Grading of examination papers is a hectic, time-labor intensive task and is often subjected to inefficiency and bias in checking. This research project is a primitive experiment in the automation of grading of theoretical answers written in exams by students in technical courses which yet had continued to be human graded. In this paper, we show how the algorithmic approach in machine learning can be used to automatically examine and grade theoretical content in exam answer papers. Bag of words, their vectors & centroids, and a few semantic and lexical text features have been used overall. Machine learning models have been implemented on datasets manually built from exams given by graduating students enrolled in technical courses. These models have been compared to show the effectiveness of each model.
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer
University of Augsburg（奥格斯堡大学）；University Hospital Augsburg（奥格斯堡大学医院）；Neu-Ulm University of Applied Sciences（新乌尔姆应用科学大学）；Bavarian Cancer Research Center（巴伐利亚癌症研究中心）；BioM Biotech Cluster Development GmbH（BioM生物技术集群发展有限公司）
ChatGPT for automated grading of short answer questions in mechanical ventilation
Shri Atal Bihari Vajpayee Medical College and Research Institute（阿塔尔·比哈里·瓦杰帕伊医学院与研究所）；Bowring and Lady Curzon Hospitals（鲍林与莱迪·柯曾医院）；Rajiv Gandhi University of Health Sciences（拉吉夫·甘地健康科学大学）；Intensive Care Service, Westmead Hospital（韦斯特米德医院重症监护服务部）
Automated Grading System of Retinal Arterio-venous Crossing Patterns: A Deep Learning Approach Replicating Ophthalmologist's Diagnostic Process of Arteriolosclerosis
DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks
University of Augsburg（奥格斯堡大学）；University Hospital Augsburg（奥格斯堡大学医院）；BioM Biotech Cluster Development GmbH（BioM生物技术集群发展有限公司）；Bavarian Cancer Research Center (BZKF)（巴伐利亚癌症研究中心）
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading
Technical University of Munich（慕尼黑工业大学）；Klinikum Rechts der Isar (Technical University of Munich)（慕尼黑工业大学伊萨尔河右岸医院）；University of Munich（慕尼黑大学）；Klinikum der Universität München（慕尼黑大学医院）；Johns Hopkins University（约翰斯·霍普金斯大学）
RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows
Pennsylvania State University（宾夕法尼亚州立大学）；City University of New York（纽约市立大学）；New York University（纽约大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Autodesk（欧特克公司）；Carnegie Mellon University（卡内基梅隆大学）
Automated Grading of Students' Handwritten Graphs: A Comparison of Meta-Learning and Vision-Large Language Models
Institute for Research in Open-, Distance- and eLearning, Swiss Distance University of Applied Sciences（开放、远程和e学习研究学院，瑞士应用科学远程大学）；North-West University（北开普敦大学）
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach
Science Foundation Ireland Centre for Research Training in Machine Learning（爱尔兰科学基金会机器学习研究培训中心）；School of Medicine（医学院）；School of Computer Science, University College Dublin（都柏林大学学院计算机科学学院）；Insight Centre for Data Analytics, University College Dublin（都柏林大学学院洞察数据分析中心）
