448 datasets found

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...

The dataset used in this paper for inline DGA detection using side information features that are easily obtained from DNS query and response.

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,...

Chemical datasets have many physical and statistical properties that prove problematic for machine learning approaches and special care must be taken to manage them.

The dataset used in the paper is a synthetic dataset and three real-world inference tasks.

The dataset used in this paper is a collection of retention time measurements of anti-sense oligonucleotide.

The MNIST and CIFAR datasets are used to test the robustness of neural networks against sparse attacks.

Compositional Zero-Shot Learning (CZSL) aims to predict unknown compositions made up of attribute and object pairs.

The dataset used in the paper is a collection of 156 benchmark datasets for machine learning model evaluation.

The dataset contains 4.8 million lines of C# code from 27 projects.

The SMARTPASTE task is a challenge for machine learning modeling of source code, that requires to learn (some) semantics of programs.

The dataset used in the paper is a set of feature-vectors from two sets of d-dimensional noisy feature-vectors.

The dataset used in this paper is a large-scale machine learning dataset.

The dataset used in the paper is a reinforcement learning-based approach for automated quantum adiabatic algorithm design. The dataset consists of Grover search and 3-SAT problems.

Two large-scale benchmark datasets for reference-limited compositional zero-shot learning (RL-CZSL).

The dataset used in the paper is a publicly available dataset from Kaggle, used for demonstrating the effectiveness of the Lai loss function.

The dataset is not explicitly described in the paper, but it is mentioned that it is used to test the proposed notion of effective dimension.

The dataset used in this paper is the Abalone dataset, which is a multivariate dataset containing information about abalone, a type of sea creature.

Machine learning and deep learning methods for cybersecurity

ECG-based authentication system using regression as a machine learning technique