Detecting explosives by PGNAA using KNN Regressors and decision tree classifier: A proof of concept
Radiation based techniques such as PGNAA provided a good alternative to conventional
explosives detection methods due to the simplicity and efficiency of the quantitative isotopic …
explosives detection methods due to the simplicity and efficiency of the quantitative isotopic …
Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering
Nowadays, the crime rate increases dramatically in every country. Therefore, it is an urgent
need for governments and social associations to produce persistent solutions and …
need for governments and social associations to produce persistent solutions and …
Feature selection methods for event detection in Twitter: a text mining approach
Selecting keywords from Twitter as features to identify events is challenging due to language
informality such as acronyms, misspelled words, synonyms, transliteration and ambiguous …
informality such as acronyms, misspelled words, synonyms, transliteration and ambiguous …
Event detection in Twitter: A keyword volume approach
AH Hossny, L Mitchell - 2018 IEEE international conference on …, 2018 - ieeexplore.ieee.org
Event detection using social media streams needs a set of informative features with strong
signals that need minimal preprocessing and are highly associated with events of interest …
signals that need minimal preprocessing and are highly associated with events of interest …
IIITT at CASE 2021 task 1: Leveraging pretrained language models for multilingual protest detection
In a world abounding in constant protests resulting from events like a global pandemic,
climate change, religious or political conflicts, there has always been a need to detect …
climate change, religious or political conflicts, there has always been a need to detect …
Multiplex network inference with sparse tensor decomposition for functional connectivity
Functional connectivity (FC) is a graph-like data structure commonly used by neuroscientists
to study the dynamic behaviour of brain activity. However, these analyses rapidly become …
to study the dynamic behaviour of brain activity. However, these analyses rapidly become …
DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies
PW Chan - arXiv preprint arXiv:2203.08144, 2022 - arxiv.org
Extreme pricing anomalies may occur unexpectedly without a trivial cause, and equity
traders typically experience a meticulous process to source disparate information and …
traders typically experience a meticulous process to source disparate information and …
Verifying baselines for crisis event information classification on twitter
J Crow - 2020 - sussex.figshare.com
Social media are rich information sources during and in the aftermath of crisis events such
as earthquakes and terrorist attacks. Despite myriad challenges, with the right tools …
as earthquakes and terrorist attacks. Despite myriad challenges, with the right tools …
Détection et interprétation des signaux faibles dans les Réseaux Sociaux Numériques
H Abou Jamra - 2023 - theses.hal.science
Les Réseaux Sociaux Numériques sont devenus des outils importants en raison de leur
capacité à transmettre l'information plus rapidement que les médias traditionnels, dans …
capacité à transmettre l'information plus rapidement que les médias traditionnels, dans …
Sparse tensor dimensionality reduction with application to clustering of functional connectivity
Functional connectivity (FC) is a graph-like data structure commonly used by neuroscientists
to study the dynamic behaviour of the brain activity. However, these analyses rapidly …
to study the dynamic behaviour of the brain activity. However, these analyses rapidly …