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Papers matching “strategy selection” 115

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Conformal Cross-Modal Active Learning
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Tobias Glück, Anke Schmeink, Andreas Kugi

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM Training: A Survey
2026 IEEE Transactions on Artificial Intelligence article Computer Science Topic Modeling

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
A Dual-Competition-Based Particle Swarm Optimizer for Large-Scale Optimization
2024 Mathematics article Computer Science Metaheuristic Optimization Algorithms Research Open access

Xianjie Peng, Weian Guo, Dongyang Li

4

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
OASIC: Occlusion-Agnostic and Severity-Informed Classification
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Kay Gijzen, Gertjan J. Burghouts, Daniël M. Pelt

0

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

0

citations
OASIC: Occlusion-Agnostic and Severity-Informed Classification
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Kay Gijzen, Gertjan J. Burghouts, Daniël M. Pelt

0

citations
Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory
2025 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Yang Zhou, Zhengyu Qi, Zhaochun Ren, Zhikai Jia, Haizhou Sun, Xiaofei Zhu, +1 more

2

citations
Federated Learning in Heterogeneous Networks with Unreliable Communication
2021 IEEE Globecom Workshops (GC Wkshps) conference-paper Computer Science Privacy-Preserving Technologies in Data

Paul Zheng, Yao Lin Zhu, Zhengming J. Zhang, Yulin Hu, Anke Schmeink

16

citations
An Efficient Contesting Procedure for AutoML Optimization
2022 IEEE Access article Computer Science Machine Learning and Data Classification Open access

Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck

11

citations
Explorative data analysis of time series based algorithm features of CMA-ES variants
2021 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Jacob de Nobel, Hao Wang, Thomas Bäck

7

citations
Age-of-Information Minimization in Multi-Server Edge Computing Networks for URLLC Services
2025 IEEE Transactions on Vehicular Technology article Computer Science Age of Information Optimization

Jingrui Wei, Chenhao Shi, Yao Lin Zhu, Yulin Hu, Anke Schmeink

5

citations
Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters
2023 International Joint Conference on Computational Intelligence conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova

4

citations
Repulsion dynamics for uniform Pareto front approximation in multi-objective optimization problems
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi

1

citations
A Test for FLOPs as a Discriminant for Linear Algebra Algorithms
2022 IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) conference-paper Computer Science Matrix Theory and Algorithms Open access

Aravind Sankaran, Paolo Bientinesi

1

citations
Repulsion dynamics for uniform Pareto front approximation in multi‐objective optimization problems
2023 PAMM article Computer Science Advanced Multi-Objective Optimization Algorithms

Giacomo Borghi

1

citations
Poster: Towards Selecting Threat Appropriate Industrial Intrusion Detection Systems
2026 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Stefan Lenz, Johannes Weidmann, Martin Henze

0

citations
D2.3 Access gate to data mobilisation tutorials
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Research Data Management Practices Open access

Niels Raes

0

citations
Translationale Modellierung der Wirksamkeit von Medikamenten in Krebspatienten
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Computational Drug Discovery Methods Open access

Lisa-Katrin Schätzle

0

citations
The Impact of Robust Learning on Unsupervised Image Classification
2025 Signal Processing and Communications Applications Conference (SIU) conference-paper Computer Science Advanced Neural Network Applications

Ayça Şirin Kındap, Marc Hilbert

0

citations
Uneven distribution of knowledge seeking for female researchers
2026 npj Complexity article Computer Science Expert finding and Q&A systems Open access

Shiqi Tang, Dongyi Wang, Yi Bu, Jianhua Hou

0

citations
Freshness-Driven Resource Allocation for Partial Task Offloading in IoT Networks
2025 IEEE Vehicular Technology Conference conference-paper Computer Science Age of Information Optimization

Jingrui Wei, Chenhao Shi, Yao Lin Zhu, Anke Schmeink

0

citations
Towards automated self-supervised learning for truly unsupervised graph anomaly detection
2025 Data Mining and Knowledge Discovery article Computer Science Advanced Graph Neural Networks Open access

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

1

citations
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

0

citations