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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... -
Capture Agent Free Biosensing using Porous Silicon Arrays and Machine Learning
A versatile, capture agent free biosensor platform based on an array of porous silicon (PSi) thin films, which has the potential to robustly detect a wide variety of analytes... -
DGA Detection Dataset
The dataset used in this paper for inline DGA detection using side information features that are easily obtained from DNS query and response. -
HouseExpo dataset
The HouseExpo dataset is a large-scale 2D indoor layout dataset for learning-based algorithms. It contains 5,000 images as training data, 200 images as model validation data,... -
libmolgrid: GPU Accelerated Molecular Gridding
Chemical datasets have many physical and statistical properties that prove problematic for machine learning approaches and special care must be taken to manage them. -
Adaptive Gaussian Copula ABC
The dataset used in the paper is a synthetic dataset and three real-world inference tasks. -
ASO chromatography data
The dataset used in this paper is a collection of retention time measurements of anti-sense oligonucleotide. -
Efficient and Robust Classification for Sparse Attacks
The MNIST and CIFAR datasets are used to test the robustness of neural networks against sparse attacks.
