Dimitrios Mavroeidis

According to our database1, Dimitrios Mavroeidis authored at least 25 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Predicting the future from first person (egocentric) vision: A survey.
Comput. Vis. Image Underst., 2021

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.
Comput. Medical Imaging Graph., 2021

2020
Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition.
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
Anomaly Detection for imbalanced datasets with Deep Generative Models.
CoRR, 2018

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.
CoRR, 2018

Improving Clinical Subjects Clustering by Learning and Optimizing Feature Weights.
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

Improving Support Vector Machines Performance Using Local Search.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

2015
Multiscale event detection in social media.
Data Min. Knowl. Discov., 2015

2014
Feature selection for k-means clustering stability: theoretical analysis and an algorithm.
Data Min. Knowl. Discov., 2014

2013
SaferCity: A System for Detecting and Analyzing Incidents from Social Media.
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
A Novel Stability Based Feature Selection Framework for k-means Clustering.
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

DEEN: A Simple and Fast Algorithm for Network Community Detection.
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

Accelerating spectral clustering with partial supervision.
Data Min. Knowl. Discov., 2010

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
Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA.
Proceedings of the Machine Learning: ECML 2007, 2007

Designing a Peer-to-Peer Architecture for Distributed Image Retrieval.
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

Introducing Semantics in Web Personalization: The Role of Ontologies.
Proceedings of the Semantics, Web and Mining, Joint International Workshops, 2005

2003
Improved Distances for Structured Data.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003


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