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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 7151–7200 of 10033 papers

TitleStatusHype
Markov model with machine learning integration for fraud detection in health insurance—0
MARVIN: An Open Machine Learning Corpus and Environment for Automated Machine Learning Primitive Annotation and Execution—0
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection—0
Massive MIMO Channel Measurements and Achievable Rates in a Residential Area—0
Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning—0
Personalization of Deep Learning—0
Mathematical Perspective of Machine Learning—0
Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms—0
Matrix Factorization via Deep Learning—0
Matrix Sketching for Secure Collaborative Machine Learning—0
Maximin affinity learning of image segmentation—0
Maximizing information from chemical engineering data sets: Applications to machine learning—0
Maximizing Non-Monotone DR-Submodular Functions with Cardinality Constraints—0
MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry—0
MCPA: Program Analysis as Machine Learning—0
MDEA: Malware Detection with Evolutionary Adversarial Learning—0
MDL-motivated compression of GLM ensembles increases interpretability and retains predictive power—0
MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis—0
Mean-field methods and algorithmic perspectives for high-dimensional machine learning—0
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns—0
Meaningful Models: Utilizing Conceptual Structure to Improve Machine Learning Interpretability—0
Measure Contribution of Participants in Federated Learning—0
Measures of distortion for machine learning—0
Measure Transformer Semantics for Bayesian Machine Learning—0
Measure Utility, Gain Trust: Practical Advice for XAI Researcher—0
Measuring and modeling the motor system with machine learning—0
Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors—0
Measuring Pain in Sickle Cell Disease using Clinical Text—0
Measuring Social Biases of Crowd Workers using Counterfactual Queries—0
Measuring the Completeness of Theories—0
Measuring the originality of intellectual property assets based on machine learning outputs—0
Measuring the Quality of Exercises—0
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification—0
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach—0
Medical Diagnosis with a Novel SVM-CoDOA Based Hybrid Approach—0
Medical Image Analysis using Convolutional Neural Networks: A Review—0
Medical Imaging and Machine Learning—0
Medical Imaging with Deep Learning: MIDL 2019 -- Extended Abstract Track—0
Medical Imaging with Deep Learning: MIDL 2020 -- Short Paper Track—0
Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis—0
MegazordNet: combining statistical and machine learning standpoints for time series forecasting—0
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models—0
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning—0
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning—0
Memory Classifiers: Two-stage Classification for Robustness in Machine Learning—0
Memory-efficient training with streaming dimensionality reduction—0
Memory visualization tool for training neural network—0
Memristor models for machine learning—0
Transient-evoked otoacoustic emission signals predicting outcomes of acute sensorineural hearing loss in patients with Meniere's Disease—0
Mental Models of Adversarial Machine Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified