Publikacje

Found 27 results
Filters: Keyword is Machine learning  [Clear All Filters]
2022
Pławiak P, Salankar N, Qaisar SMian, Tadeusiewicz R, Hammad M.  2022.  EEG based alcoholism detection by oscillatory modes decomposition second order difference plots and machine learning.. Biocybernetics and Biomedical Engineering. 42
Książek W, Turza F, Pławiak P.  2022.  NCA-GA-SVM: A new two-level feature selection method based on neighborhood component analysis and genetic algorithm in hepatocellular carcinoma fatality prognosis. International Journal for Numerical Methods in Biomedical Engineering. 38
Tuncer T, Dogan S, Pławiak P, Subasi A.  2022.  A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method.. Biomedical Signal Processing and Control. 72
Tuncer T, Dogan S, Pławiak P, Subasi A.  2022.  A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method. Elsevier, Biomedical Signal Processing and Control. 72 (2.11 MB)
Nakip M, Gül BCan, Rodoplu V, Güzeliş C.  2022.  Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds. IEEE Access. 10
Qaisar SMian, Khan SI, Dallet D, Tadeusiewicz R, Pławiak P.  2022.  Signal-piloted processing metaheuristic optimization and wavelet decomposition based elucidation of arrhythmia for mobile healthcare. Biocybernetics and Biomedical Engineering.. 42
Kora P, Ooi CPing, Faust O, Raghavendra U., Gudigar A, Chan WYee, Meenakshi K., Swaraja K., Pławiak P, U. Acharya R.  2022.  Transfer learning techniques for medical image analysis: A review. Biocybernetics and Biomedical Engineering. 42
2021
Hammad M, Kandala RNVPS, Abdelatey A, Abdar M, Zomorodi‐Moghadam M, San Tan R, U. Acharya R, Pławiak J, Tadeusiewicz R, Makarenkov V et al..  2021.  Automated detection of shockable ECG signals: A review. Elsevier, Information Sciences.  (3.76 MB)
Nakip M, Çopur O, Güzeliş C.  2021.  Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey. ASYU2021 .  (1.17 MB)
Książek W, Gandor M, Pławiak P.  2021.  Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma. Elsevier, Computers in Biology and Medicine. 134 (4.14 MB)
Wierzbiński M, Pławiak P, Hammad M, U Acharya R.  2021.  Development of accurate classification of heavenly bodies using novel machine learning techniques. Springer, Soft Computing. 25(2021)
Saylam A, Kelesoglu N, Cikmazel ROrhan, Nakip M, Rodoplu V.  2021.  Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning. International Conference on Computer, Information and Telecommunication Systems (CITS).  (364.76 KB)
Nakip M, Karakayali K, Güzeliş C, Rodoplu V.  2021.  An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things. IEEE Access.  (4.36 MB)
Saylam A, Cikmazel ROrhan, Kelesoglu N, Nakip M, Rodoplu V.  2021.  Energy-Efficient Indoor Positioning for Mobile Internet of Things Based on Artificial Intelligence. ASYU2021 .  (1.79 MB)
Żelasko D, Pławiak P.  2021.  Ensemble learning techniques for transmission quality classification in Pay&Require multi-layer network. International Journal of Applied Mathematics and Computer Science. 31(1) (1.01 MB)
Nakip M, Gelenbe E.  2021.  MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network. 2021 IEEE Global Communications Conference.  (857.52 KB)
Roui MBeheshti, Zomorodi M, Sarvelayati M, Abdar M, Noori H, Pławiak P, Tadeusiewicz R, Zhou X, Khosravi A, Nahavandi S et al..  2021.  A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Elsevier, Knowledge-Based Systems. 231 (3.12 MB)
Nakip M, Güzeliş C, Yıldız O.  2021.  Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection. IEEE Access. 9 (1.86 MB)
2020
Nasarian E, Abdar M, Fahami MAmin, Alizadehsani R, Hussain S, Basiri MEhsan, Zomorodi-Moghadam M, Zhou X, Pławiak P, U. Acharya R et al..  2020.  Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Elsevier, Pattern Recognition Letters. 133:33-40. (913.08 KB)
Książek W, Hammad M, Pławiak P, U. Acharya R, Tadeusiewicz R.  2020.  Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection. Biocybernetics and Biomedical Engineering. 40(4):1512-1524. (1.1 MB)
Pławiak P, Abdar M, Pławiak J, Makarenkov V, U Acharya R.  2020.  DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Elsevier, Information Sciences. 516:401-418. (1.21 MB)
Tuncer T, Ertam F, Dogan S, Aydemir E, Pławiak P.  2020.  Ensemble residual network-based gender and activity recognition method with signals. Journal of Supercomputing. 76(2020):2119–2138. (2.74 MB)
Alizadehsani R, Roshanzamir M, Abdar M, Beykikhoshk A, Khosravi A, Nahavandi S, Pławiak P, San Tan R, U Acharya R.  2020.  Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Wiley, Expert Systems.  (2.36 MB)
Żelasko D, Pławiak P, Kołodziej J.  2020.  Machine learning techniques for transmission parameters classification in multi-agent managed network. 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).  (877.3 KB)
Nowak S, Nowak M, Baldini G, Hernandez-Ramos JL, Neisse R.  2020.  Mitigation of Privacy Threats due to Encrypted Traffic Analysis through a Policy-Based Framework and MUD Profiles. Symmetry. 12(9) (395.99 KB)

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