Expertini Research Research

Browse Research Papers

201+ open-access research outputs.

✕ Clear
🔍 olga ivanova 📂 Computer Science
Showing 201 results for "olga ivanova" in Computer Science
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

Replay, Revise, and Refresh: Smartphone-based Refresher Training for Community Healthcare Workers in India

Arka Majhi, Aparajita Mondal, Satish B. Agnihotri · 2026

In India, community healthcare workers are the primary touchpoints between the state and the beneficiaries, such as pregnant mothers and children. Their healthcare knowledge directly impacts the quali…

Read Paper →
Computer Science Preprint PDF DOI

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

Ramy E. Ali, Federico Penna · 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 cont…

Read Paper →
Computer Science Preprint PDF DOI

OGA-AID: Clinician-in-the-loop AI Report Drafting Assistant for Multimodal Observational Gait Analysis in Post-Stroke Rehabilitation

Khoi T. N. Nguyen, Nghia D. Nguyen, Hui Yu Koh, Patrick W. H. Kwong, Karen Sui Geok Chua, Ananda Sidarta, Baosheng Yu · 2026

Gait analysis is essential in post-stroke rehabilitation but remains time-intensive and cognitively demanding, especially when clinicians must integrate gait videos and motion-capture data into struct…

Read Paper →
Computer Science Preprint PDF DOI

P\'olya Thresholds Graphs

Jinghan Yu, Fady Alajaji, Bahman Gharesifard · 2026

We introduce the P\'olya threshold graph model and derive its stochastic and algebraic properties. This random threshold graph is generated sequentially via a two-color P\'olya urn process. Starting f…

Read Paper →
Computer Science Preprint PDF DOI

LLM-Driven Online Aggregation for Unstructured Text Analytics

Chao Hui, Weizheng Lu, Yanjie Gao, Lingfeng Xiong, Yunhai Wang, Yueguo Chen · 2026

Large Language Models (LLMs) exhibit strong capabilities in text processing, and recent research has augmented SQL and DataFrame with LLM-powered semantic operators for data analysis. However, LLM-bas…

Read Paper →
Computer Science Preprint PDF DOI

Unsupervised Domain Adaptation for Audio Deepfake Detection with Modular Statistical Transformations

Urawee Thani, Gagandeep Singh, Priyanka Singh · 2026

Audio deepfake detection systems trained on one dataset often fail when deployed on data from different sources due to distributional shifts in recording conditions, synthesis methods, and acoustic en…

Read Paper →
Computer Science Preprint PDF DOI

Governance Architecture for Autonomous Agent Systems: Threats, Framework, and Engineering Practice

Yuxu Ge · 2026

Autonomous agents powered by large language models introduce a class of execution-layer vulnerabilities -- prompt injection, retrieval poisoning, and uncontrolled tool invocation -- that existing guar…

Read Paper →
Computer Science Preprint PDF DOI

Search in Transition: A Study of University Students Perspectives on Using LLMs and Traditional Search Engines in English Test Problem Solving for Higher Study

Tarek Rahman, Md Shaharia Hossen, Mark Protik Mondol, Jannatun Noor Mukta · 2026

As Artificial Intelligence (AI) becomes increasingly integrated into education, university students preparing for English language tests are frequently shifting between traditional search engines like…

Read Paper →
Computer Science Preprint PDF DOI

Machine Learning for Energy-Performance-aware Scheduling

Zheyuan Hu, Yifei Shi · 2026

In the post-Dennard era, optimizing embedded systems requires navigating complex trade-offs between energy efficiency and latency. Traditional heuristic tuning is often inefficient in such high-dimens…

Read Paper →
Computer Science Preprint PDF DOI

On Fun for Teaching Large Programming Courses

Walid Maalej · 2026

Teaching software development basics to hundreds of students in a frontal setting is cost-efficient and thus still common in universities. However, in a large lecture hall, students can easily get bor…

Read Paper →
Computer Science Preprint PDF DOI

Immersive XR That Moves People: How XR Advertising Transforms Comprehension, Empathy, and Behavioural Intention

Yuki Kobayashi, Koichi Toida · 2026

Extended Reality (XR) affords an enhanced sense of bodily presence that supports experiential modes of comprehension and affective engagement which exceed the possibilities of conventional information…

Read Paper →
Computer Science Preprint PDF DOI

Political Alignment in Large Language Models: A Multidimensional Audit of Psychometric Identity and Behavioral Bias

Adib Sakhawat, Tahsin Islam, Takia Farhin, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan · 2026

As large language models (LLMs) are increasingly deployed, understanding how they express political positioning is important for evaluating alignment and downstream effects. We audit 26 contemporary L…

Read Paper →
Computer Science Preprint PDF DOI

The Effect of Empathic Expression Levels in Virtual Human Interaction: A Controlled Experiment

Sung Park, Daeho Yoon, Jungmin Lee · 2025

As artificial intelligence (AI) systems become increasingly embedded in everyday life, the ability of interactive agents to express empathy has become critical for effective human-AI interaction, part…

Read Paper →
Computer Science Preprint PDF DOI

AI Chatbots or Human Therapists? Belief-Based Predictors of Mental Health Help-Seeking Intentions in the Age of Generative AI

Junsang Park, Sarah Brown, David L. Vogel, Nan Zhao, Sharon Lynn Chu · 2025

As generative artificial intelligence (GAI) enters the mental health landscape, questions arise about how individuals weigh AI tools against human therapists. This study examined belief-based predicto…

Read Paper →
Computer Science Preprint PDF DOI

Robust In-the-Wild Exercise Recognition from a Single Wearable: Data-Side Fusion, Sensor Rotation, and Feature Engineering

Hoang Khang Phan, Khang Le, Tu Nhat Khang Nguyen, Anh Van Dao, Nhat Tan Le · 2025

Monitoring physical exercises is vital for health promotion, with automated systems becoming standard in personal health surveillance. However, sensor placement variability and unconstrained movements…

Read Paper →
Computer Science Preprint PDF DOI

Prediction-based evaluation of back-four defense with spatial control in soccer

Soujanya Dash, Kenjiro Ide, Rikuhei Umemoto, Kai Amino, Keisuke Fujii · 2025

Defensive organization is critical in soccer, particularly during negative transitions when teams are most vulnerable. The back-four defensive line plays a decisive role in preventing goal-scoring opp…

Read Paper →
Computer Science Preprint PDF DOI

MetaScoreLens: Evaluating User Feedback Across Digital Entertainment Systems

Christian Ellington, Paramahansa Pramanik, Haley K. Robinson · 2025

The popularity of electronic games has grown steadily in recent years, attracting a broad audience across age groups. With this growth comes a large volume of related data, prompting efforts like the …

Read Paper →
Computer Science Preprint PDF DOI

Exploratory Analysis of Cyberattack Patterns on E-Commerce Platforms Using Statistical Methods

Fatimo Adenike Adeniya (York St John University, London Campus, London, United Kingdom) · 2025

Cyberattacks on e-commerce platforms have grown in sophistication, threatening consumer trust and operational continuity. This research presents a hybrid analytical framework that integrates statistic…

Read Paper →
Computer Science Preprint PDF DOI

xMem: A CPU-Based Approach for Accurate Estimation of GPU Memory in Deep Learning Training Workloads

Jiabo Shi, Dimitrios Pezaros, Yehia Elkhatib · 2025

The global scarcity of GPUs necessitates more sophisticated strategies for Deep Learning jobs in shared cluster environments. Accurate estimation of how much GPU memory a job will require is fundament…

Read Paper →
Page 1 of 11 Next →