Статті в журналах з теми "Interpretable AI"
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Sathyan, Anoop, Abraham Itzhak Weinberg, and Kelly Cohen. "Interpretable AI for bio-medical applications." Complex Engineering Systems 2, no. 4 (2022): 18. http://dx.doi.org/10.20517/ces.2022.41.
Повний текст джерелаJia, Xun, Lei Ren, and Jing Cai. "Clinical implementation of AI technologies will require interpretable AI models." Medical Physics 47, no. 1 (November 19, 2019): 1–4. http://dx.doi.org/10.1002/mp.13891.
Повний текст джерелаXu, Wei, Jianshan Sun, and Mengxiang Li. "Guest editorial: Interpretable AI-enabled online behavior analytics." Internet Research 32, no. 2 (March 15, 2022): 401–5. http://dx.doi.org/10.1108/intr-04-2022-683.
Повний текст джерелаSkirzyński, Julian, Frederic Becker, and Falk Lieder. "Automatic discovery of interpretable planning strategies." Machine Learning 110, no. 9 (April 9, 2021): 2641–83. http://dx.doi.org/10.1007/s10994-021-05963-2.
Повний текст джерелаTomsett, Richard, Alun Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani Srivastava, Gavin Pearson, and Lance Kaplan. "Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI." Patterns 1, no. 4 (July 2020): 100049. http://dx.doi.org/10.1016/j.patter.2020.100049.
Повний текст джерелаHerzog, Christian. "On the risk of confusing interpretability with explicability." AI and Ethics 2, no. 1 (December 9, 2021): 219–25. http://dx.doi.org/10.1007/s43681-021-00121-9.
Повний текст джерелаSchmidt Nordmo, Tor-Arne, Ove Kvalsvik, Svein Ove Kvalsund, Birte Hansen, and Michael A. Riegler. "Fish AI." Nordic Machine Intelligence 2, no. 2 (June 2, 2022): 1–3. http://dx.doi.org/10.5617/nmi.9657.
Повний текст джерелаPark, Sungjoon, Akshat Singhal, Erica Silva, Jason F. Kreisberg, and Trey Ideker. "Abstract 1159: Predicting clinical drug responses using a few-shot learning-based interpretable AI." Cancer Research 82, no. 12_Supplement (June 15, 2022): 1159. http://dx.doi.org/10.1158/1538-7445.am2022-1159.
Повний текст джерелаBaşağaoğlu, Hakan, Debaditya Chakraborty, Cesar Do Lago, Lilianna Gutierrez, Mehmet Arif Şahinli, Marcio Giacomoni, Chad Furl, Ali Mirchi, Daniel Moriasi, and Sema Sevinç Şengör. "A Review on Interpretable and Explainable Artificial Intelligence in Hydroclimatic Applications." Water 14, no. 8 (April 11, 2022): 1230. http://dx.doi.org/10.3390/w14081230.
Повний текст джерелаDemajo, Lara Marie, Vince Vella, and Alexiei Dingli. "An Explanation Framework for Interpretable Credit Scoring." International Journal of Artificial Intelligence & Applications 12, no. 1 (January 31, 2021): 19–38. http://dx.doi.org/10.5121/ijaia.2021.12102.
Повний текст джерелаGhoshRoy, Debasmita, Parvez Ahmad Alvi, and KC Santosh. "Explainable AI to Predict Male Fertility Using Extreme Gradient Boosting Algorithm with SMOTE." Electronics 12, no. 1 (December 21, 2022): 15. http://dx.doi.org/10.3390/electronics12010015.
Повний текст джерелаDikshit, Abhirup, and Biswajeet Pradhan. "Interpretable and explainable AI (XAI) model for spatial drought prediction." Science of The Total Environment 801 (December 2021): 149797. http://dx.doi.org/10.1016/j.scitotenv.2021.149797.
Повний текст джерелаRampal, Neelesh, Tom Shand, Adam Wooler, and Christo Rautenbach. "Interpretable Deep Learning Applied to Rip Current Detection and Localization." Remote Sensing 14, no. 23 (November 29, 2022): 6048. http://dx.doi.org/10.3390/rs14236048.
Повний текст джерелаSolanke, Abiodun A. "Explainable digital forensics AI: Towards mitigating distrust in AI-based digital forensics analysis using interpretable models." Forensic Science International: Digital Investigation 42 (July 2022): 301403. http://dx.doi.org/10.1016/j.fsidi.2022.301403.
Повний текст джерелаEder, Matthias, Emanuel Moser, Andreas Holzinger, Claire Jean-Quartier, and Fleur Jeanquartier. "Interpretable Machine Learning with Brain Image and Survival Data." BioMedInformatics 2, no. 3 (September 6, 2022): 492–510. http://dx.doi.org/10.3390/biomedinformatics2030031.
Повний текст джерелаVishwarupe, Varad, Prachi M. Joshi, Nicole Mathias, Shrey Maheshwari, Shweta Mhaisalkar, and Vishal Pawar. "Explainable AI and Interpretable Machine Learning: A Case Study in Perspective." Procedia Computer Science 204 (2022): 869–76. http://dx.doi.org/10.1016/j.procs.2022.08.105.
Повний текст джерелаCombs, Kara, Mary Fendley, and Trevor Bihl. "A Preliminary Look at Heuristic Analysis for Assessing Artificial Intelligence Explainability." WSEAS TRANSACTIONS ON COMPUTER RESEARCH 8 (June 1, 2020): 61–72. http://dx.doi.org/10.37394/232018.2020.8.9.
Повний текст джерелаBelle, Vaishak. "The quest for interpretable and responsible artificial intelligence." Biochemist 41, no. 5 (October 18, 2019): 16–19. http://dx.doi.org/10.1042/bio04105016.
Повний текст джерелаCalegari, Roberta, Giovanni Ciatto, and Andrea Omicini. "On the integration of symbolic and sub-symbolic techniques for XAI: A survey." Intelligenza Artificiale 14, no. 1 (September 17, 2020): 7–32. http://dx.doi.org/10.3233/ia-190036.
Повний текст джерелаVasan Srinivasan, Aditya, and Mona de Boer. "Improving trust in data and algorithms in the medium of AI." Maandblad Voor Accountancy en Bedrijfseconomie 94, no. 3/4 (April 22, 2020): 147–60. http://dx.doi.org/10.5117/mab.94.49425.
Повний текст джерелаAlm, Cecilia O., and Alex Hedges. "Visualizing NLP in Undergraduate Students' Learning about Natural Language." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (May 18, 2021): 15480–88. http://dx.doi.org/10.1609/aaai.v35i17.17822.
Повний текст джерелаBaldini, Ioana, Clark Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani Gilpin, Knut Hinkelmann, et al. "Reports of the AAAI 2019 Spring Symposium Series." AI Magazine 40, no. 3 (September 30, 2019): 59–66. http://dx.doi.org/10.1609/aimag.v40i3.5181.
Повний текст джерелаHah, Hyeyoung, and Deana Goldin. "Moving toward AI-assisted decision-making: Observation on clinicians’ management of multimedia patient information in synchronous and asynchronous telehealth contexts." Health Informatics Journal 28, no. 1 (January 2022): 146045822210770. http://dx.doi.org/10.1177/14604582221077049.
Повний текст джерелаGómez, Blas, Estefanía Coronado, José Villalón, and Antonio Garrido. "Intelli-GATS: Dynamic Selection of the Wi-Fi Multicast Transmission Policy Using Interpretable-AI." Wireless Communications and Mobile Computing 2022 (November 30, 2022): 1–18. http://dx.doi.org/10.1155/2022/7922273.
Повний текст джерелаWeitz, Katharina, Teena Hassan, Ute Schmid, and Jens-Uwe Garbas. "Deep-learned faces of pain and emotions: Elucidating the differences of facial expressions with the help of explainable AI methods." tm - Technisches Messen 86, no. 7-8 (July 26, 2019): 404–12. http://dx.doi.org/10.1515/teme-2019-0024.
Повний текст джерелаFuhrman, Jordan D., Naveena Gorre, Qiyuan Hu, Hui Li, Issam El Naqa, and Maryellen L. Giger. "A review of explainable and interpretable AI with applications in COVID‐19 imaging." Medical Physics 49, no. 1 (December 7, 2021): 1–14. http://dx.doi.org/10.1002/mp.15359.
Повний текст джерелаSantala, Onni E., Jukka A. Lipponen, Helena Jäntti, Tuomas T. Rissanen, Mika P. Tarvainen, Tomi P. Laitinen, Tiina M. Laitinen, et al. "Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study." JMIR Cardio 6, no. 1 (June 21, 2022): e31230. http://dx.doi.org/10.2196/31230.
Повний текст джерелаCavallaro, Massimo, Ed Moran, Benjamin Collyer, Noel D. McCarthy, Christopher Green, and Matt J. Keeling. "Informing antimicrobial stewardship with explainable AI." PLOS Digital Health 2, no. 1 (January 5, 2023): e0000162. http://dx.doi.org/10.1371/journal.pdig.0000162.
Повний текст джерелаHijazi, Haytham, Manar Abu Talib, Ahmad Hasasneh, Ali Bou Nassif, Nafisa Ahmed, and Qassim Nasir. "Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19." Sensors 21, no. 24 (December 17, 2021): 8424. http://dx.doi.org/10.3390/s21248424.
Повний текст джерелаDe Sousa Ribeiro, Manuel, and João Leite. "Aligning Artificial Neural Networks and Ontologies towards Explainable AI." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 6 (May 18, 2021): 4932–40. http://dx.doi.org/10.1609/aaai.v35i6.16626.
Повний текст джерелаConnie, Tee, Yee Fan Tan, Michael Kah Ong Goh, Hock Woon Hon, Zulaikha Kadim, and Li Pei Wong. "Explainable health prediction from facial features with transfer learning." Journal of Intelligent & Fuzzy Systems 42, no. 3 (February 2, 2022): 2491–503. http://dx.doi.org/10.3233/jifs-211737.
Повний текст джерелаYao, Melissa Min-Szu, Hao Du, Mikael Hartman, Wing P. Chan, and Mengling Feng. "End-to-End Calcification Distribution Pattern Recognition for Mammograms: An Interpretable Approach with GNN." Diagnostics 12, no. 6 (June 2, 2022): 1376. http://dx.doi.org/10.3390/diagnostics12061376.
Повний текст джерелаNguyen Thu Hien, Nguyen Phuong Nhung, and Nguyen Tuan Linh. "Adaptive neuro-fuzzy inference system classifier with interpretability for cancer diagnostic." Journal of Military Science and Technology, CSCE6 (December 30, 2022): 56–64. http://dx.doi.org/10.54939/1859-1043.j.mst.csce6.2022.56-64.
Повний текст джерелаDas, Arun, Jeffrey Mock, Yufei Huang, Edward Golob, and Peyman Najafirad. "Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 818–26. http://dx.doi.org/10.1609/aaai.v35i1.16164.
Повний текст джерелаDe, Tanusree, Prasenjit Giri, Ahmeduvesh Mevawala, Ramyasri Nemani, and Arati Deo. "Explainable AI: A Hybrid Approach to Generate Human-Interpretable Explanation for Deep Learning Prediction." Procedia Computer Science 168 (2020): 40–48. http://dx.doi.org/10.1016/j.procs.2020.02.255.
Повний текст джерелаChao, Wenhan, Xin Jiang, Zhunchen Luo, Yakun Hu, and Wenjia Ma. "Interpretable Charge Prediction for Criminal Cases with Dynamic Rationale Attention." Journal of Artificial Intelligence Research 66 (November 25, 2019): 743–64. http://dx.doi.org/10.1613/jair.1.11377.
Повний текст джерелаQadir, Junaid, Mohammad Qamar Islam, and Ala Al-Fuqaha. "Toward accountable human-centered AI: rationale and promising directions." Journal of Information, Communication and Ethics in Society 20, no. 2 (February 10, 2022): 329–42. http://dx.doi.org/10.1108/jices-06-2021-0059.
Повний текст джерелаCervera-Lierta, Alba, Mario Krenn, and Alán Aspuru-Guzik. "Design of quantum optical experiments with logic artificial intelligence." Quantum 6 (October 13, 2022): 836. http://dx.doi.org/10.22331/q-2022-10-13-836.
Повний текст джерелаKitamura, Shinji, Kensaku Takahashi, Yizhen Sang, Kazuhiko Fukushima, Kenji Tsuji, and Jun Wada. "Deep Learning Could Diagnose Diabetic Nephropathy with Renal Pathological Immunofluorescent Images." Diagnostics 10, no. 7 (July 9, 2020): 466. http://dx.doi.org/10.3390/diagnostics10070466.
Повний текст джерелаMakridis, Christos, Seth Hurley, Mary Klote, and Gil Alterovitz. "Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans." JMIR Medical Informatics 9, no. 6 (June 2, 2021): e28921. http://dx.doi.org/10.2196/28921.
Повний текст джерелаRoopaei*, Mehdi, Hunter Durian, and Joey Godiska. "Explainable AI in Internet of Control System Distributed at Edge-Cloud Architecture." International Journal of Engineering and Advanced Technology 10, no. 3 (February 28, 2021): 136–42. http://dx.doi.org/10.35940/ijeat.c2246.0210321.
Повний текст джерелаMartens, Harald. "Interpretable machine learning with an eye for the physics: Hyperspectral Vis/NIR “video” of drying wood analyzed by hybrid subspace modeling." NIR news 32, no. 7-8 (November 25, 2021): 24–32. http://dx.doi.org/10.1177/09603360211062706.
Повний текст джерелаMarten, Dennis, Carsten Hilgenfeld, and Andreas Heuer. "Scalable In-Database Machine Learning for the Prediction of Port-to-Port Routes." Journal für Mobilität und Verkehr, no. 6 (November 10, 2020): 2–10. http://dx.doi.org/10.34647/jmv.nr6.id42.
Повний текст джерелаZhang, Quan, Qian Du, and Guohua Liu. "A whole-process interpretable and multi-modal deep reinforcement learning for diagnosis and analysis of Alzheimer’s disease ∗." Journal of Neural Engineering 18, no. 6 (December 1, 2021): 066032. http://dx.doi.org/10.1088/1741-2552/ac37cc.
Повний текст джерелаSucipto, Kathleen, Archit Khosla, Michael Drage, Yilan Wang, Darren Fahy, Mary Lin, Murray Resnick, et al. "QUANTITATIVE AND EXPLAINABLE ARTIFICIAL INTELLIGENCE (AI)-POWERED APPROACHES TO PREDICT ULCERATIVE COLITIS DISEASE ACTIVITY FROM HEMATOXYLIN AND EOSIN (H&E)-STAINED WHOLE SLIDE IMAGES (WSI)." Inflammatory Bowel Diseases 29, Supplement_1 (January 26, 2023): S22—S23. http://dx.doi.org/10.1093/ibd/izac247.042.
Повний текст джерелаSilva, Vivian S., André Freitas, and Siegfried Handschuh. "Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7023–30. http://dx.doi.org/10.1609/aaai.v33i01.33017023.
Повний текст джерелаWang, Yue, and Sai Ho Chung. "Artificial intelligence in safety-critical systems: a systematic review." Industrial Management & Data Systems 122, no. 2 (December 7, 2021): 442–70. http://dx.doi.org/10.1108/imds-07-2021-0419.
Повний текст джерелаThrun, Michael C., Alfred Ultsch, and Lutz Breuer. "Explainable AI Framework for Multivariate Hydrochemical Time Series." Machine Learning and Knowledge Extraction 3, no. 1 (February 4, 2021): 170–204. http://dx.doi.org/10.3390/make3010009.
Повний текст джерелаNeto, Pedro C., Sara P. Oliveira, Diana Montezuma, João Fraga, Ana Monteiro, Liliana Ribeiro, Sofia Gonçalves, Isabel M. Pinto, and Jaime S. Cardoso. "iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images." Cancers 14, no. 10 (May 18, 2022): 2489. http://dx.doi.org/10.3390/cancers14102489.
Повний текст джерелаHaupt, Sue Ellen, William Chapman, Samantha V. Adams, Charlie Kirkwood, J. Scott Hosking, Niall H. Robinson, Sebastian Lerch, and Aneesh C. Subramanian. "Towards implementing artificial intelligence post-processing in weather and climate: proposed actions from the Oxford 2019 workshop." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, no. 2194 (February 15, 2021): 20200091. http://dx.doi.org/10.1098/rsta.2020.0091.
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