| Connecting the Dots--Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering A Beer, A Draganov, E Hohma, P Jahn, CMM Frey, I Assent Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 32 | 2023 |
| Ucode: Unified community detection with graph convolutional networks A Moradan, A Draganov, D Mottin, I Assent Machine Learning 112 (12), 5057-5080, 2023 | 27 | 2023 |
| Feature learning for enhanced security in the Internet of Things E Mattei, C Dalton, A Draganov, B Marin, M Tinston, G Harrison, ... 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 17 | 2019 |
| ChaRRNets: Channel robust representation networks for RF fingerprinting CN Brown, E Mattei, A Draganov arXiv preprint arXiv:2105.03568, 2021 | 16 | 2021 |
| ActUp: Analyzing and Consolidating tSNE and UMAP A Draganov, J Jørgensen, K Scheel, D Mottin, I Assent, T Berry, C Aslay International Joint Conference on Artificial Intelligence 32, 2023 | 14 | 2023 |
| A tight vc-dimension analysis of clustering coresets with applications V Cohen-Addad, A Draganov, M Russo, D Saulpic, C Schwiegelshohn Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2025 | 10 | 2025 |
| Settling Time vs. Accuracy Tradeoffs for Clustering Big Data A Draganov, D Saulpic, C Schwiegelshohn 2024 ACM SIGMOD/PODS Conference, 2024 | 10 | 2024 |
| Relating tSNE and UMAP to Classical Dimensionality Reduction A Draganov, S Dohn arXiv preprint arXiv:2306.11898, 2023 | 9* | 2023 |
| The hidden pitfalls of the cosine similarity loss A Draganov, S Vadgama, EJ Bekkers arXiv preprint arXiv:2406.16468, 2024 | 7 | 2024 |
| On the Importance of Embedding Norms in Self-Supervised Learning A Draganov, S Vadgama, S Damrich, JN Böhm, L Maes, D Kobak, ... The Forty-second International Conference on Machine Learning, 2025 | 2 | 2025 |
| Ultrametric Cluster Hierarchies: I Want ‘em All! A Draganov, P Weber, RSM Jørgensen, A Beer, C Plant, I Assent The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 | 1* | 2025 |
| Node Embeddings via Neighbor Embeddings JN Böhm, M Keute, A Guzmán, S Damrich, A Draganov, D Kobak arXiv preprint arXiv:2503.23822, 2025 | 1 | 2025 |
| Bridging the Gap Between Theory and Practice in Unsupervised Learning’ AA Draganov | | 2024 |
| DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics A Beer, O Palotás, A Maldonado, A Draganov, I Assent 2024 IEEE 40th International Conference on Data Engineering (ICDE), 1143-1156, 2024 | | 2024 |
