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It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science. Over the intervening years it has expanded considerably. The journal accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature. Papers whos primary concern falls outside the pattern recognition domain and which report routine applications of it using existing or well known methods, should be directed elsewhere. The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific people, (2) reviews of developments in the field, and (3) pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition. Submitted papers should be single column, double spaced, no less than 20 and no more than 35 (40 for a review) pages long, with numbered pages.</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-07-12</div> </div> </div> <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-list-alt"></i> Special Issues</div> </div> <div class="portlet-content"> <a name="5342"></a><pre>Special Issue on Graph Foundation Model for Medical Image Analysis</br>Submission Date: 2025-02-01</br></br>The integration of diverse medical imaging modalities, such as MRI, CT, PET, and histopathological images, presents significant opportunities for advancing precision medicine, diagnostics, and treatment strategies. However, the complexity of relationships within this imaging data poses unique challenges in data representation, fusion, and analysis. Graph foundation models, a powerful tool for capturing relationships and dependencies between imaging entities, are uniquely suited to address these challenges, especially in the context of medical imaging where connections between different types of images are crucial for holistic medical insights.This special issue is necessary to bring together the latest research contributions from both academia and industry, focusing specifically on the application of graph foundation models in medical image analysis. Unlike other general calls for machine learning or AI in healthcare, this special issue will provide a focused platform for exploring how graph foundation models can be harnessed to solve the unique problems associated with medical imaging data. The goal is to advance both the theoretical foundations and practical implementations of graph-based models in healthcare, bridging the gap between AI research and real-world medical applications. The special issue welcomes research contributions related to the following topics:Multimodal Integration Using Graph Foundation Models Graph Foundation Models for Segmentation, Detection, and Classification Explainable and Interpretable Graph Foundation Models Graph-Based Generative Models for Medical Image Synthesis Real-Time Graph Foundation Models in Clinical Practice Graph Foundation Models in Radiomics and Radiogenomics Clinical Applications of Graph Foundation Models for Personalized Medicine Guest editors: Yue Gao, PhD Tsinghua University, Beijing, China gaoyue@tsinghua.edu.cn Angelica I Aviles-Rivero, PhD University of Cambridge, Cambridge, UK ai323@cam.ac.uk Mingxia Liu, PhD University of North Carolina at Chapel Hill, North Carolina, USA mingxia_liu@med.unc.edu Manuscript submission information: The journal submission system (Editorial Manager®) will be open for submissions to our Special Issue from October 15, 2024. When submitting your manuscript please select the article type VSI: Graph Foundation Model. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors - Pattern Recognition - ISSN 0031-3203 | ScienceDirect.com by Elsevier. Important dates Submission Portal Open: October 15, 2024 Submission Deadline: February 01, 2025 Acceptance Deadline: June 01, 2025 Keywords: Foundation Model, Graph Neural Networks, Hypergraph Neural Networks, Medical Image Analysis</pre><div class="alert alert-warning">Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-10-24</div><a name="5341"></a><pre>Special Issue on From bench to the wild: Recent Advances in Computer Vision methods (WILD-VISION)</br>Submission Date: 2025-03-31</br></br>The rapid advancement of visual pattern recognition systems has led to their transition from laboratory settings to real-world applications, where they face the challenges of distribution shifts and adversarial samples. This special issue focuses on innovative methodologies that enhance the robustness and generalization capabilities of visual classifiers on unknown data in diverse, uncontrolled environments, addressing key issues such as dataset imbalance, adversarial attacks, and the exploitation of multi-modal systems. Submissions are encouraged from researchers exploring neural network architectures, data augmentation, multi-task learning, and multi-sensor fusion techniques to improve performance in real-world conditions. This special issue seeks to collect cutting-edge research that advances the generalization capabilities of visual classifiers under real-world conditions. The scope includes, but is not limited to, the development of robust neural network architectures, transformers, and machine learning models that address challenges such as distribution shift, adversarial attacks, and dataset imbalance. Contributions leveraging multi-task neural networks, multimodal approaches (e.g., vision-language models, multi-sensor fusion), and efficient, lightweight models for edge devices are highly encouraged. Papers should align with the broader topics of computer vision, image processing, multimedia systems, and biometrics, with a focus on improving real-world performance across various applications, including autonomous driving, cognitive robotics, and security-critical environments. Topics of interest are but not limited to: Novel Neural Networks or other Architectures (e.g. Transformers) for Dealing with Distribution Shifts in the Wild Data Augmentation Strategies, Generative and Degradation models for Enhancing Generalization on Unseen Data Robustness against Adversarial Attacks Bias Mitigation in Unbalanced Datasets Multi-task vs Single-task Learning in Real-world Scenarios Resource-efficient Architectures for Edge Computing and (near) Real-time Processing Vision-Language Models and other Multi-modal Approaches Multi-sensor Fusion for Enhanced Performance New Datasets and Benchmarks for Computer Vision Systems in the Wild Novel Applications and Case Studies Guest editors: George Azzopardi, PhD University of Groningen, Groningen, The Netherlands E-mail: g.azzopardi@rug.nl Laura Fernández Robles, PhD University of León, Leon, Spain E-mail: l.fernandez@unileon.es Antonio Greco, PhD University of Salerno, Fisciano, Italy E-mail: agreco@unisa.it Bruno Vento, PhD StudentUniversity of Naples Federico II, Napoli, Italy E-mail: bruno.vento@unina.it Manuscript submission information: The journal submission system (Editorial Manager®) will be open for submissions to our Special Issue from October 27, 2024. When submitting your manuscript please select the article type VSI: WILD-VISION. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors - Pattern Recognition - ISSN 0031-3203 | ScienceDirect.com by Elsevier. Important dates Submission Portal Open: October 27, 2024 Submission Deadline: March 31, 2025 Acceptance Deadline: September 01, 2025 Keywords: Distribution Shift, Data Augmentation, Adversarial Robustness, Bias Mitigation, Multi-task Learning, Edge Computing, Vision-Language Models, Multi-modal Fusion, Real-world Benchmarks, Resource-efficient Architectures</pre><div class="alert alert-warning">Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-10-24</div></div> </div>  <div class="portlet" id="yw3"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-file"></i> Related Journals</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw4" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw4_c0">CCF</th><th id="yw4_c1">Full Name</th><th id="yw4_c2">Impact Factor</th><th id="yw4_c3">Publisher</th><th id="yw4_c4">ISSN</th></tr> </thead> <tbody> <tr class="odd"> 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class="visible-phone"> <div id="yw5" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw5_c0">Full Name</th><th id="yw5_c1">Impact Factor</th><th id="yw5_c2">Publisher</th></tr> </thead> <tbody> <tr class="odd"> <td><a href="/journal/1029">Materials Letters</a></td><td>2.700</td><td>Elsevier</td></tr> <tr class="even"> <td><a href="/journal/703">Journal of Biomedical Informatics</a></td><td>4.000</td><td>Elsevier</td></tr> <tr class="odd"> <td><a href="/journal/1">ACM Transactions on Architecture and Code Optimization</a></td><td>1.500</td><td>ACM</td></tr> <tr class="even"> <td><a href="/journal/165">The Visual Computer</a></td><td>3.000</td><td>Springer</td></tr> <tr class="odd"> <td><a href="/journal/742">Journal of Materials Processing Technology</a></td><td>6.700</td><td>Elsevier</td></tr> <tr class="even"> <td><a href="/journal/642">International Journal of Digital Multimedia 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Services</a></td><td>2024-06-10</td><td>2024-10-08</td></tr> <tr class="odd"> <td>ITNAC</td><td><a href="/conference/1788">International Telecommunication Networks and Applications Conference</a></td><td>2023-09-01</td><td>2023-11-29</td></tr> <tr class="even"> <td>ICM''</td><td><a href="/conference/4159">International Congress on MANET</a></td><td>2021-07-10</td><td>2021-08-13</td></tr> <tr class="odd"> <td>ICSS'</td><td><a href="/conference/2448">International Conference on Software Security</a></td><td>2022-12-10</td><td>2022-12-23</td></tr> <tr class="even"> <td>ICBIP</td><td><a href="/conference/3735">International Conference on Biomedical Signal and Image Processing</a></td><td>2022-03-30</td><td>2022-08-19</td></tr> <tr class="odd"> <td>IRCDL</td><td><a href="/conference/2877">Italian Research Conference on Digital Libraries</a></td><td>2018-10-05</td><td>2019-01-31</td></tr> <tr class="even"> <td>SIPM</td><td><a href="/conference/3009">International Conference on Signal Image Processing and Multimedia</a></td><td>2023-05-13</td><td>2023-05-27</td></tr> </tbody> </table><div class="keys" style="display:none" title="/journal/198"><span>436</span><span>1578</span><span>2785</span><span>2956</span><span>1788</span><span>4159</span><span>2448</span><span>3735</span><span>2877</span><span>3009</span></div> </div></div> </div> </div> <div class="portlet" id="yw9"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-eye-open"></i> Recommendation</div> </div> <div class="portlet-content"> <div align="center"> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>  <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-6743617430731451" data-ad-slot="1870704128" data-ad-format="autorelaxed"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </div> </div> </div> </div> <div class="span2 hidden-phone"> <div class="sidebar-nav"> <ul id="yw10"> <li><a 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