Paper Review Records
全部论文审稿周期
22 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期；保留 PDF/DOI/网页源链接
97
天
Contrastive adapter training and consensus knowledge distillation for multi-source-free domain adaptation in skin cancer diagnosis
作者
Ali Abedi; Q.M. Jonathan Wu; Ning Zhang; Farhad Pourpanah展开收起
作者单位
University of Windsor, Department of Electrical and Computer Engineering, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada; Queen’s University, Department of Electrical and Computer Engineering, 99 University Ave, Kingston, ON K7L 3N6, Canada展开收起
142
天
Whitening black boxes: Interpretable and explainable DL-based systems for trustworthy healthcare
作者
Antonio Lo Faro; Yves Grandvalet; Luca Ulrich; Sandro Moos; Enrico Vezzetti; Giorgia Marullo展开收起
作者单位
Department of Management and Production Engineering, Politecnico di Torino, C.so Duca degli Abruzzi, 24, Torino, 10129, Italy; Université de Technologie de Compiègne, CNRS, Heudiasyc UMR 7253, CS 60 319, Compiègne Cedex, 60 203, France展开收起
117
天
A critical perspective on finite sample conformal prediction theory in medical applications
作者
Klaus-Rudolf Kladny; Bernhard Schölkopf; Lisa Koch; Christian F. Baumgartner; Michael Muehlebach展开收起
作者单位
Max Planck Institute for Intelligent Systems, Tübingen, Germany; Tübingen AI Center, Tübingen, Germany; ELLIS Institute Tübingen, Tübingen, Germany; Department of Digital Medicine, University of Bern, Bern, Switzerland; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism UDEM, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Diabetes Center Berne, Bern, Switzerland; University of Tübingen, Tübingen, Germany; University of Lucerne, Lucerne, Switzerland展开收起
267
天
Artificial intelligence based techniques for brain tumor analysis: A systematic review
作者
Oluwabukola G. Adegboro; Julia Dietlmeier; Noel E. O’Connor; Claudia Mazo展开收起
作者单位
Dublin City University, Dublin, Ireland; Insight Research Ireland Centre For Data Analytics, Dublin, Ireland; Research Ireland Centre for Research Training in Machine Learning (ML-Labs), Dublin, Ireland展开收起
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客户询问
我是环境工程专业，需要一篇 SCI，希望 3 个月内见刊。没有基金，也没有大牛挂名，可以投哪些期刊？
CrushSCI回复
可以。先按 90 天时限做可行性筛选，同步查找无基金、无知名作者挂靠的典型论文案例，作为选刊依据。重点核对研究质量与期刊 scope。
- 拟题建议
- 《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》
样本口径2026 年最近 5 篇有效论文样本
平均审稿62 天
中位数65 天