A Survey of Deep Active Learning

Cited by (1,006)

Items 501–600 of 1,006

1. An active learning enhanced data programming (ActDP) framework for ECG time series
   Priyanka Gupta, Manik Gupta, Vijay Kumar · 2024 · Machine Learning Science and Technology
2. Dual-Model Collaboration Consistency Semi-Supervised Learning for Few-Shot Lithology Interpretation
   Wei Han, Zhongliang Fu, Shuanglin Xiao, Xiongwei Zheng, Xiaohui Huang, Yi Wang, Jining Yan, Sheng Wang, Dongmei Yan · 2024 · IEEE Transactions on Geoscience and Remote Sensing
3. Active Generation for Image Classification
   Tao Huang, Jiaqi Liu, Shan You, Chang Xu · 2024 · Lecture notes in computer science
4. Predictive Visuo-Tactile Interactive Perception Framework for Object Properties Inference
   Anirvan Dutta, Etienne Burdet, Mohsen Kaboli · 2025 · IEEE Transactions on Robotics
5. Advancements, Challenges, and Future Directions in Scene-Graph-Based Image Generation: A Comprehensive Review
   Ijeoma Amuche Chikwendu, Xiaoling Zhang, Happy Nkanta Monday, Grace Ugochi Nneji, Chiagoziem C. Ukwuoma, Okechukwu Chinedum Chikwendu, Yeong Hyeon Gu, Mugahed A. Al–antari · 2025 · Electronics
6. A Learning Paradigm for Selecting Few Discriminative Stimuli in Eye-Tracking Research
   Wenqi Zhong, Chen Xia, Linzhi Yu, Kuan Li, Zhongyu Li, Dingwen Zhang, Junwei Han · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
7. Uncertainty-driven active learning in a deep semi-supervised framework for WCE image classification
   P. Muruganantham, Senthil Murugan Balakrishnan · 2025 · Results in Engineering
8. A Novel Method for Detection of ECG with Deep Learning
   Haiyan Wang, Yanjie Zhou, Bing Zhou, Zongmin Wang · 2021 · IEEE International Conference on Computer and Communications (ICCC)
9. Hyperspectral image classification using principle component analysis and deep convolutional neural network
   Sandhya Shinde, Hemant Patidar · 2022 · Journal of Ambient Intelligence and Humanized Computing
10. Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
    Yu Huang, Yufei Tang, Xingquan Zhu A, Hanqi Zhuang, Laurent Marcel Chérubin · 2022 · IEEE Access
11. Scalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems using Active Deep Learning
    Angelo D. Bonzanini, Joel A. Paulson, Georgios Makrygiorgos, Ali Mesbah · 2022 · IEEE Conference on Decision and Control (CDC)
12. Active learning with effective scoring functions for semi-supervised temporal action localization
    Ding Li, Xuebing Yang, Yongqiang Tang, Chenyang Zhang, Wensheng Zhang, Lizhuang Ma · 2023 · Displays
13. Autonomously Adaptive Machine Learning Systems: Experimentation-Driven Open-Source Pipeline
    Yumo Luo, Mikko Raatikainen, Jukka K. Nurminen · 2023 · Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
14. Using dropout based active learning and surrogate models in the inverse viscoelastic parameter identification of human brain tissue
    Jan Hinrichsen, Carl Gabriel Ferlay, Nina Reiter, Silvia Budday · 2024 · Frontiers in Physiology
15. Infants’ attention during cross-situational word learning: Environmental variability promotes novelty preference
    Kirsty Dunn, Rebecca Louise Ann Frost, Padraic Monaghan B · 2024 · Journal of Experimental Child Psychology
16. Physics-Based Active Learning for Design Space Exploration and Surrogate Construction for Multiparametric Optimization
    Sergio Torregrosa, Victor Champaney, Amine Ammar, Vincent Herbert, Francisco Chinesta C · 2024 · Communications on Applied Mathematics and Computation
17. Active Learning Guided by Efficient Surrogate Learners
    Yunpyo An, Suyeong Park, K. Kim · 2023 · AAAI Conference on Artificial Intelligence
18. Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification
    Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray Buntine · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
19. Active Learning for Detecting Hardware Sensors-Based Side-Channel Attack on Smartphone
    Sidra Abbas, Shtwai Alsubai, Stephen Ojo, Gabriel Avelino Sampedro, Ahmad S. Almadhor, Abdullah Al Hejaili, Imen Rashid Bouazzi · 2024 · Arabian Journal for Science and Engineering
20. Neuron Sensitivity-Guided Test Case Selection
    Dong Huang, Qingwen Bu, Yichao Fu, Yuhao Qing, Xiaofei Xie, Junjie Chen, Heming Cui · 2024 · ACM Transactions on Software Engineering and Methodology
21. A Synergistic Large Language Model and Supervised Learning Approach to Zero-Shot and Continual Activity Recognition in Smart Homes
    Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Thomas Plötz, Sonia Chernova · 2024 · IEEE International Conference on Big Data Analytics (ICBDA)
22. MyriadAL: Active Few Shot Learning for Histopathology
    Nico Schiavone, Jingyi Wang, Shuangzhi Li, Roger J. Zemp, Xingyu Li · 2024 · IEEE Conference on Artificial Intelligence (CAI)
23. Lidar Panoptic Segmentation in an Open World
    Anirudh Srinivasan Chakravarthy, Meghana Reddy Ganesina, Peiyun Hu, Laura Leal-Taixé, Shu Kong, Deva Ramanan, Aljoša Ošep · 2024 · International Journal of Computer Vision
24. A Low-Cost and stable DAL arrhythmia detection algorithm based on the weak stratification query strategy of morphological statistical features
    Haiyan Wang, Yanjie Zhou, Xiangdong Niu, Daijun Liu, Lingling Li, Ying Duan, Zongmin Wang · 2024 · Expert Systems with Applications
25. Fine-Grained Fidgety Movement Classification Using Active Learning
    Romero F.A.B. de Morais, Truyen Tran, Caroline F. Alexander, Natasha Amery, Catherine Morgan, Alicia Jane Spittle, Vuong Le, Nadia A. Badawi, Alison Salt, Jane P. Valentine et al. · 2024 · IEEE Journal of Biomedical and Health Informatics
26. Active-Darknet: An Iterative Learning Approach for Darknet Traffic Detection and Categorization
    Sidra Abbas, Imen Rashid Bouazzi, Gabriel Avelino Sampedro, Shtwai Alsubai, Ahmad S. Almadhor, Abdullah Al Hejaili, Natalia Kryvinska · 2024 · IEEE Access
27. Local Uncertainty Energy Transfer for Active Domain Adaptation
    Yulin Sun, Guangming Shi, Weisheng Dong, Xin Li, Le Dong, Xuemei Xie · 2025 · IEEE Transactions on Image Processing
28. Fostering non-intrusive load monitoring for smart energy management in industrial applications: an active machine learning approach
    Lukas Fabri, Daniel Leuthe, Lars-Manuel Schneider, Simon Wenninger · 2025 · Energy Informatics
29. Design method of aeroengine turbine tenon/mortise joints’ teeth number based on active learning random forest and structural design optimization
    Shaojing Dong, Yufan Fang, Xiuli Shen, Peng Li · 2025 · Aerospace Science and Technology
30. ImitAL: Learned Active Learning Strategy on Synthetic Data
    Julius Gonsior, Maik Thiele, Wolfgang Lehner · 2022 · Lecture notes in computer science
31. Multi-point synchronous temporary grounding wire detection device based on convolutional neural networks
    Linfei Yin, Yuhan Li · 2024 · International Journal of Electrical Power & Energy Systems
32. Data-Efficient Surrogate Modeling for Engineering Design: Ensemble-Free Batch-Mode Deep Active Learning for Regression
    Sarthak Kapoor, Harsh Vardhan, Umesh Timalsina, Sumit Kumar, Péter Völgyesi, János Sztipanovits · 2025 · International Conference on Computers and Artificial Intelligence Technology (CAIT)
33. PMAL: A Proxy Model Active Learning Approach for Vision Based Industrial Applications
    Abbas Khan, Ijaz Ul Haq, Tanveer Hussain, Khan Muhammad, Mohammad Hijji, Muhammad Sajjad, Victor Hugo C. de Albuquerque, Sung Wook Baik · 2022 · ACM Transactions on Multimedia Computing Communications and Applications
34. Systematic comparison of incomplete-supervision approaches for biomedical imaging classification
    Sayedali Shetab Boushehri, Ahmad Bin Qasim, Dominik Waibel, Fabian Schmich, Carsten Marr · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
35. Backdoor Attack and Defense for Deep Regression
    Xi Li, George Kesidis, David Jonathan Miller, Vladimir M. Lucic · 2021 · arXiv (Cornell University)
36. The lack of theory is painful: Modeling Harshness in Peer Review Comments
    Verma, Rajeev, Roychoudhury, Rajarshi, Ghosal, Tirthankar · 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
37. Anchor Points: Benchmarking Models with Much Fewer Examples
    Vivek, Rajan, Ethayarajh, Kawin, Yang, Diyi, Kiela, Douwe · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
38. Anchor Points: Benchmarking Models with Much Fewer Examples
    Vivek, Rajan, Ethayarajh, Kawin, Yang, Diyi, Kiela, Douwe · 2023 · arXiv
39. Local search-based online learning algorithm for shape and cross-section optimization of free-form single-layer reticulated shells
    Qiang Zeng, Makoto Ohsaki, Kazuki Hayashi, Shaojun Zhu, Xiaonong Guo · 2025 · Automation in Construction
40. Active Machine Learning for Adaptive and Efficient Sparse Near-Field Scanning: An Overview
    Ling Zhang, Er‐Ping Li · 2025 · IEEE Electromagnetic Compatibility Magazine
41. Hierarchical multi-fidelity surrogate modeling with curvature- and uncertainty-driven sampling for fluid flow prediction
    Chunlong Hai, Liquan Mei · 2025 · Physics of Fluids
42. PFedAL-ECG: A lightweight arrhythmia diagnostic system leveraging personalized federated active learning
    Ziyang He, Yuan Liu, Laurence Tianruo Yang, Zhaoyang Ge, Ling Kuang, Cong Yang, Hangcheng Cao, Nan Lin · 2025 · Information Fusion
43. Adaptive Weighted Double Uncertainty Incrementally Active Learning for Multi-Class Imbalanced Data
    Wuxing Chen, Zhiwen Yu, Kaixiang Yang, Ziwei Fan, C. L. Philip Chen · 2025 · IEEE Transactions on Knowledge and Data Engineering
44. A unified knowledge graph linking foodomics to chemical-disease networks and flavor profiles
    Fangzhou Li, Jason Youn, Kaichi Xie, Trevor Chan, Pranav Gupta, Arielle Yoo, Michael Gunning, Keer Ni, Ilias Tagkopoulos · 2026 · npj Science of Food
45. Learning to Select Like Humans: Explainable Active Learning for Medical Imaging
    Ifrat Ikhtear Uddin, Long-Wei Wang, Xiaodi Qin, Yang Zhou, K. Santosh · 2026 · Conference on Algebraic Informatics
46. Reducing the Cost of Spoof Detection Labeling using Mixed-Strategy Active Learning and Pretrained Models
    Mark Lindsey, Nathaniel R. Robinson, Francis Kubala, Richard M. Stern · 2023 · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
47. Investigating the conception of collaborative learning (CL) and student engagement in the acquisition of practical skills (SEPSA) among prospective physical education and sports students
    Yerlan Temirkhanov, Taiyrzhan Bahytbaevich Iskakov, Mira Iralina, Aidyn Zhumagulov, Gulnaz Atagulova, Saltanat Boztayeva · 2024 · PLoS ONE
48. Automated Flakiness Detection in Quantum Software Bug Reports
    Lei Zhang, Andriy V. Miranskyy · 2024 · IEEE International Conference on Quantum Computing and Engineering (QCE)
49. Improving accuracy for inferior alveolar nerve segmentation with multi-label of anatomical adjacent structures using active learning in cone-beam computed tomography
    Sungchul On, Junhyeok Ock, Myungsoo Bae, Jaewoo Park, Seung‐Hak Baek, Sungwon Ham, Namkug Kim · 2025 · Scientific Reports
50. Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
    Benjamin Kolicic, Alberto Caron, Vasilios Mavroudis, Chris Hicks · 2024 · Annual Computer Security Applications Conference Workshops (ACSAC Workshops)
51. A Transformer-Based Model for the Automatic Detection of Administrative Burdens in Transposed Legislative Documents
    Victor Costa, Mauro Castelli, Pedro Simoes Coelho · 2025 · Technologies
52. DeepVec: State-Vector Aware Test Case Selection for Enhancing Recurrent Neural Network
    Zhonghao Jiang, Meng Ling Yan, Li Huang, Weifeng Sun, Chao Liu, Song Sun, David Lo · 2025 · IEEE Transactions on Software Engineering
53. SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training
    Luyang Fang, Cheng Meng, Lin Zhao, Tao Wang, Tianming Liu, Wenxuan Zhong, Ping Ma · 2025 · Big Data Mining and Analytics
54. Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning
    Richard Lindholm, Oscar Marklund, Olof Mogren, John Martinsson · 2025 · European Signal Processing Conference (EUSIPCO)
55. Active learning for improving out-of-distribution lab-in-the-loop experimental design
    Daria Balashova, Robert Frank, S. O. Kuzyakina, Dominique Weltevreden, Philippe Auguste Robert, Geir Kjetil Sandve, Victor Greiff · 2026 · ImmunoInformatics
56. An active learning approach for the interactive and guided segmentation of tomography data
    Bashir Kazimi, Philipp Heuser, Frank Schluenzen, Hanna Ćwieka, Diana Krüger, Berit Zeller‐Plumhoff, D. C. Florian Wieland, Jörg U. Hammel, Felix Beckmann, Julian P. Moosmann · 2022 · Developments in X-Ray Tomography
57. Deep Active Learning for Detection of Mercury’s Bow Shock and Magnetopause Crossings
    Sahib Julka, Nikolas Kirschstein, Michael Granitzer, Alexander Lavrukhin, Ute Amerstorfer · 2023 · Lecture notes in computer science
58. Generating Synthetic Data Using a Knowledge-based Framework for Autonomous Productions
    Oliver Petrović, David Leander Dias Duarte, Werner Herfs · 2023 · IEEE/ASME International Conference on Advanced Intelligent Mechatronics
59. Deep Constrained Clustering with Active Learning
    Dan Huang, Ran WEN, Boren DING, Junhua LI · 2023 · Studies in Informatics and Control
60. Enhancing the Applicability of Sign Language Translation
    Jiao Li, Jiakai Xu, Yang Liu, Weitao Xu, Zhenjiang Li · 2024 · IEEE Transactions on Mobile Computing
61. Active learning on Indonesian Twitter sentiment analysis using uncertainty sampling
    Muhaza Liebenlito, Nur Inayah, Esti Choerunnisa, Taufik Edy Sutanto, Suma Inna · 2024 · Journal of Applied Data Sciences
62. Bidirectional Complementary Correlation-Based Multimodal Aspect-Level Sentiment Analysis
    Jing Yang, Yu-Jie Xiong · 2024 · International Journal on Semantic Web and Information Systems
63. Active Transfer Learning for Efficient Video-Specific Human Pose Estimation
    Hiromu Taketsugu, Norimichi Ukita · 2024 · IEEE Winter Conference on Applications of Computer Vision
64. Efficient annotation reduction with active learning for computer vision-based Retail Product Recognition
    Niels Griffioen, Nevena Ranković, Federico Zamberlán, Monisha Punith · 2024 · Journal of Computational Social Science
65. Research on transformer fault diagnosis based on active learning with imbalanced data of dissolved gas in oil
    Pengfei Tang, Zhonghao Zhang, Jie Tong, Zhenyuan Ma, Tianhang Long, Can Huang, Zihao Qi · 2024 · Review of Scientific Instruments
66. Camera-LiDAR Inconsistency Analysis for Active Learning in Object Detection
    Esteban Rivera, Ana Clara Serra Do Nascimento, Markus Lienkamp · 2024 · IEEE Intelligent Vehicles Symposium
67. Quality control of immunofluorescence images using artificial intelligence
    Madhavi Dipak Andhari, Giulia Rinaldi, Pouya Nazari, Johanna Vets, Gautam Shankar, Nikolina Dubroja, Tessa Ostyn, Maxime Vanmechelen, Brecht Decraene, Alexandre Arnould et al. · 2024 · Cell Reports Physical Science
68. A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation
    Theofanis Ganitidis, Μαρία Αθανασίου, Konstantinos Mitsis, Konstantia Zarkogianni, Konstantina S. Nikita · 2025 · Journal of Medical Internet Research
69. Automated cell profiling in imaging flow cytometry with annotation-efficient learning
    Tianqi Hong, Meimei Peng, Younggy Kim, Herb E. Schellhorn, Qiyin Fang · 2024 · Optics & Laser Technology
70. A Deep Active Learning Framework for Crack Detection in Digital Images of Paintings
    Nicolas Nadisic, Yoann Arhant, Niels Vyncke, Sebastiaan Verplancke, Srđan Lazendić, Aleksandra Pižurica · 2024 · Procedia Structural Integrity
71. Looking outside the box with a pathology aware AI approach for analyzing OCT retinal images in Stargardt disease
    Parisa Khateri, Tiana Koottungal, Damon Wing Kee Wong, Rupert Wolfgang Strauss, Lucas Janeschitz‐Kriegl, Maximilian Pfau, Leopold F. Schmetterer, Hendrik P. N. Scholl · 2025 · Scientific Reports
72. Low Rank Learning for Offline Query Optimization
    Zixuan Yi, Yao Tian, Zachary G. Ives, Ryan Marcus · 2025 · Proceedings of the ACM on Management of Data
73. A combined informative and representative active learning approach for plankton taxa labeling
    Martin Lund Haug, Saad Aya, Annette Stahl · 2021 · International Conference on Digital Image Processing
74. Knowledge-driven Active Learning
    Gabriele Ciravegna, F. Precioso, Alessandro Betti, Kevin Mottin, M. Gori · 2021 · ECML/PKDD
75. Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery
    Francesco Folino, Gianluigi Folino A, Massimo Guarascio, Luigi Pontieri · 2022 · Lecture notes in computer science
76. IDPS Signature Classification Based on Active Learning With Partial Supervision From Network Security Experts
    Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada · 2022 · IEEE Access
77. A SHAP-based Active Learning Approach for Creating High-Quality Training Data
    Nailcan Kara, Yagiz Levent Gume, Umit Tigrak, Gokce Ezeroglu, Serdar Mola, Omer Burak Akgun, Arzucan Özgür · 2022 · IEEE International Conference on Big Data (BigData)
78. Hierarchical Active Learning With Qualitative Feedback on Regions
    Zhipeng Luo, Yazhou He, Yanbing Xue, Hongjun Wang, Miloš Hauskrecht, Tianrui Li · 2023 · IEEE Transactions on Human-Machine Systems
79. Semi-Supervised Active Learning for Radar based Object Classification Using Track Consistency
    Johannes Benz, Christian Weiss, Axel Acosta, Gor Hakobyan · 2023 · IEEE Radar Conference (RadarConf)
80. Beam Search Optimized Batch Bayesian Active Learning
    Jingyu Sun, Hong-Jie Zhai, Osamu Saisho, Susumu Takeuchi · 2023 · AAAI Conference on Artificial Intelligence
81. An Empirical Study on Active Learning for Multi-label Text Classification
    Mengqi Wang, Ming Liu · 2023 · Workshop on Insights from Negative Results in NLP (Insights)
82. An algorithmic approach to identification of gray areas: Analysis of sleep scoring expert ensemble non agreement areas using a multinomial mixture model
    Gabriel Jouan, Erna Sif Arnardóttir, Anna Sigríður Íslind, María Óskarsdóttir · 2023 · European Journal of Operational Research
83. Yoked learning in molecular data science
    Zhixiong Li, Yan Xiang, Yujing Wen, Daniel Reker · 2023 · Artificial Intelligence in the Life Sciences
84. Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization
    Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu · 2023 · Neural Networks
85. A study of deep active learning methods to reduce labelling efforts in biomedical relation extraction
    Charlotte Nachtegael, Jacopo De Stefani, Tom Lenaerts · 2023 · PLoS ONE
86. Feature Mixing-Based Active Learning for Multi-Label Text Classification
    Xue Han, Qing Wang, Yitong Wang, Jiahui Wang, Chao Deng, Junlan Feng · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
87. Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
    Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
88. Building a Fully-Automatized Active Learning Framework for the Semantic Segmentation of Geospatial 3D Point Clouds
    Michael Kölle, V. Walter, U. Sörgel · 2024 · PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science
89. Progressive Volume Distillation with Active Learning for Efficient NeRF Architecture Conversion
    Shuangkang Fang, Yufeng Wang, Yi Yang, Weixin Xu, Heng Wang, Wenrui Ding, Shuchang Zhou · 2026 · International Journal of Computer Vision
90. Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation
    Ankita Singh, Shayok Chakraborty · 2021 · International Joint Conference on Neural Networks (IJCNN)
91. A Novel Progressive Image Classification Method Based on Hierarchical Convolutional Neural Networks
    Cheng Li, Fei Miao, Gang Gao · 2021 · Electronics
92. Directions of Technical Innovation for Regulatable AI Systems
    Shen, Xudong, Brown, Hannah, Tao, Jiashu, Strobel, Martin, Tong, Yao, Narayan, Akshay, Soh, Harold, Doshi-Velez, Finale · 2024 · Communications of the ACM
93. Unsupervised selective labeling for semi-supervised industrial defect detection
    Jian Ge, Qin Qin, Shaojing Song, Jinhua Jiang, Zhiwei Shen · 2024 · Journal of King Saud University - Computer and Information Sciences
94. Enhancing random forest predictive performance for foot and mouth disease outbreaks in Uganda: a calibrated uncertainty prediction approach for varying distributions
    Geofrey Kapalaga, Florence N. Kivunike, Susan Diana Kerfua, Daudi Jjingo, Savino Biryomumaisho, Justus Rutaisire, Paul Ssajjakambwe, Swidiq Mugerwa, Seguya Abbey, Mulindwa H. Aaron et al. · 2024 · Frontiers in Artificial Intelligence
95. Towards Label-Efficient Deep Learning-Based Aging-Related Bug Prediction With Spiking Convolutional Neural Networks
    Yunzhe Tian, Yike Li, Kang Chen, Zhenguo Zhang, Endong Tong, Jiqiang Liu, Fangyun Qin, Zheng Zheng, Wenjia Niu · 2025 · IEEE Transactions on Emerging Topics in Computing
96. A Case Study: Physical Layer Security Analysis for Internet of Vehicle (IoV)
    Mosiur Rahaman, Sourasis Chattopadhyay, Nizirwan Anwar · 2025 · Advances in intelligent systems and computing
97. A continual active learning approach to adapt neural networks to distribution shifts in quality monitoring applications
    Johannes C. Bauer, Stephan Trattnig, Paul Geng, Tim Raffin, Rüdiger Daub · 2025 · The International Journal of Advanced Manufacturing Technology
98. BAL-SNN: balanced active learning for spiking neural networks
    Meiling Zhong, Chunyan She, Bingrui Xu, Qing Yang, Shukai Duan, Lidan Wang · 2025 · Knowledge-Based Systems
99. Instance-wise Supervision-level Optimization in Active Learning
    Shinnosuke Matsuo, Riku Togashi, R. Bise, Seiichi Uchida, Masahiro Nomura · 2025 · Computer Vision and Pattern Recognition
100. Ensemble and Hybrid Models in Automated Essay Scoring: A Literature Review
     Vidasha Ramnarain-Seetohul, Yasmine Z. Rosunally, Vandana Bassoo · 2025 · SN Computer Science