Results 271 to 280 of about 601,753 (327)

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

Biodiversity Credits: An Overview of the Current State, Future Opportunities, and Potential Pitfalls

Business Strategy and the Environment, EarlyView.
ABSTRACT Biodiversity credits are an emerging vehicle for pro‐environmental financing, yet much uncertainty remains around how and when they could boost biodiversity conservation. Here we define what biodiversity credits are and explore impact pathways through a proposed theory of change. Based on evidence from 34 pilot projects and a review of lessons
Sven Wunder, Cecilia Fraccaroli, Joseph W. Bull, Trishna Dutta, Alison Eyres, Megan C. Evans, Bo Jellesmark Thorsen, Julia P. G. Jones, Martine Maron, Bart Muys, Andrea Pacheco, Asger Strange Olesen, Thomas Swinfield, Yitagesu Tekle Tegegne, Thomas B. White, Han Zhang, Sophus O. S. E. zu Ermgassen   +16 more
wiley   +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 Japanese Word Sense Disambiguation Based on Two-Stage Classification of Unlabeled Data and Ensemble Learning

, 2011
Tatsukuni Inoue, Hiroaki Saito
openalex   +2 more sources

Unveiling Circular Economy Pathways Among Small and Medium Hotels Through a Hybrid Analytical Framework

Business Strategy and the Environment, EarlyView.
ABSTRACT Small and medium‐sized hotels (SME hotels), which constitute the majority of the global hospitality sector, face mounting pressure to align with sustainability goals. However, their transition to circular economy (CE) practices remains under‐theorised and poorly implemented, particularly in emerging economies where institutional fragility and ...
Sandeep Kumar Dey, Reshma Sandeep Kumar Dey, Sinh Duc Hoang, Jose Arturo Garza‐Reyes   +3 more
wiley   +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

Sustainable Meat Consumption: Values, Drivers, and Barriers—A Mixed‐Method Study With Post hoc Qualitative Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT Growing health and environmental concerns associated with traditional meat production and consumption drive the commercialization of sustainable meats (SMs) as a viable alternative. The greatest challenge to feed the growing population can be addressed with SMs that are produced, consumed, and disposed of in a manner that protects our ...
Munish Saini, Gyan Prakash, Reeti Agarwal, Rsha Alghafes, Laura Broccardo   +4 more
wiley   +1 more source

Craniomaxillofacial landmarks detection in CT scans with limited labeled data via semi-supervised learning. [PDF]

Heliyon
Tao L, Zhang X, Yang Y, Cheng M, Zhang R, Qian H, Wen Y, Yu H.   +7 more
europepmc   +1 more source

Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching

, 2012
Marthinus Du Plessis, Masashi Sugiyama
openalex   +2 more sources

Unravelling Inter‐Organisational Collaboration to Address the Circular Economy Transitions: A Systematic Literature Review

Business Strategy and the Environment, EarlyView.
ABSTRACT This study offers a systematic review of the growing body of literature about inter‐organisational collaboration initiatives that have arisen to deal with the circular economy transition. Indeed, circular economy transition is highly reliant on stakeholders' interaction in collaborative patterns, where organisations bring together specific ...
Francesco Antonio Perotti, Ilan Alon, Bhumika Gupta, Alberto Ferraris   +3 more
wiley   +1 more source