Search Results - coding ((algorithmics OR (algorithm OR algorithm)) OR (algorithm OR Algorithmsssics))

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

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

Table of Contents: “…-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 by Qi, Danrui, Zheng, Weiling, Wang, Jiannan

Table of Contents: “… 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 by 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 of Contents: “… 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 by Wu, Jiayi, Lin, Xiaomin, Negahdaripour, Shahriar, Fermüller, Cornelia, Aloimonos, Yiannis

Table of Contents: “… 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 by Filippov, Sergey N., Maniscalco, Sabrina, García-Pérez, Guillermo

Table of Contents: “… 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 by Zhao, Chen, Zhang, Tong, Dang, Zheng, Salzmann, Mathieu

Table of Contents: “…, 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 by Shi, Long, Cao, Lei, Ye, Yunshan, Zhao, Yu, Chen, Badong

Table of Contents: “… 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 by Dawson, Charles, Parashar, Anjali, Fan, Chuchu

Table of Contents: “…, 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 by Li, Kewei, Wu, Yuqian, Li, Yinheng, Guo, Yutong, Wang, Yan, Liang, Yiyang, Fan, Yusi, Huang, Lan, Zhang, Ruochi, Zhou, Fengfeng

Table of Contents: “… 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 by Liu, Yuliang, Huang, Mingxin, Yan, Hao, Deng, Linger, Wu, Weijia, Lu, Hao, Shen, Chunhua, Jin, Lianwen, Bai, Xiang

Table of Contents: “…) 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 by Kang, Feiyang, Just, Hoang Anh, Sun, Yifan, Jahagirdar, Himanshu, Zhang, Yuanzhi, Du, Rongxing, Sahu, Anit Kumar, Jia, Ruoxi

Table of Contents: “… 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 by Sajid, M., Sharma, Rahul, Beheshti, Iman, Tanveer, M.

Table of Contents: “… 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 by Zehra, Talat, Marino, Joseph, Wang, Wendy, Frantsuzov, Grigoriy, Nadeem, Saad

Table of Contents: “…), 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 by Shen, Zhiqiang, Cao, Peng, Su, Junming, Yang, Jinzhu, Zaiane, Osmar R.

Table of Contents: “… 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 by Karanov, Boris, Chen, Chin-Hung, Wu, Yan, Young, Alex, van Houtum, Wim

Table of Contents: “… 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 by Lacey, Dane C., Alappat, Christie L., Lange, Florian, Hager, Georg, Fehske, Holger, Wellein, Gerhard

Table of Contents: “…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 by Fan, Xiaohong, Chen, Ke, Yi, Huaming, Yang, Yin, Zhang, Jianping

Table of Contents: “… 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 by Huynh, Thanh Trung, Nguyen, Trong Bang, Nguyen, Phi Le, Nguyen, Thanh Tam, Weidlich, Matthias, Nguyen, Quoc Viet Hung, Aberer, Karl

Table of Contents: “… 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 by Huang, Baixiang, Luo, Yu, Wei, Guangyu, He, Songyan, Shao, Yushuang, Zeng, Xueying

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