876 citations · 2.4k across the 17 of their papers we have counts for
19 papers
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizers by Exploiting Strong Convexity
Yangfan Zhou, Kaizhu Huang, Cheng Cheng +3
AdaBelief, one of the current best optimizers, demonstrates superior generalization ability compared to the popular Adam algorithm by viewing the exponential moving average of obse…
Improving Aspect-Level Sentiment Analysis with Aspect Extraction
Navonil Majumder, Rishabh Bhardwaj, Soujanya Poria +4
Aspect-based sentiment analysis (ABSA), a popular research area in NLP has two distinct parts -- aspect extraction (AE) and labeling the aspects with sentiment polarity (ALSA). Alt…
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations (from 2020 to 2024)
Daniel Molina, Javier Poyatos, Javier Del Ser +3
In recent years, bio-inspired optimization methods, which mimic biological processes to solve complex problems, have gained popularity in recent literature. The proliferation of pr…
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management
Ahsan Adeel, Mandar Gogate, Saadullah Farooq +4
Extreme events and disasters resulting from climate change or other ecological factors are difficult to predict and manage. Current limitations of state-of-the-art approaches to di…
Saliency Detection via Bidirectional Absorbing Markov Chain
Fengling Jiang, Bin Kong, Ahsan Adeel +2
Traditional saliency detection via Markov chain only considers boundaries nodes. However, in addition to boundaries cues, background prior and foreground prior cues play a compleme…
Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection
Cosimo Ieracitano, Ahsan Adeel, Mandar Gogate +5
Attackers have developed ever more sophisticated and intelligent ways to hack information and communication technology systems. The extent of damage an individual hacker can carry…
SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis
Imane Guellil, Ahsan Adeel, Faical Azouaou +1
Data annotation is an important but time-consuming and costly procedure. To sort a text into two classes, the very first thing we need is a good annotation guideline, establishing…
Exploiting Deep Learning for Persian Sentiment Analysis
Kia Dashtipour, Mandar Gogate, Ahsan Adeel +3
The rise of social media is enabling people to freely express their opinions about products and services. The aim of sentiment analysis is to automatically determine subject's sent…
A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications
Mufti Mahmud, M. Shamim Kaiser, M. Mostafizur Rahman +4
Rapid popularity of Internet of Things (IoT) and cloud computing permits neuroscientists to collect multilevel and multichannel brain data to better understand brain functions, dia…
Applications of Deep Learning and Reinforcement Learning to Biological Data
Mufti Mahmud, M. Shamim Kaiser, Amir Hussain +1
Rapid advances of hardware-based technologies during the past decades have opened up new possibilities for Life scientists to gather multimodal data in various application domains…
Towards a Formal, Visual Framework of Emergent Cognitive Development of Scholars
Amir Hussain, Muaz A. Niazi
Understanding the cognitive evolution of researchers as they progress in the academia is an important but complex problem, a problem belonging to a class of problems, which often r…
Clinical Decision Support Systems: A Visual Survey
Kamran Farooq, Bisma S Khan, Muaz A Niazi +2
Clinical Decision Support Systems (CDSS) form an important area of research. In spite of its importance, it is difficult for researchers to evaluate the domain primarily because of…
A novel agent-based simulation framework for sensing in complex adaptive environments
Muaz A. Niazi, Amir Hussain
In this paper we present a novel Formal Agent-Based Simulation framework (FABS). FABS uses formal specification as a means of clear description of wireless sensor networks (WSN) se…
Agent-based computing from multi-agent systems to agent-based Models: a visual survey
Muaz A. Niazi, Amir Hussain
Agent-Based Computing is a diverse research domain concerned with the building of intelligent software based on the concept of "agents". In this paper, we use Scientometric analysi…
A discrete event system specification (DEVS)-based model of consanguinity
Noreen Akhtar, Muaz A. Niazi, Farah Mustafa +1
Consanguinity or inter-cousin marriage is a phenomenon quite prevalent in certain regions around the globe. Consanguineous parents have a higher risk of having offspring with conge…
Verification & Validation of Agent Based Simulations using the VOMAS (Virtual Overlay Multi-agent System) approach
Muaz A. Niazi, Amir Hussain, Mario Kolberg
Agent Based Models are very popular in a number of different areas. For example, they have been used in a range of domains ranging from modeling of tumor growth, immune systems, mo…
Agent based Tools for Modeling and Simulation of Self-Organization in Peer-to-Peer, Ad-Hoc and other Complex Networks
Muaz A. Niazi, Amir Hussain
Agent-based modeling and simulation tools provide a mature platform for development of complex simulations. They however, have not been applied much in the domain of mainstream mod…
Benchmarking Multimodal Sentiment Analysis
Erik Cambria, Devamanyu Hazarika, Soujanya Poria +2
We propose a framework for multimodal sentiment analysis and emotion recognition using convolutional neural network-based feature extraction from text and visual modalities. We obt…
Group Sparse Regularization for Deep Neural Networks
Simone Scardapane, Danilo Comminiello, Amir Hussain +1
In this paper, we consider the joint task of simultaneously optimizing (i) the weights of a deep neural network, (ii) the number of neurons for each hidden layer, and (iii) the sub…