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

Augmented Reality Visualization for Musical Instrument Learning

Frank Heyen, Michael Sedlmair ยท 2026

We contribute two design studies for augmented reality visualizations that support learning musical instruments. First, we designed simple, glanceable encodings for drum kits, which we display throughโ€ฆ

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ConceptCoder: Improve Code Reasoning via Concept Learning

Md Mahbubur Rahman, Hengbo Tong, Wei Le ยท 2026

Large language models (LLMs) have shown promising results for software engineering applications, but still struggle with code reasoning tasks such as vulnerability detection (VD). We introduce Conceptโ€ฆ

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CSTS: A Canonical Security Telemetry Substrate for AI-Native Cyber Detection

Abdul Rahman ยท 2026

Cybersecurity data remains fragmented across vendors, formats, schemas, and deployment environments, forcing AI and analytics programs to spend disproportionate effort on ingestion, normalization, andโ€ฆ

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MuSe: a Mutation Testing Plugin for the Remix IDE

Gerardo Iuliano, Daniele Carangelo, Carmine Calabrese, Dario Di Nucci ยท 2026

Mutation testing is a technique to assess the effectiveness of test suites by introducing artificial faults into programs. Although mutation testing plugins are available for many platforms and languaโ€ฆ

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Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks

Islam Debicha, Tayeb Kenaza, Ishak Charfi, Salah Mosbah, Mehdi Sehaki, Jean-Michel Dricot ยท 2026

The integration of machine learning (ML) algorithms into Internet of Things (IoT) applications has introduced significant advantages alongside vulnerabilities to adversarial attacks, especially withinโ€ฆ

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Wayfinder: Automated Operating System Specialization

Alexander Jung, Cezar Craciunoiu, Nikolaos Karaolidis, Hugo Lefeuvre, Daniel Onoro Rubio, Felipe Huici, Charalampos Rotsos, Pierre Olivier ยท 2026

Specializing an OS to optimize the performance of a particular application is typically a manual process that requires great expertise. Specialization through configuration lends itself well to automaโ€ฆ

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Biased Error Attribution in Multi-Agent Human-AI Systems Under Delayed Feedback

Teerthaa Parakh, Karen M. Feigh ยท 2026

Human decision-making is strongly influenced by cognitive biases, particularly under conditions of uncertainty and risk. While prior work has examined bias in single-step decisions with immediate outcโ€ฆ

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An Experimental Study of Machine Learning-Based Intrusion Detection for OPC UA over Industrial Private 5G Networks

Song Son Ha, Kunal Singh, Florian Foerster, Henry Beuster, Tim Kittel, Dominik Merli, Gerd Scholl ยท 2026

Industrial deployments increasingly rely on Open Platform Communications Unified Architecture (OPC UA) as a secure and platform-independent communication protocol, while private Fifth Generation (5G) โ€ฆ

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A Joint Reinforcement Learning Scheduling and Compression Framework for Teleoperated Driving

Giacomo Avanzi, Marco Giordani, Michele Zorzi ยท 2026

Teleoperated driving (TD) is envisioned as a key application of future sixth generation (6G) networks. In this paradigm, connected vehicles transmit sensor-perception data to a remote (software) driveโ€ฆ

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Dynamic k-center clustering with lifetimes

Simone Moretti, Paolo Pellizzoni, Andrea Pietracaprina, Geppino Pucci ยท 2026

The $k$-center problem is a fundamental clustering variant with applications in learning systems and data summarization. In several real-world scenarios, the dataset to be clustered is not static, butโ€ฆ

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Modeling Edge-to-Cloud Offloading Workloads for Autonomous Vehicles

Longkun Li, Evangelos Pournaras ยท 2026

Autonomous vehicles generate large volumes of data for applications such as fleet monitoring, model retraining, and high-definition map updates. Existing studies often rely on generic traffic traces, โ€ฆ

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AI Lifecycle-Aware Feasibility Framework for Split-RIC Orchestration in NTN O-RAN

Daniele Tarchi ยท 2026

Integrating Artificial Intelligence (AI) into Non-Terrestrial Networks (NTN) is constrained by the joint limits of satellite SWaP and feeder-link capacity, which directly impact O-RAN closed-loop contโ€ฆ

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Joint Task Orchestration and Resource Optimization for SC3 Closed Loop in 6G Networks

Xinran Fang, Wei Feng, Yanmin Wang, Yunfei Chen, Baoquan Ren, Ning Ge, Shi Jin ยท 2026

In hazardous environments, sensors and actuators can be deployed to see and operate on behalf of humans, enabling safe and efficient task execution. Functioning as a neural center, the edge informatioโ€ฆ

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Privacy-Aware Smart Cameras: View Coverage via Socially Responsible Coordination

Chuhao Qin, Lukas Esterle, Evangelos Pournaras ยท 2026

Coordination of view coverage via privacy-aware smart cameras is key to a more socially responsible urban intelligence. Rather than maximizing view coverage at any cost or over relying on expensive crโ€ฆ

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PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning

Yuanhang Lei, Tao Cheng, Xingxuan Li, Boming Zhao, Siyuan Huang, Ruizhen Hu, Peter Yichen Chen, Hujun Bao, Zhaopeng Cui ยท 2026

Achieving real-time physics-based animation that generalizes across diverse 3D shapes and discretizations remains a fundamental challenge. We introduce PhysSkin, a physics-informed framework that addrโ€ฆ

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Fault-Tolerant Design and Multi-Objective Model Checking for Real-Time Deep Reinforcement Learning Systems

Guoxin Su, Thomas Robinson, Hoa Khanh Dam, Li Liu, David S. Rosenblum ยท 2026

Deep reinforcement learning (DRL) has emerged as a powerful paradigm for solving complex decision-making problems. However, DRL-based systems still face significant dependability challenges particularโ€ฆ

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Machine Learning Models for the Early Detection of Burnout in Software Engineering: a Systematic Literature Review

Tien Rahayu Tulili, Ayushi Rastogi, Andrea Capiluppi ยท 2026

Burnout is an occupational syndrome that, like many other professions, affects the majority of software engineers. Past research studies showed important trends, including an increasing use of machineโ€ฆ

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MSR-HuBERT: Self-supervised Pre-training for Adaptation to Multiple Sampling Rates

Zikang Huang, Meng Ge, Tianrui Wang, Xuanchen Li, Xiaobao Wang, Longbiao Wang, Jianwu Dang ยท 2026

Self-supervised learning (SSL) has advanced speech processing. However, existing speech SSL methods typically assume a single sampling rate and struggle with mixed-rate data due to temporal resolutionโ€ฆ

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AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents

Yutao Luo, Haotian Zhu, Shuchao Pang, Zhigang Lu, Tian Dong, Yongbin Zhou, Minhui Xue ยท 2026

The rapid adoption of mobile graphical user interface (GUI) agents, which autonomously control applications and operating systems (OS), exposes new system-level attack surfaces. Existing backdoors agaโ€ฆ

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A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks

Najeeb Jebreel, David Sanchez, Josep Domingo-Ferrer ยท 2026

Membership inference attacks (MIAs) aim to determine whether a data sample was included in a machine learning (ML) model's training set and have become the de facto standard for measuring privacy leakโ€ฆ

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