44 related articles for article (PubMed ID: 38699404)
21. Investigation of out-of-distribution detection across various models and training methodologies.
Kim BC; Kim B; Hyun Y
Neural Netw; 2024 Jul; 175():106288. PubMed ID: 38599136
[TBL] [Abstract][Full Text] [Related]
22. Out-of-distribution detection with in-distribution voting using the medical example of chest x-ray classification.
Wollek A; Willem T; Ingrisch M; Sabel B; Lasser T
Med Phys; 2024 Apr; 51(4):2721-2732. PubMed ID: 37831587
[TBL] [Abstract][Full Text] [Related]
23. MLR-OOD: A Markov Chain Based Likelihood Ratio Method for Out-Of-Distribution Detection of Genomic Sequences.
Bai X; Ren J; Sun F
J Mol Biol; 2022 Aug; 434(15):167586. PubMed ID: 35427634
[TBL] [Abstract][Full Text] [Related]
24. WOOD: Wasserstein-Based Out-of-Distribution Detection.
Wang Y; Sun W; Jin J; Kong Z; Yue X
IEEE Trans Pattern Anal Mach Intell; 2024 Feb; 46(2):944-956. PubMed ID: 37906483
[TBL] [Abstract][Full Text] [Related]
25. MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
Zimmerer D; Full PM; Isensee F; Jager P; Adler T; Petersen J; Kohler G; Ross T; Reinke A; Kascenas A; Jensen BS; O'Neil AQ; Tan J; Hou B; Batten J; Qiu H; Kainz B; Shvetsova N; Fedulova I; Dylov DV; Yu B; Zhai J; Hu J; Si R; Zhou S; Wang S; Li X; Chen X; Zhao Y; Marimont SN; Tarroni G; Saase V; Maier-Hein L; Maier-Hein K
IEEE Trans Med Imaging; 2022 Oct; 41(10):2728-2738. PubMed ID: 35468060
[TBL] [Abstract][Full Text] [Related]
26. Self-supervised maize kernel classification and segmentation for embryo identification.
Dong D; Nagasubramanian K; Wang R; Frei UK; Jubery TZ; Lübberstedt T; Ganapathysubramanian B
Front Plant Sci; 2023; 14():1108355. PubMed ID: 37123832
[TBL] [Abstract][Full Text] [Related]
27. Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions.
Guha Roy A; Ren J; Azizi S; Loh A; Natarajan V; Mustafa B; Pawlowski N; Freyberg J; Liu Y; Beaver Z; Vo N; Bui P; Winter S; MacWilliams P; Corrado GS; Telang U; Liu Y; Cemgil T; Karthikesalingam A; Lakshminarayanan B; Winkens J
Med Image Anal; 2022 Jan; 75():102274. PubMed ID: 34731777
[TBL] [Abstract][Full Text] [Related]
28. The Impact of Climate Change on Agricultural Insect Pests.
Skendžić S; Zovko M; Živković IP; Lešić V; Lemić D
Insects; 2021 May; 12(5):. PubMed ID: 34066138
[TBL] [Abstract][Full Text] [Related]
29. Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors.
Boyer P; Burns D; Whyne C
Sensors (Basel); 2021 Mar; 21(5):. PubMed ID: 33804317
[TBL] [Abstract][Full Text] [Related]
30. Deep learning and computer vision will transform entomology.
Høye TT; Ärje J; Bjerge K; Hansen OLP; Iosifidis A; Leese F; Mann HMR; Meissner K; Melvad C; Raitoharju J
Proc Natl Acad Sci U S A; 2021 Jan; 118(2):. PubMed ID: 33431561
[TBL] [Abstract][Full Text] [Related]
31. Advances in insect phototaxis and application to pest management: a review.
Kim KN; Huang QY; Lei CL
Pest Manag Sci; 2019 Dec; 75(12):3135-3143. PubMed ID: 31251458
[TBL] [Abstract][Full Text] [Related]
32. Insect Detection and Classification Based on an Improved Convolutional Neural Network.
Xia D; Chen P; Wang B; Zhang J; Xie C
Sensors (Basel); 2018 Nov; 18(12):. PubMed ID: 30486481
[TBL] [Abstract][Full Text] [Related]
33. Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives.
Singh AK; Ganapathysubramanian B; Sarkar S; Singh A
Trends Plant Sci; 2018 Oct; 23(10):883-898. PubMed ID: 30104148
[TBL] [Abstract][Full Text] [Related]
34. Machine Learning for High-Throughput Stress Phenotyping in Plants.
Singh A; Ganapathysubramanian B; Singh AK; Sarkar S
Trends Plant Sci; 2016 Feb; 21(2):110-124. PubMed ID: 26651918
[TBL] [Abstract][Full Text] [Related]
35. Flying insect detection and classification with inexpensive sensors.
Chen Y; Why A; Batista G; Mafra-Neto A; Keogh E
J Vis Exp; 2014 Oct; (92):e52111. PubMed ID: 25350921
[TBL] [Abstract][Full Text] [Related]
36. Out-of-Distribution Detection Algorithms for Robust Insect Classification.
Saadati M; Balu A; Chiranjeevi S; Jubery TZ; Singh AK; Sarkar S; Singh A; Ganapathysubramanian B
Plant Phenomics; 2024; 6():0170. PubMed ID: 38699404
[TBL] [Abstract][Full Text] [Related]
37. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
William W; Ware A; Basaza-Ejiri AH; Obungoloch J
Comput Methods Programs Biomed; 2018 Oct; 164():15-22. PubMed ID: 30195423
[TBL] [Abstract][Full Text] [Related]
38.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
39.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
40.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]