Andrew Draganov

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Cosine Similarity

Top Venues

Proc. ACM Manag. Data

Publications

Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent
DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. ICDE (2024)
Andrew Draganov, David Saulpic, Chris Schwiegelshohn
Settling Time vs. Accuracy Tradeoffs for Clustering Big Data. CoRR (2024)
Andrew Draganov, David Saulpic, Chris Schwiegelshohn
Settling Time vs. Accuracy Tradeoffs for Clustering Big Data. Proc. ACM Manag. Data 2 (3) (2024)
Andrew Draganov, Sharvaree P. Vadgama, Erik J. Bekkers
The Hidden Pitfalls of the Cosine Similarity Loss. CoRR (2024)
Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay
ActUp: Analyzing and Consolidating tSNE and UMAP. CoRR (2023)
Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent
UCoDe: unified community detection with graph convolutional networks. Mach. Learn. 112 (12) (2023)
Andrew Draganov, Simon Dohn
Unexplainable Explanations: Towards Interpreting tSNE and UMAP Embeddings. CoRR (2023)
Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent
Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. KDD (2023)
Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay
ActUp: Analyzing and Consolidating tSNE and UMAP. IJCAI (2023)
Andrew Draganov, Tyrus Berry, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Ira Assent, Davide Mottin
GiDR-DUN; Gradient Dimensionality Reduction - Differences and Unification. CoRR (2022)
Carter N. Brown, Enrico Mattei, Andrew Draganov
ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting. CoRR (2021)
Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent
UCoDe: Unified Community Detection with Graph Convolutional Networks. CoRR (2021)
Andrew Draganov, Carter Brown, Enrico Mattei, Cass Dalton, Jaspreet Ranjit
Open set recognition through unsupervised and class-distance learning. WiseML@WiSec (2020)
Enrico Mattei, Cass Dalton, Andrew Draganov, Brent Marin, Michael Tinston, Greg Harrison, Bob Smarrelli, Marc Harlacher
Feature Learning for Enhanced Security in the Internet of Things. GlobalSIP (2019)