Machine Learning

Data set for various metal types

The dataset comprises of image file s of size 20 x 20 pixels for various types of metals and non-metal.The data collected has been augmented, scaled and modified to represent a number a training set dataset.It can be used to detect and identify object type based on material type in the image.In this process both training data set and test data set can be generated from these image files.

Categories:: Artificial Intelligence
Computer Vision
Image Processing
Machine Learning

1970 Views

last.fm decay ratings

This dataset is addressed to build time-aware music recommender systems when evolution of user preferences is considered. It was built by processing the data collected by Oscar Celma (https://www.upf.edu/web/mtg/lastfm360k) from last.fm. It consists of more than 80,000 songs listened to by 50 users over a 2-year period, creating a collection of more than 420,000 timestamped plays.

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Categories:: Machine Learning

235 Views

ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems

We introduce a new database of voice recordings with the goal of supporting research on vulnerabilities and protection of voice-controlled systems (VCSs). In contrast to prior efforts, the proposed database contains both genuine voice commands and replayed recordings of such commands, collected in realistic VCSs usage scenarios and using modern voice assistant development kits.

Categories:: Artificial Intelligence
Machine Learning
Reliability
Signal Processing
Discrete-time signal processing
Digital signal processing
Security

1793 Views

MQTT-IoT-IDS2020: MQTT Internet of Things Intrusion Detection Dataset

Message Queuing Telemetry Transport (MQTT) protocol is one of the most used standards used in Internet of Things (IoT) machine to machine communication. The increase in the number of available IoT devices and used protocols reinforce the need for new and robust Intrusion Detection Systems (IDS). However, building IoT IDS requires the availability of datasets to process, train and evaluate these models. The dataset presented in this paper is the first to simulate an MQTT-based network. The dataset is generated using a simulated MQTT network architecture.

Categories:: IoT
Machine Learning
Security

22544 Views

Breast Invasive Carcinoma

Invasive lobular carcinoma (ILC) is the second most prevalent histologic subtype of invasive breast cancer. Here, we comprehensively profiled 817 breast tumors, including 127 ILC, 490 ductal (IDC), and 88 mixed IDC/ILC. Besides E-cadherin loss, the best known ILC genetic hallmark, we identified mutations targeting PTEN, TBX3 and FOXA1 as ILC enriched features. PTEN loss associated with increased AKT phosphorylation, which was highest in ILC among all breast cancer subtypes. Spatially clustered FOXA1 mutations correlated with increased FOXA1 expression and activity.

Categories:: Artificial Intelligence
Machine Learning
Computational Intelligence
Biomedical and Health Sciences

620 Views

ChnSentiCorp

This dataset is a large-scale Chinese hotel review data set collected by Tan Songbo. The corpus size is 10,000 reviews. The corpus is automatically collected and organized from Trip.com.

Categories:: Artificial Intelligence
Machine Learning

1172 Views

A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10 bands (excluding the 15m panchromatic band).