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For: Holzinger A, Dehmer M, Emmert-streib F, Cucchiara R, Augenstein I, Ser JD, Samek W, Jurisica I, Díaz-rodríguez N. Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Information Fusion 2022;79:263-78. [DOI: 10.1016/j.inffus.2021.10.007] [Cited by in Crossref: 17] [Cited by in F6Publishing: 15] [Article Influence: 17.0] [Reference Citation Analysis]
Number Citing Articles
1 Valerio Guarrasi, Paolo Soda. Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes. Comput Biol Med 2023;154. [ DOI: 10.1016/j.compbiomed.2023.106625] [Reference Citation Analysis]
2 Zhang W, Lu F, Zhao W, Hu Y, Su H, Yuan M. ACCPG-Net: A skin lesion segmentation network with Adaptive Channel-Context-Aware Pyramid Attention and Global Feature Fusion. Comput Biol Med 2023;154:106580. [PMID: 36716686 DOI: 10.1016/j.compbiomed.2023.106580] [Reference Citation Analysis]
3 Fuchs A, Passarella A, Conti M. Modeling, Replicating, and Predicting Human Behavior: A Survey. ACM Trans Auton Adapt Syst 2023. [DOI: 10.1145/3580492] [Reference Citation Analysis]
4 Shen Z, Cao P, Yang J, Zaiane OR. WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network. Comput Biol Med 2023;154:106587. [PMID: 36709519 DOI: 10.1016/j.compbiomed.2023.106587] [Reference Citation Analysis]
5 Wang H, Li Z, Xing L, Chong KKL, Zhou X, Wang F, Zhou J, Li Z. A Bibliographic Study of Macular Fovea Detection: AI-Based Methods, Applications, and Issues. Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022) 2023. [DOI: 10.1007/978-981-19-7184-6_24] [Reference Citation Analysis]
6 Lee C, Cha K. FAT-CAT—Explainability and augmentation for an AI system: A case study on AI recruitment-system adoption. International Journal of Human-Computer Studies 2023;171:102976. [DOI: 10.1016/j.ijhcs.2022.102976] [Reference Citation Analysis]
7 Prabakar D, Sundarrajan M, Prasath Alias Surendhar S, Ramachandran M, Gupta D. Trust Model Based Data Fusion in Explainable Artificial Intelligence for Edge Computing Using Secure Sequential Discriminant Auto Encoder with Lightweight Optimization Algorithm. Explainable Edge AI: A Futuristic Computing Perspective 2023. [DOI: 10.1007/978-3-031-18292-1_9] [Reference Citation Analysis]
8 Dong C, Dai D, Zhang Y, Zhang C, Li Z, Xu S. Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification. Comput Biol Med 2023;152:106321. [PMID: 36463792 DOI: 10.1016/j.compbiomed.2022.106321] [Reference Citation Analysis]
9 Davide Chicco, Luca Oneto, Erica Tavazzi. Eleven quick tips for data cleaning and feature engineering. PLoS Comput Biol 2022;18:e1010718. [PMID: 36520712 DOI: 10.1371/journal.pcbi.1010718] [Reference Citation Analysis]
10 Holst C, Lohweg V. Scarce Data in Intelligent Technical Systems: Causes, Characteristics, and Implications. Sci 2022;4:49. [DOI: 10.3390/sci4040049] [Reference Citation Analysis]
11 Herm L, Steinbach T, Wanner J, Janiesch C. A nascent design theory for explainable intelligent systems. Electron Markets 2022. [DOI: 10.1007/s12525-022-00606-3] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
12 Gomez C, Unberath M, Huang C. Mitigating knowledge imbalance in AI-advised decision-making through collaborative user involvement. International Journal of Human-Computer Studies 2022. [DOI: 10.1016/j.ijhcs.2022.102977] [Reference Citation Analysis]
13 Wysocki O, Davies JK, Vigo M, Armstrong AC, Landers D, Lee R, Freitas A. Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making. Artificial Intelligence 2022. [DOI: 10.1016/j.artint.2022.103839] [Reference Citation Analysis]
14 Rahim N, El-sappagh S, Ali S, Muhammad K, Del Ser J, Abuhmed T. Prediction of Alzheimer's Progression based on Multimodal Deep-Learning-based Fusion and Visual Explainability of Time-Series Data. Information Fusion 2022. [DOI: 10.1016/j.inffus.2022.11.028] [Reference Citation Analysis]
15 Ding W, Abdel-basset M, Hawash H, Ali AM. Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey. Information Sciences 2022;615:238-292. [DOI: 10.1016/j.ins.2022.10.013] [Reference Citation Analysis]
16 Zhong X, Zhang H, Li G, Ji D. Do you need sharpened details? Asking MMDC-Net: Multi-layer multi-scale dilated convolution network for retinal vessel segmentation. Computers in Biology and Medicine 2022;150:106198. [DOI: 10.1016/j.compbiomed.2022.106198] [Reference Citation Analysis]
17 Jiang Y, Ding X, Liu D, Gui X, Zhang W, Zhang W. Designing intelligent self-checkup based technologies for everyday healthy living. International Journal of Human-Computer Studies 2022;166:102866. [DOI: 10.1016/j.ijhcs.2022.102866] [Reference Citation Analysis]
18 Rasheed K, Qayyum A, Ghaly M, Al-Fuqaha A, Razi A, Qadir J. Explainable, trustworthy, and ethical machine learning for healthcare: A survey. Comput Biol Med 2022;149:106043. [PMID: 36115302 DOI: 10.1016/j.compbiomed.2022.106043] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Pfeifer B, Saranti A, Holzinger A. GNN-SubNet: disease subnetwork detection with explainable graph neural networks. Bioinformatics 2022;38:ii120-6. [PMID: 36124793 DOI: 10.1093/bioinformatics/btac478] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
20 Lang X, Feng Z, Yang X, Xu T. HMMCF:A Human-Computer Collaboration Algorithm Based on Multimodal Intention of Reverse Active Fusion. International Journal of Human-Computer Studies 2022. [DOI: 10.1016/j.ijhcs.2022.102916] [Reference Citation Analysis]
21 Linardos V, Drakaki M, Tzionas P, Karnavas YL. Machine Learning in Disaster Management: Recent Developments in Methods and Applications. MAKE 2022;4:446-73. [DOI: 10.3390/make4020020] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
22 Vuong Q, Le T, La V, Nguyen M. The psychological mechanism of internet information processing for post-treatment evaluation. Heliyon 2022;8:e09351. [DOI: 10.1016/j.heliyon.2022.e09351] [Cited by in Crossref: 8] [Cited by in F6Publishing: 13] [Article Influence: 8.0] [Reference Citation Analysis]
23 Listyalina L, Utari EL, Puspaningtyas DE, Dharmawan DA. Fovea and Diabetic Retinopathy: Understanding the Relationship Using a Deep Interpretable Classifier. Computer Methods and Programs in Biomedicine Update 2022. [DOI: 10.1016/j.cmpbup.2022.100059] [Reference Citation Analysis]
24 Miller T, Hoffman R, Amir O, Holzinger A. Special Issue on Explainable Artificial Intelligence (XAI). Artificial Intelligence 2022. [DOI: 10.1016/j.artint.2022.103705] [Reference Citation Analysis]
25 Holzinger A, Goebel R, Fong R, Moon T, Müller K, Samek W. xxAI - Beyond Explainable Artificial Intelligence. xxAI - Beyond Explainable AI 2022. [DOI: 10.1007/978-3-031-04083-2_1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
26 Angerschmid A, Theuermann K, Holzinger A, Chen F, Zhou J. Effects of Fairness and Explanation on Trust in Ethical AI. Lecture Notes in Computer Science 2022. [DOI: 10.1007/978-3-031-14463-9_4] [Reference Citation Analysis]
27 Nan Y, Ser JD, Walsh S, Schönlieb C, Roberts M, Selby I, Howard K, Owen J, Neville J, Guiot J, Ernst B, Pastor A, Alberich-bayarri A, Menzel MI, Walsh S, Vos W, Flerin N, Charbonnier J, van Rikxoort E, Chatterjee A, Woodruff H, Lambin P, Cerdá-alberich L, Martí-bonmatí L, Herrera F, Yang G. Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. Information Fusion 2022. [DOI: 10.1016/j.inffus.2022.01.001] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 13.0] [Reference Citation Analysis]