A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
SPHINX Decision Support Engine v1
2020
Zenodo
Preserved Fulltext
The goal is to promote decision-making based both on human and technological agents' intelligence. ...
This document, which is the first version of a set of two deliverables, entails information on both the SPHINX Decision Support System (DSS) and Analytic Engine (AE), in order to provide an overview of ...
before the attack occurrence Algorithms
Overall Accuracy
Micro F-score
Macro F-score
XGBoost
99%
99%
94%
Random Forest
92%
92%
70%
Decision Tree
91%
91%
70%
Table 7 7 The results ...
doi:10.5281/zenodo.4280567
fatcat:i3utedok7zaxtlxzxykoot6b44
Exploring the Power of Multimodal Features for Predicting the Popularity of Social Media Image in a Tourist Destination
2020
Multimodal Technologies and Interaction
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
content evolution, a lack of explicit visual elements, and people's informal behavior in liking, commenting on, and viewing the images. ...
Our approach provides a proof of concept for an artificial intelligence (AI)-based real-time content management system, which will help to promote a tourist destination. ...
Random Forest Regression Model Random forest [42] is an ensemble learning model that fits multiple regression trees on random samples of the input data and makes predictions by combining the predictions ...
doi:10.3390/mti4030064
fatcat:6wbmdnhhczbshk4l7vugyq25li
Special Issue on Applied Machine Learning
2022
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Machine learning (ML) is one of the most exciting fields of computing today [...] ...
Micro-blogs, such as Twitter, have become important tools to share opinions and information among users. ...
In [23] , for weekly prediction of heatrelated damages, a random forest model was developed using statistical, meteorological, and floating population data. ...
doi:10.3390/app12042039
fatcat:ulzgar3shfbmrprd2fpskws7oa
Cricket Match Analytics Using the Big Data Approach
2021
Electronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Cricket is one of the most liked, played, encouraged, and exciting sports in today's time that requires a proper advancement with machine learning and artificial intelligence (AI) to attain more accuracy ...
The experimental results are measured through accuracy, the root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE), respectively 95%, 30.2, 1350.34, and 28.2 after applying ...
Similarly, the Random Forest model was applied, which predicted 71% accuracy, but in the XGBoost learning model, an accuracy of 94.23% was seen. ...
doi:10.3390/electronics10192350
fatcat:x6pkcqvzzrdaxntmo5b54g26fy
Sentiment Analysis on Social Media for Albanian Language
2021
OALib
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The purpose of this paper is to test and review different approaches in Sentiment Analysis for messages in the Albanian language found on Twitter. ...
Additionally, we compare the results among different methods and note the challenges that arise while finally we suggest future directions for further research. ...
Many messages appear daily in micro-blogging media such as Facebook 4 we can save and potentially study. ...
doi:10.4236/oalib.1107514
fatcat:hkbt7ftxvnhtxapkelt75ulkdy
Deep Learning for Financial Applications : A Survey
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We not only categorized the works according to their intended subfield in finance but also analyzed them based on their DL models. ...
Finance is one particular area where DL models started getting traction, however, the playfield is wide open, a lot of research opportunities still exist. ...
Niimi [83] used UCI credit approval dataset 1 to compare DL, SVM, Logistic Regression (LR), Random Forest (RF), eXtreme Gradient Boosting (XGBoost) and provided information about credit fraud and credit ...
arXiv:2002.05786v1
fatcat:p4ykvxempzajpo66p2z6xaddp4
Artificial Intellgence – Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students. ...
The TriRhenaTech alliance presents the accepted papers of the 'Upper-Rhine Artificial Intelligence Symposium' held on October 27th 2021 in Kaiserslautern, Germany. ...
(Charité, Institute of Pathology) for helpful comments and acknowledge the financial support by the Federal Ministry of Education and Research of Germany (BMBF) in the project deep.HEALTH (13FH770IX6). ...
arXiv:2112.05657v1
fatcat:wdjgymicyrfybg5zth2dc2i3ni
A MapReduce Opinion Mining for COVID-19-Related Tweets Classification Using Enhanced ID3 Decision Tree Classifier
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
With the ever-spreading of online purchasing websites, micro-blogging sites, and social media platforms, OM in online social media platforms has picked the interest of thousands of scientific researchers ...
The obtained textual data (reviews, tweets, or blogs) are classified into three different class labels which are negative, neutral and positive for analyzing and extracting relevant information from the ...
(iv) Value: the rich data hidden in the generated tweets are a hot research area for scientific researchers in the Big Data and sentiment analysis field, and also a robust tool for organizations and governments ...
doi:10.1109/access.2021.3073215
fatcat:rk4qmvs4cjctblwnkrrq2bd32i
A MapReduce Opinion Mining for COVID-19-Related Tweets Classification Using Enhanced ID3 Decision Tree Classifier
2021
figshare.com
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
With the ever-spreading of online purchasing websites, micro-bloggingsites, and social media platforms, OM in online social media platforms has picked the interest of thousandsof scientific researchers ...
The obtained textual data (reviews,tweets, or blogs) are classified into three different class labels which are negative, neutral and positive foranalyzing and extracting relevant information from the ...
(iv) Value: the rich data hidden in the generated tweets are a hot research area for scientific researchers in the Big Data and sentiment analysis field, and also a robust tool for organizations and governments ...
doi:10.6084/m9.figshare.14460009.v1
fatcat:m7mitgapprhnnp3km67afbxh7a
Organic Computing
2021
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Acknowledgements The project Incident-aware Resilient Traffic Management for Urban Road Networks (InTURN) is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), TO-843/5-1. ...
Acknowledgements The authors would like to thank the German research foundation (Deutsche Forschungsgemeinschaft, DFG) for the financial support in the context of the "Organic Computing Techniques for ...
Then, a random forest classification model is learned for each forecasting method, which estimates whether the respective forecasting method could perform best considering the time series characteristics ...
doi:10.17170/kobra-202103173535
fatcat:wzlt3ciljzejfdg5ahfc7iwreq
Mapping (Dis-)Information Flow about the MH17 Plane Crash
2019
Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda
unpublished
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We are also thrilled to be able to bring an invited speaker, Elissa Redmiles from Princeton University and Microsoft Research, with a talk on measuring human perception to defend democracy, exploring a ...
Fourteen participants submitted a system description paper, which include models based on a wide range of learning models (e.g., neural networks, logistic regression) and representations (e.g., manually-engineered ...
The project is developed in collaboration between the Qatar Computing Research Institute (QCRI), HBKU and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). ...
doi:10.18653/v1/d19-5006
fatcat:77l3dndrkvfmlhjt6qvnrassgi