Risultati della ricerca - coding (algorithmssics OR (algorithm OR (algorithmsssssics OR (algorithm OR algorithm))))

Automated Deep Learning‐Based Pipelines for Multi‐Objective De Novo Protein Design di Amrita Nallathambi, Brian Kuhlman

Sommario: “... algorithm along with iterative structure prediction (AlphaFold2/AlphaFold3) and sequence design (ProteinMPNN...”
Testo

tigeR: Tumor immunotherapy gene expression data analysis R package di Yihao Chen, Li‐Na He, Yuanzhe Zhang, Jingru Gong, Shuangbin Xu, Yuelong Shu, Di Zhang, Guangchuang Yu, Zhixiang Zuo

Sommario: “... open‐source algorithms to obtain the proportions of different cell types within the tumor...”
Testo

Enhanced Reed–Solomon Error Correction Framework for Reliable Data Transmission in Noisy Communication Systems di Najah Kalifah Almazmomi

Sommario: “..., conventional error control techniques, like Reed–Solomon (RS) codes, often fail to achieve performance under...”
Testo

Simpler Protein Domain Identification Using Spectral Clustering di Frédéric Cazals, Jules Herrmann, Edoardo Sarti

Sommario: “... determination. A successful approach to do so is the SPECTRUS algorithm, which provides a segmentation based...”
Testo

A Novel Hyper‐Tuned Multilayer Perceptron With Effective Stochastic Learning Strategies for Missing Values Imputation di Muhammad Hameed Siddiqi, Madallah Alruwaili, Yousef Alhwaiti, Saad Alanazi, Faheem Khan

Sommario: “... the effectiveness of learning algorithms. The ensemble models and hyper‐tuned multi‐layer perceptron (MLP) with need...”
Testo

LeapFrog: The Rowhammer Instruction Skip Attack di Adiletta, Andrew, Tol, M. Caner, Derya, Kemal, Sunar, Berk, Islam, Saad

Sommario: “... present a new type of Rowhammer gadget, called a LeapFrog gadget, which, when present in the victim code...”
Testo

Mining Action Rules for Defect Reduction Planning di Oueslati, Khouloud, Laberge, Gabriel, Lamothe, Maxime, Khomh, Foutse

Sommario: “..., explainable AI for software engineering aims to identify the code characteristics that impact maintenance...”
Testo

Eliminating Backdoors in Neural Code Models for Secure Code Understanding di Sun, Weisong, Chen, Yuchen, Fang, Chunrong, Feng, Yebo, Xiao, Yuan, Guo, An, Zhang, Quanjun, Liu, Yang, Xu, Baowen, Chen, Zhenyu

Sommario: “...Neural code models (NCMs) have been widely used to address various code understanding tasks...”
Testo

Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language Models di Xu, Haocheng, Hu, Haotian, Huang, Sitao

Sommario: “..., existing HLS flows require programmers' hardware design expertise and rely on programmers' manual code...”
Testo

Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks di Lu, Jiawei, Wang, Haoye, Liu, Zhongxin, Liang, Keyu, Bao, Lingfeng, Yang, Xiaohu

Sommario: “...) to handle code intelligence tasks without fine-tuning. ICL employs task instructions and a set of examples...”
Testo

ObfusQate: Unveiling the First Quantum Program Obfuscation Framework di Bartake, Nikhil, Jie, See Toh Zi, Jiawen, Carmen Wong, Kasper, Michael, Balachandran, Vivek

Sommario: “... categories of obfuscations: quantum circuit level obfuscation and code level obfuscation, encompassing a...”
Testo

RepoScope: Leveraging Call Chain-Aware Multi-View Context for Repository-Level Code Generation di Liu, Yang, Zhang, Li, Liu, Fang, Wang, Zhuohang, Wei, Donglin, Yang, Zhishuo, Zhang, Kechi, Li, Jia, Shi, Lin

Sommario: “...Repository-level code generation aims to generate code within the context of a specified repository...”
Testo

TraceLLM: Security Diagnosis Through Traces and Smart Contracts in Ethereum di Wang, Shuzheng, Huang, Yue, Xu, Zhuoer, Huang, Yuming, Tang, Jing

Sommario: “... analysis remains difficult due to unverified code, proxy-based architectures, and the reliance on manual...”
Testo

Automated Compilation Including Dropouts: Tolerating Defective Components in Stabiliser Codes di Wolanski, Stasiu

Sommario: “..., to generate syndrome extraction circuits for general stabiliser codes in the presence of defective couplers...”
Testo

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models di Park, Chansung, Jiang, Juyong, Wang, Fan, Paul, Sayak, Shen, Jiasi, Tang, Jing, Li, Jianguo

Sommario: “... synthesizing algorithmically sophisticated and robust code still remains a critical challenge. Incentivizing...”
Testo

Structured Safety Auditing for Balancing Code Correctness and Content Safety in LLM-Generated Code di Tan, Honghao, Wang, Haibo, Tan, Shin Hwei

Sommario: “...Large language models (LLMs) for code generation are typically evaluated on functional correctness...”
Testo

Structural Anchors and Reasoning Fragility:Understanding CoT Robustness in LLM4Code di Liu, Yang, Song, Da, Foundjem, Armstrong, Li, Heng, Khomh, Foutse

Sommario: “... models for code (LLM4Code). However, its impact on robustness and the stability of reasoning trajectories...”
Testo

A Hierarchical-DBSCAN Method for Extracting Microservices from Monolithic Applications di Sellami, Khaled, Saied, Mohamed Aymen, Ouni, Ali

Sommario: “... the source code of the source application in order to measure the similarities and dependencies between all...”
Testo

Random site percolation thresholds on square lattice for complex neighborhoods containing sites up to the sixth coordination zone di Malarz, Krzysztof

Sommario: “... fast Monte Carlo algorithm and finite-size scaling theory the random site percolation thresholds $p_c...”
Testo

Unrolled and Pipelined Decoders based on Look-Up Tables for Polar Codes di Giard, Pascal, Shah, Syed Aizaz Ali, Balatsoukas-Stimming, Alexios, Stark, Maximilian, Bauch, Gerhard

Sommario: “...Unrolling a decoding algorithm allows to achieve extremely high throughput at the cost of increased...”
Testo