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Exploring Genetic Programming Models in computer-Aided Diagnosis of Skin Cancer Images 13

Exploring Genetic Programming Models in Computer-Aided Diagn...

引用

13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Ain, Qurrat Ui Al-Sahaf, Harith Xue, Bing Zhang, Mengjie School of Engineering and Computer Science Victoria University of Wellington PO Box 600 Wellington New Zealand College of Engineering and Info. Technology AlShaab University Dep. of Cybersecurity Engineering Baghdad Iraq

ISBN: (纸本)9798350308365

Extracting important info.mation from complex skin lesion images is vital to effectively distinguish between different types of skin cancer images. In addition to providing high classification performance, such computer-aided diagnostic methods are needed where the models are interpretable and can provide knowledge about the discriminative features in skin lesion images. This underlying info.mation can significantly assist dermatologists in identifying a particular stage or type of cancer. With its flexible representation and global search abilities, Genetic Programming (GP) is an ideal learning al-gorithm to evolve interpretable models and identify important features with significant info.mation to discriminate between skin cancer classes. This paper provides an in-depth analysis of a recent GP-based feature learning method where different well-developed feature descriptors are integrated into the learning algorithms to extract high-level features for skin cancer image classification. The study explores the effectiveness of utilizing feature learning for this complex task and designing program structure to suit the problem domain as it has shown promising results compared to commonly used feature descriptors and an existing GP-based feature learning method developed for general image classification. This study analyzes the GP-evolved models to identify the prominent features and most effective feature descriptors important for the classification of these skin cancer images. The evolved models are interpretable, they provide knowledge that can assist dermatologists in making diagnoses in real-time clinical situations by identifying prominent skin cancer characteristics captured by the feature descriptors and learned during the evolutionary process. © 2024 IEEE.

关键词： Genetic programming

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TAG2TEXT: GUIDING VISION-LANGUAGE MODEL VIA IMAGE TAGGING 12

TAG2TEXT: GUIDING VISION-LANGUAGE MODEL VIA IMAGE TAGGING

引用

12th International Conference on Learning Representations, ICLR 2024

作者： Huang, Xinyu Zhang, Youcai Ma, Jinyu Tian, Weiwei Feng, Rui Zhang, Yuejie Li, Yaqian Guo, Yandong Zhang, Lei Shanghai Key Lab of Intell. Info. Processing School of Computer Science Fudan University China OPPO Research Institute China China Academy for Engineering and Technology Fudan University China

This paper presents Tag2Text, a vision language pre-training (VLP) framework, which introduces image tagging into vision-language models to guide the learning of visual-linguistic features. In contrast to prior works which utilize object tags either manually labeled or automatically detected with an off-the-shelf detector with limited performance, our approach explicitly learns an image tagger using tags parsed from image-paired text and thus provides a strong semantic guidance to vision-language models. In this way, Tag2Text can utilize large-scale annotation-free image tags in accordance with image-text pairs, and provides more diverse tag categories beyond objects. As a result, Tag2Text demonstrates the ability of a foundational image tagging model, with superior zero-shot performance even comparable to fully supervised models. Moreover, by leveraging the tagging guidance, Tag2Text effectively enhances the performance of vision-language models on both generation-based and alignment-based tasks. Across a wide range of downstream benchmarks, Tag2Text achieves state-of-the-art results with similar model sizes and data scales, demonstrating the efficacy of the proposed tagging guidance. Codes, demo and pre-trained models are available at https://***/xinyu1205/recognize-anything. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Image annotation

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Exploration and Assessment of Critical Covariates of Breast Cancer Outcomes via Between-Group Test of Survival Rates at Sir Run Run Shaw Hospital 13

Exploration and Assessment of Critical Covariates of Breast ...

引用

13th International Conference on info.mation Technology in Medicine and Education, ITME 2023

作者： Zhao, Youbing Zhang, Lingli Wu, Jiajun Hu, Wenxian Dong, Feng Qin, Aihong Zeng, Hao Xie, Hao Ma, Tongqing Liu, Enjie Lin, Shengyou Jin, Zhefan School of Media Engineering Communication University of Zhejiang Hangzhou China School of Info. Science and Engineering Yanshan University Qinhuangdao China Sir Run Run Shaw Hospital Zhejiang University Division of Surgical Oncology Hangzhou China University of Strathclyde Dept. of Computer & Info. Sciences Glasgow United Kingdom School of Computer Science University of Bedfordshire Luton United Kingdom

ISBN: (纸本)9798350319156

Breast cancer, being the most pervasive malignancy globally, poses a substantial threat to the well-being of the female population. Given the pronounced heterogeneity in survival times among affected individuals, a comprehensive examination of the factors governing treatment outcomes becomes imperative. Leveraging a sizable dataset comprising 2,757 breast cancer patients from Sir Run Run Shaw Hospital, the current study endeavors to assess the foremost covariates influencing the survival outcomes in breast cancer through survival analysis. The analytical framework commences with the application of Kendall analysis to effectuate dimensionality reduction on the dataset. Subsequently, an overarching survival analysis encompassing the pertinent factors is carried out, followed by a series of individual factor-specific survival assessments. Lastly, the results are visualised and discussed. The primary objective of this study is to evaluate the crucial covariates by employing a between-group test of survival rates. © 2023 IEEE.

关键词： Hospitals

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VisMole: A Molecular Representation based on Voxel for Molecular Property Prediction 5

VisMole: A Molecular Representation based on Voxel for Molec...

引用

5th International Conference on computer info.mation science and Artificial Intelligence, CISAI 2022

作者： Tong, Qiang Shen, Jiahao Liu, Xiulei Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Information Science and Technology University Beijing China Laboratory of Data Science and Information Studies Computer School Beijing Info. Science & Technology University Beijing China

ISBN: (纸本)9781510662520

To make computers understand the molecules, the first and important thing is to represent molecules in a proper way, which will affect the efficiency of chemistry tasks like property prediction and molecular design. In this work, we introduce a molecular representation for noncrystalline small molecules based on the theory of quantum physics. This representation captures the microscopic spatial structure of the molecule, which ensures it reflects more visual perception info.mation about the molecule. We use Drug3DNet as our baseline and test the efficiency of our representation. By comparing with several other representations, we prove that our representation performs better on most of the properties. © 2023 SPIE.

关键词： Molecules

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Integrating Structural info.mation: Comparing Classification-Based and Segmentation-Based Predictors in Bioinfo.matics (case study: protein-peptide region residue-level interaction) using structural info.mation 29

Integrating Structural Information: Comparing Classification...

引用

29th International computer Conference, computer Society of Iran, CSICC 2025

作者： Shafiee, Shima Fathi, Abdolhossein Safari, Faezeh Department of Computer Engineering and Information Technology Razi University Kermanshah Iran School of Electrical Eng. and Computer Science Faculty of Eng. Architecture and Info. Tech University of Queensland BrisbaneQLD Australia

ISBN: (纸本)9798331523114

Understanding the regions where proteins bind to peptides is vital for studying diseases like cancer, as it sheds light on various cellular processes and aids in drug discovery. Although researchers can experimentally investigate protein-peptide interactions at the region level by analyzing the structures of their complexes, only a limited number of these structures are known. Additionally, experiments to determine these interactions can be both costly and time-consuming. Computational methods provide an alternative and complementary approach to experimental techniques. As a result, using computational methods to predict peptide-binding regions can significantly enhance the efficiency and cost-effectiveness of experimental research. To leverage these advantages, this study introduces a new method named Structure-based Prediction of Residue-level Interaction of Peptides (SPRINT-Pep), designed to pinpoint the binding regions between proteins and peptides. This approach leverages two distinct predictive models: a classification-based model combining DeepResNet with a Support Vector Machine (SVM) and a segmentation-based model called DeepU-Net. Our predictions outperform other state-of-the-art methods in terms of F-measures (by at least 23%), precision (by at least 3.7%), and the balance between sensitivity and specificity (by about 7.7%). These findings demonstrate the proficiency of the proposed method. © 2025 IEEE.

关键词： Bioinfo.matics

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Security Coding Scheme for Satellite Communications

Security Coding Scheme for Satellite Communications

引用

2024 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2024

作者： Chen, Jong-Shin Sheu, Yung-Hoh Yang, Cheng-Ying Yao, Jenq-Foung J.F. Hwang, Min-Shiang Dept. of Info. and Comm. Eng. Chaoyang Uni. of Tech Taichung Taiwan Department of Computer Science and Information Engineering National Formosa University Yunlin Taiwan Department of Computer Science University of Taipei Taipei Taiwan Dept of Computer Science Georgia College and State University Milledgeville United States Dept. of C.S. & Info. Eng. Fintech and Blockchain Research Center Asia University Taichung Taiwan Dept. of Medical Research University Hospital China Medical University Taichung Taiwan

ISBN: (纸本)9798350389210

The major goal of a secure coding is to enable the authentic receiver could successfully recover the original message from the source. However. the satellite communications provide an open wireless environment. It hardly protects the transmitted info.mation from the eavesdroppers. Usually, the secure system employs the encryption, authorization and authentication schemes to avoid from the attacks. However, the undesired attacks have been continuously developed. In order to reduce the computing resource exhausted in the encryptions. Physical layer security coding based on Shannon's perfect secrecy, error-free cryptogram, might be applied to the satellite communications. Moreover, the coding scheme could reach the required critical security capacity. Also, it could approach the low error probability. However, the info.mation rate and the coding rate will suffer the system performance. To tradeoff the security level, info.mation rate and coding rate could be the important issue in the satellite communications. © 2024 IEEE.

关键词： Coding rate info.mation rate Physical-layer security Coding Secrecy capacity Shannon theorem

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Eliciting Course Feedback through a Bug Bounty Program 22

Eliciting Course Feedback through a Bug Bounty Program

引用

27th ACM Conference on Innovation and Technology in computer science Education, ITiCSE 2022

作者： Kapoor, Amanpreet Penton, Andrew Pierpont, Hamish Department of Engineering Education University of Florida GainesvilleFL United States Computer & Info. Science & Engineering University of Florida GainesvilleFL United States

ISBN: (纸本)9781450392006

In this paper, we present a bug bounty program that can aid instructors in systematically gathering formative feedback for iterative refinement of their course content. We describe the logistics of implementing the program, explain the types of content in which bugs are reported, elaborate on how students received the program, and evaluate if the program can be effective in improving the course quality. We present data from a large undergraduate Data Structures and Algorithms (DSA) course that was offered consecutively for four semesters. In total, 898 students enrolled in our course, 200 students reported at least one bug, and 373 bugs were reported in total related to incorrect or ambiguous content in instructional material, logistical errors such as broken links, and bugs in short programming problems such as less exhaustive testing. We found that a majority of the students who participated reported a single bug. We also found that the normalized number of bugs reported per student gradually decreased across semesters to almost one-half after two iterations (0.53 bugs reported/student in the first two semesters vs 0.28 bugs reported/student in the last two). This suggests that the program can be effectively used to iteratively refine the course content and improve the learner experience. Students received the program enthusiastically with 97% showing positive or neutral valence on the continuation of the program in future course offerings. © 2022 Owner/Author.

关键词： Students

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Standardization Review on 5G LAN-Type Service 15

Standardization Review on 5G LAN-Type Service

引用

15th International Conference on info.mation and Communication Technology Convergence, ICTC 2024

作者： Kyung, Yeunwoong Lee, Donghun Lee, Jaewook Kim, Youngjun Ko, Haneul Oh, Seungmin Lee, Jaehwan Kongju National University Div. of Info. & Comm. Eng. Cheonan Korea Republic of Pukyong National University Dep. of Info. and Comm. Engineering Busan Korea Republic of School of Computer Science and Eng. Kyungnam University Changwon Korea Republic of Kyung Hee University Dep. of Electronic Eng. Yongin-si Korea Republic of Kongju National University Dep. of Computer Science and Eng. Cheonan Korea Republic of

ISBN: (纸本)9798350364637

The 5G LAN-type service refers to a service that supports communication between users within a group through the 5G system. It provides functions similar to those of traditional Local Area Networks (LAN) or Virtual Private Networks (VPN), but it gains attention across various services due to the enhanced performance of 5G such as high throughput, low latency, mobility management, and security. The 3rd Generation Partnership Project (3GPP) introduced the 5G LAN-type service in Release 16 and defined the architecture, protocols, and requirements to support the 5G LAN-type service. In this paper, we briefly examine the architecture and components of the 5G network based on the 3GPP standard and introduce the structure and protocols for supporting 5G LAN-type services in a 5G network. © 2024 IEEE.

关键词： 5G mobile communication systems

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PDU Set-Based Traffic Handling for XR Service Support in 5G User Plane 15

PDU Set-Based Traffic Handling for XR Service Support in 5G ...

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15th International Conference on info.mation and Communication Technology Convergence, ICTC 2024

作者： Kyung, Yeunwoong Lee, Donghun Lee, Jaewook Ko, Haneul Oh, Seungmin Lee, Jaehwan Kim, Youngjun Kongju National University Div. of Info. & Comm. Eng. Cheonan Korea Republic of Pukyong National University Dep. of Info. and Comm. Engineering Busan Korea Republic of Kyung Hee University Dep. of Electronic Eng. Yongin-si Korea Republic of Kongju National University Dep. of Computer Science and Eng. Cheonan Korea Republic of School of Computer Science and Eng. Kyungnam University Changwon Korea Republic of

ISBN: (纸本)9798350364637

To support XR services, the 3GPP standards intro-duce a protocol data unit (PDU) set, which is the minimum group of packets needed to carry a video frame, and also define the relative importance of different PDU sets. This allows the network operator to handle network traffic based on the importance of PDU sets. 3GPP standards define two options for PDU set-based traffic handling in the user plane: 1) gNB-based and 2) UPF-based. This paper introduces a basic concept of PDU set and specifies two procedures for PDU set-based traffic handling in the user plane. © 2024 IEEE.

关键词： 5G mobile communication systems

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Concrete Structural Crack Damage Classification Using Nonlinear Dimension Reduction and Broad Learning System

Concrete Structural Crack Damage Classification Using Nonlin...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Wang, Bingshu Lin, Jia Zhuang, Xiaodong Zhang, Guanghui Chen, C.L. Philip School of Software Northwestern Polytechnical University Xi'an China Shenzhen University Guangdong Key Lab. of Intelligent Info. Processing and Shenzhen Key Laboratory of Media Security Shenzhen China School of Computer Science and Technology Shandong University Qingdao China School of Computer Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9781665410205

Concrete structural crack damage classification is of importance for road safety. This paper proposes a new method based on broad neural network for crack damage classification in concrete structures. It includes three stages. Firstly, a pre-trained deep neural network is used to extract the features from crack images. Secondly, principal component analysis is used to project the retrieved features from high dimensions to low dimensions. Thirdly, broad learning system is employed to predict the classification using the low-dimensional features. Experimental results demonstrate that this method reduces the model's training time and improves classification accuracy. © 2024 IEEE.

关键词： Deep neural networks

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