Risultati della ricerca - coding (algorithm OR ((Algorithmsssic OR algorithmsssic) OR algorithmsssic))

github.com/broadinstitute/gatk-sv/GatherSampleEvidence di broadinstitute

Sommario: “... VCFs for this algorithm.</li> <li>Recommended: <a href="https://github.com...”
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github.com/Genometric/gatk-sv-dockstore/AnnotateVcf di Genometric

Sommario: “... cannot provide a public docker image or reference panel VCFs for this algorithm.</li> <li&gt...”
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github.com/broadinstitute/gatk-sv/GatherSampleEvidence di broadinstitute

Sommario: “... VCFs for this algorithm.</li> <li>Recommended: <a href="https://github.com...”
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Equivalent fixation. Another proof of the existence of God!!! di Artmen, Iliagtem

Sommario: “... are identical to those we fix in everyday design (machines, code, buildings), and these features are real...”
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GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator di Liu, Xingyu, Zhang, Ruida, Zhang, Chenyangguang, Wang, Gu, Tang, Jiwen, Li, Zhigang, Ji, Xiangyang

Sommario: “... followed by applying the RANSAC-based PnP or Kabsch algorithms, and further employing ICP for refinement...”
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Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks di Dahari, Amir, Kench, Steve, Squires, Isaac, Cooper, Samuel J.

Sommario: “... in terms of its fidelity and ease of use. Furthermore, much of the data required to train this algorithm...”
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Towards Generalized Few-Shot Open-Set Object Detection di Su, Binyi, Zhang, Hua, Li, Jingzhi, Zhou, Zhong

Sommario: “... to overfit on the known classes, resulting in a poor open-set performance. We propose a new G-FOOD algorithm...”
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Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training di Zoumpourlis, Georgios, Patras, Ioannis

Sommario: “.... Our algorithm outperforms all of the methods in both 5-fold cross-validation and leave-one-subject-out...”
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Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables di Li, Jiacheng, Chen, Chang, Cheng, Zhen, Xiong, Zhiwei

Sommario: “... for efficient image restoration algorithms. The way of caching deep learning models in a look-up table (LUT...”
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Securing Neural Networks with Knapsack Optimization di Gorski, Yakir, Jevnisek, Amir, Avidan, Shai

Sommario: “... devise an algorithm to choose the optimal set of patch sizes through a novel reduction of the problem...”
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Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling di Shao, Shitong, Dai, Xu, Li, Lujun, Chen, Huanran, Hu, Yang, Yin, Shouyi

Sommario: “... sampling algorithms via knowledge distillation rely on pre-trained model weights and discrete time step...”
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FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization di Lee, Jung Hyun, Kim, Jeonghoon, Kwon, Se Jung, Lee, Dongsoo

Sommario: “... developed algorithms to devise and learn a new weight-rounding scheme so as to better reconstruct each layer...”
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Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs? di Liang, Daojun, Zhang, Haixia, Yuan, Dongfeng, Ma, Xiaoyan, Li, Dongyang, Zhang, Minggao

Sommario: “... the suitable input length), a Multi-GPU Asynchronous parallel algorithm based on Bayesian Optimization (MABO...”
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FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering di Li, Zhenyu, Fan, Sunqi, Gu, Yu, Li, Xiuxing, Duan, Zhichao, Dong, Bowen, Liu, Ning, Wang, Jianyong

Sommario: “... the challenges inherent in the few-shot KBQA task. Specifically, FlexKBQA leverages automated algorithms...”
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Certifying LLM Safety against Adversarial Prompting di Kumar, Aounon, Agarwal, Chirag, Srinivas, Suraj, Li, Aaron Jiaxun, Feizi, Soheil, Lakkaraju, Himabindu

Sommario: “... prompts generated by the Greedy Coordinate Gradient (GCG) attack algorithm. The code for our experiments...”
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Multi-Device Task-Oriented Communication via Maximal Coding Rate Reduction di Cai, Chang, Yuan, Xiaojun, Zhang, Ying-Jun Angela

Sommario: “.... Specifically, we leverage the maximal coding rate reduction (MCR2) objective as a surrogate to represent...”
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Enhancing Interpretability and Generalizability in Extended Isolation Forests di Arcudi, Alessio, Frizzo, Davide, Masiero, Chiara, Susto, Gian Antonio

Sommario: “... Learning (ML) algorithms and Decision Support Systems (DSSs) provide effective solutions for AD...”
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Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? di Tsai, Yu-Lin, Hsu, Chia-Yi, Xie, Chulin, Lin, Chih-Hsun, Chen, Jia-You, Li, Bo, Chen, Pin-Yu, Yu, Chia-Mu, Huang, Chun-Ying

Sommario: “... by proposing one novel concept retrieval algorithm for evaluation. We introduce Ring-A-Bell, a model-agnostic...”
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Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Web di Ramesh, Vishal, Zhao, Rui, Goel, Naman

Sommario: “... such as Intel SGX rely on hardware based features for confidentiality and integrity of code and data. We discuss...”
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FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2 di Sdraka, Maria, Dimakos, Alkinoos, Malounis, Alexandros, Ntasiou, Zisoula, Karantzalos, Konstantinos, Michail, Dimitrios, Papoutsis, Ioannis

Sommario: “... use FLOGA to provide a thorough comparison of multiple Machine Learning and Deep Learning algorithms...”
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