Výsledky vyhledávání - "Theory of computation Theory and algorithms for application domains Machine learning theory"

Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System Autor Huang, Jun, Yang, Yang, Yu, Hang, Li, Jianguo, Zheng, Xiao

“…Microservice architecture has sprung up over recent years for managing enterprise applications, due to its ability to independently deploy and scale services…”
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Holistic Design towards Resource-Stringent Binary Vector Symbolic Architecture Autor Duan, Shijin, Narkthong, Nuntipat, Luo, Yukui, Ren, Shaolei, Xu, Xiaolin

“…Classification tasks on ultra-lightweight devices demand devices that are resource-constrained and deliver swift responses. Binary Vector Symbolic Architecture…”
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Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders Autor Ludmir, Jason Zev, Rebello, Sophia, Ruiz, Jacob, Patel, Tirthak

“…Detecting mission-critical anomalous events and data is a crucial challenge across various industries, including finance, healthcare, and energy. Quantum…”
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Scalable Community Detection Using Quantum Hamiltonian Descent and QUBO Formulation Autor Cheng, Jinglei, Zhou, Ruilin, Gan, Yuhang, Qian, Chen, Liu, Junyu

“…We present a quantum-inspired algorithm that utilizes Quantum Hamiltonian Descent (QHD) for efficient community detection. Our approach reformulates the…”
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MAGIKA: AI-Powered Content-Type Detection Autor Fratantonio, Yanick, Invernizzi, Luca, Farah, Loua, Thomas, Kurt, Zhang, Marina, Albertini, Ange, Galilee, Francois, Metitieri, Giancarlo, Cretin, Julien, Petit-Bianco, Alex, Tao, David, Bursztein, Elie

“…The task of content-type detection-which entails identifying the data encoded in an arbitrary byte sequence-is critical for operating systems, development,…”
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A Multiple Representation Transformer with Optimized Abstract Syntax Tree for Efficient Code Clone Detection Autor Yu, Tianchen, Yuan, Li, Lin, Liannan, He, Hongkui

“…Over the past decade, the application of deep learning in code clone detection has produced remarkable results. However, the current approaches have two…”
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Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion Autor Duan, Chiming, Yang, Yong, Jia, Tong, Liu, Guiyang, Liu, Jinbu, Zhang, Huxing, Zhou, Qi, Li, Ying, Huang, Gang

“…Accurately diagnosing the fault that causes the failure is crucial for maintaining the reliability of a microservice system after a failure occurs. Mainstream…”
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Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers Autor Li, Zhen, Zhang, Ruqian, Zou, Deqing, Wang, Ning, Li, Yating, Xu, Shouhuai, Chen, Chen, Jin, Hai

“…Deep learning has been widely used in source code classification tasks, such as code classification according to their functionalities, code authorship…”
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SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice Autor Ren, Rui, Yang, Jingbang, Yang, Linxiao, Gu, Xinyue, Sun, Liang

“…In real-world microservice systems, the newly deployed service -one kind of change service, could lead to a new type of minority fault. Existing…”
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ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems Autor Gu, Wenwei, Gu, Jiazhen, Liu, Jinyang, Chen, Zhuangbin, Zhang, Jianping, Kuang, Jinxi, Feng, Cong, Yang, Yongqiang, Lyu, Michael R.

“…A common practice in the reliability engineering of cloud services involves the collection of monitoring metrics, followed by comprehensive analysis to…”
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IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation Autor Chen, Yi, Liu, Ning, Ren, Ao, Yang, Tao, Liu, Duo

“…Data-free knowledge distillation (DFKD) explores training a compact student network only by a pre-trained teacher without real data. Prevailing DFKD methods…”
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Invited: Algorithms and Architectures for Accelerating Long Read Sequence Analysis Autor Gamaarachchi, Hasindu, Liyanage, Kisaru, Parameswaran, Sri

“…Genome sequencing is continuing to revolutionize the medical, forensics, agricultural, and biosecurity fields. The enormous amounts of data from modern…”
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Optimal Memory Allocation and Scheduling for DMA Data Transfers under the LET Paradigm Autor Pazzaglia, Paolo, Casini, Daniel, Biondi, Alessandro, Natale, Marco Di

“…The Logical Execution Time (LET) paradigm is increasingly used to achieve predictable communications in modern multicore automotive applications. Direct Memory…”
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Nested Weighted Automata Autor Chatterjee, Krishnendu, Henzinger, Thomas A., Otop, Jan

“…Recently there has been a significant effort to handle quantitative properties in formal verification and synthesis. While weighted automata over finite and…”
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SMT-Based Cost Optimization Approach for the Integration of Avionic Functions in IMA and TTEthernet Architectures Autor Beji, Sofiene, Hamadou, Sardaouna, Gherbi, Abdelouahed, Mullins, John

“…The design of avionic systems is a complex engineering activity. The iterative integration approach helps in controlling the complexity of such activity. On…”
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Making Fair ML Software using Trustworthy Explanation Autor Chakraborty, Joymallya, Peng, Kewen, Menzies, Tim

“…Machine learning software is being used in many applications (finance, hiring, admissions, criminal justice) having huge social impact. But sometimes the…”
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Multiple-Boundary Clustering and Prioritization to Promote Neural Network Retraining Autor Shen, Weijun, Li, Yanhui, Chen, Lin, Han, Yuanlei, Zhou, Yuming, Xu, Baowen

“…With the increasing application of deep learning (DL) models in many safety-critical scenarios, effective and efficient DL testing techniques are much in…”
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Development of a Schedulability Analysis Framework Based on pTPN and UPPAAL with Stopwatches Autor Cicirelli, F., Furfaro, A., Nigro, L., Pupo, F.

“…This paper proposes an original schedulability framework which is based on preemptive Time Petri Nets (pTPNs) and UPPAAL with stopwatches (UPPAALSW). The…”
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ALISE: Accelerating Large Language Model Serving with Speculative Scheduling Autor Zhao, Youpeng, Wang, Jun

“…Large Language Models (LLMs) represent a revolutionary advancement in the contemporary landscape of artificial general intelligence (AGI). As exemplified by…”
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Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain Autor Huang, Qing, Wan, Zhenyu, Xing, Zhenchang, Wang, Changjing, Chen, Jieshan, Xu, Xiwei, Lu, Qinghua

“…API recommendation methods have evolved from literal and semantic keyword matching to query expansion and query clarification. The latest query clarification…”
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