Predictive Analysis of CFPB Consumer Complaints Using Machine Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Vaishnav, Dhwani, Neethinayagam, Manimozhi, Khaire, Akanksha, Woo, Jongwook |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Cyberattack Data Analysis in IoT Environments using Big Data
por: Patidar, Neelam, et al.
Publicado: (2024)
por: Patidar, Neelam, et al.
Publicado: (2024)
FedCDC: A Collaborative Framework for Data Consumers in Federated Learning Market
por: Shi, Zhuan, et al.
Publicado: (2025)
por: Shi, Zhuan, et al.
Publicado: (2025)
A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis
por: Trieu, Quoc Lap, et al.
Publicado: (2026)
por: Trieu, Quoc Lap, et al.
Publicado: (2026)
Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
por: Liu, Chen, et al.
Publicado: (2025)
por: Liu, Chen, et al.
Publicado: (2025)
Metric Criticality Identification for Cloud Microservices
por: Singal, Akanksha, et al.
Publicado: (2025)
por: Singal, Akanksha, et al.
Publicado: (2025)
Channel Prediction under Network Distribution Shift Using Continual Learning-based Loss Regularization
por: Mohsin, Muhammad Ahmed, et al.
Publicado: (2025)
por: Mohsin, Muhammad Ahmed, et al.
Publicado: (2025)
Building State Machine Replication Using Practical Network Synchrony
por: Wan, Yiliang, et al.
Publicado: (2025)
por: Wan, Yiliang, et al.
Publicado: (2025)
Multi-Objective Optimization of Consumer Group Autoscaling in Message Broker Systems
por: Landau, Diogo, et al.
Publicado: (2024)
por: Landau, Diogo, et al.
Publicado: (2024)
A Privacy-Preserving Ecosystem for Developing Machine Learning Algorithms Using Patient Data: Insights from the TUM.ai Makeathon
por: Süwer, Simon, et al.
Publicado: (2025)
por: Süwer, Simon, et al.
Publicado: (2025)
SODA: Protecting Proprietary Information in On-Device Machine Learning Models
por: Atrey, Akanksha, et al.
Publicado: (2023)
por: Atrey, Akanksha, et al.
Publicado: (2023)
Optimizing the Variant Calling Pipeline Execution on Human Genomes Using GPU-Enabled Machines
por: Kumar, Ajay, et al.
Publicado: (2025)
por: Kumar, Ajay, et al.
Publicado: (2025)
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe
por: Rae, Christopher, et al.
Publicado: (2024)
por: Rae, Christopher, et al.
Publicado: (2024)
Propius: A Platform for Collaborative Machine Learning across the Edge and the Cloud
por: Ding, Eric
Publicado: (2025)
por: Ding, Eric
Publicado: (2025)
Rethinking Knowledge Distillation in Collaborative Machine Learning: Memory, Knowledge, and Their Interactions
por: Han, Pengchao, et al.
Publicado: (2025)
por: Han, Pengchao, et al.
Publicado: (2025)
AgentServe: Algorithm-System Co-Design for Efficient Agentic AI Serving on a Consumer-Grade GPU
por: Zhang, Yuning, et al.
Publicado: (2026)
por: Zhang, Yuning, et al.
Publicado: (2026)
Generative Federated Learning for Smart Prediction and Recommendation Applications
por: Mukherjee, Anwesha, et al.
Publicado: (2025)
por: Mukherjee, Anwesha, et al.
Publicado: (2025)
Approximated Coded Computing: Towards Fast, Private and Secure Distributed Machine Learning
por: Qiu, Houming, et al.
Publicado: (2024)
por: Qiu, Houming, et al.
Publicado: (2024)
NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
por: Wang, Yisu, et al.
Publicado: (2025)
por: Wang, Yisu, et al.
Publicado: (2025)
JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials
por: Wang, Hongyu, et al.
Publicado: (2026)
por: Wang, Hongyu, et al.
Publicado: (2026)
LoHan: Low-Cost High-Performance Framework to Fine-Tune 100B Model on a Consumer GPU
por: Liao, Changyue, et al.
Publicado: (2024)
por: Liao, Changyue, et al.
Publicado: (2024)
EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution
por: Bourgeois, Daniel, et al.
Publicado: (2024)
por: Bourgeois, Daniel, et al.
Publicado: (2024)
Reducing the Impact of I/O Contention in Numerical Weather Prediction Workflows at Scale Using DAOS
por: Manubens, Nicolau, et al.
Publicado: (2024)
por: Manubens, Nicolau, et al.
Publicado: (2024)
Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction
por: Wang, Xiaoye, et al.
Publicado: (2024)
por: Wang, Xiaoye, et al.
Publicado: (2024)
COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems
por: Raju, Aditi, et al.
Publicado: (2025)
por: Raju, Aditi, et al.
Publicado: (2025)
Federated Learning Using Coupled Tensor Train Decomposition
por: Zhang, Xiangtao, et al.
Publicado: (2024)
por: Zhang, Xiangtao, et al.
Publicado: (2024)
Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction
por: Zhang, Chuanting, et al.
Publicado: (2025)
por: Zhang, Chuanting, et al.
Publicado: (2025)
NineToothed: A Triton-Based High-Level Domain-Specific Language for Machine Learning
por: Huang, Jiacheng, et al.
Publicado: (2025)
por: Huang, Jiacheng, et al.
Publicado: (2025)
Distributed Hierarchical Machine Learning for Joint Resource Allocation and Slice Selection in In-Network Edge Systems
por: Rashid, Sulaiman Muhammad, et al.
Publicado: (2025)
por: Rashid, Sulaiman Muhammad, et al.
Publicado: (2025)
Ksurf: Attention Kalman Filter and Principal Component Analysis for Prediction under Highly Variable Cloud Workloads
por: Dang'ana, Michael, et al.
Publicado: (2024)
por: Dang'ana, Michael, et al.
Publicado: (2024)
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
por: Saba, Issa, et al.
Publicado: (2024)
por: Saba, Issa, et al.
Publicado: (2024)
Machine Learning for Consistency Violation Faults Analysis
por: Giri, Kamal, et al.
Publicado: (2025)
por: Giri, Kamal, et al.
Publicado: (2025)
Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity
por: Han, Xuefeng, et al.
Publicado: (2025)
por: Han, Xuefeng, et al.
Publicado: (2025)
An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
por: Mia, Md Jueal, et al.
Publicado: (2025)
por: Mia, Md Jueal, et al.
Publicado: (2025)
Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel
por: Song, Jaeyoung, et al.
Publicado: (2024)
por: Song, Jaeyoung, et al.
Publicado: (2024)
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
por: Feng, Chao, et al.
Publicado: (2024)
por: Feng, Chao, et al.
Publicado: (2024)
OptimES: Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks
por: Naman, Pranjal, et al.
Publicado: (2025)
por: Naman, Pranjal, et al.
Publicado: (2025)
Towards Designing an Energy Aware Data Replication Strategy for Cloud Systems Using Reinforcement Learning
por: Najjar, Amir, et al.
Publicado: (2025)
por: Najjar, Amir, et al.
Publicado: (2025)
Linearizability and State-Machine Replication: Is it a match?
por: Hauck, Franz J., et al.
Publicado: (2024)
por: Hauck, Franz J., et al.
Publicado: (2024)
The Cost of Garbage Collection for State Machine Replication
por: Liang, Zhiying, et al.
Publicado: (2024)
por: Liang, Zhiying, et al.
Publicado: (2024)
A Lightweight Approach for State Machine Replication
por: Cachin, Christian, et al.
Publicado: (2025)
por: Cachin, Christian, et al.
Publicado: (2025)
Ejemplares similares
-
Cyberattack Data Analysis in IoT Environments using Big Data
por: Patidar, Neelam, et al.
Publicado: (2024) -
FedCDC: A Collaborative Framework for Data Consumers in Federated Learning Market
por: Shi, Zhuan, et al.
Publicado: (2025) -
A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis
por: Trieu, Quoc Lap, et al.
Publicado: (2026) -
Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
por: Liu, Chen, et al.
Publicado: (2025) -
Metric Criticality Identification for Cloud Microservices
por: Singal, Akanksha, et al.
Publicado: (2025)