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A. Taylan Cemgil
Ali Taylan Cemgil
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- affiliation: Bogaziçi University, Department of Computer Engineering
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2020 – today
- 2024
- [j50]Ertug Karamatli, Ali Taylan Cemgil, Serap Kirbiz:
Source separation and classification using generative adversarial networks and weak class supervision. Digit. Signal Process. 154: 104694 (2024) - [c122]Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Ali Taylan Cemgil, Sven Gowal, Olivia Wiles:
Evaluating Model Bias Requires Characterizing its Mistakes. ICML 2024 - [i34]Yasin Abbasi-Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev:
Mitigating LLM Hallucinations via Conformal Abstention. CoRR abs/2405.01563 (2024) - [i33]Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, A. Taylan Cemgil, Sven Gowal, Olivia Wiles:
Evaluating Model Bias Requires Characterizing its Mistakes. CoRR abs/2407.10633 (2024) - 2023
- [j49]Melih Barsbey, Ali Taylan Cemgil:
Modeling Hierarchical Seasonality Through Low-Rank Tensor Decompositions in Time Series Analysis. IEEE Access 11: 85770-85784 (2023) - [j48]Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, A. Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin A. Riedmiller, Oriol Vinyals, David Silver:
Faster sorting algorithms discovered using deep reinforcement learning. Nat. 618(7964): 257-263 (2023) - [j47]F. Serhan Danis, Cem Ersoy, A. Taylan Cemgil:
Probabilistic indoor tracking of Bluetooth Low-Energy beacons. Perform. Evaluation 162: 102374 (2023) - [j46]David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet:
Conformal prediction under ambiguous ground truth. Trans. Mach. Learn. Res. 2023 (2023) - [c121]Simon Geisler, Yujia Li, Daniel J. Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru:
Transformers Meet Directed Graphs. ICML 2023: 11144-11172 - [i32]Simon Geisler, Yujia Li, Daniel J. Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru:
Transformers Meet Directed Graphs. CoRR abs/2302.00049 (2023) - [i31]Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal:
Generative models improve fairness of medical classifiers under distribution shifts. CoRR abs/2304.09218 (2023) - [i30]David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam:
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR abs/2307.02191 (2023) - [i29]David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet:
Conformal prediction under ambiguous ground truth. CoRR abs/2307.09302 (2023) - 2022
- [j45]Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens:
Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. Medical Image Anal. 75: 102274 (2022) - [j44]F. Serhan Danis, Ahmet Teoman Naskali, A. Taylan Cemgil, Cem Ersoy:
An indoor localization dataset and data collection framework with high precision position annotation. Pervasive Mob. Comput. 81: 101554 (2022) - [j43]Gökhan Çapan, Ilker Gündogdu, Ali Caner Türkmen, Ali Taylan Cemgil:
Dirichlet-Luce choice model for learning from interactions. User Model. User Adapt. Interact. 32(4): 611-648 (2022) - [c120]Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham:
Role of Human-AI Interaction in Selective Prediction. AAAI 2022: 5286-5294 - [c119]David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet:
Learning Optimal Conformal Classifiers. ICLR 2022 - [c118]Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, Ali Taylan Cemgil:
A Fine-Grained Analysis on Distribution Shift. ICLR 2022 - [c117]Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil:
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. ICML 2022: 4421-4435 - [c116]F. Serhan Danis, Cem Ersoy, A. Taylan Cemgil:
Tracking a Mobile Beacon: A Purely Probabilistic Approach. MASCOTS 2022: 160-167 - [i28]Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil:
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. CoRR abs/2202.13711 (2022) - [i27]F. Serhan Danis, Ahmet Teoman Naskali, A. Taylan Cemgil, Cem Ersoy:
An Indoor Localization Dataset and Data Collection Framework with High Precision Position Annotation. CoRR abs/2209.02270 (2022) - 2021
- [j42]F. Serhan Danis, A. Taylan Cemgil, Cem Ersoy:
Adaptive Sequential Monte Carlo Filter for Indoor Positioning and Tracking With Bluetooth Low Energy Beacons. IEEE Access 9: 37022-37038 (2021) - [j41]Sinan Yildirim, M. Burak Kurutmaz, Melih Barsbey, Umut Simsekli, A. Taylan Cemgil:
Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors. IEEE J. Sel. Top. Signal Process. 15(3): 560-573 (2021) - [c115]Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet:
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains. UAI 2021: 707-717 - [i26]Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens:
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions. CoRR abs/2104.03829 (2021) - [i25]David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet:
Learning Optimal Conformal Classifiers. CoRR abs/2110.09192 (2021) - [i24]Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, A. Taylan Cemgil:
A Fine-Grained Analysis on Distribution Shift. CoRR abs/2110.11328 (2021) - [i23]Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham:
Role of Human-AI Interaction in Selective Prediction. CoRR abs/2112.06751 (2021) - 2020
- [j40]Ali Caner Türkmen, Gökhan Çapan, Ali Taylan Cemgil:
Clustering Event Streams With Low Rank Hawkes Processes. IEEE Signal Process. Lett. 27: 1575-1579 (2020) - [j39]Beyza Ermis, A. Taylan Cemgil:
Data Sharing via Differentially Private Coupled Matrix Factorization. ACM Trans. Knowl. Discov. Data 14(3): 28:1-28:27 (2020) - [c114]Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli:
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR 2020: 1208-1217 - [c113]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy (Dj) Dvijotham, Pushmeet Kohli:
Adversarially Robust Representations with Smooth Encoders. ICLR 2020 - [c112]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli:
The Autoencoding Variational Autoencoder. NeurIPS 2020 - [c111]Çaglar Hizli, Ertug Karamatli, Ali Taylan Cemgil, Serap Kirbiz:
Joint Source Separation and Classification Using Variational Autoencoders. SIU 2020: 1-4 - [i22]Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, A. Taylan Cemgil, S. M. Ali Eslami, Olaf Ronneberger:
Contrastive Training for Improved Out-of-Distribution Detection. CoRR abs/2007.05566 (2020) - [i21]Ali Caner Türkmen, Tim Januschowski, Yuyang Wang, Ali Taylan Cemgil:
Intermittent Demand Forecasting with Renewal Processes. CoRR abs/2010.01550 (2020) - [i20]Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet:
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains. CoRR abs/2010.01845 (2020) - [i19]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli:
Autoencoding Variational Autoencoder. CoRR abs/2012.03715 (2020) - [i18]Gökhan Çapan, Özge Bozal, Ilker Gündogdu, Ali Taylan Cemgil:
Towards Fair Personalization by Avoiding Feedback Loops. CoRR abs/2012.12862 (2020)
2010 – 2019
- 2019
- [j38]Kamer Kaya, Figen Öztoprak, S. Ilker Birbil, A. Taylan Cemgil, Umut Simsekli, Nurdan Kuru, Hazal Koptagel, M. Kaan Öztürk:
A framework for parallel second order incremental optimization algorithms for solving partially separable problems. Comput. Optim. Appl. 72(3): 675-705 (2019) - [j37]Murat Semerci, Ali Taylan Cemgil, Bülent Sankur:
Discriminative tensor decomposition with large margin. Digit. Signal Process. 95 (2019) - [j36]Ertug Karamatli, Ali Taylan Cemgil, Serap Kirbiz:
Audio Source Separation Using Variational Autoencoders and Weak Class Supervision. IEEE Signal Process. Lett. 26(9): 1349-1353 (2019) - [j35]Baris Kurt, Ali Taylan Cemgil, Günes Karabulut-Kurt, Engin Zeydan:
Estimating Network Flow Length Distributions via Bayesian Nonnegative Tensor Factorization. Wirel. Commun. Mob. Comput. 2019: 8458016:1-8458016:17 (2019) - [c110]Sila Guler, F. Serhan Danis, Ali Taylan Cemgil:
Radio map estimation with neural networks and active learning for indoor localization. IPIN (Short Papers/Work-in-Progress Papers) 2019: 25-31 - [c109]Gonul Ayci, Abdullatif Köksal, M. Melih Mutlu, Burak Suyunu, A. Taylan Cemgil:
Active Learning with Bayesian Nonnegative Matrix Factorization for Recommender Systems. SIU 2019: 1-4 - [c108]Caglar Hizli, A. Taylan Cemgil, Serap Kirbiz:
Model selection for relational data factorization. SIU 2019: 1-4 - [c107]Ertug Karamatli, Ali Taylan Cemgil, Serap Kirbiz:
Weak Label Supervision for Monaural Source Separation Using Non-negative Denoising Variational Autoencoders. SIU 2019: 1-4 - [c106]Ömer Kirbiyik, Enis Simsar, A. Taylan Cemgil:
Comparison of Deep Generative Models for the Generation of Handwritten Character Images. SIU 2019: 1-4 - [i17]Ali Taylan Cemgil, Mehmet Burak Kurutmaz, Sinan Yildirim, Melih Barsbey, Umut Simsekli:
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns. CoRR abs/1903.04478 (2019) - [i16]Gökhan Çapan, Ilker Gündogdu, Ali Caner Türkmen, Cagri Sofuoglu, Ali Taylan Cemgil:
A Bayesian Choice Model for Eliminating Feedback Loops. CoRR abs/1908.05640 (2019) - [i15]Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli:
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR abs/1912.03192 (2019) - 2018
- [j34]Murat Semerci, Ali Taylan Cemgil, Bülent Sankur:
An intelligent cyber security system against DDoS attacks in SIP networks. Comput. Networks 136: 137-154 (2018) - [j33]Baris Kurt, Çagatay Yildiz, Taha Yusuf Ceritli, Bülent Sankur, Ali Taylan Cemgil:
A Bayesian change point model for detecting SIP-based DDoS attacks. Digit. Signal Process. 77: 48-62 (2018) - [j32]Dogac Basaran, Ali Taylan Cemgil, Emin Anarim:
Multiresolution alignment for multiple unsynchronized audio sequences using sequential Monte Carlo samplers. Digit. Signal Process. 77: 77-85 (2018) - [j31]Çagatay Yildiz, Baris Kurt, Taha Yusuf Ceritli, Bülent Sankur, Ali Taylan Cemgil:
A real-time SIP network simulation and monitoring system. SoftwareX 8: 21-25 (2018) - [j30]Dogac Basaran, Ali Taylan Cemgil, Emin Anarim:
Multiresolution alignment for multiple unsynchronized audio sequences using Sequential Monte Carlo samplers. SoftwareX 8: 33-38 (2018) - [j29]Thanh Huy Nguyen, Umut Simsekli, Gaël Richard, Ali Taylan Cemgil:
Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration. IEEE Signal Process. Lett. 25(5): 725-729 (2018) - [c105]Gökhan Çapan, Semih Akbayrak, Taha Yusuf Ceritli, Ali Taylan Cemgil:
Sum Conditioned Poisson Factorization. LVA/ICA 2018: 24-35 - [c104]Burak Suyunu, Gonul Ayci, Mine Ögretir, Ali Taylan Cemgil, Suzan Uskudarli, Hamza Zeytinoglu, Bülent Özel, Arman Boyaci:
Semi-Supervised Psychometric Scoring of Document Collections. ICDM Workshops 2018: 1367-1374 - [c103]Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, A. Taylan Cemgil, Gaël Richard:
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. ICML 2018: 4681-4690 - [c102]Mehmet Turan, Yasin Almalioglu, Hunter Gilbert, Helder Araújo, A. Taylan Cemgil, Metin Sitti:
EndoSensorFusion: Particle Filtering-Based Multi-Sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots. ICRA 2018: 1-8 - [c101]Ali Caner Türkmen, Ali Taylan Cemgil:
Testing for Self-excitation in Financial Events: A Bayesian Approach. MIDAS/PAP@PKDD/ECML 2018: 95-102 - [c100]Irem Islek, Ertug Karamatli, Ali Taylan Cemgil:
Large scale ad click prediction system. SIU 2018: 1-4 - [c99]Onur Poyraz, M. Burak Kurutmaz, A. Taylan Cemgil, Sinan Selamoglu:
Anomaly detection on wind turbines. SIU 2018: 1-4 - [c98]Bugrahan Sahin, Ali Taylan Cemgil:
Approaches for reducing the computational budget of the metropolis hastings algorithm. SIU 2018: 1-4 - [c97]Burak Suyunu, Gonul Ayci, A. Taylan Cemgil:
Active selection of elements for Bayesian nonnegative matrix factorization. SIU 2018: 1-4 - [i14]Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, Gaël Richard, A. Taylan Cemgil:
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. CoRR abs/1806.02617 (2018) - [i13]Ertug Karamatli, Ali Taylan Cemgil, Serap Kirbiz:
Weak Label Supervision for Monaural Source Separation Using Non-negative Denoising Variational Autoencoders. CoRR abs/1810.13104 (2018) - 2017
- [j28]F. Serhan Danis, Ali Taylan Cemgil:
Model-Based Localization and Tracking Using Bluetooth Low-Energy Beacons. Sensors 17(11): 2484 (2017) - [c96]Mehmet Yamaç, Bülent Sankur, Ali Taylan Cemgil:
Malicious users discrimination in organizec attacks using structured sparsity. EUSIPCO 2017: 266-270 - [c95]Alper Kamil Bozkurt, Ali Taylan Cemgil:
Distributed particle filtering under real-time constraints. EUSIPCO 2017: 1584-1588 - [c94]Umut Simsekli, Alain Durmus, Roland Badeau, Gaël Richard, Eric Moulines, A. Taylan Cemgil:
Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization. ICASSP 2017: 2242-2246 - [c93]M. Burak Kurutmaz, A. Taylan Cemgil, Ahmet Cezayirli, Ezgi Bingöl, Sait Sener:
Outlier detection on power consumption via non-negative tensor factorization models. SIU 2017: 1-4 - [c92]Mine Ögretir, Ali Taylan Cemgil:
Comparison of collaborative deep learning and nonnegative matrix factorization for recommender systems. SIU 2017: 1-4 - [c91]Kemal Oksuz, Ali Taylan Cemgil:
Deficiency aware subpattern assignment. SIU 2017: 1-4 - [c90]Cagri Sofuoglu, Ali Taylan Cemgil:
Change-point detection via switching Kalman filters. SIU 2017: 1-4 - [i12]Mehmet Turan, Yasin Almalioglu, Hunter Gilbert, Helder Araújo, A. Taylan Cemgil, Metin Sitti:
EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots. CoRR abs/1709.03401 (2017) - [i11]Beyza Ermis, Ali Taylan Cemgil:
Differentially Private Dropout. CoRR abs/1712.01665 (2017) - [i10]Beyza Ermis, Ali Taylan Cemgil:
Differentially Private Variational Dropout. CoRR abs/1712.02629 (2017) - 2016
- [j27]Isik Baris Fidaner, Ayca Cankorur-Cetinkaya, Duygu Dikicioglu, Betül Kirdar, Ali Taylan Cemgil, Stephen G. Oliver:
CLUSTERnGO: a user-defined modelling platform for two-stage clustering of time-series data. Bioinform. 32(3): 388-397 (2016) - [j26]Serdar Aslan, Ali Taylan Cemgil, Murat Samil Aslan, Behcet Ugur Töreyin, Ata Akin:
Joint parameter and state estimation of the hemodynamic model by iterative extended Kalman smoother. Biomed. Signal Process. Control. 24: 47-62 (2016) - [c89]Ajay Srinivasamurthy, Andre Holzapfel, Ali Taylan Cemgil, Xavier Serra:
A generalized Bayesian model for tracking long metrical cycles in acoustic music signals. ICASSP 2016: 76-80 - [c88]Umut Simsekli, Roland Badeau, Gaël Richard, Ali Taylan Cemgil:
Stochastic thermodynamic integration: Efficient Bayesian model selection via stochastic gradient MCMC. ICASSP 2016: 2574-2578 - [c87]Umut Simsekli, Roland Badeau, A. Taylan Cemgil, Gaël Richard:
Stochastic Quasi-Newton Langevin Monte Carlo. ICML 2016: 642-651 - [c86]Baris Kurt, Engin Zeydan, Utku Yabas, Ilyas Alper Karatepe, Gunes Karabulut-Kurt, Ali Taylan Cemgil:
A Network Monitoring System for High Speed Network Traffic. SECON 2016: 1-3 - [c85]Kemal Oksuz, Ali Taylan Cemgil:
The comparison of the performances of global nearest neighbor and probability hypothesis density filter for varying clutter rates. SIU 2016: 677-680 - [c84]Baris Kurt, Çagatay Yildiz, Taha Yusuf Ceritli, Mehmet Yamac, Murat Semerci, Bülent Sankur, Ali Taylan Cemgil:
A probabilistic SIP network simulation system. SIU 2016: 1049-1052 - [c83]Murat Semerci, Mehmet Yamac, Ali Taylan Cemgil, Bülent Sankur, Derya Selin Cosar:
Detection of (D)DOS attacks based on online change point analysis. SIU 2016: 1161-1164 - [c82]Çagatay Yildiz, Taha Yusuf Ceritli, Baris Kurt, Bülent Sankur, Ali Taylan Cemgil:
Attack detection in VOIP networks using Bayesian multiple change-point models. SIU 2016: 1301-1304 - [c81]Dogac Basaran, Ali Taylan Cemgil, Emin Anarim:
Model based multiple musical sequence alignment using tempo extraction as preprocessing. SIU 2016: 1525-1528 - [c80]Ali Caner Türkmen, Ali Taylan Cemgil:
Text classification with coupled matrix factorization. SIU 2016: 1697-1700 - 2015
- [j25]Beyza Ermis, Evrim Acar, Ali Taylan Cemgil:
Link prediction in heterogeneous data via generalized coupled tensor factorization. Data Min. Knowl. Discov. 29(1): 203-236 (2015) - [j24]M. Serdar Yümlü, Fikret S. Gürgen, A. Taylan Cemgil, Nesrin Okay:
Bayesian changepoint and time-varying parameter learning in regime switching volatility models. Digit. Signal Process. 40: 198-212 (2015) - [j23]Ercan E. Kuruoglu, Joan Lasenby, A. Taylan Cemgil, Anil C. Kokaram, Robin D. Morris:
Special Issue in Honour of William J. (Bill) Fitzgerald. Digit. Signal Process. 47: 1-2 (2015) - [j22]Umut Simsekli, Tuomas Virtanen, Ali Taylan Cemgil:
Non-negative tensor factorization models for Bayesian audio processing. Digit. Signal Process. 47: 178-191 (2015) - [j21]Umut Simsekli, Antoine Liutkus, Ali Taylan Cemgil:
Alpha-Stable Matrix Factorization. IEEE Signal Process. Lett. 22(12): 2289-2293 (2015) - [j20]Florian Krebs, Andre Holzapfel, Ali Taylan Cemgil, Gerhard Widmer:
Inferring Metrical Structure in Music Using Particle Filters. IEEE ACM Trans. Audio Speech Lang. Process. 23(5): 817-827 (2015) - [j19]Dogac Basaran, Ali Taylan Cemgil, Emin Anarim:
A Probabilistic Model-Based Approach for Aligning Multiple Audio Sequences. IEEE ACM Trans. Audio Speech Lang. Process. 23(7): 1160-1171 (2015) - [c79]Antoine Liutkus, Umut Simsekli, A. Taylan Cemgil:
Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets. LVA/ICA 2015: 135-142 - [c78]Andre Holzapfel, Umut Simsekli, Sertan Sentürk, Ali Taylan Cemgil:
Section-level modeling of musical audio for linking performances to scores in Turkish makam music. ICASSP 2015: 141-145 - [c77]Umut Simsekli, Ali Taylan Cemgil, Beyza Ermis:
Learning mixed divergences in coupled matrix and tensor factorization models. ICASSP 2015: 2120-2124 - [c76]Ajay Srinivasamurthy, Andre Holzapfel, Ali Taylan Cemgil, Xavier Serra:
Particle Filters for Efficient Meter Tracking with Dynamic Bayesian Networks. ISMIR 2015: 197-203 - [c75]Serap Kirbiz, Antoine Liutkus, A. Taylan Cemgil:
Dialogue enhancement using kernel additive modelling. SIU 2015: 2242-2245 - [c74]Onur Güngör, Suzan Üsküdarli, A. Taylan Cemgil:
DRENAJ: Distributed social media data collection system. SIU 2015: 2349-2352 - [c73]Ali Caner Türkmen, Ali Taylan Cemgil:
An application of deep learning for trade signal prediction in financial markets. SIU 2015: 2521-2524 - [i9]Umut Simsekli, Hazal Koptagel, Figen Öztoprak, S. Ilker Birbil, Ali Taylan Cemgil:
HAMSI: Distributed Incremental Optimization Algorithm Using Quadratic Approximations for Partially Separable Problems. CoRR abs/1509.01698 (2015) - 2014
- [j18]Yusuf Cem Sübakan, Baris Kurt, A. Taylan Cemgil, Bülent Sankur:
Probabilistic sequence clustering with spectral learning. Digit. Signal Process. 29: 1-19 (2014) - [j17]Jesper Kjær Nielsen, Mads Græsbøll Christensen, Ali Taylan Cemgil, Søren Holdt Jensen:
Bayesian Model Comparison With the g-Prior. IEEE Trans. Signal Process. 62(1): 225-238 (2014) - [c72]Beyza Ermis, Ali Taylan Cemgil, Neda Barzegar Marvasti, Burak Acar:
Liver CT Annotation via Generalized Coupled Tensor Factorization. CLEF (Working Notes) 2014: 421-427 - [c71]Hidir Yuzuguzel, Ali Taylan Cemgil, Emin Anarim:
Query ranking strategies in probabilistic expert systems. SIU 2014: 1199-1202 - [c70]