Goal and Plan Recognition via Parse Trees Using Prefix and Infix Probability Computation. - Ryosuke Kojima; Taisuke Sato (ILP, 2014)

Interactive interface to optimize sound source localization based on microphone array with coarse-to-fine tuning for humanoids. - Osamu Sugiyama; Ryosuke Kojima; Kazuhiro Nakadai (Humanoids, 2015)

Scene Understanding Based on Sound and Text Information for a Cooking Support Robot. - Ryosuke Kojima; Osamu Sugiyama; Kazuhiro Nakadai (IEA/AIE, 2015)

Interactive Interface to Optimize Sound Source Localization with HARK. - Osamu Sugiyama; Ryosuke Kojima; Kazuhiro Nakadai (IEA/AIE, 2015)

Audio-visual scene understanding utilizing text information for a cooking support robot. - Ryosuke Kojima; Osamu Sugiyama; Kazuhiro Nakadai (IROS, 2015)

Reduction of Computational Cost Using Two-Stage Deep Neural Network for Training for Denoising and Sound Source Identification. - Takayuki Morito; Osamu Sugiyama; Satoshi Uemura; Ryosuke Kojima; Kazuhiro Nakadai (IEA/AIE, 2016)

Semi-automatic bird song analysis by spatial-cue-based integration of sound source detection, localization, separation, and identification. - Ryosuke Kojima; Osamu Sugiyama; Reiji Suzuki; Kazuhiro Nakadai; Charles E. Taylor (IROS, 2016)

Partially Shared Deep Neural Network in sound source separation and identification using a UAV-embedded microphone array. - Takayuki Morito; Osamu Sugiyama; Ryosuke Kojima; Kazuhiro Nakadai (IROS, 2016)

Multimodal Scene Understanding Framework and Its Application to Cooking Recognition. - Ryosuke Kojima; Osamu Sugiyama; Kazuhiro Nakadai (Appl. Artif. Intell., 2016)

A Spatial-Cue-Based Probabilistic Model for Bird Song Scene Analysis. - Ryosuke Kojima; Osamu Sugiyama; Kotaro Hoshiba; Reiji Suzuki; Kazuhiro Nakadai (DSAA, 2017)

Development of microphone-array-embedded UAV for search and rescue task. - Kazuhiro Nakadai; Makoto Kumon; Hiroshi G. Okuno; Kotaro Hoshiba; Mizuho Wakabayashi; Kai Washizaki; Takahiro Ishiki; Daniel Gabriel; Yoshiaki Bando; Takayuki Morito; Ryosuke Kojima; Osamu Sugiyama (IROS, 2017)

Construction of Knowledge-Base for Clinical Interpretation of Genomic Variants. - Mayumi Kamada; Toshiaki Katayama; Shuichi Kawashima; Ryosuke Kojima; Masahiko Nakatsui; Yasushi Okuno (SWAT4LS, 2017)

Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. - Mizuho Nishio; Mitsuo Nishizawa; Osamu Sugiyama; Ryosuke Kojima; Masahiro Yakami; Tomohiro Kuroda; Kaori Togashi (CoRR, 2017)

Design and Assessment of Sound Source Localization System with a UAV-Embedded Microphone Array. - Kotaro Hoshiba; Osamu Sugiyama; Akihide Nagamine; Ryosuke Kojima; Makoto Kumon; Kazuhiro Nakadai (J. Robotics Mechatronics, 2017)

Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model. - Ryosuke Kojima; Osamu Sugiyama; Kotaro Hoshiba; Kazuhiro Nakadai; Reiji Suzuki; Charles E. Taylor (J. Robotics Mechatronics, 2017)

Acoustic Monitoring of the Great Reed Warbler Using Multiple Microphone Arrays and Robot Audition. - Shiho Matsubayashi; Reiji Suzuki; Fumiyuki Saito; Tatsuyoshi Murate; Tomohisa Masuda; Koichi Yamamoto; Ryosuke Kojima; Kazuhiro Nakadai; Hiroshi G. Okuno (J. Robotics Mechatronics, 2017)

Outdoor Sound Source Detection Using a Quadcopter with Microphone Array. - Takuma Ohata; Keisuke Nakamura; Akihide Nagamine; Takeshi Mizumoto; Takayuki Ishizaki; Ryosuke Kojima; Osamu Sugiyama; Kazuhiro Nakadai (J. Robotics Mechatronics, 2017)

Outdoor Acoustic Event Identification with DNN Using a Quadrotor-Embedded Microphone Array. - Osamu Sugiyama; Satoshi Uemura; Akihide Nagamine; Ryosuke Kojima; Keisuke Nakamura; Kazuhiro Nakadai (J. Robotics Mechatronics, 2017)

HARK-Bird-Box: A Portable Real-time Bird Song Scene Analysis System. - Ryosuke Kojima; Osamu Sugiyama; Kotaro Hoshiba; Reiji Suzuki; Kazuhiro Nakadai (IROS, 2018)

Learning to rank in PRISM. - Ryosuke Kojima; Taisuke Sato (Int. J. Approx. Reason., 2018)

Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. - Yusuke Nagasaka; Akira Nukada; Ryosuke Kojima; Satoshi Matsuoka (CCGRID, 2019)

Logical Inference as Cost Minimization in Vector Spaces. - Taisuke Sato; Ryosuke Kojima (IJCAI, 2019)

T-PRISM: A tensorized logic programming language for data modelling. - Ryosuke Kojima; Taisuke Sato (NeSy@IJCAI, 2019)

Design and assessment of multiple-sound source localization using microphone arrays. - Daniel Gabriel; Ryosuke Kojima; Kotaro Hoshiba; Katsutoshi Itoyama; Kenji Nishida; Kazuhiro Nakadai (SII, 2019)

Med2RDF: Semantic Biomedical Knowledge-base and APIs for the Clinical Genome Medicine. - Mayumi Kamada; Toshiaki Katayama; Shuichi Kawashima; Ryosuke Kojima; Masahiko Nakatsui; Yasushi Okuno (SWAT4HCLS, 2019)

2D sound source position estimation using microphone arrays and its application to a VR-based bird song analysis system. - Daniel Gabriel; Ryosuke Kojima; Kotaro Hoshiba; Katsutoshi Itoyama; Kenji Nishida; Kazuhiro Nakadai (Adv. Robotics, 2019)

A tensorized logic programming language for large-scale data. - Ryosuke Kojima; Taisuke Sato (CoRR, 2019)

Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks. - Shoichi Ishida; Kei Terayama; Ryosuke Kojima; Kiyosei Takasu; Yasushi Okuno (J. Chem. Inf. Model., 2019)

Sound Source Localization Based on von-Mises-Bernoulli Deep Neural Network. - Kazuhiro Nakadai; Shungo Masaki; Ryosuke Kojima; Osamu Sugiyama; Katsutoshi Itoyama; Kenji Nishida (SII, 2020)

Health improvement framework for planning actionable treatment process using surrogate Bayesian model. - Kazuki Nakamura; Ryosuke Kojima; Eiichiro Uchino; Koichi Murashita; Ken Itoh; Shigeyuki Nakaji; Yasushi Okuno (CoRR, 2020)

Prediction of blood pressure variability using deep neural networks. - Hiroshi Koshimizu; Ryosuke Kojima; Kazuomi Kario; Yasushi Okuno (Int. J. Medical Informatics, 2020)

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach. - Eiichiro Uchino; Kanata Suzuki; Noriaki Sato; Ryosuke Kojima; Yoshinori Tamada; Shusuke Hiragi; Hideki Yokoi; Nobuhiro Yugami; Sachiko Minamiguchi; Hironori Haga; Motoko Yanagita; Yasushi Okuno (Int. J. Medical Informatics, 2020)

kGCN: a graph-based deep learning framework for chemical structures. - Ryosuke Kojima; Shoichi Ishida; Masateru Ohta; Hiroaki Iwata; Teruki Honma; Yasushi Okuno (J. Cheminformatics, 2020)

Assessment of von Mises-Bernoulli Deep Neural Network in Sound Source Localization. - Katsutoshi Itoyama; Yoshiya Morimoto; Shungo Masaki; Ryosuke Kojima; Kenji Nishida; Kazuhiro Nakadai (Interspeech, 2021)

Boolean Network Learning in Vector Spaces for Genome-wide Network Analysis. - Taisuke Sato; Ryosuke Kojima (KR, 2021)

An unsupervised auditory scene analysis system using incremental low-dimensional embedding. - Kenta Shinzato; Ryosuke Kojima (SII, 2021)

Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data. - Noriaki Sato; Eiichiro Uchino; Ryosuke Kojima; Shusuke Hiragi; Motoko Yanagita; Yasushi Okuno (Comput. Methods Programs Biomed., 2021)

Complex network prediction using deep learning. - Yoshihisa Tanaka; Ryosuke Kojima; Shoichi Ishida; Fumiyoshi Yamashita; Yasushi Okuno (CoRR, 2021)

MatSat: a matrix-based differentiable SAT solver. - Taisuke Sato; Ryosuke Kojima (CoRR, 2021)

Differential Privacy under Incalculable Sensitivity. - Tomoaki Mimoto; Masayuki Hashimoto; Hiroyuki Yokoyama; Toru Nakamura; Takamasa Isohara; Ryosuke Kojima; Aki Hasegawa; Yasushi Okuno (CSP, 2022)

Learning Deep Input-Output Stable Dynamics. - Ryosuke Kojima; Yuji Okamoto (NeurIPS, 2022)

GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network. - Atsuko Takagi; Mayumi Kamada; Eri Hamatani; Ryosuke Kojima; Yasushi Okuno (CoRR, 2022)

AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge. - Shoichi Ishida; Kei Terayama; Ryosuke Kojima; Kiyosei Takasu; Yasushi Okuno (J. Chem. Inf. Model., 2022)

An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction. - Kazuma Inoue; Ryosuke Kojima; Mayumi Kamada; Yasushi Okuno (CoRR, 2023)

A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data. - Aya Nakamura; Ryosuke Kojima; Yuji Okamoto; Eiichiro Uchino; Yohei Mineharu; Yohei Harada; Mayumi Kamada; Manabu Muto; Motoko Yanagita; Yasushi Okuno (CoRR, 2023)

ReactionT5: a large-scale pre-trained model towards application of limited reaction data. - Tatsuya Sagawa; Ryosuke Kojima (CoRR, 2023)

Privacy-Preserving Correlation Coefficient. - Tomoaki Mimoto; Hiroyuki Yokoyama; Toru Nakamura; Takamasa Isohara; Masayuki Hashimoto; Ryosuke Kojima; Aki Hasegawa; Yasushi Okuno (IEICE Trans. Inf. Syst., 2023)

Individual health-disease phase diagrams for disease prevention based on machine learning. - Kazuki Nakamura; Eiichiro Uchino; Noriaki Sato; Ayano Araki; Kei Terayama; Ryosuke Kojima; Koichi Murashita; Ken Itoh; Tatsuya Mikami; Yoshinori Tamada; Yasushi Okuno (J. Biomed. Informatics, 2023)

Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples. - Takuto Koyama; Shigeyuki Matsumoto; Hiroaki Iwata; Ryosuke Kojima; Yasushi Okuno (J. Chem. Inf. Model., 2023)

Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network. - Narumi Hatano; Mayumi Kamada; Ryosuke Kojima; Yasushi Okuno (BMC Bioinform., 2023)

VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search. - Hiroaki Iwata; Taichi Nakai; Takuto Koyama; Shigeyuki Matsumoto; Ryosuke Kojima; Yasushi Okuno (J. Chem. Inf. Model., 2023)

Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control. - Masahiro Kato; Ryosuke Kojima (IEA/AIE, 2024)

Floor-Field-Guided Neural Model for Crowd Counting. - Takehiro Habara; Ryosuke Kojima (IEEE Access, 2024)

Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction. - Taisei Tosaki; Eiichiro Uchino; Ryosuke Kojima; Yohei Mineharu; Mikio Arita; Nobuyuki Miyai; Yoshinori Tamada; Tatsuya Mikami; Koichi Murashita; Shigeyuki Nakaji; Yasushi Okuno (CoRR, 2024)

Learning Deep Dissipative Dynamics. - Yuji Okamoto; Ryosuke Kojima (AAAI, 2025)

Supervised Graph Contrastive Learning for Gene Regulatory Network. - Sho Oshima; Yuji Okamoto; Taisei Tosaki; Ryosuke Kojima; Yasushi Okuno (CoRR, 2025)

kMoL: an open-source machine and federated learning library for drug discovery. - Romeo Cozac; Haris Hasic; Jun Jin Choong; Vincent Richard; Loic Beheshti; Cyrille Froehlich; Takuto Koyama; Shigeyuki Matsumoto; Ryosuke Kojima; Hiroaki Iwata; Aki Hasegawa; Takao Otsuka; et al. (J. Cheminformatics, 2025)