Keyword Spices: A New Method for Building Domain-Specific Web Search Engines. - Satoshi Oyama; Takashi Kokubo; Toru Ishida 001; Teruhiro Yamada; Yasuhiko Kitamura (IJCAI, 2001)

Cooperative Information Agents for Digital Cities. - Satoshi Oyama; Kaoru Hiramatsu; Toru Ishida 001 (Int. J. Cooperative Inf. Syst., 2001)

Analysis and Improvement of HITS Algorithm for Detecting Web Communitie. - Saeko Nomura; Satoshi Oyama; Tetsuo Hayamizu; Toru Ishida 001 (SAINT, 2002)

Context-Dependent Web Bookmarks and Their Usage as Queries. - Shinsuke Nakajima; Satoshi Oyama; Kazutoshi Sumiya; Katsumi Tanaka (WISE, 2002)

Exploiting Document Structures for Comparing and Exploring Topics on the Web. - Satoshi Oyama; Katsumi Tanaka (WWW (Posters), 2003)

Applying association rules to information navigation. - Satoshi Oyama; Toru Ishida 001 (Syst. Comput. Jpn., 2003)

Query Modification by Discovering Topics from Web Page Structures. - Satoshi Oyama; Katsumi Tanaka (APWeb, 2004)

Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers. - Satoshi Oyama; Christopher D. Manning (ECML, 2004)

Analysis and improvement of HITS algorithm for detecting Web communities. - Saeko Nomura; Satoshi Oyama; Tetsuo Hayamizu; Toru Ishida 001 (Syst. Comput. Jpn., 2004)

Domain-Specific Web Search with Keyword Spices. - Satoshi Oyama; Takashi Kokubo; Toru Ishida 001 (IEEE Trans. Knowl. Data Eng., 2004)

Extracting Personal Conceptual Structures from PC Documents and its Application to Web Search Personalization. - Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (ICDE Workshops, 2005)

Approximate Intensional Representation of Web Search Results. - Yasunori Matsuike; Satoshi Oyama; Katsumi Tanaka (WISE, 2005)

Context Matcher: Improved Web Search Using Query Term Context in Source Document and in Search Results. - Takahiro Kawashige; Satoshi Oyama; Hiroaki Ohshima; Katsumi Tanaka (APWeb, 2006)

Extracting Semantic Relationships Between Terms from PC Documents and Its Applications to Web Search Personalization. - Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (APWeb, 2006)

Improving Web Retrieval Precision Based on Semantic Relationships and Proximity of Query Keywords. - Chi Tian; Taro Tezuka; Satoshi Oyama; Keishi Tajima; Katsumi Tanaka (DEXA, 2006)

Sibling Page Search by Page Examples. - Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (ICADL, 2006)

Quality Estimation of Local Contents Based on PageRank Values of Web Pages. - Yutaka Kabutoya; Takayuki Yumoto; Satoshi Oyama; Keishi Tajima; Katsumi Tanaka (ICDE Workshops, 2006)

Web Search Improvement Based on Proximity and Density of Miltiple Keywords. - Chi Tian; Taro Tezuka; Satoshi Oyama; Keishi Tajima; Katsumi Tanaka (ICDE Workshops, 2006)

Learning a Distance Metric for Object Identification Without Human Supervision. - Satoshi Oyama; Katsumi Tanaka (PKDD, 2006)

Searching Coordinate Terms with Their Context from the Web. - Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (WISE, 2006)

ReCQ: Real-World Context-Aware Querying. - Shun Hattori; Taro Tezuka; Hiroaki Ohshima; Satoshi Oyama; Junpei Kawamoto; Keishi Tajima; Katsumi Tanaka (CONTEXT, 2007)

Trustworthiness Analysis of Web Search Results. - Satoshi Nakamura 002; Shinji Konishi; Adam Jatowt; Hiroaki Ohshima; Hiroyuki Kondo; Taro Tezuka; Satoshi Oyama; Katsumi Tanaka (ECDL, 2007)

Creating Personal Histories from the Web Using Namesake Disambiguation and Event Extraction. - Rui Kimura; Satoshi Oyama; Hiroyuki Toda; Katsumi Tanaka (ICWE, 2007)

Mining the Web for Hyponymy Relations Based on Property Inheritance. - Shun Hattori; Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (APWeb, 2008)

How Many Objects?: Determining the Number of Clusters with a Skewed Distribution. - Satoshi Oyama; Katsumi Tanaka (ECAI, 2008)

Assisting Pictogram Selection with Semantic Interpretation. - Heeryon Cho; Toru Ishida 001; Toshiyuki Takasaki; Satoshi Oyama (ESWC, 2008)

Query Transformation by Visualizing and Utilizing Information about What Users Are or Are Not Searching. - Taiga Yoshida; Satoshi Nakamura 002; Satoshi Oyama; Katsumi Tanaka (ICADL, 2008)

Vehicle Safety Communications: Progresses in Japan. - Satoshi Oyama (ICVES, 2008)

Identification of time-varying objects on the web. - Satoshi Oyama; Kenichi Shirasuna; Katsumi Tanaka (JCDL, 2008)

Status of ITS radiocommunications standards and their perspectives in Japan. - Satoshi Oyama (PIMRC, 2008)

Unsupervised Discovery of Coordinate Terms for Multiple Aspects from Search Engine Query Logs. - Masashi Yamaguchi; Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (Web Intelligence, 2008)

Can Social Tagging Improve Web Image Search?. - Makoto P. Kato; Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (WISE, 2008)

Assisting Pictogram Selection with Categorized Semantics. - Heeryon Cho; Toru Ishida 001; Satoshi Oyama; Rieko Inaba; Toshiyuki Takasaki (IEICE Trans. Inf. Syst., 2008)

Query by analogical example: relational search using web search engine indices. - Makoto P. Kato; Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (CIKM, 2009)

Web information credibility analysis by geographical social support. - Hiroaki Ohshima; Satoshi Oyama; Hiroyuki Kondo; Katsumi Tanaka (IUCS, 2009)

Supporting analysis of future-related information in news archives and the web. - Adam Jatowt; Kensuke Kanazawa; Satoshi Oyama; Katsumi Tanaka (JCDL, 2009)

On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. - Hisashi Kashima; Satoshi Oyama; Yoshihiro Yamanishi; Koji Tsuda (PAKDD, 2009)

Modeling and analyzing review information on the web focusing on credibility. - Takuya Kobayashi; Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (SAC, 2009)

Towards Improving Web Search: A Large-Scale Exploratory Study of Selected Aspects of User Search Behavior. - Hiroaki Ohshima; Adam Jatowt; Satoshi Oyama; Satoshi Nakamura 002; Katsumi Tanaka (WISE, 2009)

Seeing Past Rivals: Visualizing Evolution of Coordinate Terms over Time. - Hiroaki Ohshima; Adam Jatowt; Satoshi Oyama; Katsumi Tanaka (WISE, 2009)

Evaluating brand value on the web. - Takuya Kobayashi; Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (WICOW, 2009)

Search as if you were in your home town: geographic search by regional context and dynamic feature-space selection. - Makoto P. Kato; Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (CIKM, 2010)

Cloud as Virtual Databases: Bridging Private Databases and Web Services. - Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (DASFAA (1), 2010)

Query by example for geographic entity search with implicit negative feedback. - Makoto P. Kato; Satoshi Oyama; Hiroaki Ohshima; Katsumi Tanaka (ICUIMC, 2010)

Evaluating Truthfulness of Modifiers Attached to Web Entity Names. - Ryohei Takahashi; Satoshi Oyama; Hiroaki Ohshima; Katsumi Tanaka (WAIM, 2010)

Searching the Web for Alternative Answers to Questions on WebQA Sites. - Natsuki Takata; Hiroaki Ohshima; Satoshi Oyama; Katsumi Tanaka (WAIM, 2010)

Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. - Hisashi Kashima; Satoshi Oyama; Yoshihiro Yamanishi; Koji Tsuda (IEICE Trans. Inf. Syst., 2010)

Evaluating significance of historical entities based on tempo-spatial impacts analysis using Wikipedia link structure. - Yuku Takahashi; Hiroaki Ohshima; Mitsuo Yamamoto; Hirotoshi Iwasaki; Satoshi Oyama; Katsumi Tanaka (HT, 2011)

Cross-Temporal Link Prediction. - Satoshi Oyama; Kohei Hayashi; Hisashi Kashima (ICDM, 2011)

Extraction and Geographical Navigation of Important Historical Events in the Web. - Mitsuo Yamamoto; Yuku Takahashi; Hirotoshi Iwasaki; Satoshi Oyama; Hiroaki Ohshima; Katsumi Tanaka (W2GIS, 2011)

Learning a Robust Relevance Model for Search Using Kernel Methods. - Wei Wu 014; Jun Xu 001; Hang Li 001; Satoshi Oyama (J. Mach. Learn. Res., 2011)

Incremental Set Recommendation Based on Class Differences. - Yasuyuki Shirai; Koji Tsuruma; Yuko Sakurai; Satoshi Oyama; Shin-ichi Minato (PAKDD (1), 2012)

A robust energy artificial neuron based incremental self-organizing neural network with a dynamic structure. - Hao Liu; Haruhiko Sato; Satoshi Oyama; Masahito Kurihara (SMC, 2012)

Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. - Satoshi Oyama; Kohei Hayashi; Hisashi Kashima (IEICE Trans. Inf. Syst., 2012)

Similarity Joins on Item Set Collections Using Zero-Suppressed Binary Decision Diagrams. - Yasuyuki Shirai; Hiroyuki Takashima; Koji Tsuruma; Satoshi Oyama (DASFAA (1), 2013)

EM-Based Inference of True Labels Using Confidence Judgments. - Satoshi Oyama; Yukino Baba; Yuko Sakurai; Hisashi Kashima (HCOMP (Works in Progress / Demos), 2013)

Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores. - Satoshi Oyama; Yukino Baba; Yuko Sakurai; Hisashi Kashima (IJCAI, 2013)

An incremental self-organizing neural network based on enhanced competitive Hebbian learning. - Hao Liu; Masahito Kurihara; Satoshi Oyama; Haruhiko Sato (IJCNN, 2013)

Affect analysis in context of characters in narratives. - Michal Ptaszynski; Hiroaki Dokoshi; Satoshi Oyama; Rafal Rzepka; Masahito Kurihara; Kenji Araki; Yoshio Momouchi (Expert Syst. Appl., 2013)

Landmark FN-DBSCAN: An Efficient Density-Based Clustering Algorithm with Fuzzy Neighborhood. - Hao Liu; Satoshi Oyama; Masahito Kurihara; Haruhiko Sato (J. Adv. Comput. Intell. Intell. Informatics, 2013)

Learning an accurate entity resolution model from crowdsourced labels. - Jingjing Wang; Satoshi Oyama; Masahito Kurihara; Hisashi Kashima (ICUIMC, 2014)

Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying. - Yasuyuki Shirai; Hiroyuki Morita; Masakazu Nakamoto; Satoshi Oyama (ICDM, 2014)

Transfer learning based on the observation probability of each attribute. - Masahiro Suzuki; Haruhiko Sato; Satoshi Oyama; Masahito Kurihara (SMC, 2014)

Method sequence generation for multiple object states using dynamic symbolic execution. - Hiroki Takamatsu; Haruhiko Sato; Satoshi Oyama; Masahito Kurihara (SMC, 2014)

Monophonic sound source separation by non-negative sparse autoencoders. - Keiki Zen; Masahiro Suzuki; Haruhiko Sato; Satoshi Oyama; Masahito Kurihara (SMC, 2014)

Separate or joint? Estimation of multiple labels from crowdsourced annotations. - Lei Duan; Satoshi Oyama; Haruhiko Sato; Masahito Kurihara (Expert Syst. Appl., 2014)

A Survey on Large Scale Corpora and Emotion Corpora. - Michal Ptaszynski; Rafal Rzepka; Satoshi Oyama; Masahito Kurihara; Kenji Araki (Inf. Media Technol., 2014)

From one star to three stars: Upgrading legacy open data using crowdsourcing. - Satoshi Oyama; Yukino Baba; Ikki Ohmukai; Hiroaki Dokoshi; Hisashi Kashima (DSAA, 2015)

Flexible Reward Plans to Elicit Truthful Predictions in Crowdsourcing. - Yuko Sakurai; Satoshi Oyama; Masato Shinoda; Makoto Yokoo (HCOMP, 2015)

Crowdsourced Semantic Matching of Multi-Label Annotations. - Lei Duan; Satoshi Oyama; Masahito Kurihara; Haruhiko Sato (IJCAI, 2015)

Multi-Emotion Estimation in Narratives from Crowdsourced Annotations. - Lei Duan; Satoshi Oyama; Haruhiko Sato; Masahito Kurihara (JCDL, 2015)

Flexible Reward Plans for Crowdsourced Tasks. - Yuko Sakurai; Masato Shinoda; Satoshi Oyama; Makoto Yokoo (PRIMA, 2015)

Assessment of Tweet Credibility with LDA Features. - Jun Ito; Jing Song; Hiroyuki Toda; Yoshimasa Koike; Satoshi Oyama (WWW (Companion Volume), 2015)

Fine-tuning deep convolutional neural networks for distinguishing illustrations from photographs. - Gota Gando; Taiga Yamada; Haruhiko Sato; Satoshi Oyama; Masahito Kurihara (Expert Syst. Appl., 2016)

Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable. - Satoshi Oyama; Yukino Baba; Ikki Ohmukai; Hiroaki Dokoshi; Hisashi Kashima (Int. J. Data Sci. Anal., 2016)

Collaborative filtering and rating aggregation based on multicriteria rating. - Hiroki Morise; Satoshi Oyama; Masahito Kurihara (IEEE BigData, 2017)

A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry. - Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara; Kazune Furudo (PAKDD (1), 2017)

Crowdsourcing Mechanism Design. - Yuko Sakurai; Masafumi Matsuda; Masato Shinoda; Satoshi Oyama (PRIMA, 2017)

Tell cause from effect: models and evaluation. - Jing Song; Satoshi Oyama; Masahito Kurihara (Int. J. Data Sci. Anal., 2017)

Semi-Supervised Learning From Crowds Using Deep Generative Models. - Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara (AAAI, 2018)

Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. - Yukino Baba; Tomoumi Takase; Kyohei Atarashi; Satoshi Oyama; Hisashi Kashima (AAAI, 2018)

Toward Explainable Recommendations: Generating Review Text from Multicriteria Evaluation Data. - Takafumi Suzuki; Satoshi Oyama; Masahito Kurihara (IEEE BigData, 2018)

Aggregating Crowd Opinions Using Shapley Value Regression. - Yuko Sakurai; Jun Kawahara; Satoshi Oyama (MIWAI, 2018)

Effect of Viewing Directions on Deep Reinforcement Learning in 3D Virtual Environment Minecraft. - Taiju Matsui; Satoshi Oyama; Masahito Kurihara (PRIMA, 2018)

Implementation and Evaluation of Information Set Monte Carlo Tree Search for Pokémon. - Hiroyuki Ihara; Shunsuke Imai; Satoshi Oyama; Masahito Kurihara (SMC, 2018)

Longer Distance Weight Prediction for Faster Training of Neural Networks. - Masahito Kurihara; Satoshi Oyama; Tomoumi Takase (SMC, 2018)

A Framework for Crowd-Based Causal Analysis of Open Data. - Jing Song; Satoshi Oyama; Masahito Kurihara (SMC, 2018)

Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization. - Tomoumi Takase; Satoshi Oyama; Masahito Kurihara (Neural Comput., 2018)

Effective neural network training with adaptive learning rate based on training loss. - Tomoumi Takase; Satoshi Oyama; Masahito Kurihara (Neural Networks, 2018)

Random Feature Maps for the Itemset Kernel. - Kyohei Atarashi; Subhransu Maji; Satoshi Oyama (AAAI, 2019)

Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning. - Yuko Sakurai; Satoshi Oyama (Australasian Conference on Artificial Intelligence, 2019)

Identification of Possible Common Causes by Intrinsic Dimension Estimation. - Jing Song; Satoshi Oyama; Masahito Kurihara (BigComp, 2019)

Evaluation of Stratified Validation in Neural Network Training with Imbalanced Data. - Tomoumi Takase; Satoshi Oyama; Masahito Kurihara (BigComp, 2019)

Learning Relevant Molecular Representations via Self-Attentive Graph Neural Networks. - Shoma Kikuchi; Ichigaku Takigawa; Satoshi Oyama; Masahito Kurihara (IEEE BigData, 2019)

Explainable Recommendation Using Review Text and a Knowledge Graph. - Takafumi Suzuki; Satoshi Oyama; Masahito Kurihara (IEEE BigData, 2019)

User-Adaptive Preparation of Mathematical Puzzles Using Item Response Theory and Deep Learning. - Ryota Sekiya; Satoshi Oyama; Masahito Kurihara (IEA/AIE, 2019)

A Personalized Affect Response Model for Online News Articles. - Kyohei Atarashi; Akimi Moriyama; Satoshi Oyama; Masahito Kurihara (LaCATODA/BtG@IJCAI, 2019)

Deep False-Name-Proof Auction Mechanisms. - Yuko Sakurai; Satoshi Oyama; Mingyu Guo; Makoto Yokoo (PRIMA, 2019)

Bayesian probabilistic tensor factorization for recommendation and rating aggregation with multicriteria evaluation data. - Hiroki Morise; Satoshi Oyama; Masahito Kurihara (Expert Syst. Appl., 2019)

A Framework for Recommendation Algorithms Using Knowledge Graph and Random Walk Methods. - Takafumi Suzuki; Satoshi Oyama; Masahito Kurihara (IEEE BigData, 2020)

Generating Natural Counterfactual Visual Explanations. - Wenqi Zhao; Satoshi Oyama; Masahito Kurihara (IJCAI, 2020)

Adapting the Learning Rate of the Learning Rate in Hypergradient Descent. - Kazuma Itakura; Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara (SCIS/ISIS, 2020)

Unsupervised Feature Learning for Output Control of Generative Models. - Kazuki Toda; Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara (SCIS/ISIS, 2020)

Link Prediction Using Higher-Order Feature Combinations across Objects. - Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara (IEICE Trans. Inf. Syst., 2020)

Exploratory Causal Analysis of Open Data: Explanation Generation and Confounder Identification. - Jing Song; Satoshi Oyama; Masahito Kurihara (J. Adv. Comput. Intell. Intell. Informatics, 2020)

Adaptive Rotation Forests: Decision Tree Ensembles for Sequential Learning. - Yu Sugawara; Satoshi Oyama; Masahito Kurihara (SMC, 2021)

Factorization Machines with Regularization for Sparse Feature Interactions. - Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara (J. Mach. Learn. Res., 2021)

Sparse random feature maps for the item-multiset kernel. - Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara (Neural Networks, 2021)

Explainable Recommendation Using Knowledge Graphs and Random Walks. - Kaname Muto; Satoshi Oyama; Itsuki Noda (IEEE Big Data, 2022)

Sample Complexity of Learning Multi-value Opinions in Social Networks. - Masato Shinoda; Yuko Sakurai; Satoshi Oyama (PRIMA, 2022)

Coalitional Game Theoretic Federated Learning. - Masato Ota; Yuko Sakurai; Satoshi Oyama (WI/IAT, 2022)

Neural collaborative filtering with multicriteria evaluation data. - Hiroki Morise; Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara (Appl. Soft Comput., 2022)

Pairwise classification using quantum support vector machine with Kronecker kernel. - Taisei Nohara; Satoshi Oyama; Itsuki Noda (Quantum Mach. Intell., 2022)

Proposing a New Security Game with Reward and Penalty. - Riku Yoshioka; Yuko Sakurai; Satoshi Oyama; Masato Shinoda (WI/IAT, 2023)

Predicate Classification Using Optimal Transport Loss in Scene Graph Generation. - Sorachi Kurita; Satoshi Oyama; Itsuki Noda (CoRR, 2023)

Influence of AI's Uncertainty in the Dawid-Skene Aggregation for Human-AI Crowdsourcing. - Takumi Tamura; Hiroyoshi Ito; Satoshi Oyama; Atsuyuki Morishima (iConference (3), 2024)

Neural Double Auction Mechanism. - Tsuyoshi Suehara; Koh Takeuchi 001; Hisashi Kashima; Satoshi Oyama; Yuko Sakurai; Makoto Yokoo (CoRR, 2024)

Trustworthy human computation: a survey. - Hisashi Kashima; Satoshi Oyama; Hiromi Arai; Junichiro Mori (Artif. Intell. Rev., 2024)

Counterfactual Explanations of Time Varying Rankings (Student Abstract). - Ryusei Ohtani; Yuko Sakurai; Satoshi Oyama (AAAI, 2025)

An Efficient Point-of-Interest Placement Method Based on Betweenness Centrality. - Ryuta Shiraishi; Ryusei Ohtani; Yuko Sakurai; Satoshi Oyama (DEXA (2), 2025)

Dataset Construction Using Item Response Theory for Educational Machine Learning Competitions. - Takeaki Sakabe; Yuko Sakurai; Emiko Tsutsumi; Satoshi Oyama (IEEE Access, 2025)

Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social Networks. - Yu Yamashita; Yuko Sakurai; Satoshi Oyama; Masaki Onishi; Atsuyuki Morishima (IEEE Access, 2025)

Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration. - Kyohei Atarashi; Satoshi Oyama; Hiromi Arai; Hisashi Kashima (CoRR, 2025)