Fetching the paper…
Reading the bibliography…
Recent advancements in multi-modal artificial intelligence (AI) have revolutionized the fields of stock market forecasting and heart rate monitoring.
D. A. Bennett, How can i deal with missing data in my study?, Australian and New Zealand journal of public health 25 (5) (2001) 464–469
2001
Earlier work this paper cites.
doi:10.1109/51.932724
G. Moody, R. Mark, The impact of the mit-bih arrhythmia database, IEEE Engineering in Medicine and Biology Magazine 20 (3) (2001) 45–50 · 2001
Earlier work this paper cites.
J. M. Engels, P. Diehr, Imputation of missing longitudinal data: a comparison of methods, Journal of clinical epidemiology 56 (10) (2003) 968–976
2003
Earlier work this paper cites.
A. R. T. Donders, G. J. Van Der Heijden, T. Stijnen, K. G. Moons, A gentle introduction to imputation of missing values, Journal of clinical epidemiology 59 (10) (2006) 1087–1091
2006
Earlier work this paper cites.
Q. Wang, R. K. Ward, A new orientation-adaptive interpolation method, IEEE transactions on image processing 16 (4) (2007) 889–900
2007
Earlier work this paper cites.
M. P. Schneider, M. Hilf, U. F. Vogt, M. W. Schmidt, The benzene polycarboxylic acid (bpca) pattern of wood pyrolyzed between 200 c and 1000 c, Organic Geochemistry 41 (10) (2010) 1082–1088
2010
Earlier work this paper cites.
H. Kang, The prevention and handling of the missing data, Korean journal of anesthesiology 64 (5) (2013) 402–406
2013
Earlier work this paper cites.
P. V. Arun, A comparative analysis of different dem interpolation methods, The Egyptian Journal of Remote Sensing and Space Science 16 (2) (2013) 133–139
2013
Earlier work this paper cites.
J. M. Lachin, Fallacies of last observation carried forward analyses, Clinical trials 13 (2) (2016) 161–168
2016
Cited alongside, same era.
H. Wang, S. Lu, J. Zhao, Aggregating multiple types of complex data in stock market prediction: A model-independent framework, Knowledge-Based Systems 164 (2019) 193–204
2019
Cited alongside, same era.
C. John, E. J. Ekpenyong, C. C. Nworu, Imputation of missing values in economic and financial time series data using five principal component analysis approaches, CBN Journal of Applied Statistics (JAS) 10 (1) (2019) 3
2019
Cited alongside, same era.
Y. Yu, X. Si, C. Hu, J. Zhang, A review of recurrent neural networks: Lstm cells and network architectures, Neural computation 31 (7) (2019) 1235–1270
2019
Cited alongside, same era.
doi:10.3390/s20082186
M. Jacob Rodrigues, O. Postolache, F. Cercas, Physiological and behavior monitoring systems for smart healthcare environments: A review , Sensors 20 (8) (2020) · 2020
D. C. Broadstock, R. Li, L. Wang, Integration reforms in the european natural gas market: A rolling-window spillover analysis, Energy Economics 92 (2020) 104939
2020
Later among the works it cites.
D. Bertsimas, L. Mingardi, B. Stellato, Machine learning for real-time heart disease prediction, IEEE Journal of Biomedical and Health Informatics 25 (9) (2021) 3627–3637
2021
Later among the works it cites.
H. Hozhabr Pour, F. Li, L. Wegmeth, C. Trense, R. Doniec, M. Grzegorzek, R. Wismüller, A machine learning framework for automated accident detection based on multimodal sensors in cars, Sensors 22 (10) (2022) 3634
2022
Later among the works it cites.
R. Kruse, S. Mostaghim, C. Borgelt, C. Braune, M. Steinbrecher, Multi-layer perceptrons, in: Computational intelligence: a methodological introduction, Springer, 2022, pp. 53–124
2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
A. Moghar, M. Hamiche, Stock market prediction using lstm recurrent neural network, Procedia Computer Science 170 (2020) 1168–1173
2020
Cited alongside, same era.
A. Agarwal, Sentiment analysis of financial news, in: 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN), IEEE, 2020, pp. 312–315
2020
Cited alongside, same era.
L. Hussain, I. A. Awan, W. Aziz, S. Saeed, A. Ali, F. Zeeshan, K. S. Kwak, et al., Detecting congestive heart failure by extracting multimodal features and employing machine learning techniques, BioMed research international 2020 (2020)
2020
Cited alongside, same era.
2022
Later among the works it cites.
N. Holtz, J. M. Gómez, Multimodal transformer for risk classification: Analyzing the impact of different data modalities , Natural Language Processing and Machine Learning (2023). URL https://api.semanticscholar.org/CorpusID:259255231
2023
Later among the works it cites.
A. Buche, M. B. Chandak, Enhancing predictive modeling for indian banking stock trends: A fusion of bert and attention-based bilstm approach , Journal of Intelligent & Fuzzy Systems (2023). URL https://api.semanticscholar.org/CorpusID:261654967
2023
Later among the works it cites.