Résultats de la recherche - coding (algorithmics OR (algorithm OR (algorithm OR algorithm)))

Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection par Li, Jiajia, Chen, Dong, Yin, Xunyuan, Li, Zhaojian

Table des matières: “… algorithms are mainly developed based on supervised learning approaches, which typically demand large-scale…”
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ClickVOS: Click Video Object Segmentation par Guo, Pinxue, Hong, Lingyi, Zhou, Xinyu, Gao, Shuyong, Li, Wanyun, Li, Jinglun, Chen, Zhaoyu, Li, Xiaoqiang, Zhang, Wei, Zhang, Wenqiang

Table des matières: “…-the-shelf algorithms from related fields, which could provide insights for the further exploration…”
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FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables par Qi, Danrui, Zheng, Weiling, Wang, Jiannan

Table des matières: “… and propose a novel warm-up strategy to optimize it. To make our algorithm more practical, we also study how…”
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Towards Full Automation of Geometry Extraction for Biomechanical Analysis of Abdominal Aortic Aneurysm; Neural Network-Based versus Classical Methodologies par Alkhatib, Farah, Jamshidian, Mostafa, Liepvre, Donatien Le, Bernard, Florian, Minvielle, Ludovic, Fondanèche, Antoine, Gizewski, Elke R., Gassner, Eva, Loizides, Alexander, Lutz, Maximilian, Enzmann, Florian, Mufty, Hozan, Fourneau, Inge, Wittek, Adam, Miller, Karol

Table des matières: “… by NUREA (https://www.nurea-soft.com/), developed based on artificial intelligence (AI) algorithms…”
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MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation par Wu, Jiayi, Lin, Xiaomin, Negahdaripour, Shahriar, Fermüller, Cornelia, Aloimonos, Yiannis

Table des matières: “… computer vision algorithms struggle to differentiate between real and virtual image regions, significantly…”
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Scalability of quantum error mitigation techniques: from utility to advantage par Filippov, Sergey N., Maniscalco, Sabrina, García-Pérez, Guillermo

Table des matières: “… of the universality of algorithms, stemming from the commercial need for a problem-independent quantum simulation…”
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DVMNet++: Rethinking Relative Pose Estimation for Unseen Objects par Zhao, Chen, Zhang, Tong, Dang, Zheng, Salzmann, Mathieu

Table des matières: “…, we introduce a weighted closest voxel algorithm capable of mitigating the impact of noisy voxels. We…”
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Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering par Shi, Long, Cao, Lei, Ye, Yunshan, Zhao, Yu, Chen, Badong

Table des matières: “… an algorithm to address the optimization problem. Experiments on six datasets have demonstrated the superiority…”
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RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling par Dawson, Charles, Parashar, Anjali, Fan, Chuchu

Table des matières: “…, we provide a gradient-free version of our algorithm, and we include a theoretical and empirical…”
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AMPCliff: quantitative definition and benchmarking of activity cliffs in antimicrobial peptides par Li, Kewei, Wu, Yuqian, Li, Yinheng, Guo, Yutong, Wang, Yan, Liang, Yiyang, Fan, Yusi, Huang, Lan, Zhang, Ruochi, Zhou, Fengfeng

Table des matières: “… to evaluate various AMP AC prediction models, including nine machine learning, four deep learning algorithms…”
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VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-domain Generalization par Liu, Yuliang, Huang, Mingxin, Yan, Hao, Deng, Linger, Wu, Weijia, Lu, Hao, Shen, Chunhua, Jin, Lianwen, Bai, Xiang

Table des matières: “…) by leveraging the Content Deformation Fields (CoDeF) algorithm. Notably, our method outperforms the state…”
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Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs par Kang, Feiyang, Just, Hoang Anh, Sun, Yifan, Jahagirdar, Himanshu, Zhang, Yuanzhi, Du, Rongxing, Sahu, Anit Kumar, Jia, Ruoxi

Table des matières: “… for subsequent fine-tuning while achieving desired performance levels. While many data selection algorithms have…”
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Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern par Sajid, M., Sharma, Rahul, Beheshti, Iman, Tanveer, M.

Table des matières: “… and accurate assessment of SMC. The source codes of the algorithms and datasets used in this study…”
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Rethinking Histology Slide Digitization Workflows for Low-Resource Settings par Zehra, Talat, Marino, Joseph, Wang, Wendy, Frantsuzov, Grigoriy, Nadeem, Saad

Table des matières: “…), knowledge sharing (education), and using the state-of-the-art artificial intelligence algorithms (augmented…”
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Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation Perspective par Shen, Zhiqiang, Cao, Peng, Su, Junming, Yang, Jinzhu, Zaiane, Osmar R.

Table des matières: “… paradigm. Specifically, we first design a novel noise-free labeled data construction algorithm (NFC…”
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Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise par Karanov, Boris, Chen, Chin-Hung, Wu, Yan, Young, Alex, van Houtum, Wim

Table des matières: “… in coded transmission over intersymbol interference (ISI) channels in presence of bursty impulsive noise…”
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Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels par Lacey, Dane C., Alappat, Christie L., Lange, Florian, Hager, Georg, Fehske, Holger, Wellein, Gerhard

Table des matières: “…Sparse matrix-vector products (SpMVs) are a bottleneck in many scientific codes. Due to the heavy…”
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MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction par Fan, Xiaohong, Chen, Ke, Yi, Huaming, Yang, Yin, Zhang, Jianping

Table des matières: “… imaging algorithms for sparse-view tomography reconstructions. We propose a novel dual-domain deep…”
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Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience par Huynh, Thanh Trung, Nguyen, Trong Bang, Nguyen, Phi Le, Nguyen, Thanh Tam, Weidlich, Matthias, Nguyen, Quoc Viet Hung, Aberer, Karl

Table des matières: “… an algorithm to systematically remove the impact of the target client from the trained model. In addition…”
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A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic Images par Huang, Baixiang, Luo, Yu, Wei, Guangyu, He, Songyan, Shao, Yushuang, Zeng, Xueying

Table des matières: “…, with sensitivity of 0.9832 and specificity of 0.9933. Additionally, the stenosis detection algorithm achieved a…”
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