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ORCIDYasin Yilmaz
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j43]Mehmet Necip Kurt
, Jiaohao Zheng, Yasin Yilmaz, Xiaodong Wang:
DeepQCD: An end-to-end deep learning approach to quickest change detection. J. Frankl. Inst. 361(18): 107199 (2024)- [j42]Furkan Mumcu, Yasin Yilmaz:
Sequential architecture-agnostic black-box attack design and analysis. Pattern Recognit. 147: 110066 (2024) - [j41]Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool:
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors 24(5): 1634 (2024) - [c44]Furkan Mumcu, Yasin Yilmaz:
Multimodal Attack Detection for Action Recognition Models. CVPR Workshops 2024: 2967-2976 - [c43]Mehmed Kerem Uludag, Maryna Veksler, Yasin Yilmaz, Kemal Akkaya:
Deceptive Skies: Leveraging GANs for Drone Sensor Data Falsification. SAC 2024: 1606-1613 - [c42]Hamza Karim, Keval Doshi, Yasin Yilmaz:
Real-Time Weakly Supervised Video Anomaly Detection. WACV 2024: 6834-6842 - [i31]Furkan Mumcu, Yasin Yilmaz:
Multimodal Attack Detection for Action Recognition Models. CoRR abs/2404.10790 (2024) - [i30]Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool:
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. CoRR abs/2405.07460 (2024) - [i29]Nikolas Koutsoubis, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool:
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation. CoRR abs/2406.12815 (2024) - [i28]Nikolas Koutsoubis, Asim Waqas, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool:
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review. CoRR abs/2409.16340 (2024) - 2023
- [j40]Mehmet Aktukmak, Yasin Yilmaz, Alfred O. Hero III:
Any-Shot Learning From Multimodal Observations (ALMO). IEEE Access 11: 61513-61524 (2023) - [j39]Salman Sadiq Shuvo, Hasan Symum, Md Rubel Ahmed, Yasin Yilmaz, José Zayas-Castro:
Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events. IEEE J. Biomed. Health Informatics 27(6): 2760-2770 (2023) - [j38]Salman Sadiq Shuvo, Yasin Yilmaz:
Demand-Side and Utility-Side Management Techniques for Increasing EV Charging Load. IEEE Trans. Smart Grid 14(5): 3889-3898 (2023) - [j37]Gianluca Tabella, Domenico Ciuonzo, Yasin Yilmaz, Xiaodong Wang, Pierluigi Salvo Rossi:
Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks. IEEE Trans. Signal Inf. Process. over Networks 9: 721-735 (2023) - [c41]Mehmet Necip Kurt, Xiaodong Wang, Pieter J. Mosterman, Yasin Yilmaz:
Data-Driven Sequential Change Detection in Privacy-Sensitive Networks. Allerton 2023: 1 - [c40]Keval Doshi, Yasin Yilmaz:
Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding. CVPR Workshops 2023: 4859-4868 - [c39]Keval Doshi, Yasin Yilmaz:
Privacy-Preserving Video Understanding via Transformer-based Federated Learning. DSC 2023: 1-8 - [c38]Keval Doshi, Yasin Yilmaz:
Semantic Video Transformer for Robust Action Recognition. DSC 2023: 1-5 - [c37]Keval Doshi, Yasin Yilmaz:
Towards Interpretable Video Anomaly Detection. WACV 2023: 2654-2663 - [i27]Justin McMillen, Gokhan Mumcu, Yasin Yilmaz:
Deep Learning-based RF Fingerprint Authentication with Chaotic Antenna Arrays. CoRR abs/2303.07466 (2023) - [i26]Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool:
Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets. CoRR abs/2310.01438 (2023) - 2022
- [j36]Almuthanna T. Nassar, Yasin Yilmaz:
Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities. IEEE Internet Things J. 9(1): 222-235 (2022) - [j35]Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang, Pieter J. Mosterman:
Online Privacy-Preserving Data-Driven Network Anomaly Detection. IEEE J. Sel. Areas Commun. 40(3): 982-998 (2022) - [j34]Ammar Haydari, Yasin Yilmaz:
RSU-Based Online Intrusion Detection and Mitigation for VANET. Sensors 22(19): 7612 (2022) - [j33]Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz:
Real-Time Detection and Classification of Power Quality Disturbances. Sensors 22(20): 7958 (2022) - [j32]Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz:
Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings. Sensors 22(21): 8264 (2022) - [j31]Salman Sadiq Shuvo, Yasin Yilmaz, Alan Bush, Mark Hafen:
Modeling and Simulating Adaptation Strategies Against Sea-Level Rise Using Multiagent Deep Reinforcement Learning. IEEE Trans. Comput. Soc. Syst. 9(4): 1185-1196 (2022) - [j30]Ammar Haydari, Yasin Yilmaz:
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey. IEEE Trans. Intell. Transp. Syst. 23(1): 11-32 (2022) - [j29]Salman Sadiq Shuvo, Yasin Yilmaz:
Home Energy Recommendation System (HERS): A Deep Reinforcement Learning Method Based on Residents' Feedback and Activity. IEEE Trans. Smart Grid 13(4): 2812-2821 (2022) - [c36]Mustafa Çoban, Semih Yumusak, Yasin Yilmaz, Hüseyin Oktay Altun:
Detecting Dangerous Maritime Refugee Migration Paths through Cell Phone Activities. IEEE Big Data 2022: 6119-6124 - [c35]Furkan Mumcu, Keval Doshi, Yasin Yilmaz:
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. CVPR Workshops 2022: 205-212 - [c34]Keval Doshi, Yasin Yilmaz:
Federated Learning-based Driver Activity Recognition for Edge Devices. CVPR Workshops 2022: 3337-3345 - [c33]Keval Doshi, Yasin Yilmaz:
Multi-Task Learning for Video Surveillance with Limited Data. CVPR Workshops 2022: 3888-3898 - [c32]Keval Doshi, Shatha Abudalou, Yasin Yilmaz:
Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection. IJCNN 2022: 1-8 - [c31]Keval Doshi, Yasin Yilmaz:
A Modular and Unified Framework for Detecting and Localizing Video Anomalies. WACV 2022: 3007-3016 - [c30]Keval Doshi, Yasin Yilmaz:
Rethinking Video Anomaly Detection - A Continual Learning Approach. WACV 2022: 3036-3045 - [i25]Keval Doshi, Yasin Yilmaz:
Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding. CoRR abs/2203.05156 (2022) - [i24]Keval Doshi, Shatha Abudalou, Yasin Yilmaz:
TiSAT: Time Series Anomaly Transformer. CoRR abs/2203.05167 (2022) - [i23]Furkan Mumcu, Keval Doshi, Yasin Yilmaz:
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. CoRR abs/2204.03141 (2022) - [i22]Ammar Haydari, Yasin Yilmaz:
RSU-Based Online Intrusion Detection and Mitigation for VANET. CoRR abs/2207.10812 (2022) - 2021
- [j28]Yasin Yilmaz, Suleyman Uludag:
Timely detection and mitigation of IoT-based cyberattacks in the smart grid. J. Frankl. Inst. 358(1): 172-192 (2021) - [j27]Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2463-2479 (2021) - [j26]Keval Doshi, Yasin Yilmaz:
Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate. Pattern Recognit. 114: 107865 (2021) - [j25]Keval Doshi, Yasin Yilmaz, Suleyman Uludag:
Timely Detection and Mitigation of Stealthy DDoS Attacks Via IoT Networks. IEEE Trans. Dependable Secur. Comput. 18(5): 2164-2176 (2021) - [j24]Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal:
Sequential Attack Detection in Recommender Systems. IEEE Trans. Inf. Forensics Secur. 16: 3285-3298 (2021) - [j23]Yasin Yilmaz, Mehmet Aktukmak, Alfred O. Hero III:
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets Via Generative Models. IEEE Trans. Signal Process. 69: 5175-5188 (2021) - [c29]Keval Doshi, Yasin Yilmaz:
An Efficient Approach for Anomaly Detection in Traffic Videos. CVPR Workshops 2021: 4236-4244 - [c28]Salman Sadiq Shuvo, Md Rubel Ahmed, Hasan Symum, Yasin Yilmaz:
Deep Reinforcement Learning Based Cost-Benefit Analysis for Hospital Capacity Planning. IJCNN 2021: 1-7 - [i21]Keval Doshi, Yasin Yilmaz:
A Modular and Unified Framework for Detecting and Localizing Video Anomalies. CoRR abs/2103.11299 (2021) - [i20]Keval Doshi, Yasin Yilmaz:
An Efficient Approach for Anomaly Detection in Traffic Videos. CoRR abs/2104.09758 (2021) - [i19]Yasin Yilmaz, Mehmet Aktukmak, Alfred O. Hero III:
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models. CoRR abs/2108.12445 (2021) - 2020
- [j22]Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids. IEEE Trans. Inf. Forensics Secur. 15: 800-815 (2020) - [c27]Keval Doshi, Yasin Yilmaz:
Road Damage Detection using Deep Ensemble Learning. IEEE BigData 2020: 5540-5544 - [c26]Keval Doshi, Yasin Yilmaz:
Continual Learning for Anomaly Detection in Surveillance Videos. CVPR Workshops 2020: 1025-1034 - [c25]Keval Doshi, Yasin Yilmaz:
Fast Unsupervised Anomaly Detection in Traffic Videos. CVPR Workshops 2020: 2658-2664 - [c24]Keval Doshi, Yasin Yilmaz:
Any-Shot Sequential Anomaly Detection in Surveillance Videos. CVPR Workshops 2020: 4037-4042 - [c23]Salman Sadiq Shuvo, Yasin Yilmaz, Alan Bush, Mark Hafen:
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change. ICML 2020: 8872-8883 - [c22]Salman Sadiq Shuvo, Yasin Yilmaz:
Predictive Maintenance for Increasing EV Charging Load in Distribution Power System. SmartGridComm 2020: 1-6 - [i18]Keval Doshi, Yasin Yilmaz:
Any-Shot Sequential Anomaly Detection in Surveillance Videos. CoRR abs/2004.02072 (2020) - [i17]Keval Doshi, Yasin Yilmaz:
Continual Learning for Anomaly Detection in Surveillance Videos. CoRR abs/2004.07941 (2020) - [i16]Ammar Haydari, Yasin Yilmaz:
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey. CoRR abs/2005.00935 (2020) - [i15]Keval Doshi, Yasin Yilmaz, Suleyman Uludag:
Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks. CoRR abs/2006.08064 (2020) - [i14]Keval Doshi, Yasin Yilmaz:
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate. CoRR abs/2010.07110 (2020) - [i13]Almuthanna T. Nassar, Yasin Yilmaz:
Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities. CoRR abs/2010.09916 (2020) - [i12]Keval Doshi, Yasin Yilmaz:
Road Damage Detection using Deep Ensemble Learning. CoRR abs/2011.00728 (2020)
2010 – 2019
- 2019
- [j21]Almuthanna T. Nassar, Yasin Yilmaz:
Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements. IEEE Access 7: 128014-128025 (2019) - [j20]Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal:
A probabilistic framework to incorporate mixed-data type features: Matrix factorization with multimodal side information. Neurocomputing 367: 164-175 (2019) - [j19]Kai Yang, Sijia Liu, Lin Cai, Yasin Yilmaz, Pin-Yu Chen, Anwar Walid:
Guest Editorial Special Issue on AI Enabled Cognitive Communication and Networking for IoT. IEEE Internet Things J. 6(2): 1906-1910 (2019) - [j18]Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid. IEEE Trans. Inf. Forensics Secur. 14(2): 498-513 (2019) - [j17]Elizabeth Hou, Yasin Yilmaz, Alfred O. Hero III:
Anomaly Detection in Partially Observed Traffic Networks. IEEE Trans. Signal Process. 67(6): 1461-1476 (2019) - [c21]Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Sequential Model-Free Anomaly Detection for Big Data Streams. Allerton 2019: 421-425 - [c20]Almuthanna T. Nassar, Yasin Yilmaz:
Dynamic Network Slicing for Fog Radio Access Networks. GlobalSIP 2019: 1-5 - [c19]Salman S. Shuvo, Yasin Yilmaz, Alan Bush, Mark Hafen:
Scenario Planning for Sea Level Rise via Reinforcement Learning. GlobalSIP 2019: 1-5 - [c18]Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Romain Couillet, Indika Rajapakse, Alfred O. Hero III:
Latent Heterogeneous Multilayer Community Detection. ICASSP 2019: 8142-8146 - [c17]Almuthanna T. Nassar, Yasin Yilmaz:
Resource Allocation in Fog RAN for Heterogeneous IoT Environments Based on Reinforcement Learning. ICC 2019: 1-6 - [c16]Motahareh Pourbehzadi, Taher Niknam, Abdollah Kavousi-Fard, Yasin Yilmaz:
IoT in Smart Grid: Energy Management Opportunities and Security Challenges. IFIPIoT 2019: 319-327 - [c15]Mahsa Mozaffari, Yasin Yilmaz:
Online Anomaly Detection in Multivariate Settings. MLSP 2019: 1-6 - [c14]Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal:
Quick and accurate attack detection in recommender systems through user attributes. RecSys 2019: 348-352 - [c13]Keval Doshi, Mahsa Mozaffari, Yasin Yilmaz:
RAPID: Real-time Anomaly-based Preventive Intrusion Detection. WiseML@WiSec 2019: 49-54 - [i11]Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids. CoRR abs/1902.07288 (2019) - [i10]Mahsa Mozaffari, Yasin Yilmaz:
Online Multivariate Anomaly Detection and Localization for High-dimensional Settings. CoRR abs/1905.07107 (2019) - 2018
- [j16]Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Distributed Quickest Detection of Cyber-Attacks in Smart Grid. IEEE Trans. Inf. Forensics Secur. 13(8): 2015-2030 (2018) - [j15]Yasin Yilmaz, Mehmet Necip Kurt, Xiaodong Wang:
Distributed Dynamic State Estimation and LQG Control in Resource-Constrained Networks. IEEE Trans. Signal Inf. Process. over Networks 4(3): 599-612 (2018) - [j14]Yasin Yilmaz, Alfred O. Hero III:
Multimodal Event Detection in Twitter Hashtag Networks. J. Signal Process. Syst. 90(2): 185-200 (2018) - [c12]Ammar Haydari, Yasin Yilmaz:
Real-Time Detection and Mitigation of DDoS Attacks in Intelligent Transportation Systems. ITSC 2018: 157-163 - [i9]Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid. CoRR abs/1803.00128 (2018) - [i8]Almuthanna T. Nassar, Yasin Yilmaz:
Reinforcement-Learning-Based Resource Allocation in Fog Radio Access Networks for Various IoT Environments. CoRR abs/1806.04582 (2018) - [i7]Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Alfred O. Hero III, Romain Couillet, Indika Rajapakse:
Latent heterogeneous multilayer community detection. CoRR abs/1806.07963 (2018) - [i6]Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang:
Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings. CoRR abs/1809.05250 (2018) - 2017
- [c11]Yasin Yilmaz, Suleyman Uludag:
Mitigating IoT-based Cyberattacks on the Smart Grid. ICMLA 2017: 517-522 - [c10]Yasin Yilmaz:
Online nonparametric anomaly detection based on geometric entropy minimization. ISIT 2017: 3010-3014 - 2016
- [j13]Yasin Yilmaz, George V. Moustakides, Xiaodong Wang:
Sequential and decentralized estimation of linear-regression parameters in wireless sensor networks. IEEE Trans. Aerosp. Electron. Syst. 52(1): 288-306 (2016) - [j12]Ziyu Guo, Yasin Yilmaz, Xiaodong Wang:
Transmitter-Centric Channel Estimation and Low-PAPR Precoding for Millimeter-Wave MIMO Systems. IEEE Trans. Commun. 64(7): 2925-2938 (2016) - [j11]Yasin Yilmaz, Shang Li, Xiaodong Wang:
Sequential Joint Detection and Estimation: Optimum Tests and Applications. IEEE Trans. Signal Process. 64(20): 5311-5326 (2016) - [i5]Yasin Yilmaz, Alfred O. Hero III:
Multimodal Event Detection in Twitter Hashtag Networks. CoRR abs/1601.00306 (2016) - 2015
- [j10]Muhammed O. Sayin, Yasin Yilmaz, Alper Demir, Suleyman Serdar Kozat:
The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis. Signal Process. 109: 1-13 (2015) - [j9]Shang Li, Yasin Yilmaz, Xiaodong Wang:
Quickest Detection of False Data Injection Attack in Wide-Area Smart Grids. IEEE Trans. Smart Grid 6(6): 2725-2735 (2015) - [c9]Yasin Yilmaz, Alfred O. Hero III:
Multimodal factor analysis. MLSP 2015: 1-6 - [c8]Shang Li, Yasin Yilmaz, Xiaodong Wang:
Sequential cyber-attack detection in the large-scale smart grid system. SmartGridComm 2015: 127-132 - 2014
- [j8]Zekeriya Girgin, Yasin Yilmaz, Ersin Demir:
A Combining Method for solution of nonlinear boundary value problems. Appl. Math. Comput. 232: 1037-1045 (2014) - [j7]Yasin Yilmaz, Ziyu Guo, Xiaodong Wang:
Sequential Joint Spectrum Sensing and Channel Estimation for Dynamic Spectrum Access. IEEE J. Sel. Areas Commun. 32(11): 2000-2012 (2014) - [j6]Yasin Yilmaz, Xiaodong Wang:
Sequential Decentralized Parameter Estimation Under Randomly Observed Fisher Information. IEEE Trans. Inf. Theory 60(2): 1281-1300 (2014) - [j5]Yasin Yilmaz, Xiaodong Wang:
Sequential Distributed Detection in Energy-Constrained Wireless Sensor Networks. IEEE Trans. Signal Process. 62(12): 3180-3193 (2014) - [i4]Yasin Yilmaz, Ziyu Guo, Xiaodong Wang:
Sequential Joint Spectrum Sensing and Channel Estimation for Dynamic Spectrum Access. CoRR abs/1401.6134 (2014) - 2013
- [j4]Yasin Yilmaz, George V. Moustakides, Xiaodong Wang:
Channel-Aware Decentralized Detection via Level-Triggered Sampling. IEEE Trans. Signal Process. 61(2): 300-315 (2013) - [c7]Yasin Yilmaz, Xiaodong Wang:
Asymptotically optimal and bandwith-efficient decentralized detection. ISIT 2013: 2592-2596 - [c6]Yasin Yilmaz, George V. Moustakides, Xiaodong Wang:
Optimal sequential parameter estimation. ISIT 2013: 2597-2601 - [i3]Yasin Yilmaz, George V. Moustakides, Xiaodong Wang:
Optimal Sequential Vector Estimation. CoRR abs/1301.5701 (2013) - 2012
- [j3]Yasin Yilmaz, George V. Moustakides, Xiaodong Wang:
Cooperative Sequential Spectrum Sensing Based on Level-Triggered Sampling. IEEE Trans. Signal Process. 60(9): 4509-4524 (2012) - [c5]Yasin Yilmaz, George V. Moustakides, Xiaodong Wang:
Sequential decentralized detection under noisy channels. Allerton Conference 2012: 893-900 - [i2]Yasin Yilmaz, George V. Moustakides, Xiaodong Wang:
Channel-aware Decentralized Detection via Level-triggered Sampling. CoRR abs/1205.5906 (2012) - 2011
- [c4]Yasin Yilmaz, George V. Moustakides, Xiaodong Wang:
Spectrum sensing via event-triggered sampling. ACSCC 2011: 1420-1424 - [i1]Yasin Yilmaz, George V. Moustakides, Xiaodong Wang:
Cooperative Sequential Spectrum Sensing Based on Level-triggered Sampling. CoRR abs/1111.5046 (2011) - 2010
- [j2]Yasin Yilmaz, Suleyman Serdar Kozat:
Competitive Randomized Nonlinear Prediction Under Additive Noise. IEEE Signal Process. Lett. 17(4): 335-339 (2010)
2000 – 2009
- 2009
- [j1]Yasin Yilmaz, Gunay Anlas:
An investigation of the effect of counterweight configuration on main bearing load and crankshaft bending stress. Adv. Eng. Softw. 40(2): 95-104 (2009) - [c3]Yasin Yilmaz, Suleyman Serdar Kozat:
An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections. ICMLA 2009: 404-408 - 2004
- [c2]Kemal Oflazer, Yasin Yilmaz:
Developing Finite State NLP Systems with a Graphical Environment. ISCIS 2004: 147-156 - [c1]Kemal Oflazer, Yasin Yilmaz:
Vi-xfst: A Visual Regular Expression Development Environment for Xerox Finite State Tool. SIGMORPHON@ACL 2004
Coauthor Index
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