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06/13/2023
Causal Feature Engineering of Price Directions of Cryptocurrencies using Dynamic Bayesian Networks
Cryptocurrencies have gained popularity across various sectors, especial...
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03/26/2023
Modelling Determinants of Cryptocurrency Prices: A Bayesian Network Approach
The growth of market capitalisation and the number of altcoins (cryptocu...
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11/26/2022
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling
Constraint programming (CP) is an effective technique for solving constr...
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10/31/2022
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling
Transporting ore from mines to ports is of significant interest in minin...
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12/20/2020
A hybrid deep-learning approach for complex biochemical named entity recognition
Named entity recognition (NER) of chemicals and drugs is a critical doma...
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12/18/2020