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Synthetic Binary Dataset
A synthetic binary dataset of desired characteristics, comprising 3000 instances with 20 features. -
Bounds for Approximate Regret-Matching Algorithms
The dataset used in the paper is a large imperfect-information game, and the authors used it to test their approximate regret-matching algorithm. -
Multi-Mice PartsTrack dataset
The Multi-Mice PartsTrack dataset is a challenging dataset for multi-mice part tracking in videos. It contains 10 videos of two or three mice interacting freely in a home cage... -
Multiple Penalized Principal Curves: Analysis and Computation
The dataset is used to test the proposed approach for finding one-dimensional structures in data. -
Multi-spin system
The dataset used in the paper is a multi-spin system that performs classification tasks. -
ExpertMatcher dataset
The dataset used for the ExpertMatcher framework, which includes six datasets: STL-10, MNIST, HAR, Reuters, Non Line of Sight, and Diabetic Retinopathy. -
Deep polynomial regression
Polynomial regression problem with naturally strong outliers. In such a setting a polynomial motion model for a moving scene is interpreted as the dominant scene motion stemming... -
Smart card dataset of bus ridership
Three-month smart card dataset of bus ridership, containing over 10 million observations allied with detailed weather measurements, trip length, calendar events, and built... -
Support Vector Machine on MNIST
Support Vector Machine on MNIST -
Structured Convolutional Kernel Networks for Airline Crew Scheduling
The Struct-CKN predictor is used to construct initial clusters and an initial solution for the Crew Pairing Problem (CPP) solver. -
STAMP 4 NLP
STAMP 4 NLP is an instantiable, iterative, and incremental process model for developing natural language processing applications with a focus on quality, business value, and... -
Home Lending Dataset
Home Lending Dataset used for credit default prediction -
Homelending Dataset
Home lending dataset used for credit default prediction -
Gaussian dataset
The dataset used in the paper is a Gaussian distribution with m observations and d-dimensional parameter. -
Cancer2 benchmark
The Cancer2 benchmark is a dataset used to evaluate the performance of Bayesian network structure learning algorithms. -
5G Narrowband Jammer Detection
Experimental 5G network dataset for jamming attack detection -
Authentication of Copy Detection Patterns under Machine Learning Attacks: A S...
Copy detection patterns (CDP) are an attractive technology that allows manufacturers to defend their products against counterfeiting. The main assumption behind the protection... -
EMG and IMU signals for lower-limb kinematics prediction
The dataset used in this paper is a collection of EMG and IMU signals from 10 healthy subjects performing level walking. The dataset is used to evaluate the performance of...
