Tsukasa Ishigaki

According to our database1, Tsukasa Ishigaki authored at least 23 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2022
Facility location optimization with <i>p</i>MP modeling incorporating waiting time prediction function for emergency road services.
Comput. Ind. Eng., 2022

A practical facility location optimization with uncertain variables in emergency road services.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
PPNW: personalized pairwise novelty loss weighting for novel recommendation.
Knowl. Inf. Syst., 2021

X-2ch: Quad-Channel Collaborative Graph Network over Knowledge-Embedded Edges.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Deep Explanatory Polytomous Item-Response Model for Predicting Idiosyncratic Affective Ratings.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2019
Collaborative Multi-key Learning with an Anonymization Dataset for a Recommender System.
Proceedings of the International Joint Conference on Neural Networks, 2019

Matching Novelty While Training: Novel Recommendation Based on Personalized Pairwise Loss Weighting.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

D2D-TM: A Cycle VAE-GAN for Multi-Domain Collaborative Filtering.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Personalized market response analysis for a wide variety of products from sparse transaction data.
Int. J. Data Sci. Anal., 2018

Domain-to-Domain Translation Model for Recommender System.
CoRR, 2018

2017
Architecture of an FPGA accelerator for LDA-based inference.
Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017

2010
A Multivariable Detection Device Based on a Capacitive Microphone and Its Application to Security.
IEEE Trans. Instrum. Meas., 2010

Knowledge Extraction from a Computational Consumer Model Based on Questionnaire Data Observed in Retail Service.
Int. J. Syst. Serv. Oriented Eng., 2010

Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision Making.
Int. J. Organ. Collect. Intell., 2010

Computational Customer Behavior Modeling for Knowledge Management with an Automatic Categorization Using Retail Service's Datasets.
Proceedings of the IEEE 7th International Conference on e-Business Engineering, 2010

Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail Service.
Proceedings of the ICDM 2010, 2010

Customer-Item Category Based Knowledge Discovery Support System and Its Application to Department Store Service.
Proceedings of the 5th IEEE Asia-Pacific Services Computing Conference, 2010

2009
Dynamic spectrum classification by kernel classifiers with divergence-based kernels and its applications to acoustic signals.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Toward Computational Modeling of the Consumer Based on a Large-Scale Dataset Observed in a Real Service.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Knowledge extraction by probabilistic cognitive structure modeling using a Bayesian network for use by a retail service.
Proceedings of the MEDES '09: International ACM Conference on Management of Emergent Digital EcoSystems, 2009

2008
Dynamic spectrum classification by divergence-based kernel machines and its application to the detection of worn-out banknotes.
Proceedings of the IEEE International Conference on Acoustics, 2008

Parameter identification of a pressure regulator with a nonlinear structure using a particle filter based on the nonlinear state space model.
Proceedings of the 11th International Conference on Information Fusion, 2008

2006
Online Detection and Classification of Disasters by a Multiple-input/single-output Sensor for a Home Security System.
Proceedings of the International Joint Conference on Neural Networks, 2006


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