Comparison results of scMSI and MSIsensor for different proportions of primary clones. حسب Yuqian Liu (1413763)

Models’ performance without optimization. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

RNN performance comparison with/out optimization. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

Data_Sheet_1_A Bayesian Model to Analyze the Association of Rheumatoid Arthritis With Risk Factors and Their Interactions.PDF حسب Leon Lufkin (11276856)

XNet: A Bayesian Approach to Extracted Ion Chromatogram Clustering for Precursor Mass Spectrometry Data حسب Mathew Gutierrez (5844431)

"…Many methods are particularly dependent on user parameters, and because they lack a means to optimize parameters, tend to perform poorly. To this end we present XNet, a parameter-less Bayesian machine learning approach to isotopic envelope extraction through the clustering of extracted ion chromatograms. …"

Proposed method approach. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

LSTM model performance. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

Descriptive statistics. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

CNN-LSTM Model performance. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

MLP Model performance. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

RNN Model performance. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

CNN Model performance. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

Bi-directional LSTM Model performance. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"

The baseline case–the model in the absence of sentinel plants. حسب Francesca A. Lovell-Read (14378253)

Supplementary information for Efficient distributed edge computing for dependent delay-sensitive tasks in multi-operator multi-access networks حسب Alia Asheralieva (17562462)

"…We prove that the game has a perfect Bayesian equilibrium (PBE) yielding unique optimal values, and formulate new Bayesian reinforcement learning and Bayesian deep reinforcement learning algorithms enabling each PN to reach the PBE autonomously (without communicating with other PNs).…"

<b>Spatial modeling of gully density on the Qinghai-Tibet Plateau: Application of hyperparameter optimization in interpretable machine learning</b> حسب Zhoujiang Liu (22741966)

"…Various machine learning models were used, and different hyperparameter optimization algorithms were selected to train the models to obtain the best model. …"

Data_Sheet_1_A Machine-Learning Approach for Dynamic Prediction of Sepsis-Induced Coagulopathy in Critically Ill Patients With Sepsis.docx حسب Qin-Yu Zhao (10014626)

Data_Sheet_2_A Machine-Learning Approach for Dynamic Prediction of Sepsis-Induced Coagulopathy in Critically Ill Patients With Sepsis.xlsx حسب Qin-Yu Zhao (10014626)

DataSheet_1_A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn... حسب Gaosen Zhang (539619)

"…Background<p>This study aimed to determine an optimal machine learning (ML) model for evaluating the preoperative diagnostic value of ultrasound signs of breast cancer lesions for sentinel lymph node (SLN) status.…"

DataSheet_2_Optimising Treatment Outcomes for Children and Adults Through Rapid Genome Sequencing of Sepsis Pathogens. A Study Protocol for a Prospective, Multi-Centre Trial (DIREC... حسب Adam D. Irwin (11011752)

"…In Phase 2, a further 50 consecutive patients with suspected sepsis will be recruited in whom MinION sequencing will be combined with Bayesian software-guided (ID-ODS) personalised antimicrobial dosing.…"