Machine Learning – Page 3 – Frost Institute for Data Science & Computing

Data Citizens: A Distinguished Lecture Series presents NIST’s Dr.…

Join us for another cutting-edge lecture as Ram D. Sriram, PhD, Chief of the Software and Systems Division at the National Institute of Standards and Technology’s (NIST) IT Lab, takes a look at the third wave of AI combining neural networks and knowledge structures and how it is impacting his health care research at NIST. Read more “Data Citizens: A Distinguished Lecture Series presents NIST’s Dr. Ram Sriram 4/19” →

Publications

Computational Approaches to Understanding Interaction and Development

Daniel Messinger, Lynn Perry, et al. contributed to the book series “Advances in Child Development Behavior,” Volume 62 “New Methods and Approaches for Studying Child Development,” Chapter 7 “Computational Approaches to Understanding Interaction and Development,” which focuses on vocal interaction and development in children.

News

Miami Dade College Machine Learning Webinar 4/6 features Ben…

The University of Miami Institute for Data Science and Computing (IDSC) is pleased to partner with the Miami Dade College, Kendall Campus, School of Engineering and Design Technology (“EnTec”) in offering MDC students a glimpse into the world of Machine Learning for Weather and Climate Forecasting through the eyes of IDSC Earth Systems Director Dr. Ben Kirtman. Read more “Miami Dade College Machine Learning Webinar 4/6 features Ben Kirtman” →

Publications

Frontiers in Psychology: Remote Data Collection During a Pandemic

Congratulations to Prof. Amin Sarafraz who was one of the authors of an article that recently appeared in the Frontiers in Psychology Journal, under the research topic “Empirical Research at a Distance: New Methods for Developmental Science.” As Covid-19 affected in-person data collection, this group found an approach for estimating gaze direction and duration collected remotely from webcam recordings by using a combination of OpenFace and machine learning. Read more “Frontiers in Psychology: Remote Data Collection During a Pandemic” →

Dr. Yelena Yesha Featured Speaker at FLAIRS Conference 5/15-18

IDSC Innovation Officer Dr. Yelena Yesha will be a featured speaker at the 35th International FLAIRS (the Florida Artificial Intelligence Research Society) Conference. Her talk title, bio, and abstract are below. Read more “Dr. Yelena Yesha Featured Speaker at FLAIRS Conference 5/15-18” →

Publications

Early Interaction: New Approaches

Daniel Messinger, Jacquelyn Moffitt, et al. published a chapter (21) in Oxford Academic’s The Oxford Handbook of Emotional Development titled “Early Interaction: New Approaches.” The chapter focuses on new developments in behavior imaging, objective quantification of human action, and computational approaches to the study of early emotional interaction and development.

Publications

Remote Data Collection During a Pandemic: A New Approach…

In early 2020, in-person data collection dramatically slowed or was completely halted across the world as many labs were forced to close due to the COVID-19 pandemic. Developmental researchers who assess looking time (especially those who rely heavily on in-lab eye-tracking or live coding techniques) were forced to re-think their methods of data collection. Read more “Remote Data Collection During a Pandemic: A New Approach for Assessing and Coding . . .” →

Events - Past

Catch the Replay: Meet a Data Scientist Ching-Hua Chuan

The Meet a Data Scientist series is a chance to get up close and personal with top-level data science professionals. If you missed this talk with Assistant Professor of Interactive Media, Ching-Hua Chuan, PhD. watch now as Dr. Chuan shares her research interests, which include artificial intelligence, machine learning, and music information retrieval with a focus on human-centered computing. Read more “Catch the Replay: Meet a Data Scientist Ching-Hua Chuan” →

Drs. Yelena Yesha and Pierre-François d’Haese Speak at FDA…

“Take10: Towards a Novel Ecosystem for Transparent Integration of AI in Clinical Flow” is a presentation by Dr. Yelena Yesha and Dr. Pierre-François d’Haese on the basis of a novel ecosystem developed between the West Virginia University Rockefeller Neuroscience Institute and the University of Miami Institute for Data Science and Computing (IDSC). Read more “Drs. Yelena Yesha and Pierre-François d’Haese Speak at FDA AI/ML Meeting 11/29” →

Events

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