Confusion matrix for RUSBoost algorithm (3000 Learning Cycles) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)

Guide to selecting data augmentation techniques for sentiment analysis. by Rodrigo Gutiérrez Benítez (19746443)

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Guide to selecting data augmentation techniques for emotion analysis. by Rodrigo Gutiérrez Benítez (19746443)

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Data Sheet 1_Advances in HD-EMG interfaces and spatial algorithms for upper limb prosthetic control.pdf by Debora Quadrelli (22179796)

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

Shortest path calculation using Dijkstra’s Algorithm. by Qing Zhu (349093)

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Data supporting figures and tables in Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning by IKENNA EKEKE (20996041)

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Empirical experiment code by Zhangyu Wang (18475080)

Subjects: “…Deep learning…”

Performance comparison of different algorithms in Atari Games. by Liu Liu (512237)

Performance comparison of different algorithms in Atari games. by Liu Liu (512237)

The pseudocode of the RFE algorithm. by Zuzhen Ji (17593348)

Comparison of mAP@0.5 and Recall for mainstream algorithms. by Junjie Lu (160350)

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Deep learning pipeline for prognostic outcome prediction. by Saul Fuster (22339894)

Study design and deep-learning model architecture. by Sehoon Park (1466026)

“…Conv, Convolutional layer; SepConv, Separable convolutional layer; MBConv, Mobile inverted bottleneck convolutional layer (numbers after MBConv indicate layer depth); k3/k5, kernel size 3 or 5; GAP, Global average pooling; FC, Fully connected layer; Swish, Swish activation function; DBP, Diastolic blood pressure, SBP, Systolic blood pressure; HR, Heart rate; DL-IVSS, A deep-learning algorithm leveraging time-series intraoperative vital sign signals; preOp ML, A machine learning model with 103 baseline characteristics.…”

Short-version of my talk "On networks and deep learning" at ICERM 2024 Algorithmic Advances and Implementation Challenges: Developing Practical Tools for Phylogenetic Inference by Claudia Solis-Lemus (19964739)

Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf by Thiago Fellipe Ortiz de Camargo (19460818)

“…This study evaluates a deep learning algorithm designed for CXR interpretation, focusing on its utility for non-specialists in thoracic radiology physicians.…”

Research progress on anomaly target detection algorithms for hyperspectral imagery by Baozhi Cheng (22754994)

“…Through systematic sorting and analysis, this paper summarizes the existing anomaly target detection algorithms in detail, and evaluates the key issues involved in HSI-ATD, future technological development directions (such as deep learning, multimodal, and real-time processing, etc), as well as the problems existing in the algorithms. …”

Performance comparison of our proposed model with existing approaches for cattle weight prediction using machine learning and deep learning techniques. by Md Junayed Hossain (22615268)

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(HSCRC) encoding scheme. by R. Sakthivel (2589547)

“…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …”

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)