Ifeoma Nwogu
Ifeoma Nwogu
Computer Science and Engineering, University at Buffalo, SUNY
Zweryfikowany adres z buffalo.edu
Cytowane przez
Cytowane przez
Reported use of technology in stroke rehabilitation by physical and occupational therapists
J Langan, H Subryan, I Nwogu, L Cavuoto
Disability and Rehabilitation: Assistive Technology 13 (7), 641-647, 2018
Malware detection via API calls, topic models and machine learning
GG Sundarkumar, V Ravi, I Nwogu, V Govindaraju
2015 IEEE International Conference on Automation Science and Engineering …, 2015
Language-motivated approaches to action recognition
MR Malgireddy, I Nwogu, V Govindaraju
The Journal of Machine Learning Research 14 (1), 2189-2212, 2013
Lie to me: Deceit detection via online behavioral learning
N Bhaskaran, I Nwogu, MG Frank, V Govindaraju
2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011
Is joint training better for deep auto-encoders?
Y Zhou, D Arpit, I Nwogu, V Govindaraju
arXiv preprint arXiv:1405.1380, 2014
Automated analysis of line plots in documents
RR Nair, N Sankaran, I Nwogu, V Govindaraju
2015 13th international conference on document analysis and recognition …, 2015
Cognitive-biometric recognition from language usage: A feasibility study
N Pokhriyal, K Tayal, I Nwogu, V Govindaraju
IEEE Transactions on Information Forensics and Security 12 (1), 134-143, 2016
Analyzing skin lesions in dermoscopy images using convolutional neural networks
V Singh, I Nwogu
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
Deep learning methods for sign language translation
T Ananthanarayana, P Srivastava, A Chintha, A Santha, B Landy, ...
ACM Transactions on Accessible Computing (TACCESS) 14 (4), 1-30, 2021
Enhancing human face recognition with an interpretable neural network
T Zee, G Gali, I Nwogu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Wlv-rit at hasoc-dravidian-codemix-fire2020: Offensive language identification in code-switched youtube comments
T Ranasinghe, S Gupte, M Zampieri, I Nwogu
arXiv preprint arXiv:2011.00559, 2020
Towards an affective video recommendation system
Y Diaz, CO Alm, I Nwogu, R Bailey
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
2: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies
I Nwogu, JJ Corso
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Pde-based enhancement of low quality documents
I Nwogu, Z Shi, V Govindaraju
Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007
An analysis of random projections in cancelable biometrics
D Arpit, I Nwogu, G Srivastava, V Govindaraju
arXiv preprint arXiv:1401.4489, 2014
Dimensionality reduction with subspace structure preservation
D Arpit, I Nwogu, V Govindaraju
Advances in Neural Information Processing Systems 27, 2014
An automated process for deceit detection
I Nwogu, M Frank, V Govindaraju
Biometric Technology for Human Identification VII 7667, 261-270, 2010
A portable and cost-effective upper extremity rehabilitation system for individuals with upper limb motor deficits
F Lin, J Ajay, J Langan, L Cavuoto, I Nwogu, H Subryan, W Xu
2016 IEEE Wireless Health (WH), 1-7, 2016
Use of language as a cognitive biometric trait
N Pokhriyal, I Nwogu, V Govindaraju
IEEE International Joint Conference on Biometrics, 1-8, 2014
Interpretable emotion classification using temporal convolutional models
M Gund, AR Bharadwaj, I Nwogu
2020 25th international conference on pattern recognition (ICPR), 6367-6374, 2021
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