Risultati della ricerca - (coding OR Decoding) (algorithm OR (algorithmics OR (algorithmssics OR algorithmssics)))

Towards Full Automation of Geometry Extraction for Biomechanical Analysis of Abdominal Aortic Aneurysm; Neural Network-Based versus Classical Methodologies di 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

Sommario: “... 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 di Wu, Jiayi, Lin, Xiaomin, Negahdaripour, Shahriar, Fermüller, Cornelia, Aloimonos, Yiannis

Sommario: “... 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 di Filippov, Sergey N., Maniscalco, Sabrina, García-Pérez, Guillermo

Sommario: “... 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 di Zhao, Chen, Zhang, Tong, Dang, Zheng, Salzmann, Mathieu

Sommario: “..., 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 di Shi, Long, Cao, Lei, Ye, Yunshan, Zhao, Yu, Chen, Badong

Sommario: “... 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 di Dawson, Charles, Parashar, Anjali, Fan, Chuchu

Sommario: “..., 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 di Li, Kewei, Wu, Yuqian, Li, Yinheng, Guo, Yutong, Wang, Yan, Liang, Yiyang, Fan, Yusi, Huang, Lan, Zhang, Ruochi, Zhou, Fengfeng

Sommario: “... 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 di Liu, Yuliang, Huang, Mingxin, Yan, Hao, Deng, Linger, Wu, Weijia, Lu, Hao, Shen, Chunhua, Jin, Lianwen, Bai, Xiang

Sommario: “...) 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 di Kang, Feiyang, Just, Hoang Anh, Sun, Yifan, Jahagirdar, Himanshu, Zhang, Yuanzhi, Du, Rongxing, Sahu, Anit Kumar, Jia, Ruoxi

Sommario: “... for subsequent fine-tuning while achieving desired performance levels. While many data selection algorithms have...”
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Rethinking Histology Slide Digitization Workflows for Low-Resource Settings di Zehra, Talat, Marino, Joseph, Wang, Wendy, Frantsuzov, Grigoriy, Nadeem, Saad

Sommario: “...), 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 di Shen, Zhiqiang, Cao, Peng, Su, Junming, Yang, Jinzhu, Zaiane, Osmar R.

Sommario: “... 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 di Karanov, Boris, Chen, Chin-Hung, Wu, Yan, Young, Alex, van Houtum, Wim

Sommario: “... 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 di Lacey, Dane C., Alappat, Christie L., Lange, Florian, Hager, Georg, Fehske, Holger, Wellein, Gerhard

Sommario: “...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 di Fan, Xiaohong, Chen, Ke, Yi, Huaming, Yang, Yin, Zhang, Jianping

Sommario: “... 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 di Huynh, Thanh Trung, Nguyen, Trong Bang, Nguyen, Phi Le, Nguyen, Thanh Tam, Weidlich, Matthias, Nguyen, Quoc Viet Hung, Aberer, Karl

Sommario: “... 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 di Huang, Baixiang, Luo, Yu, Wei, Guangyu, He, Songyan, Shao, Yushuang, Zeng, Xueying

Sommario: “..., with sensitivity of 0.9832 and specificity of 0.9933. Additionally, the stenosis detection algorithm achieved a...”
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A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder di Zheng, Jingjing, Yuan, Xin, Li, Kai, Ni, Wei, Tovar, Eduardo, Crowcroft, Jon

Sommario: “... of misclassifications with LayerCAM-AE, a voting algorithm is developed, where a local model update is flagged...”
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SPIN: Spacecraft Imagery for Navigation di Montalvo, Javier, Pérez-Villar, Juan Ignacio Bravo, García-Martín, Álvaro, Carballeira, Pablo, Bescós, Jesús

Sommario: “... challenge for developing learning-based visual navigation algorithms crucial for autonomous spacecraft...”
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The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs di Wang, Kun, Zhang, Guibin, Zhang, Xinnan, Fang, Junfeng, Wu, Xun, Li, Guohao, Pan, Shirui, Huang, Wei, Liang, Yuxuan

Sommario: “... snowflake hypothesis; (4) efficiency comparison with existing graph pruning algorithms. Our observations...”
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ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation di Mei, Zhiyu, Fu, Wei, Li, Kaiwei, Wang, Guangju, Zhang, Huanchen, Wu, Yi

Sommario: “... on this concept, ReaL employs a tailored search algorithm with a lightweight run-time estimator to automatically...”
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