b'Amir Hussain'

research

∙ 01/24/2022

A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement

In acoustic signal processing, the target signals usually carry semantic...

Tassadaq Hussain, et al. ∙

research

∙ 12/16/2021

Towards Robust Real-time Audio-Visual Speech Enhancement

The human brain contextually exploits heterogeneous sensory information ...

Mandar Gogate, et al. ∙

research

∙ 11/18/2021

Towards Intelligibility-Oriented Audio-Visual Speech Enhancement

Existing deep learning (DL) based speech enhancement approaches are gene...

Tassadaq Hussain, et al. ∙

research

∙ 11/01/2021

PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild

Automatic nuclei segmentation and classification plays a vital role in d...

Kai Yao, et al. ∙

research

∙ 04/29/2021

Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning

Graph representation learning has become a ubiquitous component in many ...

Indro Spinelli, et al. ∙

research

∙ 04/19/2021

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling

Nonlinear models are known to provide excellent performance in real-worl...

Danilo Comminiello, et al. ∙

research

∙ 03/24/2021

Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images

Common horizontal bounding box (HBB)-based methods are not capable of ac...

Yishan He, et al. ∙

research

∙ 03/20/2021

A novel multimodal fusion network based on a joint coding model for lane line segmentation

There has recently been growing interest in utilizing multimodal sensors...

Zhenhong Zou, et al. ∙

research

∙ 03/16/2021

Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection

Segmentation-based methods are widely used for scene text detection due ...

Chenwei Cui, et al. ∙

research

∙ 03/03/2021

A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis

Most recent works on sentiment analysis have exploited the text modality...

Kia Dashtipour, et al. ∙

research

∙ 11/19/2020

Persuasive Dialogue Understanding: the Baselines and Negative Results

Persuasion aims at forming one's opinion and action via a series of pers...

Hui Chen, et al. ∙

research

∙ 05/03/2020

Improving Aspect-Level Sentiment Analysis with Aspect Extraction

Aspect-based sentiment analysis (ABSA), a popular research area in NLP h...

Navonil Majumder, et al. ∙

research

∙ 02/28/2020

Deep Learning in Mining Biological Data

Recent technological advancements in data acquisition tools allowed life...

Mufti Mahmud, et al. ∙

research

∙ 02/19/2020

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations

In recent years, a great variety of nature- and bio-inspired algorithms ...

Daniel Molina, et al. ∙

research

∙ 02/19/2020

Taxonomy of bio-inspired algorithms

In recent years, a great variety of nature and bio-inspired algorithms h...

Daniel Molina, et al. ∙

research

∙ 09/30/2019

AV Speech Enhancement Challenge using a Real Noisy Corpus

This paper presents, a first of its kind, audio-visual (AV) speech enhac...

Mandar Gogate, et al. ∙

research

∙ 09/30/2019

A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks

Social media hold valuable, vast and unstructured information on public ...

Kia Dashtipour, et al. ∙

research

∙ 09/23/2019

CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement

Noisy situations cause huge problems for suffers of hearing loss as hear...

Mandar Gogate, et al. ∙

research

∙ 09/23/2019

A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management

Extreme events and disasters resulting from climate change or other ecol...

Ahsan Adeel, et al. ∙

research

∙ 09/13/2018

Real-Time Lightweight Chaotic Encryption for 5G IoT Enabled Lip-Reading Driven Secure Hearing-Aid

Existing audio-only hearing-aids are known to perform poorly in noisy si...

Ahsan Adeel, et al. ∙

research

∙ 08/28/2018

Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments

Human speech processing is inherently multimodal, where visual cues (lip...

Ahsan Adeel, et al. ∙

research

∙ 08/25/2018

Saliency Detection via Bidirectional Absorbing Markov Chain

Traditional saliency detection via Markov chain only considers boundarie...

Fengling Jiang, et al. ∙

research

∙ 08/16/2018

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection

Attackers have developed ever more sophisticated and intelligent ways to...

Cosimo Ieracitano, et al. ∙

research

∙ 08/15/2018

SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis

Data annotation is an important but time-consuming and costly procedure....

Imane Guellil, et al. ∙

research

∙ 08/15/2018

Exploiting Deep Learning for Persian Sentiment Analysis

The rise of social media is enabling people to freely express their opin...

Kia Dashtipour, et al. ∙

research

∙ 07/31/2018

DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation

Human auditory cortex excels at selectively suppressing background noise...

Mandar Gogate, et al. ∙

research

∙ 07/31/2018

Lip-Reading Driven Deep Learning Approach for Speech Enhancement

This paper proposes a novel lip-reading driven deep learning framework f...

Ahsan Adeel, et al. ∙

research

∙ 03/19/2018

Multimodal Sentiment Analysis: Addressing Key Issues and Setting up Baselines

Sentiment analysis is proven to be very useful tool in many applications...

Soujanya Poria, et al. ∙

research

∙ 02/22/2018

Complex-valued Neural Networks with Non-parametric Activation Functions

Complex-valued neural networks (CVNNs) are a powerful modeling tool for ...

Simone Scardapane, et al. ∙

research

∙ 01/11/2018

A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications

Rapid popularity of Internet of Things (IoT) and cloud computing permits...

Mufti Mahmud, et al. ∙

research

∙ 11/10/2017

Applications of Deep Learning and Reinforcement Learning to Biological Data

Rapid advancement in the hardware based technologies over past decades o...

Mufti Mahmud, et al. ∙

research

∙ 08/22/2017

Towards a Formal, Visual Framework of Emergent Cognitive Development of Scholars

Understanding the cognitive evolution of researchers as they progress in...

Amir Hussain, et al. ∙

research

∙ 08/20/2017

Clinical Decision Support Systems: A Visual Survey

Clinical Decision Support Systems (CDSS) form an important area of resea...

Kamran Farooq, et al. ∙

research

∙ 08/19/2017

A novel agent-based simulation framework for sensing in complex adaptive environments

In this paper we present a novel Formal Agent-Based Simulation framework...

Muaz A. Niazi, et al. ∙

research

∙ 08/19/2017

Agent-based computing from multi-agent systems to agent-based Models: a visual survey

Agent-Based Computing is a diverse research domain concerned with the bu...

Muaz A. Niazi, et al. ∙

research

∙ 08/10/2017

A discrete event system specification (DEVS)-based model of consanguinity

Consanguinity or inter-cousin marriage is a phenomenon quite prevalent i...

Noreen Akhtar, et al. ∙

research

∙ 08/08/2017

Verification & Validation of Agent Based Simulations using the VOMAS (Virtual Overlay Multi-agent System) approach

Agent Based Models are very popular in a number of different areas. For ...

Muaz A. Niazi, et al. ∙

research

∙ 08/04/2017

Agent based Tools for Modeling and Simulation of Self-Organization in Peer-to-Peer, Ad-Hoc and other Complex Networks

Agent-based modeling and simulation tools provide a mature platform for ...

Muaz A. Niazi, et al. ∙

research

∙ 07/29/2017

Benchmarking Multimodal Sentiment Analysis

We propose a framework for multimodal sentiment analysis and emotion rec...

Erik Cambria, et al. ∙

research

∙ 07/02/2016

Group Sparse Regularization for Deep Neural Networks

In this paper, we consider the joint task of simultaneously optimizing (...

Simone Scardapane, et al. ∙

Amir Hussain

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