Cleavage Referendums: Ideological Decisions and Transformational Political Change by Theresa Reidy

“…The articles in this issue make three important contributions to enrich existing work on referendums: The first contribution lies in the development of new conceptual models for analysing referendums, such as new forms of classifying cleavage referendums, presenting a predictive model for the outcomes of referendum votes, and documenting and applying methodological approaches and frameworks that can provide the foundations for further future comparative work. …”
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A novel blockchain technology-based supply chain coordination considering classified after-sales services of electronic products by Xiaoqing Huang, Rui Chen, Yanhong Wan, Haiping Ren

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Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma by Dongjing Zhang, Bingyun Lu, Qianqian Ma, Wen Xu, Qi Zhang, Zhiqi Xiao, Yuanheng Li, Ren Chen, An-jiang Wang

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Unsupervised Modelling of E-Customers’ Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers by Vijoleta Vrhovac, Marko Orošnjak, Kristina Ristić, Nemanja Sremčev, Mitar Jocanović, Jelena Spajić, Nebojša Brkljač

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Intelligent System Using Data to Support Decision-Making by Viera Anderková, František Babič, Zuzana Paraličová, Daniela Javorská

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Analysis of Driver Decisions at the Onset of Yellow at Signalized Intersections by Juan Li, Boyu Jiang, Chunjiao Dong, Jue Wang, Xuan Zhang

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Real-Time Decision-Making Systems: Approaches to Construction by Zakharchenko I., Dmitriev A., Ovcharenko V., Maslov I., Pavlenko M., Timochko A., Kryzhevska K.

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Hybrid Adaptive Multiple Intelligence System (HybridAMIS) for classifying cannabis leaf diseases using deep learning ensembles by Keartisak Sriprateep, Surajet Khonjun, Rapeepan Pitakaso, Thanatkij Srichok, Sarinya Sala-Ngam, Yottha Srithep, Sarayut Gonwirat, Peerawat Luesak, Surasak Matitopanum, Chakat Chueadee, Rungwasun Kraiklang, Monika Kosacka-Olejnik

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Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder- a Machine-Learning based classification study by Susanne Neufang, Feifei Li, Atae Akhrif, Oya D. Beyan

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A Classifier Model Using Fine-Tuned Convolutional Neural Network and Transfer Learning Approaches for Prostate Cancer Detection by Murat Sarıateş, Erdal Özbay

“…Background: Accurate and reliable classification models play a major role in clinical decision-making processes for prostate cancer (PCa) diagnosis. …”
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Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status by Shubhangi Mahato, Hanqing Bi, Suresh Neethirajan, Suresh Neethirajan

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A Multi-Scale Adaptive Fusion Network: End-to-End Interpretable Small-Sample Classifier for Motor Imagery EEG by Qiulei Han, Yan Sun, Ze Song, Hongbiao Ye, Tingwei Chen, Jian Zhao

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A Two-Stage Feature Selection Approach for Fruit Recognition Using Camera Images With Various Machine Learning Classifiers by Tri Tran Minh Huynh, Tuan Minh Le, Long Ton That, Ly Van Tran, Son Vu Truong Dao

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An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study by Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

“…Such models may potentially support clinical decision-making in suicide prevention services. Future research should explore multimodal input features and temporal aspects of suicide risk.…”
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Incorporation of explainable artificial intelligence in ensemble machine learning-driven pancreatic cancer diagnosis by Faisal Abdulaziz Almisned, Natacha Usanase, Dilber Uzun Ozsahin, Ilker Ozsahin

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Classifying AI-Powered prediction models for disability progression using the Tamir-Based complex fuzzy Aczel–Alsina WASPAS method by Jabbar Ahmmad, Meraj Ali Khan, Ibrahim Aldayel, Tahir Mahmood

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Enhancing head and neck cancer detection accuracy in digitized whole-slide histology with the HNSC-classifier: a deep learning approach by Haiyang Yu, Haiyang Yu, Wang Yu, Wang Yu, Yuan Enwu, Yuan Enwu, Yuan Enwu, Jun Ma, Jun Ma, Xin Zhao, Xin Zhao, Linlin Zhang, Linlin Zhang, Linlin Zhang, Fang Yang, Fang Yang, Fang Yang

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Changing the decision context to enable social learning for climate adaptation by Matthew J. Colloff, Russell Gorddard, Claudia Munera‐Roldán, Bruno Locatelli, Sandra Lavorel, Sandrine Allain, Enora Bruley, James R. A. Butler, Titouan Dubo, Ojongetakah Enokenwa Baa, Alberto González‐García, Lou Lécuyer, Michaela Lo, Jacqueline Loos, Ignacio Palomo, Emeline Topp, Améline Vallet, Gretchen Walters

“…We used the scope of the adaptation issue and governance arrangements to classify initiatives into four types and scored changes in the decision context using three frameworks: (1) the values, rules and knowledge (VRK) perspective to identify changes to adaptation decision‐making; (2) the five dimensions of futures consciousness to identify the building of adaptation capabilities and (3) the social learning cycle to reveal evidence of reflexive learning. …”
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A non-invasive multi-phase CT classifier for predicting pre-treatment enlarged lymph node types in colorectal cancer by Kui Sun, Junwei Wang, Xin Zhou, Wei Fu

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Classifying breast cancer and fibroadenoma tissue biopsies from paraffined stain-free slides by fractal biomarkers in Fourier Ptychographic Microscopy by Vittorio Bianco, Marika Valentino, Daniele Pirone, Lisa Miccio, Pasquale Memmolo, Valentina Brancato, Luigi Coppola, Giovanni Smaldone, Massimiliano D’Aiuto, Gennaro Mossetti, Marco Salvatore, Pietro Ferraro

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