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Journal Articles
- 2016
[j2]Mohammad Bari, Milos Doroslovacki:
Distinguishing CPFSK from QAM and PSK Modulations. Circuits Syst. Signal Process. 35(4): 1355-1375 (2016)- 2015
- [j1]Mohammad Bari, Milos Doroslovacki:
Simple Features for Separating CPFSK from QAM and PSK Modulations. IEEE Signal Process. Lett. 22(5): 613-617 (2015)
Conference and Workshop Papers
- 2020
- [c12]Ambaw B. Ambaw, Mohammad Bari, Milos Doroslovacki:
Optimizing Convolutional Neural Networks to Identify Distorted M-ary CPFSK Signals with RRC Pulse Shaped Instantaneous Frequency. ACSSC 2020: 153-156 - 2018
- [c11]Mohammad Bari, Ambaw B. Ambaw, Milos Doroslovacki:
Comparison of Machine Learning Algorithms for Raw Handwritten Digits Recognition. ACSSC 2018: 1512-1516 - 2017
- [c10]Ambaw B. Ambaw, Mohammad Bari, Milos Doroslovacki:
A case for stacked autoencoder based order recognition of continuous-phase FSK. CISS 2017: 1-6 - 2016
- [c9]Mohammad Bari, Hussain Taher, Syed Saad Sherazi, Milos Doroslovacki:
Supervised machine learning for signals having RRC shaped pulses. ACSSC 2016: 652-656 - 2015
- [c8]Mohammad Bari, Awais Khawar, Milos Doroslovacki, T. Charles Clancy:
Recognizing FM, BPSK and 16-QAM using supervised and unsupervised learning techniques. ACSSC 2015: 160-163 - [c7]Mohammad Bari, Milos Doroslovacki:
Order recognition of continuous-phase FSK. ACSSC 2015: 913-917 - [c6]Mohammad Bari, Milos Doroslovacki:
Separation of signals consisting of amplitude and instantaneous frequency RRC pulses using SNR uniform training. ACSSC 2015: 918-922 - [c5]Mohammad Bari, Milos Doroslovacki:
Robust recognition of linear and nonlinear digital modulations of RRC pulse trains. CISS 2015: 1-6 - [c4]Mohammad Bari, Milos Doroslovacki:
Identification of L-ary CPFSK in a fading channel using approximate entropy. CISS 2015: 1-6 - 2014
- [c3]Mohammad Bari, Milos Doroslovacki:
Distinguishing BFSK from QAM and PSK by sampling once per symbol. ACSSC 2014: 1006-1010 - 2013
- [c2]Mohammad Bari, Milos Doroslovacki:
Quickness of the instantaneous frequency based classifier distinguishing BFSK from QAM and PSK modulations. ACSSC 2013: 836-840 - [c1]Mohammad Bari, Hussam Mustafa, Milos I. Doroslovacki:
Performance of the instantaneous frequency based classifier distinguishing BFSK from QAM and PSK modulations for asynchronous sampling and slow and fast fading. CISS 2013: 1-6
Informal and Other Publications
- 2021
- [i4]Gautham Bekal, Mohammad Bari:
An XGBoost-Based Forecasting Framework for Product Cannibalization. CoRR abs/2111.12680 (2021) - [i3]Gautham Bekal, Mohammad Bari:
Theoretical Analysis of an XGBoost Framework for Product Cannibalization. CoRR abs/2112.01566 (2021) - 2017
- [i2]Mohammad Bari, Hussain Taher, Syed Saad Sherazi, Milos Doroslovacki:
Supervised Machine Learning for Signals Having RRC Shaped Pulses. CoRR abs/1705.06299 (2017) - 2016
- [i1]Mohammad Bari, Milos Doroslovacki:
Separation of Signals Consisting of Amplitude and Instantaneous Frequency RRC Pulses Using SNR Uniform Training. CoRR abs/1602.00057 (2016)
Coauthor Index
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