Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Saket Sathe"'
Publikováno v:
Knowledge and Information Systems. 63:675-694
Spectral clustering is one of the most popular modern clustering algorithms. It is easy to implement, can be solved efficiently, and very often outperforms other traditional clustering algorithms such as k-means. However, spectral clustering could be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5b354df08f48458c02c4489ea6856ce
https://doi.org/10.1007/s10115-020-01530-8
https://doi.org/10.1007/s10115-020-01530-8
Publikováno v:
ACM SIGKDD Explorations Newsletter. 21:23-38
Deep learning methods have found increasing interest in recent years because of their wide applicability for prediction and inference in numerous disciplines such as image recognition, natural language processing, and speech recognition. Computationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80567ef91d61bb4bea3002d42eb64074
https://doi.org/10.1145/3373464.3373471
https://doi.org/10.1145/3373464.3373471
Autor:
Charu C. Aggarwal, Saket Sathe
Publikováno v:
Knowledge and Information Systems. 56:691-715
Outlier detection algorithms are often computationally intensive because of their need to score each point in the data. Even simple distance-based algorithms have quadratic complexity. High-dimensional outlier detection algorithms such as subspace me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dac49a64453add63978fbb769abe225f
https://doi.org/10.1007/s10115-017-1148-8
https://doi.org/10.1007/s10115-017-1148-8
Autor:
Shibban K Kaul, Piyush Singhania, Nitin Joshi, Sanish Shringarpure, Nandkishor Raut, Saket Sathe, Chander P Puri, Niraj Tiwari
Publikováno v:
MGM Journal of Medical Sciences. 4:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0811b4580f13cdb6184318b3580c77cb
https://doi.org/10.5005/jp-journals-10036-1128
https://doi.org/10.5005/jp-journals-10036-1128
Autor:
Saket Sathe, Charu C. Aggarwal
Publikováno v:
ICDM
Recent experimental studies have shown that the support vector machine and the random forest are "stand out" models that outperform most other supervised learning methods in benchmarked evaluations on real-world data sets. Studies have also establish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebf40000b25f3d4c967b4603aaa5b861
https://doi.org/10.1109/icdm.2019.00164
https://doi.org/10.1109/icdm.2019.00164
Publikováno v:
ICDM
Spectral clustering is one of the most popular modern clustering algorithms. It is easy to implement, can be solved efficiently, and very often outperforms other traditional clustering algorithms such as k-means. However, pectral clustering would be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f53fe6a986b894259b97f666ffba852d
https://doi.org/10.1109/icdm.2019.00027
https://doi.org/10.1109/icdm.2019.00027
Autor:
Yuan-Chi Chang, Pratik Agrawal, Rodrigue Ngueyep, Saket Sathe, Edward Vitkin, Deepak S. Turaga, Sarah Kefayati, Long Vu, Gretchen Purcell Jackson, Venkata N. Pavuluri, Yuxiang Zhong, Cao Lingtao
Publikováno v:
Diabetes. 68
Introduction: Hypoglycemia is a potentially life-threatening complication of diabetes that can result in seizures, coma, and death, if left untreated. We have built a machine learning system that can predict occurrences of low glucose events from con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fe8b4b9c4e96c827303525a2397c0c9
https://doi.org/10.2337/db19-280-or
https://doi.org/10.2337/db19-280-or
Publikováno v:
ACM SIGKDD Explorations Newsletter. 17:24-36
The significant adoption of solar photovoltaic (PV) systems in both commercial and residential sectors has spurred an interest in monitoring the performance of these systems. This is facilitated by the increasing availability of regularly logged PV p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2edc6ea99c4e52dbd3b92a993016ab5a
https://doi.org/10.1145/2897350.2897354
https://doi.org/10.1145/2897350.2897354
Autor:
Chander P Puri, Nitin Joshi, Saket Sathe, Shibban K Kaul, Niraj Tiwari, Sanish Shringarpure, Nandkishor Raut, Piyush Singhania
Publikováno v:
MGM Journal of Medical Sciences. 4:97-99
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7fc90733cbf01b042a0a79b2b96eded
https://doi.org/10.5005/jp-journals-10036-1147
https://doi.org/10.5005/jp-journals-10036-1147
Autor:
Charu C. Aggarwal, Saket Sathe
Publikováno v:
ACM SIGKDD Explorations Newsletter. 17:24-47
Ensemble analysis has recently been studied in the context of the outlier detection problem. In this paper, we investigate the theoretical underpinnings of outlier ensemble analysis. In spite of the significant differences between the classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6d7259f9b4a7910ae5b4c7659a10fc
https://doi.org/10.1145/2830544.2830549
https://doi.org/10.1145/2830544.2830549