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

Advancing Network Digital Twin Framework for Generating Realistic Datasets

Oscar Stenhammar, Sundeep Rangan, Gabor Fodor, Carlo Fischione ยท 2026

The integration of accurate and reproducible wireless network simulations is a key enabler for research on open, virtualized, and intelligent communication systems. Network Digital Twins (NDTs) providโ€ฆ

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Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces

Jakob Schwerter, Loreen Sabel, Judith Bose, Matthew L. Bernacki, Di Xu, Marko Schmellenkamp, Thomas Zeume, Philipp Doebler ยท 2026

STEM dropout rates remain high at universities, particularly in computer science programs with theory-intensive courses. Digital learning environments now capture rich behavioral data that could help โ€ฆ

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Learning-to-Explain through 20Q Gaming: An Explainable Recommender for Cybersecurity Education

Mary Nusrat, Sarfuddin Bhuiyan, Gahangir Hossain ยท 2026

The growing sophistication of contemporary cyber threats necessitates a more effective and adaptive approach to cybersecurity training. Intuitive and adaptive approaches to learning, which are often rโ€ฆ

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A sequential explanatory mixed-methods study on the acceptance of a social robot for EFL speaking practice among Chinese primary school students: Insights from the Computers Are Social Actors (CASA) paradigm

Yiran Du, Jinlong Li, Huimin He, Chenghao Wang, Bin Zou ยท 2026

This study investigates Chinese primary school students' acceptance of a social robot for English-as-a-foreign-language (EFL) speaking practice through a sequential explanatory mixed-methods design. Iโ€ฆ

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On the Meaning of the Web as an Object of Study

Claudio Gutierrez, Daniel Hernandez ยท 2026

This text advances the hypothesis that the meaning of the Web as an object of study has diluted as a clear research domain. One example of this phenomenon is the identity crisis of the Web Conference โ€ฆ

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Short Version of VERIFAI2026 Paper -- Learning Infused Formal Reasoning: Contract Synthesis, Artefact Reuse and Semantic Foundations

Arshad Beg, Diarmuid O'Donoghue, Rosemary Monahan ยท 2026

Artificial intelligence systems have achieved remarkable capability in natural language processing, perception and decision-making tasks. However, their behaviour often remains opaque and difficult toโ€ฆ

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Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge

Gustavo de Carvalho Bertoli ยท 2026

While Federated Learning (FL) mitigates direct data exposure, the resulting trained models remain susceptible to membership inference attacks (MIAs). This paper presents an empirical evaluation of Difโ€ฆ

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EPAC: The Last Dance

Filippo Mantovani, Fabio Banchelli, Pablo Vizcaino, Roger Ferrer, Oscar Palomar, Francesco Minervini, Jesus Labarta, Mauro Olivieri, Sebastiano Pomata, Pedro Marcuello, Jordi Cortina, Alberto Moreno, Josep Sans, Roger Espasa, Vassilis Papaefstathiou, Nikolaos Dimou, Georgios Ieronymakis, Antonis Psathakis, Michalis Giaourtas, Iasonas Mastorakis, Manolis Marazakis, Eric Guthmuller, Andrea Bocco, Jerome Fereyre, Cesar Fuguet, Mate Kovac, Mario Kovac, Luka Mrkovic, Josip Ramljak, Luca Bertaccini, Tim Fischer, Frank K. Gurkaynak, Paul Scheffler, Luca Benini, Bhavishya Goel, Madhavan Manivannan, Tiago Rocha, Nuno Neves, Jens Kruger ยท 2026

This paper presents EPAC, a RISC-V-based accelerator chip developed within the European Processor Initiative (EPI) as part of a multi-year, multi-partner effort to build a European HPC processor ecosyโ€ฆ

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Intelligent resource prediction for SAP HANA continuous integration build workloads

Torsten Mandel, Jonathan Bader, Hanyoung Yoo, Stephan Kraft ยท 2026

Large enterprises often operate extensive Continuous Integration (CI) pipelines on large, heterogeneous compute clusters, where conservative, statically defined resource requirements are used to ensurโ€ฆ

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LLMs Are Not a Silver Bullet: A Case Study on Software Fairness

Xinyue Li, Sixuan Li, Ying Xiao, Jie M. Zhang, Zhou Yang, Xuanzhe Liu, Zhenpeng Chen ยท 2026

Fairness is a critical requirement for human-related, high-stakes software systems, motivating extensive research on bias mitigation. Prior work has largely focused on tabular data settings using tradโ€ฆ

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Anchor-Aided Multi-User Semantic Communication with Adaptive Decoders

Loc X. Nguyen, Phuong-Nam Tran, Trung Thanh Pham, Avi Deb Raha, Eui-Nam Huh, Zhu Han, Choong Seon Hong ยท 2026

Semantic communication (SemCom) is accelerating its momentum to catch up with the massive increase in users' demands in both quantity and quality, with the assistance of advanced deep learning (DL) teโ€ฆ

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Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification

Prakul Sunil Hiremath ยท 2026

Edge intelligence is constrained by the energy and latency costs of shuttling data through electronic memory hierarchies. Optical systems offer a fundamentally different computational regime: once an โ€ฆ

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A Heterogeneous Dual-Network Framework for Emergency Delivery UAVs: Communication Assurance and Path Planning Coordination

Ping Huang, Bin Duo, Ziedor Godfred, Liuwei Huo, Jin Ning, Xiaojun Yuan, Jun Li ยท 2026

Natural disasters often damage ground infrastructure, making unmanned aerial vehicles (UAVs) essential for emergency supply delivery. Yet safe operation in complex post-disaster environments requires โ€ฆ

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Deepfakes at Face Value: Image and Authority

James Ravi Kirkpatrick ยท 2026

Deepfakes are synthetic media that superimpose or generate someone's likeness on to pre-existing sound, images, or videos using deep learning methods. Existing accounts of the wrongs involved in creatโ€ฆ

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Elastic Net Regularization and Gabor Dictionary for Classification of Heart Sound Signals using Deep Learning

Mahmoud Fakhry, Ascension Gallardo-Antolin ยท 2026

In this article, we propose the optimization of the resolution of time-frequency atoms and the regularization of fitting models to obtain better representations of heart sound signals. This is done byโ€ฆ

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LightTune: Lightweight Forward-Only Online Fine-Tuning with Applications to Link Adaptation

Ramy E. Ali, Federico Penna ยท 2026

Deploying machine learning (ML) algorithms on mobile phones is bottlenecked by performance degradation under dynamic, real-world conditions that differ from the offline training conditions. While contโ€ฆ

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Three Birds, One Stone: Solving the Communication-Memory-Privacy Trilemma in LLM Fine-tuning Over Wireless Networks with Zeroth-Order Optimization

Zhijie Cai, Yuhao Zheng, Haolong Chen, Dongzhu Liu, Bin Wang, Guangxu Zhu ยท 2026

Federated Learning (FL) offers a promising pathway for collaboratively fine-tuning Large Language Models (LLMs) at the edge; however, this paradigm faces a critical bottleneck: the prohibitive communiโ€ฆ

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On the Distillation Loss Functions of Speech VAE for Unified Reconstruction, Understanding, and Generation

Changhao Cheng, Wei Wang, Wangyou Zhang, Dongya Jia, Jian Wu, Zhuo Chen, Yanmin Qian ยท 2026

Continuous speech representations based on Variational Autoencoders (VAEs) have emerged as a promising alternative to traditional spectrogram or discrete token based features for speech generation andโ€ฆ

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Traffic-Aware Domain Partitioning and Load-Balanced Inter-Domain Routing for LEO Satellite Networks

Chen Zhou, Jiangtao Luo, Yongyi Ran ยท 2026

Low Earth Orbit (LEO) satellite networks provide global coverage and low latency, yet high node mobility, uneven traffic distribution, and stochastic link failures pose severe challenges for inter-domโ€ฆ

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WebAgentGuard: A Reasoning-Driven Guard Model for Detecting Prompt Injection Attacks in Web Agents

Yulin Chen, Tri Cao, Haoran Li, Yue Liu, Yibo Li, Yufei He, Le Minh Khoi, Yangqiu Song, Shuicheng Yan, Bryan Hooi ยท 2026

Web agents powered by vision-language models (VLMs) enable autonomous interaction with web environments by perceiving and acting on both visual and textual webpage content to accomplish user-specifiedโ€ฆ

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