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Showing 34746 results for "databases"
Computer Science Preprint PDF DOI

LLM-supported document separation for printed reviews from zbMATH Open

Ivan Pluzhnikov, Ankit Satpute, Moritz Schubotz, Olaf Teschke, Bela Gipp ยท 2026

This paper presents a specialized methodology for digitizing and segmenting mathematical documents from zbMATH Open, a comprehensive database of mathematical literature, to enhance machine processing โ€ฆ

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Computer Science Preprint PDF DOI

Lightweight, Practical Encrypted Face Recognition with GPU Support

Gabrielle De Micheli, Syed Mahbub Hafiz, Geovandro Pereira, Eduardo L. Cominetti, Thales B. Paiva, Jina Choi, Marcos A. Simplicio Jr, Bahattin Yildiz ยท 2026

Face recognition models operate in a client-server setting where a client extracts a compact face embedding and a server performs similarity search over a template database. This raises privacy concerโ€ฆ

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Physics Preprint PDF DOI

A machine learning framework for developing quasilinear saturation rules of turbulent transport from linear gyrokinetic data

Preeti Sar, Sebastian De Pascuale, Harry Dudding, Gary Staebler ยท 2026

A new neural network model for a quasilinear saturation rule has been developed to map linear gyrokinetic data to nonlinear saturated potential magnitudes to predict the total energy and particle fluxโ€ฆ

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AI & Data Science Preprint PDF DOI

Distributional regression models for meta-analysis

Yefeng Yang, Shinichi Nakagawa ยท 2026

Meta-analyses are regarded as the highest level in the hierarchy of evidence, yet standard models traditionally concentrated on estimating the mean effect size, often under restrictive assumptions aboโ€ฆ

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Computer Science Preprint PDF DOI

Making Array-Based Translation Practical for Modern, High-Performance Buffer Management

Xinjing Zhou, Jinming Hu, Andrew Pavlo, Michael Stonebraker ยท 2026

Modern buffer pools must now support a broader workload mix than classic OLTP alone. In addition to B-tree lookups, database systems increasingly serve scan-heavy analytics and vector-search indexes wโ€ฆ

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AI & Data Science Preprint PDF DOI

Improving Generalization of Deep Learning for Brain Metastases Segmentation Across Institutions

Yuchen Yang, Shuangyang Zhong, Haijun Yu, Langcuomu Suo, Hongbin Han, Florian Putz, Yixing Huang ยท 2026

Background: Deep learning has demonstrated significant potential for automated brain metastases (BM) segmentation; however, models trained at a singular institution often exhibit suboptimal performancโ€ฆ

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AI & Data Science Preprint PDF DOI

Causal Inference for Unobservable Multivariate Outcomes, with Applications to Brain Effective Connectivity

Haiyue Song, Ani Eloyan, Youjin Lee ยท 2026

Evaluating the causal effect of an intervention on multivariate outcomes is challenging when the outcomes are interdependent and derived rather than directly observed. Effective connectivity, which suโ€ฆ

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Computer Science Preprint PDF DOI

Inference-Aware & Privacy-Preserving Deletion in Databases

Vishal Chakraborty, Youri Kaminsky, Arnav Abhijit Dhariya, Sharad Mehrotra, Felix Naumann, Sarvesh Pandey ยท 2026

Deletion is a fundamental database operation, yet modern systems often fail to provide the privacy guarantee that users expect from it. A deleted value may disappear from query results and even from pโ€ฆ

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Computer Science Preprint PDF DOI

Reasoning about Transactional Isolation Levels with Isolde

Manuel Barros, Alcino Cunha, Jose Pereira, Eunsuk Kang ยท 2026

Most databases can be configured to operate under isolation levels weaker than serializability. These enforce fewer restrictions on the concurrent access to data and consequently allow for more perforโ€ฆ

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Computer Science Preprint PDF DOI

Source Known Identifiers: A Three-Tier Identity System for Distributed Applications

Duran Serkan K{i}l{i}c ยท 2026

Distributed applications need identifiers that satisfy storage efficiency, chronological sortability, origin metadata embedding, zero-lookup verifiability, confidentiality for external consumers, and โ€ฆ

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AI & Data Science Preprint PDF DOI

Task Scarcity and Label Leakage in Relational Transfer Learning

Francisco Galuppo Azevedo, Clarissa Lima Loures, Denis Oliveira Correa ยท 2026

Training relational foundation models requires learning representations that transfer across tasks, yet available supervision is typically limited to a small number of prediction targets per database.โ€ฆ

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Physics Preprint PDF DOI

The SPHEREx Instrument: Calibration, testing and performance measurements of the NIR 2 spectroscopic surveyor from the laboratory to in-orbit commissioning

Phil M. Korngut, James J. Bock, Samuel Condon, C. Darren Dowell, Candice M. Fazar, Howard Hui, Bradley D. Moore, Bret J. Naylor, Chi H. Nguyen, Stephen Padin, James Wincentsen, Asad M. Aboobaker, Rachel Akeson, John M. Alred, Farah Alibay, Matthew L. N. Ashby, Yoonsoo P. Bach, Joseph Bichel, Douglas Bolton, David F. Braun, Thomas Brown, Sean A. Bryan, Jill Burnham, Thomas A. Burk, Nicholas Burke, Ben Catching, Tzu-Ching Chang, Shuang-Shuang Chen, Yun-Ting Cheng, Yi-Kuan Chiang, Yong Chong, Asantha Cooray, Walter R. Cook, Velibor Cormarkovic, Brendan P. Crill, Ari J. Cukierman, Andrew Davis, Dan Darga, Thomas Disarro, Olivier Dore, Beth E. Fabinsky, Andreas L. Faisst, James L. Fanson, Allen H. Farrington, Tamim Fatahi, Richard M. Feder, Eric H. Frater, Tatiana Goldina, Varoujan Gorjian, William G. Hart, Warren Hendricks, Joseph L. Hora, Viktor Hristov, Zhaoyu Huai, Charles A. Hulse, Young-Soo Jo, Woong-Seob Jeong, Makenzie L. Kamei, Jae Hwan Kang, Branislav Kecman, Will Marchant, Giacomo Mariani, Daniel C. Masters, Gary J. Melnick, Hiromasa Miyasaka, Giulia Murgia, Christina Nelson, Hien T. Nguyen, Christopher Owen, Roberta Paladini, Sung-Joon Park, Harshad Patil, Konstantin Penanen, Chris Piazzo, Jeonghyun Pyo, Amelia Quon, Keshav Ramanathan, Zafar Rustamkulov, Daniel J. Reiley, Eric B. Rice, Flora Ridenhour, Amber Roberts, Jennifer M. Rocca, Alessandro Signorini, Sara Susca, Volker Tolls, Phani Velicheti, Pao-Yu Wang, Michael W. Werner, Casey White, Ross Williamson, Yujin Yang, Michael Zemcov ยท 2026

The SPHEREx near-infrared space telescope is an all-sky spectroscopic survey mission launched on March 12th, 2025 UTC. In addition to providing the community with a spectral database applicable to a wโ€ฆ

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Biology & Life Sciences Preprint PDF DOI

Latent-Y: A Lab-Validated Autonomous Agent for De Novo Drug Design

Latent Labs Team: Sebastian M. Schmon, Daniella Pretorius, Simon Mathis, Rebecca Bartke-Croughan, Aishaini Puvanendran, James Vuckovic, Henry Kenlay, Maria Vlachynska, Alex Bridgland, Ivan Grishin, Sven Over, David Li, Bridget Li, Jonathan Crabbe, Agrin Hilmkil, Alexander W. R. Nelson, David Yuan, Annette Obika, Simon A. A. Kohl ยท 2026

Drug discovery relies on iterative expert workflows that are slow to parallelize and difficult to scale. Here we introduce Latent-Y, an AI agent that autonomously executes complete antibody design camโ€ฆ

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Physics Preprint PDF DOI

StarHash: unique, memorable, and deterministic names for astronomical objects

T. L. Killestein ยท 2026

The naming of astronomical objects has represented among the most significant challenges in the record-keeping of the field since the very beginning. Long and unwieldy coordinate names, uninformative โ€ฆ

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Computer Science Preprint PDF DOI

Security in LLM-as-a-Judge: A Comprehensive SoK

Aiman Al Masoud, Antony Anju, Marco Arazzi, Mert Cihangiroglu, Vignesh Kumar Kembu, Serena Nicolazzo, Antonino Nocera, Vinod P., Saraga Sakthidharan ยท 2026

LLM-as-a-Judge (LaaJ) is a novel paradigm in which powerful language models are used to assess the quality, safety, or correctness of generated outputs. While this paradigm has significantly improved โ€ฆ

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AI & Data Science Preprint PDF DOI

Nomad: Autonomous Exploration and Discovery

Bokang Jia, Samta Kamboj, Satheesh Katipomu, Seung Hun Han, Neha Sengupta, Andrew Jackson ยท 2026

We introduce Nomad, a system for autonomous data exploration and insight discovery. Given a corpus of documents, databases, or other data sources, users rarely know the full set of questions, hypothesโ€ฆ

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AI & Data Science Preprint PDF DOI

Hierarchical Visual Relocalization with Nearest View Synthesis from Feature Gaussian Splatting

Huaqi Tao, Bingxi Liu, Guangcheng Chen, Fulin Tang, Li He, Hong Zhang ยท 2026

Visual relocalization is a fundamental task in the field of 3D computer vision, estimating a camera's pose when it revisits a previously known scene. While point-based hierarchical relocalization methโ€ฆ

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AI & Data Science Preprint PDF DOI

Knowledge database development by large language models for countermeasures against viruses and marine toxins

Hung N. Do, Jessica Z. Kubicek-Sutherland, S. Gnanakaran ยท 2026

Access to the most up-to-date information on medical countermeasures is important for the research and development of effective treatments for viruses and marine toxins. However, there is a lack of coโ€ฆ

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Computer Science Preprint PDF DOI

SteelDB: Diagnosing Kernel-Space Bottlenecks in Cloud OLTP Databases

Mitsumasa Kondo ยท 2026

Modern cloud OLTP databases have sought performance primarily through user-space optimization - separating storage and compute layers, or distributing transactions across multiple nodes using consensuโ€ฆ

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AI & Data Science Preprint PDF DOI

A Latent Risk-Aware Machine Learning Approach for Predicting Operational Success in Clinical Trials based on TrialsBank

Iness Halimi, Emmanuel Piffo, Oumnia Boudersa, Yvan Marcel Carre Vilmorin, Melissa Ait-ikhlef, Karima Kone, Andy Tan, Augustin Medina, Juliette Hernando, Sheila Ernest, Vatche Bartekian, Karine Lalonde, Mireille E Schnitzer, Gianolli Dorcelus ยท 2026

Clinical trials are characterized by high costs, extended timelines, and substantial operational risk, yet reliable prospective methods for predicting trial success before initiation remain limited. Eโ€ฆ

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