Gabrys, Bogdan
- Hallucination Detection in LLMs Using Spectral Features of Attention Maps
2025/02/24 by Jakub Binkowski, Binkowski, Jakub, Denis Janiak +7 · 9 citations
Computer Science · Neuroscience · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
2020/06/02 by Hongxu Chen, Chen, Hongxu, Hongzhi Yin +9 · 3 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Recommender Systems and Techniques
- A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems
2020/07/17 by Abbas Raza Ali, Marcin Budka, Ali, Abbas Raza +3 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia
2023/10/16 by Mingshan Jia, Pasquale De Meo, Jia, Mingshan +5 · 2 citations
Business, Management and Accounting · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Crime, Illicit Activities, and Governance #FOS: Computer and information sciences #Social and Information Networks (cs.SI) #Supply Chain Resilience and Risk Management
- FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
2025/03/21 by Sawczyn, Albert, Binkowski, Jakub, Janiak, Denis +2 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Hyperbox based machine learning algorithms: A comprehensive survey
2019/01/31 by Khuat, Thanh Tung, Ruta, Dymitr, Gabrys, Bogdan · 1 citation
#68T20 #68T30 #68T37 #68W27 #FOS: Computer and information sciences #I.2.1 #I.2.6 #I.2.m #I.5.0 #I.5.1 #I.5.2 #I.5.3 #I.5.4 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey
2022/02/15 by Jiaqi Wen, Wen, Jiaqi, Bogdan Gabryś +3 · 1 citation
Engineering · #Artificial Intelligence (cs.AI) #Digital Transformation in Industry #FOS: Computer and information sciences #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
- The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
2025/08/01 by Janiak, Denis, Binkowski, Jakub, Sawczyn, Albert +3 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
2020/12/23 by David Jacob Kedziora, Kedziora, David Jacob, Katarzyna Musiał +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Software Engineering Research
- Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review
2025/06/14 by Peng, Johnny, Khuat, Thanh Tung, Musial, Katarzyna +1 · 3 citations
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Transgenic Plants and Applications #Viral Infectious Diseases and Gene Expression in Insects #vaccines and immunoinformatics approaches
- The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry
2022/11/08 by Alexander Scriven, Scriven, Alexander, David Jacob Kedziora +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification