{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T19:18:24Z","timestamp":1735586304644},"reference-count":63,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["20720220076"],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013076","name":"National Major Science and Technology Projects of China","doi-asserted-by":"publisher","award":["J2019-I-0013-0013"],"id":[{"id":"10.13039\/501100013076","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019533","name":"Science Fund for Distinguished Young Scholars of Fujian Province","doi-asserted-by":"publisher","award":["2023J06010"],"id":[{"id":"10.13039\/501100019533","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62073271"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Knowledge-Based Systems"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1016\/j.knosys.2024.111466","type":"journal-article","created":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T16:34:56Z","timestamp":1707496496000},"page":"111466","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":12,"special_numbering":"C","title":["\u2113<\/mml:mi><\/mml:math>-DARTS: Light-weight differentiable architecture search with robustness enhancement strategy"],"prefix":"10.1016","volume":"288","author":[{"ORCID":"http:\/\/orcid.org\/0009-0007-0626-8840","authenticated-orcid":false,"given":"Liwei","family":"Hu","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9576-7401","authenticated-orcid":false,"given":"Zidong","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0276-9756","authenticated-orcid":false,"given":"Han","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9891-3809","authenticated-orcid":false,"given":"Peishu","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Jingfeng","family":"Mao","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6957-2942","authenticated-orcid":false,"given":"Nianyin","family":"Zeng","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.knosys.2024.111466_b1","article-title":"Detection of attack behaviour of pig based on deep learning","volume":"11","author":"Li","year":"2023","journal-title":"Syst. Sci. Control Eng."},{"key":"10.1016\/j.knosys.2024.111466_b2","first-page":"1","article-title":"A small-sized object detection oriented multi-scale feature fusion approach with application to defect detection","volume":"71","author":"Zeng","year":"2022","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.knosys.2024.111466_b3","first-page":"48","article-title":"Can AI see bias in X-ray images?","author":"Szankin","year":"2022","journal-title":"Int. J. Netw. Dyn. Intell."},{"issue":"1","key":"10.1016\/j.knosys.2024.111466_b4","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1080\/21642583.2022.2110541","article-title":"Segmentation and weight prediction of grape ear based on SFNet-ResNet18","volume":"10","author":"Liang","year":"2022","journal-title":"Syst. Sci. Control Eng."},{"issue":"1","key":"10.1016\/j.knosys.2024.111466_b5","article-title":"Small object detection in UAV image based on improved YOLOv5","volume":"11","author":"Zhang","year":"2023","journal-title":"Syst. Sci. Control Eng."},{"issue":"Suppl 4","key":"10.1016\/j.knosys.2024.111466_b6","doi-asserted-by":"crossref","first-page":"3335","DOI":"10.1007\/s00366-021-01444-1","article-title":"Automated intelligent hybrid computing schemes to predict blasting induced ground vibration","volume":"38","author":"Shahri","year":"2022","journal-title":"Eng. Comput."},{"issue":"6","key":"10.1016\/j.knosys.2024.111466_b7","doi-asserted-by":"crossref","first-page":"1300","DOI":"10.1016\/j.jrmge.2021.07.006","article-title":"Spatial distribution modeling of subsurface bedrock using a developed automated intelligence deep learning procedure: A case study in Sweden","volume":"13","author":"Shahri","year":"2021","journal-title":"J. Rock Mech. Geotech. Eng."},{"key":"10.1016\/j.knosys.2024.111466_b8","first-page":"1","article-title":"A hybrid ensemble-based automated deep learning approach to generate 3D geo-models and uncertainty analysis","author":"Shahri","year":"2023","journal-title":"Eng. Comput."},{"issue":"1","key":"10.1016\/j.knosys.2024.111466_b9","first-page":"1997","article-title":"Neural architecture search: A survey","volume":"20","author":"Elsken","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.knosys.2024.111466_b10","first-page":"85","article-title":"Adaptive dynamic programming for networked control systems under communication constraints: a survey of trends and techniques","author":"Wang","year":"2022","journal-title":"Int. J. Netw. Dyn. Intell."},{"issue":"2","key":"10.1016\/j.knosys.2024.111466_b11","article-title":"FSS-Net: A fast search structure for 3D point clouds in deep learning","volume":"2","author":"Wang","year":"2023","journal-title":"Int. J. Netw. Dyn. Intell."},{"key":"10.1016\/j.knosys.2024.111466_b12","unstructured":"B. Zoph, Q. Le, Neural Architecture Search with Reinforcement Learning, in: Proceeding of the 5th International Conference on Learning Representations, ICLR, 2017."},{"key":"10.1016\/j.knosys.2024.111466_b13","doi-asserted-by":"crossref","unstructured":"B. Zoph, V. Vasudevan, J. Shlens, Q. Le, Learning transferable architectures for scalable image recognition, in: Proceeding of the 31th IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2018, pp. 8697\u20138710.","DOI":"10.1109\/CVPR.2018.00907"},{"key":"10.1016\/j.knosys.2024.111466_b14","doi-asserted-by":"crossref","unstructured":"E. Real, A. Aggarwal, Y. Huang, V. Le, Regularized evolution for image classifier architecture search, in: Proceeding of the 33th AAAI Conference on Artificial Intelligence, AAAI, Vol. 33, 2019, pp. 4780\u20134789, no. 1.","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"10.1016\/j.knosys.2024.111466_b15","doi-asserted-by":"crossref","unstructured":"Z. Guo, X. Zhang, H. Mu, W. Heng, Z. Liu, Y. Wei, J. Sun, Single path one-shot neural architecture search with uniform sampling, in: Proceeding of the 16th European Conference on Computer Vision, ECCV, 2020, pp. 544\u2013560.","DOI":"10.1007\/978-3-030-58517-4_32"},{"key":"10.1016\/j.knosys.2024.111466_b16","unstructured":"H. Pham, M. Guan, B. Zoph, Q. Le, J. Dean, Efficient neural architecture search via parameters sharing, in: Proceeding of the 35th International Conference on Machine Learning, ICML, 2018, pp. 4095\u20134104."},{"key":"10.1016\/j.knosys.2024.111466_b17","unstructured":"A. Brock, T. Lim, J. Ritchie, N. Weston, SMASH: One-Shot Model Architecture Search through HyperNetworks, in: Proceeding of the 6th International Conference on Learning Representations, ICLR, 2018."},{"key":"10.1016\/j.knosys.2024.111466_b18","unstructured":"G. Bender, P. Kindermans, B. Zoph, V. Vasudevan, Q. Le, Understanding and simplifying one-shot architecture search, in: Proceeding of the 35th International Conference on Machine Learning, ICML, Vol. 80, 2018, pp. 550\u2013559."},{"key":"10.1016\/j.knosys.2024.111466_b19","unstructured":"H. Liu, K. Simonyan, Y. Yang, Darts: Differentiable architecture search, in: Proceeding of the 6th International Conference on Learning Representations, ICLR, 2018."},{"key":"10.1016\/j.knosys.2024.111466_b20","doi-asserted-by":"crossref","unstructured":"X. Chen, L. Xie, J. Wu, Q. Tian, Progressive differentiable architecture search: Bridging the depth gap between search and evaluation, in: Proceeding of the 17th IEEE\/CVF International Conference on Computer Vision, ICCV, 2019, pp. 1294\u20131303.","DOI":"10.1109\/ICCV.2019.00138"},{"key":"10.1016\/j.knosys.2024.111466_b21","doi-asserted-by":"crossref","unstructured":"X. Chu, T. Zhou, B. Zhang, J. Li, Fair darts: Eliminating unfair advantages in differentiable architecture search, in: Proceeding of the 16th European Conference on Computer Vision, ECCV, 2020, pp. 465\u2013480.","DOI":"10.1007\/978-3-030-58555-6_28"},{"key":"10.1016\/j.knosys.2024.111466_b22","unstructured":"X. Chu, X. Wang, B. Zhang, S. Lu, X. Wei, J. Yan, Darts-: robustly stepping out of performance collapse without indicators, in: Proceeding of the 9th International Conference on Learning Representations, ICLR, 2021."},{"key":"10.1016\/j.knosys.2024.111466_b23","unstructured":"Y. Xu, L. Xie, X. Zhang, X. Chen, G. Qi, Q. Tian, H. Xiong, PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search, in: Proceeding of the 8th International Conference on Learning Representations, ICLR, 2020."},{"key":"10.1016\/j.knosys.2024.111466_b24","unstructured":"A. Zela, T. Elsken, T. Saikia, Y. Marrakchi, T. Brox, F. Hutter, Understanding and Robustifying Differentiable Architecture Search, in: Proceeding of the 8th International Conference on Learning Representations, ICLR, 2020."},{"key":"10.1016\/j.knosys.2024.111466_b25","series-title":"Darts+: Improved differentiable architecture search with early stopping","author":"Liang","year":"2019"},{"key":"10.1016\/j.knosys.2024.111466_b26","unstructured":"P. Zhou, C. Xiong, R. Socher, H. Hoi, Theory-inspired path-regularized differential network architecture search, in: Proceedings of the 33th International Conference on Neural Information Processing Systems, NIPS, Vol. 33, 2020, pp. 8296\u20138307."},{"key":"10.1016\/j.knosys.2024.111466_b27","unstructured":"X. Chen, C. Hsieh, Stabilizing differentiable architecture search via perturbation-based regularization, in: Proceeding of the 37th International Conference on Machine Learning, ICML, 2020, pp. 1554\u20131565."},{"key":"10.1016\/j.knosys.2024.111466_b28","unstructured":"R. Wang, M. Cheng, X. Chen, X. Tang, J. Hsieh, Rethinking Architecture Selection in Differentiable NAS, in: Proceeding of the 9th International Conference on Learning Representations, ICLR, 2021."},{"key":"10.1016\/j.knosys.2024.111466_b29","series-title":"Proceeding of the 24th International Conference on Neural Information Processing","first-page":"413","article-title":"Soft-margin softmax for deep classification","author":"Liang","year":"2017"},{"key":"10.1016\/j.knosys.2024.111466_b30","doi-asserted-by":"crossref","unstructured":"X. Dong, Y. Yang, Searching for a robust neural architecture in four gpu hours, in: Proceeding of the 32th IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2019, pp. 1761\u20131770.","DOI":"10.1109\/CVPR.2019.00186"},{"key":"10.1016\/j.knosys.2024.111466_b31","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.neucom.2021.11.082","article-title":"STC-NAS: Fast neural architecture search with source-target consistency","volume":"497","author":"Sun","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.knosys.2024.111466_b32","unstructured":"K. Yu, C. Sciuto, M. Jaggi, C. Musat, M. Salzmann, Evaluating The Search Phase of Neural Architecture Search, in: Proceeding of the 8th International Conference on Learning Representations, ICLR, 2020."},{"key":"10.1016\/j.knosys.2024.111466_b33","first-page":"789","article-title":"Adapting neural architectures between domains","volume":"33","author":"Li","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.knosys.2024.111466_b34","series-title":"Mixsearch: Searching for domain generalized medical image segmentation architectures","author":"Liu","year":"2021"},{"key":"10.1016\/j.knosys.2024.111466_b35","unstructured":"X. Chen, R. Wang, M. Cheng, X. Tang, C. Hsieh, DrNAS: Dirichlet Neural Architecture Search, in: Proceeding of the 9th International Conference on Learning Representations, ICLR, 2021."},{"key":"10.1016\/j.knosys.2024.111466_b36","unstructured":"M. Zhang, W. Su, S. Pan, X. Chang, M. Abbasnejad, R. Haffari, idarts: Differentiable architecture search with stochastic implicit gradients, in: Proceeding of the 38th International Conference on Machine Learning, ICML, 2021, pp. 12557\u201312566."},{"key":"10.1016\/j.knosys.2024.111466_b37","doi-asserted-by":"crossref","unstructured":"P. Ye, B. Li, Y. Li, T. Chen, J. Fan, W. Ouyang, \u03b2-darts: Beta-decay regularization for differentiable architecture search, in: Proceeding of the 35th IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2022, pp. 10874\u201310883.","DOI":"10.1109\/CVPR52688.2022.01060"},{"key":"10.1016\/j.knosys.2024.111466_b38","unstructured":"S. Movahedi, M. Adabinejad, A. Imani, A. Keshavarz, M. Dehghani, A. Shakery, B. Araabi, \u039b-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells, in: Proceeding of the 11th International Conference on Learning Representations, ICLR, 2023."},{"key":"10.1016\/j.knosys.2024.111466_b39","doi-asserted-by":"crossref","unstructured":"S. Woo, J. Park, J. Lee, S. Kweon, Cbam: Convolutional block attention module, in: Proceeding of the 15th European Conference on Computer Vision, ECCV, 2018, pp. 3\u201319.","DOI":"10.1007\/978-3-030-01234-2_1"},{"issue":"5","key":"10.1016\/j.knosys.2024.111466_b40","doi-asserted-by":"crossref","first-page":"6804","DOI":"10.1109\/TII.2022.3184700","article-title":"Partial connection based on channel attention for differentiable neural architecture search","volume":"19","author":"Xue","year":"2023","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.knosys.2024.111466_b41","doi-asserted-by":"crossref","unstructured":"X. Dong, Y. Yang, One-shot neural architecture search via self-evaluated template network, in: Proceedings of the 19th IEEE\/CVF International Conference on Computer Vision, ICCV, 2019, pp. 3681\u20133690.","DOI":"10.1109\/ICCV.2019.00378"},{"key":"10.1016\/j.knosys.2024.111466_b42","doi-asserted-by":"crossref","unstructured":"J. Hu, L. Shen, G. Sun, Squeeze-and-excitation networks, in: Proceeding of the 31th IEEE\/CVP Conference on Computer Vision and Pattern Recognition, CVPR, 2018, pp. 7132\u20137141.","DOI":"10.1109\/CVPR.2018.00745"},{"key":"10.1016\/j.knosys.2024.111466_b43","unstructured":"V. Nair, E. Hinton, Rectified linear units improve restricted boltzmann machines, in: Proceeding of the 27th International Conference on Machine Learning, ICML, 2010, pp. 807\u2013814."},{"key":"10.1016\/j.knosys.2024.111466_b44","series-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"10.1016\/j.knosys.2024.111466_b45","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","article-title":"Imagenet large scale visual recognition challenge","volume":"115","author":"Russakovsky","year":"2015","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.knosys.2024.111466_b46","unstructured":"R. Luo, F. Tian, T. Qin, E. Chen, T. Liu, Neural architecture optimization, in: Proceedings of the 31th International Conference on Neural Information Processing Systems, NIPS, Vol. 31, 2018, pp. 7816\u20137827."},{"key":"10.1016\/j.knosys.2024.111466_b47","doi-asserted-by":"crossref","unstructured":"G. Li, G. Qian, I.C. Delgadillo, M. Muller, A. Thabet, B. Ghanem, Sgas: Sequential greedy architecture search, in: Proceeding of the 33th IEEE\/CVP Conference on Computer Vision and Pattern Recognition, CVPR, 2020, pp. 1620\u20131630.","DOI":"10.1109\/CVPR42600.2020.00169"},{"key":"10.1016\/j.knosys.2024.111466_b48","unstructured":"S. Xie, H. Zheng, C. Liu, L. Lin, SNAS: stochastic neural architecture search, in: Proceeding of the 7th International Conference on Learning Representations, ICLR, 2019."},{"key":"10.1016\/j.knosys.2024.111466_b49","doi-asserted-by":"crossref","unstructured":"Y. Gu, L. Wang, Y. Liu, Y. Yang, Y. Wu, S. Lu, M. Cheng, Dots: Decoupling operation and topology in differentiable architecture search, in: Proceeding of the 34th IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2021, pp. 12306\u201312315.","DOI":"10.1109\/CVPR46437.2021.01213"},{"key":"10.1016\/j.knosys.2024.111466_b50","first-page":"1","article-title":"A novel dynamic multiobjective optimization algorithm with non-inductive transfer learning based on multi-strategy adaptive selection","author":"Li","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.knosys.2024.111466_b51","first-page":"24","article-title":"A survey of algorithms, applications and trends for particle swarm optimization","author":"Fang","year":"2023","journal-title":"Int. J. Netw. Dyn. Intell."},{"issue":"1","key":"10.1016\/j.knosys.2024.111466_b52","article-title":"Optimal control method of active distribution network considering soft open point and thermostatically controlled loads under distributed photovoltaic access","volume":"11","author":"Li","year":"2023","journal-title":"Syst. Sci. Control Eng."},{"key":"10.1016\/j.knosys.2024.111466_b53","first-page":"1","article-title":"SMWO\/D: a decomposition-based switching multi-objective whale optimiser for structural optimisation of Turbine disk in aero-engines","author":"Li","year":"2023","journal-title":"Internat. J. Systems Sci."},{"key":"10.1016\/j.knosys.2024.111466_b54","unstructured":"X. Dong, Y. Yang, Nas-bench-201: Extending the Scope of Reproducible Neural Architecture Search, in: Proceeding of the 8th International Conference on Learning Representations, ICLR, 2020."},{"key":"10.1016\/j.knosys.2024.111466_b55","doi-asserted-by":"crossref","unstructured":"S. Hu, S. Xie, H. Zheng, C. Liu, J. Shi, X. Liu, D. Lin, Dsnas: Direct neural architecture search without parameter retraining, in: Proceeding of the 33th IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2020, pp. 12084\u201312092.","DOI":"10.1109\/CVPR42600.2020.01210"},{"issue":"1","key":"10.1016\/j.knosys.2024.111466_b56","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1109\/TPAMI.2022.3153065","article-title":"Cyclic differentiable architecture search","volume":"45","author":"Yu","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"13","key":"10.1016\/j.knosys.2024.111466_b57","doi-asserted-by":"crossref","first-page":"2676","DOI":"10.1080\/00207721.2023.2241957","article-title":"Neural network-based parametric system identification: a review","volume":"54","author":"Dong","year":"2023","journal-title":"Internat. J. Systems Sci."},{"issue":"16","key":"10.1016\/j.knosys.2024.111466_b58","doi-asserted-by":"crossref","first-page":"3556","DOI":"10.1080\/00207721.2022.2083262","article-title":"A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective","volume":"53","author":"Li","year":"2022","journal-title":"Internat. J. Systems Sci."},{"issue":"16","key":"10.1016\/j.knosys.2024.111466_b59","doi-asserted-by":"crossref","first-page":"3013","DOI":"10.1080\/00207721.2023.2268234","article-title":"Adaptive stochastic model predictive control via network ensemble learning","volume":"54","author":"Xiong","year":"2023","journal-title":"Internat. J. Systems Sci."},{"key":"10.1016\/j.knosys.2024.111466_b60","doi-asserted-by":"crossref","unstructured":"M. Tan, B. Chen, R. Pang, V. Vasudevan, M. Sandler, A. Howard, V. Le, Mnasnet: Platform-aware neural architecture search for mobile, in: Proceeding of the 32th IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2019, pp. 2820\u20132828.","DOI":"10.1109\/CVPR.2019.00293"},{"key":"10.1016\/j.knosys.2024.111466_b61","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-021-00515-w","article-title":"A novel sensitivity-based method for feature selection","volume":"8","author":"Naik","year":"2021","journal-title":"J. Big Data"},{"issue":"3","key":"10.1016\/j.knosys.2024.111466_b62","doi-asserted-by":"crossref","first-page":"562","DOI":"10.2166\/hydro.2020.098","article-title":"Updating the neural network sediment load models using different sensitivity analysis methods: a regional application","volume":"22","author":"Asheghi","year":"2020","journal-title":"J. Hydroinform."},{"key":"10.1016\/j.knosys.2024.111466_b63","series-title":"Proceeding of the 17th Conference on International Symposium on Intelligent Data Analysis","first-page":"67","article-title":"Towards content sensitivity analysis","author":"Battaglia","year":"2020"}],"container-title":["Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950705124001011?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950705124001011?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,2,23]],"date-time":"2024-02-23T22:58:51Z","timestamp":1708729131000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0950705124001011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":63,"alternative-id":["S0950705124001011"],"URL":"https:\/\/doi.org\/10.1016\/j.knosys.2024.111466","relation":{},"ISSN":["0950-7051"],"issn-type":[{"value":"0950-7051","type":"print"}],"subject":[],"published":{"date-parts":[[2024,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"-DARTS: Light-weight differentiable architecture search with robustness enhancement strategy","name":"articletitle","label":"Article Title"},{"value":"Knowledge-Based Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.knosys.2024.111466","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"111466"}}