Query Evaluation of Deductive Database by MGTP and its Application to Data Mining. - Koichi Furukawa; Tomonobu Ozaki; Tomoko Murakami; Ken Ueno; Keiko Shimazu (DDLP, 1997)

On a Sufficient Condition for the Existence of Most Specific Hypothesis in Progol. - Koichi Furukawa; Tomoko Murakami; Ken Ueno; Tomonobu Ozaki; Keiko Shimazu (ILP, 1997)

Realizing Progol by Forward Reasoning. - Tomonobu Ozaki; Koichi Furukawa; Tomoko Murakami; Ken Ueno (ILP, 1997)

Motor Skill as Dynamic Constraint Satisfaction. - Ken Ueno; Koichi Furukawa; Michael Bain 001 (Electron. Trans. Artif. Intell., 2000)

Analysis of daily business reports based on sequential text mining method. - Shigeaki Sakurai; Ken Ueno (SMC (4), 2004)

Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining. - Ken Ueno; Xiaopeng Xi; Eamonn J. Keogh; Dah-Jye Lee (ICDM, 2006)

Optimized Web Services Security Performance with Differential Parsing. - Masayoshi Teraguchi; Satoshi Makino; Ken Ueno; Hyen-Vui Chung (ICSOC, 2006)

A CMOS Watchdog Sensor for Certifying the Quality of Various Perishables with a Wider Activation Energy. - Ken Ueno; Tetsuya Hirose; Tetsuya Asai; Yoshihito Amemiya (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006)

Floating millivolt reference for PTAT current generation in Subthreshold MOS LSIs. - Ken Ueno; Tetsuya Hirose; Tetsuya Asai; Yoshihito Amemiya (ISCAS, 2007)

CMOS Smart Sensor for Monitoring the Quality of Perishables. - Ken Ueno; Tetsuya Hirose; Tetsuya Asai; Yoshihito Amemiya (IEEE J. Solid State Circuits, 2007)

A 0.3μW, 7 ppm/°C CMOS Voltage reference circuit for on-chip process monitoring in analog circuits. - Ken Ueno; Tetsuya Hirose; Tetsuya Asai; Yoshihito Amemiya (ESSCIRC, 2008)

Risk prediction and risk factors identification from imbalanced data with RPMBGA+. - Topon Kumar Paul; Ken Ueno; Koichiro Iwata; Toshio Hayashi; Nobuyoshi Honda (GECCO (Companion), 2008)

Prioritizing Health Promotion Plans with k-Bayesian Network Classifier. - Ken Ueno; Toshio Hayashi; Koichiro Iwata; Nobuyoshi Honda; Youichi Kitahara; Topon Kumar Paul (ICMLA, 2008)

Genetic Algorithm Based Methods for Identification of Health Risk Factors Aimed at Preventing Metabolic Syndrome. - Topon Kumar Paul; Ken Ueno; Koichiro Iwata; Toshio Hayashi; Nobuyoshi Honda (SEAL, 2008)

Converting non-parametric distance-based classification to anytime algorithms. - Xiaopeng Xi; Ken Ueno; Eamonn J. Keogh; Dah-Jye Lee (Pattern Anal. Appl., 2008)

A 300 nW, 7 ppm/degreeC CMOS voltage reference circuit based on subthreshold MOSFETs. - Ken Ueno; Tetsuya Hirose; Tetsuya Asai; Yoshihito Amemiya (ASP-DAC, 2009)

A 30-MHz, 90-ppm/°C fully-integrated clock reference generator with frequency-locked loop. - Ken Ueno; Tetsuya Asai; Yoshihito Amemiya (ESSCIRC, 2009)

On-chip PVT Compensation Techniques for Low-voltage CMOS Digital LSIs. - Yusuke Tsugita; Ken Ueno; Tetsuya Asai; Yoshihito Amemiya; Tetsuya Hirose (ISCAS, 2009)

Low-power Clock Reference Circuit for Intermittent Operation of Subthreshold LSIs. - Ken Ueno; Tetsuya Asai; Yoshihito Amemiya (ISCAS, 2009)

Low-Voltage Process-Compensated VCO with On-Chip Process Monitoring and Body-Biasing Circuit Techniques. - Ken Ueno; Tetsuya Hirose; Tetsuya Asai; Yoshihito Amemiya (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

A 300 nW, 15 ppm°C, 20 ppm/V CMOS Voltage Reference Circuit Consisting of Subthreshold MOSFETs. - Ken Ueno; Tetsuya Hirose; Tetsuya Asai; Yoshihito Amemiya (IEEE J. Solid State Circuits, 2009)

Early Capacity Testing of an Enterprise Service Bus. - Ken Ueno; Michiaki Tatsubori (Int. J. Web Serv. Res., 2009)

High-Resistance Resistor Consisting of a Subthreshold CMOS Differential Pair. - Shin'ichi Asai; Ken Ueno; Tetsuya Asai; Yoshihito Amemiya (IEICE Trans. Electron., 2010)

An On-Chip PVT Compensation Technique with Current Monitoring Circuit for Low-Voltage CMOS Digital LSIs. - Yusuke Tsugita; Ken Ueno; Tetsuya Hirose; Tetsuya Asai; Yoshihito Amemiya (IEICE Trans. Electron., 2010)

A 1-muhboxW 600- hboxppm/circhboxC Current Reference Circuit Consisting of Subthreshold CMOS Circuits. - Ken Ueno; Tetsuya Hirose; Tetsuya Asai; Yoshihito Amemiya (IEEE Trans. Circuits Syst. II Express Briefs, 2010)

A proposal for improvement of genotyping performance for ethnically homogeneous population using DNA microarray. - Arika Fukushima; Topon Kumar Paul; Ryusei Shingaki; Takashi Koiso; Shinya Umeno; Ken Ueno (EMBC, 2015)

OPOSSAM: Online Prediction of Stream Data Using Self-adaptive Memory. - Akihiro Yamaguchi; Shigeru Maya; Tatsuya Inagi; Ken Ueno (IEEE BigData, 2018)

dLSTM: a new approach for anomaly detection using deep learning with delayed prediction. - Shigeru Maya; Ken Ueno; Takeichiro Nishikawa (Int. J. Data Sci. Anal., 2019)

Robust Incremental Logistic Regression for Detection of Anomaly Using Big Data. - Topon Kumar Paul; Ken Ueno (ICMLA, 2020)

RLTS: Robust Learning Time-Series Shapelets. - Akihiro Yamaguchi; Shigeru Maya; Ken Ueno (ECML/PKDD (1), 2020)

Lag-Aware Multivariate Time-Series Segmentation. - Shigeru Maya; Akihiro Yamaguchi; Kaneharu Nishino; Ken Ueno (SDM, 2020)

LTSpAUC: Learning Time-series Shapelets for Optimizing Partial AUC. - Akihiro Yamaguchi; Shigeru Maya; Kohei Maruchi; Ken Ueno (SDM, 2020)

LTSpAUC: Learning Time-Series Shapelets for Partial AUC Maximization. - Akihiro Yamaguchi; Shigeru Maya; Kohei Maruchi; Ken Ueno (Big Data, 2020)

Incremental Learning Vector Auto Regression for Forecasting with Edge Devices. - Venkata Pesala; Topon Kumar Paul; Ken Ueno; H. G. S. Praneeth Bugata; Ankit Kesarwani (ICMLA, 2021)

Forecasting of Reservoir Inflow by the Combination of Deep Learning and Conventional Machine Learning. - Topon Kumar Paul; Sreeharsha Raghavendra; Ken Ueno; Fang Ni; Hiromasa Shin; Kaneharu Nishino; Ryusei Shingaki (ICDM (Workshops), 2021)

Learning Time-series Shapelets via Supervised Feature Selection. - Akihiro Yamaguchi; Ken Ueno (SDM, 2021)

Learning Evolvable Time-series Shapelets. - Akihiro Yamaguchi; Ken Ueno; Hisashi Kashima (ICDE, 2022)

Learning Time-series Shapelets Enhancing Discriminability. - Akihiro Yamaguchi; Ken Ueno; Hisashi Kashima (SDM, 2022)

Time-series Shapelets with Learnable Lengths. - Akihiro Yamaguchi; Ken Ueno; Hisashi Kashima (CIKM, 2023)

Learning Counterfactual Explanations with Intervals for Time-series Classification. - Akihiro Yamaguchi; Ken Ueno; Ryusei Shingaki; Hisashi Kashima (CIKM, 2024)

GenAIOps for GenAI Model-Agility. - Ken Ueno; Makoto Kogo; Hiromi Kawatsu; Yohsuke Uchiumi; Michiaki Tatsubori (CoRR, 2025)

Learning Location-Guided Time-Series Shapelets. - Akihiro Yamaguchi; Ken Ueno; Hisashi Kashima (IEEE Trans. Knowl. Data Eng., 2025)

Overview of AI Map β- Overview of AI Technologies and AI Problems: for Beginners and Practitioners in AI Research. - Fujio Tsutsumi; Koji Morikawa; Ryutaro Ichise; Ken Ueno; Takeshi Yoshioka; Takao Tomono (New Gener. Comput., 2025)