An Empirical Evaluation of Regression, AdaBoost and TensorFlow Models for Heart Disease Prediction
Fuente:
Zenodo
Saved in:
| Main Author: | Ms. Hiralkumari Babulal Chauhan |
|---|---|
| Format: | Recurso digital |
| Published: |
Zenodo
2026
|
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
by: Lu, Weigang, et al.
Published: (2024)
by: Lu, Weigang, et al.
Published: (2024)
Supervised Learning Guarantee for Quantum AdaBoost
by: Wang, Yabo, et al.
Published: (2024)
by: Wang, Yabo, et al.
Published: (2024)
AdaBoost is not an Optimal Weak to Strong Learner
by: Høgsgaard, Mikael Møller, et al.
Published: (2023)
by: Høgsgaard, Mikael Møller, et al.
Published: (2023)
PENEX: AdaBoost-Inspired Neural Network Regularization
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
When Analytic Calculus Cracks AdaBoost Code
by: Brossier, Jean-Marc, et al.
Published: (2023)
by: Brossier, Jean-Marc, et al.
Published: (2023)
A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden
by: Purohit, Vishal, et al.
Published: (2024)
by: Purohit, Vishal, et al.
Published: (2024)
EEG based Person Identification Using AdaBoost Algorithm
by: Pakgohar, Amirpouya
Published: (2018)
by: Pakgohar, Amirpouya
Published: (2018)
Binary classifiers versus AdaBoost for labeling of digital documents
by: Arturo Montejo-Ráez
Published: (2006)
by: Arturo Montejo-Ráez
Published: (2006)
AdaBoost Does Not Always Cycle: A Computer-Assisted Counterexample
by: Wang, Erik Y.
Published: (2026)
by: Wang, Erik Y.
Published: (2026)
GAdaBoost: An Efficient and Robust AdaBoost Algorithm Based on Granular-Ball Structure
by: Xie, Qin, et al.
Published: (2025)
by: Xie, Qin, et al.
Published: (2025)
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications
by: Oghlukyan, Arthur, et al.
Published: (2025)
by: Oghlukyan, Arthur, et al.
Published: (2025)
The VC-dimension of a class of multiples of the primes, and a connection to AdaBoost
by: Thomas, Andrew M.
Published: (2022)
by: Thomas, Andrew M.
Published: (2022)
Support Vector Boosting Machine (SVBM): Enhancing Classification Performance with AdaBoost and Residual Connections
by: Lian, Junbo Jacob
Published: (2024)
by: Lian, Junbo Jacob
Published: (2024)
Improved AdaBoost for Virtual Reality Experience Prediction Based on Long Short-Term Memory Network
by: Fan, Wenhan, et al.
Published: (2024)
by: Fan, Wenhan, et al.
Published: (2024)
Deep Learning with TensorFlow: A Review
by: Pang, Bo, et al.
Published: (2020)
by: Pang, Bo, et al.
Published: (2020)
TensorFlow Hydrodynamics Analysis for Ly-$α$ Simulations
by: Ding, Jupiter, et al.
Published: (2024)
by: Ding, Jupiter, et al.
Published: (2024)
AdaBoost-Based Efficient Channel Estimation and Data Detection in One-Bit Massive MIMO
by: Esfandiari, Majdoddin, et al.
Published: (2024)
by: Esfandiari, Majdoddin, et al.
Published: (2024)
TFDWT: Fast Discrete Wavelet Transform TensorFlow Layers
by: Tarafdar, Kishore K., et al.
Published: (2025)
by: Tarafdar, Kishore K., et al.
Published: (2025)
Diagnosing Parkinson's Disease from Voice Using Random Forest and Conversion in TensorFlow Lite
by: Rossi, Angela
Published: (2025)
by: Rossi, Angela
Published: (2025)
Recursive Function Definitions in Static Dataflow Graphs and their Implementation in TensorFlow
by: Kostopoulou, Kelly, et al.
Published: (2024)
by: Kostopoulou, Kelly, et al.
Published: (2024)
TensorCRO: A TensorFlow‐based implementation of a multi‐method ensemble for optimization
by: A. Palomo‐Alonso, et al.
Published: (2024)
by: A. Palomo‐Alonso, et al.
Published: (2024)
Towards Ultimate Accuracy in Quantum Multi-Class Classification: A Trace-Distance Binary Tree AdaBoost Classifier
by: Wang, Xin, et al.
Published: (2026)
by: Wang, Xin, et al.
Published: (2026)
Machine learning in neurological disorders: A multivariate LSTM and AdaBoost approach to Alzheimer's disease time series analysis
by: Muhammad Irfan, et al.
Published: (2024)
by: Muhammad Irfan, et al.
Published: (2024)
iGENE: A Differentiable Flux-Tube Gyrokinetic Code in TensorFlow
by: Artigues, Victor, et al.
Published: (2026)
by: Artigues, Victor, et al.
Published: (2026)
Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks
by: Furlong, Aidan, et al.
Published: (2025)
by: Furlong, Aidan, et al.
Published: (2025)
One Documentation Does Not Fit All: Case Study of TensorFlow Documentation
by: Thirimanne, Sharuka Promodya, et al.
Published: (2025)
by: Thirimanne, Sharuka Promodya, et al.
Published: (2025)
Optimizing Machine Learning Workflows with Google Cloud Dataflow and TensorFlow Extended (TFX)
by: URF Publishers
Published: (2021)
by: URF Publishers
Published: (2021)
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
by: Li, Hao, et al.
Published: (2024)
by: Li, Hao, et al.
Published: (2024)
A Multi-agent AI System for Deep Learning Model Migration from TensorFlow to JAX
by: Nikolov, Stoyan, et al.
Published: (2026)
by: Nikolov, Stoyan, et al.
Published: (2026)
Performance evaluation of rock fragmentation prediction based on RF‐BOA, AdaBoost‐BOA, GBoost‐BOA, and ERT‐BOA hybrid models
by: Junjie Zhao, et al.
Published: (2024)
by: Junjie Zhao, et al.
Published: (2024)
Benchmark-based Study of CPU/GPU Power-Related Features through JAX and TensorFlow
by: Tchakoute, Roblex Nana, et al.
Published: (2025)
by: Tchakoute, Roblex Nana, et al.
Published: (2025)
KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
by: Niemczynowicz, Agnieszka, et al.
Published: (2024)
by: Niemczynowicz, Agnieszka, et al.
Published: (2024)
From Code Smells to Best Practices: Tackling Resource Leaks in PyTorch, TensorFlow, and Keras
by: Abdallah, Bashar, et al.
Published: (2025)
by: Abdallah, Bashar, et al.
Published: (2025)
Performance comparison of medical image classification systems using TensorFlow Keras, PyTorch, and JAX
by: Bećirović, Merjem, et al.
Published: (2025)
by: Bećirović, Merjem, et al.
Published: (2025)
A Comparative Survey of PyTorch vs TensorFlow for Deep Learning: Usability, Performance, and Deployment Trade-offs
by: Alawi, Zakariya Ba
Published: (2025)
by: Alawi, Zakariya Ba
Published: (2025)
INFERÊNCIA DE MODELOS DE INTELIGÊNCIA ARTIFICIAL NA ROBOTICS LANGUAGE USANDO TensorFlow LITE MICRO PARA TinyML
by: Moraes, Luiz Eduardo Rezende, et al.
Published: (2025)
by: Moraes, Luiz Eduardo Rezende, et al.
Published: (2025)
Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers
by: Osborne, Cailean, et al.
Published: (2024)
by: Osborne, Cailean, et al.
Published: (2024)
THE POWER OF TOUCH: A STUDY OF TEXTURE AS A SENSORY BRANDING ELEMENT INFLUENCING CONSUMER PERCEPTIONS IN MUMBAI
by: Ms. Bhumika Chauhan, et al.
Published: (2026)
by: Ms. Bhumika Chauhan, et al.
Published: (2026)
A STUDY ON THE IMPACT OF NEUROMARKETING TECHNIQUES ON RETAIL PURCHASE DECISIONS AMONG CONSUMERS IN MUMBAI SUBURBS
by: Mr. Shubham Mahadik, et al.
Published: (2026)
by: Mr. Shubham Mahadik, et al.
Published: (2026)
Predictive Maintenance System
by: Ms. Bhakti Bharat Satam, Ms. Bhakti Dattatray Sawant, Ms. Sakshi Bharat Sawant, Ms. Parnavee Pravin Shirke, Ms. Nandini Sanjeevkumar Singh, Ms. S.S. Kadam
Published: (2026)
by: Ms. Bhakti Bharat Satam, Ms. Bhakti Dattatray Sawant, Ms. Sakshi Bharat Sawant, Ms. Parnavee Pravin Shirke, Ms. Nandini Sanjeevkumar Singh, Ms. S.S. Kadam
Published: (2026)
Similar Items
-
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
by: Lu, Weigang, et al.
Published: (2024) -
Supervised Learning Guarantee for Quantum AdaBoost
by: Wang, Yabo, et al.
Published: (2024) -
AdaBoost is not an Optimal Weak to Strong Learner
by: Høgsgaard, Mikael Møller, et al.
Published: (2023) -
PENEX: AdaBoost-Inspired Neural Network Regularization
by: Kladny, Klaus-Rudolf, et al.
Published: (2025) -
When Analytic Calculus Cracks AdaBoost Code
by: Brossier, Jean-Marc, et al.
Published: (2023)