Constrained Function Optimization Using PSO with Polynomial Mutation. - Tapas Si; Nanda Dulal Jana; Jaya Sil (SEMCCO (1), 2011)

PSO-Tuned Control Parameter in Differential Evolution Algorithm. - Tapas Si; Nanda Dulal Jana; Jaya Sil (SEMCCO, 2012)

Particle swarm optimisation with differential mutation. - Tapas Si; Nanda Dulal Jana (Int. J. Intell. Syst. Technol. Appl., 2012)

Modified Artificial Bee Colony Algorithm using differential evolution and polynomial mutation for real-parameter optimization. - Aditya Narayan Hati; Rajkumar Darbar; Nanda Dulal Jana; Jaya Sil (ICACCI, 2013)

Particle Swarm Optimization with Lévy Flight and Adaptive Polynomial Mutation in gbest Particle. - Nanda Dulal Jana; Jaya Sil (ISI, 2013)

Real Parameter Optimization Using Levy Distributed Differential Evolution. - Nanda Dulal Jana; Aditya Narayan Hati; Rajkumar Darbar; Jaya Sil (PReMI, 2013)

Particle Swarm Optimization with Exploratory Move. - Nanda Dulal Jana; Jaya Sil (PReMI, 2013)

Hybrid Particle Swarm Optimization Technique for Protein Structure Prediction Using 2D Off-Lattice Model. - Nanda Dulal Jana; Jaya Sil (SEMCCO (2), 2013)

Particle Swarm Optimization with population adaptation. - Nanda Dulal Jana; Jaya Sil; Swagatam Das (IEEE Congress on Evolutionary Computation, 2014)

Improved Bees Algorithm for Protein Structure Prediction Using AB Off-Lattice Model. - Nanda Dulal Jana; Jaya Sil; Swagatam Das (MENDEL, 2015)

Levy distributed parameter control in differential evolution for numerical optimization. - Nanda Dulal Jana; Jaya Sil (Nat. Comput., 2016)

Protein Structure Optimization in 3D AB off-lattice model using Biogeography Based Optimization with Chaotic Mutation. - Nanda Dulal Jana; Jaya Sil; Swagatam Das (CODS, 2017)

An Improved Harmony Search Algorithm for Protein Structure Prediction Using 3D Off-Lattice Model. - Nanda Dulal Jana; Jaya Sil; Swagatam Das (ICHSA, 2017)

Selection of appropriate metaheuristic algorithms for protein structure prediction in AB off-lattice model: a perspective from fitness landscape analysis. - Nanda Dulal Jana; Jaya Sil; Swagatam Das (Inf. Sci., 2017)

Continuous fitness landscape analysis using a chaos-based random walk algorithm. - Nanda Dulal Jana; Jaya Sil; Swagatam Das (Soft Comput., 2018)

Accuracy Improvement of Neural Network Training using Particle Swarm Optimization and its Stability Analysis for Classification. - Arijit Nandi; Nanda Dulal Jana (CoRR, 2019)

Improving the Performance of Neural Networks with an Ensemble of Activation Functions. - Arijit Nandi; Nanda Dulal Jana; Swagatam Das (IJCNN, 2020)

An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers. - Rabel Guharoy; Nanda Dulal Jana; Suparna Biswas (CoRR, 2021)

Designing optimal convolutional neural network architecture using differential evolution algorithm. - Arjun Ghosh; Nanda Dulal Jana; Saurav Mallik; Zhongming Zhao (Patterns, 2022)

FID-RPRGAN-VC: Fréchet Inception Distance Loss based Region-wise Position Normalized Relativistic GAN for Non-Parallel Voice Conversion. - Sandipan Dhar; Md. Tousin Akhter; Padmanabha Banerjee; Nanda Dulal Jana; Swagatam Das (APSIPA ASC, 2023)

Voice Conversion Using Feature Specific Loss Function Based Self-Attentive Generative Adversarial Network. - Sandipan Dhar; Padmanabha Banerjee; Nanda Dulal Jana; Swagatam Das (ICASSP, 2023)

Melanoma Skin Cancer Detection Using Ensemble of Machine Learning Models Considering Deep Feature Embeddings. - Subhayu Ghosh; Sandipan Dhar; Raktim Yoddha; Shivam Kumar; Abhinav Kumar Thakur; Nanda Dulal Jana (ICMLDE, 2023)

Differential Evolution Algorithm Based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition. - Sandipan Dhar; Anuvab Sen; Aritra Bandyopadhyay; Nanda Dulal Jana; Arjun Ghosh; Zahra Sarayloo (IJCCI, 2023)

Region Normalized Capsule Network Based Generative Adversarial Network for Non-parallel Voice Conversion. - Md. Tousin Akhter; Padmanabha Banerjee; Sandipan Dhar; Subhayu Ghosh; Nanda Dulal Jana (SPECOM (1), 2023)

Two-Phase Evolutionary Convolutional Neural Network Architecture Search for Medical Image Classification. - Arjun Ghosh; Nanda Dulal Jana; Swagatam Das; Rammohan Mallipeddi (IEEE Access, 2023)

Detection of Epilepsy Seizure using Different Dimensionality Reduction Techniques and Machine Learning on Transform Domain. - Rabel Guharoy; Nanda Dulal Jana; Suparna Biswas (CoRR, 2023)

An Adaptive-Learning-Based Generative Adversarial Network for One-to-One Voice Conversion. - Sandipan Dhar; Nanda Dulal Jana; Swagatam Das (IEEE Trans. Artif. Intell., 2023)

Audio-Visual Speech Synthesis Leveraging Capsule-Enhanced Generative Adversarial Network. - Subhayu Ghosh; Nanda Dulal Jana (COMAD/CODS (December), 2024)

Performance Analysis of Machine Learning Algorithms for the Detection of Epilepsy. - Rabel Guharoy; Nanda Dulal Jana; Suparna Biswas; Suparna Karmakar (CVMI, 2024)

Correlations of Evaluation Metrics for Voice Conversion: An Experimental Analysis. - Arkapravo Nandi; Subhayu Ghosh; Md. Tousin Akhter; Sandipan Dhar; Nanda Dulal Jana (ICCCNT, 2024)

GNNAE-AVSS: Graph Neural Network Based Autoencoders for Audio-Visual Speech Synthesis. - Subhayu Ghosh; Nanda Dulal Jana (IJCNN, 2024)

Opposition-Based Chaotic Tunicate Swarm Algorithms for Global Optimization. - Tapas Si; Péricles B. C. Miranda; Utpal Nandi; Nanda Dulal Jana; Saurav Mallik; Ujjwal Maulik; Hong Qin 003 (IEEE Access, 2024)

CCLCap-AE-AVSS: Cycle consistency loss based capsule autoencoders for audio-visual speech synthesis. - Subhayu Ghosh; Nanda Dulal Jana; Tapas Si; Saurav Mallik; Mohd Asif Shah (J. Intell. Syst., 2024)

Audio-visual speech synthesis using vision transformer-enhanced autoencoders with ensemble of loss functions. - Subhayu Ghosh; Snehashis Sarkar; Sovan Ghosh; Frank Zalkow; Nanda Dulal Jana (Appl. Intell., 2024)

KANGAN-AVSS: Kolmogorov-Arnold Network Based Generative Adversarial Networks for Audio-Visual Speech Synthesis. - Subhayu Ghosh; Swapnil Saha; Nanda Dulal Jana (ICASSP, 2025)

SwinGAN-AVSS: Audio-Visual Speech Synthesis Leveraging Swin Transformer-Enhanced Generative Adversarial Networks. - Subhayu Ghosh; Swapnil Saha; Nanda Dulal Jana (ICASSP, 2025)

Designing optimal Vision Transformer architecture using differential evolution for tomato leaf disease classification. - Debtanu Ghosh; Subhayu Ghosh; Nanda Dulal Jana; Suparna Biswas; Rammohan Mallipeddi (Comput. Electron. Agric., 2025)

GLGAN-VC: A Guided Loss-Based Generative Adversarial Network for Many-to-Many Voice Conversion. - Sandipan Dhar; Nanda Dulal Jana; Swagatam Das (IEEE Trans. Neural Networks Learn. Syst., 2025)

QSHO: Quantum spotted hyena optimizer for global optimization. - Tapas Si; Péricles B. C. Miranda; Utpal Nandi; Nanda Dulal Jana; Ujjwal Maulik; Saurav Mallik; Mohd Asif Shah (Artif. Intell. Rev., 2025)

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion. - Sandipan Dhar; Md. Tousin Akhter; Nanda Dulal Jana; Swagatam Das (CoRR, 2025)

Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements. - Sandipan Dhar; Nanda Dulal Jana; Swagatam Das (CoRR, 2025)