Nasimul Noman

According to our database, Nasimul Noman authored at least 64 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning.

Cody Lewis, Vijay Varadharajan, Nasimul Noman, Udaya Kiran Tupakula

ACM Trans. Intell. Syst. Technol., June, 2024

A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm.

Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato

Evol. Intell., June, 2024

Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples With On-Policy Experiences.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman

IEEE Trans. Neural Networks Learn. Syst., March, 2024

A Metaheuristic Framework for Energy-Intensive Industries With Batch Processing Machines.

Mehdi Abedi, Raymond Chiong, Nasimul Noman, Xiaoya Liao, Debiao Li

IEEE Trans. Engineering Management, 2024

Adoption of Remote Patient Monitoring Based on the Internet of Medical Things.

Dalal Alshehri, Raymond Chiong, Nasimul Noman, Najmul Hasan, Shah Jahan Miah

Proceedings of the 28th Pacific Asia Conference on Information Systems, 2024

Mitigation of Gradient Inversion Attacks in Federated Learning with Private Adaptive Optimization.

Cody Lewis, Vijay Varadharajan, Nasimul Noman, Udaya Kiran Tupakula, Nan Li

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling.

Siping Chen, Debiao Li, Nasimul Noman, Kyle Robert Harrison, Raymond Chiong

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

Attacks against Federated Learning Defense Systems and their Mitigation.

Cody Lewis, Vijay Varadharajan, Nasimul Noman

J. Mach. Learn. Res., 2023

Dynamic Depth for Better Generalization in Continued Fraction Regression.

Pablo Moscato, Andrew Ciezak, Nasimul Noman

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Optimal Actor-Critic Policy With Optimized Training Datasets.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Playing a Multi-action, Adversarial Game in a Dynamic Environment.

Raymond Chiong, Nasimul Noman

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An Overview of the Internet of Things (IoT) Applications in the Health Sector in Saudi Arabi.

Feisal Hadi Masmali, Shah Jahan Miah, Nasimul Noman

Proceedings of the Big Data Intelligence and Computing, 2022

Impact of Business Analytics and Decision Support Systems on E-commerce in SMEs.

Ziad Hmwd A. Almtiri, Shah Jahan Miah, Nasimul Noman

Proceedings of the Big Data Intelligence and Computing, 2022

Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification.

Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification.

Cornelius Paardekooper, Nasimul Noman, Raymond Chiong, Vijay Varadharajan

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Application of E-Commerce Technologies in accelerating the Success of SME Operation.

Ziad Hmwd A. Almtiri, Shah Jahan Miah, Nasimul Noman

CoRR, 2021

Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman

CoRR, 2021

Optimal Actor-Critic Policy with Optimized Training Datasets.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani

CoRR, 2021

Evolutionary Hyperparameter Optimisation for Sentence Classification.

Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

A Shallow Introduction to Deep Neural Networks.

Nasimul Noman

Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

Fast Evolution of CNN Architecture for Image Classification.

Ali Bakhshi, Stephan K. Chalup, Nasimul Noman

Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

Designing optimal combination therapy for personalised glioma treatment.

Nasimul Noman, Pablo Moscato

Memetic Comput., 2020

A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines.

Mehdi Abedi, Raymond Chiong, Nasimul Noman, Rui Zhang

Expert Syst. Appl., 2020

Parallel LSTM Architectures for Non-Intrusive Load Monitoring in Smart Homes.

Mohamad Mobasher-Kashani, Nasimul Noman, Stephan K. Chalup

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Robust Multi-Objective optimization using Conditional Pareto Optimal Dominance.

Seyedeh Zahra Mirjalili, Stephan K. Chalup, Seyedali Mirjalili, Nasimul Noman

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Improving the reliability of implicit averaging methods using new conditional operators for robust optimization.

Seyedeh Zahra Mirjalili, Seyedali Mirjalili, Hongyu Zhang, Stephan K. Chalup, Nasimul Noman

Swarm Evol. Comput., 2019

An adaptive memetic algorithm for feature selection using proximity graphs.

Amer Abu Zaher, Regina Berretta, Nasimul Noman, Pablo Moscato

Comput. Intell., 2019

A Novel U-Shaped Transfer Function for Binary Particle Swarm Optimisation.

Seyedeh Zahra Mirjalili, Hongyu Zhang, Seyedali Mirjalili, Stephan K. Chalup, Nasimul Noman

Proceedings of the Soft Computing for Problem Solving 2019, 2019

A Computational Approach for Designing Combination Therapy in Combating Glioblastoma.

Terry Truong, Pablo Moscato, Nasimul Noman

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Fast Automatic Optimisation of CNN Architectures for Image Classification Using Genetic Algorithm.

Ali Bakhshi, Nasimul Noman, Zhiyong Chen, Mohsen Zamani, Stephan K. Chalup

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2017

A hybrid particle swarm optimisation approach for energy-efficient single machine scheduling with cumulative deterioration and multiple maintenances.

Mehdi Abedi, Raymond Chiong, Nasimul Noman, Rui Zhang

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Optimising weights for heterogeneous ensemble of classifiers with differential evolution.

Mohammad Nazmul Haque, Nasimul Noman, Regina Berretta, Pablo Moscato

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems.

Quang Huy Dinh, Nathanael Aubert, Nasimul Noman, Teruo Fujii, Yannick Rondelez, Hitoshi Iba

IEEE Trans. Evol. Comput., 2015

2014

Oscillatory Synthetic biological System Construction using Interactive Evolutionary Computations.

Quang Huy Dinh, Nasimul Noman, Hitoshi Iba

J. Comput. Sci., 2014

2013

Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization.

Leon Palafox, Nasimul Noman, Hitoshi Iba

IEEE Trans. Evol. Comput., 2013

Evolving Genetic Networks for Synthetic Biology.

Nasimul Noman, Leon Palafox, Hitoshi Iba

New Gener. Comput., 2013

Extending Population Based Incremental Learning using Dirichlet Processes.

Leon Palafox, Nasimul Noman, Hitoshi Iba

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Messy Genetic Algorithm for evolving mathematical function evaluating variable length gene regulatory networks.

Dhammika S. Hettiarachchi, Nasimul Noman, Hitoshi Iba

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

On Model Selection Criteria in Reverse Engineering Gene Networks Using RNN Model.

Nasimul Noman, Leon Palafox, Hitoshi Iba

Proceedings of the Convergence and Hybrid Information Technology, 2012

An Improved Artificial Bee Colony Algorithm with Non-separable Operator.

Chaogang He, Nasimul Noman, Hitoshi Iba

Proceedings of the Convergence and Hybrid Information Technology, 2012

The search for robust topologies of oscillatory gene regulatory networks by evolutionary computation.

Kazuki Komiya, Nasimul Noman, Hitoshi Iba

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

? constrained differential evolution for economic dispatch with valve-point effect.

Nasimul Noman, Hitoshi Iba

Int. J. Bio Inspired Comput., 2011

Prediction of plant promoters based on hexamers and random triplet pair analysis.

A. K. M. Azad, Saima Shahid, Nasimul Noman, Hyunju Lee

Algorithms Mol. Biol., 2011

Polynomial selection scheme with dynamic parameter estimation in cellular genetic algorithm.

Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Differential evolution with self adaptive local search.

Nasimul Noman, Danushka Bollegala, Hitoshi Iba

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

RankDE: learning a ranking function for information retrieval using differential evolution.

Danushka Bollegala, Nasimul Noman, Hitoshi Iba

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Solving dynamic economic dispatch problems using cellular differential evolution.

Nasimul Noman, Hitoshi Iba

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

An adaptive differential evolution algorithm.

Nasimul Noman, Danushka Bollegala, Hitoshi Iba

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Reverse engineering gene regulatory network from microarray data using linear time-variant model.

Mitra Kabir, Nasimul Noman, Hitoshi Iba

BMC Bioinform., 2010

Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information.

Ashis Kumer Biswas, Nasimul Noman, Abdur Rahman Sikder

BMC Bioinform., 2010

Polynomial Selection: A new way to tune selective pressure.

Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba

Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Tuning selection pressure in differential evolution using local selection.

Nasimul Noman, Jiradej Vatanutanon, Hitoshi Iba

Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Cellular Differential Evolution Algorithm.

Nasimul Noman, Hitoshi Iba

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Emergence of Cooperation in a Bio-inspired Multi-agent System.

Hiroyuki Ishiwata, Nasimul Noman, Hitoshi Iba

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2008

Accelerating Differential Evolution Using an Adaptive Local Search.

Nasimul Noman, Hitoshi Iba

IEEE Trans. Evol. Comput., 2008

2007

Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics.

Nasimul Noman, Hitoshi Iba

IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Inferring Regulations in a Genomic Network from Gene Expression Profiles.

Nasimul Noman, Hitoshi Iba

Proceedings of the Analysis of Biological Data: A Soft Computing Approach, 2007

2006

A new generation alternation model for differential evolution.

Nasimul Noman, Hitoshi Iba

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Inference of genetic networks using S-system: information criteria for model selection.

Nasimul Noman, Hitoshi Iba

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

On the Reconstruction of Gene Regulatory Networks from Noisy Expression Profiles.

Nasimul Noman, Hitoshi Iba

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Enhancing differential evolution performance with local search for high dimensional function optimization.

Nasimul Noman, Hitoshi Iba

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Inference of gene regulatory networks using s-system and differential evolution.

Nasimul Noman, Hitoshi Iba

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

Use of clustering to improve the layout of gene network for visualization.

Nasimul Noman, Kouichi Okada, Naoki Hosoyama, Hitoshi Iba

Proceedings of the IEEE Congress on Evolutionary Computation, 2004