research
∙
08/16/2023
Evaluating IP Blacklists Effectiveness
IP blacklists are widely used to increase network security by preventing...
share
research
∙
05/25/2023
Extracting Text Representations for Terms and Phrases in Technical Domains
Extracting dense representations for terms and phrases is a task of grea...
research
∙
10/24/2022
Unsupervised Term Extraction for Highly Technical Domains
Term extraction is an information extraction task at the root of knowled...
research
∙
02/09/2022
pNLP-Mixer: an Efficient all-MLP Architecture for Language
Large pre-trained language models drastically changed the natural langua...
research
∙
03/12/2021
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks
The transition away from carbon-based energy sources poses several chall...
research
∙
03/24/2020
Scalable Deployment of AI Time-series Models for IoT
IBM Research Castor, a cloud-native system for managing and deploying la...
research
∙
11/20/2018
Castor: Contextual IoT Time Series Data and Model Management at Scale
We demonstrate Castor, a cloud-based system for contextual IoT time seri...
research
∙
11/18/2018
Probabilistic Graphs for Sensor Data-driven Modelling of Power Systems at Scale
The growing complexity of the power grid, driven by increasing share of ...
research
∙
02/10/2018
Learning Correlation Space for Time Series
We propose an approximation algorithm for efficient correlation search i...
research
∙
05/24/2017
