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

Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching

Anjun Gao, Zhenglin Wan, Pingfu Chao, Shunyu Yao ยท 2026

The integration of GNSS data into portable devices has led to the generation of vast amounts of trajectory data, which is crucial for applications such as map-matching. To tackle the limitations of ruโ€ฆ

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Computer Science Preprint PDF DOI

PAC-DP: Personalized Adaptive Clipping for Differentially Private Federated Learning

Hao Zhou, Siqi Cai, Hua Dai, Geng Yang, Jing Luo, Hui Cai ยท 2026

Differential privacy (DP) is crucial for safeguarding sensitive client information in federated learning (FL), yet traditional DP-FL methods rely predominantly on fixed gradient clipping thresholds. Sโ€ฆ

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Computer Science Preprint PDF DOI

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage

Rishikesh Sahay, Bell Eapen, Weizhi Meng, Md Rasel Al Mamun, Nikhil Kumar Dora, Manjusha Sumasadan, Sumit Kumar Tetarave, Elyson De La Cruz ยท 2026

With frequently evolving Advanced Persistent Threats (APTs) in cyberspace, traditional security solutions approaches have become inadequate for threat hunting for organizations. Moreover, SOC (Securitโ€ฆ

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Computer Science Preprint PDF DOI

Variable-Length Audio Fingerprinting

Hongjie Chen, Hanyu Meng, Huimin Zeng, Ryan A. Rossi, Lie Lu, Josh Kimball ยท 2026

Audio fingerprinting converts audio to much lower-dimensional representations, allowing distorted recordings to still be recognized as their originals through similar fingerprints. Existing deep learnโ€ฆ

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Computer Science Preprint PDF DOI

ORACLE: Orchestrate NPC Daily Activities using Contrastive Learning with Transformer-CVAE

Seong-Eun Hong, JuYeong Hwang, RyunHa Lee, HyeongYeop Kang ยท 2026

The integration of Non-player characters (NPCs) within digital environments has been increasingly recognized for its potential to augment user immersion and cognitive engagement. The sophisticated orcโ€ฆ

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Efficient Encrypted Computation in Convolutional Spiking Neural Networks with TFHE

Longfei Guo, Pengbo Li, Ting Gao, Yonghai Zhong, Haojie Fan, Jinqiao Duan ยท 2026

With the rapid advancement of AI technology, we have seen more and more concerns on data privacy, leading to some cutting-edge research on machine learning with encrypted computation. Fully Homomorphiโ€ฆ

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ProcureGym: A Multi-Agent Markov Game Framework for Modeling National Volume-based Drug Procurement

Jia Wang, Qian Xu, Xuanwen Ding, Zhuangqi Li, Chao He, Bao Liu, Zhongyu Wei ยท 2026

In this paper, we introduce ProcureGym, an data-driven multi-agent simulation platform that models China's National Volume-Based drug Procurement (NVBP) as a Markov Game. Based on real-world data fromโ€ฆ

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Computer Science Preprint PDF DOI

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains

Ryogo Hishikawa, Ichiro Kataoka, Shinya Yuda ยท 2026

Industrial B2B applications (e.g., construction site risk prediction, material procurement) face extreme data sparsity yet feature rich textual interactions. In such environments, traditional ID-basedโ€ฆ

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Generative AI User Experience: Developing Human--AI Epistemic Partnership

Xiaoming Zhai ยท 2026

Generative AI (GenAI) has rapidly entered education, yet its user experience is often explained through adoption-oriented constructs such as usefulness, ease of use, and engagement. We argue that thesโ€ฆ

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General Intellectual Humility Is Malleable Through AI-Mediated Reflective Dialogue

Mohammad Ratul Mahjabin, Raiyan Abdul Baten ยท 2026

General intellectual humility (GIH) -- the recognition that one's beliefs may be fallible and revisable -- is associated with improved reasoning, learning, and social discourse, yet is widely regardedโ€ฆ

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VILLA: Versatile Information Retrieval From Scientific Literature Using Large LAnguage Models

Blessy Antony, Amartya Dutta, Sneha Aggarwal, Vasu Gatne, Ozan Gokdemir, Samantha Grimes, Adam Lauring, Brian R. Wasik, Anuj Karpatne, T. M. Murali ยท 2026

The lack of high-quality ground truth datasets to train machine learning (ML) models impedes the potential of artificial intelligence (AI) for science research. Scientific information extraction (SIE)โ€ฆ

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An Adaptive Neuro-Fuzzy Blockchain-AI Framework for Secure and Intelligent FinTech Transactions

Gunjan Mishra, Yash Mishra ยท 2026

Financial systems have a growing reliance on computer-based and distributed systems, making FinTech systems vulnerable to advanced and quickly emerging cyber-criminal threats. Traditional security sysโ€ฆ

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Aesthetics of Robot-Mediated Applied Drama: A Case Study on REMind

Elaheh Sanoubari, Alicia Pan, Keith Rebello, Neil Fernandes, Andrew Houston, Kerstin Dautenhahn ยท 2026

Social robots are increasingly used in education, but most applications cast them as tutors offering explanation-based instruction. We explore an alternative: Robot-Mediated Applied Drama (RMAD), in wโ€ฆ

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AI Fortune-Teller: Juxtaposing Shaman and AI to Reveal Human Agency in the Age of AI

Soonho Kwon, Dong Whi Yoo, Younah Kang ยท 2026

This speculative video piece showcases participants interacting with a career counseling AI agent, unaware that the responses were actually derived from the fortunetelling of a mudang (a Korean traditโ€ฆ

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Human, AI, and Hybrid Ensembles for Detection of Adaptive, RL-based Social Bots

Valerio La Gatta, Nathan Subrahmanian, Kaitlyn Wang, Larry Birnbaum, V.S. Subrahmanian ยท 2026

The use of reinforcement learning to dynamically adapt and evade detection is now well-documented in several cybersecurity settings including Covert Social Influence Operations (CSIOs), in which bots โ€ฆ

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Digital Twin-Assisted Measurement Design and Channel Statistics Prediction

Robin J. Williams, Mahmoud Saad Abouamer, Petar Popovski ยท 2026

Prediction of wireless channels and their statistics is a fundamental procedure for ensuring performance guarantees in wireless systems. Statistical radio maps powered by Gaussian processes (GPs) offeโ€ฆ

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Empirical Characterization of Logging Smells in Machine Learning Code

Patrick Loic Foalem, Leuson Da Silva, Foutse Khomh, Heng Li, Ettore Merlo ยท 2026

Logging plays a central role in ensuring reproducibility, observability, and reliability in machine learning (ML) systems. While logging is generally considered a good engineering practice, poorly desโ€ฆ

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Votiverse: A Configurable Governance Platform for Democratic Decision-Making

Diego Macrini ยท 2026

Democracy is not a single mechanism. It is a space of possible configurations -- a spectrum stretching from pure direct participation to full delegation of authority. The systems we live under today oโ€ฆ

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Echoes: A semantically-aligned music deepfake detection dataset

Octavian Pascu, Dan Oneata, Horia Cucu, Nicolas M. Muller ยท 2026

We introduce Echoes, a new dataset for music deepfake detection designed for training and benchmarking detectors under realistic and provider-diverse conditions. Echoes comprises 3,577 tracks (110 houโ€ฆ

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Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language Models

Mohammad Saleh Vahdatpour, Yanqing Zhang ยท 2026

The rapid deployment of machine learning across platforms from milliwatt-class TinyML devices to large language models has made energy efficiency a primary constraint for sustainable AI. Across these โ€ฆ

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