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ORCIDIsmail Uysal
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2020 – today
- 2023
[j15]Rania Elashmawy
, Ismail Uysal:
Precision Agriculture Using Soil Sensor Driven Machine Learning for Smart Strawberry Production. Sensors 23(4): 2247 (2023)- [j14]Mehmet Bugrahan Ayanoglu, Ismail Uysal:
ML Approach to Improve the Costs and Reliability of a Wireless Sensor Network. Sensors 23(9): 4303 (2023) - 2022
- [j13]Muhammed Furkan Kucuk, Ismail Uysal:
Anomaly Detection in Self-Organizing Networks: Conventional Versus Contemporary Machine Learning. IEEE Access 10: 61744-61752 (2022) - [j12]Ria Kanjilal, Ismail Uysal:
Rich learning representations for human activity recognition: How to empower deep feature learning for biological time series. J. Biomed. Informatics 134: 104180 (2022) - [c19]Muhammed Furkan Kucuk, Ismail Uysal:
Fast, Robust & Light Machine Learning for Signal Classification in Next Generation Mobile Networks. WF-IoT 2022: 1-5 - 2021
- [j11]Ria Kanjilal, Ismail Uysal:
The Future of Human Activity Recognition: Deep Learning or Feature Engineering? Neural Process. Lett. 53(1): 561-579 (2021) - [j10]Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal:
Sequential Attack Detection in Recommender Systems. IEEE Trans. Inf. Forensics Secur. 16: 3285-3298 (2021) - 2020
- [j9]Alla Abdella, Ismail Uysal:
A Statistical Comparative Study on Image Reconstruction and Clustering With Novel VAE Cost Function. IEEE Access 8: 25626-25637 (2020) - [j8]Mehmet Aktukmak, Samuel Mercier, Ismail Uysal:
Self-Supervised Feature Specific Neural Matrix Completion. IEEE Access 8: 198168-198177 (2020) - [c18]Muhammed Furkan Kucuk, Ismail Uysal:
Performance analysis of neural network topologies and hyperparameters for deep clustering. IJCNN 2020: 1-6
2010 – 2019
- 2019
- [j7]Ali Fatih Demir, Hüseyin Arslan, Ismail Uysal:
Bio-Inspired Filter Banks for Frequency Recognition of SSVEP-Based Brain-Computer Interfaces. IEEE Access 7: 160295-160303 (2019) - [j6]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) - [c17]Ismail Uluturk, Ismail Uysal, Kwang-Cheng Chen:
Efficient 3D Placement of Access Points in an Aerial Wireless Network. CCNC 2019: 1-7 - [c16]Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal:
Quick and accurate attack detection in recommender systems through user attributes. RecSys 2019: 348-352 - 2018
- [j5]Ozsel Kilinc, Ismail Uysal:
GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning. Neurocomputing 296: 46-54 (2018) - [c15]Ozsel Kilinc, Ismail Uysal:
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization. ICLR (Poster) 2018 - [c14]Mehmet Aktukmak, Samuel Mercier, Ismail Uysal:
A Neural Net Framework for Accumulative Feature-based Matrix Completion. IJCNN 2018: 1-6 - [c13]Nanda Gopal Jeevarathnam, Ismail Uysal:
Grid-Based RFID Localization Using Tag Read Count And Received Signal Strength. IJCNN 2018: 1-8 - [i5]Ozsel Kilinc, Ismail Uysal:
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization. CoRR abs/1802.03063 (2018) - 2017
- [c12]Arundhoti Ferdous, Nanda Gopal Jeevarathnam, Ismail Uysal:
Comparative analysis of tag estimation algorithms on RFID EPC Gen-2 performance. RFID-TA 2017: 186-190 - [i4]Ozsel Kilinc, Ismail Uysal:
Deep Clustering using Auto-Clustering Output Layer. CoRR abs/1702.08648 (2017) - [i3]Ozsel Kilinc, Ismail Uysal:
Clustering-based Source-aware Assessment of True Robustness for Learning Models. CoRR abs/1704.00158 (2017) - [i2]Ozsel Kilinc, Ismail Uysal:
GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning. CoRR abs/1705.07219 (2017) - 2016
- [c11]Ali Fatih Demir, Hüseyin Arslan, Ismail Uysal:
Bio-inspired filter banks for SSVEP-based brain-computer interfaces. BHI 2016: 144-147 - [c10]Ismail Uluturk, Ismail Uysal:
A novel approach for generating fast multi-class SVM topologies with nested dichotomies. IJCNN 2016: 3777-3784 - [i1]Ali Fatih Demir, Hüseyin Arslan, Ismail Uysal:
Bio-Inspired Filter Banks for SSVEP-based Brain-Computer Interfaces. CoRR abs/1609.03224 (2016) - 2015
- [c9]Ozsel Kilinc, Alexander Dalzell, Ismail Uluturk, Ismail Uysal:
Inertia Based Recognition of Daily Activities with ANNs and Spectrotemporal Features. ICMLA 2015: 733-738 - [c8]Ozsel Kilinc, Ismail Uysal:
Source-Aware Partitioning for Robust Cross-Validation. ICMLA 2015: 1083-1088 - [c7]Ismail Uysal, Nikita Khanna:
Q-frame-collision-counter: A novel and dynamic approach to RFID Gen 2's Q algorithm. RFID-TA 2015: 120-125 - 2013
- [c6]Magalie Laniel, Ismail Uysal:
RFID system optimization for item-level pharmaceutical serialization. RFID-TA 2013: 1-6 - 2011
- [j4]Magalie Laniel, Ismail Uysal, Jean-Pierre Emond:
Radio frequency propagation inside the cargo hold of a DC-10 aircraft. Int. J. RF Technol. Res. Appl. 2(3-4): 189-204 (2011) - [j3]Magalie Laniel, Ismail Uysal, Jean-Pierre Emond:
Air cargo warehouse environment and RF interference. Int. J. RF Technol. Res. Appl. 2(3-4): 225-239 (2011) - [c5]Ismail Uysal, Jean-Pierre Emond, Gisele Bennett:
Tag testing methodology for RFID enabled temperature tracking and shelf life estimation. RFID-TA 2011: 8-15
2000 – 2009
- 2009
- [c4]Ismail Uysal, John G. Harris:
Biologically Plausible Speech Recognition using Spike-based Phase Locking Cues. ISCAS 2009: 101-104 - 2008
- [j2]Ismail Uysal, Harsha Sathyendra, John G. Harris:
Towards Spike-Based Speech Processing: A Biologically Plausible Approach to Simple Acoustic Classification. Int. J. Appl. Math. Comput. Sci. 18(2): 129-137 (2008) - [j1]Umut Ozertem, Ismail Uysal, Deniz Erdogmus:
Continuously Differentiable Sample-Spacing Entropy Estimation. IEEE Trans. Neural Networks 19(11): 1978-1984 (2008) - 2007
- [c3]Ismail Uysal, Harsha Sathyendra, John G. Harris:
A Duplex Theory of Spike Coding in the Early Stages of the Auditory System. ICASSP (4) 2007: 733-736 - [c2]Ismail Uysal, Harsha Sathyendra, John G. Harris:
Spike-Based Feature Extraction for Noise Robust Speech Recognition Using Phase Synchrony Coding. ISCAS 2007: 1529-1532 - 2005
- [c1]Ismail Uysal, Harsha Sathyendra, John G. Harris:
Bandwidth extension of telephone speech using frame-based excitation and robust features. EUSIPCO 2005: 1-4
Coauthor Index
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