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Papers matching “decision-making efficiency” 29

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Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
2025 conference-paper Computer Science Reinforcement Learning in Robotics

M. Youssef Abdelhamid, Lennart Vater, Zlatan Ajanović

0

citations
Factors involved in modernization decision making
2024 RWTH Publications (RWTH Aachen) dissertation Computer Science Software Engineering Research Open access

Aleksandra Pazova

1

citations
Attribution-based Explanations for Markov Decision Processes
2026 International Joint Conference on Artificial Intelligence conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Paul Kobialka, Andrea Pferscher, Francesco Leofante, Erika Ábrahám, Silvia Lizeth Tapia Tarifa, Einar Broch Johnsen

0

citations
MaLei at MultiClinSUM: summarisation of clinical documents using perspective-aware iterative self-prompting with LLMs: notebook for the lab at CLEF 2025
2025 Leiden Repository (Leiden University) conference-paper Computer Science Topic Modeling Open access

L. Ren, Y.M. Ng, L. Han

0

citations
Heuristic Planning
2020 Springer eBooks book-chapter Computer Science AI-based Problem Solving and Planning

Aske Plaat

0

citations
Analyzing Cancer Patients' Experiences with Embedding-based Topic Modeling and LLMs
2026 Computational Linguistics in the Netherlands Journal article Computer Science Topic Modeling Open access

Teodor-Călin Ionescu, Lifeng Han, Jan Heijdra Suasnabar, Anne Margarethe Stiggelbout, Suzan Verberne

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
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
Cooperative Partial Task-Offloading for Heterogeneous Industrial Robotic MEC System Using Spectral and Energy-Efficient Federated Learning
2023 Globecom conference-paper Computer Science IoT and Edge/Fog Computing

Mohsen Pourghasemian, Haris Gacanin, Erma Perenda

4

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
Artificial Intelligence for Diagnostic Support in Neuropathology
2026 Qucosa (Saxon State and University Library Dresden) dissertation Computer Science AI in cancer detection Open access

Katherine J. Hewitt

0

citations
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Marco Pleines, Matthias Pallasch, Fränk Zimmer, Mike Preuß

0

citations
Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study
2022 JMIR Medical Informatics article Computer Science Machine Learning in Healthcare Open access

Ahmad Ayad, Ahmed Hallawa, Arne Peine, Lukas Märtin, Lejla Begic Fazlic, Guido Dartmann, +2 more

14

citations
Turbocharger Control for Emission Reduction Based on Deep Reinforcement Learning
2023 IFAC-PapersOnLine article Computer Science Reinforcement Learning in Robotics Open access

Mario Picerno, Lucas Koch, Kevin Badalian, Sung-Yong Lee, Jakob Andert

6

citations
AoI-Based Scalable Edge Computing Resource Allocation in Heterogeneous IIoT Systems
2025 IEEE Wireless Communications and Networking Conference conference-paper Computer Science IoT and Edge/Fog Computing

Daniel S. Zakamulin, Mohsen Pourghasemian, Firooz B. Saghezchi, Haris Gacanin

1

citations
A Simulation Tool to Provide Alternative Products in Out-of-Stock Situations for B2B Companies
2021 Winter Simulation Conference conference-paper Computer Science Recommender Systems and Techniques

Sebastian Pinto Guzman, Verónica Gil-Costa, Mauricio Marı́n

0

citations
Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Medical Image Segmentation Techniques Open access

Felix Terhag

0

citations
Editorial
2023 Computational Intelligence editorial Computer Science Robotic Path Planning Algorithms

Meng Joo Er, Zhaojie Ju, Alexander Ferrein

0

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 Computer Methods in Applied Mechanics and Engineering article Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

37

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations
Smart Summary: A Distributed Medical Recommender System for Patients in the ICU Using Neural Networks
2024 IEEE Access article Computer Science Machine Learning in Healthcare Open access

Ahmad Ayad, Yu-Hsuan Tai, Guido Dartmann, Anke Schmeink

5

citations
Integrating IoT, large language models, and knowledge graphs for future smart districts: A semantic approach for energy performance assessment
2025 Journal of Physics Conference Series conference-paper Computer Science Semantic Web and Ontologies Open access

Payam Fatehi Karjou, Max Berktold, Sina Khodadad Saryazdi, Martin Rätz, Dirk Müller

0

citations
Global birdsong embeddings enable superior transfer learning for bioacoustic classification
2023 Scientific Reports article Computer Science Music and Audio Processing Open access

Burooj Ghani, Stefan Kahl, Holger Klinck

165

citations
Combining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling
2025 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access

Kajetan Schweighofer, Natalia Dyubankova, Gerard J. P. van Westen, Herman van Vlijmen

8

citations