Results 271 to 280 of about 338,614 (301)

CACs Recognition of FISH Images Based on Adaptive Mean Teacher Semi-supervised Learning with Domain-Knowledge Pseudo Label. [PDF]

J Imaging Inform Med
Weng Y, Hu Q, Wang H, Kuang Y, Zhou Y, Tang Y, Wang L, Ye X, Lu X.   +8 more
europepmc   +1 more source

Leveraging Artificial Intelligence for ESG Reporting: A Case Study in the European Fashion Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT The fashion industry in Europe has increasingly recognized the importance of Environmental, Social, and Governance (ESG) reporting as a key driver for sustainable development and transparency. As consumer awareness grows and regulatory frameworks evolve, companies are pressured to disclose their sustainability practices, ethical labor ...
Serena Strazzullo, Lucia Acampora, Livio Cricelli, Sara Ianniello, Maria Elena Nenni, Narinder Singh   +5 more
wiley   +1 more source

A Pseudo-Labeling Multi-Screening-Based Semi-Supervised Learning Method for Few-Shot Fault Diagnosis. [PDF]

Sensors (Basel)
Liu S, Zhu Z, Chen Z, He J, Chen X, Chen Z.   +5 more
europepmc   +1 more source

Experimentation and Learning in Business Model Innovation for Sustainability in Incumbent Firms: An Integrative Review

Business Strategy and the Environment, EarlyView.
ABSTRACT The pressure on corporations to contribute to sustainable development is increasing. It is widely recognised that the sustainable development goals and deadlines cannot be achieved without the support of incumbent firms. Business model innovation (BMI) is identified as a means for businesses to contribute to sustainable development.
Mercy Masaeli, Vasiliki Bamiatzi, Marianna Marra, Stephan Manning   +3 more
wiley   +1 more source

Modeling disagreement in automatic data labeling for semi-supervised learning in Clinical Natural Language Processing. [PDF]

Front Artif Intell
Liu H, Seedat N, Ive J.
europepmc   +1 more source

Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network. [PDF]

BMC Med Inform Decis Mak
Saihood A, Abdulhussien WR, Alzubaid L, Manoufali M, Gu Y.   +4 more
europepmc   +1 more source

Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition. [PDF]

J Am Med Inform Assoc
Chen F, Zhang G, Fang Y, Peng Y, Weng C.
europepmc   +1 more source

A Semi-Supervised Learning Framework for Classifying Colorectal Neoplasia Based on the NICE Classification. [PDF]

J Imaging Inform Med
Wang Y, Ni H, Zhou J, Liu L, Lin J, Yin M, Gao J, Zhu S, Yin Q, Zhu J, Li R.   +10 more
europepmc   +1 more source

Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence prediction. [PDF]

Brief Bioinform
Phan H, Brouard C, Mourad R.
europepmc   +1 more source

Orienting people-centred disaster shelter planning based on risk assessing with semi-supervised learning. [PDF]

Heliyon
Zhu Y, Gan L, Li X, Zuo Y, Liu J, Lev B.
europepmc   +1 more source