DiMartino, Lisa & Miano, Thomas & Wessell, Kathryn & Bohac, Buck & Hanson, Laura. (2021). Identification of Uncontrolled Symptoms in Cancer Patients Using Natural Language Processing. Journal of Pain and Symptom Management. 10.1016/j.jpainsymman.2021.10.014.
Chew, R., Rineer, J., Beach, R., O’Neil, M., Ujeneza, N., Lapidus, D., Miano, T., Hegarty-Craver, M., Polly, J., & Temple, D. (2020). Deep neural networks and transfer learning for food crop identification in UAV images. Drones, 4(1), 7.
Kim, A., Miano, T., Chew, R., Eggers, M., & Nonnemaker, J. (2017). Classification of Twitter users who tweet about e-cigarettes. JMIR Public Health and Surveillance, 3(3), e63.
Conference Presentations & Posters
Greene, G., Miano, T., Pedraza, D. (2021, May). The broken shield - face recognition, adversarial attacks, and the dangers of offering imperfect tools. International Conference on Learning Representations (ICLR) RobustML Workshop. https://sites.google.com/connect.hku.hk/robustml-2021/accepted-papers/paper-079
DiMartino, L., Miano, T., Wessell, K., Bohac, B., Hanson, L. (2021, June). Using Natural Language Processing to Identify Late-Stage Cancer Patients in the Electronic Health Record. AcademyHealth Poster Session: Digital Technologies, Data, and Analytics.
DiMartino, L., Miano, T., Wessell, K., Bohac, B., Hanson, L. (2021, March). Palliative Care Research Cooperative Annual Investigator Meeting. Using Natural Language Processing to Identify Late-Stage Cancer Patients in the Electronic Health Record.
Miano, T. N. (2020, November). Automated Revenue Prediction Modeling. Government Advances in Statistical Programming (GASP) 2020. http://doi.org/10.5281/zenodo.4455629
M. Charles, T. N. Miano, X. Zhang, L. E. Barnes and J. M. Lobo, “Monitoring quality indicators for screening colonoscopies,” 2015 Systems and Information Engineering Design Symposium, 2015, pp. 171-175, doi: 10.1109/SIEDS.2015.7116968.
Miano, Thomas. (2018, April). equalAIs - Empowering People & Thwarting Machines. Presented at the Applied Machine Learning Conference - Tom Tom Founders Festival (AMLC), Charlottesville, Virginia: Zenodo. http://doi.org/10.5281/zenodo.4554439
Miano, T. N. (2018). Sound to image: Reflections on machine learning and art. Ars Incognita, Córdoba, Spain.
Kim, A., Chew, R., & Miano, T. (2016). Strategies for addressing methodological challenges in analyzing Twitter data for public health research. American Public Health Association’s (APHA) 2016 Annual Meeting & Expo.
Kim, A. E., Guillory, J., Chew, R., Miano, T., & Liu, B. (2016, November). Strategies for addressing methodological challenges in analyzing Twitter data for public health research. Presented at American Public Health Association conference, Chicago, IL.
Miano, T. (2016, September). Data visualization and immersive art in virtual reality. Presented at 2016 University of Virginia Datapalooza annual conference, Charlottesville, VA.
Chew, R. F., Morris, J., Duparc, R., Manley, M. S., Miano, T. N., Bieler, G., Bir, A., Bland, C., & Considine, K. A. (2016, May). Design and data science: Changing the face of survey data reporting. Poster presented at 2016 AAPOR annual conference, Austin, TX.
Pedraza, D., Miano, T. Greene, G. (2021, May). Cloak & Pixel. Presented at Assembly Project Fellowship Final Showcase, Berkman Klein Center / Assembly at Harvard University, online. https://www.youtube.com/watch?v=EQ_E-F7TbA0&t=1599s
Miano, T., Pedraza, D. (2021, May). Smile! You’re On Camera ☺. Presented at RTI International Data Science Lunch and Learn, online.
Miano, T., Greene, G., Pedraza D. (2021, May). The Broken Shield – Face Recognition, Adversarial Attacks, and the Dangers of Offering Imperfect Tools. Presented at Yale Technology and Ethics Group Interdisciplinary Center for Bioethics, online.
Adjodah, Dhaval, Greene, Gretchen, Joseph, Joshua, Miano, Thomas, O., Francisco, & Pedraza, Daniel. (2018, April). equalAIs - Empowering People & Thwarting Machines. Presented at the 2018 MIT/Harvard Assembly Showcase, Cambridge, Massachusetts: Zenodo. http://doi.org/10.5281/zenodo.4558005
Miano, T. (2017). Artificial Intelligence. Presented at RTI International Data Science Lunch and Learn. RTI Intertional, Research Triangle Park, NC.
Miano, T. (2016, April). Workshop in building interactive data visualizations. Guest lecturer at the University of Virginia School of Architecture, Charlottesville, VA.
Miano, T. (2016, April). Case studies in design thinking and data visualization. Guest lecturer at University of Virginia School of Architecture, Charlottesville, VA.
Miano, T. (2015). Ethics in data science and artificial intelligence. Presented at RTI International Data Science Lunch and learn. RTI Intertional, Research Triangle Park, NC.
Miano, T. N. (2019). Guiding the Ethics of Artificial Intelligence. RTI International Insights Blog. https://www.rti.org/insights/guiding-ethics-artificial-intelligence
Socratic Datum (2016). How to build a GPU deep learning machine. Medium. https://medium.com/@SocraticDatum/getting-started-with-gpu-driven-deep-learning-part-1-building-a-machine-d24a3ed1ab1e#.ir2djg3vt
Socratic Datum (2016). Setting up Ubuntu and Docker for deep learning. Medium. https://medium.com/@SocraticDatum/getting-started-with-deep-learning-environment-fd1947aab29
Socratic Datum (2016). Using deep learning with style transfer. Medium. https://medium.com/@SocraticDatum/gpu-dl-tutorial-part-3-style-transfer-dec5f387d9ed