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ORCIDKei Wakabayashi
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2020 – today
- 2024
[j7]Zikai Zhou, Kei Wakabayashi, Hiroyoshi Ito:
Phrase-Level Topic Modeling Based on Joint Embedding Space of Words, Phrases and Documents. J. Inf. Process. 32: 256-264 (2024)- 2023
- [j6]Muhammad Haseeb U. R. Rehman Khan
, Kei Wakabayashi:
Keyphrase-based Refinement Functions for Efficient Improvement on Document-Topic Association in Human-in-the-Loop Topic Models. J. Inf. Process. 31: 353-364 (2023) - [c36]Ayame Shimizu, Kei Wakabayashi, Masaki Matsubara, Hiroyoshi Ito, Atsuyuki Morishima:
Hybrid Crowd-AI Learning for Human-Interpretable Symbolic Rules in Image Classification. IIAI-AAI 2023: 263-270 - [c35]Rui Yang, Farnoosh Javar, Kei Wakabayashi, Johane Takeuchi:
Exploring the Impact of Syntactic Structure Information on Unknown Entity Recognition in Transformer-based Natural Language Understanding. IIAI-AAI 2023: 331-336 - [c34]Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi:
Reducing Human Effort in Keyphrase-Based Human-in-the-Loop Topic Models: A Method for Keyphrase Recommendations. iiWAS 2023: 233-248 - 2022
- [j5]Ayame Shimizu, Kei Wakabayashi:
Effect of Label Redundancy in Crowdsourcing for Training Machine Learning Models. J. Data Intell. 3(3): 301-315 (2022) - [c33]Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Atsuyuki Morishima:
HAEM: Obtaining Higher-Quality Classification Task Results with AI Workers. WebSci 2022: 118-128 - 2021
- [c32]Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima:
Human+AI Crowd Task Assignment Considering Result Quality Requirements. HCOMP 2021: 97-107 - [c31]Ayame Shimizu, Kei Wakabayashi:
Examining Effect of Label Redundancy for Machine Learning using Crowdsourcing. iiWAS 2021: 87-94 - [c30]Ryosuke Saito, Koga Kobayashi, Kei Wakabayashi:
Efficient Training Method for Phrase Extraction Models using Natural Language Explanations. iiWAS 2021: 288-295 - [c29]Fumimaro Odakura, Koga Kobayashi, Kei Wakabayashi:
Active Learning for Extracting Technical Terms Covering Multiword Phrases. iiWAS 2021: 311-318 - [c28]Kei Wakabayashi, Johane Takeuchi, Mikio Nakano:
Segmentation-Based Formulation of Slot Filling Task for Better Generative Modeling. IWSDS 2021: 17-31 - 2020
- [j4]Atsuyuki Morishima, Masaki Matsubara, Kei Wakabayashi, Nobutaka Suzuki, Hiroyoshi Ito:
Computational Division of Labor with Human and AI Workers. IEEE Data Eng. Bull. 43(3): 12-25 (2020) - [j3]Koga Kobayashi, Kei Wakabayashi:
Partial Annotation Scheme for Active Learning on Named Entity Recognition Tasks. J. Data Intell. 1(3): 319-332 (2020) - [c27]Hikaru Uchida, Masaki Matsubara, Kei Wakabayashi, Atsuyuki Morishima:
Human-in-the-loop Approach towards Dual Process AI Decisions. IEEE BigData 2020: 3096-3098 - [c26]Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima:
Batch Prioritization of Data Labeling Tasks for Training Classifiers. HCOMP 2020: 163-167 - [c25]Kei Wakabayashi, Daisuke Kotani, Yasuo Okabe:
Traffic-aware Access Control List Reconstruction. ICOIN 2020: 616-621 - [c24]Yixuan Wu, Kei Wakabayashi:
Effect of Semantic Content Generalization on Pointer Generator Network in Text Summarization. iiWAS 2020: 72-76 - [c23]Koga Kobayashi, Kei Wakabayashi:
Mitigating Effect of Dictionary Matching Errors in Distantly Supervised Named Entity Recognition. iiWAS 2020: 111-114 - [c22]Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima:
Quality-aware Dynamic Task Assignment in Human+AI Crowd. WWW (Companion Volume) 2020: 118-119
2010 – 2019
- 2019
- [c21]Makoto Hiramatsu, Kei Wakabayashi, Jun Harashima:
Named Entity Recognition by Character-Based Word Classification Using a Domain Specific Dictionary. CICLing (2) 2019: 38-48 - [c20]Kei Wakabayashi:
Silent HMMs: Generalized Representation of Hidden Semi-Markov Models and Hierarchical HMMs. FSMNLP 2019: 98-107 - [c19]Genkou Ou, Kei Wakabayashi, Tetsuji Satoh:
Searching Behavior Analysis of Online Shopping Based on Information Content of Query Words. IIAI-AAI 2019: 43-48 - [c18]Xinnan Chen, Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi:
Estimation Method of L2 Learners' Second Language Ability by using Features in Conversation. iiWAS 2019: 142-150 - [c17]Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi, Satoshi Fukuyama:
Events Insights Extraction from Twitter Using LDA and Day-Hashtag Pooling. iiWAS 2019: 240-244 - [c16]Koga Kobayashi, Kei Wakabayashi:
Named entity recognition using point prediction and active learning. iiWAS 2019: 287-293 - 2018
- [c15]Kei Wakabayashi:
Segmentation-based Unsupervised Phrase Detection. iiWAS 2018: 138-142 - [c14]Satoshi Fukuyama, Kei Wakabayashi:
Extracting time series variation of topic popularity in microblogs. iiWAS 2018: 365-369 - [c13]Makoto Hiramatsu, Kei Wakabayashi:
Encoder-Decoder Neural Networks for Taxonomy Classification. eCOM@SIGIR 2018 - 2017
- [j2]Shuhei Yamamoto, Kei Wakabayashi, Tetsuji Satoh, Yuri Nozaki, Noriko Kando:
Twitter user growth analysis based on diversities in posting activities. Int. J. Web Inf. Syst. 13(4): 370-386 (2017) - [c12]Yuto Hoshikawa, Kei Wakabayashi:
Automatic Extraction of Discussion based on Sentence Type Estimation. CSCW Companion 2017: 203-206 - [c11]Kento Nozawa, Kei Wakabayashi:
Scalable Algorithm for Probabilistic Overlapping Community Detection. SWM@WSDM 2017: 9-16 - 2016
- [j1]Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh:
Twitter user tagging method based on burst time series. Int. J. Web Inf. Syst. 12(3): 292-311 (2016) - [c10]Kei Wakabayashi, Johane Takeuchi, Kotaro Funakoshi, Mikio Nakano:
Nonparametric Bayesian Models for Spoken Language Understanding. EMNLP 2016: 2144-2152 - [c9]Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh:
Who are growth users?: analyzing and predicting intended Twitter user growth. iiWAS 2016: 64-71 - 2015
- [c8]Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh:
BUTE: bursty users tagging method estimated by time series data. iiWAS 2015: 20:1-20:9 - 2012
- [c7]Kei Wakabayashi, Takao Miura:
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models. NIPS 2012: 1502-1510 - 2010
- [c6]Kei Wakabayashi, Takao Miura:
Topology Estimation of Hierarchical Hidden Markov Models for Language Models. NLDB 2010: 129-139
2000 – 2009
- 2009
- [c5]Kei Wakabayashi, Takao Miura:
Data Stream Prediction Using Incremental Hidden Markov Models. DaWaK 2009: 63-74 - [c4]Ichiro Matsuda, Kei Wakabayashi, Yu Ikeda, Susumu Itoh:
A lossless re-encoding scheme for MPEG-1 video. EUSIPCO 2009: 1834-1838 - 2008
- [c3]Ichiro Matsuda, Yukio Nomoto, Kei Wakabayashi, Susumu Itoh:
Lossless re-encoding of JPEG images using block-adaptive intra prediction. EUSIPCO 2008: 1-5 - [c2]Kei Wakabayashi, Takao Miura:
Topics Identification Based on Event Sequence Using Co-occurrence Words. NLDB 2008: 219-225 - 2007
- [c1]Kei Wakabayashi, Takao Miura:
Identifying Event Sequences Using Hidden Markov Model. NLDB 2007: 84-95
Coauthor Index
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last updated on 2024-08-05 21:16 CEST by the dblp team
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