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

Where Trust Fails: Mapping Location-Data Provenance Risks in Europe

Eduardo Brito, Liina Kamm ยท 2026

European digital sovereignty and security increasingly depends on whether high-impact decisions can be grounded in location evidence that remains credible under adversarial pressure. This paper framesโ€ฆ

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Computer Science Preprint PDF DOI

Automatically Inferring Teachers' Geometric Content Knowledge: A Skills Based Approach

Ziv Fenigstein, Kobi Gal, Avi Segal, Osama Swidan, Inbal Israel, Hassan Ayoob ยท 2026

Assessing teachers' geometric content knowledge is essential for geometry instructional quality and student learning, but difficult to scale. The Van Hiele model characterizes geometric reasoning throโ€ฆ

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Computer Science Preprint PDF DOI

TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglement

Xinxin Fan, Wenxiong Chen, Quanliang Jing, Chi Lin, Shaoye Luo, Wenbo Song, Yunfeng Lu ยท 2026

Graph adversarial attacks are usually produced from the two perspectives of topology/structure and node feature, both of them represent the paramount characteristics learned by today's deep learning mโ€ฆ

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Computer Science Preprint PDF DOI

From Transfer to Collaboration: A Federated Framework for Cross-Market Sequential Recommendation

Jundong Chen, Honglei Zhang, Xiangmou Qu, Haoxuan Li, Han Yu, Yidong Li ยท 2026

Cross-market recommendation (CMR) aims to enhance recommendation performance across multiple markets. Due to its inherent characteristics, i.e., data isolation, non-overlapping users, and market heterโ€ฆ

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Computer Science Preprint PDF DOI

Who Decides in AI-Mediated Learning? The Agency Allocation Framework

Conrad Borchers, Olga Viberg, Rene F. Kizilcec ยท 2026

As AI-mediated learning systems increasingly shape how learners plan, decide, and progress through education, learner agency is becoming both more consequential and harder to conceptualize at scale. Eโ€ฆ

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Computer Science Preprint PDF DOI

Secure and Privacy-Preserving Vertical Federated Learning

Shan Jin, Sai Rahul Rachuri, Yizhen Wang, Anderson C.A. Nascimento, Yiwei Cai ยท 2026

We propose a novel end-to-end privacy-preserving framework, instantiated by three efficient protocols for different deployment scenarios, covering both input and output privacy, for the vertically splโ€ฆ

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Computer Science Preprint PDF DOI

Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment

Eileen Kapel, Jan Lennartz, Luis Cruz, Diomidis Spinellis, Arie van Deursen ยท 2026

Effective IT change management is important for businesses that depend on software and services, particularly in highly regulated sectors such as finance, where operational reliability, auditability, โ€ฆ

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Computer Science Preprint PDF DOI

Joint Semantic Coding and Routing for Multi-Hop Semantic Transmission in LEO Satellite Networks

Hong Zeng, Jiangtao Luo, Yongyi Ran ยท 2026

Low Earth Orbit satellite networks pose significant challenges to multi-hop semantic transmission because rapidly changing topology, link variability, and queue dynamics make end-to-end performance joโ€ฆ

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Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection

Nguyen Phuc Tran, Brigitte Jaumard, Karthikeyan Premkumar, Salman Memon ยท 2026

This paper presents a hierarchical multi-agent LLM architecture to bridge communication gaps between non-technical end users and telecommunications domain experts in private network environments. We pโ€ฆ

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Threat Modeling and Attack Surface Analysis of IoT-Enabled Controlled Environment Agriculture Systems

Andrii Vakhnovskyi ยท 2026

The United States designates Food and Agriculture as one of sixteen critical infrastructure sectors, yet no mandatory cybersecurity requirements exist for agricultural operations and no formal threat โ€ฆ

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Neural Stringology Based Cryptanalysis of EChaCha20

Victor Kebande ยท 2026

Modern stream ciphers rely on strong diffusion and pseudorandom keystream generation (PKG) to resist cryptanalysis. While conventional evaluation methods such as statistical randomness tests and diffeโ€ฆ

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Comprehension Debt in GenAI-Assisted Software Engineering Projects

Muhammad Ovais Ahmad ยท 2026

Generative Artificial Intelligence (GenAI) tools (e.g., ChatGPT, Calude) have rapidly become integral to software development. These tools are especially attractive to students, as they can reduce cogโ€ฆ

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Anomaly Detection in IEC-61850 GOOSE Networks: Evaluating Unsupervised and Temporal Learning for Real-Time Intrusion Detection

Joseph Moore ยท 2026

The IEC-61850 GOOSE protocol underpins time-critical communication in modern digital substations but lacks native security mechanisms, leaving it vulnerable to replay, masquerade, and data injection aโ€ฆ

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Lazy or Efficient? Towards Accessible Eye-Tracking Event Detection Using LLMs

Dongyang Guo, Yasmeen Abdrabou, Enkelejda Kasneci ยท 2026

Gaze event detection is fundamental to vision science, human-computer interaction, and applied analytics. However, current workflows often require specialized programming knowledge and careful handlinโ€ฆ

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OverCite: Add citations in LaTeX without leaving the editor

Cheyanne Shariat ยท 2026

Adding citations while drafting in LaTeX often requires leaving the editor, searching for a paper in mind, copying its BibTeX entry into the project bibliography, renaming the cite key, and then returโ€ฆ

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Computer Science Preprint PDF DOI

Sparse Contrastive Learning for Content-Based Cold Item Recommendation

Gregor Meehan, Johan Pauwels ยท 2026

Item cold-start is a pervasive challenge for collaborative filtering (CF) recommender systems. Existing methods often train cold-start models by mapping auxiliary item content, such as images or text โ€ฆ

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An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience

Jonathan Coles, Stefano Schuppli, Lukas Drescher, Fawzi Roberto Mohamed, Elia Palme, Henrique Mendonca, Miguel Gila, Mark Klein, Maxime Martinasso, Joost VandeVondele, Torsten Hoefler, Thomas Schulthess, Josh Romero, Igor Gorodetsky, Ryan Hankins, Isa Wazirzada, Martin Jaggi, Antoine Bosselut, Imanol Schlag, Antoni-Joan Solergibert i Llaquet, Alejandro Hernandez Cano, Theofilos Ioannis Manitaras, Nicholas John Browning ยท 2026

Large Language Models (LLMs) have surged as a transformative technology for science and society, prompting governments worldwide to pursue sovereign AI capabilities that ensure data compliance and culโ€ฆ

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Computer Science Preprint PDF DOI

Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation

Dongqi Fu, Kaushik Rangadurai, Haiyu Lu, Yunchen Pu, Siyang Yuan, Minhui Huang, Yiqun Liu, Golnaz Ghasemiesfeh, Xingfeng He, Fangzhou Xu, Andrew Cui, Vidhoon Viswanathan, Lin Yang, Liang Wang, Jiyan Yang, Chonglin Sun ยท 2026

The increase in data volume, computational resources, and model parameters during training has led to the development of numerous large-scale industrial retrieval models for recommendation tasks. Howeโ€ฆ

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Graph-based Hierarchical Deep Reinforcement Learning for Deliverable Block Propagation with Optimal Hybrid Cost in Web 3.0

Shi Chen, Jinbo Wen, Jiawen Kang, Tenghui Huang, Maomao Zhang, Tao Zhang, Dong In Kim ยท 2026

Web 3.0 is envisioned as a decentralized paradigm, where blockchain serves as a core technology for transparent and tamper-proof data management. Among various blockchain architectures, consortium bloโ€ฆ

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Joint Clustering and Prediction of the Quality of Service in Vehicular Cellular Networks

Oscar Stenhammar, Gabor Fodor, Carlo Fischione ยท 2026

Machine learning models are increasingly deployed in wireless networks with stringent performance requirements. However, dynamic propagation environments and fluctuating traffic densities introduce coโ€ฆ

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