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Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Marina de la Cruz, César Luis Alonso and Tony Ribeiro
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) explanations of systems built on machin...
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Fernando Martínez-Plumed
Pág. 24 - 27
The stupefying success of Articial Intelligence (AI) for specic problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of (dierent) problems. This dissertatio...
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Hameed AlQaheri and Mrutyunjaya Panda
This paper focuses on the study of automated process discovery using the Inductive visual Miner (IvM) and Directly Follows visual Miner (DFvM) algorithms to produce a valid process model for educational process mining in order to understand and predict t...
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Tianhao Cai, Feng Lyu, Tianzhi Wang and Fushi Huang
Conventional cabled seafloor observatories (CSOs) power in-situ instruments via wet-mated or dry-mated direct electrical contact (DEC) connectors to achieve long-term and real-time observation. However, the DEC connectors have high risks of water leakage...
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James Ellis, David John Edwards, Wellington Didibhuku Thwala, Obuks Ejohwomu, Ernest Effah Ameyaw and Mark Shelbourn
This research explores the failure of competitively tendered projects in the UK construction industry to procure the most suited contractor(s) to conduct the works. Such work may have equal relevance for other developed nations globally. This research se...
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