An efficient inverse ANN modeling approach using prior knowledge input with difference method. - Murat Simsek; Neslihan Serap Sengör (ECCTD, 2009)

The recent developments in knowledge based neural modeling. - Murat Simsek; Qi-Jun Zhang; Humayun Kabir; Yazi Cao; Neslihan Serap Sengör (ICCS, 2010)

Developing 3-step modeling strategy exploiting knowledge based techniques. - Murat Simsek (ECCTD, 2011)

The recent developments in microwave design. - Murat Simsek; Qi-Jun Zhang; Humayun Kabir; Yazi Cao; Neslihan Serap Sengör (Int. J. Math. Model. Numer. Optimisation, 2011)

The effect of dictionary learning algorithms on super-resolution hyperspectral reconstruction. - Murat Simsek; Ediz Polat (ICAT, 2015)

Eine Tcl-basierte Methode zur Fehlerinjektion und Fehlereffektsimulation/-emulation auf Xilinx-FPGAs. - Thomas Schweizer; Murat Simsek; Oliver Bringmann 001; Wolfgang Rosenstiel (MBMV, 2016)

Sparse representation-based dictionary learning methods for hyperspectral super-resolution. - Murat Simsek; Ediz Polat (SIU, 2016)

Wide area scanning Trap Camera System with multi-cameras and distinctive motion detection sensor. - Murat Simsek; Fikret Yalcinkaya; Rifat Ugurlutan (SIU, 2018)

Deep Learning-Based Detection of Fake Task Injection in Mobile Crowdsensing. - Ankkita Sood; Murat Simsek; Yueqian Zhang; Burak Kantarci (GlobalSIP, 2019)

Bridging Connected Vehicles with Artificial Intelligence for Smart First Responder Services. - Nima Taherifard; Murat Simsek; Burak Kantarci (GlobalSIP, 2019)

Sensory Data-Driven Modeling of Adversaries in Mobile Crowdsensing Platforms. - Kyle Quintal; Ertugrul Kara; Murat Simsek; Burak Kantarci; Herna L. Viktor (GLOBECOM, 2019)

Self Organizing Feature Map for Fake Task Attack Modelling in Mobile Crowdsensing. - Yueqian Zhang; Murat Simsek; Burak Kantarci (GLOBECOM, 2019)

Trustworthiness and Comfort-Aware Participant Recruitment for Mobile Crowd-Sensing in Smart Environments. - Venkat Surya Dasari; Burak Kantarci; Murat Simsek (ISCC, 2019)

Machine Learning-based Prevention of Battery-oriented Illegitimate Task Injection in Mobile Crowdsensing. - Yueqian Zhang; Murat Simsek; Burak Kantarci (WiseML@WiSec, 2019)

Deep Learning in Smart Health: Methodologies, Applications, Challenges. - Murat Simsek; Alex Adim Obinikpo; Burak Kantarci (Connected Health in Smart Cities, 2020)

Cost-aware Data Aggregation and Energy Decentralization with Electrical Vehicles in Microgrids through LTE Links. - Murat Simsek; Ahmed Omara; Burak Kantarci (BlackSeaCom, 2020)

Machine Learning-Driven Event Characterization under Scarce Vehicular Sensing Data. - Nima Taherifard; Murat Simsek; Charles Lascelles; Burak Kantarci (CAMAD, 2020)

Region-Aware Bagging and Deep Learning-Based Fake Task Detection in Mobile Crowdsensing Platforms. - Zhiyan Chen; Murat Simsek; Burak Kantarci (GLOBECOM, 2020)

Self Organizing Feature Map-Integrated Knowledge-Based Deep Network Against Fake Crowdsensing Tasks. - Murat Simsek; Burak Kantarci; Azzedine Boukerche (GLOBECOM, 2020)

Deep Belief Network-based Fake Task Mitigation for Mobile Crowdsensing under Data Scarcity. - Zhiyan Chen; Yueqian Zhang; Murat Simsek; Burak Kantarci (ICC, 2020)

Ensemble Learning Against Adversarial AI-driven Fake Task Submission in Mobile Crowdsensing. - Yueqian Zhang; Murat Simsek; Burak Kantarci (ICC, 2020)

High Precision Deep Learning-Based Tabular Position Detection. - JiChu Jiang; Murat Simsek; Burak Kantarci; Shahzad Khan 002 (ISCC, 2020)

Knowledge-Based Machine Learning Boosting for Adversarial Task Detection in Mobile Crowdsensing. - Murat Simsek; Burak Kantarci; Azzedine Boukerche (ISCC, 2020)

Participant Comfort Adaptation in Dependable Mobile Crowdsensing Services. - Venkat Surya Dasari; Murat Simsek; Burak Kantarci (MobileCloud, 2020)

Holistic design for deep learning-based discovery of tabular structures in datasheet images. - Ertugrul Kara; Mark Traquair; Murat Simsek; Burak Kantarci; Shahzad Khan 002 (Eng. Appl. Artif. Intell., 2020)

Locally reconfigurable Self Organizing Feature Map for high impact malicious tasks submission in Mobile Crowdsensing. - Xuankai Chen; Murat Simsek; Burak Kantarci (Internet Things, 2020)

Detecting Fake Mobile Crowdsensing Tasks: Ensemble Methods Under Limited Data. - Murat Simsek; Burak Kantarci; Yueqian Zhang (IEEE Veh. Technol. Mag., 2020)

On Delay Sensitivity Clusters of Microgrid Data Aggregation Under LTE-A Links. - Halil Deniz; Murat Simsek; Burak Kantarci (BlackSeaCom, 2021)

All Predict Wisest Decides: A Novel Ensemble Method to Detect Intrusive Traffic in IoT Networks. - Zhiyan Chen; Murat Simsek; Burak Kantarci; Petar Djukic (GLOBECOM, 2021)

Federated Learning-Based Risk-Aware Decision to Mitigate Fake Task Impacts on Crowdsensing Platforms. - Zhiyan Chen; Murat Simsek; Burak Kantarci (ICC, 2021)

Prior Knowledge Input to Improve LSTM Auto-encoder-based Characterization of Vehicular Sensing Data. - Nima Taherifard; Murat Simsek; Charles Lascelles; Burak Kantarci (ICC, 2021)

Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms. - Zhiyan Chen; Murat Simsek; Burak Kantarci (CoRR, 2021)

TabCellNet: Deep learning-based tabular cell structure detection. - JiChu Jiang; Murat Simsek; Burak Kantarci; Shahzad Khan 002 (Neurocomputing, 2021)

Empowering Self-Organized Feature Maps for AI-Enabled Modeling of Fake Task Submissions to Mobile Crowdsensing Platforms. - Yueqian Zhang; Murat Simsek; Burak Kantarci (IEEE Internet Things J., 2021)

AI-driven autonomous vehicles as COVID-19 assessment centers: A novel crowdsensing-enabled strategy. - Murat Simsek; Azzedine Boukerche; Burak Kantarci; Shahzad Khan 002 (Pervasive Mob. Comput., 2021)

Performance evaluation of pan-sharpening and dictionary learning methods for sparse representation of hyperspectral super-resolution. - Murat Simsek; Ediz Polat (Signal Image Video Process., 2021)

Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection. - Jinxin Liu 001; Murat Simsek; Burak Kantarci; Mehran Bagheri; Petar Djukic (GLOBECOM, 2022)

Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark. - Yu Shen 001; Murat Simsek; Burak Kantarci; Hussein T. Mouftah; Mehran Bagheri; Petar Djukic (GLOBECOM, 2022)

Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition. - Bin Xiao 008; Yakup Akkaya; Murat Simsek; Burak Kantarci; Ala Abu Alkheir (GLOBECOM, 2022)

Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach. - Bin Xiao 008; Murat Simsek; Burak Kantarci; Ala Abu Alkheir (GLOBECOM, 2022)

Collaborative Self Organizing Map with DeepNNs for Fake Task Prevention in Mobile Crowdsensing. - Murat Simsek; Burak Kantarci; Azzedine Boukerche (ICC, 2022)

Table Structure Recognition with Conditional Attention. - Bin Xiao 008; Murat Simsek; Burak Kantarci; Ala Abu Alkheir (CoRR, 2022)

Risk-aware Fine-grained Access Control in Cyber-physical Contexts. - Jinxin Liu 001; Murat Simsek; Burak Kantarci; Melike Erol-Kantarci; Andrew J. Malton; Andrew Walenstein (DTRAP, 2022)

A New Realistic Benchmark for Advanced Persistent Threats in Network Traffic. - Jinxin Liu 001; Yu Shen 001; Murat Simsek; Burak Kantarci; Hussein T. Mouftah; Mehran Bagheri; Petar Djukic (IEEE Netw. Lett., 2022)

On cropped versus uncropped training sets in tabular structure detection. - Yakup Akkaya; Murat Simsek; Burak Kantarci; Shahzad Khan 002 (Neurocomputing, 2022)

TableDet: An end-to-end deep learning approach for table detection and table image classification in data sheet images. - Johan Fernandes; Murat Simsek; Burak Kantarci; Shahzad Khan 002 (Neurocomputing, 2022)

Machine Learning-Backed Planning of Rapid COVID-19 Tests With Autonomous Vehicles With Zero-Day Considerations. - Murat Simsek; Burak Kantarci; Azzedine Boukerche; Shahzad Khan 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

SCVIC-CIDS-2021: Collaborative Feature Maps of Networks and Hosts for Intrusion Detection. - Jinxin Liu 001; Murat Simsek; Burak Kantarci; Mehran Bagheri; Petar Djukic (IEEE DataPort, 2022)

SCVIC-CIDS-2022: Bridging Networks and Hosts via Machine Learning-Based Intrusion Detection. - Jinxin Liu 001; Murat Simsek; Burak Kantarci; Mehran Bagheri; Petar Djukic (IEEE DataPort, 2022)

SCVIC-APT-2021. - Jinxin Liu 001; Yu Shen 001; Murat Simsek; Burak Kantarci; Hussein T. Mouftah; Mehran Bagheri; Petar Djukic (IEEE DataPort, 2022)

Multidomain transformer-based deep learning for early detection of network intrusion. - Jinxin Liu 001; Murat Simsek; Michele Nogueira; Burak Kantarci (GLOBECOM, 2023)

Anomalous Behaviour Detection via Event-Based Metric with Sequential Tracking in a V2X Environment. - Murat Arda Onsu; Murat Simsek; Burak Kantarci (GLOBECOM, 2023)

Knowledge-Based Zero-Touch Security under Host and Network Flow Features Merger. - Yu Shen 001; Murat Simsek; Burak Kantarci; Hussein T. Mouftah; Mehran Bagheri; Petar Djukic (ICC, 2023)

Multi-Modal OCR System for the ICT Global Supply Chain. - Bin Xiao 008; Yakup Akkaya; Murat Simsek; Burak Kantarci; Ala Abu Alkheir (ICC, 2023)

AI-enabled cluster head selection through modified density based clustering in Aeronautical Ad Hoc Networks. - Mohsen Shahbazi; Murat Simsek; Burak Kantarci (Ad Hoc Networks, 2023)

Revisiting Table Detection Datasets for Visually Rich Documents. - Bin Xiao 008; Murat Simsek; Burak Kantarci; Ala Abu Alkheir (CoRR, 2023)

Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier. - Zhiyan Chen; Murat Simsek; Burak Kantarci; Mehran Bagheri; Petar Djukic (CoRR, 2023)

Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats. - Zhiyan Chen; Jinxin Liu 001; Yu Shen 001; Murat Simsek; Burak Kantarci; Hussein T. Mouftah; Petar Djukic (ACM Comput. Surv., 2023)

Table Detection Dataset for Visually rich Documents. - Bin Xiao 008; Murat Simsek; Burak Kantarci; Ala Abu Alkheir (IEEE DataPort, 2023)

Utility-Aware Legitimacy Detection of Mobile Crowdsensing Tasks via Knowledge-Based Self Organizing Feature Map. - Murat Simsek; Burak Kantarci; Azzedine Boukerche (IEEE Trans. Mob. Comput., 2023)

SCVIC-TS-2022: Network intrusion data with original raw network packets. - Jinxin Liu 001; Murat Simsek; Michele Nogueira; Burak Kantarci (IEEE DataPort, 2023)

Table detection for visually rich document images. - Bin Xiao 008; Murat Simsek; Burak Kantarci; Ala Abu Alkheir (Knowl. Based Syst., 2023)

All Predict Cost Efficient Decides: A New Cost-Centric Ensemble Learning Method for Network Intrusions Detection. - Zhiyan Chen; Murat Simsek; Poonam Lohan; Burak Kantarci; Petar Djukic (GLOBECOM, 2024)

Towards Sustainable Edge Computing: Efficient Task Offloading for Energy Efficiency and Latency Reduction. - Parisa Fard Moshiri; Murat Simsek; Burak Kantarci (GLOBECOM, 2024)

On the Interplay Between Network Metrics and Performance of Mobile Edge Offloading. - Parisa Fard Moshiri; Murat Simsek; Burak Kantarci (ICC, 2024)

Real-Time Binary Cell Phone Usage Detection and Classification on Vehicular Edge Devices. - Murat Arda Onsu; Pankti Shah; Murat Simsek; Mark Fobert; Burak Kantarci (IWCMC, 2024)

Green and Intelligent Planning of Drone Launch in Truck-Drone Collaborative Delivery. - Didem Cicek; Murat Simsek; Burak Kantarci (WF-IoT, 2024)

Machine learning-enabled hybrid intrusion detection system with host data transformation and an advanced two-stage classifier. - Zhiyan Chen; Murat Simsek; Burak Kantarci; Mehran Bagheri; Petar Djukic (Comput. Networks, 2024)

Dynamic Artificial Neural Network-Assisted GPS-Less Navigation for IoT-Enabled Drones. - Murat Simsek; Azzedine Boukerche; Burak Kantarci; Rahman Bitirgen; Muhsin Hancer; Ismail Bayezit (IEEE Internet Things Mag., 2024)

TableStrRec: framework for table structure recognition in data sheet images. - Johan Fernandes; Bin Xiao 008; Murat Simsek; Burak Kantarci; Shahzad Khan 002; Ala Abu Alkheir (Int. J. Document Anal. Recognit., 2024)

Rethinking detection based table structure recognition for visually rich document images. - Bin Xiao 008; Murat Simsek; Burak Kantarci; Ala Abu Alkheir (Expert Syst. Appl., 2025)

Intelligent multi-sensor fusion and anomaly detection in vehicles via deep learning. - Murat Arda Onsu; Murat Simsek; Mark Fobert; Burak Kantarci (Internet Things, 2025)

Partitioned Task Offloading for Low-Latency and Reliable Task Completion in 5G MEC. - Parisa Fard Moshiri; Murat Simsek; Burak Kantarci (CoRR, 2025)

A Reliable and Efficient 5G Vehicular MEC: Guaranteed Task Completion with Minimal Latency. - Mahsa Paknejad; Parisa Fard Moshiri; Murat Simsek; Burak Kantarci; Hussein T. Mouftah (CoRR, 2025)

Joint Optimization of Completion Ratio and Latency of Offloaded Tasks With Multiple Priority Levels in 5G Edge. - Parisa Fard Moshiri; Murat Simsek; Burak Kantarci (IEEE Trans. Netw. Serv. Manag., 2025)

Meeting Deadlines in Motion: Deep RL for Real-Time Task Offloading in Vehicular Edge Networks. - Mahsa Paknejad; Parisa Fard Moshiri; Murat Simsek; Burak Kantarci; Hussein T. Mouftah (CoRR, 2025)