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Dual graph convolutional neural network for predicting chemical networks

BMC bioinformatics, 2020-04, Vol.21 (Suppl 3), p.94-13, Article 94

2020

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Incorporating Worker Similarity for Label Aggregation in Crowdsourcing

Artificial Neural Networks and Machine Learning – ICANN 2018, p.596-606

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Synthetic accessibility assessment using auxiliary responses

Expert systems with applications, 2020-05, Vol.145, p.113106, Article 113106

2020

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Participation recommendation system for crowdsourcing contests

Expert systems with applications, 2016-10, Vol.58, p.174-183

2016

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Quality control of crowdsourced classification using hierarchical class structures

Expert systems with applications, 2016-10, Vol.58, p.155-163

2016

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Wisdom of crowds for synthetic accessibility evaluation

Journal of molecular graphics & modelling, 2018-03, Vol.80, p.217-223

2018

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DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences

Genes & Genetic Systems, 2020/02/01, Vol.95(1), pp.43-50

2020

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BayesGrad: Explaining Predictions of Graph Convolutional Networks

Neural Information Processing, p.81-92

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Quality Control for Crowdsourced POI Collection

Advances in Knowledge Discovery and Data Mining, p.255-267

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Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces

Expert systems with applications, 2014-05, Vol.41 (6), p.2678-2687

2014

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Preliminary Experiments to Examine the Stability of Bias-Aware Techniques

Advances in Bias and Fairness in Information Retrieval, 2021, Vol.1418, p.25-35

2021

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Crowdsourcing

Eizō Jōhō Media Gakkaishi, 2018, Vol.72 (7), p.558-560

Baba, Yukino

2018

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Statistical quality estimation for general crowdsourcing tasks

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013, p.554-562

2013

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Interdependence Model for Multi-label Classification

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series, p.55-68

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Crownn: Human-in-the-loop Network with Crowd-generated Inputs

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.7555-7559

2019

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Learning to Enumerate

Artificial Neural Networks and Machine Learning – ICANN 2016, p.453-460

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Humangan: Generative Adversarial Network With Human-Based Discriminator And Its Evaluation In Speech Perception Modeling

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.6239-6243

2020

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Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-vehicle Network

Journal of information processing (Tokyo), 2018, Vol.26, p.306-313

2018

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Large-scale Driver Identification Using Automobile Driving Data

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, p.3441-3446

2019

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Humanacgan: Conditional Generative Adversarial Network with Human-Based Auxiliary Classifier and its Evaluation in Phoneme Perception

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.6468-6472

2021

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Quality Control for Crowdsourced Multi-label Classification Using RAkEL

Neural Information Processing, p.64-73

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Active Learning Strategies for Hierarchical Labeling Microtasks

2019 IEEE International Conference on Big Data (Big Data), 2019, p.4647-4650

2019

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Crowdordering

Advances in Knowledge Discovery and Data Mining, p.336-347

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DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences

Genes & Genetic Systems, 2020, pp.19-00034

2020

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AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2018-04, Vol.32 (1)

2018

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Dual graph convolutional neural network for predicting chemical networks

Incorporating Worker Similarity for Label Aggregation in Crowdsourcing

Synthetic accessibility assessment using auxiliary responses

Participation recommendation system for crowdsourcing contests

Quality control of crowdsourced classification using hierarchical class structures

Wisdom of crowds for synthetic accessibility evaluation

DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences

BayesGrad: Explaining Predictions of Graph Convolutional Networks

Quality Control for Crowdsourced POI Collection

Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces

Preliminary Experiments to Examine the Stability of Bias-Aware Techniques

Crowdsourcing

Statistical quality estimation for general crowdsourcing tasks

Interdependence Model for Multi-label Classification

Crownn: Human-in-the-loop Network with Crowd-generated Inputs

Learning to Enumerate

Humangan: Generative Adversarial Network With Human-Based Discriminator And Its Evaluation In Speech Perception Modeling

Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-vehicle Network

Large-scale Driver Identification Using Automobile Driving Data

Humanacgan: Conditional Generative Adversarial Network with Human-Based Auxiliary Classifier and its Evaluation in Phoneme Perception

Quality Control for Crowdsourced Multi-label Classification Using RAkEL

Active Learning Strategies for Hierarchical Labeling Microtasks

Crowdordering

DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences

AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling

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