Cover Image

Video - Binary Classification Models for Stroke Outcome Prediction

Fuente: Zenodo

Saved in:

Bibliographic Details
Main Authors:	Virgilijus Sakalauskas, Dalia Kriksciuniene
Format:	Recurso digital
Published:	Zenodo 2025
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Intelligent Systems for Sustainable Person-Centered Healthcare
by: Dalia Kriksciuniene

Individual Intrapreneurial Behavior Effect on Project Success: Profiles and Distinct Outcomes
by: Eduardo Carvalho Sakalauskas
Published: (2023)

Latentinės nepilnamečių delinkvencijos apraiškų ir tendencijų Lietuvoje tarptautinis palyginimas*
by: Sakalauskas Gintautas
Published: (2022)

EXPLAINING THE CHANGES OF AGRICULTURE LAND PRICES IN LITHUANIA
by: Virgilijus Rutkauskas
Published: (2018)

FINANCIAL STABILITY, FISCAL SUSTAINABILITY AND CHANGES IN DEBT STRUCTURE AFTER ECONOMIC DOWNTURN
by: Virgilijus Rutkauskas
Published: (2015)

FACTORS BEHIND WEAK TAX MORALE: THE CASE OF EUROPEAN UNION COUNTRIES
by: Virgilijus Rutkauskas
Published: (2016)

Tax Morale and Public Sector Revenues in Baltic Countries
by: Virgilijus Rutkauskas
Published: (2019)

Atskyrimo (khōrismos) doktrinos kritika Aristotelio Metafizikoje
by: Virgilijus Petuška
Published: (2019)

Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment
by: Ma, Danqing, et al.
Published: (2024)

Classification Models Analysis for Stroke Prediction
by: Santos, Dheiver Francisco
Published: (2023)

TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction
by: Samak, Zeynel A., et al.
Published: (2023)

Effect of Enzyme on Chromed Leather Dyeing With Acidic Dyes
by: Renata Biškauskaitė-Ulinskė, et al.
Published: (2025)

Random Forest-Based Prediction of Stroke Outcome
by: Fernandez-Lozano, Carlos, et al.
Published: (2024)

Implementation of Learning with Errors in Non-Commuting Multiplicative Groups
by: Mihalkovič, Aleksejus, et al.
Published: (2025)

Binary Outcome Models with Extreme Covariates: Estimation and Prediction
by: Liu, Laura, et al.
Published: (2025)

Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
by: Stone, Adam J., et al.
Published: (2025)

Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
by: Kapoor, Anjali K., et al.
Published: (2026)

Symbolic Branch Networks: Tree-Inherited Neural Models for Interpretable Multiclass Classification
by: Rodríguez-Salas, Dalia
Published: (2025)

Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives
by: Samak, Zeynel A., et al.
Published: (2024)

Differences in Mathematical and Verbal Achievement Between Girls and Boys: The Heuristic Potential of the Structural Typing Approach in Large‐Scale Studies
by: Gediminas Merkys, et al.
Published: (2024)

Circulating Neutrophil‐to‐Lymphocyte Ratio Predicts Stroke‐Associated Infection and Poststroke Fatigue Affecting Long‐Term Neurological Outcomes in Stroke Patients
by: Lei Zuo, et al.
Published: (2025)

COPE: Chain-Of-Thought Prediction Engine for Open-Source Large Language Model Based Stroke Outcome Prediction from Clinical Notes
by: Liu, Yongkai, et al.
Published: (2025)

Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification
by: Zhu, Xiaohan, et al.
Published: (2026)

Beyond Binary Classification: Detecting Fine-Grained Sexism in Social Media Videos
by: De Grazia, Laura, et al.
Published: (2026)

A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization
by: Mohammad Amin, et al.
Published: (2025)

Partial Identification of Binary Choice Models with Misreported Outcomes
by: Mondal, Orville, et al.
Published: (2024)

Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction
by: Raeisadigh, Sina, et al.
Published: (2025)

Comparison of Achalasia Classification Schemes to Predict Treatment Outcomes
by: Dustin A. Carlson, et al.
Published: (2026)

Depressive Symptoms Profiles and Cognitive Outcomes After Stroke
by: Giuseppe Scopelliti, et al.
Published: (2025)

Challenges in Binary Classification
by: Yang, Pengbo, et al.
Published: (2024)

Retracted: Influence Factors and Predictive Models for the Outcome of Patients with Ischemic Stroke after Intravenous Thrombolysis: A Multicenter Retrospective Cohort Study
by: Oxidative Medicine and Cellular Longevity
Published: (2024)

StrokeNet: Unveiling How to Learn Fine-Grained Interactions in Online Handwritten Stroke Classification
by: Huang, Yiheng, et al.
Published: (2025)

Using a Binary Classification Model to Predict the Likelihood of Enrolment to the Undergraduate Program of a Philippine University
by: Esquivel, Dr. Joseph A., et al.
Published: (2020)

Comparative Analysis of Stroke Prediction Models Using Machine Learning
by: Tashkova, Anastasija, et al.
Published: (2025)

BinaryPPO: Efficient Policy Optimization for Binary Classification
by: Pandey, Punya Syon, et al.
Published: (2026)

Binary Classification with the Maximum Score Model and Linear Programming
by: Horowitz, Joel L., et al.
Published: (2025)

A New Transformation Approach for Uplift Modeling with Binary Outcome
by: Li, Kun, et al.
Published: (2023)

TemPose-TF-ASF: Two-Stage Bidirectional Stroke Context Fusion for Badminton Stroke Classification
by: Liu, Tzu-Yu, et al.
Published: (2026)

StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery
by: Ramos, Leo Thomas, et al.
Published: (2026)

Optimal Symmetries in Binary Classification
by: Ngairangbam, Vishal S., et al.
Published: (2024)