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data science

3,686 papers

#artificial intelligence Preprint Open access Oct 2026

Learning to Cover Locally: Graph Neural Combinatorial Optimization under a Hard Information Horizon

Neural combinatorial optimization typically assumes a centralized solver that reads the whole instance. We study the opposite: combinatorial optimization under a hard information horizon, where every node commits to its share of a global solution seeing only its $k$-hop neighborhood, and those commitments must compose...

Johannes F. Loevenich, Thies Moehlenhof, Laurin Holz et al. · 0 citations
#artificial intelligence Preprint Sep 2026

MatrixReward: Reward from Rubric Matrix for Open-Ended Generation

Open-ended query generation lacks standard answers, thus necessitating an effective reward mechanism. Pointwise scoring rubrics provide limited information about the relative quality of sample answers under the same prompt; merging multiple rubric judgments into a single score may also mask the differences between thes...

Zi-Hang Shen, Qi Liu, Zi-Xuan Yang et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

FAER: Auditable Utility-Aligned Trajectory Replay for Language Model Post-Training

Replay selectors often rank cached trajectories by format feedback, confidence, freshness, or response length, although cache-level correctness and downstream learner utility are distinct objectives. We formalize this selection-to-learning gap and introduce FAER as an auditable full-trajectory replay framework. Its tra...

Miaobo Hu, Shuhao Hu, Xiaobo Guo et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Partial AUC Maximization from Positive-unlabeled Data

The partial area under the receiver operating characteristic curve (pAUC) is an important performance metric for binary classification that summarizes true positive rates within a specific range of false positive rates (FPRs). Classifiers that achieve high pAUC need to be obtained in many real-world applications such a...

Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Learning Multiple Timescales for Goal-Conditioned Reinforcement Learning

Existing approaches to offline goal-conditioned reinforcement learning (GCRL) struggle with long-horizon tasks. Discounting shrinks value differences between distant states until they fall below the function approximation error, leaving the agent with no signal for ranking states. Temporal abstraction, which treats k e...

P. Dutenhefner, Dikshant Shehmar, Wagner Meira et al. · 0 citations
#data science Open access Oct 2026

Replication materials for "The marginal value of alternative data in credit screening: Evidence from Chinese digital lending"

Replication materials accompanying “The marginal value of alternative data in credit screening: Evidence from Chinese digital lending” by Yuan Chen and Jiawei Xu. The package contains instructions for obtaining the source data, environment specifications, data processing and modelling scripts, parameter settings, rando...

Chen Yuan, Xu Jiawei · 0 citations
#data science Open access Oct 2026

Replication materials for "The marginal value of alternative data in credit screening: Evidence from Chinese digital lending"

Replication materials accompanying “The marginal value of alternative data in credit screening: Evidence from Chinese digital lending” by Yuan Chen and Jiawei Xu. The package contains instructions for obtaining the source data, environment specifications, data processing and modelling scripts, parameter settings, rando...

Chen Yuan, Xu Jiawei · 0 citations
#data science Open access Oct 2026

Professionalism and Knowledge Acquisition in the Medical Science Liaison Process: A Study on Physicians' Attitude Formation

Pharmaceutical companies increasingly rely on Medical Science Liaisons (MSLs), which is a structured, science-led process of engagement rather than a sales role, to exchange clinical evidence with specialist healthcare professionals (HCPs). However, few empirical studies have explored the relationship between the perce...

Muhammad Usman, Muhammad Amin · 0 citations
#data science Review Open access Dec 2026

Social determinants of health interventions to advance health equity in sub-Saharan Africa: A systematic review and meta-analysis

Social determinants of health interventions can significantly improve health and reduce inequities in sub-Saharan Africa and the need for increased investment in social determinants approaches to achieve health equity is supported.

O. Sanni, A. E. Sanni · 0 citations
#data science Dataset Open access Oct 2026

Methodological quality of health research from Saudi Arabia: data and code

De-identified data and analysis code for a cross-sectional meta-research study of the methodological quality of health research from Saudi Arabia. A random sample of 385 studies was drawn from all 5,558 PubMed-indexed primary human health studies with at least one Saudi-affiliated author published in 2022. Each study w...

Talal S. Alshihayb, Alhanoof Aburas, Maha Alattas et al. · 0 citations
#data science Review Open access Oct 2026

A review of manual, semi-automatic, and automated methods in dental radiographic analysis for clinical and forensic diagnosis

Dental radiography serves as a crucial tool in clinical diagnosis, treatment planning, and forensic identification. Advances in imaging technologies such as panoramic radiography orthopantomogram (OPG), periapical imaging, and cone-beam computed tomography (CBCT) have significantly enhanced diagnostic capabilities. In...

Nur Nafi'iyah, Rifky Aisyatul Faroh, E. Astuti et al. · 0 citations
#data science Open access Oct 2026

Analisis Keaktifan Siswa Kelas VIII Pada Pembelajaran PjBL-STEM Materi Pemisahan Campuran

Keaktifan siswa merupakan salah satu aspek penting dalam menciptakan pembelajaran IPA yang bermakna. Namun, pembelajaran di kelas masih didominasi oleh aktivitas yang berpusat pada guru sehingga partisipasi siswa belum optimal. Penelitian ini memiliki tujuan menganalisis keaktifan siswa kelas VIII pada pembelajaran Pro...

Alfi Lailia, Hari Wisodo, Ferdi Dwi Sagitha · 0 citations

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GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

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