Cross Validated
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Cross Validated
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Analyzing Large Biological Datasets with an Improved Algorithm for MIC
A computational framework utilizes the traditional similarity measures for mining the significant relationships in biological annotations is recently proposed by Tatiana V. Karpinets et al. [2]. In this paper, an improved approximation algorithm for...
YuLab-SMU/MicrobiotaProcess
:microbe: A comprehensive R package for deep mining microbiome (⭐ 191)
What career is the most exciting/adventurous/thrilling you’ve heard of?
28F, single, no kids, no debt. Travel lover. Ex military. Currently in the mining industry. Ready for my next adventure. Any ideas? (The more extreme the better ?) ...
Corruption and Wealth: Unveiling a national prosperity syndrome in Europe
Data mining revealed a cluster of economic, psychological, social and cultural indicators that in combination predicted corruption and wealth of European nations. This prosperity syndrome of self-reliant citizens, efficient division of labor, a sophi...
Cross Validated
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia
We present an approach based on multilingual sentence embeddings to automatically extract parallel sentences from the content of Wikipedia articles in 85 languages, including several dialects or low-resource languages. We do not limit the the extract...
Differentially Private Releasing via Deep Generative Model (Technical Report)
Privacy-preserving releasing of complex data (e.g., image, text, audio) represents a long-standing challenge for the data mining research community. Due to rich semantics of the data and lack of a priori knowledge about the analysis task, excessive s...
Constrained Role Mining
Role Based Access Control (RBAC) is a very popular access control model, for long time investigated and widely deployed in the security architecture of different enterprises. To implement RBAC, roles have to be firstly identified within the considere...
Distributed TensorFlow with MPI
Machine Learning and Data Mining (MLDM) algorithms are becoming increasingly important in analyzing large volume of data generated by simulations, experiments and mobile devices. With increasing data volume, distributed memory systems (such as tightl...
I’ve installed 1,000+ CCTV cameras. These are the 7 mistakes I see everywhere.
I’m not a big brand. I’m just the guy people call when their CCTV setup doesn’t work right. After installing and fixing 1,000+ cameras across homes, shops, diplomatic, mining, corporate as well ...
INEXA: Interactive and Explainable Process Model Abstraction Through Object-Centric Proces…
Process events are recorded by multiple information systems at different granularity levels. Based on the resulting event logs, process models are discovered at different granularity levels, as well. Events stored at a fine-grained granularity level,...
The history of Weir | Weir
In 2018, the Weir Group made its biggest acquisition to date when it bought ESCO for $1.3bn, affirming its status as one of the world’s leading mining technology businesses. Weir also sold its Oil & Gas …
Our Weir Brand Portfolio | Weir
We are proud of our innovative, market leading brands that provide trusted solutions to the mining, quarry and construction industries.
The Weir Group | Engineered Solutions For Industrial Markets | Weir
The Weir Group creates innovative engineering solutions for minerals and mining technology markets. Ask us about our wide range of products.
Build a binary classifier for biomedical documents (to curate or to discard)
Tags: python, nlp, spacy, text-mining, bert-language-model | Score: 0
naver/biobert-pretrained
BioBERT: a pre-trained biomedical language representation model for biomedical text mining (⭐ 706)
dmis-lab/biobert
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining (⭐ 2187)
A Comparative Study with Traditional and Transfer Learning-enhanced Machine Learning Algor…
The characterisation of materials is a prerequisite for evaluating and predicting the stability of mining waste dumps. Over the past three decades, the BHP Mitsubishi Alliance Coal framework has been a cornerstone in Australian coal mines for charact...