:: Library Catalog

Salvato in:

Dettagli Bibliografici
Autori principali:	Murayama, Taichi, Miyazaki, Kunihiro, Matsubara, Yasuko, Sakurai, Yasushi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computers and Society
Accesso online:	https://arxiv.org/abs/2405.20037
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Fredformer: Frequency Debiased Transformer for Time Series Forecasting
di: Piao, Xihao, et al.
Pubblicazione: (2024)

Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning
di: Obata, Kohei, et al.
Pubblicazione: (2026)

D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
di: Higashiguchi, Shingo, et al.
Pubblicazione: (2025)

Global Patterns of Knowledge: Language, Genre, and the Geography of Knowledge
di: Matsui, Akira, et al.
Pubblicazione: (2025)

Linguistic Uncertainty and Engagement in Arabic-Language X (formerly Twitter) Discourse
di: Soufan, Mohamed
Pubblicazione: (2026)

Landscape of Generative AI in Global News: Topics, Sentiments, and Spatiotemporal Analysis
di: Xian, Lu, et al.
Pubblicazione: (2024)

When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency
di: Fujiwara, Ren, et al.
Pubblicazione: (2026)

Modeling Latent Non-Linear Dynamical System over Time Series
di: Fujiwara, Ren, et al.
Pubblicazione: (2024)

Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies
di: Obata, Kohei, et al.
Pubblicazione: (2025)

Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series
di: Fujiwara, Ren, et al.
Pubblicazione: (2026)

The "recognition," "belief," and "action" regarding conspiracy theories: An empirical study using large-scale samples from Japan and the United States
di: Murayama, Taichi, et al.
Pubblicazione: (2025)

How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape
di: Kelley, Patrick Gage, et al.
Pubblicazione: (2025)

Large Language Models and Forensic Linguistics: Navigating Opportunities and Threats in the Age of Generative AI
di: Mikros, George
Pubblicazione: (2025)

Dynamic Multi-Network Mining of Tensor Time Series
di: Obata, Kohei, et al.
Pubblicazione: (2024)

Long-Term EEG Partitioning for Seizure Onset Detection
di: Chen, Zheng, et al.
Pubblicazione: (2024)

Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series
di: Obata, Kohei, et al.
Pubblicazione: (2024)

Modeling Time-evolving Causality over Data Streams
di: Chihara, Naoki, et al.
Pubblicazione: (2025)

Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso
di: Higashiguchi, Shingo, et al.
Pubblicazione: (2026)

Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams
di: Nakamura, Kota, et al.
Pubblicazione: (2026)

Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams
di: Kakio, Soshi, et al.
Pubblicazione: (2026)

AI Across Borders: Exploring Perceptions and Interactions in Higher Education
di: Gerard, Juliana, et al.
Pubblicazione: (2024)

Students' Perceptions and Use of Generative AI Tools for Programming Across Different Computing Courses
di: Keuning, Hieke, et al.
Pubblicazione: (2024)

Perceptions of AI Across Sectors: A Comparative Review of Public Attitudes
di: Bialy, Filip, et al.
Pubblicazione: (2025)

Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions
di: John, Angel Mary, et al.
Pubblicazione: (2025)

Global AI Governance Overview: Understanding Regulatory Requirements Across Global Jurisdictions
di: Kyrychenko, Mariia, et al.
Pubblicazione: (2025)

The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to Green AI
di: Ebert, Kai, et al.
Pubblicazione: (2026)

Towards Risk Analysis of the Impact of AI on the Deliberate Biological Threat Landscape
di: Walsh, Matthew E.
Pubblicazione: (2024)

Generative AI Perceptions: A Survey to Measure the Perceptions of Faculty, Staff, and Students on Generative AI Tools in Academia
di: Amani, Sara, et al.
Pubblicazione: (2023)

Mapping AI Ethics Narratives: Evidence from Twitter Discourse Between 2015 and 2022
di: Wei, Mengyi, et al.
Pubblicazione: (2024)

On Perception of Prevalence of Cheating and Usage of Generative AI
di: Denkin, Roman
Pubblicazione: (2024)

FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting
di: Piao, Xihao, et al.
Pubblicazione: (2024)

Selective Denoising Diffusion Model for Time Series Anomaly Detection
di: Obata, Kohei, et al.
Pubblicazione: (2026)

Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
di: Chihara, Naoki, et al.
Pubblicazione: (2026)

CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems
di: Nakamura, Kota, et al.
Pubblicazione: (2025)

Generative AI and LLMs in Industry: A text-mining Analysis and Critical Evaluation of Guidelines and Policy Statements Across Fourteen Industrial Sectors
di: Jiao, Junfeng, et al.
Pubblicazione: (2025)

Research Integrity and GenAI: A Systematic Analysis of Ethical Challenges Across Research Phases
di: Bjelobaba, Sonja, et al.
Pubblicazione: (2024)

Pathfinding of Digital False Information Diffusion by Conformal Field Theory and Feynman's Green's Function: Multiple Analysis Considering Stress Energy Tensor and Symmetry of Virasoro Operators
di: Kawahata, Yasuko
Pubblicazione: (2024)

The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
di: Schirmer, Miriam, et al.
Pubblicazione: (2024)

Exploring Public Perceptions of Generative AI in Libraries: A Social Media Analysis of X Discussions
di: Li, Yuan, et al.
Pubblicazione: (2025)

Repetitive Dilemma Games in Distribution Information Using Interplay of Droop Quota: Meek's Method in Impact of Maximum Compensation and Minimum Cost Routes in Information Role of Marginal Contribution in Two-Sided Matching Markets
di: Kawahata, Yasuko
Pubblicazione: (2024)