[1]. Estimating Intermediate Alcohol Intoxication States from Paired Facial Images
2026 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing / - （2026年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 共著者
[著者] Toshihiro Tsukagoshi, Masanori Matsuda, Kei Asada, Yoshitaka Yamamoto, Masafumi Nishimura
[2]. Towards On-device Physiological Data Monitoring Using the Time-series Range-Counting Summary
IEEE 8th International Conference on Activity and Behavior Computing (ABC'26) / - （2026年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Jun Kutsuzawa and Yoshitaka Yamamoto
[3]. Cross-silo human training in operational assembly: Integrating machine feedback for enhanced efficiency, Computers & Industrial Engineering
Computers & Industrial Engineering 213/ 1-14 （2025年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Kosuke Nakamura, Taro Ueyama, Masashi Nishimura, Takayuki Nakano, Yoshitaka Yamamoto [DOI]
[4]. TriLinear: Time Series Anomaly Detection Using Tricube Smoothing Decomposition and a Linear Forecasting Model
International Conference on Advanced Data Mining and Applications (ADMA'25), LNAI 16198/ 19-33 （2025年） [査読] 有 [国際共著論文] 該当する
[責任著者・共著者の別] 共著者
[著者] Thanapol Phungtua-eng, Yoshitaka Yamamoto [DOI]
[5]. Feature Analysis of Drunk States Using Biometric Sensing Data
2025 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing / 1-5 （2025年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Jun Kutsuzawa, Kazuhide Suga, Masafumi Nishimura, Masanori Matsuda, Kei Asada, Nakano Ishinabe, Yoshinori Kajihara, and Yoshitaka Yamamoto
[6]. Personalized federated learning for assessing characteristic client data
IEEE i-COSTE Workshop / 1-6 （2024年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Shunsuke Kawano, Yoshitaka Yamamotom, and Daisuke Kaji
[7]. Adaptive seasonal-trend decomposition for streaming time series data with transitions and fluctuations in seasonality
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases / 426-443 （2024年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Thanapol Phungtua-eng and Yoshitaka Yamamoto [DOI]
[8]. A fast season length estimation using sliding discrete fourier transform for time series streaming data
16th IIAI International Congress on Advanced Applied Informatics / 1-6 （2024年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Thanapol Phungtua-eng and Yoshitaka Yamamoto [DOI]
[9]. Visualization of the Proficiency Level of Assembly Work Using Inertial and Sound Sensors
2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing / - （2024年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 共著者
[著者] Tomoya Hirade, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki, Yoshitaka Yamamoto, Masafumi Nishimura
[10]. Understanding Human Work Behavior by Action Segmentation Model with Feature Selection
10th IEEE Asia-Pacific Conference on Computer Science and Data Engineering / - （2023年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yuto Shimizu, Yoshitaka Yamamoto, Masafumi Nishimura, Yuki Shiono, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki
[11]. Online Closed Episode Mining with Root-Order Decomposition
2023 IEEE International Conference on Big Data (8th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data) / 2683-2689 （2023年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Hinano Sako, Yoshitaka Yamamoto
[12]. Elastic Data Binning: Time-series Sketching for Time-domain Astrophysics Analysis
Journal of ACM Applied Computing Review 23/2 2-22 （2023年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Thanapol Phungtua-eng, Shigeyuki Sako, Yushi Nishikawa, Yoshitaka Yamamoto [DOI]
[13]. Regularizing Oversmoothing of Temporal Convolutional Networks for Action Segmentation into Human Assembly Operations
Journal of Signal Processing 27/4 75-79 （2023年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Keisuke Nakamura, Yoshitaka Yamamoto, Masafumi Nishimura, Yuki Shiono, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki
[14]. Elastic Data Binning for Transient Pattern Analysis in Time-Domain Astrophysics
The 38th ACM/SIGAPP Symposium On Applied Computing / 1-8 to appear （2023年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Thanapol Phungtua-eng, Yoshitaka Yamamoto, Shigeyuki Sako
[15]. Tackling Over-smoothing on Temporal Convolutional Networks for Operating Work Segmentation
2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing / 1-4 （2023年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Keisuke Nakamura, Yoshitaka Yamamoto, Masafumi Nishimura, Yuki Shiono, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki
[16]. Temporal convolutional networks with feature selection for human manufacturing action analysis
2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing / 1-4 （2023年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yuto Shimizu, Yoshitaka Yamamoto, Masafumi Nishimura, Yuki Shiono, Reiki Shirasawa, Takayuki Nakano, Takahiro Aoki
[17]. A bottom-up enumeration algorithm of minimal generators without support counting for compressing nagative association rules
IIAI International Conference on Advanced Applied Informatics / 1-4 10.1109/IIAIAAI55812.2022.00135 （2022年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 共著者
[著者] Kento Yajima, Koji Iwanuma, Yoshitaka Yamamoto
[18]. 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 / 1-6 （2022年） [査読] 無 [国際共著論文] 該当しない
[責任著者・共著者の別] 共著者
[著者] 西村 雅史，山本 泰生，青木 崇浩，山口 昌志
[19]. Dynamic Binning for the Unknown Transient Patterns Analysis in Astronomical Time Series
IEEE BigData2021 Poster / 5988-5990 （2021年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Thanapol Phungtua-eng, Yoshitaka Yamamoto, Shigeyuki Sako
[20]. Detection for Transient Patterns with Unpredictable Duration using Chebyshev Inequality and Dynamic Binning
Proceedings of CANDAR'21 WANC workshop / 1-5 （2021年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Thanapol Phungtua-eng, Yoshitaka Yamamoto, Shigeyuki Sako
[21]. Enumerating Minimal Generators from Closed Itemsets – Toward Effective Compression of Negative Association Rules
The 8th IEEE CSDE 2021, (The IEEE Asia-Pacific Conference on Computer Science and Data Engineering) / 1-6 （2021年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 共著者
[著者] Koji Iwanuma, Kento Yajima, Yoshitaka Yamamoto
[22]. Mining Consistent, non-redundant and minimal negative rules based on minimal generators
IEEE BigData2020 / - （2020年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 共著者
[著者] Koji Iwanuma, Kento Yajima, Yoshitaka Yamamoto
[23]. Transient pattern detection from streaming nature data
Proceedings of CANDAR'20 WANC workshop / - （2020年） [査読] 有 [国際共著論文] 該当する
[責任著者・共著者の別] 責任著者
[著者] Thanapol Phungtua-eng, Yoshitaka Yamamoto, Shigeyuki Sako
[24]. PARASOL: a hybrid approximation approach for scalable frequent itemset mining in streaming data
Journal of Intelligent Information Systems / - （2019年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yamamoto, Y., Tabei, Y. & Iwanuma [DOI]
[25]. Accelerating an On-Line Approximation Mining for Large Closed Itemsets
Proceedings of IEEE BigData2019 in poster / - （2019年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 共著者
[著者] Koji Iwanuma, Takumi Nishina, Yoshitaka Yamamoto
[26]. Approximate-Closed-Itemset Mining for Streaming Data Under Resource Constraint
arXiv / - （2019年） [査読] 無 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Yasuo Tabei, Koji Iwanuma [URL]
[27]. 高次知識を獲得するリソース指向型オンラインマイニング法の開発
日本オペレーションズ・リサーチ学会 62/ 246-252 （2017年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] 山本泰生 [URL]
[28]. Online pattern mining for high-dimensional data streams
Proceedings of the 2015 IEEE International Conference on Big Data (BigData2015) / 2880-2882 （2015年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto and Koji Iwanuma
[29]. Completing signaling networks by abductive reasoning with perturbation experiments
Proceedings of the 25th International Conference on Inductive Logic Programming (ILP2015) / 1-6 （2015年） [査読] 有 [国際共著論文] 該当する
[責任著者・共著者の別] 責任著者
[著者] Adrien Rougny, Yoshitaka Yamamoto, Hidetomo Nabeshima, Gauvain Bourgne
[30]. Completing SBGN-AF networks by logic-based hypothesis finding
Proceedings of the 1st International Conference on Formal Methods in Macro-Biology (FMMB2014) / 165-179 （2014年） [査読] 有 [国際共著論文] 該当する
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Adrien Rougny, Hidetomo Nabeshima, Katsumi Inoue, Hisao Moriya, Christine Froidevaux, Koji Iwanuma [URL]
[31]. Resource-oriented approximation for frequent itemset mining from brusty data streams
Proceeding of the 2014 ACM SIGMOD International Conference on Management of Data (SIGMOD’14) / 205-216 （2014年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Koji Iwanuma, Shoshi Fukuda [URL]
[32]. Translating the SBGN-AF language into logics to analyze signaling networks
Post-Proceedings of the 1st International Workshop on Learning and Nonmonotonic Reasoning (LNMR2013) / 43-54 （2013年） [査読] 有 [国際共著論文] 該当する
[責任著者・共著者の別] 共著者
[著者] Adrien Rougny, Christine Froidevaux, Yoshitaka Yamamoto, Katsumi Inoue [備考] 担当部門: 着想提案，論文全般
[33]. Practically fast non- monotone dualization based on monotone dualization
Post-Proceedings of the 1st International Workshop on Learning and Nonmonotonic Reasoning (LNMR2013) / 55-66 （2013年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Koji Iwanuma, Hidetomo Nabeshima
[34]. Comparison of upward and downward generalizations in CF-induction
Int. Conf. on Inductive Logic Programming (ILP2011) Revised Selected Papers, Lecture Notes in Artificial Intelligence 7207/ 241-256 （2013年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Katsumi Inoue and Koji Iwanuma
[35]. Heuristic inverse subsumption in full-clausal theories
Int. Conf. on Inductive Logic Programming (ILP2012) Revised Selected Papers, Lecture Notes in Artificial Intelligence 7842/ 241-256 （2013年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Koji Iwanuma and Katsumi Inoue
[36]. Non-monotone dualization via monotone dualization
Late Breaking Papers of the 22nd Int. Conf. on Inductive Logic Programming (ILP2012) / 74-79 （2012年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Koji Iwanuma, Katsumi Inoue
[37]. Inverse subsumption for complete explanatory induction
Journal of Machine Learning 86/1 115-139 （2011年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Katsumi Inoue and Koji Iwanuma [URL]
[38]. From inverse entailment to inverse subsumption
Proceedings of the 20th International Conference on Inductive Logic Programming (ILP2010) / 1-8 （2010年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Katsumi Inoue and Koji Iwanuma
[39]. Hypothesis enumeration by CF-induction
Proceedings of the 6th Workshop on Learning with Logics and Logics for Learning / 80-87 （2009年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Katsumi Inoue and Koji Iwanuma
[40]. Abductive reasoning in cancer therapy
Proceedings of the 23rd International Conference on Advanced Information Networking and Applications / 808-813 （2009年） [査読] 有 [国際共著論文] 該当する
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Andrei Doncescu, Katsumi Inoue
[41]. An efficient hypothesis finding system implemented with deduction and dualization
Proceeding of the 22nd workshop on Logic Programming (WLP 2008) / 92-193 （2008年） [査読] 有 [国際共著論文] 該当しない
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto and Katusmi Inoue
[42]. 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) / 808-813 （2008年） [査読] 有 [国際共著論文] 該当する
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Katsumi Inoue and Andrei Doncescu
[43]. Towards a logical reconstruction of CF-induction
New Frontiers in Artificial Intelligence (LNCS) 4914/ 395-404 （2008年） [査読] 有 [国際共著論文] 該当する
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Oliver Ray and Katsumi Inoue [備考] 担当部門: 着想提案，論文全般
[44]. Towards a logical reconstruction of CF-Induction
Proceedings of the 4th International Workshop on Learning with Logics and Logics for Learning (LLLL 2007) / 18-24 （2007年） [査読] 有 [国際共著論文] 該当する
[責任著者・共著者の別] 責任著者
[著者] Yoshitaka Yamamoto, Oliver Ray and Katsumi Inoue
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