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

Designing Fatigue-Aware VR Interfaces via Biomechanical Models

Harshitha Voleti, Charalambos Poullis ยท 2026

Prolonged mid-air interaction in virtual reality (VR) causes arm fatigue and discomfort, negatively affecting user experience. Incorporating ergonomic considerations into VR user interface (UI) designโ€ฆ

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A Human-Centered Approach to Ethical AI Education in Underresourced Secondary Schools

Valentina Kuskova, Sonia Howell, Brianna Stines, Brianna Conaghan ยท 2026

National and international policy efforts increasingly promote AI literacy in K--12 education, yet access to AI tools alone is insufficient to ensure equitable and responsible participation, particulaโ€ฆ

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Learning AI Without a STEM Background: Mixed-Methods Evidence from a Diverse, Mixed-Cohort AIED Program

Valentina Kuskova, Dmitry Zaytsev, Richard Johnson ยท 2026

Despite growing interest in AI education, most AIED initiatives remain narrowly targeted toward STEM-prepared students, limiting participation by non-STEM learners and adults seeking to engage with AIโ€ฆ

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To Use or Not to Use: Investigating Student Perceptions of Faculty Generative AI Usage in Higher Education

Jie Gao, Jiayi Zhang, Dan Chen ยท 2026

While Generative AI (GenAI) rapidly integrated into higher education, existing research has primarily focused on regulating student use. As a result, student perspectives on faculty adoption of GenAI โ€ฆ

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A Review of Multiscale Thermal Modeling in Heterogeneous 3D ICs

Baibhari Priya Barua, Md Rahatul Islam Udoy, Ahmedullah Aziz ยท 2026

Thermal behavior has become a first-order constraint in advanced 2.5D/3D integrated circuits (ICs) and heterogeneous packages. As power densities rise and multiple active dies are vertically integrateโ€ฆ

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Agentic Markets: Equilibrium Effects of Improving Consumer Search

Brendan Lucier, Nicole Immorlica, Markus Mobius, Aleksandrs Slivkins, Daniel G. Goldstein, Jake M. Hofman, Sonia Jaffe, David M. Rothschild ยท 2026

Motivated by agentic markets -- two-sided markets in which consumers and businesses are assisted by AI tools that facilitate consumers' search -- we study the impact of improved search technology on lโ€ฆ

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Beyond Disinformation: Strategic Misrepresentation across Content, Actors, Processes, and Covertness

Arttu Malkamaki, Daniel Balinhas, Letizia Iannucci, Megan Vine, Frederik Temmermans, Adrien Coppen, Nikos Deligiannis, Mikko Kivela, Michael Quayle, Onur Varol, Fintan McGee ยท 2026

This article revisits the widely studied problem of disinformation and related phenomena in online social networks (OSNs) by reframing it as a broader problem of misrepresentation. While disinformatioโ€ฆ

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Computer Science Preprint PDF DOI

Starlink Constellation: Deployment, Configuration, and Dynamics

Muaz Ali, Utkarsh Upadhyay, Sean McCormick, Joseph Hill, Beichuan Zhang ยท 2026

Starlink has rapidly emerged as the world's largest satellite constellation and the de facto reference system for low Earth orbit (LEO) networking research. Existing literature predominantly models Stโ€ฆ

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Understanding AI Methods for Intrusion Detection and Cryptographic Leakage

Reza Zilouchian, Michael Chavez, Fernando Koch ยท 2026

We investigate the role of artificial intelligence in cybersecurity by evaluating how machine learning techniques can detect malicious network activity and identify potential information leakage in crโ€ฆ

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HeyFriend Helper: A Conversational AI Web-App for Resource Access Among Low-Income Chicago Residents

Maddie Juarez, Abha Rai, Kristen E. Ravi, Margaret C. Delaney, Danny Olweean, Eric Klingensmith, Swarnali Banerjee, Neil Klingensmith, George K. Thiruvathukal ยท 2026

Low-income individuals can face multiple challenges in their ability to seek employment. Barriers to employment often include limited access to digital literacy resources, training, interview preparatโ€ฆ

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SHAPR: Operationalising Human-AI Collaborative Research Through Structured Knowledge Generation

Ka Ching Chan ยท 2026

SHAPR (Solo Human-Centred and AI-Assisted Practice) is a framework for research software development that integrates human-centred decision-making with AI-assisted capabilities. While prior work introโ€ฆ

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Cooperative Deep Reinforcement Learning for Fair RIS Allocation

Martin Mark Zan, Stefan Schwarz ยท 2026

The deployment of reconfigurable intelligent surfaces (RISs) introduces new challenges for resource allocation in multi-cell wireless networks, particularly when user loads are uneven across base statโ€ฆ

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Decidable By Construction: Design-Time Verification for Trustworthy AI

Houston Haynes ยท 2026

A prevailing assumption in machine learning is that model correctness must be enforced after the fact. We observe that the properties determining whether an AI model is numerically stable, computationโ€ฆ

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Joint Learning Global-Local Speaker Classification to Enhance End-to-End Speaker Diarization and Recognition

Yuhang Dai, Haopeng Lin, Jiale Qian, Ruiqi Yan, Hao Meng, Hanke Xie, Hanlin Wen, Shunshun Yin, Ming Tao, Xie Chen, Lei Xie, Xinsheng Wang ยท 2026

Large Audio-Language Models (LALMs) have demonstrated remarkable performance in end-to-end speaker diarization and recognition. However, their speaker discriminability remains limited due to the scarcโ€ฆ

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Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security

Joy Acharya, Smit Patel, Paawan Sharma, Mohendra Roy ยท 2026

Physically Unclonable Functions (PUFs) provide promising hardware security for IoT authentication, leveraging inherent randomness suitable for resource constrained environments. However, ML/DL modelinโ€ฆ

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On the Vulnerability of Deep Automatic Modulation Classifiers to Explainable Backdoor Threats

Younes Salmi, Hanna Bogucka ยท 2026

Deep learning (DL) has been widely studied for assisting applications of modern wireless communications. One of the applications is automatic modulation classification (AMC). However, DL models are foโ€ฆ

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Physical Backdoor Attack Against Deep Learning-Based Modulation Classification

Younes Salmi, Hanna Bogucka ยท 2026

Deep Learning (DL) has become a key technology that assists radio frequency (RF) signal classification applications, such as modulation classification. However, the DL models are vulnerable to adversaโ€ฆ

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Learning in Proportional Allocation Auctions Games

Younes Ben Mazziane, Cleque-Marlain Mboulou Moutoubi, Eitan Altman, Francesco De Pellegrini ยท 2026

The Kelly or proportional allocation mechanism is a simple and efficient auction-based scheme that distributes an infinitely divisible resource proportionally to the agents bids. When agents are awareโ€ฆ

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Revealing the influence of participant failures on model quality in cross-silo Federated Learning

Fabian Stricker, David Bermbach, Christian Zirpins ยท 2026

Federated Learning (FL) is a paradigm for training machine learning (ML) models in collaborative settings while preserving participants' privacy by keeping raw data local. A key requirement for the usโ€ฆ

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CSI-tuples-based 3D Channel Fingerprints Construction Assisted by MultiModal Learning

Chenjie Xie, Li You, Ruirong Chen, Gaoning He, Xiqi Gao ยท 2026

Low-altitude communications can promote the integration of aerial and terrestrial wireless resources, expand network coverage, and enhance transmission quality, thereby empowering the development of sโ€ฆ

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