Research
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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,236 papers · 148 categories

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2457 · Nov 201819922001200920182026
48 results for citizen journalism

Model identifies credible news and trustworthy citizen journalists in online communities.

problem Identifying credible news and trustworthy citizen journalists in online communities.
method Probabilistic graphical model that leverages interactions between users, news, and sources.
result Identifies credible news articles, trustworthy news sources, and expert users.

New model estimates species population trends from citizen science data.

problem Interannual confounding in citizen science data.
method Double Machine Learning framework to estimate population change and propensity scores for confounding adjustment.
result Spatially detailed trend estimates from citizen science data with low error rates.

Machine learning analyzed peer reviews to find differences in quality by journal impact factor.

problem Determining if higher journal impact factors correlate with more thorough or helpful peer reviews.
method Hand-coded and machine-learned analysis of 10,000 peer review sentences from 1,644 journals.
result Peer reviews in higher impact factor journals are more thorough in discussing methods but less helpful in suggesting solutions and providing examples.

This study investigates the content of the published scientific literature in the fields of operations research and management science (OR/MS) since the early 1950s. Our study is based on 80,757 published journal abstracts from 37 of the leading OR/MS journals. We have developed a topic model, using Latent Dirichlet Al…

2015-10-17abs ↗pdf ↗

The paper uses a graph autoencoder to learn unbiased plant-pollinator interaction embeddings.

problem Sampling bias in citizen science data affects ecological network analysis.
method Bipartite graph variational autoencoder with HSIC for fairness.
result The method mitigates sampling bias and provides unbiased embeddings.

EcoCast predicts biodiversity risks using satellite data and citizen science records.

problem Unprecedented shifts in species distributions due to climate change and habitat loss.
method Spatio-temporal model using sequence-based transformers and continual learning.
result Promising improvements in forecasting bird species distributions compared to Random Forest.

Special issue on understanding physical processes from unusual diffusion patterns.

problem Understanding physical processes from anomalous diffusion data.
method Not explicitly described in the abstract, but likely involves analysis of data from the Anomalous Diffusion Challenge.
result Not explicitly stated, but likely includes analysis of physical processes from anomalous diffusion data.

Research shows how deepfakes can be used to manipulate accounting systems.

problem The vulnerability of CAATs to adversarial attacks.
method Developed a thread model to camouflage anomalies, used adversarial autoencoder neural networks to learn latent factors, demonstrated misuse of model to generate misleading entries.
result Adversarial autoencoder neural networks can learn and manipulate accounting data to deceive CAATs.

This paper improves prediction accuracy for multi-input classification tasks using p-value aggregation.

problem Generating accurate predictive sets with guaranteed coverage for multi-input classification tasks.
method Integrates p-values from each observation to reduce the size of the predicted label set while maintaining class-conditional coverage.
result The method reduces the size of the predicted label set while preserving the required coverage guarantee.

We suggest an analytical approach for Pareto-Zipf law, where we assume random multiplicative noise and fragmentation processes for the growth of the number of citizens of each city and the number of the cities, respectively.

2008-02-27abs ↗pdf ↗

This is a continuous work about the nonexistence of some complete metrics on the product of two manifolds studied by Tam-Yu [Asian Journal of Mathematics, 14(2010)]. Motivated by the result of Tossati [Comm.Anal.Geom. 15(2007)]. We generalize the corresponding results of Tam-Yu [Asian Journal of Mathematics, 14(2010)] …

2011-09-12abs ↗pdf ↗

Topic model captures health journeys of multiple authors.

problem Challenges in topic modeling health journals due to asynchronous writing.
method Dynamic Author-Persona topic model (DAP) with regularized variational inference.
result Significant improvements over competing models, especially with regularization.

Neural networks help auditors efficiently assess financial statements by learning underlying data patterns.

problem Efficiently auditing large volumes of financial statements and journal entries.
method Vector Quantised-Variational Autoencoder (VQ-VAE) neural networks.
result VQ-VAE neural networks can learn a quantized representation of accounting data, uncovering latent factors and providing a representative audit sample.

BCCNet combines biased crowd labels to train classifiers for disaster response.

problem Improper labels from citizen scientists limit machine learning applications.
method Bayesian classifier combination neural network (BCCNet) aggregates and trains classifiers from imperfect labels.
result BCCNet effectively processes large unstructured data for disaster prevention and response.

This study analyzes inequality in Romanian income distribution using advanced statistical methods.

problem Characterizing inequality in Romania's income distribution.
method Advanced statistical techniques, specifically Theil index decomposition.
result Salient factors contributing to income inequality in Romania identified.

In this note we re-examine the analysis of the paper "On the martingale property of stochastic exponentials" by B. Wong and C.C. Heyde, Journal of Applied Probability, 41(3):654-664, 2004. Some counterexamples are presented and alternative formulations are discussed.

2011-05-19abs ↗pdf ↗

As a supplement to the authors' article "Prime knots with arc index up to 11 and an upper bound of arc index for non-alternating knots", to appear in the Journal of Knot Theory and its Ramifications, we present minimal arc presentations of the prime knots up to arc index 11.

2010-10-14abs ↗pdf ↗

We refurbish our axiomatics of differential geometry introduced in [Mathematics for Applications,, 1 (2012), 171-182]. Then the notion of Euclideaness can naturally be formulated. The principal objective in this paper is to present an adaptation of our theory of differential forms developed in [International Journal of…

2012-07-21abs ↗pdf ↗

In paper "A new twist on Lorenz links" (Journal of Topology 2(2009), 227-248) Joan Birman and Ilya Kofman prove the coincidence of the class of Lorenz links and the class of twisted links. The proof in that work is algebraic. We will identify this class in terms of grid diagrams and provide a transparent geometric argu…

2010-06-15abs ↗pdf ↗

This study simulates the evolution of artificial economies in order to understand the tax relevance of administrative boundaries in the quality of life of its citizens. The modeling involves the construction of a computational algorithm, which includes citizens, bounded into families; firms and governments; all of them…

2015-10-16abs ↗pdf ↗

This is a sequel to our paper arXiv:1402.2546 to appear in the Journal of Geometric Analysis in which we concentrate on developing some of the topological properties of Sasaki-Einstein manifolds. In particular, we explicitly compute the cohomology rings for several cases not treated in arXiv:1402.2546 and give a formul…

2015-06-03abs ↗pdf ↗