New Tomoya Hirade, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki, Yoshitaka Yamamoto, Masafumi Nishimura: “Visualization of the Proficiency Level of Assembly Work Using Inertial and Sound Sensors”, 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'24 Student Paper Award), 2024.3
New Hinano Sako and Yoshitaka Yamamoto: “Online Closed Episode Mining with Root-Order Decomposition”, IEEE BigData2023 Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management, pp. 1-6, 2023.12
New Yuto Shimizu, Yoshitaka Yamamoto, Masafumi Nishimura, Yuki Shiono, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki: “Understanding Human Work Behavior by Action Segmentation Model with Feature Selection”, IEEE CSDE2023, pp. 1-6, 2023.12
Thanapol Phungtua-eng, Yoshitaka Yamamoto, Shigeyuki Sako: “Elastic Data Binning for Transient Pattern Analysis in Time-Domain Astrophysics”, The 38th ACM/SIGAPP Symposium On Applied Computing, pp. 342-349, 2023.3
Keisuke Nakamura, Yoshitaka Yamamoto, Masafumi Nishimura, Yuki Shiono, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki: “Tackling Over-smoothing on Temporal Convolutional Networks for Operating Work Segmentation”, 2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'23 Student Paper Award), 2023.3
Yuto Shimizu, Yoshitaka Yamamoto, Masafumi Nishimura, Yuki Shiono, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki: “Temporal convolutional networks with feature selection for human manufacturing action analysis”, 2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 2023.3
Kento Yajima, Koji Iwanuma, Yoshitaka Yamamoto: “A bottom-up enumeration algorithm of minimal generators without support counting for compressing nagative association rules”, 12th International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 665-668, 2022.7
Thanapol Phungtua-eng, Yoshitaka Yamamoto, Shigeyuki Sako: “Dynamic binning for the unknown transient patterns analysis in astronomical time series”, IEEE BigData2021 poster, 2021.12
Koji Iwanuma, Kento Yajima, Yoshitaka Yamamoto: “Enumerating minimal generators from closed itemsets-toward effective compression of negative association rules”, IEEE CSDE2021, 2021.11
Thanapol Phungtua-eng, Yoshitaka Yamamoto, Shigeyuki Sako: “Detection for transient patterns with unpredictable duration using Chebyshev inequality and dynamic binning”, CANDAR'21 WANC International Workshop, 2021.11
Koji Iwanuma, Kento Yajima, Yoshitaka Yamamoto: “Mining Consistent, Non-Redundant and Minimal Negative Rues Based on Minimal Generators”, Proceedings of IEEE BigData2019 in poster, 2020.12
Thanapol Phungtua-eng, Yoshitaka Yamamoto, Shigeyuki Sako: “Transient pattern detection from streaming nature data”, Proceedings of CANDAR'20 WANC workshop, 2020.11
Koji Iwanuma, Takumi Nishina, Yoshitaka Yamamoto: “Accelerating an On-Line Approximation Mining for Large Closed Itemsets”, Proceedings of IEEE BigData2019 in poster, 2019.12
Koji Iwanuma, Takumi Nishina, Yoshitaka Yamamoto: “Frequent closed itemsets more
than size K and its on-line approximation mining”, 3rd International Conference on
Big Data, Cloud Computing, and Data Science Engineering (BCD 2018)
Koji Iwanuma, Yoshitaka Yamamoto, Shoshi Fukuda: “An on-line approximation algorithm
for mining frequent closed itemsets based on incremental intersection”,
Proceedings of the 19th International Conference on Extending Database Technology
(EDBT2016), pp. 704-705 (Bordeaux), 2016.3
Yoshitaka Yamamoto and Koji Iwanuma: “Online pattern mining for high-dimensional
data streams”, Proceedings of the 2015 IEEE International Conference on
Big Data (BigData2015), pp. 2880-2882 (Santa Clara), 2015.11
Adrien Rougny, Yoshitaka Yamamoto, Hidetomo Nabeshima, Gauvain Bourgne:
“Completing signaling networks by abductive reasoning with perturbation experiments”,
Proceedings of the 25th International Conference on Inductive Logic Programming
(ILP2015), pp. 1-6 (Kyoto), 2015.8
Yoshitaka Yamamoto, Koji Iwanuma, Shoshi Fukuda: “Resource-oriented approximation for
frequent itemset mining from brusty data streams”, Proceeding of 2014 ACM SIGMOD
International Conference on Management of Data
(SIGMOD’14), pp. 205-216 (Utah), 2014.6
Yoshitaka Yamamoto, Koji Iwanuma, Hidetomo Nabeshima: “Practically fast non-monotone
dualization based on monotone dualization”, Post-Proceedings of 1st International Workshop
on Learning and Nonmonotonic Reasoning (LNMR2013), CoRR, pp. 55-66
(La Coruna), 2013.10
Yoshitaka Yamamoto, Koji Iwanuma, Katsumi Inoue: “Non-monotone dualization via monotone dualization”,
Late Breaking Papers of the 22nd Int. Conf. on Inductive Logic Programming (ILP2012),
CEUR vol. 975, pp. 74-79 (Duvrovnik), 2012.12
Yoshitaka Yamamoto, Adrien Rougny, Hidetomo Nabeshima, Katsumi Inoue, Hisao Moriya, Christine Froidevaux, Koji Iwanuma:
“Completing SBGN-AF networks by logic-based hypothesis finding”, Proceedings of 1st International Conference
on Formal Methods in Macro-Biology (FMMB2014), Lecture Notes in Bioinformatics,
Vol. 8733, pp. 165-179 (New Caledonia), 2014.10
Adrien Rougny, Christine Froidevaux, Yoshitaka Yamamoto, Katsumi Inoue:
“Translating the SBGN-AF language into logics to analyze signaling networks”,
Post-Proceedings of the 1st International Workshop on Learning and
Nonmonotonic Reasoning (LNMR2013), CoRR, pp. 43-54 (La Coruna), 2013.10
Yoshitaka Yamamoto, Katsumi Inoue and Koji Iwanuma:
“From inverse entailment to inverse subsumption”, Proceedings of the 20th
International Conference on Inductive Logic Programming (ILP2010), pp.1-8
(Firenze), 2010.6 (The Best Student Paper Award)
Yoshitaka Yamamoto, Katsumi Inoue and Koji Iwanuma: “Hypothesis
enumeration by CF-induction”, Proceedings of the 6th Workshop on Learning
with Logics and Logics for Learning (LLLL2009), pp. 80-87 (Kyoto), 2009.6
Yoshitaka Yamamoto, Andrei Doncescu, Katsumi Inoue: “Abductive reasoning in cancer therapy”,
Proceedings of the 23rd International Conference on Advanced
Information Networking and Applications (AINA 2009), pp. 808-813 (Bradford), 2009.5
Yoshitaka Yamamoto, Katsumi Inoue and Andrei Doncescu: “Estimation of
possible reaction states in metabolic pathways using inductive logic
programming”, Proceedings of the 22nd International Conference on Advanced
Information Networking and Applications (AINA 2008), pp. 808-813 (Okinawa), 2008.3
Yoshitaka Yamamoto and Katusmi Inoue: “An efficient hypothesis finding system implemented
with deduction and dualization”, Proceeding of the 22nd workshop
on Logic Programming (WLP 2008), pp. 92-103 (Dresden), 2008.10
Yoshitaka Yamamoto, Oliver Ray and Katsumi Inoue: “Towards a logical
reconstruction of CF-Induction”, Proceedings of the 4th International Workshop
on Learning with Logics and Logics for Learning (LLLL 2007), pp. 18-24
(Miyazaki), 2007.6
Andrei Doncescu, Yoshitaka Yamamoto and Katsumi Inoue: “Biological
systems analysis using inductive logic programming”, Proceedings of the 21st
International Conference on Advanced Information Networking and Applications
(AINA), pp. 690-695 (Niagara), 2007.3
国際誌
New Thanapol Phungua-eng, Shigeyuki Sako, Yushi Nishikawa and Yoshitaka Yamamoto: “Elastic Data Binning: Time-Series Sketching for Time-Domain Astrophysics Analysis”,
ACM SIGAPP Applied Computing Review, Volume 23, pp. 5-22 (2023)
Yoshitaka Yamamoto, Yasuo Tabei and Koji Iwanuma:
“PARASOL: a hybrid approximation approach for scalable frequent itemset mining in streaming data“, Journal of Intelligent Information Systems (2020)
Yoshitaka Yamamoto, Koji Iwanuma and Katsumi Inoue:
“Heuristic inverse subsumption in full-clausal theories”,
Int. Conf. on Inductive Logic Programming (ILP2012) Revised Selected Papers,
Lecture Notes in Artificial Intelligence, Vol. 7842, pp. 241-256 (2013)
Yoshitaka Yamamoto, Katsumi Inoue and Koji Iwanuma:
“Comparison of upward and downward generalizations in CF-induction”,
Int. Conf. on Inductive Logic Programming (ILP2011) Revised Selected Papers,
Lecture Notes in Artificial Intelligence, Vol. 7207, pp. 373-388 (2012)
Yoshitaka Yamamoto, Katsumi Inoue and Koji Iwanuma:
“Inverse subsumption for complete explanatory induction”,
Journal of Machine Learning, Vol. 86(1), pp. 115-139 (2011)
Yoshitaka Yamamoto, Oliver Ray and Katsumi Inoue:
“Towards a logical reconstruction of CF-Induction”,
New Frontiers in Artificial Intelligence: JSAI 2007 Conference and Workshop
Revised Selected Papers, Lecture Notes in Artificial Intelligence,
Vol. 4914, pp. 395-404 (2008)
Andrei Doncescu, Katsumi Inoue and Yoshitaka Yamamoto:
“Knowledge based discovery in systems biology using CF-induction”,
New Trends in Applied Artificial Intelligence,
Lecture Notes in Artificial Intelligence, Vol. 4570, pp.330-343 (2007)
和文誌
New Keisuke Nakamura, Yoshitaka Yamamoto, Masafumi Nishimura, Yuki Shiono, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki:
“Regularizing Over-smoothing of Temporal Convolutional Networks for Action Segmentation on Human Assembly Operations”, 信号処理会誌, Vol.27, pp. 75-79 (2023)
西村雅史，山本泰生，青木崇浩，山口昌志:「ものづくり現場における組立作業の行動認識」,人工知能学会学会誌特集号解説記事, Vol.37, pp. 280-285 (2022)
岩沼宏治，山本泰生，福田翔士: 「ストリーム中の頻出飽和集合を抽出するオンライン型ε-近似アルゴリズムの完全性」,
人工知能学会論文誌, Vol.31, pp. 1-10,(2016)
岩沼宏治，佐生隼一, 黒岩健歩，山本泰生: 「負の相関ルール集合の極小生成子に基づく圧縮表現」,
情報処理学会論文誌, Vol.57, pp. 1845-1849 (2016)
井出典子,岩沼宏治,山本泰生:「負の相関ルールを抽出する高速トップダウン型アルゴリズム」,
人工知能学会論文誌, Vol.29, pp. 406-415 (2014)
受賞
NCSP'24 Student Paper Award, 2024.3
情報処理学会全国大会学生奨励賞, 2024.3
NCSP'23 Student Paper Award, 2023.3
情報処理学会全国大会学生奨励賞, 2023.3
情報処理学会全国大会学生奨励賞, 2022.3
静岡大学情報学シンポジウム2020優秀概要講演賞, 2020.12
2017年度人工知能学会研究会優秀賞, 2018.5
第14回 (2017年度) 日本データベース学会上林奨励賞, 2018.3
山梨科学アカデミー奨励賞, 2017.5
山梨大学優秀教員奨励制度特別表彰, 2016.6
2014年度人工知能学会研究会優秀賞, 2015.3
Best Student Paper Award in the 20th International Conference on Inductive Logic Programming (ILP2010), 2010.6
New 上山太郎, 山本泰生, 西村雅史, 塩野由紀, 白澤怜樹, 中野貴行, 青木崇浩:「少量データから組立標準作業を判別する対照学習法の検討」, 情報処理学会全国大会, 2024.3
New Thanapol Phungtua-eng, Yoshitaka Yamamoto: “Enhancing Seasonal Length Estimation for Time-Series Streaming
Data using Sliding Discrete Fourier Transform”, 第131回知識ベースシステム研究会, 2024.3
New Thanapol Phungtua-eng, Yoshitaka Yamamoto: “Online Seasonal Length Estimation: A Fast and Accurate Algorithm for Sea-sonality analysis”, The 10th International Symposium toward the Future of Advanced Researches in Shizuoka University (ISFAR-SU2024), 2024.3
New 酒匂日菜乃, 山本泰生:「系列予測タスクにおける飽和距離付き系列の可用性調査」, 第130回知識ベースシステム研究会, 2023.11
New 清水裕斗, 山本泰生, 西村雅史, 塩野由紀, 白澤怜樹, 中野貴行, 青木崇浩:「組立作業工程の行動分析のための特徴量選択を伴う行動分節化モデルの提案」, 第130回知識ベースシステム研究会, 2023.11
New 西川侑志, Thanapol Phungtua-eng, 山本泰生:「天文測光データにおける突発検知問題を対象としたウェーブレット変換とDeepAnT の可用性調査」, 第22回情報科学技術フォーラム, 2023.9
New 酒匂日菜乃, 山本泰生:「重み付き起点順序分解に基づく飽和系列マイニング」, 第22回情報科学技術フォーラム, 2023.9
New 清水裕斗, 山本泰生, 西村雅史, 塩野由紀, 白澤怜樹, 中野貴行, 青木崇浩:「特徴量選択付き時間畳み込みネットワークを用いた作業行動の分節化」, 第22回情報科学技術フォーラム, 2023.9
Thanapol Phungtua-eng, 西川侑志, 山本泰生:``Exploring the utilization of elastic data binning for time-series representation for Tomo-e light curve data'', 木曽シュミットシンポジウム2023, 2023.5
Thanapol Phungtua-eng, Yoshitaka Yamamoto: “Elastic data binning a novel sketching time-series data”, The 9th International Symposium toward the Future of Advanced Researches in Shizuoka University (ISFAR-SU2023), 2023.3
Yoshitaka Yamamoto:“Approximation and compression in streaming data
mining”, 23rd International Symposium on String Processing and Information Retrieval
(SPIRE2016), 2016.9 [Invited talk]
Yoshitaka Yamamoto: “A case study on network completion in yeast glucose
repression”, Presentation at The LRI-NII-Yamanshi Workshop on Analyzing
GPCRs with Inference in Molecular Networks (Orsay Cedex), 2014.10
Yoshitaka Yamamoto: “Completing SBGN based networks using meta-level
abduction and SOLAR”, Presentation at the 5th JFLI-NII-LRI Workshop on
Formal Approaches for Modeling and Analyzing Biological Networks (Orsay Cedex),
2013.10
Yoshitaka Yamamoto, Koji Iwanuma and Katsumi Inoue: “On subclasses
of non-monotone dualization equivalent to monotone dualization”,
Presentation at the CRIL-NII Collaborative Meeting on Reasoning about Dynamic Constraint Networks
(Lens), 2012.11
Yoshitaka Yamamoto, Haruka Sakamoto and Koji Iwanuma: “Logical
verification of biological networks with gene expression Data”, Presentation at the
Fourth JFLI-LRI-NII Workshop on Consequence Finding and Satisfiability Testing in
Distributed Environments and Systems Biology, (Orsay Cedex), 2012.11
Yoshitaka Yamamoto, Katusmi Inoue and Koji Iwanuma: “An incremental
way for finding characteristic hypotheses in CF-induction”,
Presentation at the Third Franco-Japanese Symposium on Knowledge Discovery in Systems
Biology (FJ’09) (Aix-en-Provence), 2009.7
Andrei Doncescu, Yoshitaka Yamamoto and Katsumi Inoue: “Extraction
of logical relations to model some aspects of breast cancer
therapy”, 第22回システムバイオロジー研究会 (東京), 2009.3
Yoshitaka Yamamoto and Katsumi Inoue: “An efficient hypothesis-finding
system implemented with deduction and dualization”, Presentation at One day
Workshop for Answer Set Programming and Abduction, 2008
Yoshitaka Yamamoto, Katsumi Inoue and Andrei Doncescu: “Inferring
inhibition and pathway rules using CF-induction”, Poster presentation at the
6th Asia Pacific Bioinformatics Conference (APBC 2008) (Kyoto), 2008.10
Yoshitaka Yamamoto, Katsumi Inoue and Andrei Doncescu: “Integration of
abduction and induction in biological networks using CF-induction”,
Presentation at the First Franco-Japanese Symposium on Knowledge Discovery
in Systems Biology (FJ'07),2007.9
