Expertini Research Research

Browse Research Papers

41,263+ open-access research outputs.

✕ Clear
🔍 eshed ohn bar 📂 Computer Science
Showing 41263 results for "eshed ohn bar" in Computer Science
Computer Science Preprint PDF DOI

Beyond Code, We Are People: A Systematic Mapping of 25 Years of Literature on Soft Skills in Agile Development Teams

Israely Lima, Lucas Moura Lourenco, Marcio Ribeiro, Ivan Machado, Carla Ilane Bezerra · 2026

Software development is a sociotechnical and human-centered endeavor in which human factors directly influence quality, productivity, and innovation capacity. In this context, career development in co…

Read Paper →
Computer Science Preprint PDF DOI

On the Principal Minor Expansion and Complexity of the Symmetrized Determinant

Sanyam Agarwal, Markus Blaser, Mridul Gupta · 2026

Barvinok introduced the symmetrized determinant ($\sdet$) as a \emph{non-commutative} analogue of the determinant. Intuitively, given a square matrix over an associative algebra, we can obtain the sym…

Read Paper →
Computer Science Preprint PDF DOI

From Impermanent Loss to Sustainable Gain: Quantifying Profitability Zones for Liquidity Providers on DEX

Ignat Melnikov, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich · 2026

Decentralized Finance (DeFi) is a rapidly evolving segment of blockchain technology that enables a transformative approach to financial services through Web3 applications. By leveraging smart contract…

Read Paper →
Computer Science Preprint PDF DOI

On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic

Ugo Dal Lago, Guido Fiorillo, Paolo Pistone · 2026

The problem of determining whether a probabilistic program terminates almost surely (i.e.~with probability one) is undecidable, and actually $\Pi^0_2$-complete. For this reason, a growing literature h…

Read Paper →
Computer Science Preprint PDF DOI

Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3

Milan Shah, Sheng Di, Michela Becchi · 2026

In recent years, novel AI accelerators have emerged as promising alternatives to GPU for AI model training and inference tasks. One such accelerator, the Cerebras CS-3, achieves strong performance on …

Read Paper →
Computer Science Preprint PDF DOI

CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments

Kangyu Yuan, Guanzheng Chen, Sizhe Liang, Hehai Lin, Qingyu Guo, Dingdong Liu, Xiaojuan Ma, Zhenhui Peng · 2026

Critical news reading (CNR), which requires grasping the holistic ideas of and raising critical thoughts on the news, is beneficial yet challenging for general people who usually get information on da…

Read Paper →
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…

Read Paper →
Computer Science Preprint PDF DOI

"It depends on where AI is used": Players' attitude patterns and evaluative logics toward different AI applications in digital games

Ting-Chen Hsu, Jiangxu Lin, Wenran Chen, Fei Qin, Zheyuan Zhang · 2026

As AI becomes increasingly embedded in digital games, players' attitudes de-pend not only on whether AI is used, but also on where and how it intervenes in gameplay. This study examines players' evalu…

Read Paper →
Computer Science Preprint PDF DOI

Order-invariant cluster first-order logic on graph classes of bounded degree

Fatemeh Ghasemi, Julien Grange · 2026

We introduce a new logic, called \emph{cluster first-order logic}, a restricted fragment of first-order logic specifically designed to study order invariance. An order-invariant formula is one on a vo…

Read Paper →
Computer Science Preprint PDF DOI

Users' Activity Logs: the Good, the Bad, the Misconception, and the Disastrous

Eman Alashwali · 2026

Most service providers, such as Google, save logs from data generated by users while using the service. Many service providers provide users with privacy controls to manage whether, how, and for how l…

Read Paper →
Computer Science Preprint PDF DOI

treVM: Tiny Rust Embedded Virtual Machines with WASM on Variable Resource-Constrained Hardware

Antoine Lavandier, Bastien Buil, Chrystel Gaber, Emmanuel Baccelli · 2026

Software stacks embedded on microcontroller-based hardware typically provide rudimentary APIs programmed in C/C++, basic connectivity and, sometimes, a firmware update mechanism. Such coarse mechanism…

Read Paper →
Computer Science Preprint PDF DOI

Empire Amplifier: Uncovering and Contesting the Prioritization of Colonial Content on Platforms Through Community-Informed Algorithmic Auditing

Nel Escher, Bakyt Yrysov, Ashley McDermott, Daniel Chechelnitsky, Hermela Berehan Benyam, Nikola Banovic · 2026

Though online platforms claim to amplify Indigenous voices, Indigenous communities are worried that these systems are instead eroding their language and culture. We conduct a community-informed algori…

Read Paper →
Computer Science Preprint PDF DOI

Tracking Conversations: Measuring Content and Identity Exposure on AI Chatbots

Muhammad Jazlan, Ethan Wang, Yash Vekaria, Zubair Shafiq · 2026

AI chatbots are becoming a primary interface for seeking information. As their popularity grows, chatbot providers are starting to deploy advertising and analytics. Despite this, tracking on AI chatbo…

Read Paper →
Computer Science Preprint PDF DOI

A Study on the Performance of Distributed Training of Data-driven CFD Simulations

Sergio Iserte, Alejandro Gonzalez-Barbera, Paloma Barreda, Krzysztof Rojek · 2026

Data-driven methods for computer simulations are blooming in many scientific areas. The traditional approach to simulating physical behaviors relies on solving partial differential equations (PDE). Si…

Read Paper →
Computer Science Preprint PDF DOI

Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

Zi Li, Tian Zhou, Wenze Li, Jingyu Hua, Yunlong Mao, Sheng Zhong · 2026

Local fine-tuning datasets routinely contain sensitive secrets such as API keys, personal identifiers, and financial records. Although ''local offline fine-tuning'' is often viewed as a privacy bounda…

Read Paper →
Computer Science Preprint PDF DOI

A note on the parameter $\ell$ in Buchbinder--Feldman's deterministic submodular matroid algorithm

Shisheng Li · 2026

Buchbinder and Feldman recently gave a deterministic $(1-1/e-\varepsilon)$-approximation for maximizing a non-negative monotone submodular function subject to a matroid constraint, with query complexi…

Read Paper →
Computer Science Preprint PDF DOI

REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)

Jun Yeon Won, Xin Jin, Shiqing Ma, Zhiqiang Lin · 2026

Large Language Models (LLMs) have achieved remarkable progress in recent years, driving their adoption across a wide range of domains, including computer security. In reverse engineering, LLMs are inc…

Read Paper →
Computer Science Preprint PDF DOI

The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence

Marco Pollanen · 2026

Pretrial risk assessment tools are used on over one million U.S. defendants each year, yet their use for predicting rare violent re-offense faces a basic statistical barrier. We derive a universal pre…

Read Paper →
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…

Read Paper →
Computer Science Preprint PDF DOI

On the Effectiveness of Modular Testing with EvoSuite

Elizabeth Dinella · 2026

This paper explores the effectiveness of modular randomized testing for object oriented programs in Java. Modular testing involves testing individual components of a program in isolation. Often times,…

Read Paper →
Page 1 of 2064 Next →