Data analysis, statistics, and data engineering
Mantis takes disparate sources of data to make synthetic datasets that can be used to build so-called "digital twins" of the human body, ...
I started working on a small coffee coaching app recently - something that could answer questions around brew methods, grind size, extrac...
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
![[2507.16801] Decoding Translation-Related Functional Sequences in 5'UTRs Using Interpretable Deep Learning Models](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This paper presents UTR-STCNet, a novel deep learning model designed to analyze 5' untranslated regions (5'UTRs) for improved prediction ...
This article presents a semi-supervised learning method to identify poor-quality exposures in large astronomical imaging surveys, enhanci...
The paper presents a novel approach to structure learning in vine copulas using random search algorithms, outperforming traditional metho...
The paper introduces DeepMartingale, a deep-learning framework addressing the dual formulation of optimal stopping problems, enhancing sc...
The paper presents an atlas-free brain network transformer (BNT) that improves brain network analysis by utilizing individualized brain p...
This article presents a novel feature selection method for a lightweight intrusion detection system (IDS) aimed at early detection of Adv...
This paper introduces ConflictScope, a tool for evaluating how large language models (LLMs) prioritize conflicting values, revealing insi...
This article presents PathVis, a mixed-reality platform designed to enhance digital pathology workflows by integrating multimodal AI and ...
The paper presents Geometric Autoencoders for Bayesian Inversion (GABI), a novel framework for uncertainty quantification in engineering,...
This article presents PoET-2, a multimodal retrieval-augmented protein foundation model that enhances protein function prediction and var...
LinGuinE introduces a novel framework for longitudinal volumetric tumor segmentation, enhancing tracking and mask generation across multi...
The paper presents MomentMix, a novel augmentation technique using Length-Aware DETR to enhance video moment retrieval, particularly for ...
This article presents a novel adaptive design strategy for machine learning interatomic potentials (MLIPs), leveraging Fisher-information...
The paper introduces SODAs, a method for discovering differential-algebraic equations (DAEs) using sparse optimization, enhancing model d...
This paper explores the complexity of neural computation in superposition, establishing theoretical bounds for algorithms and revealing l...
This paper presents the Unbiased Sliced Wasserstein RBF kernel, a novel approach for enhancing audio captioning systems by addressing exp...
The paper explores the differential privacy of quantum and quantum-inspired classical recommendation algorithms, demonstrating their inhe...
This article introduces ReasoningMath-Plus, a benchmark designed to evaluate structural mathematical reasoning in large language models (...
The paper introduces Versor, a novel geometric sequence architecture that leverages Conformal Geometric Algebra for enhanced performance ...
This article explores how non-expert stakeholders assess fairness in AI decision-making, revealing complexities that extend beyond tradit...
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