Dimitrios Mavroeidis
According to our database1,
Dimitrios Mavroeidis
authored at least 31 papers
between 2003 and 2023.
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Bibliography
2023
Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
A robust model selection framework for fault detection and system health monitoring with limited failure examples: Heterogeneous data fusion and formal sensitivity bounds.
Eng. Appl. Artif. Intell., 2022
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features.
Proceedings of the Cancer Prevention Through Early Detection, 2022
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
2021
Comput. Vis. Image Underst., 2021
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.
Comput. Medical Imaging Graph., 2021
2020
CoRR, 2020
Scene Understanding and Interaction Anticipation from First Person Vision (short paper).
Proceedings of the First Workshop on Smart Personal Health Interfaces co-located with 25th International Conference on Intelligent User Interfaces, 2020
2018
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.
CoRR, 2018
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
2017
Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines.
CoRR, 2017
Proceedings of the Machine Learning, Optimization, and Big Data, 2017
2015
2014
Feature selection for k-means clustering stability: theoretical analysis and an algorithm.
Data Min. Knowl. Discov., 2014
2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
2012
A Sequential Sampling Framework for Spectral k-Means Based on Efficient Bootstrap Accuracy Estimations: Application to Distributed Clustering.
ACM Trans. Knowl. Discov. Data, 2012
PCA, Eigenvector Localization and Clustering for Side-Channel Attacks on Cryptographic Hardware Devices.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Mind the Eigen-Gap, or How to Accelerate Semi-Supervised Spectral Learning Algorithms.
Proceedings of the IJCAI 2011, 2011
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
2010
Enhancing the stability and efficiency of spectral ordering with partial supervision and feature selection.
Knowl. Inf. Syst., 2010
Data Min. Knowl. Discov., 2010
2009
PhD thesis, 2009
2008
Enhancing the Stability of Spectral Ordering with Sparsification and Partial Supervision: Application to Paleontological Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the Adaptive Multimedial Retrieval: Retrieval, 2007
2005
Word Sense Disambiguation for Exploiting Hierarchical Thesauri in Text Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Proceedings of the Semantics, Web and Mining, Joint International Workshops, 2005
2003
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003