Dennis Núñez-Fernández

BSc in Electronic Engineering, Universidad Nacional de Ingeniería (UNI)


Research


Journal Articles

  • [under review] D. Núñez-Fernández, F. Barrientos-Porras, R. H. Gilman, M. Vittet-Mondoñedo, P. Sheen, M. Zimic. ‘A Convolutional Neural Network for gaze preference detection: A potential tool for diagnostics of autism spectrum disorder in children’. arXiv preprint arXiv:2007.14432. (2021)
    [PDF] [arXiv]
  • [under review] M. Fernandez Díaz, K. Calderon, A. Rojas-Neyra, [and 34 others, including D. Núñez-Fernández], for the COVID-19 Working Group in Peru. ‘Development and pre-clinical evaluation of Newcastle disease virus-vectored SARS-CoV-2 intranasal vaccine candidate’. bioRxiv preprint bioRxiv:2021.03.07.434276. (2021)
    [PDF] [bioRxiv]

Conference Proceedings

  • A. Aspilcueta Narvaez, D. Núñez-Fernández, S. Gamarra Quispe, D. Lazo Ochoa. ‘Smart Campus IoT guidance system for visitors based on Bayesian filters’. Brazilian Technology Symposium BTSym 2019. Lima, Peru. (2019)
    [PDF] [Springer]
  • D. Núñez-Fernández. ‘Development of a hand gesture based control interface using Deep Learning’. International Conference on Information Management and Big Data SIMBig 2019. Lima, Peru. (2019)
    [PDF] [Springer]
  • D. Núñez-Fernández. ‘Implementation of an indoor location system for mobile-based museum guidance’. International Conference on Information Management and Big Data SIMBig 2019. Lima, Peru. (2019)
    [PDF] [Springer]
  • D. Núñez-Fernández. ‘Development of a hand pose recognition system on an embedded computer using Artificial Intelligence’. XXVI International Conf. on Electronics, Electrical Eng. and Computing INTERCON. Lima, Peru. (2019)
    [PDF] [IEEE Xplore]
  • D. Núñez-Fernández. ‘Implementation of a WiFi-based indoor location system on a mobile device for a university area’. XXVI International Conf. on Electronics, Electrical Eng. and Computing INTERCON. Lima, Peru. (2019)
    [PDF] [IEEE Xplore]
  • D. Núñez-Fernández. ‘Multi-subject continuous emotional states monitoring by using Convolutional Neural Networks’. International Conference on Control of Dynamical and Aerospace Systems XPOTRON 2019. Arequipa, Peru. (2019)
    [PDF] [IEEE Xplore]
  • D. Núñez-Fernández, S. Hosseini. ‘Real-time handwritten letters recognition on an embedded computer using ConvNets’. Sciences and Humanities International Research Conference SHIRCON 2018. Lima, Peru. (2018)
    [PDF] [IEEE Xplore]
  • D. Núñez-Fernández. ‘A Real-Time Recognition System for User Characteristics Based on Deep Learning’. XXV International Conf. on Electronics, Electrical Eng. and Computing INTERCON 2018. Lima, Peru. (2018)
    [PDF] [IEEE Xplore]
  • D. Núñez-Fernández, B. Kwolek. ‘Hand Posture Recognition Using Convolutional Neural Network’. 22nd Iberoamerican Congress on Pattern Recognition CIARP 2017. Valparaiso, Chile. (2017)
    [PDF] [Springer]

Workshop papers

  • C. Rojas-Azabache, K. Vilca-Janampa, R. Guerrero-Huayta, D. Núñez-Fernández. ‘Implementing a Detection System for COVID-19 based on Lung Ultrasound Imaging and Deep Learning’. Beyond Fairness Workshop at CVPR 2021. Tennessee, USA. (2021)
    [PDF] [arXiv]
  • D. Núñez-Fernández, L. Ballan, G. Jiménez-Avalos, J. Coronel, P. Sheen, M. Zimic. ‘Prediction of Tuberculosis using U-Net and segmentation techniques’. AI for Public Health Workshop at ICLR 2021. Vienna, Austria. (2021)
    [PDF] [arXiv]
  • C. Rojas-Azabache, K. Vilca-Janampa, R. Guerrero-Huayta, D. Núñez-Fernández. ‘Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging’. Practical Machine Learning for Developing Countries Workshop at ICLR 2021. Vienna, Austria. (2021)
    [PDF] [arXiv]
  • D. Núñez-Fernández, L. Ballan, G. Jiménez-Avalos, J. Coronel-Herrera, M. Zimic-Peralta. ‘Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images’. Machine Learning for Global Health Workshop at ICML 2020. Vienna, Austria. (2020)
    [PDF] [arXiv]
  • D. Núñez-Fernández, L. Ballan, G. Jiménez-Avalos, J. Coronel-Herrera, M. Zimic-Peralta. ‘Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images’. Healthcare Systems, Population Health, and the Role of Health-Tech (HSYS) Workshop at ICML 2020. Vienna, Austria. (2020)
    [PDF] [arXiv]
  • D. Núñez-Fernández, F. Porras-Barrientos, M. Vittet-Mondoñedo, R. H. Gilman, M. Zimic-Peralta. ‘Prediction of gaze direction using Convolutional Neural Networks for Autism diagnosis’. LatinX in AI (LXAI) Research Workshop at NeurIPS 2019. Vancouver, Canada. (2019)
    [PDF] [arXiv]
  • B. Saldivar-Espinoza, D. Núñez-Fernández, F. Porras-Barrientos, A. Alva-Mantari, L. S. Leslie, M. Zimic-Peralta. ‘Portable system for the prediction of anemia based on the ocular conjunctiva using Artificial Intelligence’. LatinX in AI (LXAI) Research Workshop at NeurIPS 2019. Vancouver, Canada. (2019)
    [PDF] [arXiv]
  • D. Núñez-Fernández. ‘Development of a hand pose recognition system on an embedded computer using CNNs’. LatinX in AI (LXAI) Research Workshop at NeurIPS 2019. Vancouver, Canada. (2019)
    [PDF] [arXiv]
  • D. Núñez-Fernández, B. Kwolek. ‘Hand Posture Recognition Using Convolutional Neural Networks’. LatinX in AI (LXAI) Research Workshop at ICML 2019. Long Beach, USA. (2019)
    [PDF] [Open Archive HAL]