Sandeep Paul

Employment

• Dayalbagh Educational Institute Professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Hybrid evolutionary network architecture search (HyENAS) for convolution class of deep neural networks with applications
  Expert Systems 2023 DOI: 10.1111/exsy.12690
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• Application and Need Based Architecture Design of Deep Neural Networks
  International Journal of Pattern Recognition and Artificial Intelligence 2020 DOI: 10.1142/s021800142052014x
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• A review on advances in deep learning
  2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015 2016 DOI: 10.1109/WCI.2015.7495514
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• Parallel Interval Type-2 Subsethood Neural Fuzzy Inference System
  Expert Systems with Applications 2016 DOI: 10.1016/j.eswa.2016.04.033
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• Towards understanding basic movements in humans: Analysis of saccadic eye movements and hand EMG signals
  2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015 2016 DOI: 10.1109/WCI.2015.7495513
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• GPU based parallel cooperative particle swarm optimization using C-CUDA: A case study
  IEEE International Conference on Fuzzy Systems 2013 DOI: 10.1109/FUZZ-IEEE.2013.6622514
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• Novel hybrid compact genetic algorithm for simultaneous structure and parameter learning of neural networks
  2012 IEEE Congress on Evolutionary Computation, CEC 2012 2012 DOI: 10.1109/CEC.2012.6256598
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• Neuro-fuzzy inference system (ASuPFuNIS) model for intervention time series prediction of electricity prices
  Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2011 DOI: 10.1109/ICSMC.2011.6083985
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• A novel evolutionary TSK-subsethood model and its parallel implementation
  IEEE International Conference on Fuzzy Systems 2008 DOI: 10.1109/FUZZY.2008.4630626
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• Automatic simultaneous architecture and parameter search in fuzzy neural network learning using novel variable length crossover differential evolution
  IEEE International Conference on Fuzzy Systems 2008 DOI: 10.1109/FUZZY.2008.4630614
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