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Showing 6644 results for "brain" in Computer Science · Preprint
Computer Science Preprint PDF DOI

WOOTdroid: Whole-system Online On-device Tracing for Android

Simon Althaus, Nikolaos Alexopoulos, Max Muhlhauser, Christian Reuter, Ephraim Zimmer · 2026

System auditing on Android faces two problems. First, existing syscall tracers lose events under load, silently overwriting entries faster than a user space reader can drain them. Second, security-rel…

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Computer Science Preprint PDF DOI

Temporal Routing in Static Networks: The Schedule Completion Problem

Michelle Doring, Niklas Mohrin, George Skretas · 2026

We introduce the TemporallyEdgeDisjointScheduleCompletion (TEDSC) problem in which we need to cover a set of temporal edge demands $D$ by routing $k$ temporal walks through a directed static graph whi…

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Computer Science Preprint PDF DOI

Tail-aware N-version Machine Learning Models for Reliable API Recommendation

Aoi Matsuda, Fumio Machida, David Lo · 2026

Machine learning (ML)-based API recommendation helps developers efficiently identify suitable APIs to complement the application code. However, code datasets used to train ML models often exhibit a lo…

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Computer Science Preprint PDF DOI

Secure Cross-Silo Synthetic Genomic Data Generation

Daniil Filienko, Martine De Cock, Sikha Pentyala · 2026

Access to genomic data is highly regulated due to its sensitive nature. While safeguards are essential, cumbersome data access processes pose a significant barrier to the development of AI methods for…

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Computer Science Preprint PDF DOI

Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

Nazar Kozak · 2026

Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deploya…

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Computer Science Preprint PDF DOI

Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems

Khalid M. Ezzat, Muhammad El-Saba, Mahmoud A. Shawky · 2026

As healthcare systems become increasingly interconnected, ensuring secure and continuous device authentication in health information exchange (HIE) networks is critical to safeguarding patient data an…

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Computer Science Preprint PDF DOI

SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent

Yikai Zhang, Jiaxin Pei, Kenan Li, Maoquan Wang, Jin Pan, Yu Kang, Shengyu Fu, Elsie Nallipogu, Junjie Hu, Yufan Huang, Zijian Jin · 2026

Large language model agents have achieved remarkable progress on software engineering tasks, yet current approaches suffer from a fundamental context coupling problem: the standard code editing interf…

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Computer Science Preprint PDF DOI

From Threads to Trajectories: A Multi-LLM Pipeline for Community Knowledge Extraction from GitHub Issue Discussions

Nazia Shehnaz Joynab, Soneya Binta Hossain · 2026

Resolution of complex post-production issues in large-scale open-source software (OSS) projects requires significant cognitive effort, as developers need to go through long, unstructured and fragmente…

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Computer Science Preprint PDF DOI

Break the Inaccessible Boundary: Distilling Post-Conversion Content for User Retention Modeling

Tianbao Ma, Ruochen Yang, Chengen Li, Yuexin Shi, Jiangxia Cao, Linxun Chen, Zhaojie Liu, Yanan Niu, Han Li, Kun Gai · 2026

User retention is a key metric to measure long-term engagement in modern platforms. In real-time bidding (RTB) advertising system for user re-engagement, the retention model is required to predict fut…

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Computer Science Preprint PDF DOI

How Can Reinforcement Learning Achieve Expert-level Placement?

Ruo-Tong Chen, Ke Xue, Chengrui Gao, Yunqi Shi, Tian Xu, Peng Xie, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou · 2026

Chip placement is a critical step in physical design. While reinforcement learning (RL)-based methods have recently emerged, their training primarily focuses on wirelength optimization, and therefore …

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Computer Science Preprint PDF DOI

GAMMAF: A Common Framework for Graph-Based Anomaly Monitoring Benchmarking in LLM Multi-Agent Systems

Pablo Mateo-Torrejon, Alfonso Sanchez-Macian · 2026

The rapid integration of Large Language Models (LLMs) into Multi-Agent Systems (MAS) has significantly enhanced their collaborative problem-solving capabilities, but it has also expanded their attack …

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Large-Scale Photogrammetric Documentation of St. John's Co-Cathedral: A Workflow for Cultural Heritage Preservation

Matthew Kenely, Mark Bugeja, Andre Grima, Peter Pullicino, Matthew Pullicino, Dylan Seychell · 2026

We present a comprehensive methodology for the large-scale photogrammetric documentation of St. John's Co-Cathedral in Valletta, Malta, a UNESCO World Heritage site renowned for its ornate Baroque arc…

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Computer Science Preprint PDF DOI

RAS: a Reliability Oriented Metric for Automatic Speech Recognition

Wenbin Huang, Yuhang Qiu, Bohan Li, Yiwei Guo, Jing Peng, Hankun Wang, Xie Chen, Kai Yu · 2026

Automatic speech recognition systems often produce confident yet incorrect transcriptions under noisy or ambiguous conditions, which can be misleading for both users and downstream applications. Stand…

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Computer Science Preprint PDF DOI

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers

Benjamin Minhao Chen, Xinyu Xie · 2026

The quest to align machine behavior with human values raises fundamental questions about the moral frameworks that should govern AI decision-making. Much alignment research assumes that the appropriat…

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Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications

Jinbao Li, Jiancheng An, Hao Liu, Lu Gan, Victor C. M. Leung, Mehdi Bennis, Merouane Debbah · 2026

Semantic communications (SemCom) is a promising paradigm that prioritizes the transmission of task-relevant information, thereby enabling superior communication efficiency over traditional bit-centric…

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Computer Science Preprint PDF DOI

MUSIC: Learning Muscle-Driven Dexterous Hand Control

Pei Xu, Yufei Ye, Shuchun Sun, Yu Ding, Elizabeth Schumann, C. Karen Liu · 2026

We present a data-driven approach for physics-based, muscle-driven dexterous control that enables musculoskeletal hands to perform precise piano playing for novel pieces of music outside the reference…

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Computer Science Preprint PDF DOI

Point & Grasp: Flexible Selection of Out-of-Reach Objects Through Probabilistic Cue Integration

Xuejing Luo, Hee-Seung Moon, Christian Holz, Antti Oulasvirta · 2026

Selecting out-of-reach objects is a fundamental task in mixed reality (MR). Existing methods rely on a single cue or deterministically fuse multiple cues, leading to performance degradation when the d…

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Computer Science Preprint PDF DOI

HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference

Chang Sun, Zhiqiang Que, Bakhtiar Zadeh, Qibin Liu, Kevin H. Alvarez, Wayne Luk, Maria Spiropulu · 2026

Lookup-table (LUT) based neural networks can deliver ultra-low latency and excellent hardware efficiency on FPGAs by mapping arithmetic operations directly onto the logic primitives. However, state-of…

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Computer Science Preprint PDF DOI

Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets

Yuan Xiao, Jiaming Wang, Yuchen Chen, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, Zhenyu Chen · 2026

The widespread availability of large-scale code datasets has accelerated the development of code large language models (CodeLLMs), raising concerns about unauthorized dataset usage. Dataset poisoning …

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Computer Science Preprint PDF DOI

Probabilistic Abduction in a Fuzzy Logic Framework

Tommaso Flaminio, Katsumi Inoue, Daniil Kozhemiachenko · 2026

We study the problem of explaining observations about the probabilities of events, such as "it rains $20\%$ of the time", "rain and snow are equally likely", etc. We explain these statements with a pr…

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