{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T17:09:15Z","timestamp":1778260155044,"version":"3.51.4"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3602874","type":"journal-article","created":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T19:22:56Z","timestamp":1756236176000},"page":"151365-151383","source":"Crossref","is-referenced-by-count":2,"title":["Deep Learning-Driven Garden Design: Integrating AI Into the Creative Process"],"prefix":"10.1109","volume":"13","author":[{"given":"Han","family":"Yang","sequence":"first","affiliation":[{"name":"Shunde Polytechnic University, Foshan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5014-4741","authenticated-orcid":false,"given":"Dong","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Art and Design, Guangzhou University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lianyu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Fine Arts, Sichuan University of Science and Engineering, Zigong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2021.eacl-main.20","article-title":"Exploiting cloze-questions for few-shot text classification and natural language inference","volume-title":"Proc. 16th Conf. Eur. Chapter Assoc. Comput. Linguistics, Main Volume","author":"Schick"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2022.acl-long.158","article-title":"Knowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification","volume-title":"Proc. 60th Annu. Meeting Assoc. Comput. Linguistics","author":"Hu"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2023.findings-emnlp.603","article-title":"Text classification via large language models","volume-title":"Proc. Findings Assoc. Comput. Linguistics: EMNLP","author":"Sun"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591641"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2022.11.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10393-8"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2020.emnlp-main.498","article-title":"BAE: BERT-based adversarial examples for text classification","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process. (EMNLP)","author":"Garg"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2020.acl-main.194","article-title":"MixText: Linguistically-informed interpolation of hidden space for semi-supervised text classification","volume-title":"Proc. 58th Annu. Meeting Assoc. Comput. Linguistics","author":"Chen"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3439726"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.426"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2020.acl-main.31","article-title":"Every document owns its structure: Inductive text classification via graph neural networks","volume-title":"Proc. 58th Annu. Meeting Assoc. Comput. Linguistics","author":"Zhang"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2022.acl-long.365","article-title":"Noisy channel language model prompting for few-shot text classification","volume-title":"Proc. 60th Annu. Meeting Assoc. Comput. Linguistics","author":"Min"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2021.findings-emnlp.234","article-title":"AEDA: An easier data augmentation technique for text classification","volume-title":"Proc. Findings Assoc. Comput. Linguistics, EMNLP","author":"Karimi"},{"key":"ref14","article-title":"Text classification","volume-title":"Proc. Int. Conf. Inf. Technol.","author":"Molitorys"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/info13020083"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/3498123"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s41133-020-00032-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3495162"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2022.acl-long.491","article-title":"Incorporating hierarchy into text encoder: A contrastive learning approach for hierarchical text classification","volume-title":"Proc. 60th Annu. Meeting Assoc. Comput. Linguistics","author":"Wang"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-04221-9"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2020.acl-main.104","article-title":"Hierarchy-aware global model for hierarchical text classification","volume-title":"Proc. 58th Annu. Meeting Assoc. Comput. Linguistics","author":"Zhou"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/1883698"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/app10175841"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3544558"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3162614"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21292"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-13459-x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-51518-7_7"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6359"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2020.emnlp-main.399","article-title":"Be more with less: Hypergraph attention networks for inductive text classification","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process. (EMNLP)","author":"Ding"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3137893"},{"issue":"23","key":"ref32","doi-asserted-by":"crossref","first-page":"9544","DOI":"10.3390\/s22239544","article-title":"Image classification using multiple convolutional neural networks on the fashion-MNIST dataset","volume":"22","author":"Nocentini","year":"2022","journal-title":"Sensors"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1016\/j.dib.2022.108590","article-title":"Dataset of an energy community\u2019s generation and consumption with appliance allocation","volume":"45","author":"Goncalves","year":"2022","journal-title":"Data Brief"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-025-11162-5"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i15.17625"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11301-022-00311-7"},{"key":"ref37","article-title":"DeBERTaV3: Improving DeBERTa using ELECTRA-style pre-training with gradient-disentangled embedding sharing","author":"He","year":"2021","journal-title":"arXiv:2111.09543"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.dravidianlangtech-1.15"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.semeval-1.45"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11142324.pdf?arnumber=11142324","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T18:23:13Z","timestamp":1757010193000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11142324\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3602874","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}