Bogdan Gabrys
Identifiers
- name variant Bogdan Gabrys 0.60 · backfill
Papers (43)
- Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting cs.LG · 2026 · author #5
- Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring q-bio.QM · 2025 · author #5
- The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs cs.CL · 2025 · author #4
- Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review cs.LG · 2025 · author #4
- Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems cs.AI · 2024 · author #2
- Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production cs.LG · 2024 · author #3
- Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes q-bio.QM · 2024 · author #4
- Transfer Learning and the Early Estimation of Single-Photon Source Quality using Machine Learning Methods physics.optics · 2024 · author #4
- Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities cs.LG · 2023 · author #5
- Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia cs.SI · 2023 · author #3
- Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems cs.AI · 2023 · author #2
- Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules cs.SI · 2023 · author #2
- Harnessing Data Augmentation to Quantify Uncertainty in the Early Estimation of Single-Photon Source Quality physics.optics · 2023 · author #4
- Review and Assessment of Digital Twin--Oriented Social Network Simulators cs.SI · 2023 · author #2
- A Network Science perspective of Graph Convolutional Networks: A survey cs.SI · 2023 · author #2
- The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry cs.LG · 2022 · author #4
- hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms cs.LG · 2022 · author #2
- On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning cs.LG · 2022 · author #4
- The Roles and Modes of Human Interactions with Automated Machine Learning Systems cs.LG · 2022 · author #3
- Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey eess.SY · 2022 · author #2
- Automated Deep Learning: Neural Architecture Search Is Not the End cs.LG · 2021 · author #4
- Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning cs.LG · 2021 · author #4
- Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems eess.SY · 2021 · author #6
- AutonoML: Towards an Integrated Framework for Autonomous Machine Learning cs.LG · 2020 · author #3
- AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation cs.LG · 2020 · author #2
- Measuring Quadrangle Formation in Complex Networks cs.SI · 2020 · author #2
- An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data cs.LG · 2020 · author #2
- An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network cs.LG · 2020 · author #2
- NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size cs.LG · 2020 · author #4
- A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems cs.LG · 2020 · author #3
- Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification eess.SP · 2020 · author #2
- AutoHAS: Efficient Hyperparameter and Architecture Search cs.CV · 2020 · author #5
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction cs.SI · 2020 · author #5
- Random Hyperboxes cs.LG · 2020 · author #2
- Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey cs.SI · 2020 · author #2
- Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule cs.LG · 2020 · author #2
- AVATAR -- Machine Learning Pipeline Evaluation Using Surrogate Model cs.LG · 2020 · author #5
- An improved online learning algorithm for general fuzzy min-max neural network cs.LG · 2020 · author #3
- A comparative study of general fuzzy min-max neural networks for pattern classification problems cs.LG · 2019 · author #2
- An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network cs.LG · 2019 · author #3
- Hyperbox based machine learning algorithms: A comprehensive survey cs.LG · 2019 · author #3
- Automated Adaptation Strategies for Stream Learning cs.LG · 2018 · author #2
- Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA cs.LG · 2016 · author #3
Mentions
- 2509.02606 #5 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2508.08285 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2506.12322 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2411.06148 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2411.01404 #3 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2409.02149 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2408.11322 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2306.15683 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2310.09991 #5 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2310.09987 #3 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2309.13229 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2308.11034 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2301.04824 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2305.03234 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2101.02939 #6 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2211.04148 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2210.02704 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2208.04376 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2112.09245 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2205.04139 #3 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2006.00695 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2012.12600 #3 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2202.09363 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2005.07496 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 1812.10793 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2105.00282 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2006.03656 #5 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2009.00437 #4 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2011.11846 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2011.10763 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2009.14670 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2009.00237 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2007.10818 #3 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2006.12366 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2006.01963 #5 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2003.11333 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2001.11158 #5 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2001.02391 #3 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 1907.13308 #2 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 1905.12170 #3 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 1901.11303 #3 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 1612.08789 #3 · arxiv_oai · confidence 0.70 Bogdan Gabrys
- 2606.26520 #5 · arxiv_oai · confidence 0.70 Bogdan Gabrys
Frequent Coauthors
- Katarzyna Musial 20 shared papers
- Thanh Tung Khuat 17 shared papers
- David Jacob Kedziora 8 shared papers
- Jiaqi Wen 5 shared papers
- Ellen Otte 4 shared papers
- Tien-Dung Nguyen 4 shared papers
- Johnny Peng 3 shared papers
- Mingshan Jia 3 shared papers
- Robert Bassett 3 shared papers
- Xuanyi Dong 3 shared papers
- Anna Musia{\l} 2 shared papers
- Fang Chen 2 shared papers
- Marcin Budka 2 shared papers
- Wojciech Rudno-Rudzi\'nski 2 shared papers
- Abbas Raza Ali 1 shared papers
- Adams Wei Yu 1 shared papers
- Albert Sawczyn 1 shared papers
- Alexander Scriven 1 shared papers
- Ali Nik-Khorasani 1 shared papers
- Alistair Grevis-James 1 shared papers