Ismail Uysal
Orcid: 0000-0002-3224-4865
According to our database1,
Ismail Uysal
authored at least 36 papers
between 2005 and 2023.
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Bibliography
2023
Precision Agriculture Using Soil Sensor Driven Machine Learning for Smart Strawberry Production.
Sensors, February, 2023
Sensors, 2023
2022
Rich learning representations for human activity recognition: How to empower deep feature learning for biological time series.
J. Biomed. Informatics, 2022
Anomaly Detection in Self-Organizing Networks: Conventional Versus Contemporary Machine Learning.
IEEE Access, 2022
Fast, Robust & Light Machine Learning for Signal Classification in Next Generation Mobile Networks.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022
2021
IEEE Trans. Inf. Forensics Secur., 2021
Neural Process. Lett., 2021
2020
A Statistical Comparative Study on Image Reconstruction and Clustering With Novel VAE Cost Function.
IEEE Access, 2020
Performance analysis of neural network topologies and hyperparameters for deep clustering.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
A probabilistic framework to incorporate mixed-data type features: Matrix factorization with multimodal side information.
Neurocomputing, 2019
Bio-Inspired Filter Banks for Frequency Recognition of SSVEP-Based Brain-Computer Interfaces.
IEEE Access, 2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019
2018
GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning.
Neurocomputing, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
CoRR, 2017
Proceedings of the IEEE International Conference on RFID Technology & Application, 2017
2016
A novel approach for generating fast multi-class SVM topologies with nested dichotomies.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
Proceedings of the IEEE International Conference on RFID Technology and Applications, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Inertia Based Recognition of Daily Activities with ANNs and Spectrotemporal Features.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2013
Proceedings of the 2013 IEEE International Conference on RFID-Technologies and Applications, 2013
2011
Int. J. RF Technol. Res. Appl., 2011
Int. J. RF Technol. Res. Appl., 2011
Tag testing methodology for RFID enabled temperature tracking and shelf life estimation.
Proceedings of the 2011 IEEE International Conference on RFID-Technologies and Applications, 2011
2009
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
2008
IEEE Trans. Neural Networks, 2008
Towards Spike-Based Speech Processing: A Biologically Plausible Approach to Simple Acoustic Classification.
Int. J. Appl. Math. Comput. Sci., 2008
2007
Spike-Based Feature Extraction for Noise Robust Speech Recognition Using Phase Synchrony Coding.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2005
Bandwidth extension of telephone speech using frame-based excitation and robust features.
Proceedings of the 13th European Signal Processing Conference, 2005