Image de couverture de livre

LakeMLB: Data Lake Machine Learning Benchmark

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pan, Feiyu, Zhang, Tianbin, Zhang, Aoqian, Sun, Yu, Wang, Zheng, Chen, Lixing, Pan, Li, Li, Jianhua
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence H.2.8; I.2.6; I.5.1
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection
par: Wang, Dezheng, et autres
Publié: (2026)

Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification
par: Rottenwalter, Georg, et autres
Publié: (2025)

Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
par: Priezzhev, I. I., et autres
Publié: (2025)

Advancements in synthetic data extraction for industrial injection molding
par: Rottenwalter, Georg, et autres
Publié: (2025)

Predicting Future Actions of Reinforcement Learning Agents
par: Chung, Stephen, et autres
Publié: (2024)

DGTEN: A Robust Deep Gaussian based Graph Neural Network for Dynamic Trust Evaluation with Uncertainty-Quantification Support
par: Usman, Muhammad, et autres
Publié: (2025)

The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
par: Karn, Isha, et autres
Publié: (2025)

Adaptive Negative Scheduling for Graph Contrastive Learning
par: Ali, Adnan, et autres
Publié: (2026)

RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms
par: Roque, Luis, et autres
Publié: (2024)

Benchmarking the Discovery Engine
par: Foxabbott, Jack, et autres
Publié: (2025)

Product Design Using Generative Adversarial Network: Incorporating Consumer Preference and External Data
par: Li, Hui, et autres
Publié: (2024)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
par: Yousaf, Iqra
Publié: (2024)

Analyzing the Impact of Release Season and Production Budget on Movie Revenue and Profitability
par: Torkamani, Mohammad Jalili, et autres
Publié: (2026)

Prior-Aligned Data Cleaning for Tabular Foundation Models
par: Berti-Equille, Laure
Publié: (2026)

ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
par: Poorna, Rajas, et autres
Publié: (2026)

Thinker: Learning to Think Fast and Slow
par: Chung, Stephen, et autres
Publié: (2025)

CellARC: Measuring Intelligence with Cellular Automata
par: Lžičař, Miroslav
Publié: (2025)

Spiking Neural Network Architecture Search: A Survey
par: Svoboda, Kama, et autres
Publié: (2025)

Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
par: Zolduoarrati, Elijah, et autres
Publié: (2025)

Evading Overlapping Community Detection via Proxy Node Injection
par: Loi, Dario, et autres
Publié: (2025)

Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
par: Du, Wenzhang
Publié: (2025)

FDQN: A Flexible Deep Q-Network Framework for Game Automation
par: Gujavarthy, Prabhath Reddy
Publié: (2024)

Soft Actor-Critic with Beta Policy via Implicit Reparameterization Gradients
par: Della Libera, Luca
Publié: (2024)

The CRITICAL Records Integrated Standardization Pipeline (CRISP): End-to-End Processing of Large-scale Multi-institutional OMOP CDM Data
par: Luo, Xiaolong, et autres
Publié: (2025)

Are We Winning the Wrong Game? Revisiting Evaluation Practices for Long-Term Time Series Forecasting
par: Phungtua-eng, Thanapol, et autres
Publié: (2026)

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection
par: Lin, Xiaojian, et autres
Publié: (2025)

Survey Transfer Learning: Recycling Data with Silicon Responses
par: Amini, Ali
Publié: (2025)

On Divergence Measures for Training GFlowNets
par: da Silva, Tiago, et autres
Publié: (2024)

PRACH Preamble Detection as a Multi-Class Classification Problem: A Machine Learning Approach Using SVM
par: Ferenc, F., et autres
Publié: (2025)

AgentLTV: An Agent-Based Unified Search-and-Evolution Framework for Automated Lifetime Value Prediction
par: Wu, Chaowei, et autres
Publié: (2026)

Dynamics of COVID-19 Misinformation: An Analysis of Conspiracy Theories, Fake Remedies, and False Reports
par: Thakur, Nirmalya, et autres
Publié: (2025)

ALIGNS: Unlocking nomological networks in psychological measurement through a large language model
par: Larsen, Kai R., et autres
Publié: (2025)

Augmented Assembly: Object Recognition and Hand Tracking for Adaptive Assembly Instructions in Augmented Reality
par: Kyaw, Alexander Htet, et autres
Publié: (2025)

Foundational Requirements for Artificial General Intelligence: A Falsifiable Framework Based on Signal Prediction
par: Šprogar, Matej
Publié: (2025)

Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
par: Lee, Jongha, et autres
Publié: (2025)

COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection
par: Park, Jinwoo, et autres
Publié: (2026)

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
par: Li, Yifei, et autres
Publié: (2025)

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation
par: Koc, Vincent
Publié: (2025)

Systematic Classification of Studies Investigating Social Media Conversations about Long COVID Using a Novel Zero-Shot Transformer Framework
par: Thakur, Nirmalya, et autres
Publié: (2025)

Predicting and improving test-time scaling laws via reward tail-guided search
par: Li, Muheng, et autres
Publié: (2026)