| 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 | 48 | 2018 |
| 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 | 20 | 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 35 (9), 9295-9306, 2022 | 12 | 2022 |
| ptype: probabilistic type inference T Ceritli, CKI Williams, J Geddes Data Mining and Knowledge Discovery 34 (3), 870-904, 2020 | 8 | 2020 |
| 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 | 7 | 2022 |
| 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 | 7 | 2016 |
| 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 |
| 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 | 6* | 2016 |
| Randomized asymmetric chain of lora: The first meaningful theoretical framework for low-rank adaptation G Malinovsky, U Michieli, HAAK Hammoud, T Ceritli, H Elesedy, M Ozay, ... arXiv preprint arXiv:2410.08305, 2024 | 4 | 2024 |
| Sum conditioned Poisson factorization G Çapan, S Akbayrak, TY Ceritli, AT Cemgil Latent Variable Analysis and Signal Separation: 14th International …, 2018 | 4 | 2018 |
| Identifying the units of measurement in tabular data T Ceritli, CKI Williams arXiv preprint arXiv:2111.11959, 2021 | 3 | 2021 |
| A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune T Ceritli, S Ozkan, J Min, E Noh, C Min, M Ozay Findings of the Association for Computational Linguistics: EMNLP 2024, 15819 …, 2024 | 1 | 2024 |
| Modeling bounded data with sum conditioned poisson factorization TY Ceritli Fen Bilimleri Enstitüsü, 2018 | 1 | 2018 |
| 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 |
| A Study of Improving The Privacy-Utility Trade-off of Task-specific Models with Learnable Privacy S Ozkan, T Ceritli, J Min, E Noh, JM Cho, D Park, M Ozay ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | | 2025 |
| Hyper-Refinement for Low-Rank Adaptation S Ozkan, T Ceritli, J Min, E Noh, JM Cho, D Park, M Ozay ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | | 2025 |
| Mode Connections For Clinical Incremental Learning: Lessons From The COVID-19 Pandemic A Thakur, C Wang, T Ceritli, D Clifton, D Eyre medRxiv, 2023.05. 05.23289583, 2023 | | 2023 |
| Probabilistic type inference for the construction of data dictionaries TY Ceritli The University of Edinburgh, 2021 | | 2021 |
| ptype-cat: Inferring the Type and Values of Categorical Variables T Ceritli, CKI Williams arXiv preprint arXiv:2111.11956, 2021 | | 2021 |
Ali Taylan CemgilResearch Scientist, DeepMind UKgoogle.com의 이메일 확인됨
