networks. حسب Javier León (162217)