Paper Review Records
All Paper Review Records
25 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
151
days
GE-PEFT: Gated Expandable Parameter-Efficient Fine-Tuning for Continual Learning
Authors
Janna Omeliyanenko; Andreas Hotho; Daniel SchlörShow moreShow less
Affiliations
1. Center for Artificial Intelligence and Data Science (CAIDAS), Würzburg, Germany; 2. Data Science Chair, Julius-Maximilians-University of Würzburg, Würzburg, GermanyShow moreShow less
346
days
Adaptive Swarm Mesh Refinement Using Deep Reinforcement Learning with Local Rewards
Authors
Niklas Freymuth; Philipp Dahlinger; Tobias Würth; Simon Reisch; Luise Kärger; Gerhard NeumannShow moreShow less
Affiliations
1. Karlsruhe Institute of Technology (KIT), Autonomous Learning Robots, Karlsruhe, Germany; 2. Karlsruhe Institute of Technology (KIT), Institute of Vehicle System Technology, Karlsruhe, GermanyShow moreShow less
87
days
Towards Adaptive and Communication-Efficient Dynamic Federated Learning
Authors
Shunxin Guo; Jiaqi Lv; Qiufeng Wang; Xin GengShow moreShow less
Affiliations
1. School of Computer Science and Engineering, Southeast University, Nanjing, China; 2. Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Nanjing, ChinaShow moreShow less
109
days
Top- k Diverse Polarized Communities in Signed Networks
Authors
Francesco Gullo; Domenico Mandaglio; Andrea TagarelliShow moreShow less
Affiliations
1. Department of Information Engineering, Computer Science, and Mathematics (DISIM), University of L’Aquila, L’Aquila, Italy; 2. Department Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, ItalyShow moreShow less
158
days
Fast Rashomon Sets of Sparse Rule Sets
Authors
Cristina Molero-Río; Boxuan Li; Tong Wang; Cynthia RudinShow moreShow less
Affiliations
1. Departamento de Estadística e Investigación Operativa & Instituto de Matemáticas de la Universidad de Sevilla, Universidad de Sevilla, Seville, Spain; 2. Department of Industrial Engineering and Operations Research, Columbia University, New York, USA; 3. School of Management, Yale University, New Haven, USA; 4. Department of Computer Science, Duke University, Durham, USAShow moreShow less
197
days
What Should an AI Assessor Optimise for?
Authors
Daniel Romero-Alvarado; Fernando Martínez-Plumed; José Hernández-OralloShow moreShow less
Affiliations
1. VRAIN, Universitat Politècnica de València, Valencia, Spain; 2. LCFI, University of Cambridge, Cambridge, UKShow moreShow less
Expert Matching · Case Demo
Turn Your Submission Goalsinto a Verifiable Journal Plan
Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.
Client
I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?
CrushSCI
Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.
- Suggested title
- Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days