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 Nilam Ram

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Average citations per article3.80
Citation Count19
Publication count5
Publication years2013-2017
Available for download4
Average downloads per article212.25
Downloads (cumulative)849
Downloads (12 Months)212
Downloads (6 Weeks)58
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7 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
May 2019 CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 42,   Downloads (12 Months): 48,   Downloads (Overall): 48

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Mobile phone use is pervasive, yet little is known about task switching on digital platforms and applications. We propose an unobtrusive experience sampling method to observe how individuals use their smartphones by taking screenshots every 5 seconds when the device is on. The purpose of this paper is to incorporate ...
Keywords: screenshots, task switching, unobtrusive experience sampling

2 published by ACM
April 2018 SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 53,   Downloads (Overall): 53

Full text available: PDFPDF
Daily engagement in life experiences is increasingly interwoven with mobile device use. Screen capture at the scale of seconds is being used in behavioral studies and to implement "just-in-time" health interventions. The increasing psychological breadth of digital information will continue to make the actual screens that people view a preferred ...
Keywords: image processing, image retrieval, text extraction

3 published by ACM
December 2017 K-CAP 2017: Proceedings of the Knowledge Capture Conference
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 6,   Downloads (12 Months): 52,   Downloads (Overall): 101

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Life experiences are increasingly intertwined with digital devices, suggesting screens as a preferred, if not required, data source for behavioral studies and health interventions. Text Information Extraction from digital screenshots is then a key prerequisite to the overall accuracy of analyses regarding media behaviors. This unique image data set offers ...
Keywords: OCR, image processing, information extraction

4 published by ACM
October 2015 CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 28,   Downloads (Overall): 276

Full text available: PDFPDF
Epidemic monitoring systems engaged in accurate discovery of infected individuals enable better understanding of the dynamics of epidemics and thus may promote effective disease mitigation or prevention. Currently, infection discovery systems require either physical participation of potential patients or provision of information from hospitals and health-care services. While social media ...
Keywords: disease epidemics, simulation, social networks

5
June 2014 Journal of Biomedical Informatics: Volume 49 Issue C, June 2014
Publisher: Elsevier Science
Bibliometrics:
Citation Count: 6

Display Omitted Propose 5 heterogeneous features for identifying health messages in social media.Propose ensemble methods that allow base classifiers to make collective decisions.Validate the proposed methods based on empirical evaluations.Generalize the proposed methodology across multiple social media domains. ObjectivesThe role of social media as a source of timely and massive ...
Keywords: Classification, Machine learning, Social media

6 published by ACM
April 2014 WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 1,   Downloads (12 Months): 14,   Downloads (Overall): 150

Full text available: PDFPDF
Social media has been considered as a data source for tracking disease. However, most analyses are based on models that prioritize strong correlation with population-level disease rates over determining whether or not specific individual users are actually sick. Taking a different approach, we develop a novel system for social-media based ...
Keywords: digital epidemiology, remote diagnosis, twitter, validation

7 published by ACM
October 2013 CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 2,   Downloads (12 Months): 17,   Downloads (Overall): 221

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Social media is emerging as a powerful source of communication, information dissemination and mining. Being colloquial and ubiquitous in nature makes it easier for users to express their opinions and preferences in a seamless, dynamic manner. Epidemic surveillance systems that utilize social media to detect the emergence of diseases have ...
Keywords: classification, machine learning, social media



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