:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Baccini, Federica, Barabesi, Lucio, Petrovich, Eugenio
Format:	Preprint
Published:	2022
Subjects:	Physics and Society Computational Geometry Data Analysis, Statistics and Probability Methodology 68U01 G.3; I.0; J.2
Online Access:	https://arxiv.org/abs/2208.06431
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A ZeNN architecture to avoid the Gaussian trap
by: Carvalho, Luís, et al.
Published: (2025)

The VOROS: Lifting ROC curves to 3D
by: Ratigan, Christopher, et al.
Published: (2024)

Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
by: McInnes, Lois Curfman, et al.
Published: (2025)

A Primer on Bayesian Parameter Estimation and Model Selection for Battery Simulators
by: Kuhn, Yannick, et al.
Published: (2025)

Unbalanced optimal transport for stochastic particle tracking
by: Hao, Kairui, et al.
Published: (2024)

Neural information field filter
by: Hao, Kairui, et al.
Published: (2024)

Texture Discrimination via Hilbert Curve Path Based Information Quantifiers
by: Bariviera, Aurelio F., et al.
Published: (2024)

Artificial neural networks ensemble methodology to predict significant wave height
by: Minuzzi, Felipe Crivellaro, et al.
Published: (2025)

Information Fusion in Multimodal IoT Systems for physical activity level monitoring
by: Shirali, Mohsen, et al.
Published: (2024)

Generating temporal networks with the Ascona model
by: Koovely, Samuel
Published: (2025)

Revenue-Sharing as Infrastructure: A Distributed Business Model for Generative AI Platforms
by: Mondjo, Ghislain Dorian Tchuente
Published: (2026)

Physics-informed machine learning: A mathematical framework with applications to time series forecasting
by: Doumèche, Nathan
Published: (2025)

Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
by: Du, Jin, et al.
Published: (2025)

Instilling Organisational Values in Firefighters through Simulation-Based Training
by: Osman, Nardine, et al.
Published: (2025)

Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers
by: Barrainkua, Ainhize, et al.
Published: (2024)

Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints
by: Bruneton, J. -P.
Published: (2025)

Symbolic Integration in Weierstrass-like Extensions
by: Chen, Shaoshi, et al.
Published: (2026)

Data-driven dynamical coarse-graining for condensed matter systems
by: del Razo, Mauricio J., et al.
Published: (2023)

No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
by: Fokoué, Ernest
Published: (2025)

Can Agentic AI Match the Performance of Human Data Scientists?
by: Luo, An, et al.
Published: (2025)

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
by: Luo, An, et al.
Published: (2026)

Similarity network aggregation for the analysis of glacier ecosystems
by: Roberto Ambrosini, et al.
Published: (2024)

Bayesian hypergraph inference from scarce and noisy dynamical observations
by: Tang, Katerina, et al.
Published: (2026)

Bridging Voting and Deliberation with Algorithms: Field Insights from vTaiwan and Kultur Komitee
by: Yang, Joshua C., et al.
Published: (2025)

Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
by: Maturo, Fabrizio, et al.
Published: (2024)

A geometric modelling framework to support the design of heterogeneous lattice structures with non-linearly varying geometry
by: Letov, Nikita, et al.
Published: (2026)

Separating Geometric Data with Minimum Cost: Two Disjoint Convex Hulls
by: Bigham, Bahram Sadeghi
Published: (2021)

AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization
by: Kazemi, Amir, et al.
Published: (2024)

A computational framework for human values
by: Osman, Nardine, et al.
Published: (2023)

Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act
by: Arda, Sinan
Published: (2024)

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
by: Bian, Yijun, et al.
Published: (2024)

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
by: Bian, Yijun, et al.
Published: (2024)

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
by: Luo, An, et al.
Published: (2025)

Synthetic emotions and consciousness: exploring architectural boundaries
by: Borotschnig, Hermann
Published: (2025)

WoSNN: Stochastic Solver for PDEs with Machine Learning
by: Song, Silei, et al.
Published: (2025)

A Class of Markovian Self-Reinforcing Processes with Power-Law Distributions
by: Bulanchuk, Pavlo, et al.
Published: (2025)

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
by: Si, Phillip, et al.
Published: (2024)

An Open Dataset for Temperature Modelling in Machine Tools
by: Coelho, C., et al.
Published: (2025)

Hubble tension in an anisotropic Universe
by: Deliyergiyev, Maksym, et al.
Published: (2025)

Stochastic Processes with Modified Lognormal Distribution Featuring Flexible Upper Tail
by: Hristopulos, Dionissios T., et al.
Published: (2025)