N. Noman

发表

Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics

H. Iba, N. Noman, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Reverse engineering genetic networks using evolutionary computation.

H. Iba, N. Noman, 2005, Genome informatics. International Conference on Genome Informatics.

Differential evolution for economic load dispatch problems

H. Iba, N. Noman, 2008 .

Evolving Robust Gene Regulatory Networks

H. Iba, N. Noman, P. Moscato, 2015, PloS one.

Temperature compensation via cooperative stability in protein degradation

H. Iba, N. Noman, Yoshihiko Hasegawa, 2015, 1503.01862.

Pulse Detecting Genetic Circuit – A New Design Approach

Mara C Inniss, H. Iba, N. Noman, 2016, PloS one.

Evolving GRN‐Inspired in VITRO oscillatory systems

H. Iba, N. Noman, Y. Rondelez, 2016 .

INFERRING GRAPH-BASED VISUALIZATION OF GENE REGULATORY NETWORKS IN 3 D USING GENETIC ALGORITHM

N. Noman, Sumon Ahmed, M. S. Islam, 2014 .

Interring Graph-based Visualization of Gene Regulatory Networks in 3 D Using Genetic Algorithm

N. Noman, Sumon Ahmed, M. S. Islam, 2014 .

A memetic algorithm for reconstructing gene regulatory networks from expression profile

N. Noman, 2007 .

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

V. Varadharajan, N. Noman, R. Chiong, 2022, 2022 IEEE Congress on Evolutionary Computation (CEC).

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

S. Chalup, N. Noman, P. Moscato, 2022, 2022 IEEE Congress on Evolutionary Computation (CEC).

Designing optimal combination therapy for personalised glioma treatment

Pablo Moscato, Nasimul Noman, N. Noman, 2020, Memetic Computing.

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

Ashis Kumer Biswas, Nasimul Noman, Abdur Rahman Sikder, 2010, BMC Bioinformatics.

Extending Population Based Incremental Learning using Dirichlet Processes

Hitoshi Iba, Leon Palafox, Nasimul Noman, 2013, 2013 IEEE Congress on Evolutionary Computation.

Evolving Genetic Networks for Synthetic Biology

Hitoshi Iba, Leon Palafox, Nasimul Noman, 2013, New Generation Computing.

A Brief Introduction to Evolutionary and other Nature‐Inspired Algorithms

Hitoshi Iba, Nasimul Noman, H. Iba, 2016 .

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

Hitoshi Iba, Nasimul Noman, Dhammika S. Hettiarachchi, 2013, 2013 IEEE Congress on Evolutionary Computation.

Accelerating Differential Evolution Using an Adaptive Local Search

Hitoshi Iba, Nasimul Noman, H. Iba, 2008, IEEE Transactions on Evolutionary Computation.

An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems

Hitoshi Iba, Teruo Fujii, Nasimul Noman, 2015, IEEE Transactions on Evolutionary Computation.

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

Stephan K. Chalup, Hongyu Zhang, Seyedali Mirjalili, 2019, Swarm Evol. Comput..

Solving dynamic economic dispatch problems using cellular differential evolution

Hitoshi Iba, Nasimul Noman, H. Iba, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

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

Hitoshi Iba, Nasimul Noman, H. Iba, 2005, GECCO '05.

A prior knowledge based approach to infer gene regulatory networks

Hitoshi Iba, Md. Mahmudul Hasan, Nasimul Noman, 2010 .

A new generation alternation model for differential evolution

Hitoshi Iba, Nasimul Noman, H. Iba, 2006, GECCO '06.

Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization

Hitoshi Iba, Leon Palafox, Nasimul Noman, 2013, IEEE Transactions on Evolutionary Computation.

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

Stephan K. Chalup, Hongyu Zhang, Seyedali Mirjalili, 2019, SocProS.

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

Raymond Chiong, Rui Zhang, Nasimul Noman, 2020, Expert Syst. Appl..

An Improved Artificial Bee Colony Algorithm with Non-separable Operator

Hitoshi Iba, Nasimul Noman, Chaogang He, 2012, ICHIT.

The ABC algorithm Required Parameters : Max _ Iteration , PopulationSize , Limit 1 : Initialize the food sources 2 : Evaluate the food sources 3 : Iteration = 1 4 : while Iteration

N. Noman, Chaogang He, 2012 .

Evolving Genetic Networks for Synthetic Biology

H. Iba, N. Noman, Leon F Palafox, 2013, New Generation Computing.

Informative Motif Detection Using Data Mining

N. Noman, M. Mohebujjaman, 2011 .

Evolutionary Computation in Gene Regulatory Network Research

Hitoshi Iba, Nasimul Noman, H. Iba, 2016 .

Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification

Regina Berretta, Pablo Moscato, Nasimul Noman, 2016, PloS one.

A Computational Approach for Designing Combination Therapy in Combating Glioblastoma

Pablo Moscato, Nasimul Noman, Terry Truong, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

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

Nasimul Noman, Stephan Chalup, Mohammad Mobasher-Kashani, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Fast Evolution of CNN Architecture for Image Classification

Stephan K. Chalup, Nasimul Noman, Ali Bakhshi, 2020, Deep Neural Evolution.

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

Zhiyong Chen, Nasimul Noman, Stephan Chalup, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Optimising weights for heterogeneous ensemble of classifiers with differential evolution

Regina Berretta, Pablo Moscato, Nasimul Noman, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

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

Nasimul Noman, A. K. M. Azad, Hyunju Lee, 2011, Algorithms for Molecular Biology.

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

Raymond Chiong, Rui Zhang, Nasimul Noman, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Oscillatory Synthetic biological System Construction using Interactive Evolutionary Computations

Hitoshi Iba, Nasimul Noman, Quang Huy Dinh, 2014, J. Comput. Sci..

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

Hitoshi Iba, Nasimul Noman, H. Iba, 2006, GECCO.

New Frontier in Evolutionary Algorithms: Theory and Applications

Hitoshi Iba, Nasimul Noman, H. Iba, 2011 .

On the Reconstruction of Gene Regulatory Networks from Noisy Expression Profiles

Hitoshi Iba, Nasimul Noman, H. Iba, 2006, 2006 IEEE International Conference on Evolutionary Computation.

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

N. Noman, S. Miah, Z. H. A. Almtiri, 2022, DataCom.

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

Hitoshi Iba, Nasimul Noman, Mitra Kabir, 2010, BMC Bioinformatics.

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

Hitoshi Iba, Nasimul Noman, H. Iba, 2005, GECCO '05.

Inferring Genetic Networks with a Recurrent Neural Network Model Using Differential Evolution

Hitoshi Iba, Leon Palafox, Nasimul Noman, 2014 .

Study on the Use of Evolutionary Techniques for Inference in Gene Regulatory Networks

Hitoshi Iba, Leon Palafox, Nasimul Noman, 2013 .

Reconstruction of Gene Regulatory Networks from Gene Expression Data Using Decoupled Recurrent Neural Network Model

Hitoshi Iba, Leon Palafox, Nasimul Noman, 2013 .

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

Zhiyong Chen, Nasimul Noman, Chayan Banerjee, 2021, IEEE transactions on neural networks and learning systems.

Dynamic Depth for Better Generalization in Continued Fraction Regression

N. Noman, P. Moscato, A. Ciezak, 2023, GECCO.

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

Danushka Bollegala, Hitoshi Iba, Nasimul Noman, 2011, GECCO '11.

? Constrained Differential Evolution for Economic Dispatch with Valve-point Effect

Hitoshi Iba, Nasimul Noman, H. Iba, 2011, Int. J. Bio Inspired Comput..

Optimal Actor-Critic Policy With Optimized Training Datasets pdf

Zhiyong Chen, Nasimul Noman, Mohsen Zamani, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

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

N. Noman, C. Banerjee, Zhiyong Chen, 2022, ArXiv.

Enhancing Exploration in Actor-Critic Algorithms:An Approach to Incentivize Plausible Novel States

N. Noman, C. Banerjee, Zhiyong Chen, 2022 .

A Shallow Introduction to Deep Neural Networks

Nasimul Noman, N. Noman, 2020, Deep Neural Evolution.

Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics

H. Iba, N. Noman, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.