Newton Howard
Newton Howard
Professor of Computational Neuroscience and Functional Neurosurgery, University of Oxford
Verified email at - Homepage
Cited by
Cited by
Fusing audio, visual and textual clues for sentiment analysis from multimodal content
S Poria, E Cambria, N Howard, GB Huang, A Hussain
Neurocomputing 174, 50-59, 2016
The use of photoplethysmography for assessing hypertension
M Elgendi, R Fletcher, Y Liang, N Howard, NH Lovell, D Abbott, K Lim, ...
NPJ digital medicine 2 (1), 60, 2019
Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study
A Amin, S Anwar, A Adnan, M Nawaz, N Howard, J Qadir, A Hawalah, ...
Ieee Access 4, 7940-7957, 2016
Enhanced SenticNet with affective labels for concept-based opinion mining
S Poria, A Gelbukh, A Hussain, N Howard, D Das, S Bandyopadhyay
IEEE Intelligent Systems 28 (2), 31-38, 2013
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis
S Poria, H Peng, A Hussain, N Howard, E Cambria
Neurocomputing 261, 217-230, 2017
Metaphor identification in large texts corpora
Y Neuman, D Assaf, Y Cohen, M Last, S Argamon, N Howard, O Frieder
PloS one 8 (4), e62343, 2013
Semantic multidimensional scaling for open-domain sentiment analysis
E Cambria, Y Song, H Wang, N Howard
IEEE intelligent systems 29 (2), 44-51, 2012
Common sense knowledge based personality recognition from text
S Poria, A Gelbukh, B Agarwal, E Cambria, N Howard
Advances in Soft Computing and Its Applications: 12th Mexican International …, 2013
Intention awareness: improving upon situation awareness in human-centric environments
N Howard, E Cambria
Human-centric Computing and Information Sciences 3, 1-17, 2013
Cuffless single-site photoplethysmography for blood pressure monitoring
M Hosanee, G Chan, K Welykholowa, R Cooper, PA Kyriacou, D Zheng, ...
Journal of clinical medicine 9 (3), 723, 2020
Can photoplethysmography replace arterial blood pressure in the assessment of blood pressure?
G Martínez, N Howard, D Abbott, K Lim, R Ward, M Elgendi
Journal of clinical medicine 7 (10), 316, 2018
Subliminal priming—state of the art and future perspectives
M Elgendi, P Kumar, S Barbic, N Howard, D Abbott, A Cichocki
Behavioral Sciences 8 (6), 54, 2018
Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics
E Cambria, N Howard, J Hsu, A Hussain
2013 IEEE symposium on computational intelligence for human-like …, 2013
Cognitive intelligence: Deep learning, thinking, and reasoning by brain-inspired systems
Y Wang, BC Widrow, LA Zadeh, N Howard, S Wood, VC Bhavsar, G Budin, ...
Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and …, 2020
The effectiveness of image augmentation in deep learning networks for detecting COVID-19: A geometric transformation perspective
M Elgendi, MU Nasir, Q Tang, D Smith, JP Grenier, C Batte, B Spieler, ...
Frontiers in Medicine 8, 629134, 2021
How effective is pulse arrival time for evaluating blood pressure? Challenges and recommendations from a study using the MIMIC database
Y Liang, D Abbott, N Howard, K Lim, R Ward, M Elgendi
Journal of clinical medicine 8 (3), 337, 2019
Automatic detection of acromegaly from facial photographs using machine learning methods
X Kong, S Gong, L Su, N Howard, Y Kong
EBioMedicine 27, 94-102, 2018
Dependency-based semantic parsing for concept-level text analysis
S Poria, B Agarwal, A Gelbukh, A Hussain, N Howard
Computational Linguistics and Intelligent Text Processing: 15th …, 2014
Detection of disease conditions and comorbidities
N Howard
US Patent 10,799,186, 2020
System, method, and applications of using the fundamental code unit and brain language
N Howard
US Patent 9,399,144, 2016
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