Binary Database of Patagonian Archaeological Technology from Hunter–gatherer mobility and technological landscapes in southernmost South America: a statistical learning approach. حسب Ivan Briz i Godino (719098)

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

Comparing the performance of One-class classifiers with their respective binary classifier. حسب Efrat Cohen-Davidi (19485986)

Prediction AUC of Strokeformer and the competitor methods on the ten large-scale binary classification datasets. حسب Maocheng Cao (22127378)

Prediction AUC of Strokeformer and the competitor methods on the nine small-scale binary classification datasets. حسب Maocheng Cao (22127378)

DataSheet2_Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy.PDF حسب András Micsonai (801004)

DataSheet3_Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy.xlsx حسب András Micsonai (801004)

DataSheet1_Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy.PDF حسب András Micsonai (801004)

Flowchart of DQN algorithm. حسب Jiandong Qiu (20389944)

DataSheet1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.docx حسب Wisnu Ananta Kusuma (9276182)

Alternative approaches to polygenic risk scoring vs <i>hi</i>PRS. حسب Michela C. Massi (14599915)

Results and comparisons for a real biological setting. حسب Michela C. Massi (14599915)

<i>hi</i>PRS results on risk prediction against benchmark PRSs and ML approaches. حسب Michela C. Massi (14599915)

Fitting times in a real biological setting. حسب Michela C. Massi (14599915)

Interpretability analysis. حسب Michela C. Massi (14599915)

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…<p dir="ltr">This CSV file contains a comprehensively curated dataset comprising physicochemical descriptors and biological assay data for engineered metal oxide nanoparticles. This dataset was specifically developed to support machine learning model training for toxicity prediction and represents the result of an extensive multi-stage data extraction and curation pipeline. …"

Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

Data_Sheet_3_Using Serum Metabolomics to Predict Development of Anti-drug Antibodies in Multiple Sclerosis Patients Treated With IFNβ.xlsx حسب Kirsty E. Waddington (5754545)

"…Here we use machine learning to predict immunogenicity against IFNβ utilizing serum metabolomics data.…"

Data_Sheet_2_Using Serum Metabolomics to Predict Development of Anti-drug Antibodies in Multiple Sclerosis Patients Treated With IFNβ.xlsx حسب Kirsty E. Waddington (5754545)

"…Here we use machine learning to predict immunogenicity against IFNβ utilizing serum metabolomics data.…"

Data_Sheet_1_Using Serum Metabolomics to Predict Development of Anti-drug Antibodies in Multiple Sclerosis Patients Treated With IFNβ.xlsx حسب Kirsty E. Waddington (5754545)

"…Here we use machine learning to predict immunogenicity against IFNβ utilizing serum metabolomics data.…"