Use of clustering to improve the layout of gene network for visualization. - Nasimul Noman; Kouichi Okada; Naoki Hosoyama; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2004)

Inference of gene regulatory networks using s-system and differential evolution. - Nasimul Noman; Hitoshi Iba (GECCO, 2005)

Enhancing differential evolution performance with local search for high dimensional function optimization. - Nasimul Noman; Hitoshi Iba (GECCO, 2005)

On the Reconstruction of Gene Regulatory Networks from Noisy Expression Profiles. - Nasimul Noman; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2006)

Inference of genetic networks using S-system: information criteria for model selection. - Nasimul Noman; Hitoshi Iba (GECCO, 2006)

A new generation alternation model for differential evolution. - Nasimul Noman; Hitoshi Iba (GECCO, 2006)

Inferring Regulations in a Genomic Network from Gene Expression Profiles. - Nasimul Noman; Hitoshi Iba (Analysis of Biological Data: A Soft Computing Approach, 2007)

Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics. - Nasimul Noman; Hitoshi Iba (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Accelerating Differential Evolution Using an Adaptive Local Search. - Nasimul Noman; Hitoshi Iba (IEEE Trans. Evol. Comput., 2008)

Emergence of Cooperation in a Bio-inspired Multi-agent System. - Hiroyuki Ishiwata; Nasimul Noman; Hitoshi Iba (Australasian Conference on Artificial Intelligence, 2010)

Cellular Differential Evolution Algorithm. - Nasimul Noman; Hitoshi Iba (Australasian Conference on Artificial Intelligence, 2010)

Tuning selection pressure in differential evolution using local selection. - Nasimul Noman; Jiradej Vatanutanon; Hitoshi Iba (NaBIC, 2010)

Polynomial Selection: A new way to tune selective pressure. - Jiradej Vatanutanon; Nasimul Noman; Hitoshi Iba (NaBIC, 2010)

Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information. - Ashis Kumer Biswas; Nasimul Noman; Abdur Rahman Sikder (BMC Bioinform., 2010)

Reverse engineering gene regulatory network from microarray data using linear time-variant model. - Mitra Kabir; Nasimul Noman; Hitoshi Iba (BMC Bioinform., 2010)

An adaptive differential evolution algorithm. - Nasimul Noman; Danushka Bollegala; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2011)

Solving dynamic economic dispatch problems using cellular differential evolution. - Nasimul Noman; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2011)

RankDE: learning a ranking function for information retrieval using differential evolution. - Danushka Bollegala; Nasimul Noman; Hitoshi Iba (GECCO, 2011)

Differential evolution with self adaptive local search. - Nasimul Noman; Danushka Bollegala; Hitoshi Iba (GECCO, 2011)

Polynomial selection scheme with dynamic parameter estimation in cellular genetic algorithm. - Jiradej Vatanutanon; Nasimul Noman; Hitoshi Iba (GECCO, 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)

? constrained differential evolution for economic dispatch with valve-point effect. - Nasimul Noman; Hitoshi Iba (Int. J. Bio Inspired Comput., 2011)

The search for robust topologies of oscillatory gene regulatory networks by evolutionary computation. - Kazuki Komiya; Nasimul Noman; Hitoshi Iba (GECCO (Companion), 2012)

An Improved Artificial Bee Colony Algorithm with Non-separable Operator. - Chaogang He; Nasimul Noman; Hitoshi Iba (ICHIT (1), 2012)

On Model Selection Criteria in Reverse Engineering Gene Networks Using RNN Model. - Nasimul Noman; Leon Palafox; Hitoshi Iba (ICHIT (1), 2012)

Messy Genetic Algorithm for evolving mathematical function evaluating variable length gene regulatory networks. - Dhammika S. Hettiarachchi; Nasimul Noman; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2013)

Extending Population Based Incremental Learning using Dirichlet Processes. - Leon Palafox; Nasimul Noman; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2013)

Evolving Genetic Networks for Synthetic Biology. - Nasimul Noman; Leon Palafox; Hitoshi Iba (New Gener. Comput., 2013)

Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization. - Leon Palafox; Nasimul Noman; Hitoshi Iba (IEEE Trans. Evol. Comput., 2013)

Oscillatory Synthetic biological System Construction using Interactive Evolutionary Computations. - Quang Huy Dinh; Nasimul Noman; Hitoshi Iba (J. Comput. Sci., 2014)

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)

Optimising weights for heterogeneous ensemble of classifiers with differential evolution. - Mohammad Nazmul Haque; Nasimul Noman; Regina Berretta; Pablo Moscato (CEC, 2016)

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 039 (SSCI, 2017)

Fast Automatic Optimisation of CNN Architectures for Image Classification Using Genetic Algorithm. - Ali Bakhshi; Nasimul Noman; Zhiyong Chen 001; Mohsen Zamani; Stephan K. Chalup (CEC, 2019)

A Computational Approach for Designing Combination Therapy in Combating Glioblastoma. - Terry Truong; Pablo Moscato; Nasimul Noman (CEC, 2019)

A Novel U-Shaped Transfer Function for Binary Particle Swarm Optimisation. - Seyedeh Zahra Mirjalili; Hongyu Zhang 002; Seyedali Mirjalili; Stephan K. Chalup; Nasimul Noman (SocProS (1), 2019)

An adaptive memetic algorithm for feature selection using proximity graphs. - Amer Abu Zaher; Regina Berretta; Nasimul Noman; Pablo Moscato (Comput. Intell., 2019)

Improving the reliability of implicit averaging methods using new conditional operators for robust optimization. - Seyedeh Zahra Mirjalili; Seyedali Mirjalili; Hongyu Zhang 002; Stephan K. Chalup; Nasimul Noman (Swarm Evol. Comput., 2019)

Robust Multi-Objective optimization using Conditional Pareto Optimal Dominance. - Seyedeh Zahra Mirjalili; Stephan K. Chalup; Seyedali Mirjalili; Nasimul Noman (CEC, 2020)

Parallel LSTM Architectures for Non-Intrusive Load Monitoring in Smart Homes. - Mohamad Mobasher-Kashani; Nasimul Noman; Stephan K. Chalup (SSCI, 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 039 (Expert Syst. Appl., 2020)

Designing optimal combination therapy for personalised glioma treatment. - Nasimul Noman; Pablo Moscato (Memetic Comput., 2020)

Fast Evolution of CNN Architecture for Image Classification. - Ali Bakhshi; Stephan K. Chalup; Nasimul Noman (Deep Neural Evolution, 2020)

A Shallow Introduction to Deep Neural Networks. - Nasimul Noman (Deep Neural Evolution, 2020)

Evolutionary Hyperparameter Optimisation for Sentence Classification. - Brendan Rogers; Nasimul Noman; Stephan K. Chalup; Pablo Moscato (CEC, 2021)

Optimal Actor-Critic Policy with Optimized Training Datasets. - Chayan Banerjee; Zhiyong Chen 002; Nasimul Noman; Mohsen Zamani (CoRR, 2021)

Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience. - Chayan Banerjee; Zhiyong Chen 001; Nasimul Noman (CoRR, 2021)

Application of E-Commerce Technologies in accelerating the Success of SME Operation. - Ziad Hmwd A. Almtiri; Shah Jahan Miah; Nasimul Noman (CoRR, 2021)

Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification. - Cornelius Paardekooper; Nasimul Noman; Raymond Chiong; Vijay Varadharajan (CEC, 2022)

Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification. - Brendan Rogers; Nasimul Noman; Stephan K. Chalup; Pablo Moscato (CEC, 2022)

Impact of Business Analytics and Decision Support Systems on E-commerce in SMEs. - Ziad Hmwd A. Almtiri; Shah Jahan Miah; Nasimul Noman (DataCom, 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 (DataCom, 2022)

Playing a Multi-action, Adversarial Game in a Dynamic Environment. - Raymond Chiong; Nasimul Noman (SSCI, 2022)

Optimal Actor-Critic Policy With Optimized Training Datasets. - Chayan Banerjee; Zhiyong Chen 001; Nasimul Noman; Mohsen Zamani (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States. - Chayan Banerjee; Zhiyong Chen 002; Nasimul Noman (CDC, 2023)

Dynamic Depth for Better Generalization in Continued Fraction Regression. - Pablo Moscato; Andrew Ciezak; Nasimul Noman (GECCO, 2023)

Attacks against Federated Learning Defense Systems and their Mitigation. - Cody Lewis; Vijay Varadharajan; Nasimul Noman (J. Mach. Learn. Res., 2023)

An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling. - Siping Chen; Debiao Li; Nasimul Noman; Kyle Robert Harrison; Raymond Chiong (AI (1), 2024)

Mitigation of Gradient Inversion Attacks in Federated Learning with Private Adaptive Optimization. - Cody Lewis; Vijay Varadharajan; Nasimul Noman; Udaya Kiran Tupakula; Nan Li 007 (ICDCS, 2024)

Adoption of Remote Patient Monitoring Based on the Internet of Medical Things. - Dalal Alshehri; Raymond Chiong; Nasimul Noman; Najmul Hasan; Shah Jahan Miah (PACIS, 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)

Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples With On-Policy Experiences. - Chayan Banerjee; Zhiyong Chen 001; Nasimul Noman (IEEE Trans. Neural Networks Learn. Syst., 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., 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., 2024)

Factors influencing the adoption of Internet of Medical Things for remote patient monitoring: A systematic literature review. - Dalal Alshehri; Nasimul Noman; Raymond Chiong; Shah Jahan Miah; Aaron L. Sverdlov; Doan Tm. Ngo (Comput. Biol. Medicine, 2025)