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Farron Wallace

Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset
2022 · Simegnew Yihunie Alaba, M M Nabi, et al. · Sensors · 66
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Uncertainty-Based Active Learning via Sparse Modeling for Image Classification
2018 · Gaoang Wang, Jenq-Neng Hwang, et al. · IEEE Transactions on Image Processing · 39
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Fish Tracking and Segmentation From Stereo Videos on the Wild Sea Surface for Electronic Monitoring of Rail Fishing
2018 · Tsung-Wei Huang, Jenq-Neng Hwang, et al. · IEEE Transactions on Circuits and Systems for Video Technology · 32
Multi-Scale Fish Segmentation Refinement and Missing Shape Recovery
2019 · Gaoang Wang, Jenq-Neng Hwang, et al. · IEEE Access · 27
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Uncertainty sampling based active learning with diversity constraint by sparse selection
2017 · Gaoang Wang, Jenq-Neng Hwang, et al. · IEEE International Workshop on Multimedia Signal Processing (MMSP) · 21
Shrinking Encoding with Two-Level Codebook Learning for Fine-Grained Fish Recognition
2016 · Gaoang Wang, Jenq-Neng Hwang, et al. · 17
YOLOv8-TF: Transformer-Enhanced YOLOv8 for Underwater Fish Species Recognition with Class Imbalance Handling
2025 · Chiranjibi Shah, M M Nabi, et al. · Sensors · 16
An enhanced YOLOv5 model for fish species recognition from underwater environments
2023 · Chiranjibi Shah, Simegnew Yihunie Alaba, et al. · 16
Semi-supervised learning for fish species recognition
2023 · Simegnew Alaba, Chiranjibi Shah, et al. · 13
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Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling
2023 · Jack H. Prior, Matthew D. Campbell, et al. · Frontiers in Marine Science · 13
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MI-AFR: multiple instance active learning-based approach for fish species recognition in underwater environments
2023 · Chiranjibi Shah, Simegnew Yihunie Alaba, et al. · 9
Automated Analysis of Underwater Imagery: Accomplishments, Products, and Vision
2019 · Richards, Benjamin L., Beijbom, Oscar, et al. · NOAA Institutional Repository · 9
Innovative Camera Applications for Electronic Monitoring
2015 · F Wallace, K Williams, et al. · Alaska Sea Grant, University of Alaska Fairbanks eBooks · 9
Probabilistic Model-Based Active Learning with Attention Mechanism for Fish Species Recognition
2023 · M M Nabi, Chiranjibi Shah, et al. · 8
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Live Tracking of Rail-Based Fish Catching on Wild Sea Surface
2016 · Tsung-Wei Huang, Jenq-Neng Hwang, et al. · 8
A Zero Shot Detection Based Approach for Fish Species Recognition in Underwater Environments
2023 · Chiranjibi Shah, M M Nabi, et al. · 7
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A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Videos
2024 · Cheng-Yen Yang, Hsiang-Wei Huang, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 6
Multi-fish tracking for marine biodiversity monitoring
2024 · Simegnew Y. Alaba, Jack Prior, et al. · 5
Progressive Mixup Augmented Teacher-Student Learning for Unsupervised Domain Adaptation
2023 · Aotian Zheng, Jie Mei, et al. · Proceedings - International Conference on Image Processing · 5
Optimizing and Gauging Model Performance with Metrics to Integrate with Existing Video Surveys
2023 · Jack H. Prior, Simegnew Yihunie Alaba, et al. · 5
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Strategic plan for electronic monitoring and electronic reporting in the North Pacific
2014 · M. R. Loefflad, Farron Wallace, et al. · 5
Improved fish tracking in underwater images for marine biodiversity monitoring
2025 · Chiranjibi Shah, M. M. Nabi, et al. · 4
Recognizing Fish Species Captured Live on Wild Sea Surface in Videos by Deep Metric Learning with a Temporal Constraint
2019 · Tsung-Wei Huang, Jenq-Neng Hwang, et al. · Proceedings - International Conference on Image Processing · 4
The Role of the Web Server in a Capstone Web Application Course
2010 · Karthikeyan Umapathy, Farron Wallace · 4
FishART: A platform for enhancing underwater fish detection and classification
2025 · Iffat Ara Ebu, M. M. Nabi, et al. · 3
Works count: 46
Citation count: 360
H-index: 10
I10-index: 10
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