Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Karen Hovsepian"'
Autor:
Sonya Zhang, Samuel Lee, Karen Hovsepian, Hannah Morgia, Kelli Lawrence, Natalie Lawrence, Ashish Hingle
As more print media move to online, news and media websites have evolved with increasing complexity in content, design, and monetization strategies. In this article, the authors examined and reported the web design patterns of 150 leading news and me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65eee8d437e16479bbf1c05940b209b0
https://doi.org/10.4018/978-1-6684-6287-4.ch019
https://doi.org/10.4018/978-1-6684-6287-4.ch019
Publikováno v:
Proceedings of The 4th Workshop on e-Commerce and NLP.
Large-scale unsupervised abstractive summarization is sorely needed to automatically scan millions of customer reviews in today’s fast-paced e-commerce landscape. We address a key challenge in unsupervised abstractive summarization – reducing gen
Explainable deep learning models are advantageous in many situations. Prior work mostly provide unimodal explanations through post-hoc approaches not part of the original system design. Explanation mechanisms also ignore useful textual information pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7b2d3b61e7d9e387685ef499806c761
Autor:
Ashish Hingle, Kelli Lawrence, Sonya Zhang, Karen Hovsepian, Hannah Morgia, Samuel Lee, Natalie Lawrence
Publikováno v:
International Journal of Business Analytics. 5:43-60
As more print media move to online, news and media websites have evolved with increasing complexity in content, design, and monetization strategies. In this article, the authors examined and reported the web design patterns of 150 leading news and me
Autor:
Santosh Kumar, Motohiro Nakajima, Mustafa al'Absi, Emre Ertin, Karen Hovsepian, Inbal Nahum-Shani, Susan A. Murphy, Bonnie Spring, Hillol Sarker, Soujanya Chatterjee
Publikováno v:
Mobile Health ISBN: 9783319513935
Mobile Health-Sensors, Analytic Methods, and Applications
Mobile Health-Sensors, Analytic Methods, and Applications
The use of sensor-based assessment of stress to trigger the delivery of just-in-time intervention has the potential to help people manage daily stress as it occurs in the person’s natural environment. The challenge is to mine the continuous stream
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c317b49c92efafc63dbeabb6c16990e
https://doi.org/10.1007/978-3-319-51394-2_21
https://doi.org/10.1007/978-3-319-51394-2_21
Autor:
Andrine Lemieux, Mustafa al'Absi, Nazir Saleheen, Motohiro Nakajima, Emre Ertin, Gowtham Atluri, Bonnie Spring, Hillol Sarker, Karen Hovsepian, Santosh Kumar, Cho Y. Lam, Soujanya Chatterjee, David W. Wetter
Publikováno v:
UbiComp
Craving usually precedes a lapse for impulsive behaviors such as overeating, drinking, smoking, and drug use. Passive estimation of craving from sensor data in the natural environment can be used to assist users in coping with craving. In this paper,
Autor:
Matthew Tyburski, Moushumi Sharmin, Inbal Nahum-Shani, Hillol Sarker, Kenzie L. Preston, Karen Hovsepian, Adam J. Milam, Mahbubur Rahman, Santosh Kumar, C. Debra M. Furr-Holden, Mustafa al'Absi, David H. Epstein
Publikováno v:
CHI
Management of daily stress can be greatly improved by delivering sensor-triggered just-in-time interventions (JITIs) on mobile devices. The success of such JITIs critically depends on being able to mine the time series of noisy sensor data to find th
Publikováno v:
Knowledge and Information Systems. 26:195-223
We present a classification algorithm built on our adaptation of the Generalized Lotka–Volterra model, well-known in mathematical ecology. The training algorithm itself consists only of computing several scalars, per each training vector, using a s
Autor:
Motohiro Nakajima, Mustafa al'Absi, Karen Hovsepian, Emre Ertin, Santosh Kumar, Thomas W. Kamarck
Publikováno v:
UbiComp
Recent advances in mobile health have produced several new models for inferring stress from wearable sensors. But, the lack of a gold standard is a major hurdle in making clinical use of continuous stress measurements derived from wearable sensors. I
Autor:
David H. Epstein, Emre Ertin, Karen Hovsepian, Syed Monowar Hossain, Ashley P. Kennedy, Daniel Agage, Karran A. Phillips, Kenzie L. Preston, Amin Ahsan Ali, Michelle L. Jobes, Matthew Tyburski, Md. Mahbubur Rahman, Rummana Bari, Santosh Kumar
Publikováno v:
Drug and alcohol dependence. 151
Ambulatory physiological monitoring could clarify antecedents and consequences of drug use and could contribute to a sensor-triggered mobile intervention that automatically detects behaviorally risky situations. Our goal was to show that such monitor