Latest Statistical ML Research Papers
The newest Statistical ML papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Statistical ML so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.
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- APPLICATION OF MACHINE LEARNING FOR MASS CYTOMETRY DATA ANALYSIS OF CHRONIC LYMPHOCYTIC LEUKAEMIAMuizdeen Raji · Open MIND · Jan 1, 2031
Mass cytometry is a powerful technique for quantifying intracellular and membrane proteins at single-cell resolution. However, the vast amount of data it generates requires advanced analytical methods to extract meaningful biological insigh…
- Association Between Anxiety and RRBs in Autistic Youth: Role of EthnicityCatherine Rita Callaci · The Scholars Repository - L... · Aug 1, 2027
Autistic youth are at elevated risk for developing co-occurring anxiety symptoms (Zaboski & Storch, 2018), which are shown to be related to restricted, repetitive behaviors (RRBs; Rogers et al., 2012). Despite similar rates of autism in Lat…
- 乳児一過性低ガンマグロブリン血症の双胎例 -リンパ球サブセット解析の鑑別診断における有用性雄太 大野, 元礼 巨田, 素子 安冨, 遥 壬生 et al. · Institutional Repositories ... · Mar 1, 2027
The authors report a case of monochorionic diamniotic (MD) twins born at 37 weeks of gestation, both of whom developed hypogammaglobulinemia. Case 1 was a 5-month- old female infant who presented with right-sided methicillin-resistant Staph…
- Investigating the effects of vaping on lung structure and function with pulmonary imagingA. H. SCHMIDT · cIRcle (University of Briti... · Jan 1, 2027
The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires....
- Thermocatalytic transcarbonation with diethyl carbonate for valorization of glycerol : recycling siliceous bauxite residue waste components and exploring the potential of sodalite hydroxide reservoirYvette Szabó, Bence Kutus, Rebeka Mészáros, Péter Bélteky et al. · Repository of the Academy's... · Jan 1, 2027
Bauxite residues contain katoites and desilication products (sodalite and cancrinite), which are excellent candidates for Earth-abundant heterogeneous base catalysts from industrial waste sources. For the first time, they were tested in syn…
- The impact of a story-based intervention on language, literacy, and cognitive development in South African pre-schoolers : randomised controlled trials for two language groupsKate Cain, Jane Oakhill, Shelley O'Carroll, Daleen Klop et al. · Lancaster EPrints (Lancaste... · Dec 31, 2026
Literacy rates in South Africa are low and many children start school without the requisite levels of emergent language and literacy skills needed to succeed. We report two RCTs of a story-based intervention delivered by preschool teachers …
- Accessing primary care following the Affordable Care Act : a qualitative study of low-income women’s experiences in urban CaliforniaA. I. Gilchrist, Paula Holland, Faraz Ahmed · Lancaster EPrints (Lancaste... · Dec 31, 2026
Background The 2010 Affordable Care Act (ACA) led to Medicaid expansion, which expanded eligibility to low-income individuals below 138% of the federal poverty level in 41 states and Washington, DC. In California, over one-third of state re…
- TaIlored ManagEment of Sleep (TIMES) for people with dementia and mild cognitive impairment in primary care in England: protocol for a feasibility cluster-randomised controlled trialJayden van Horik, Louise Allan, Aidin Aryankhesal, Niall M. Broomfield et al. · Aston Publications Explorer... · Dec 31, 2026
BACKGROUND: People living with dementia (PLWD) and mild cognitive impairment (MCI), and their family carers, often experience sleep disturbance which can impair daily living and care. There are limited options for effective long-term pharma…
- FibreCastML : an open web platform for predicting electrospun nanofibre diameter distributions for biomedical applicationsElisa Roldan, Kirstie Andrews, Stephen M. Richardson, Reyhaneh Fatahian et al. · Lancaster EPrints (Lancaste... · Dec 31, 2026
Introduction Electrospinning is a scalable technique for generating fibrous scaffolds with tunable micro- and nanoscale architectures for tissue engineering, drug delivery, and wound care. Machine learning (ML) has emerged as a powerful too…
- Exposure with response prevention in virtual reality for obsessive-compulsive disorder: A randomized controlled trialL. Rolvien, L. Jelinek, L. Lohse, S. Moritz et al. · MPG.PuRe (Max Planck Society) · Dec 31, 2026
- Cistitis por Corynebacteri umurealyticum en un gato con obstrucción urinaria recurrente: reporte de casoLourdes Alberione · Academic Production · Dec 31, 2026
La enfermedad del tracto urinario inferior felino, constituye una de las causas más frecuentes de consulta en la clínica de pequeños animales, con un espectro etiológico amplio que incluye procesos obstructivos, inflamatorios, infecciosos y…
- Uso de la dexmedetomidina en el punto GV20 como parte del protocolo anestésico en orquiectomía de gatos domésticos: reporte de casosMaximiliano Quer · Academic Production · Dec 31, 2026
El presente estudio evaluó el efecto sedante de la dexmedetomidina administrada en el punto de acupuntura GV20 como parte del protocolo anestésico en gatos domésticos sometidos a orquiectomía. Se trabajó con cuatro felinos clínicamente sano…
- Differential Motor Signatures in Isolated and Narcolepsy-related REM Sleep Behavior Disorder: A Preliminary StudyPanagis Drakatos, Iain Duncan, Danielle Wassermann, Valentina Gnoni et al. · Research Portal (King's Col... · Dec 23, 2026
- DATA-DRIVEN DECISIONS: HOW ANALYTICS IS RESHAPING MARKETING STRATEGYDR.C Rani, Mangali vineeth, Peddapuram Manicharan goud, Kotha Somnath Reddy et al. · Zenodo (CERN European Organ... · Dec 15, 2026
ABSTRACT AI and Machine Learning (ML) are core technological drivers, restructuring strategic planning and enabling high-level hyper-personalization through predictive analytics. These technologies significantly boost performance, efficienc…
- DATA-DRIVEN DECISIONS: HOW ANALYTICS IS RESHAPING MARKETING STRATEGYDR.C Rani, Mangali vineeth, Peddapuram Manicharan goud, Kotha Somnath Reddy et al. · Zenodo (CERN European Organ... · Dec 15, 2026
ABSTRACT AI and Machine Learning (ML) are core technological drivers, restructuring strategic planning and enabling high-level hyper-personalization through predictive analytics. These technologies significantly boost performance, efficienc…
- Development and Validation of a UV Spectrophotometric Method for the Simultaneous Estimation of Lornoxicam and Thiocolchicoside in Combined Dosage FormSunku Kyathi Nandini, Kommineni Vinutha, Sridevi Pingali · Zenodo (CERN European Organ... · Dec 7, 2026
ABSTRACT A simple, precise, and accurate UV spectrophotometric method was developed and validated for the simultaneous estimation of Lornoxicam and Thiocolchicoside in bulk and pharmaceutical formulations. The method employs methanol as sol…
- Development and Validation of a UV Spectrophotometric Method for the Simultaneous Estimation of Lornoxicam and Thiocolchicoside in Combined Dosage FormSunku Kyathi Nandini, Kommineni Vinutha, Sridevi Pingali · Zenodo (CERN European Organ... · Dec 7, 2026
ABSTRACT A simple, precise, and accurate UV spectrophotometric method was developed and validated for the simultaneous estimation of Lornoxicam and Thiocolchicoside in bulk and pharmaceutical formulations. The method employs methanol as sol…
- Ultra-processed foods:challenging corporate power and promoting local food systems to reclaim healthAngela Carriedo Lutzenkirchen, Mary Labbé, T. Alafia Samuels, Kent Buse · Aston Publications Explorer... · Dec 1, 2026
The 2025 Lancet Series on ultra-processed foods (UPFs) marks a turning point in global health by reframing UPFs not simply as unhealthy products, but as outcomes of food systems shaped by corporate power, trade liberalisation, and extractiv…
- Spider venom peptides Ht1a and Gg1a are toxic to honeybee parasite <i>Varroa destructor</i> by topical application.Volker Herzig, Shaodong Guo, David A. Eagles, Sandy S. Pineda et al. · PubMed · Dec 1, 2026
influx. Our data reveal Ht1a and Gg1a as promising candidates for the development of novel varroa mite treatments of honeybee hives....
- X-ray crystal structures of the cannabinoid synthases CBCAS, CBDAS and THCASGIDEON JAMES GROGAN, Jack Domenech, Jared Cartwright, Andrew King et al. · White Rose Research Online ... · Dec 1, 2026
The enzymes Cannabichromenic Acid Synthase (CBCAS), Cannabidiolic Acid Synthase (CBDAS) and Tetrahydrocannabinolic Acid Synthase (THCAS) are together the major cannabinoid synthase enzymes responsible for the biosynthesis of their respectiv…
- Unsupervised Consensus-Based Anomaly Detection for Spatiotemporal Malaria Incidence in GhanaT. Ansah-Narh, Y. Asare Afrane · arXiv · Jul 23, 2026
A consensus anomaly detection framework was applied to monthly malaria surveillance data from Ghana (2014-2023) to identify atypical transmission patterns. Anomalies were highly structured in space and time. Ashanti and Northern Regions acc…
- Zero-Flow Two-Sample TestsYakun Wang, Leyang Wang, Song Liu, Taiji Suzuki · arXiv · Jul 23, 2026
We propose a new approach to two-sample testing for deciding whether two sets of samples are drawn from the same distribution. The test is built on a statistical discrepancy based on the zero-flow criterion, termed zero-flow discrepancy (ZF…
- Optimal use of a black-box learner in semiparametric estimationYihong Gu · arXiv · Jul 23, 2026
Consider the partial linear model $Y = μ_0(X) + β_0 \cdot T + \varepsilon$ and $T = π_0(X) + u$ in the structure-agnostic setting, where we are blind to the structure $μ_0$ and $π_0$ and estimate the nuisances by a black-box hypothesis clas…
- Finite-Sample Coverage Audits for High-Recall Candidate Generation: Certification and Learning-Theoretic DesignMartin Anthony, Kaveh Salehzadeh Nobari · arXiv · Jul 23, 2026
An initial high-recall stage in an empirical pipeline decides which items pass to later review, labelling, or modelling, and relevant items it misses are lost to every subsequent stage. We study how many audit labels are needed to certify, …
- Semantic-Aware Task Clustering for Constructive and Cooperative Multi-TaskingAhmad Halimi Razlighi, Maximilian H. V. Tillmann, Edgar Beck, Bho Matthiesen et al. · arXiv · Jul 23, 2026
Cooperative multi-task semantic communication (CMT-SemCom) improves task execution performance by leveraging shared representations. However, as we demonstrated in [1], cooperative multi-tasking can be either constructive or destructive, de…
- Cautious optimism for deep parameterized quantum circuitsMarie Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto, Aroosa Ijaz et al. · arXiv · Jul 23, 2026
A central challenge in quantum machine learning is understanding the scaling behavior of parameterized quantum circuits (PQCs). In particular, it remains unclear how their performance on unseen data changes as the number of trainable parame…
- Hilbert Operator for Progressive Encoding (HOPE): A Mathematical Framework for Deconstructing Learned Representations in Deep NetworksHossein Mobahi, Peter L. Bartlett · arXiv · Jul 23, 2026
Deep neural networks encode complex representations, but deconstructing this internal knowledge remains a challenge. Given the link between learning and compression, network compression offers a promising lens to analyze this knowledge. How…
- Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and ForecastingFerdinand Bhavsar, Lionel Benoit, Maxime Savatier, Edith Gabriel · arXiv · Jul 23, 2026
The modeling of hydrometeorological time series with limited observations is a key challenge in the monitoring of hydro-systems and water resources, as well as for flood or drought risk assessment. Due to the high variability of the underly…
- Smooth Neural Point Processes via B-SplinesMichele Bellomo, Riccardo Ramaschi, Alberto Dolara, Tomaso Aste · arXiv · Jul 23, 2026
Temporal point processes (TPPs) provide a general and flexible framework for modeling sequences of events in continuous time. Neural networks have been successfully employed to model TPPs in a highly expressive and data-driven way. Neural T…
- Automatic knot selection in smooth additive modelsNicolás Carrizosa, Vanesa Guerrero, María Durbán · arXiv · Jul 23, 2026
B-spline regression constitutes a widely used framework for nonparametric modeling. The performance of this methodology depends on specifying the number and placement of changepoints, known as knots, prior to the estimation process. Such kn…