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~person:"Ghosh, Indranil"
~person:"Joseph, Andreas"
~subject:"Lernen"
~subject:"Prognoseverfahren"
~type_genre:"Article in journal"
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Search: subject_exact:"KI (Künstliche Intelligenz)"
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Lernen
Prognoseverfahren
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10
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6
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3
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Ghosh, Indranil
Joseph, Andreas
Gkonkas, Periklēs
10
Papadimitriou, Theophilos
9
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5
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5
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5
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4
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Technological forecasting & social change : an international journal
2
International review of financial analysis
1
Journal of international economics
1
The IUP journal of applied finance : IJAF
1
The IUP journal of financial risk management : IJFRM
1
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ECONIS (ZBW)
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1
A granular machine learning framework for forecasting high-frequency financial market variables during the recent black swan event
Ghosh, Indranil
;
Jana, Rabin K.
- In:
Technological forecasting & social change : an …
194
(
2023
),
pp. 1-17
Persistent link: https://www.econbiz.de/10014475527
Saved in:
2
Prediction and interpretation of daily NFT and DeFi prices dynamics : inspection through ensemble machine learning & XAI
Ghosh, Indranil
;
Alfaro-Cortés, Esteban
;
Gámez, Matías
; …
- In:
International review of financial analysis
87
(
2023
),
pp. 1-21
Persistent link: https://www.econbiz.de/10014456330
Saved in:
3
Credit growth, the yield curve and financial crisis prediction : evidence from a machine learning approach
Bluwstein, Kristina
;
Buckmann, Marcus
;
Joseph, Andreas
; …
- In:
Journal of international economics
145
(
2023
),
pp. 1-37
Persistent link: https://www.econbiz.de/10014480111
Saved in:
4
A hybrid approach to forecasting futures prices with simultaneous consideration of optimality in ensemble feature selection and advanced artificial intelligence
Ghosh, Indranil
;
Chaudhuri, Tamal D.
;
Alfaro-Cortés, …
- In:
Technological forecasting & social change : an …
181
(
2022
),
pp. 1-21
Persistent link: https://www.econbiz.de/10013417269
Saved in:
5
Application of machine learning tools in predictive modeling of pairs trade in Indian stock market
Chandhuri, Tamal Datta
;
Ghosh, Indranil
;
Singh, Priyam
- In:
The IUP journal of applied finance : IJAF
23
(
2017
)
1
,
pp. 5-25
Persistent link: https://www.econbiz.de/10011635751
Saved in:
6
Application of unsupervised feature selection, machine learning and evolutionary algorithm in predicting stock returns : a study of Indian firms
Chaudhuri, Tamal D.
;
Ghosh, Indranil
;
Eram, Shahira
- In:
The IUP journal of financial risk management : IJFRM
13
(
2016
)
3
,
pp. 22-46
Persistent link: https://www.econbiz.de/10011634896
Saved in:
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