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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2015 | 1 |
2016 | 1 |
2020 | 2 |
2021 | 1 |
2023 | 3 |
2024 | 0 |
Search Results
7 results
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Page 1
CO2 concentration forecasting in smart cities using a hybrid ARIMA-TFT model on multivariate time series IoT data.
Sci Rep. 2023 Oct 12;13(1):17266. doi: 10.1038/s41598-023-42346-0.
Sci Rep. 2023.
PMID: 37828094
Free PMC article.
Special Issue on Machine Learning and AI for Sensors.
Pintelas P, Kotsiantis S, Livieris IE.
Pintelas P, et al. Among authors: kotsiantis s.
Sensors (Basel). 2023 Mar 3;23(5):2770. doi: 10.3390/s23052770.
Sensors (Basel). 2023.
PMID: 36904974
Free PMC article.
Item in Clipboard
Investigating Deep Stock Market Forecasting with Sentiment Analysis.
Liapis CM, Karanikola A, Kotsiantis S.
Liapis CM, et al. Among authors: kotsiantis s.
Entropy (Basel). 2023 Jan 23;25(2):219. doi: 10.3390/e25020219.
Entropy (Basel). 2023.
PMID: 36832586
Free PMC article.
Item in Clipboard
A Multi-Method Survey on the Use of Sentiment Analysis in Multivariate Financial Time Series Forecasting.
Liapis CM, Karanikola A, Kotsiantis S.
Liapis CM, et al. Among authors: kotsiantis s.
Entropy (Basel). 2021 Nov 29;23(12):1603. doi: 10.3390/e23121603.
Entropy (Basel). 2021.
PMID: 34945909
Free PMC article.
Review.
Item in Clipboard
Explainable AI: A Review of Machine Learning Interpretability Methods.
Linardatos P, Papastefanopoulos V, Kotsiantis S.
Linardatos P, et al. Among authors: kotsiantis s.
Entropy (Basel). 2020 Dec 25;23(1):18. doi: 10.3390/e23010018.
Entropy (Basel). 2020.
PMID: 33375658
Free PMC article.
Review.
Item in Clipboard
Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction.
Pintelas E, Liaskos M, Livieris IE, Kotsiantis S, Pintelas P.
Pintelas E, et al. Among authors: kotsiantis s.
J Imaging. 2020 May 28;6(6):37. doi: 10.3390/jimaging6060037.
J Imaging. 2020.
PMID: 34460583
Free PMC article.
Item in Clipboard
Self-Trained LMT for Semisupervised Learning.
Fazakis N, Karlos S, Kotsiantis S, Sgarbas K.
Fazakis N, et al. Among authors: kotsiantis s.
Comput Intell Neurosci. 2016;2016:3057481. doi: 10.1155/2016/3057481. Epub 2015 Dec 29.
Comput Intell Neurosci. 2016.
PMID: 26839531
Free PMC article.
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