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Machine Learning Methods — Research Papers | Faculti

All papers by subject

Machine Learning Methods

Core algorithms, techniques, and model architectures in machine learning and AI.

Overview

368,282Articles

Related Topics

Public Health & Epidemiology Chronic & Non-Communicable Diseases Mental & Behavioral Health Artificial Intelligence & Machine Learning Epidemiology & Public Health Maternal & Child Health Clinical Research & Trials Healthcare Systems & Services

supervised learningsemi-supervised learningunsupervised learningactive learningmulti-task learningzero-shot learninggenerative artificial intelligencetransformer architecturegpt-4autoencodervariational autoencoderxgboostsupport vector machinealgorithmsmodel compression

Articles published on Machine Learning Methods

368,282 results

9 Jan 2026|arxiv:2411.09452

Sparse Interval-valued Time Series Modeling with Machine Learning

Haowen Bao; Yongmiao Hong; Yuying Sun; Shouyang Wang2024·arXiv Preprint

27 Feb 2026|arxiv:2403.00032

Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model

Nikolaos Nakis; Abdulkadir Celikkanat; Louis Boucherie; Sune Lehmann; Morten Mørup2024·arXiv Preprint

14 Jan 2026|10.1134/S1064562423701600

Optimal Data Splitting in Distributed Optimization for Machine Learning

Daniil Medyakov; Gleb Molodtsov; Aleksandr Beznosikov; Alexander Gasnikov2024·arXiv Preprint

27 Jan 2026|arxiv:2401.15695

HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation

David Bethge; Daniel Bulanda; Adam Kozlowski; Thomas Kosch; Albrecht Schmidt; Tobias Grosse-Puppendahl2024·arXiv Preprint

11 Jan 2026|10.1038/s41598-024-60181-9

Research on a machine learning-based adaptive and efficient screening model for psychological symptoms of community correctional prisoners.

Xu; Zhifei; Pan; Zhigeng; Wang + 3 more2024·Scientific reportsTier 2

16 Jan 2026|arxiv:2401.09198

Space and Time Continuous Physics Simulation From Partial Observations

Janny Steeven; Nadri Madiha; Digne Julie; Wolf Christian2024·arXiv Preprint

22 Jan 2026|arxiv:2401.12745

On the Utility of Probing Trajectories for Algorithm-Selection

Quentin Renau; Emma Hart2024·arXiv Preprint

9 Jan 2026|arxiv:2412.16773

Fast Multi-Group Gaussian Process Factor Models

Evren Gokcen; Anna I. Jasper; Adam Kohn; Christian K. Machens; Byron M. Yu2024·arXiv Preprint

17 Jan 2026|10.1038/s41598-024-65088-z

Cross-cultural comparison of beauty judgments in visual art using machine learning analysis of art attribute predictors among Japanese and German speakers.

Mikuni; Jan; Spee; Blanca T M; Forlani + 8 more2024·Scientific reportsTier 2

7 Apr 2026|10.1016/j.ygeno.2024.110842

Advancements in long-read genome sequencing technologies and algorithms

Elena Espinosa; Rocío Bautista; Rafael Larrosa Jiménez et al.2024·GenomicsTier 2

17 Jan 2026|10.1111/1475-6773.14282

Separating the wheat from the chaff: How to measure hospital quality in routine data?

Bilger; Jana; Pletscher; Mark; Müller + 1 more2024·Health services researchTier 1

24 Jan 2026|arxiv:2401.14110

Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators

Yaniv Blumenfeld; Itay Hubara; Daniel Soudry2024·arXiv Preprint

13 Mar 2026|arxiv:2403.08854

Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling

Rikab Gambhir; Athis Osathapan; Jesse Thaler2024·arXiv Preprint

14 Feb 2026|arxiv:2402.10011

Clifford Group Equivariant Simplicial Message Passing Networks

Cong Liu; David Ruhe; Floor Eijkelboom; Patrick Forré2024·arXiv Preprint

10 Jan 2026|https://doi.org/10.1038/s41586-024-08336-6

The conformational space of RNase P RNA in solution

Chemistry

Yun-Tzai Lee; Maximilia Frazão de Souza Degenhardt; Ilias Skeparnias; Hermann F. Degenhardt; Yuba R. Bhandari; Ping Yu; Jason R. Stagno; Lixin Fan; Jinwei Zhang; Yun‐Xing Wang2024·NatureTier 1

24 Jan 2026|10.1371/journal.pcbi.1012511

A modular protein language modelling approach to immunogenicity prediction.

O'Brien; Hugh; Salm; Max; Morton + 14 more2024·PLoS computational biologyTier 2

21 Jan 2026|10.1038/s41598-024-59938-z

Accelerating Material Property Prediction using Generically Complete Isometry Invariants

Jonathan Balasingham; Viktor Zamaraev; Vitaliy Kurlin2024·arXiv Preprint

8 Feb 2026|arxiv:2402.06706

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs

Florian Grötschla; Joël Mathys; Robert Veres; Roger Wattenhofer2024·arXiv Preprint

24 Mar 2026|arxiv:2403.17032

Stochastic parameter reduced-order model based on hybrid machine learning approaches

Cheng Fang; Jinqiao Duan2024·arXiv Preprint

10 Jan 2026|https://doi.org/10.1103/physrevlett.133.261803

Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>Z</mml:mi><mml:mo>+</mml:mo><mml:mtext>jets</mml:mtext></mml:mrow></mml:math> Kinematic Observables with the ATLAS Detector

Physics

G. Aad; Erlend Aakvaag; B. Abbott; Sara Abdelhameed; K. Abeling; Nils Julius Abicht; S. H. Abidi; Mohammed Aboelela; A. Aboulhorma; H. Abramowicz; H. Abreu; Y. Abulaiti; B. S. Acharya; Anke Ackermann; C. Adam Bourdarios; L. Adamczyk; S. V. Addepalli; M. J. Addison; J. Adelman; A. Adıgüzel; T. Adye; A. A. Affolder; Y. Afik; M. N. Agaras; J. Agarwala; A. Aggarwal; C. Agheorghiesei; F. Ahmadov; W. S. Ahmed; S. Ahuja; X. Ai; G. Aielli; A. Aikot; M. Ait Tamlihat; B. Aitbenchikh; M. Akbiyik; T. P. A. Åkesson; A. V. Akimov; D. Akiyama; Nilima Nilesh Akolkar; S. Aktas; K. Al Khoury; G. L. Alberghi; J. Albert; P. Albicocco; Guillaume Lucas Albouy; S. Alderweireldt; Z. L. Alegria; M. Aleksa; Igor Alexandrov2024·Physical Review LettersTier 1

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