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๐Ÿ” avoidance learning ๐Ÿ“‚ Computer Science
Showing 46580 results for "avoidance learning" in Computer Science
Computer Science Preprint PDF DOI

Automated Membership Inference Attacks: Discovering MIA Signal Computations using LLM Agents

Toan Tran, Olivera Kotevska, Li Xiong ยท 2026

Membership inference attacks (MIAs), which enable adversaries to determine whether specific data points were part of a model's training dataset, have emerged as an important framework to understand, aโ€ฆ

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Hardware Utilization and Inference Performance of Edge Object Detection Under Fault Injection

Faezeh Pasandideh, Mehdi Azarafza, Achim Rettberg ยท 2026

As deep learning models are deployed on resource constrained edge platforms in autonomous driving systems, reli able knowledge of hardware behavior under resource degradation becomes an essential requโ€ฆ

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kRAIG: A Natural Language-Driven Agent for Automated DataOps Pipeline Generation

Rohan Siva, Kai Cheung, Lichi Li, Ganesh Sundaram ยท 2026

Modern machine learning systems rely on complex data engineering workflows to extract, transform, and load (ELT) data into production pipelines. However, constructing these pipelines remains time-consโ€ฆ

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FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning

Sheng Liu, Panos Papadimitratos ยท 2026

FL has emerged as a transformative paradigm for ITS, notably camera-based Road Condition Classification (RCC). However, by enabling collaboration, FL-based RCC exposes the system to adversarial particโ€ฆ

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Computer Science Preprint PDF DOI

Hardness of High-Dimensional Linear Classification

Alexander Munteanu, Simon Omlor, Jeff M. Phillips ยท 2026

We establish new exponential in dimension lower bounds for the Maximum Halfspace Discrepancy problem, which models linear classification. Both are fundamental problems in computational geometry and maโ€ฆ

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Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange

Cao Tram Anh Hoang ยท 2026

This study investigates the adoption and effectiveness of AI-based anomaly detection in cross-provider electronic health record (EHR) environments. It aims to (1) identify the organisational and digitโ€ฆ

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From Accuracy to Readiness: Metrics and Benchmarks for Human-AI Decision-Making

Min Hun Lee ยท 2026

Artificial intelligence (AI) systems are deployed as collaborators in human decision-making. Yet, evaluation practices focus primarily on model accuracy rather than whether human-AI teams are preparedโ€ฆ

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Dynamic Mask Enhanced Intelligent Multi-UAV Deployment for Urban Vehicular Networks

Gaoxiang Cao, Wenke Yuan, Yunpeng Hou, Huasen He, Quan Zheng, Jian Yang ยท 2026

Vehicular Ad Hoc Networks (VANETs) play a crucial role in realizing vehicle-road collaboration and intelligent transportation. However, urban VANETs often face challenges such as frequent link disconnโ€ฆ

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Dual-Model Prediction of Affective Engagement and Vocal Attractiveness from Speaker Expressiveness in Video Learning

Hung-Yue Suen, Kuo-En Hung, Fan-Hsun Tseng ยท 2026

This paper outlines a machine learning-enabled speaker-centric Emotion AI approach capable of predicting audience-affective engagement and vocal attractiveness in asynchronous video-based learning, reโ€ฆ

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A learning health system in Neurorehabilitation as a foundation for multimodal patient representation

Thomas Weikert, Eljas Roellin, Lukas Heumos, Fabian J. Theis, Diego Paez-Granados, Chris Easthope Awai ยท 2026

Neurological disorders represent a growing global health burden requiring long-term, interdisciplinary rehabilitation. Computational neurorehabilitation (compNR) - the use of data-driven and model-basโ€ฆ

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Beyond the Code: A Multi-Modal Assessment Strategy for Fostering Professional Competencies via Introductory Programming Projects

Santiago Berrezueta-Guzman, Vanesa Metaj, Stefan Wagner ยท 2026

As the landscape of software engineering evolves, introductory programming courses must go beyond teaching syntax to foster comprehensive technical competencies and professional soft skills. This papeโ€ฆ

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Green Architectural Tactics in ML-enabled Systems: An LLM-based Repository Mining Study

Vincenzo De Martino, Silverio Martinez-Fernandez, Fabio Palomba ยท 2026

Context: The increasing adoption of machine learning (ML) and artificial intelligence (AI) technologies raises growing concerns about their environmental sustainability. Developing and deploying ML-enโ€ฆ

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Spectral Tempering for Embedding Compression in Dense Passage Retrieval

Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas ยท 2026

Dimensionality reduction is critical for deploying dense retrieval systems at scale, yet mainstream post-hoc methods face a fundamental trade-off: principal component analysis (PCA) preserves dominantโ€ฆ

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SQL-Commenter: Aligning Large Language Models for SQL Comment Generation with Direct Preference Optimization

Lei Yu, Peng Wang, Jingyuan Zhang, Xin Wang, Jia Xu, Li Yang, Changzhi Deng, Jiajia Ma, Fengjun Zhang ยท 2026

SQL query comprehension is a significant challenge due to complex syntax, diverse join types, and deep nesting. Many queries lack adequate comments, severely hindering code readability, maintainabilitโ€ฆ

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WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network

Haotian Lu, Jincong Lu, Sachin Sachdeva, Sheldon X.-D. Tan ยท 2026

With the advent of system-in-package (SiP) chiplet-based design and heterogeneous 2.5D/3D integration, thermal-induced warpage has become a critical reliability concern. While conventional numerical aโ€ฆ

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Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation

Mingshi Yan, Zhiyong Cheng, Yahong Han, Meng Wang ยท 2026

Traditional recommendation methods, which typically focus on modeling a single user behavior (e.g., purchase), often face severe data sparsity issues. Multi-behavior recommendation methods offer a proโ€ฆ

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iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery

Jiangtao Luo, Bingbing Xu, Shaohua Xia, Yongyi Ran ยท 2026

Sending massive Earth observation data produced by low Earth orbit (LEO) satellites back to the ground for processing consumes a large amount of on-orbit bandwidth and exacerbates the space-to-ground โ€ฆ

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Rethink Web Service Resilience in Space: A Radiation-Aware and Sustainable Transmission Solution

Long Chen, Hao Fang, Yi Ching Chou, Haoyuan Zhao, Xiaoyi Fan, Zhe Chen, Hengzhi Wang, Jiangchuan Liu ยท 2026

Low Earth Orbit (LEO) satellite networks such as Starlink and Project Kuiper are increasingly integrated with cloud infrastructures, forming an important internet backbone for global web services. By โ€ฆ

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CyberJustice Tutor: An Agentic AI Framework for Cybersecurity Learning via Think-Plan-Act Reasoning and Pedagogical Scaffolding

Baiqiang Wang, Yan Bai, Juan Li ยท 2026

The integration of Large Language Models (LLMs) into cybersecurity education for criminal justice professionals is currently hindered by the "statelessness" of reactive chatbots and the risk of hallucโ€ฆ

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HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships

Xiangxu Zhang, Xiao Zhou, Hongteng Xu, Jianxun Lian ยท 2026

Medication recommendations aim to generate safe and effective medication sets from health records. However, accurately recommending medications hinges on inferring a patient's latent clinical conditioโ€ฆ

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