@article{CTT100896617,
  author = {Tanoy Debnath and Takamichi Nakamoto},
  title = {Machine learning for Scent: A Method of Extracting Sensing Data for Desired Scent Impressions, Expert systems with applications},
  journal = {Scientific Reports},
  year = 2022,
}

@article{CTT100885861,
  author = {Tanoy Debnath and Takamichi Nakamoto},
  title = {Extracting Sensing Data for Desired Scent Impressions using mass spectra of odorant molecules},
  journal = {Scientific Reports},
  year = 2022,
}

@article{CTT100872071,
  author = {Tanoy Debnath and Takamichi Nakamoto},
  title = {Predicting individual perceptual scent impression from imbalanced dataset using mass spectrum of odorant molecules},
  journal = {Scientific Report},
  year = 2022,
}

@article{CTT100872072,
  author = {anoy Debnath and Dani Prasetyawan and Takamichi Nakamoto},
  title = {Predicting Odor Perception of Mixed Scent from Mass Spectrometry},
  journal = {Journal od electrochemical society},
  year = 2021,
}

@article{CTT100828169,
  author = {Tanoy Debnath and Takamichi Nakamoto},
  title = {Predicting human odor perception represented by continuous values from mass spectra of essential oils resembling chemical mixtures},
  journal = {PLOS ONE},
  year = 2020,
}

@inproceedings{CTT100872733,
  author = {Tanoy Debnath and Takamichi Nakamoto},
  title = {Inverse method to predict Mass Spectrum for binary Odor Descriptor using Machine Learning},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100854532,
  author = {T. Debnath and T. Nakamoto},
  title = {Predicting Odor Perception of Mixed Scent from Mass Spectrometry Using Machine Learning},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100811914,
  author = {T.Debnath and D.Prasetyawan and T.Nakamoto},
  title = {Prediction of Odor Descriptor Group of Essential Oils from Mass Spectra using Machine Learning},
  booktitle = {},
  year = 2019,
}

@inproceedings{CTT100800344,
  author = {Tanoy Debnath and Yuji Nozaki and Prasetyawan Dani and TAKAMICHI NAKAMOTO},
  title = {Rough classification of essential oil groups using mass spectra and multilayer perceptron},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100800319,
  author = {Yuji Nozaki and Prasetyawan Dani and Tanoy Debnath and TAKAMICHI NAKAMOTO},
  title = {Classification of Essential Oil Groups with Ensemble of Binary SVM Decision Trees},
  booktitle = {},
  year = 2018,
}

@misc{CTT100881461,
  author = {Tanoy Debnath},
  title = {Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules},
  year = 2022,
}

@misc{CTT100881460,
  author = {Tanoy Debnath},
  title = {Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules},
  year = 2022,
}

@misc{CTT100881463,
  author = {Tanoy Debnath},
  title = {Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules},
  year = 2022,
}

@misc{CTT100902400,
  author = {Tanoy Debnath},
  title = {Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules},
  year = 2022,
}



@phdthesis{CTT100881461,
  author = {Tanoy Debnath},
  title = {Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules},
  school = {Tokyo Institute of Technology},
  year = 2022,
}

@phdthesis{CTT100881460,
  author = {Tanoy Debnath},
  title = {Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules},
  school = {Tokyo Institute of Technology},
  year = 2022,
}

@phdthesis{CTT100881463,
  author = {Tanoy Debnath},
  title = {Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules},
  school = {Tokyo Institute of Technology},
  year = 2022,
}

@phdthesis{CTT100902400,
  author = {Tanoy Debnath},
  title = {Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules},
  school = {Tokyo Institute of Technology},
  year = 2022,
}