A Survey of Deep Active Learning

Ren, Pengzhen, Xiao, Yun, Chang, Xiaojun, Huang, Po-Yao, Li, Zhihui, Gupta, Brij B., Chen, Xiaojiang, Wang, Xin·2022·ACM Computing Surveys
DOI 10.1145/3472291

Cited by (1,006)

Items 201–300 of 1,006

  1. Active Learning for Single-Stage Object Detection in UAV Images
    Asma Z. Yamani, Albandari Alyami, Hamzah Luqman, Bernard Ghanem, Silvio Giancola · 2024 · IEEE Workshop/Winter Conference on Applications of Computer Vision
  2. Sequential Optimal Experimental Design of Perturbation Screens Guided by Multi-modal Priors
    Kexin Huang, Romain Lopez, Jan-Christian Hütter, Takamasa Kudo, Antonio Rios, Aviv Regev · 2024 · Lecture notes in computer science
  3. CFD-ML: Stream-based active learning of computational fluid dynamics simulations for efficient product design
    Youngjae Bae, Kyunghye Nam, Seokho Kang · 2024 · Computers in Industry
  4. Active Generalized Category Discovery
    Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Chenglin Liu · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  5. Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation
    Sudhanshu Mittal, J. Niemeijer, Özgün Çiçek, Maxim Tatarchenko, J. Ehrhardt, J. P. Schäfer, Heinz Handels, Thomas Brox · 2025 · International Journal of Computer Vision
  6. AI Design for High Entropy Alloys: Progress, Challenges and Future Prospects
    Enzhi Xie, Chao Yang · 2025 · Metals
  7. Data Shapley Valuation for Efficient Batch Active Learning
    Amirata Ghorbani, James Y. Zou, A. Esteva · 2021 · Asilomar Conference on Signals, Systems and Computers
  8. Towards Exploring the Limitations of Active Learning: An Empirical Study
    Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon · 2021 · IEEE/ACM International Conference on Automated Software Engineering (ASE)
  9. Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence
    Young Sin Ko, Yoo Mi Choi, Mujin Kim, Youngjin Park, Murtaza Ashraf, Willmer Rafell Quiñones Robles, Minju Kim, Jiwook Jang, Seokju Yun, Yuri Hwang et al. · 2022 · PLoS ONE
  10. Multiclass autoencoder-based active learning for sensor-based human activity recognition
    Hyunseo Park, Gyeong Ho Lee, Jaeseob Han, Jun Kyun Choi · 2023 · Future Generation Computer Systems
  11. Evidential Uncertainty Quantification: A Variance-Based Perspective
    Ruxiao Duan, Brian S. Caffo, Harrison Xiao Bai, Haris Iqbal Sair, Craig K. Jones · 2024 · IEEE Winter Conference on Applications of Computer Vision
  12. Development of a Natural Language Processing (NLP) model to automatically extract clinical data from electronic health records: results from an Italian comprehensive stroke center
    Davide Badalotti, Akanksha Agrawal, Umberto Pensato, Giovanni Angelotti, Simona Marcheselli · 2024 · International Journal of Medical Informatics
  13. Machine-learning-accelerated multi-objective design of fractured geothermal systems
    Guodong Chen, Jiu Jimmy Jiao, Qiqi Liu, Zhongzheng Wang, Yaochu Jin · 2024 · Nexus
  14. Modern Deep Learning Techniques for Big Medical Data Processing in Cloud
    Mohammed Y. Shakor, Mustafa Ibrahim Khaleel · 2025 · IEEE Access
  15. Deep Active Learning Framework for Lymph Node Metastasis Prediction in Medical Support System
    Qinghe Zhuang, Zhehao Dai, Jia Wu · 2022 · Computational Intelligence and Neuroscience
  16. Self-supervised Assisted Active Learning for Skin Lesion Segmentation
    Ziyuan Zhao, Wenjing Lü, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan · 2022 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  17. A robust myocardial infarction localization system based on multi-branch residual shrinkage network and active learning with clustering
    Ziyang He, Shuaiying Yuan, Jianhui Zhao, Zhiyong Yuan, Yufei Andy Chen · 2022 · Biomedical Signal Processing and Control
  18. From Known to Unknown
    Jiaqian Ren, Lei Jiang, Hao Ming Peng, Yuwei Cao, Jia Xin Wu, Philip S. Yu, Lifang He · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
  19. SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning
    Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba · 2022 · Expert Systems with Applications
  20. How Do Citizens View Digital Government Services? Study on Digital Government Service Quality Based on Citizen Feedback
    Xin Ye, Xiaoyan Su, Zhijun Yao, Lu-an Dong, Qiang Lin, Shuo Yu · 2023 · Mathematics
  21. Deep Active Learning for Multi-Label Classification of Remote Sensing Images
    Lars Möllenbrok, Gencer Sümbül, Begüm Demir · 2023 · IEEE Geoscience and Remote Sensing Letters
  22. Cost-Efficient Vehicular Crowdsensing Based on Implicit Relation Aware Graph Attention Networks
    Jie Huo, Luhan Wang, Xiangming Wen, David Gesbert, Zhaoming Lu · 2023 · IEEE Transactions on Industrial Informatics
  23. New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
    Guoqiang Liang, Zhaojie Chen, Zhaoqiang Chen, Shiyu Ji, Yanning Zhang · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
  24. BDAL: Balanced Distribution Active Learning for MRI Cardiac Multistructures Segmentation
    Xiu Shu, Yunyun Yang, Jun Liu, Xiaojun Chang, Boying Wu · 2023 · IEEE Transactions on Industrial Informatics
  25. XR5.0: Human-Centric AI-Enabled Extended Reality Applications for Industry 5.0
    Athanasios Kiourtis, Argyro Mavrogiorgou, Georgios Makridis, Dimosthenis Kyriazis, John K. Soldatos, Georgios Fatouros, Dimitris Ntalaperas, Xanthi S. Papageorgiou, Bruno Almeida, Joana Guedes et al. · 2024 · Conference of Open Innovations Association (FRUCT)
  26. Gas-Bearing Prediction of Tight Sandstone Reservoir Using Semi-Supervised Learning and Transfer Learning
    Zhaohui Song, Shenghuang Li, He Su-Mei, Sanyi Yuan, Shangxu Wang · 2022 · IEEE Geoscience and Remote Sensing Letters
  27. QBox: Partial Transfer Learning With Active Querying for Object Detection
    Tang, Ying-Peng, Wei, Xiu-Shen, Zhao, Borui, Huang, Sheng-Jun · 2023 · IEEE Transactions on Neural Networks and Learning Systems
  28. AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning
    Duan, Chiming, Jia, Tong, Cai, Huaqian, Li, Ying, Huang, Gang · 2023 · 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)
  29. Ten Years of Active Learning Techniques and Object Detection: A Systematic Review
    Garcia, Dibet, Carias, João, Adão, Telmo, Jesus, Rui, Cunha, Antonio, Magalhães, Luis G. · 2023 · Applied Sciences
  30. Robust detection framework for adversarial threats in Autonomous Vehicle Platooning
    Stephanie Ness · 2025 · Frontiers in Big Data
  31. Active multitask learning with uncertainty‐weighted loss for coronary calcium scoring
    Bernhard Föllmer, Federico Biavati, Christian Wald, Sebastian Stober, Jackie Ma, Marc Dewey, Wojciech Samek · 2022 · Medical Physics
  32. Graph-Based Active Learning With Uncertainty and Representativeness for Industrial Anomaly Detection
    Kanhong Xiao, Jiangzhong Cao, Zekai Zeng, Bingo Wing‐Kuen Ling · 2023 · IEEE Transactions on Instrumentation and Measurement
  33. A Survey of Dataset Refinement for Problems in Computer Vision Datasets
    Zhijing Wan, Zhixiang Wang, Cheukting Chung, Zheng Wang · 2023 · ACM Computing Surveys
  34. A Metal Classification System Based on Eddy Current Testing and Deep Learning
    Bangda Cao, Zhijie Zhang, Wuliang Yin, Dong Wang, Zexue Zhang · 2023 · IEEE Sensors Journal
  35. Knowledge Distillation and Training Balance for Heterogeneous Decentralized Multi-Modal Learning Over Wireless Networks
    Benshun Yin, Zhiyong Chen, Meixia Tao · 2024 · IEEE Transactions on Mobile Computing
  36. Active Learning for Data Quality Control: A Survey
    Na Li, Yi-Yang Qi, Chao-Ran Li, Zhi-Ming Zhao · 2024 · ACM Journal of Data and Information Quality
  37. Personalized origin–destination travel time estimation with active adversarial inverse reinforcement learning and Transformer
    Shan Liu, Ya Zhang, Zhengli Wang, Xiang Liu, Hai Yang · 2024 · Transportation Research Part E Logistics and Transportation Review
  38. Self-supervised learning via VICReg enables training of EMG pattern recognition using continuous data with unclear labels
    Shriram Tallam Puranam Raghu, Dawn MacIsaac, Erik Scheme · 2024 · Computers in Biology and Medicine
  39. Data leakage detection in machine learning code: transfer learning, active learning, or low-shot prompting?
    Nouf Alturayeif, Jameleddine Hassine · 2025 · PeerJ Computer Science
  40. IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes
    Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian, Manmohan Krishna Chandraker, C. V. Jawahar · 2023 · IEEE Winter Conference on Applications of Computer Vision
  41. Deep active learning for misinformation detection using geometric deep learning
    Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri · 2023 · Online Social Networks and Media
  42. A Comparative Study on Methods for Fusing Data-Driven and Physics-Based Models for Hybrid Remaining Useful Life Prediction of Air Filters
    Simon Hagmeyer, Peter Zeiler · 2023 · IEEE Access
  43. Pre-clustering active learning method for automatic classification of building structures in urban areas
    Pengcheng Zhou, T. Zhang, Li-Wen Zhao, Yifan Qi, Yunchi Chang, Lu Bai · 2023 · Engineering applications of artificial intelligence
  44. Deep active-learning based model-synchronization of digital manufacturing stations using human-in-the-loop simulation
    Clint Alex Steed, Namhun Kim · 2023 · Journal of Manufacturing Systems
  45. Active Learning with AraGPT2 for Arabic Named Entity Recognition
    Hassen Mahdhaoui, Abdelkarim Mars, Mounir Zrigui · 2023 · Communications in computer and information science
  46. Distribution System Flexibility Characterization: A Network-Informed Data-Driven Approach
    Qi Li, Jianzhe Liu, Bai Cui, Wen‐Zhan Song, Jin Ye · 2023 · IEEE Transactions on Smart Grid
  47. Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles
    Lorenzo Zanisi, A. Ho, J. Barr, T. Madula, J. Citrin, Stanislas J. P. Pamela, J. Buchanan, F. J. Casson, Vignesh Gopakumar, JET Contributors · 2024 · Nuclear Fusion
  48. Combining Group Contribution Method and Semisupervised Learning to Build Machine Learning Models for Predicting Hydroxyl Radical Rate Constants of Water Contaminants
    Zhao Liu, Lanyu Shang, Kuan Z. Huang, Zhenrui Yue, Alan Y. Han, Dong Wang, Huichun Judy Zhang · 2024 · Environmental Science & Technology
  49. An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
    Biao Gao, Xijun Zhao, Huijing Zhao · 2022 · IEEE Transactions on Intelligent Transportation Systems
  50. Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting
    Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  51. Human in the AI Loop via xAI and Active Learning for Visual Inspection
    Rožanec, Jože M., Montini, Elias, Cutrona, Vincenzo, Papamartzivanos, Dimitrios, Klemenčič, Timotej, Fortuna, Blaž, Mladenić, Dunja, Veliou, Entso, Giannetsos, Thanassis, Emmanouilidis, Christos · 2024 · Artificial Intelligence in Manufacturing
  52. Active Prompt Learning in Vision Language Models
    Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  53. Partial annotations in active learning for semantic segmentation
    Bryan German Pantoja-Rosero, Adrien G. J. Chassignet, Amir Hossein Rezaie, Mateusz Koziński, Radhakrishna Achanta, Katrin Beyer · 2024 · Automation in Construction
  54. PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context
    Zhong, Guojie, Zhao, Yige, Zhuang, Demi, Chung, Wendy K., Shen, Yufeng · 2025 · Nature Communications
  55. scSemiAE: a deep model with semi-supervised learning for single-cell transcriptomics
    Jiayi Dong, Yin Zhang⋆, Fei Wang · 2022 · BMC Bioinformatics
  56. Suggestive Data Annotation for CNN-Based Building Footprint Mapping Based on Deep Active Learning and Landscape Metrics
    Zhichao Li, Shuai Zhang, Jinwei Dong · 2022 · Remote Sensing
  57. Mapping out the thermodynamic stability of a QCD equation of state with a critical point using active learning
    Débora Mroczek, Morten Hjorth-Jensen, Jacquelyn Noronha-Hostler, Paolo Parotto, Claudia Ratti, Ricardo Vilalta · 2023 · Physical Review C
  58. A study of engine room smoke detection based on proactive machine vision model for intelligent ship
    Peng Zhang, Zhimin Song, Chaozhe Li, Yunzhi Liu, Yongjiu Zou, Yuewen Zhang, Peiting Sun · 2023 · Expert Systems with Applications
  59. A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering
    Rafael Castro-Amoedo, Julia Granacher, Francois M. A. Marechal · 2023 · Computers & Chemical Engineering
  60. Review of reinforcement learning applications in segmentation, chemotherapy, and radiotherapy of cancer
    Rishi Khajuria, Abid Sarwar · 2023 · Micron
  61. Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection
    Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Mahsa Baktashmotlagh, Zi Helen Huang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  62. Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models
    Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari · 2024 · SN Computer Science
  63. A Review and a Perspective of Deep Active Learning for Remote Sensing Image Analysis: Enhanced adaptation to user conjecture
    Omid Ghozatlou, Mihai P. Datcu, Adrian Focșa, Miguel Heredia Conde, Silvia Liberata Ullo · 2024 · IEEE Geoscience and Remote Sensing Magazine
  64. Active learning for efficient data-driven aerodynamic modeling in spaceplane design
    Hao Zhang, Wei Huang, Yang Shen, Dayu Xu, Yaobin Niu · 2024 · Physics of Fluids
  65. Meta-Active Learning in Probabilistically Safe Optimization
    Mariah Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert E. Gross, Matthew Gombolay · 2022 · IEEE Robotics and Automation Letters
  66. Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains
    Hamidreza Kasaei, Mohammadreza Kasaei, Georgios Tziafas, Sha Luo, Remo Sasso · 2024 · Journal of Intelligent & Robotic Systems
  67. Improving question answering performance using knowledge distillation and active learning
    Yasaman Boreshban, Seyed Morteza Mirbostani, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel, Shahin Amiriparian · 2023 · Engineering Applications of Artificial Intelligence
  68. Cluster and Scatter: A Multi-grained Active Semi-supervised Learning Framework for Scalable Person Re-identification
    Bingyu Hu, Zheng-Jun Zha, Jiawei Liu, Xierong Zhu, Hongtao Xie · 2021 · ACM International Conference on Multimedia (ACM MM)
  69. Robust online active learning
    Davide Cacciarelli, Murat Külahçı, John Tyssedal · 2023 · Quality and Reliability Engineering International
  70. EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection
    Chiming Duan, Tong Jia, Yong Yang, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li, Gang Huang · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  71. A novel active learning stochastic Kriging metamodel for improving reliability and stability of additive manufacturing processes
    Chunfeng Ding, Jianjun Wang, Suying Zhang, Shijuan Yang, Yizhong Ma · 2025 · Reliability Engineering & System Safety
  72. Inverse design of non-parametric acoustic metamaterials via transfer-learned dual variational autoencoder with latent space-based data augmentation
    Keon Ko, Min Woo Cho, Kyungjun Song, Dong Yong Park, Sang Min Park · 2025 · Engineering Applications of Artificial Intelligence
  73. Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification
    Jing Gao, Tilo Burghardt, Neill Campbell · 2022 · Lecture notes in computer science
  74. Deep Active Learning for Automatic Mitotic Cell Detection on HEp-2 Specimen Medical Images
    Asaad Anaam, Mugahed A. Al–antari, Jamil Hussain, Nagwan M. Abdel Samee, Maali Ibrahim Alabdulhafith, Akio Gofuku · 2023 · Diagnostics
  75. CHRISTIAN EDUCATION TEACHER AS FACILITATOR BASED ON CONSTRUCTIVE SANCTIONS: A CASE STUDY AT JUNIOR HIGH SCHOOL 7 PALANGKA RAYA
    Nanda Monica · 2023 · Journal on Research and Review of Educational Innovation
  76. Efficient 3D Scene Semantic Segmentation via Active Learning on Rendered 2D Images
    Mengqi Rong, Hainan Cui, Shuhan Shen · 2023 · IEEE Transactions on Image Processing
  77. A systematic literature review on AutoML for multi-target learning tasks
    Aline Marques Del Valle, Rafael Gomes Mantovani, Ricardo Cerri · 2023 · Artificial Intelligence Review
  78. AI-assisted analysis of content, structure, and sentiment in MOOC discussion forums
    Michael Yee, Anindya Roy, Meghan Perdue, Consuelo Cuevas, Keegan Quigley, Ana Bell, Ahaan Rungta, Shigeru Miyagawa · 2023 · Frontiers in Education
  79. Extracting Clinical Information From Japanese Radiology Reports Using a 2-Stage Deep Learning Approach: Algorithm Development and Validation
    Kento Sugimoto, Shoya Wada, Shozo Konishi, Katsuki Okada, Shiro Manabe, Yasushi Matsumura, Toshihiro Takeda · 2023 · JMIR Medical Informatics
  80. Sharenting and social media properties: Exploring vicarious data harms and sociotechnical mitigations
    Pamela Ugwudike, Silke Roth, Anita Lavorgna, Stuart E. Middleton, Natalie Djohari, Morena Tartari, Arpan Mandal · 2024 · Big Data & Society
  81. Local Context-Aware Active Domain Adaptation
    Tao Sun, Cheng Youn Lu, Haibin Ling · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  82. Breaking the Barrier: Selective Uncertainty-Based Active Learning for Medical Image Segmentation
    Siteng Ma, Haochang Wu, Aonghus Lawlor, Ruihai Dong · 2024 · IEEE International Conference on Acoustics, Speech, and Signal Processing
  83. Deep Neural Operator Enabled Concurrent Multitask Design for Multifunctional Metamaterials Under Heterogeneous Fields
    Doksoo Lee, Lu Zhang, Yue Yu, Wei Chen · 2024 · Advanced Optical Materials
  84. A novel Bayesian deep learning method for fast wake field prediction of the DARPA SUBOFF
    Xinyu Xie, Pu Zhao, Chao Bian, Linsheng Xia, Jiaqi Ding, Xiaofang Wang, Haitao Liu · 2024 · Applied Ocean Research
  85. Generative models struggle with kirigami metamaterials
    Gerrit Felsch, Viacheslav Slesarenko · 2024 · Scientific Reports
  86. Exploring Spatial Diversity for Region-Based Active Learning
    Li-Le Cai, Xun Xu, Li-Ning Zhang, Chuan-Sheng Foo · 2021 · IEEE Transactions on Image Processing
  87. HCDC-SRCF tracker: Learning an adaptively multi-feature fuse tracker in spatial regularized correlation filters framework
    Bing Liu, Xiaojun Chang, Di Yuan, Yong Yang · 2021 · Knowledge-Based Systems
  88. Cooperative Learning for Personalized Context-Aware Pain Assessment From Wearable Data
    Md Taufeeq Uddin, Ghada Zamzmi, Shaun J. Canavan · 2023 · IEEE Journal of Biomedical and Health Informatics
  89. Learning From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification
    Wentao Hu, Lianglun Cheng, Guoheng Huang, Xiaochen Yuan, Guo Zhong, Chi‐Man Pun, Jian Zhou, Muyan Cai · 2023 · IEEE Transactions on Medical Imaging
  90. VARIQuery: VAE Segment-Based Active Learning for Query Selection in Preference-Based Reinforcement Learning
    Daniel Marta, Simon Holk, Christian Pek, Jana Tůmová, Iolanda Leite · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  91. AugSteal: Advancing Model Steal With Data Augmentation in Active Learning Frameworks
    Lijun Gao, Wenjun Liu, Kai Liu, Jiehong Wu · 2024 · IEEE Transactions on Information Forensics and Security
  92. Active learning-assisted multi-fidelity surrogate modeling based on geometric transformation
    Chunlong Hai, Weiqi Qian, Wenzheng Wang, Liquan Mei · 2024 · Computer Methods in Applied Mechanics and Engineering
  93. Bag of words and embedding text representation methods for medical article classification
    Paweł Cichosz · 2023 · International Journal of Applied Mathematics and Computer Science
  94. Biofouling detection and classification in Tidal Stream Turbines through soft voting ensemble transfer learning of video images
    Haroon Rashid, Mohamed Benbouzid, Yassine Amirat, Tarek Berghout, Hosna Titah-Benbouzid, Abdeslam Mamoune · 2024 · Engineering Applications of Artificial Intelligence
  95. Surrogate-assisted constraint-handling technique for parametric multi-objective optimization
    Ying-Kuan Tsai, R. Malak · 2024 · Structural And Multidisciplinary Optimization
  96. Ask Less, Learn More: Adapting Ecological Momentary Assessment Survey Length by Modeling Question-Answer Information Gain
    Jixin Li, Aditya Ponnada, Weilin Wang, Genevieve Fridlund Dunton, Stephen Sean Intille · 2024 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  97. Revolutionizing supramolecular materials design with artificial intelligence
    Haoqi Zhu, Zhongyi Wang, Luofei Li, Liang Dong, Ying Li, Bin Xue, Yi Cao · 2024 · Supramolecular Materials
  98. AutoML based workflow for design of experiments (DOE) selection and benchmarking data acquisition strategies with simulation models
    Xukuan Xu, Donghui Li, Jinghou Bi, Michael Moeckel · 2024 · Scientific Reports
  99. Deep learning methods for autonomous driving scene understanding tasks: A review
    Mehwish Awan, Taeg Keun Whangbo, Jitae Shin · 2025 · Expert Systems with Applications
  100. Imbalanced Chemical Process Fault Diagnosis Using Balancing GAN With Active Sample Selection
    Peng Peng, Hanrong Zhang, Xinyue Wang, Wanqiu Huang, Hongwei Wang · 2023 · IEEE Sensors Journal