| A Bayesian change point model for detecting SIP-based DDoS attacks B Kurt, Ç Yıldız, TY Ceritli, B Sankur, AT Cemgil Digital Signal Processing 77, 48-62, 2018 | 42 | 2018 |
| ptype: probabilistic type inference T Ceritli, CKI Williams, J Geddes Data Mining and Knowledge Discovery 34 (3), 870-904, 2020 | 6 | 2020 |
| A real-time SIP network simulation and monitoring system Ç Yıldız, B Kurt, TY Ceritli, B Sankur, AT Cemgil SoftwareX 8, 21-25, 2018 | 6 | 2018 |
| A probabilistic SIP network simulation system B Kurt, Ç Yıldız, TY Ceritli, M Yamaç, M Semerci, B Sankur, AT Cemgil 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 5 | 2016 |
| Attack detection in VOIP networks using Bayesian multiple change-point models Ç Yıldız, TY Ceritli, B Kurt, B Sankur, AT Cemgil 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 5 | 2016 |
| Bayesçi Çoklu Degisim Noktası Modeliyle VoIP Aglarda Saldırı Tespiti Attack Detection in VOIP Networks Using Bayesian Multiple Change-Point Models Ç Yıldız, TY Ceritli, B Kurt, B Sankur, AT Cemgil | 5* | 2016 |
| Sum conditioned Poisson factorization G Çapan, S Akbayrak, TY Ceritli, AT Cemgil Latent Variable Analysis and Signal Separation: 14th International …, 2018 | 3 | 2018 |
| Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling T Ceritli, AP Creagh, DA Clifton 1st Workshop on Healthcare AI and COVID-19, ICML 2022, PMLR 184, 41-53, 2022 | 2 | 2022 |
| Identifying the units of measurement in tabular data T Ceritli, CKI Williams arXiv preprint arXiv:2111.11959, 2021 | 1 | 2021 |
| Modeling Bounded Data with Sum Conditioned Poisson Factorization TY Ceritli Bogaziçi University, 2017 | 1 | 2017 |
| Change Point Detection for Monitoring SIP Networks Ç Yıldız, M Semerci, TY Ceritli, B Kurt, AT Cemgil, B Sankur European Conference on Networks and Communications, 2016 | 1 | 2016 |
| A Dictionary Learning Based Anomaly Detection Method for Network Traffic Data TY Ceritli, B Kurt, Ç Yıldız, B Sankur, AT Cemgil 2016, 33rd International Conference on Machine Learning (ICML), 2016 | 1 | 2016 |
| Synthesizing Mixed-type Electronic Health Records using Diffusion Models T Ceritli, GO Ghosheh, VK Chauhan, T Zhu, AP Creagh, DA Clifton arXiv preprint arXiv:2302.14679, 2023 | | 2023 |
| Mode Connections For Clinical Incremental Learning: Lessons From The COVID-19 Pandemic A Thakur, C Wang, T Certili, DW Eyre, D Clifton medRxiv, 2023.05. 05.23289583, 2023 | | 2023 |
| AI Assistants: A Framework for Semi-Automated Data Wrangling T Petricek, GJJ van Den Burg, A Nazábal, T Ceritli, E Jiménez-Ruiz, ... IEEE Transactions on Knowledge and Data Engineering, 2022 | | 2022 |
| ptype-cat: Inferring the Type and Values of Categorical Variables T Ceritli, CKI Williams arXiv preprint arXiv:2111.11956, 2021 | | 2021 |
| Probabilistic type inference for the construction of data dictionaries TY Ceritli University of Edinburgh, 2021 | | 2021 |
Ali Taylan CemgilResearch Scientist, DeepMind UKVerified email at google.com
