Mohammad Akbari | DeepAI

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∙ 08/03/2023

ETran: Energy-Based Transferability Estimation

This paper addresses the problem of ranking pre-trained models for objec...

0 Mohsen Gholami, et al. ∙

∙ 07/29/2023

EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction

Social platforms have emerged as a crucial platform for disseminating an...

0 Mohammadali Sefidi Esfahani, et al. ∙

∙ 03/01/2023

A Persian Benchmark for Joint Intent Detection and Slot Filling

Natural Language Understanding (NLU) is important in today's technology ...

0 Masoud Akbari, et al. ∙

∙ 03/01/2022

E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models

Building huge and highly capable language models has been a trend in the...

0 Mohammad Akbari, et al. ∙

∙ 12/29/2021

Deep Learning meets Liveness Detection: Recent Advancements and Challenges

Facial biometrics has been recently received tremendous attention as a c...

0 Arian Sabaghi, et al. ∙

∙ 10/20/2021

EBJR: Energy-Based Joint Reasoning for Adaptive Inference

State-of-the-art deep learning models have achieved significant performa...

0 Mohammad Akbari, et al. ∙

∙ 10/15/2021

Advances and Challenges in Deep Lip Reading

Driven by deep learning techniques and large-scale datasets, recent year...

0 Marzieh Oghbaie, et al. ∙

∙ 08/12/2021

Bagging Supervised Autoencoder Classifier for Credit Scoring

Credit scoring models, which are among the most potent risk management t...

0 Mahsan Abdoli, et al. ∙

∙ 05/10/2021

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

In delay-sensitive industrial internet of things (IIoT) applications, th...

4 Mohammad Akbari, et al. ∙

∙ 01/12/2021

A Compact Deep Learning Model for Face Spoofing Detection

In recent years, face biometric security systems are rapidly increasing,...

0 Seyedkooshan Hashemifard, et al. ∙

∙ 12/31/2020

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

Recently deep learning-based image compression has shown the potential t...

6 Mohammad Akbari, et al. ∙

∙ 11/30/2020

Twitter Spam Detection: A Systematic Review

Nowadays, with the rise of Internet access and mobile devices around the...

0 Sepideh Bazzaz Abkenar, et al. ∙

∙ 10/18/2020

Dynamic Ensemble Learning for Credit Scoring: A Comparative Study

Automatic credit scoring, which assesses the probability of default by l...

0 Mahsan Abdoli, et al. ∙

∙ 02/24/2020

Generalized Octave Convolutions for Learned Multi-Frequency Image Compression

Learned image compression has recently shown the potential to outperform...

8 Mohammad Akbari, et al. ∙

∙ 01/26/2020

Deep Learning-based Image Compression with Trellis Coded Quantization

Recently many works attempt to develop image compression models based on...

0 Binglin Li, et al. ∙

∙ 12/11/2019

Learned Variable-Rate Image Compression with Residual Divisive Normalization

Recently it has been shown that deep learning-based image compression ha...

0 Mohammad Akbari, et al. ∙

∙ 09/15/2019

MarlRank: Multi-agent Reinforced Learning to Rank

When estimating the relevancy between a query and a document, ranking mo...

2 Shihao Zou, et al. ∙

∙ 08/24/2019

Using Contextual Information to Improve Blood Glucose Prediction

Blood glucose value prediction is an important task in diabetes manageme...

0 Mohammad Akbari, et al. ∙

∙ 07/15/2019

Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs

Recently deep learning-based methods have been applied in image compress...

0 Haisheng Fu, et al. ∙

∙ 03/01/2019

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

A novel class of extreme link-flooding DDoS (Distributed Denial of Servi...

0 Mostafa Rezazad, et al. ∙

∙ 12/03/2018

From the User to the Medium: Neural Profiling Across Web Communities

Online communities provide a unique way for individuals to access inform...

0 Mohammad Akbari, et al. ∙

∙ 10/22/2018

Named Entity Disambiguation using Deep Learning on Graphs

We tackle NED by comparing entities in short sentences with graphs. Cre...

0 Alberto Cetoli, et al. ∙

∙ 06/08/2018

DSSLIC: Deep Semantic Segmentation-based Layered Image Compression

Deep learning has revolutionized many computer vision fields in the last...

0 Mohammad Akbari, et al. ∙

∙ 06/01/2018

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

A semi-recurrent hybrid VAE-GAN model for generating sequential data is ...

0 Mohammad Akbari, et al. ∙

∙ 03/23/2018

Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes

Social Media offers a unique window into measuring attitudes like racism...

0 Kunal Relia, et al. ∙

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