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Bagging Supervised Autoencoder Classifier for Credit Scoring


Aug 12, 2021
Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi


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Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules


Jul 18, 2021
Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han

* Submitted to IEEE Transactions On Image Processing 

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Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning


May 10, 2021
Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda, Mohsen Pourghasemian, Nader Mokari, Melike Erol-Kantarci


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A Compact Deep Learning Model for Face Spoofing Detection


Jan 12, 2021
Seyedkooshan Hashemifard, Mohammad Akbari


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Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks


Dec 31, 2020
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu

* 10 pages, 9 figures, 1 table; accepted to IEEE Transactions on Multimedia 2020. arXiv admin note: substantial text overlap with arXiv:1912.05688 

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Twitter Spam Detection: A Systematic Review


Dec 01, 2020
Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari, Ebrahim Mahdipour

* 18 pages, 12 figures, 14 tables, 91 references 

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Dynamic Ensemble Learning for Credit Scoring: A Comparative Study


Oct 18, 2020
Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi


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Generalized Octave Convolutions for Learned Multi-Frequency Image Compression


Feb 24, 2020
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu

* 10 pages, 7 figures, 3 tables 

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Deep Learning-based Image Compression with Trellis Coded Quantization


Jan 26, 2020
Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang

* Accepted in Data Compression Conference (DCC) 2020 

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Learned Variable-Rate Image Compression with Residual Divisive Normalization


Dec 11, 2019
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu

* 6 pages, 5 figures 

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MarlRank: Multi-agent Reinforced Learning to Rank


Sep 15, 2019
Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang

* CIKM 2019 

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Using Contextual Information to Improve Blood Glucose Prediction


Aug 24, 2019
Mohammad Akbari, Rumi Chunara

* 17 pages, 3 figures 

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Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs


Jul 15, 2019
Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian zhang, Mohammad Akbari, Jie Liang, Chengjie Tu

* Submitted to Signal Processing: Image Communication 

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Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning


Mar 01, 2019
Mostafa Rezazad, Matthias R. Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung

* Advances in Intelligent Systems and Computing, 2018 
* arXiv admin note: text overlap with arXiv:1801.00235 

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Named Entity Disambiguation using Deep Learning on Graphs


Oct 22, 2018
Alberto Cetoli, Mohammad Akbari, Stefano Bragaglia, Andrew D. O'Harney, Marc Sloan


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DSSLIC: Deep Semantic Segmentation-based Layered Image Compression


Jul 11, 2018
Mohammad Akbari, Jie Liang, Jingning Han

* - Experimental results for another dataset added. - More visual examples added 

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Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation


Jun 01, 2018
Mohammad Akbari, Jie Liang

* 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 2321-2325 
* 5 pages, 6 figures, ICASSP 2018 

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