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A data mining approach for classification of orthostatic and essential tremor based on MRI‐derived brain volume and cortical thickness
(John Wiley & Sons Ltd., 2019-11-26)[Abstract] Objective - Orthostatic tremor (OT) is an extremely rare, misdiagnosed, and underdiagnosed disorder affecting adults in midlife. There is debate as to whether it is a different condition or a variant of essential ... -
Improved Compressed String Dictionaries
(ACM, 2019-11-03)[Abstract] We introduce a new family of compressed data structures to efficiently store and query large string dictionaries in main memory. Our main technique is a combination of hierarchical Front-coding with ideas from ... -
Conjugation of different immunogenic enterococcal vaccine target antigens leads to extended strain coverage
(Oxford University Press, 2019-07-09)[Abstract] Enterococci have emerged as important nosocomial pathogens due to their resistance to the most commonly used antibiotics. Alternative treatments or prevention options are aimed at polysaccharides and surface-related ... -
Perceptual Generalization and Context in a Network MemoryInspired Long-Term Memory for Artificial Cognition
(World Scientific Publishing Company, 2019)Abstract: In the framework of open-ended learning cognitive architectures for robots, this paper deals with thedesign of a Long-Term Memory (LTM) structure that can accommodate the progressive acquisition ofexperience-based ... -
Studying How Innate Motivations Can Drive Skill Acquisition in Cognitive Robots
(MDPI, 2019)Abstract: In this paper, we address the problem of how to bootstrap a cognitive architecture to opportunistically start learning skills in domains where multiple skills can be learned at the same time. To this end, taking ...