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🔍 malcolm crowe 📂 Computer Science
Showing 1140 results for "malcolm crowe" in Computer Science
Computer Science Preprint PDF DOI

"The Worst Weather In America": Augmenting the Information Design of Extreme Cold Weather Forecasts

Michael Correll, Jay Broccolo, Drew Bush · 2026

Mount Washington is home to extreme, and extremely volatile, weather conditions. Consulting a weather forecast of conditions at the summit is vital for making one's visit as safe as possible. Using th…

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Computer Science Preprint PDF DOI

Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations

Lukas Hrdonka, Martin Jurecek · 2026

Malware development and detection have undergone significant changes in recent years as modern concepts, such as machine learning, have been used for both adversarial attacks and defense. Despite inte…

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Computer Science Preprint PDF DOI

CROWDio: A Practical Mobile Crowd Computing Framework with Developer-Oriented Design, Adaptive Scheduling, and Fault Resilience

Lakshani Manamperi, Disumi Pathirana, Thiwanka Pathirana, Nipun Premarathna, Kutila Gunasekara · 2026

Mobile Crowd Computing (MCdC) leverages the idle computational capacity of consumer smartphones to enable distributed task processing at scale; however, widespread real-world adoption remains constrai…

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Computer Science Preprint PDF DOI

Head Count: Privacy-Preserving Face-Based Crowd Monitoring

Fatemeh Marzani, Thijs van Ede, Geert Heijenk, Maarten van Steen · 2026

An important aspect of crowd monitoring is knowing how many people we are dealing with. Sometimes, knowing the size of a crowd in a single location and at a specific moment is enough. Matters become p…

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Computer Science Preprint PDF DOI

Constant-Factor Approximation for the Uniform Decision Tree

Micha{l} Szyfelbein · 2026

We resolve a long-standing open question, about the existence of a constant-factor approximation algorithm for the average-case \textsc{Decision Tree} problem with uniform probability distribution ove…

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Computer Science Preprint PDF DOI

IntervenSim: Intervention-Aware Social Network Simulation for Opinion Dynamics

Yunyao Zhang, Zuocheng Ying, Xinglang Zhang, Junqing Yu, Peng Fang, Xu Chen, Wei Yang, Zikai Song · 2026

LLM-based social network simulation introduces a new computational approach for modeling event evolution in complex online environments. However, existing methods typically simulate social processes u…

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Computer Science Preprint PDF DOI

CrowdVLA: Embodied Vision-Language-Action Agents for Context-Aware Crowd Simulation

Juyeong Hwang, Seong-Eun Hong, Jinhyun Kim, JaeYoung Seon, Giljoo Nam, Hanyoung Jang, HyeongYeop Kang · 2026

Crowds do not merely move; they decide. Human navigation is inherently contextual: people interpret the meaning of space, social norms, and potential consequences before acting. Sidewalks invite walki…

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Computer Science Preprint PDF DOI

Parameterized Approximation of Rectangle Stabbing

Huairui Chu, Ajaykrishnan E S, Daniel Lokshtanov, Anikait Mundhra, Thomas Schibler, Xiaoyang Xu, Jie Xue · 2026

In the Rectangle Stabbing problem, input is a set ${\cal R}$ of axis-parallel rectangles and a set ${\cal L}$ of axis parallel lines in the plane. The task is to find a minimum size set ${\cal L}^* \s…

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Computer Science Preprint PDF DOI

An Object Web Seminar: A Retrospective on a Technical Dialogue Still Reverberating

James J. Cusick · 2026

Technology change happens quickly such that new trends tend to crowd out the focus on what was new just yesterday. In this paper the peak popularity of the confluence of Object Technologies with early…

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Computer Science Preprint PDF DOI

Improved Algorithms for Unrelated Crowd Worker Scheduling in Mobile Social Networks

Chi-Yeh Chen · 2026

This paper addresses the scheduling problem for unrelated crowd workers in mobile social networks, where the required service time for each task varies among the assigned crowd workers. The goal is to…

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Computer Science Preprint PDF DOI

Auditing the Auditors: Does Community-based Moderation Get It Right?

Yeganeh Alimohammadi, Karissa Huang, Christian Borgs, Jennifer Chayes · 2026

Online social platforms increasingly rely on crowd-sourced systems to label misleading content at scale, but these systems must both aggregate users' evaluations and decide whose evaluations to trust.…

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Computer Science Preprint PDF DOI

s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs

Balaji Rao, John Harrison, Soonho Kong, Juneyoung Lee, Carlo Lipizzi · 2026

Neurosymbolic approaches leveraging Large Language Models (LLMs) with formal methods have recently achieved strong results on mathematics-oriented theorem-proving benchmarks. However, success on compe…

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Computer Science Preprint PDF DOI

Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation

Nima Shahbazi, Aryan Esmailpour, Stavros Sintos · 2026

The weighted set multi-cover problem is a fundamental generalization of set cover that arises in data-driven applications where one must select a small, low-cost subset from a large collection of cand…

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Computer Science Preprint PDF DOI

Managing Cognitive Bias in Human Labeling Operations for Rare-Event AI: Evidence from a Field Experiment

Gunnar P. Epping, Andrew Caplin, Erik Duhaime, William R. Holmes, Daniel Martin, Jennifer S. Trueblood · 2026

Many operational AI systems depend on large-scale human annotation to detect rare but consequential events (e.g., fraud, defects, and medical abnormalities). When positives are rare, the prevalence ef…

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Computer Science Preprint PDF DOI

The Laziness of the Crowd: Effort Aversion Among Raters Risks Undermining the Efficacy of X's Community Notes Program

Morgan Wack, Patrick Warren, Mustafa Alam · 2026

Crowdsourced moderation systems like Twitter/X's Community Notes program have been proposed as scalable alternatives to professional fact-checkers for combating online misinformation. While prior rese…

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Computer Science Preprint PDF DOI

Synergistic Directed Execution and LLM-Driven Analysis for Zero-Day AI-Generated Malware Detection

George Edwards, Mahdi Eslamimehr · 2026

The weaponization of LLMs for automated malware generation poses an existential threat to conventional detection paradigms. AI-generated malware exhibits polymorphic, metamorphic, and context-aware ev…

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Computer Science Preprint PDF DOI

Brexit Means Brexit: Selection Bias, Echo Chambers, and Entrenched Opinion on Reddit

Marian-Andrei Rizoiu, Duy Khuu, Andrew Law, Christine Largeron · 2026

Political polarisation on structured discussion platforms such as Reddit differs fundamentally from that on broadcast platforms such as Twitter/X, yet most prior work targets the latter. We present an…

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Computer Science Preprint PDF DOI

The First Environmental Sound Deepfake Detection Challenge: Benchmarking Robustness, Evaluation, and Insights

Han Yin, Yang Xiao, Rohan Kumar Das, Jisheng Bai, Ting Dang · 2026

Recent progress in audio generation has made it increasingly easy to create highly realistic environmental soundscapes, which can be misused to produce deceptive content, such as fake alarms, gunshots…

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Computer Science Preprint PDF DOI

China leads scientific trends; the West launches new ones

Jeffrey W. Lockhart, Jamshid Sourati, Feng Shi, James Evans · 2026

How nations shape the scientific frontier matters for technological competition, but standard metrics, including publication counts, citations, and disruption indices, look backward and fail to distin…

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Computer Science Preprint PDF DOI

On the Reliability of User-Centric Evaluation of Conversational Recommender Systems

Michael Muller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Gunther Specht, Eva Zangerle · 2026

User-centric evaluation has become a key paradigm for assessing Conversational Recommender Systems (CRS), aiming to capture subjective qualities such as satisfaction, trust, and rapport. To enable sca…

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