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2020 – today
- 2024
[j20]Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato:
A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm. Evol. Intell. 17(3): 1933-1952 (2024)- [j19]Mehdi Abedi, Raymond Chiong
, Nasimul Noman, Xiaoya Liao, Debiao Li:
A Metaheuristic Framework for Energy-Intensive Industries With Batch Processing Machines. IEEE Trans. Engineering Management 71: 4502-4516 (2024) - [j18]Cody Lewis, Vijay Varadharajan, Nasimul Noman, Udaya Kiran Tupakula:
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning. ACM Trans. Intell. Syst. Technol. 15(3): 56:1-56:30 (2024) - [j17]Chayan Banerjee, Zhiyong Chen, Nasimul Noman:
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples With On-Policy Experiences. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3121-3129 (2024) - [c37]Cody Lewis, Vijay Varadharajan, Nasimul Noman, Udaya Kiran Tupakula, Nan Li:
Mitigation of Gradient Inversion Attacks in Federated Learning with Private Adaptive Optimization. ICDCS 2024: 833-845 - [c36]Dalal Alshehri, Raymond Chiong, Nasimul Noman, Najmul Hasan, Shah Jahan Miah:
Adoption of Remote Patient Monitoring Based on the Internet of Medical Things. PACIS 2024 - 2023
- [j16]Cody Lewis, Vijay Varadharajan, Nasimul Noman:
Attacks against Federated Learning Defense Systems and their Mitigation. J. Mach. Learn. Res. 24: 30:1-30:50 (2023) - [c35]Chayan Banerjee, Zhiyong Chen, Nasimul Noman:
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States. CDC 2023: 7009-7014 - [c34]Pablo Moscato, Andrew Ciezak, Nasimul Noman:
Dynamic Depth for Better Generalization in Continued Fraction Regression. GECCO 2023: 520-528 - 2022
- [j15]Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani:
Optimal Actor-Critic Policy With Optimized Training Datasets. IEEE Trans. Emerg. Top. Comput. Intell. 6(6): 1324-1334 (2022) - [c33]Cornelius Paardekooper, Nasimul Noman, Raymond Chiong, Vijay Varadharajan:
Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification. CEC 2022: 1-8 - [c32]Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato:
Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification. CEC 2022: 1-8 - [c31]Ziad Hmwd A. Almtiri, Shah Jahan Miah, Nasimul Noman:
Impact of Business Analytics and Decision Support Systems on E-commerce in SMEs. DataCom 2022: 344-361 - [c30]Feisal Hadi Masmali, Shah Jahan Miah, Nasimul Noman:
An Overview of the Internet of Things (IoT) Applications in the Health Sector in Saudi Arabi. DataCom 2022: 547-557 - [c29]Raymond Chiong, Nasimul Noman:
Playing a Multi-action, Adversarial Game in a Dynamic Environment. SSCI 2022: 612-618 - [i4]Chayan Banerjee, Zhiyong Chen, Nasimul Noman:
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States. CoRR abs/2210.00211 (2022) - 2021
- [c28]Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato:
Evolutionary Hyperparameter Optimisation for Sentence Classification. CEC 2021: 958-965 - [i3]Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani:
Optimal Actor-Critic Policy with Optimized Training Datasets. CoRR abs/2108.06911 (2021) - [i2]Chayan Banerjee, Zhiyong Chen, Nasimul Noman:
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience. CoRR abs/2109.11767 (2021) - [i1]Ziad Hmwd A. Almtiri, Shah Jahan Miah, Nasimul Noman:
Application of E-Commerce Technologies in accelerating the Success of SME Operation. CoRR abs/2110.10836 (2021) - 2020
- [j14]Mehdi Abedi, Raymond Chiong, Nasimul Noman, Rui Zhang:
A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines. Expert Syst. Appl. 157: 113348 (2020) - [j13]Nasimul Noman, Pablo Moscato:
Designing optimal combination therapy for personalised glioma treatment. Memetic Comput. 12(4): 317-329 (2020) - [c27]Seyedeh Zahra Mirjalili, Stephan K. Chalup, Seyedali Mirjalili, Nasimul Noman:
Robust Multi-Objective optimization using Conditional Pareto Optimal Dominance. CEC 2020: 1-8 - [c26]Mohamad Mobasher-Kashani, Nasimul Noman, Stephan K. Chalup:
Parallel LSTM Architectures for Non-Intrusive Load Monitoring in Smart Homes. SSCI 2020: 1272-1279 - [p3]Nasimul Noman:
A Shallow Introduction to Deep Neural Networks. Deep Neural Evolution 2020: 35-63 - [p2]Ali Bakhshi, Stephan K. Chalup, Nasimul Noman:
Fast Evolution of CNN Architecture for Image Classification. Deep Neural Evolution 2020: 209-229 - [e1]Hitoshi Iba, Nasimul Noman:
Deep Neural Evolution - Deep Learning with Evolutionary Computation. Natural Computing Series, Springer 2020, ISBN 978-981-15-3684-7 [contents]
2010 – 2019
- 2019
- [j12]Amer Abu Zaher, Regina Berretta, Nasimul Noman, Pablo Moscato:
An adaptive memetic algorithm for feature selection using proximity graphs. Comput. Intell. 35(1): 156-183 (2019) - [j11]Seyedeh Zahra Mirjalili, Seyedali Mirjalili, Hongyu Zhang, Stephan K. Chalup, Nasimul Noman:
Improving the reliability of implicit averaging methods using new conditional operators for robust optimization. Swarm Evol. Comput. 51 (2019) - [c25]Terry Truong, Pablo Moscato, Nasimul Noman:
A Computational Approach for Designing Combination Therapy in Combating Glioblastoma. CEC 2019: 127-134 - [c24]Ali Bakhshi, Nasimul Noman, Zhiyong Chen, Mohsen Zamani, Stephan K. Chalup:
Fast Automatic Optimisation of CNN Architectures for Image Classification Using Genetic Algorithm. CEC 2019: 1283-1290 - [c23]Seyedeh Zahra Mirjalili, Hongyu Zhang, Seyedali Mirjalili, Stephan K. Chalup, Nasimul Noman:
A Novel U-Shaped Transfer Function for Binary Particle Swarm Optimisation. SocProS (1) 2019: 241-259 - 2017
- [c22]Mehdi Abedi, Raymond Chiong, Nasimul Noman, Rui Zhang:
A hybrid particle swarm optimisation approach for energy-efficient single machine scheduling with cumulative deterioration and multiple maintenances. SSCI 2017: 1-8 - 2016
- [c21]Mohammad Nazmul Haque, Nasimul Noman, Regina Berretta, Pablo Moscato:
Optimising weights for heterogeneous ensemble of classifiers with differential evolution. CEC 2016: 233-240 - 2015
- [j10]Quang Huy Dinh, Nathanael Aubert, Nasimul Noman, Teruo Fujii, Yannick Rondelez, Hitoshi Iba:
An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems. IEEE Trans. Evol. Comput. 19(3): 374-386 (2015) - 2014
- [j9]Quang Huy Dinh, Nasimul Noman, Hitoshi Iba:
Oscillatory Synthetic biological System Construction using Interactive Evolutionary Computations. J. Comput. Sci. 10(12): 2640-2652 (2014) - 2013
- [j8]Nasimul Noman, Leon Palafox, Hitoshi Iba:
Evolving Genetic Networks for Synthetic Biology. New Gener. Comput. 31(2): 71-88 (2013) - [j7]Leon Palafox, Nasimul Noman, Hitoshi Iba:
Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization. IEEE Trans. Evol. Comput. 17(4): 577-587 (2013) - [c20]Leon Palafox, Nasimul Noman, Hitoshi Iba:
Extending Population Based Incremental Learning using Dirichlet Processes. IEEE Congress on Evolutionary Computation 2013: 1686-1693 - [c19]Dhammika S. Hettiarachchi, Nasimul Noman, Hitoshi Iba:
Messy Genetic Algorithm for evolving mathematical function evaluating variable length gene regulatory networks. IEEE Congress on Evolutionary Computation 2013: 2154-2161 - 2012
- [c18]Kazuki Komiya, Nasimul Noman, Hitoshi Iba:
The search for robust topologies of oscillatory gene regulatory networks by evolutionary computation. GECCO (Companion) 2012: 1419-1420 - [c17]Nasimul Noman, Leon Palafox, Hitoshi Iba:
On Model Selection Criteria in Reverse Engineering Gene Networks Using RNN Model. ICHIT (1) 2012: 155-164 - [c16]Chaogang He, Nasimul Noman, Hitoshi Iba:
An Improved Artificial Bee Colony Algorithm with Non-separable Operator. ICHIT (1) 2012: 203-210 - 2011
- [j6]A. K. M. Azad, Saima Shahid, Nasimul Noman, Hyunju Lee:
Prediction of plant promoters based on hexamers and random triplet pair analysis. Algorithms Mol. Biol. 6: 19 (2011) - [j5]Nasimul Noman, Hitoshi Iba:
? constrained differential evolution for economic dispatch with valve-point effect. Int. J. Bio Inspired Comput. 3(6): 346-357 (2011) - [c15]Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
An adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2011: 2229-2236 - [c14]Nasimul Noman, Hitoshi Iba:
Solving dynamic economic dispatch problems using cellular differential evolution. IEEE Congress on Evolutionary Computation 2011: 2633-2640 - [c13]Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
Differential evolution with self adaptive local search. GECCO 2011: 1099-1106 - [c12]Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba:
Polynomial selection scheme with dynamic parameter estimation in cellular genetic algorithm. GECCO 2011: 1171-1178 - [c11]Danushka Bollegala, Nasimul Noman, Hitoshi Iba:
RankDE: learning a ranking function for information retrieval using differential evolution. GECCO 2011: 1771-1778 - 2010
- [j4]Mitra Kabir, Nasimul Noman, Hitoshi Iba:
Reverse engineering gene regulatory network from microarray data using linear time-variant model. BMC Bioinform. 11(S-1): 56 (2010) - [j3]Ashis Kumer Biswas, Nasimul Noman, Abdur Rahman Sikder:
Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information. BMC Bioinform. 11: 273 (2010) - [c10]Nasimul Noman, Hitoshi Iba:
Cellular Differential Evolution Algorithm. Australasian Conference on Artificial Intelligence 2010: 293-302 - [c9]Hiroyuki Ishiwata, Nasimul Noman, Hitoshi Iba:
Emergence of Cooperation in a Bio-inspired Multi-agent System. Australasian Conference on Artificial Intelligence 2010: 364-374 - [c8]Nasimul Noman, Jiradej Vatanutanon, Hitoshi Iba:
Tuning selection pressure in differential evolution using local selection. NaBIC 2010: 66-71 - [c7]Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba:
Polynomial Selection: A new way to tune selective pressure. NaBIC 2010: 597-602
2000 – 2009
- 2008
- [j2]Nasimul Noman, Hitoshi Iba:
Accelerating Differential Evolution Using an Adaptive Local Search. IEEE Trans. Evol. Comput. 12(1): 107-125 (2008) - 2007
- [j1]Nasimul Noman, Hitoshi Iba:
Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics. IEEE ACM Trans. Comput. Biol. Bioinform. 4(4): 634-647 (2007) - [p1]Nasimul Noman, Hitoshi Iba:
Inferring Regulations in a Genomic Network from Gene Expression Profiles. Analysis of Biological Data: A Soft Computing Approach 2007: 205-229 - 2006
- [c6]Nasimul Noman, Hitoshi Iba:
On the Reconstruction of Gene Regulatory Networks from Noisy Expression Profiles. IEEE Congress on Evolutionary Computation 2006: 2543-2550 - [c5]Nasimul Noman, Hitoshi Iba:
Inference of genetic networks using S-system: information criteria for model selection. GECCO 2006: 263-270 - [c4]Nasimul Noman, Hitoshi Iba:
A new generation alternation model for differential evolution. GECCO 2006: 1265-1272 - 2005
- [c3]Nasimul Noman, Hitoshi Iba:
Inference of gene regulatory networks using s-system and differential evolution. GECCO 2005: 439-446 - [c2]Nasimul Noman, Hitoshi Iba:
Enhancing differential evolution performance with local search for high dimensional function optimization. GECCO 2005: 967-974 - 2004
- [c1]Nasimul Noman, Kouichi Okada, Naoki Hosoyama, Hitoshi Iba:
Use of clustering to improve the layout of gene network for visualization. IEEE Congress on Evolutionary Computation 2004: 2068-2075
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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