Andrew Draganov

According to our database, Andrew Draganov authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Settling Time vs. Accuracy Tradeoffs for Clustering Big Data.

Andrew Draganov, David Saulpic, Chris Schwiegelshohn

Proc. ACM Manag. Data, 2024

The Hidden Pitfalls of the Cosine Similarity Loss.

Andrew Draganov, Sharvaree P. Vadgama, Erik J. Bekkers

CoRR, 2024

DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics.

Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

UCoDe: unified community detection with graph convolutional networks.

Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent

Mach. Learn., December, 2023

Unexplainable Explanations: Towards Interpreting tSNE and UMAP Embeddings.

Andrew Draganov, Simon Dohn

CoRR, 2023

Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.

Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ActUp: Analyzing and Consolidating tSNE and UMAP.

Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

GiDR-DUN; Gradient Dimensionality Reduction - Differences and Unification.

Andrew Draganov, Tyrus Berry, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Ira Assent, Davide Mottin

CoRR, 2022

2021

ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting.

Carter N. Brown, Enrico Mattei, Andrew Draganov

CoRR, 2021

2020

Open set recognition through unsupervised and class-distance learning.

Andrew Draganov, Carter Brown, Enrico Mattei, Cass Dalton, Jaspreet Ranjit

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020

2019

Feature Learning for Enhanced Security in the Internet of Things.

Enrico Mattei, Cass Dalton, Andrew Draganov, Brent Marin, Michael Tinston, Greg Harrison, Bob Smarrelli, Marc Harlacher

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019