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Papers matching “object localization” 33

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Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Long Chen, Martin Strauch, Dorit Merhof

0

citations
Digital Object Interface Protocol (DOIP) enabled Digital Object repository installation to store and provide digital specimen information
2025 preprint Computer Science Research Data Management Practices Open access

Soulaine Theocharides, Sam Leeflang, Wouter Addink, Sharif Islam

0

citations
From Text to Tables: A Local Privacy Preserving Large Language Model for Structured Information Retrieval from Medical Documents
2023 medRxiv preprint Computer Science Machine Learning in Healthcare Open access

Isabella C. Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, +6 more

25

citations
pyFOOMB: Python Framework for Object Oriented Modelling of Bioprocesses
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Modeling and Simulation Systems Open access

Johannes Hemmerich, Niklas Tenhaef, Wolfgang Wiechert, Stephan Noack

3

citations
Local policy search with Bayesian optimization
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

17

citations
When Visual Evidence is Ambiguous: Pareidolia as a Diagnostic Probe for Vision Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Qianpu Chen, Derya Soydaner, Rob Saunders

0

citations
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck

0

citations
Deep Learning Approach for Bubble Detection and Segmentation with YOLOv5
2024 Preprints.org preprint Computer Science Advanced Neural Network Applications Open access

Amit Sharma, Moritz Eickhoff, Thomas Echterhof, Christian Wuppermann

6

citations
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman

0

citations
The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems
2022 Preprints.org preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Michael Emmerich, Andre H. Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

4

citations
FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Samar Samir Khalil, Noha S. Tawfik, Marco Spruit

0

citations
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Andre H. Deutz, Michael Emmerich, Hao Wang

0

citations
Contextual Attention Network: Transformer Meets U-Net
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof

0

citations
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle

0

citations
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Kirill Antonov, Anna V. Kononova, Thomas Bäck, Bas van Stein

0

citations
The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Soroosh Tayebi Arasteh, Mina Farajiamiri, Mahshad Lotfinia, Behrus Puladi, Jonas Bienzeisler, Mohamed Alhaskir, +4 more

0

citations
MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Sina Ghorbani Kolahi, S. Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, +2 more

6

citations
Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

2

citations
Fundamental Limitations of QAOA on Constrained Problems and a Route to Exponential Enhancement
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chinonso Onah, Kristel F. L. Michielsen

0

citations
On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem
2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Jakob Bossek, Christian Grimme

0

citations
LocoMotion: Learning Motion-Focused Video-Language Representations
2024 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Hazel Doughty, Fida Mohammad Thoker, Cees G. M. Snoek

0

citations
Generalized LIMDDs: Succinctness and Canonicity for Decision Diagrams Modulo a Group
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Arend-Jan Quist, Alexis de Colnet, Thomas Reps, Alfons Laarman

0

citations
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models
2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Fabian Waschkowski, Haochen Li, Abhishek J. Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz G. Pitsch, +2 more

4

citations
BanffNET, a Deep Learning System for Comprehensive Histological Lesion Quantification in Kidney Transplant Biopsies
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Giorgio Buzzanca, Chiara Pala, Junling He, Rianne Hofstraat, Alessandra Tammaro, Dominique van Midden, +41 more

2

citations
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Kirill Antonov, Marijn E. Siemons, Bas van Stein, Thomas Bäck, Ralf Kohlhaas, Anna V. Kononova

1

citations