JOURNAL PAPERS

1桝井文人, 綱島督之, 杉尾俊之, 田添丈博, 椎野努,
英語長文における比較構文のモデル構築と解析, 電子情報通信学会論文誌 Vol.J78-D-II, No.12, pp.1849-1858 (1995.12)
Fumito Masui/Tadayuki Tsunashima/Toshiyuki Sugio/Takehiro Tazoe/Tsutomu Shiino
Analysis of Lengthy Sentences Using an English Comparative Structure Model, System and Computer in Japan, SCRIPTA TECHNICA, Inc., Vol.27, No.8, pp.40-48(1996.7)
2山本雅弘,小池孝治,塩田敦士,釣田英利,桝井文人,大塚晃弘,野上健治,小坂丈予: 草津白根山東麓の温泉の同位体地球化学, 温泉科学, Vol.47, pp.68–75 (1997.11)
3永田亮, 桝井文人, 河合敦夫, 椎野努: 英語読解力の自動評価手法 -リーディングスピードを用いた英文読解力の詳細な評価, コンピュータ&エデュケーション, Vol.12, pp.99-103(2002.5)
4桝井文人, 福本淳一, 椎野努, 河合敦夫: 確率的尺度を用いた比喩性検出手法, 自然言語処理, Vol.9, No.5, pp.71–92(2002.10)
5田添丈博, 椎野努, 桝井文人, 河合敦夫: “名詞Aのような名詞B”表現の比喩性判定モデル, 自然言語処理, Vol.10, No.2, pp.43–58(2003.4)
6永田亮, 井口達也, 桝井文人, 河合敦夫: 日本人英語学習者を対象にした英文難易度判定手法, 電子情報通信学会論文誌, Vol.J87-D-II, No.6, pp.1329-1338(2004.6)
Ryo Nagata, Takuya Iguchi, Fumito Masui and Atsuo Kawai: A Method for Rating English Texts by Reading Level for Japanese Learners of English, System and Computer in Japan, SCRIPTA TECHNICA, Inc., Vol.36, No.6, pp.1-13(2005)
7永田亮,井口達也,桝井文人,河合敦夫: 日本人英語学習者のための冠詞誤り検出, 電子情報通信学会論文誌, Vol.J87-D-I, No.1, pp.60-68(2004.1)
Ryo Nagata, Tatsuya Iguchi, Kenta Wakidera, Fumito Masui and Atsuo Kawai: Recognizing Article Errors in the Writing of Japanese Learners of English, System and Computer in Japan, SCRIPTA TECHNICA, Inc., Vol.36, No.7, pp.54–63(2005)
8永田亮,井口達也,脇寺健太,桝井文人,河合敦夫,井須尚紀: 前置詞情報を利用した冠詞誤り検出, 電子情報通信学会論文誌, Vol.J88-D-I, No.4, pp.873-881 (2005.4)
Ryo Nagata, Tasuya Iguchi, Kenta Wakidera, Fumito Masui, Atsuo Kawai and Naoki Isu: Recognizing article errors using prepositional information, Systems and Computers in Japan, SCRIPTA TECHNICA, Inc.,vol. 37, pp.17-26 (2006)
9Ryo Nagata, Tatsuya Iguchi, Fumito Masui, Atsuo Kawai and Naoki Isu: A Statistical Model Based on the Three Head Words for Detecting Article Errors, IEICE Transactions on Information and Systems., Vol.E88-D, No. 7, pp.1700-1706 (2005.7)
10永田亮, 桝井文人, 河合敦夫, 井須尚紀: 英語名詞の可算/不可算判定手法, 自然言語処理, Vol.12, No.4, pp.227-243 (2005.8)
11Tsuneaki Kato, Junichi, Fukumoto, Fumito Masui and Noriko Kando: Are Open-domain Question Answering Technologies Useful for Information Access Dialog?, ACM-TALIP, No.3, pp.243-262(2005.11)
12桝井文人, 福本淳一, 荒木健治: 比喩解釈を目的とするWorld Wide Webを利用した属性値の適合性判定とそのフィードバック, 電子情報通信学会論文誌, Vol.J89-D, No.4., pp. 860-870 (2006.4)
13永田亮, 若菜祟宏, 河合敦夫, 森広浩一郎, 桝井文人, 井須尚紀: 可算/不可算の判定に基づいた英文の誤り検出, 電子情報通信学会論文誌,Vol.J89-D, No.8.,(2006.8)
14森本明宏, 奥村友裕, 日高教孝, 朴丹, 荒木祐介, 桝井文人, 河合敦夫, 井須尚紀: TV視聴時の車酔い低減対策, 第5回FIT2006情報科学技術レターズ, vol.5, pp.323-326,LK-018 (2006.9)
15今岡裕貴, 桝井文人, 河合敦夫, 井須尚紀: 相対表現を利用した新聞記事からの動向情報の抽出, 知能と情報, Vol.18, No.5, pp.735–744(2006.10)
16加藤恒昭,福本淳一,桝井文人,神門典子: 情報アクセス対話のための質問応答技術評価タスク, 自然言語処理, Vol.15 No.3, pp.53–75 (2008.7)
17田中伸一,桝井文人,中山慎司,河合敦夫,井須尚紀: 日報情報中の知識を利用した自動演習システムの構築, 設備管理学会誌, Vol.21., No.2,pp.60-66 (2009.9)
18Michal Ptaszynski, Pawel Dybala, Tatsuaki Matsuba, Fumito Masui, Rafal Rzepka, Kenji Araki, Yoshio Momouchi: In the Service of Online Order: Tackling Cyber-Bullying with Machine Learning and Affect Analysis, International Journal of Computational Linguistics Research, Volume 1, Issue 3, pp. 135-154 (2010.9)
19Yasunari MAEDA, Fumito MASUI, Hideki YOSHIDA and Masakiyo SUZUKI: A Note on an Approximate Learning Algorithm with Limited Parameters for Language Models, International Journal of Computer Science and Network Security, Vol.10, No.11, pp. 121-124 (2010.11)
20桝井文人,Rafal Rzepka,木村泰知,福本淳一,荒木健治:WWW活用による比喩的素描手法, 知能と情報,Vol.22,No.6,pp.707-719 (2010.12)
21Yasunari Maeda, Fumito Masui, Masakiyo Suzuki: A note on estimation of states in HMM with unknown parameters, International Journal of Computer Science and Network Security, Vol.11, No.4, pp.63-67 (2011.04)
22前田康成, 桝井文人, 吉田秀樹, 鈴木正清: メタボ対策料理レシピ発想支援方法に関する一考察, バイオメディカル・ファジィ・システム学会誌, Vol.13,No.1, pp.81-86 (2011.03)
23前田康成, 桝井文人, 鈴木正清: 特定栄養素を調整する新規料理レシピ発想支援方法に関する一考察, 電気学会論文誌C, Vol.131, No.9, pp.1654-1655 (2011.09)
24Yasunari Maeda, Fumitaro Goto, Hiroshi Masui, Fumito Masui, Masakiyo Suzuki: The Bayesian Optimal Algorithm for Query Refinement in Information Retrieval, International Journal of Computer Science and Network Security, Vol.11, No.10, pp.91-95 (2011.10)
25Ippei Tomoda, Fumitaro Goto, Hiroshi Masui, Fumito Masui, Masakiyo Suzuki, Yasunari Maeda: A Note on Supporting Method for Making Recipe Using Local Foods with Constraints, International Journal of Computer Science and Network Security, Vol.11, No.11, pp.49-52 (2011.11)
26前田康成, 桝井文人, 鈴木正清: パラメータが未知のマルコフ決定過程を用いた個人融資限度額の設定, 電気学会論文誌C, Vol.132, No.1, pp.68-69 (2012.01)
27前田康成, 後藤文太朗, 升井洋志, 桝井文人, 鈴木正清: マルコフ決定過程のロールプレイングゲームへの適用, 情報処理学会論文誌, Vol.53, No.6, pp.1608-1616 (2012.06)
28前田康成, 後藤文太朗, 升井洋志, 桝井文人, 鈴木正清: 収益を考慮した保全への状態が未知のマルコフ決定過程の適用, 電子情報通信学会論文誌D, Vol.J95-D, No.9, pp.1802-1805 (2012.09)
29前田康成, 後藤文太朗, 升井洋志, 桝井文人, 鈴木正清: パラメータ未知のマルコフ決定過程の保全への適用, 電気学会論文誌C, Vol.132, No.10, pp.1719-1720 (2012.10)
30前田康成,後藤文太朗,升井洋志,桝井文人,鈴木正清: 食材の代替を考慮した食材購入支援方法に関する一考察, 電子情報通信学会論文誌.D, Vol.96, No.4, pp.1071-1074 (2013.04)
31友田一平, 高畠遼介, 米澤一樹, 渡邉かおり, 後藤文太朗, 升井洋志, 桝井文人, 鈴木正清, 前田康成: エゾ鹿肉の観光資源化と料理レシピ発想支援に関する一考察, 観光情報学会誌, Vol.9, No.1, pp.39-54 (2013.05)
32前田康成, 後藤文太朗, 升井洋志, 桝井文人, 鈴木正清, 松嶋敏泰: マルコフ決定過程で表現されたロールプレイングゲームにおける攻略法の能動学習, バイオメディカル・ファジィ・システム学会誌, Vol.15, No.1, pp.69-81 (2013.06)
33前田康成, 後藤文太朗, 升井洋志, 桝井文人, 鈴木正清, 松嶋敏泰: ノンプレイヤキャラクタを伴うロールプレイングゲームの攻略法に関する一考察, 電子情報通信学会論文誌A, Vol.J96-A, No.8, pp.572-581 (2013.08)
34Yasunari Maeda, Fumito Masui, Hideki Yoshida, Masakiyo Suzuki: A Note on Supporting Method for Making Recipe for a Measure against Metabolic Syndrome, International Journal of Biomedical Soft Computing and Human Sciences, Vol.18, No.2, pp.41-47 (2013.09)
35Ryosuke Yamanishi, Junichi Fukumoto, Fumito Masui: Semantical-coordinate Terms Detection from Hierarchical Knowledge Using Web Snippets, Procedia Computer Science, Elsevier, Volume 22, pp.1276-1284 (2013.10)
36Ryosuke Yamanishi, Junichi Fukumoto, and Fumito Masui: Detection of Affectively Comparable Term Using Hierarchical Knowledge and Blog Snippets, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.18 No.2, pp.166-174 (2014.06)
37前田康成, 後藤文太朗, 升井洋志, 桝井文人, 亀丸俊一, 鈴木正清: 旅行中の観光目的の変化のモデル化に関する一考察, バイオメディカル・ファジィ・システム学会誌, Vol.16, No.2, pp.29-36 (2014.11)
38前田康成, 後藤文太朗, 升井洋志, 桝井文人, 鈴木正清: 収益と経済状態を考慮した保全に関する一考察, バイオメディカル・ファジィ・システム学会誌, Vol.16, No.2, pp.59-63 (2014.10)
39前田康成, PTASZYNSKI Michal, 後藤文太朗, 升井洋志, 桝井文人, 亀丸俊一, 鈴木正清: 北海道北見市におけるペットツーリズムに関する一考察, 観光情報学会誌, Vol.11, No.1, pp.71-86, (2015.05)
40Michal Ptaszynski, Pawel Lempa, Fumito Masui: A Modular System for Support of Experiments in Text Classification, Technical Transactions of Mechanics, Cracow University of Technology, 2-M(7), pp.229-243 (2015.06) [Download]
41Yuka Nobuta, Fumito Masui, Michal Ptaszynski: Modeling Learning Motivation of Students Based on Analysis of Class Evaluation Questionnaire, Technical Transactions of Mechanics, 2-M(7), pp.193-201 (2015.06)
42Yoko NAKAJIMA, Michal PTASZYNSKI, Hirotoshi HONMA, Fumito MASUI: A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling, IEICE Transactions, Vol.E99-D,No.2, pp.514-524 (2016.02) (Impact factor 0.213)
43Fumito Masui, Kohsuke Hirata, Hiromu Otani, Hitoshi Yanagi, and Michal Ptaszynski: Informatics to Support Tactics and Strategies in Curling, International Journal of Automation Technology, Vol.10, No.2, pp.244-252 (2016.03)
44Michal Ptaszynski, Fumito Masui, Taisei Nitta, Suzuha Hatakeyama, Yasutomo Kimura, Rafal Rzepka, Kenji Araki, Sustainable cyberbullying detection with category-maximized relevance of harmful phrases and double-filtered automatic optimization, International Journal of Child-Computer Interaction (IJCCI), Vol.21, No.7, pp.15-30 (2016.05)
45Suzuha Hatakeyama, Fumito Masui, Michal Ptaszynski, Kazuhide Yamamoto, Statistical Analysis of Automatic Seed Word Acquisition to Improve Harmful Expression Extraction in Cyberbullying Detection, International Journal of Engineering and Technology Innovation, Vol.6, No.2, pp.165–172 (2016.06)
46Yoko Nakajima, Michal Ptaszynski, Hirotoshi Homma, Fumito Masui, Automatic extraction of future references from news using morphosemantic patterns with application to future trend prediction, AI Matters: A Newsletter of ACM SIGAI, vol.2 Issue 4, pp.13-15 (2016.08) [Download]
47Michal Ptaszynski, Fumito Masui, Rafal Rzepka, Kenji Araki: Subjective? Emotional? Emotive?: Language Combinatorics based Automatic Detection of Emotionally Loaded Sentences, Linguistics and Literature Studies, Vol. 5, No. 1, pp. 36-50, 2017
48Michal Ptaszynski, Pawel Dybala, Rafal Rzepka, Kenji Araki, Fumito Masui: ML-Ask: Open Source Affect Analysis Software for Textual Input in Japanese, Journal of open research software, Journal of Open Research Software. 5(1), p.16. DOI: http://doi.org/10.5334/jors.149 (2017.07)
49Michal Ptaszynski, Fumito Masui: Experiments with Language Combinatorics in Text Classification: Lessons Learned and Future Implication, Technical Transactions, vol.pp.183-197 (2017.11) DOI: 10.4467/2353737XCT.17.200.7429
50Pawel Lempa, Michal Ptaszynski, Fumito Masui: “The use of Genetic Algorithm to optimize Quantitative Learner’s Motivation Model, Technical Transactions, vol.4, pp.189-194 (2018.01)
51Michal Ptaszynski, Fumito Masui, Yoko Nakajima, Yasutomo Kimura, Rafal Rzepka, Kenji Araki: A Method for Detecting Harmful Entries on Informal School Websites Using Morphosemantic Patterns, the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), vol.13, No.2, pp.1189-1201, 2017.12.
52Yoko Nakajima, Michal Ptaszynski, Hirotoshi Honma, Fumito Masui: Future Reference Sentence Extraction in Support of Future Event Prediction, International Journal of Computational Linguistics Research (IJCLR), Vol.9, No.1, pp.27-41 (2018.03)
53Ali Bakdur, Fumito Masui and Michal Ptaszynski: Big data analytics – towards the enrichment of content tourism for revitalization of Japanese rural area, MATEC Web of Conferences, Vol.169, DOI: https://doi.org/10.1051/matecconf/201816901008 (2018.05) e-ISSN: 2261-236X (IF=0.44)
54Michal Ptaszynski, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki: Automatic Extraction of Harmful Sentence Patterns with Application in Cyberbullying Detection, Lecture Notes in Computer Science (LNCS), Vol.10930, pp. 349-362 (2018.06)
55Michal Ptaszynski, Fumito Masui, Yasutomo Kimura, Rafal Rzepka, Kenji Araki: Brute Force Sentence Pattern Extortion from Harmful Messages for Cyberbullying Detection, Journal of the Association for Information Systems (JAIS), Vol.20, Issue 8, Article 4 (2019.08) DOI: 10.17705/1jais.00562 (IF=2.839)
56Yoko Nakajima, Michal Ptaszynski, Fumito Masui, Hiroshi Honma, Future prediction with automatically extracted morphosemantic patterns, Cognitive Systems Research, Vol 59, Issue 1, pp. 37-62 (2020.01) DOI: https://doi.org/10.1016/j.cogsys.2019.09.004 (IF=1.902)
57Paweł Lempa, Edward Lisowski, Fumito Masui, Grzegorz Filo, Michal Ptaszynski, Mariusz Domagała, Quality Improvement of a Gear Transmission by Means of Genetic Algorithm, Quality Production Improvement (QPI), volume 1, Issue 1, pp.386-393 (2019.08) DOI: http://dx.doi.org/0.2478/cqpi-2019-0052
58Karol Nowakowski, Michal Ptaszynski, Fumito Masui, MiNgMatch—A Fast N-gram Model for Word Segmentation of the Ainu Language, Information, Volume 10, Issue 10 (2019.10) doi:10.3390/info10100317
59Karol Nowakowski, Michal Ptaszynski, Fumito Masui, Yoshio Momouchi, Improving Basic Natural Language Processing Tools for the Ainu Language, Information, Vol.10, Issue 11, 329 (2019.10) DOI: https://doi.org/10.3390/info10110329
60Jagna Nieuważny, Fumito Masui, Michal Ptaszynski, Rafal Rzepka, Karol Nowakowski, How religion and morality correlate in age of society 5.0: Statistical analysis of emotional and moral associations with Buddhist religious terms appearing on Japanese blogs, Cognitive Systems Research, Volume 59, Issue 1, Pages 329-344 (2020.01), DOI: https://doi.org/10.1016/j.cogsys.2019.09.026 (IF= 1.384)
61Michal Ptaszynski, Fumito Masui, Naoto Ishii, A method for automatic estimation of meaning ambiguity of emoticons based on their linguistic expressibility, Cognitive Systems Research, Volume 59, Issue 1, Pages 103-113 (2020.01), DOI: https://doi.org/10.1016/j.cogsys.2020.01.026 (IF=1.384)
62桝井文人, 伊藤毅志, 松原仁, 竹川佳成, 山本雅人, 河村隆, 柳等, カーリングの競技支援を目的とした工学的アプローチによる実証型研究, デジタルプラクティス招待論文, 44号, 情報処理, Vol.61, No.11 (2020.11)
63Jagna Nieuważny, Karol Nowakowski, Fumito Masui, Michal Ptaszynski, Rafal Rzepka, Kenji Araki.: Does change in ethical education influence core moral values? Towards history- and culture-aware morality model with application in automatic moral reasoning. Cognitive Systems Research, Volume 60, (20221 to appear) (IF=2.030)
64Ali Bakdur, Fumito Masui, Michal Ptaszynski, Predicting Increase in Demand for Public Buses in University Students Daily Life Needs: Case Study Based on a City in Japan, Sustainability 2021, 13(9), 5137 (2021.05) https://doi.org/10.3390/su13095137 (IF=2.576)
65Michal Ptaszynski, Fumito Masui, Yuuto Fukushima, Yuuto Oikawa, Hiroshi Hayakawa, Yasunori Miyamori, Kiyoshi Takahashi, Shunzo Kawajiri, Elections Are Not Disasters: Deep Learning for Information Triage on Twitter, Applied Sciences, applsci-1249174 (2021.05)
66Yasuhiro Yoshida, Fumito Mausi, Michal Ptaszynski, Development of a Dialogue-Based Guidance System for Narrow Area Navigation, Information Processing and Management, Volume 58, Issue 4 (2021.07) paper ID: 102542, (IF=6.222)
67Chia Zheng Lin, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski, Machine Learning and Feature Engineering-Based Study into Sarcasm and Irony Classification with Application to Cyberbullying Detection, Information Processing and Management, Volume 58, Issue 4 (2021.07) paper ID: 102600, (IF=6.222)
68Juuso Eronen, Michal Ptaszynski, Fumito Masui, Aleksander Smywiński-Pohl, Gniewosz Leliwa, Michal Wroczynski, Improving Classifier Training Efficiency for Automatic Cyberbullying Detection with Feature Density, Information Processing and Management, Vol. 58, Issue 5 (2021.09) paper ID: 102616, (IF=6.222)
69Jagna Nieuwazny, Karol Nowakowski, Michal Ptaszynski, Fumito Masui, Can You Fool AI by Doing a 180? – A Case Study on Authorship Analysis of Texts by Arata Osada, Information Processing and Management, Vol. 58, Issue 5, (2021) paper ID: 102644, (IF=6.222)
70Michal Ptaszynski, Fumito Masui, Yuuto Fukushima, Yuuto Oikawa, Hiroshi Hayakawa, Yasunori Miyamori, Kiyoshi Takahashi, Shunzo Kawajiri, Deep Learning for Information Triage on Twitter, Applied Sciences, Vol. 11, Issue 14 (2021) paper ID: 6340, (IF=2.679)