Risultati della ricerca - (coding OR decoding) (algorithm OR (Algorithmssssic OR Algorithmssssic))

Measurement Study of Programmable Network Coding in Cloud-native 5G and Beyond Networks di Lhamo, Osel, Doan, Tung V., Tasdemir, Elif, Attawna, Mahdi, Nguyen, Giang T., Seeling, Patrick, Reisslein, Martin, Fitzek, Frank H. P.

Sommario: “... nodes to join the coding process. Both the proposed algorithms have been implemented on OpenAirInterface...”
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Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization di Xue, Xiaoming, Hu, Yao, Feng, Liang, Zhang, Kai, Song, Linqi, Tan, Kay Chen

Sommario: “...-assisted evolutionary algorithms (SAEAs) that have been developed for solving such problems, most of them...”
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Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack di Jin, Zhibo, Zhang, Jiayu, Zhu, Zhiyu, Zhang, Chenyu, Huang, Jiahao, Zhou, Jianlong, Chen, Fang

Sommario: “... this backdrop, we have delved into the complexities of adversarial attack algorithms, dissecting the adversarial...”
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Vanilla Gradient Descent for Oblique Decision Trees di Panda, Subrat Prasad, Genest, Blaise, Easwaran, Arvind, Suganthan, Ponnuthurai Nagaratnam

Sommario: “... differentiable. This enables highly efficient gradient-descent algorithms to be used to learn DTs. It also...”
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NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models di Nguyen, Tuc, Michels, James, Shen, Hua, Le, Thai

Sommario: “... algorithm that generates AEs for text classification tasks. Our approach achieves high fidelity of up to 95...”
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LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection di Yu, Zhongwen, Guan, Qiu, Yang, Jianmin, Yang, Zhiqiang, Zhou, Qianwei, Chen, Yang, Chen, Feng

Sommario: “...In existing medical Region of Interest (ROI) detection, there lacks an algorithm that can...”
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Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities di Swarup, Anushka, Bhandarkar, Avanti, Dizon-Paradis, Olivia P., Wilson, Ronald, Woodard, Damon L.

Sommario: “... on extensive experiments conducted using 15 state-of-the-art relation extraction algorithms ranging from...”
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PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation di Gao, Ning, Zhou, Sanping, Wang, Le, Zheng, Nanning

Sommario: “... of leading models. Furthermore, a simple yet effective pseudo-label filtering algorithm is employed...”
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SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with Mamba di Zhang, Xiangning, Zhang, Qingwei, Chen, Jinnan, Zhou, Chengfeng, Wang, Yaqi, Zhang, Zhengjie, Li, Xiaobo, Qian, Dahong

Sommario: “... algorithms, constrained by inefficient temporal context modeling, exhibit limited performance in capturing...”
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Steward: Natural Language Web Automation di Tang, Brian, Shin, Kang G.

Sommario: “..., and Playwright are not scalable for extensive web interaction tasks, such as studying recommendation algorithms...”
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HLB: Benchmarking LLMs' Humanlikeness in Language Use di Duan, Xufeng, Xiao, Bei, Tang, Xuemei, Cai, Zhenguang G.

Sommario: “... in these experiments. For rigorous evaluation, we developed a coding algorithm that accurately identified language...”
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Simulating radio emission from particle cascades with CORSIKA 8 di Alameddine, J. M., Albrecht, J., Ammerman-Yebra, J., Arrabito, L., Alves Jr., A. A., Baack, D., Coleman, A., Dembinski, H., Elsässer, D., Engel, R., Faure, A., Ferrari, A., Gaudu, C., Glaser, C., Gottowik, M., Heck, D., Huege, T., Kampert, K. H., Karastathis, N., Nellen, L., Pierog, T., Prechelt, R., Reininghaus, M., Rhode, W., Riehn, F., Sackel, M., Sampathkumar, P., Sandrock, A., Soedingrekso, J., Ulrich, R.

Sommario: “... implemented in modern C++17, based on past experience with existing codes, in particular CORSIKA 7...”
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Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation di Wu, Qing, Du, Chenhe, Tian, Xuanyu, Yu, Jingyi, Zhang, Yuyao, Wei, Hongjiang

Sommario: “... to the unpredictability of subject movement. Current state-of-the-art (SOTA) MoCo algorithms often rely on extensive high...”
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Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction di Shi, Zhenmei, Ming, Yifei, Nguyen, Xuan-Phi, Liang, Yingyu, Joty, Shafiq

Sommario: “... generating answers to a query. Leveraging this insight, we propose an algorithm that uses early layers...”
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The Unlikely Hero: Nonideality in Analog Photonic Neural Networks as Built-in Defender Against Adversarial Attacks di Lu, Haotian, Yin, Ziang, Bhoumik, Partho, Banerjee, Sanmitra, Chakrabarty, Krishnendu, Gu, Jiaqi

Sommario: “... and boosting efficiency with various hardware/algorithm co-design methods. However, the adversarial robustness...”
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ARB-LLM: Alternating Refined Binarizations for Large Language Models di Li, Zhiteng, Yan, Xianglong, Zhang, Tianao, Qin, Haotong, Xie, Dong, Tian, Jiang, shi, zhongchao, Kong, Linghe, Zhang, Yulun, Yang, Xiaokang

Sommario: “...-precision weights, we first design an alternating refined binarization (ARB) algorithm to progressively...”
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ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training di Liu, Weihuang, Shen, Xi, Pun, Chi-Man, Cun, Xiaodong

Sommario: “.... Previous algorithms to detect these fakes often fail in new, real-world scenarios because they are trained...”
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VolDen: a tool to extract number density from the column density of filamentary molecular clouds di K, Ashesh A., Eswaraiah, Chakali, Reddy, P Ujwal, Wang, Jia-Wei

Sommario: “... VolDen an novel python-based algorithm to extract the number density map from the column density map...”
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Reward-Augmented Data Enhances Direct Preference Alignment of LLMs di Zhang, Shenao, Liu, Zhihan, Liu, Boyi, Zhang, Yufeng, Yang, Yingxiang, Liu, Yongfei, Chen, Liyu, Sun, Tao, Wang, Zhaoran

Sommario: “... to adhere to human instructions and intentions. However, existing direct alignment algorithms primarily...”
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Poison-splat: Computation Cost Attack on 3D Gaussian Splatting di Lu, Jiahao, Zhang, Yifan, Shen, Qiuhong, Wang, Xinchao, Yan, Shuicheng

Sommario: “... increase the computation memory and time needed for 3DGS training, pushing the algorithm towards its worst...”
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