LSTM auto encoder algorithm illustration. by Hao Zhang (15339)

Example depiction of the autoML process. by Cynthia Lokker (3813832)

AutoDesigner - Core Design, a De Novo Design Algorithm for Chemical Scaffolds: Application to the Design and Synthesis of Novel Selective Wee1 Inhibitors by Pieter H. Bos (1878256)

“…To address these limitations, we propose AutoDesigner - Core Design (CoreDesign), a <i>de novo</i> scaffold design algorithm. …”

Characteristics of the dataset, preprocessing, and feature extraction steps employed by AutoML in the training of the model selected from each dataset experiment^b'*'. by Cynthia Lokker (3813832)

<b>Supporting data for "CT Radiomics and Deep Learning Auto-segmentation in Epithelial Ovarian Carcinoma Treatment Response and Prognosis Evaluation"</b> by Mengge He (11085414)

“…</p><p dir="ltr">Second study aimed to develop a DL algorithm in segmentation of omental metastases(OM) of EOC based on staging contrast-enhanced CT (ceCT) scans of EOC patients with OM from 6 institutions and to test its utility in recurrence detection. …”

Data Sheet 1_AutoRA: an innovative algorithm for automatic delineation of reference areas in support of smart soil sampling and digital soil twins.pdf by Hugo Rodrigues (5954366)

“…In this study, we introduce the autoRA algorithm, an innovative automated soil sampling design method that utilizes Gower’s Dissimilarity Index to delineate RAs automatically. …”

Data Sheet 1_Prognostic assessment and intelligent prediction system for breast reduction surgery using improved swarm intelligence optimization.docx by Zhiwei Cui (10682154)

“…Guided by the Improved Secretary Bird Optimization Algorithm (ISBOA), the optimization algorithm was integrated with an AutoML framework to achieve fully automated optimization spanning from feature selection to model parameter configuration. …”

Data Sheet 2_Prognostic assessment and intelligent prediction system for breast reduction surgery using improved swarm intelligence optimization.docx by Zhiwei Cui (10682154)

“…Guided by the Improved Secretary Bird Optimization Algorithm (ISBOA), the optimization algorithm was integrated with an AutoML framework to achieve fully automated optimization spanning from feature selection to model parameter configuration. …”

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…We have addressed these shortcomings in this study and have performed a detailed analysis of the performance of four different techniques to address imbalanced class distribution using machine learning (ML) methods and AutoML tools. To carry out our study, we have selected four such techniques(a) threshold optimization using (i) GHOST and (ii) the area under the precision–recall curve (AUPR) curve, (b) internal balancing method of AutoML and class-weight of machine learning methods, and (c) data balancing using SMOTETomekand generated 27 data sets considering nine different class ratios (i.e., the ratio of the positive class and total samples) from three data sets that belong to the drug discovery and development field. …”

Structure of Dense Block. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

Design of DenseNet. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

Assessment Using Dataset 2. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

Analysis of Recent Research Work. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

Assessment Using Dataset 1. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

Definition for Assessment Measures. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

Convergence Analysis. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

Proposed Thorax Disease Detection Model. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

Structure of EnAE model for feature extraction. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

AUC Analysis for Dataset 1. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”

Comparative Analysis for Datasets 1 and 2. by Nadim Rana (11424583)

“…To further improve feature selection, we utilize the Chaotic Whale Optimization (ChWO) Algorithm, which optimally selects the most relevant attributes from the extracted features. …”