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Showing 64015 results for "machine learning" in Computer Science
Computer Science Preprint PDF DOI

GenDetect: Generalizing Reactive Detection for Resilience Against Imitative DeFi Attack Cascade

Bowen Cai, Weiheng Bai, Youshui Lu, Haoran Xu, Yuannan Yang, Yajin Zhou, Kangjie Lu ยท 2026

As blockchain ecosystems grow, financially motivated attackers increasingly exploit decentralized finance (DeFi) protocols, causing frequent and severe losses. Unlike conventional cyberattacks, DeFi eโ€ฆ

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NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation

Haoran Wan, Yaxiong Xie, Kyle Jamieson ยท 2026

Current and future applications demand ultra-low latency and consistent throughput, yet frequently traverse 5G cellular networks, so cope with volatile packet dynamics, as 5G base station schedulers dโ€ฆ

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Incremental Strongly Connected Components with Predictions

Ronald Deng, Samuel McCauley, Aidin Niaparast, Helia Niaparast, Bennett Ptak, Shirel Quintanilla, Shikha Singh, Nathan Vosburg ยท 2026

Algorithms with predictions is a growing area that aims to leverage machine-learned predictions to design faster beyond-worst-case algorithms. In this paper, we use this framework to design a learned โ€ฆ

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Three Models of RLHF Annotation: Extension, Evidence, and Authority

Steve Coyne ยท 2026

Preference-based alignment methods, most prominently Reinforcement Learning with Human Feedback (RLHF), use the judgments of human annotators to shape large language model behaviour. However, the normโ€ฆ

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Prime-Field PINI: Machine-Checked Composition Theorems for Post-Quantum NTT Masking

Ray Iskander, Khaled Kirah ยท 2026

This is Paper 6 of a series of formally-verified analyses of masked NTT hardware for post-quantum cryptography; Paper 1 [1] established structural dependency analysis of the QANARY platform, and Paperโ€ฆ

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Tight Bounds for some W[1]-hard Problems Parameterized by Multi-clique-width

Benjamin Bergougnoux, Vera Chekan, Stefan Kratsch ยท 2026

In this work we contribute to the study of the fine-grained complexity of problems parameterized by multi-clique-width, which was initiated by F\"urer [ITCS 2017] and pursued further by Chekan and Kraโ€ฆ

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Hands-on PDC in Undergraduate Computing Education

Hala ElAarag, Anas Gamal Aly ยท 2026

Parallel and Distributed Computing (PDC) is a critical yet conceptually challenging area of the undergraduate computer science curriculum. While students often encounter these concepts in theory, few โ€ฆ

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EOS-Bench: A Comprehensive Benchmark for Earth Observation Satellite Scheduling

Qian Yin, Jiaxing Li, Jiaqi Cheng, Qizhang Luo, Annalisa Riccardi, Abhijit Chatterjee, Rafael Vazquez, Carlo Novara, Michalis Mavrovouniotis, Ponnuthurai Nagaratnam Suganthan, Shengzhou Bai, Xiaoxuan Hu, Lining Xing, Ming Xu, Shuang Li, Zixuan Zheng, Xin Shen, Xiaoyu Chen, Yi Gu, Yanjie Song, Witold Pedrycz, Evan L. Kramer, Laio Oriel Seman, Cletah Shoko, Guohua Wu, Xinwei Wang ยท 2026

Earth observation satellite imaging scheduling is a challenging NP-hard combinatorial optimisation problem central to space mission operations. While next-generation agile Earth observation satellitesโ€ฆ

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Threat-Oriented Digital Twinning for Security Evaluation of Autonomous Platforms

Thomas J. Neubert, Laxima Niure Kandel, Berker Pekoz ยท 2026

Open, unclassified research on secure autonomy is constrained by limited access to operational platforms, contested communications infrastructure, and representative adversarial test conditions. This โ€ฆ

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Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users

Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinghua Zhang, Wenyuan Zhang, Yong Sun, Shirui Pan, Zhihong Tian, Tingwen Liu ยท 2026

Cross-domain recommendation (CDR) has demonstrated to be an effective solution for alleviating the user cold-start issue. By leveraging rich user-item interactions available in a richly informative soโ€ฆ

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Designing and Evaluating Next-Generation Learning Interfaces: Linking AI, HCI, and the Learning Sciences

Meng Xia, Yan Chen, Qiao Jin, Yang Shi, Paul Denny, Tiffany Barnes, Qingsong Wen, Vincent Aleven ยท 2026

This workshop addresses this gap by bringing together researchers and practitioners from AI, HCI, and the learning sciences to explore how interactive systems can better support learning. We focus on โ€ฆ

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Learning Generalizable Multimodal Representations for Software Vulnerability Detection

Zeming Dong, Yuejun Guo, Qiang Hu, Yao Zhang, Maxime Cordy, Hao Liu, Mike Papadakis, Yongqiang Lyu ยท 2026

Source code and its accompanying comments are complementary yet naturally aligned modalities-code encodes structural logic while comments capture developer intent. However, existing vulnerability deteโ€ฆ

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Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics

Pernilla Hall, Anton Ununger, Riccardo Rubei, Alessio Bucaioni ยท 2026

Software quality assurance remains a major challenge in industrial environments, where large-scale and long-lived systems inevitably accumulate defects. Identifying the location of a fault is often tiโ€ฆ

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K-CARE: Knowledge-driven Symmetrical Contextual Anchoring and Analogical Prototype Reasoning for E-commerce Relevance

Chen Yifei, Tian Zhixing, Wang Chenyang, Cheng Ziguang ยท 2026

This paper targets e-commerce search relevance. While Large Language Models (LLMs) have demonstrated significant potential in this field, they often encounter performance bottlenecks in persistent 'coโ€ฆ

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Curiosity and Metacognition: Towards a Unified Framework for Learning and Education in the Age of AI

Chloe Desvaux, Rania Abdelghani, Pierre-Yves Oudeyer, Helene Sauzeon ยท 2026

This chapter examines the relationship between curiosity and metacognition as critical drivers of autonomous and self-regulated learning. We synthesize recent research to propose a unified framework iโ€ฆ

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Health System Scale Semantic Search Across Unstructured Clinical Notes

Faith Wavinya Mutinda, Spandana Makeneni, Anna Lin, Shivaji Dutta, Irit R. Rasooly, Patrick Dibussolo, Shivani Kamath Belman, Hessam Shahriari, Kevin Murphy, Alex B. Ruan, Barbara H. Chaiyachati, Sanjay Chainani, Robert W. Grundmeier, Scott M. Haag, Jeffrey M. Miller, Heather M. Griffis, Ian M. Campbell ยท 2026

Introduction: Semantic search, which retrieves documents based on conceptual similarity rather than keyword matching, offers substantial advantages for retrieval of clinical information. However, deplโ€ฆ

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Volitional Multiagent Atomic Transactions: Describing People and their Machines

Andy Lewis-Pye, Ehud Shapiro ยท 2026

Formal models for concurrent and distributed systems describe machines; the people who operate them are either ignored or treated as external environment. Yet key distributed systems -- notably grassrโ€ฆ

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Grouped Color Deletion, Lasserre Exactness and Clique-Sum Locality for Rainbow Matching

Georgios Stamoulis ยท 2026

We study the rainbow matching (RM) problem: given an edge-colored graph, find a maximum matching with at most one edge of each color. Rainbow matchings correspond to stable sets in the \emph{augmentedโ€ฆ

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Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems

Luyao Wang ยท 2026

Deploying an intrusion detector trained in one industrial plant to another remains difficult because Industrial Control System (ICS) traffic is highly site-dependent, labels are scarce, and unseen attโ€ฆ

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AI as Consumer and Participant: A Co-Design Agenda for MBSE Substrates and Methodology

Siyuan Ji ยท 2026

AI tools are being deployed over MBSE models today, and those models were not designed for this kind of consumption. The problem is not simply that tools hallucinate: well-prompted frontier models proโ€ฆ

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