Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Victor R Martinez"'
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0278604 (2022)
Contemporary media is full of images that reflect traditional gender notions and stereotypes, some of which may perpetuate harmful gender representations. In an effort to highlight the occurrence of these adverse portrayals, researchers have proposed
Externí odkaz:
https://doaj.org/article/59bc4b6ff8204a00a97fc99d55a32add
Autor:
Nikolaos Flemotomos, Victor R Martinez, Zhuohao Chen, Torrey A Creed, David C Atkins, Shrikanth Narayanan
Publikováno v:
PLoS ONE, Vol 16, Iss 10, p e0258639 (2021)
During a psychotherapy session, the counselor typically adopts techniques which are codified along specific dimensions (e.g., 'displays warmth and confidence', or 'attempts to set up collaboration') to facilitate the evaluation of the session. Those
Externí odkaz:
https://doaj.org/article/a11d41c49d464f78977237c20a54babe
Autor:
Armen C Arevian, Daniel Bone, Nikolaos Malandrakis, Victor R Martinez, Kenneth B Wells, David J Miklowitz, Shrikanth Narayanan
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0225695 (2020)
Individuals with serious mental illness experience changes in their clinical states over time that are difficult to assess and that result in increased disease burden and care utilization. It is not known if features derived from speech can serve as
Externí odkaz:
https://doaj.org/article/e63044aaf85a40299a4b729c6ca88148
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:2875-2887
This paper describes EPROP, a novel technique requiring little prior knowledge for word sense disambiguation of semantic relations between pairs of ambiguous concepts in knowledge bases. Our method makes inferences by aggregating evidences from ambig
Autor:
Naveen Kumar, Shrikanth S. Narayanan, Krishna Somandepalli, Tanaya Guha, Victor R. Martinez, Hartwig Adam
Publikováno v:
Proceedings of the IEEE. 109:891-910
Media is created by humans for humans to tell stories. There exists a natural and imminent need for creating human-centered media analytics to illuminate the stories being told and to understand their impact on individuals and society at large. An ob
Autor:
Brian T. Pace, Jennifer L. Villatte, David C. Atkins, Jake Van Epps, Zac E. Imel, Victor R. Martinez, Simon B. Goldberg, Nikolaos Flemotomos, Michael J. Tanana, Panayiotis G. Georgiou, Shrikanth S. Narayanan, Patty Kuo
Publikováno v:
J Couns Psychol
Artificial intelligence generally and machine learning specifically have become deeply woven into the lives and technologies of modern life. Machine learning is dramatically changing scientific research and industry and may also hold promise for addr
Publikováno v:
Future Generation Computer Systems. 106:559-571
In the era of big data, large-scale information visualization has become an important challenge. Scalable resolution display environments (SRDEs) have emerged as a technological solution for building high-resolution display systems by tiling lower re
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Complexity, Vol 2019 (2019)
instname
Complexity, Vol 2019 (2019)
Network data mining has attracted a lot of attention since a large number of real-world problems have to deal with complex network data. In this paper, we present NOESIS, an open-source framework for network-based data mining. NOESIS features a large
Autor:
Krishna Somandepalli, Shuting Zheng, Victor Ardulov, Emma Salzman, Victor R. Martinez, Shrikanth S. Narayanan, Somer L. Bishop, Catherine Lord
Publikováno v:
Scientific reports, vol 11, iss 1
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Machine learning (ML) models have demonstrated the power of utilizing clinical instruments to provide tools for domain experts in gaining additional insights toward complex clinical diagnoses. In this context these tools desire two additional propert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5ada04c0cbf63bb7d04cadb86509da5
https://escholarship.org/uc/item/41q900g2
https://escholarship.org/uc/item/41q900g2
Autor:
Karan Singla, Shrikanth S. Narayanan, Krishna Somandepalli, Victor R. Martinez, Yalda T. Uhls, Anil Ramakrishna
Publikováno v:
AAAI
Violent content in movies can influence viewers’ perception of the society. For example, frequent depictions of certain demographics as perpetrators or victims of abuse can shape stereotyped attitudes. In this work, we propose to characterize aspec