Research graph
References from VIANA: Character value-enhanced intensity assessment via domain-informed neural architecture. Local targets link to admitted publications; unresolved targets remain external evidence.
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The sense of smell: molecular basis of odorant recognition
10.1111/j.1469-185x.2007.00019.x · 2007 · External reference
The sense of smell: molecular basis of odorant recognition
10.1111/j.1469-185x.2007.00019.x · 2007 · External reference
From molecule to mind: an integrative perspective on odor intensity
10.1016/j.tins.2014.05.005 · 2014 · External reference
From molecule to mind: an integrative perspective on odor intensity
10.1016/j.tins.2014.05.005 · 2014 · External reference
Molecule generation and optimization for efficient fragrance creation
10.1021/acs.iecr.4c00650 · 2024 · External reference
Molecule generation and optimization for efficient fragrance creation
10.1021/acs.iecr.4c00650 · 2024 · External reference
10.26434/chemrxiv-2023-mtfrc
10.26434/chemrxiv-2023-mtfrc · External reference
10.26434/chemrxiv-2023-mtfrc
10.26434/chemrxiv-2023-mtfrc · External reference
Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis
10.1002/ffj.70039 · 2026 · External reference
Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis
10.1002/ffj.70039 · 2026 · External reference
An nlp-based perfume note estimation based on descriptive sentences
10.3390/app14209293 · 2024 · External reference
An nlp-based perfume note estimation based on descriptive sentences
10.3390/app14209293 · 2024 · External reference
10.1039/d6ra01805j
10.1039/d6ra01805j · External reference
10.1039/d6ra01805j
10.1039/d6ra01805j · External reference
On the prediction of critical heat flux using a physics-informed machine learning-aided framework
10.1016/j.applthermaleng.2019.114540 · 2020 · External reference
On the prediction of critical heat flux using a physics-informed machine learning-aided framework
10.1016/j.applthermaleng.2019.114540 · 2020 · External reference
Predicting the mechanical properties of zeolite frameworks by machine learning
10.1021/acs.chemmater.7b02532 · 2017 · External reference
Predicting the mechanical properties of zeolite frameworks by machine learning
10.1021/acs.chemmater.7b02532 · 2017 · External reference
Puffin: a path-unifying feedforward interfaced network for vapor pressure prediction
10.1016/j.ces.2023.119623 · 2024 · External reference
Puffin: a path-unifying feedforward interfaced network for vapor pressure prediction
10.1016/j.ces.2023.119623 · 2024 · External reference
10.1016/j.ceja.2026.101129
10.1016/j.ceja.2026.101129 · External reference
10.1016/j.ceja.2026.101129
10.1016/j.ceja.2026.101129 · External reference
Hybridgamma: a thermodynamically consistent framework for hybrid modelling of activity coefficients
10.1016/j.cej.2023.146104 · 2023 · External reference
Hybridgamma: a thermodynamically consistent framework for hybrid modelling of activity coefficients
10.1016/j.cej.2023.146104 · 2023 · External reference
Complementary codes for odor identity and intensity in olfactory cortex
10.7554/elife.22630 · 2017 · External reference
Complementary codes for odor identity and intensity in olfactory cortex
10.7554/elife.22630 · 2017 · External reference
Olfactory perception of chemically diverse molecules
10.1186/s12868-016-0287-2 · 2016 · External reference
Olfactory perception of chemically diverse molecules
10.1186/s12868-016-0287-2 · 2016 · External reference
Color enhances orthonasal olfactory intensity and reduces retronasal olfactory intensity
10.1093/chemse/bji057 · 2005 · External reference
Color enhances orthonasal olfactory intensity and reduces retronasal olfactory intensity
10.1093/chemse/bji057 · 2005 · External reference
Intensity invariant dynamics and odor-specific latencies in olfactory receptor neuron response
10.1523/jneurosci.0426-12.2013 · 2013 · External reference
Intensity invariant dynamics and odor-specific latencies in olfactory receptor neuron response
10.1523/jneurosci.0426-12.2013 · 2013 · External reference
Patterned response to odor in mammalian olfactory bulb: the influence of intensity
10.1152/jn.1986.56.3.572 · 1986 · External reference
Patterned response to odor in mammalian olfactory bulb: the influence of intensity
10.1152/jn.1986.56.3.572 · 1986 · External reference
Evaluation of olfactory intensity: comparative study of two methods
10.1111/j.1745-459x.2004.tb00150.x · 2004 · External reference
Evaluation of olfactory intensity: comparative study of two methods
10.1111/j.1745-459x.2004.tb00150.x · 2004 · External reference
A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning
10.1016/j.heliyon.2023.e20813 · 2023 · External reference
A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning
10.1016/j.heliyon.2023.e20813 · 2023 · External reference
Method for predicting odor intensity of perfumery raw materials using dose–response curve database
10.1021/acs.iecr.9b01225 · 2019 · External reference
Method for predicting odor intensity of perfumery raw materials using dose–response curve database
10.1021/acs.iecr.9b01225 · 2019 · External reference
Neural coding of perceived odor intensity
10.1523/eneuro.0083-15.2015 · 2015 · External reference
Neural coding of perceived odor intensity
10.1523/eneuro.0083-15.2015 · 2015 · External reference
Chemprop: a machine learning package for chemical property prediction
10.1021/acs.jcim.3c01250 · 2024 · External reference
Chemprop: a machine learning package for chemical property prediction
10.1021/acs.jcim.3c01250 · 2024 · External reference
A principal odor map unifies diverse tasks in olfactory perception
10.1126/science.ade4401 · 2023 · External reference
A principal odor map unifies diverse tasks in olfactory perception
10.1126/science.ade4401 · 2023 · External reference
Gender difference in ratings of odor intensity during olfactory training
10.1111/joss.12784 · 2022 · External reference
Gender difference in ratings of odor intensity during olfactory training
10.1111/joss.12784 · 2022 · External reference
10.1520/ds61-eb
10.1520/ds61-eb · External reference
10.1520/ds61-eb
10.1520/ds61-eb · External reference
Intensity versus identity coding in an olfactory system
10.1016/j.neuron.2003.08.011 · 2003 · External reference
Intensity versus identity coding in an olfactory system
10.1016/j.neuron.2003.08.011 · 2003 · External reference
Machine-learning-based olfactometer: prediction of odor perception from physicochemical features of odorant molecules
10.1021/acs.analchem.7b02389 · 2017 · External reference
Machine-learning-based olfactometer: prediction of odor perception from physicochemical features of odorant molecules
10.1021/acs.analchem.7b02389 · 2017 · External reference
Accurate prediction of personalized olfactory perception from large-scale chemoinformatic features
10.1093/gigascience/gix127 · 2018 · External reference
Accurate prediction of personalized olfactory perception from large-scale chemoinformatic features
10.1093/gigascience/gix127 · 2018 · External reference
Predicting human olfactory perception from chemical features of odor molecules
10.1126/science.aal2014 · 2017 · External reference
Predicting human olfactory perception from chemical features of odor molecules
10.1126/science.aal2014 · 2017 · External reference
Optuna: a next-generation hyperparameter optimization framework
2019 · External reference
Optuna: a next-generation hyperparameter optimization framework
2019 · External reference
Graph convolutional networks: a comprehensive review
10.1186/s40649-019-0069-y · 2019 · External reference
Graph convolutional networks: a comprehensive review
10.1186/s40649-019-0069-y · 2019 · External reference
Graph-based deep learning techniques for remote sensing applications: techniques, taxonomy, and applications—a comprehensive review
10.1016/j.cosrev.2023.100596 · 2023 · External reference
Graph-based deep learning techniques for remote sensing applications: techniques, taxonomy, and applications—a comprehensive review
10.1016/j.cosrev.2023.100596 · 2023 · External reference
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Paszke. Pytorch: an imperative style, highperformance deep learning library
2019 · External reference
Paszke. Pytorch: an imperative style, highperformance deep learning library
2019 · External reference
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’ Principal components analysis (pca)
10.1016/0098-3004(93)90090-r · 1993 · External reference
’ Principal components analysis (pca)
10.1016/0098-3004(93)90090-r · 1993 · External reference
