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2020 – today
- 2024
[j20]Zhiyan Chen, Murat Simsek
, Burak Kantarci, Mehran Bagheri, Petar Djukic:
Machine learning-enabled hybrid intrusion detection system with host data transformation and an advanced two-stage classifier. Comput. Networks 250: 110576 (2024)- [j19]Johan Fernandes, Bin Xiao, Murat Simsek, Burak Kantarci, Shahzad Khan, Ala Abu Alkheir:
TableStrRec: framework for table structure recognition in data sheet images. Int. J. Document Anal. Recognit. 27(2): 127-145 (2024) - [j18]Murat Simsek, Azzedine Boukerche, Burak Kantarci, Rahman Bitirgen, Muhsin Hancer, Ismail Bayezit:
Dynamic Artificial Neural Network-Assisted GPS-Less Navigation for IoT-Enabled Drones. IEEE Internet Things Mag. 7(3): 92-99 (2024) - [c36]Parisa Fard Moshiri, Murat Simsek, Burak Kantarci:
On the Interplay Between Network Metrics and Performance of Mobile Edge Offloading. ICC 2024: 4018-4023 - [i17]Parisa Fard Moshiri, Murat Simsek, Burak Kantarci:
On the Interplay Between Network Metrics and Performance of Mobile Edge Offloading. CoRR abs/2401.10390 (2024) - [i16]Parisa Fard Moshiri, Murat Simsek, Burak Kantarci:
Joint Optimization of Completion Ratio and Latency of Offloaded Tasks with Multiple Priority Levels in 5G Edge. CoRR abs/2407.11155 (2024) - 2023
- [j17]Mohsen Shahbazi, Murat Simsek, Burak Kantarci:
AI-enabled cluster head selection through modified density based clustering in Aeronautical Ad Hoc Networks. Ad Hoc Networks 148: 103209 (2023) - [j16]Zhiyan Chen, Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Petar Djukic:
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats. ACM Comput. Surv. 55(5): 105:1-105:37 (2023) - [j15]Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Table detection for visually rich document images. Knowl. Based Syst. 282: 111080 (2023) - [j14]Murat Simsek, Burak Kantarci, Azzedine Boukerche:
Utility-Aware Legitimacy Detection of Mobile Crowdsensing Tasks via Knowledge-Based Self Organizing Feature Map. IEEE Trans. Mob. Comput. 22(6): 3706-3723 (2023) - [c35]Jinxin Liu, Murat Simsek, Michele Nogueira, Burak Kantarci:
Multidomain transformer-based deep learning for early detection of network intrusion. GLOBECOM 2023: 6056-6061 - [c34]Murat Arda Onsu, Murat Simsek, Burak Kantarci:
Anomalous Behaviour Detection via Event-Based Metric with Sequential Tracking in a V2X Environment. GLOBECOM 2023: 6868-6873 - [c33]Bin Xiao, Yakup Akkaya, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Multi-Modal OCR System for the ICT Global Supply Chain. ICC 2023: 3096-3101 - [c32]Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic:
Knowledge-Based Zero-Touch Security under Host and Network Flow Features Merger. ICC 2023: 4558-4563 - [d5]Jinxin Liu, Murat Simsek, Michele Nogueira, Burak Kantarci:
SCVIC-TS-2022: Network intrusion data with original raw network packets. IEEE DataPort, 2023
- [d4]Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Table Detection Dataset for Visually rich Documents. IEEE DataPort, 2023 - [i15]Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Revisiting Table Detection Datasets for Visually Rich Documents. CoRR abs/2305.04833 (2023) - [i14]Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Table Detection for Visually Rich Document Images. CoRR abs/2305.19181 (2023) - [i13]Zhiyan Chen, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic:
Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier. CoRR abs/2306.09451 (2023) - [i12]Jinxin Liu, Murat Simsek, Michele Nogueira, Burak Kantarci:
Multidomain transformer-based deep learning for early detection of network intrusion. CoRR abs/2309.01070 (2023) - [i11]Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images. CoRR abs/2312.00699 (2023) - 2022
- [j13]Jinxin Liu, Murat Simsek, Burak Kantarci, Melike Erol-Kantarci, Andrew J. Malton, Andrew Walenstein:
Risk-aware Fine-grained Access Control in Cyber-physical Contexts. DTRAP 3(4): 43:1-43:29 (2022) - [j12]Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic:
A New Realistic Benchmark for Advanced Persistent Threats in Network Traffic. IEEE Netw. Lett. 4(3): 162-166 (2022) - [j11]Johan Fernandes, Murat Simsek, Burak Kantarci, Shahzad Khan:
TableDet: An end-to-end deep learning approach for table detection and table image classification in data sheet images. Neurocomputing 468: 317-334 (2022) - [j10]Yakup Akkaya, Murat Simsek, Burak Kantarci, Shahzad Khan:
On cropped versus uncropped training sets in tabular structure detection. Neurocomputing 513: 114-126 (2022) - [j9]Murat Simsek, Burak Kantarci, Azzedine Boukerche, Shahzad Khan:
Machine Learning-Backed Planning of Rapid COVID-19 Tests With Autonomous Vehicles With Zero-Day Considerations. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 41-52 (2022) - [c31]Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach. GLOBECOM 2022: 504-509 - [c30]Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic:
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection. GLOBECOM 2022: 2662-2667 - [c29]Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic:
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark. GLOBECOM 2022: 3551-3556 - [c28]Bin Xiao, Yakup Akkaya, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition. GLOBECOM 2022: 4661-4666 - [c27]Murat Simsek, Burak Kantarci, Azzedine Boukerche:
Collaborative Self Organizing Map with DeepNNs for Fake Task Prevention in Mobile Crowdsensing. ICC 2022: 4794-4799 - [d3]Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic:
SCVIC-CIDS-2022: Bridging Networks and Hosts via Machine Learning-Based Intrusion Detection. IEEE DataPort, 2022 - [d2]Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic:
SCVIC-CIDS-2021: Collaborative Feature Maps of Networks and Hosts for Intrusion Detection. IEEE DataPort, 2022 - [d1]Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic:
SCVIC-APT-2021. IEEE DataPort, 2022 - [i10]Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Table Structure Recognition with Conditional Attention. CoRR abs/2203.03819 (2022) - [i9]Murat Simsek, Burak Kantarci, Azzedine Boukerche:
Collaborative Self Organizing Map with DeepNNs for Fake Task Prevention in Mobile Crowdsensing. CoRR abs/2203.12434 (2022) - [i8]Zhiyan Chen, Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Petar Djukic:
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats. CoRR abs/2204.03433 (2022) - [i7]Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic:
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection. CoRR abs/2208.05085 (2022) - [i6]Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic:
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark. CoRR abs/2208.05089 (2022) - [i5]Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach. CoRR abs/2208.06031 (2022) - [i4]Bin Xiao, Yakup Akkaya, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition. CoRR abs/2211.02128 (2022) - 2021
- [j8]JiChu Jiang, Murat Simsek, Burak Kantarci, Shahzad Khan:
TabCellNet: Deep learning-based tabular cell structure detection. Neurocomputing 440: 12-23 (2021) - [j7]Yueqian Zhang, Murat Simsek, Burak Kantarci:
Empowering Self-Organized Feature Maps for AI-Enabled Modeling of Fake Task Submissions to Mobile Crowdsensing Platforms. IEEE Internet Things J. 8(3): 1334-1346 (2021) - [j6]Murat Simsek, Azzedine Boukerche, Burak Kantarci, Shahzad Khan:
AI-driven autonomous vehicles as COVID-19 assessment centers: A novel crowdsensing-enabled strategy. Pervasive Mob. Comput. 75: 101426 (2021) - [j5]Murat Simsek, Ediz Polat:
Performance evaluation of pan-sharpening and dictionary learning methods for sparse representation of hyperspectral super-resolution. Signal Image Video Process. 15(6): 1099-1106 (2021) - [c26]Halil Deniz, Murat Simsek, Burak Kantarci:
On Delay Sensitivity Clusters of Microgrid Data Aggregation Under LTE-A Links. BlackSeaCom 2021: 1-6 - [c25]Zhiyan Chen, Murat Simsek, Burak Kantarci, Petar Djukic:
All Predict Wisest Decides: A Novel Ensemble Method to Detect Intrusive Traffic in IoT Networks. GLOBECOM 2021: 1-6 - [c24]Zhiyan Chen, Murat Simsek, Burak Kantarci:
Federated Learning-Based Risk-Aware Decision to Mitigate Fake Task Impacts on Crowdsensing Platforms. ICC 2021: 1-6 - [c23]Nima Taherifard, Murat Simsek, Charles Lascelles, Burak Kantarci:
Prior Knowledge Input to Improve LSTM Auto-encoder-based Characterization of Vehicular Sensing Data. ICC 2021: 1-6 - [i3]Zhiyan Chen, Murat Simsek, Burak Kantarci:
Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms. CoRR abs/2101.01266 (2021) - [i2]Jinxin Liu, Murat Simsek, Burak Kantarci, Melike Erol-Kantarci, Andrew J. Malton, Andrew Walenstein:
Risk-Aware Fine-Grained Access Control in Cyber-Physical Contexts. CoRR abs/2108.12739 (2021) - [i1]Yakup Akkaya, Murat Simsek, Burak Kantarci, Shahzad Khan:
On Cropped versus Uncropped Training Sets in Tabular Structure Detection. CoRR abs/2110.02933 (2021) - 2020
- [j4]Ertugrul Kara, Mark Traquair, Murat Simsek, Burak Kantarci, Shahzad Khan:
Holistic design for deep learning-based discovery of tabular structures in datasheet images. Eng. Appl. Artif. Intell. 90: 103551 (2020) - [j3]Xuankai Chen, Murat Simsek, Burak Kantarci:
Locally reconfigurable Self Organizing Feature Map for high impact malicious tasks submission in Mobile Crowdsensing. Internet Things 12: 100297 (2020) - [j2]Murat Simsek, Burak Kantarci, Yueqian Zhang:
Detecting Fake Mobile Crowdsensing Tasks: Ensemble Methods Under Limited Data. IEEE Veh. Technol. Mag. 15(3): 86-94 (2020) - [c22]Murat Simsek, Ahmed Omara, Burak Kantarci:
Cost-aware Data Aggregation and Energy Decentralization with Electrical Vehicles in Microgrids through LTE Links. BlackSeaCom 2020: 1-6 - [c21]Nima Taherifard, Murat Simsek, Charles Lascelles, Burak Kantarci:
Machine Learning-Driven Event Characterization under Scarce Vehicular Sensing Data. CAMAD 2020: 1-6 - [c20]Zhiyan Chen, Murat Simsek, Burak Kantarci:
Region-Aware Bagging and Deep Learning-Based Fake Task Detection in Mobile Crowdsensing Platforms. GLOBECOM 2020: 1-7 - [c19]Murat Simsek, Burak Kantarci, Azzedine Boukerche:
Self Organizing Feature Map-Integrated Knowledge-Based Deep Network Against Fake Crowdsensing Tasks. GLOBECOM 2020: 1-6 - [c18]Zhiyan Chen, Yueqian Zhang, Murat Simsek, Burak Kantarci:
Deep Belief Network-based Fake Task Mitigation for Mobile Crowdsensing under Data Scarcity. ICC 2020: 1-7 - [c17]Yueqian Zhang, Murat Simsek, Burak Kantarci:
Ensemble Learning Against Adversarial AI-driven Fake Task Submission in Mobile Crowdsensing. ICC 2020: 1-7 - [c16]JiChu Jiang, Murat Simsek, Burak Kantarci, Shahzad Khan:
High Precision Deep Learning-Based Tabular Position Detection. ISCC 2020: 1-7 - [c15]Murat Simsek, Burak Kantarci, Azzedine Boukerche:
Knowledge-Based Machine Learning Boosting for Adversarial Task Detection in Mobile Crowdsensing. ISCC 2020: 1-7 - [c14]Venkat Surya Dasari, Murat Simsek, Burak Kantarci:
Participant Comfort Adaptation in Dependable Mobile Crowdsensing Services. MobileCloud 2020: 47-54 - [p1]Murat Simsek, Alex Adim Obinikpo, Burak Kantarci:
Deep Learning in Smart Health: Methodologies, Applications, Challenges. Connected Health in Smart Cities 2020: 23-46
2010 – 2019
- 2019
- [c13]Ankkita Sood, Murat Simsek, Yueqian Zhang, Burak Kantarci:
Deep Learning-Based Detection of Fake Task Injection in Mobile Crowdsensing. GlobalSIP 2019: 1-5 - [c12]Nima Taherifard, Murat Simsek, Burak Kantarci:
Bridging Connected Vehicles with Artificial Intelligence for Smart First Responder Services. GlobalSIP 2019: 1-5 - [c11]Kyle Quintal, Ertugrul Kara, Murat Simsek, Burak Kantarci, Herna L. Viktor:
Sensory Data-Driven Modeling of Adversaries in Mobile Crowdsensing Platforms. GLOBECOM 2019: 1-6 - [c10]Yueqian Zhang, Murat Simsek, Burak Kantarci:
Self Organizing Feature Map for Fake Task Attack Modelling in Mobile Crowdsensing. GLOBECOM 2019: 1-6 - [c9]Venkat Surya Dasari, Burak Kantarci, Murat Simsek:
Trustworthiness and Comfort-Aware Participant Recruitment for Mobile Crowd-Sensing in Smart Environments. ISCC 2019: 1-6 - [c8]Yueqian Zhang, Murat Simsek, Burak Kantarci:
Machine Learning-based Prevention of Battery-oriented Illegitimate Task Injection in Mobile Crowdsensing. WiseML@WiSec 2019: 31-36 - 2018
- [c7]Murat Simsek, Fikret Yalcinkaya, Rifat Ugurlutan:
Wide area scanning Trap Camera System with multi-cameras and distinctive motion detection sensor. SIU 2018: 1-4 - 2016
- [c6]Thomas Schweizer, Murat Simsek, Oliver Bringmann, Wolfgang Rosenstiel:
Eine Tcl-basierte Methode zur Fehlerinjektion und Fehlereffektsimulation/-emulation auf Xilinx-FPGAs. MBMV 2016: 59-71 - [c5]Murat Simsek, Ediz Polat:
Sparse representation-based dictionary learning methods for hyperspectral super-resolution. SIU 2016: 753-756 - 2015
- [c4]Murat Simsek, Ediz Polat:
The effect of dictionary learning algorithms on super-resolution hyperspectral reconstruction. ICAT 2015: 1-5 - 2011
- [j1]Murat Simsek, Qi-Jun Zhang, Humayun Kabir, Yazi Cao, Neslihan Serap Sengör:
The recent developments in microwave design. Int. J. Math. Model. Numer. Optimisation 2(2): 213-228 (2011) - [c3]Murat Simsek:
Developing 3-step modeling strategy exploiting knowledge based techniques. ECCTD 2011: 616-619 - 2010
- [c2]Murat Simsek, Qi-Jun Zhang, Humayun Kabir, Yazi Cao, Neslihan Serap Sengör:
The recent developments in knowledge based neural modeling. ICCS 2010: 1321-1330
2000 – 2009
- 2009
- [c1]Murat Simsek, Neslihan Serap Sengör:
An efficient inverse ANN modeling approach using prior knowledge input with difference method. ECCTD 2009: 323-326
Coauthor Index
[j20] [j19] [j18] [c36] [i17] [i16] [j17] [j16] [j15] [j14] [c35] [c34] [c33] [c32] [d5] [d4] [i15] [i14] [i13] [i12] [i11] [j13] [j12] [j11] [j10] [j9] [c31] [c30] [c29] [c28] [c27] [d3] [d2] [d1] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [j8] [j7] [j6] [c26] [c25] [c24] [c23] [i3] [i2] [i1] [j4] [j3] [j2] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [p1] [c13] [c12] [c11] [c10] [c9] [c8]
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last updated on 2024-11-22 20:37 CET by the dblp team
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