M. Numao

Masayuki Numao, Ken-ichi Fukui, Juan Lorenzo Hagad, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Finding Motifs in Psychophysiological Responses and Chord Sequences

Masayuki Numao, Rafael Cabredo, Roberto Legaspi, 2012 .

Ordered Estimation of Missing Values

Masayuki Numao, Oscar Ortega Lobo, O. O. Lobo, 1999, PAKDD.

Positing a Growth-Centric Approach in Empathic Ambient Human-System Interaction

Masayuki Numao, Satoshi Kurihara, Ken-ichi Fukui, 2009 .

A Rule-Based Interpretation of Contour Patterns with Curves

Masayuki Numao, Mitsuru Ishizuka, Yasuhiko Yasuda, 1983 .

Automated Bias Shift in a Constrained Space for Logic Program Synthesis

Masayuki Numao, Mofizur Rahman Chowdhury, Mofizur Rahman Chowdhury, 2001 .

Constructive Induction for Recursive Programs

Masayuki Numao, Chowdhury Rahman Mofizur, M. Numao, 1994, AII/ALT.

Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes

Matthew A. Wilson, Masayuki Numao, Ken-ichi Fukui, 2015, Knowl. Based Syst..

Predicting Consumer Familiarity with Health Topics by Query Formulation and Search Result Interaction

Masayuki Numao, Ken-ichi Fukui, Ira Puspitasari, 2014, PRICAI.

Discovering Error Classes from Discrepancies in Novice Behaviors Via Multistrategy Conceptual Clustering

Masayuki Numao, Raymund Sison, Masamichi Shimura, 2004, User Modeling and User-Adapted Interaction.

Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery

Masayuki Numao, Masamichi Shimura, Rayond Sison, 1997, IJCAI.

An analysis of player affect transitions in survival horror games

M. Numao, Ken-ichi Fukui, R. Legaspi, 2015, Journal on Multimodal User Interfaces.

Efficient Multiple Predicate Learner Based on Fast Failure Mechanism

Masayuki Numao, Xiaolong Zhang, M. Numao, 1996, PRICAI.

Time-Interval Clustering in Sequence Pattern Recognition as Tool for Behavior Modeling

Masayuki Numao, Satoshi Kurihara, Koichi Moriyama, 2012 .

Acquisition of Human Feelings in Music Arrangements

Masayuki Numao, Masashi Kobayashi, Katsuyuki Sakaniwa, 1997, IJCAI.

Renewal of the Major Fields of New Generation Computing Vol. 38 (2020)

Masayuki Numao, Shinnosuke Seki, Yutaka Matsuo, 2020, New Generation Computing.

Application of deep belief networks in eeg-based dynamic music-emotion recognition

Masayuki Numao, Ken-ichi Fukui, Nattapong Thammasan, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Deep Visual Models for EEG of Mindfulness Meditation in a Workplace Setting

Masayuki Numao, Juan Lorenzo Hagad, Kenichi Fukui, 2019, Precision Health and Medicine.

Periodical Multi-secret Threshold Cryptosystems

Masayuki Numao, M. Numao, 1999, ASIACRYPT.

Generating a melody based on symbiotic evolution for musicians' creative activities

Masayuki Numao, Daisuke Okabe, Noriko Otani, 2018, GECCO.

Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering

Masayuki Numao, Ken-ichi Fukui, Satoshi Ono, 2017, AAAI.

Design of Populations in Symbiotic Evolution to Generate Chord Progression in Consideration of the Entire Music Structure

Masayuki Numao, Noriko Otani, Shoko Shirakawa, 2014, PRIMA Workshops.

Exploring Melodic Motif to Support an Affect-Based Music Compositional Intelligence

Masayuki Numao, Satoshi Kurihara, Ken-ichi Fukui, 2011, 2011 Third International Conference on Knowledge and Systems Engineering.

Cluster Analysis of Face Images and Literature Data by Evolutionary Distance Metric Learning

Masayuki Numao, Ken-ichi Fukui, Satoshi Ono, 2015, SGAI Conf..

Evolutionary multi-objective distance metric learning for multi-label clustering

Masayuki Numao, Ken-ichi Fukui, Satoshi Ono, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting pdf

Masayuki Numao, Boonserm Kijsirikul, Ken-ichi Fukui, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Learning Subject-Generalized Topographical EEG Embeddings Using Deep Variational Autoencoders and Domain-Adversarial Regularization

Masayuki Numao, Ken-ichi Fukui, Juan Lorenzo Hagad, 2021, Sensors.

Inductive logic programming for relational knowledge discovery

Masayuki Numao, Saso Dzeroski, Nada Lavrac, 1998, New Generation Computing.

Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data

Masayuki Numao, Takashi Okada, Cholwich Nattee, 2005, 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops).

Using Domain Knowledge in ILP to Discover Protein Functional Models

Takashi Ishikawa, Masayuki Numao, Takao Terano, 2000, PRICAI.

Discovering Protein Functional Models Using Inductive Logic Programming

M. Numao, T. Terano, Takashi Ishikawa, 2000, PAKDD.

Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals

Masayuki Numao, Boonserm Kijsirikul, Masamichi Shimura, 1991, ML.

A Learning Mechanism for Logic Programs Using Dynamically Shared Substructures

Masayuki Numao, Shigekazu Morita, Kenichi Karaki, 1995, Machine Intelligence 15.

Inductively Speeding Up Logic Programs

Masayuki Numao, Masamichi Shimura, T. Maruoka, 1994, Machine Intelligence 13.

A Product Domain Model Based Software Product Line Engineering for Web Application

Masayuki Numao, Takashi Nerome, M. Numao, 2014, 2014 Second International Symposium on Computing and Networking.

Feasible Affect Recognition in Advertising Based on Physiological Responses from Wearable Sensors

Masayuki Numao, Ken-ichi Fukui, Taweesak Emsawas, 2019, JSAI.

A knowledge-level analysis of explanation-based learning

Masayuki Numao, Masamichi Shimura, M. Numao, 1990, IEA/AIE.

Concept Drift Detection with Clustering via Statistical Change Detection Methods

Masayuki Numao, João Gama, Ken-ichi Fukui, 2015, 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE).

A Learning method based on partial structures of explanations

Masayuki Numao, Masamichi Shimura, M. Numao, 1990, Systems and Computers in Japan.

An ATMS-based geometric constraint solver for 3D CAD

Masayuki Numao, K. Inoue, Shuichi Shimizu, 1991, [Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91.

Modelling affective-based music compositional intelligence with the aid of ANS analyses

Masayuki Numao, Satoshi Kurihara, Koichi Moriyama, 2007, Knowl. Based Syst..

Cooperation-eliciting prisoner's dilemma payoffs for reinforcement learning agents

Masayuki Numao, Satoshi Kurihara, Koichi Moriyama, 2014, AAMAS.

Evolving subjective utilities: Prisoner's Dilemma game examples

Masayuki Numao, Satoshi Kurihara, Koichi Moriyama, 2011, AAMAS.

Towards the Design of Affective Survival Horror Games: An Investigation on Player Affect

Masayuki Numao, Koichi Moriyama, Vanus Vachiratamporn, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Continuous Music-Emotion Recognition Based on Electroencephalogram

Masayuki Numao, Ken-ichi Fukui, Koichi Moriyama, 2016, IEICE Trans. Inf. Syst..

Concept Drift Detection for Graph-Structured Classifiers under Scarcity of True Labels

Masayuki Numao, Ken-ichi Fukui, Noppayut Sriwatanasakdi, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations

Masayuki Numao, Ken-ichi Fukui, Pongpisit Thanasutives, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Familiarity effects in EEG-based emotion recognition

Masayuki Numao, Ken-ichi Fukui, Koichi Moriyama, 2016, Brain Informatics.

An investigation of annotation smoothing for EEG-based continuous music-emotion recognition

Masayuki Numao, Ken-ichi Fukui, Nattapong Thammasan, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

EEG emotion Enhancement using Task-specific Domain Adversarial Neural Network

Masayuki Numao, Ken-ichi Fukui, Tsukasa Kimura, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Subject-Independent Emotion Recognition During Music Listening Based on EEG Using Deep Convolutional Neural Networks

Masayuki Numao, Boonserm Kijsirikul, Panayu Keelawat, 2019, 2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA).

A Study on Activity Predictive Modeling for Prompt and Delayed Services in Smart Space

Masayuki Numao, Satoshi Kurihara, Roberto Legaspi, 2013 .

DIPS: Diagrammatic arithmetic problem solver

Masayuki Numao, Tsuyoshi Murata, Masamichi Shimura, 2002, Systems and Computers in Japan.

Learning Simple Recursive Concepts by Discovering Missing Examples

Masayuki Numao, Chowdhury Rahman Mofizur, M. Numao, 1996, PRICAI.

Investigation of Familiarity Effects in Music-Emotion Recognition Based on EEG

Masayuki Numao, Ken-ichi Fukui, Koichi Moriyama, 2015, BIH.

A Study of Upper Tropospheric Circulations over the Northern Hemisphere Prediction Using Multivariate Features by ConvLSTM

Masayuki Numao, Ekasit Phermphoonphiphat, Tomohiko Tomita, 2019, IES.

Cluster sequence mining from event sequence data and its application to damage correlation analysis

Masayuki Numao, Ken-ichi Fukui, Yoshiyuki Okada, 2019, Knowl. Based Syst..

Discovery of Damage Patterns in Fuel Cell and Earthquake Occurrence Patterns by Co-Occurring Cluster Mining

Masayuki Numao, Ken-ichi Fukui, Daiki Inaba, 2014, AAAI 2014.

Visualizing Internal Micro Damage Distribution in Solid Oxide Fuel Cells

M. Numao, Ken-ichi Fukui, T. Kawada, 2023, SSRN Electronic Journal.

Intelligent Analysis for Evaluating Physical Degradation Using Acoustic Emission

M. Numao, T. Hashida, Kazuhisa Sato, 2013 .

Co-occurring Cluster Mining for Damage Patterns Analysis of a Fuel Cell

Masayuki Numao, Ken-ichi Fukui, Kazuhisa Sato, 2012, PAKDD.

A Framework for Predicting Remaining Useful Life Curve of Rolling Bearings Under Defect Progression Based on Neural Network and Bayesian Method

Masayuki Numao, Masashi Kitai, Ryoji Tani, 2021, IEEE Access.

Sound-based sleep assessment with controllable subject-dependent embedding using Variational Domain Adversarial Neural Network

M. Numao, Takafumi Kato, Ken-ichi Fukui, 2023, International Journal of Data Science and Analytics.

Spatio-Temporal Change Detection Using Granger Sequence Pattern

Masayuki Numao, Ken-ichi Fukui, Nat Pavasant, 2020, IJCAI.

A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN

Masayuki Numao, Boonserm Kijsirikul, Panayu Keelawat, 2021, Sensors.

Personal sleep pattern visualization using sequence-based kernel self-organizing map on sound data

Masayuki Numao, Ken-ichi Fukui, Hongle Wu, 2017, Artif. Intell. Medicine.

An integrated scheduling/planning environment for petrochemical production processes

Masayuki Numao, M. Numao, 1995 .

Cooperative scheduling and its application to steelmaking processes

Masayuki Numao, Shinichi Morishita, S. Morishita, 1991 .

A scheduling environment for steel-making processes

M. Numao, S.-i. Morishita, S. Morishita, 1989, [1989] Proceedings. The Fifth Conference on Artificial Intelligence Applications.

Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening pdf

Masayuki Numao, Boonserm Kijsirikul, Panayu Keelawat, 2019, ArXiv.

Learners’ Efficiency Prediction Using Facial Behavior Analysis

H. Nagahara, Noriko Takemura, M. Numao, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Error Detection in Ocean Data Considering Spatial Autocorrelation

Masayuki Numao, Shogo Hayashi, Satoshi Ono, 2018 .

Error Detection of Ocean Depth Series Data with Area Partitioning and Using Sliding Window

Masayuki Numao, Shogo Hayashi, Ken-ichi Fukui, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Measuring Functional Independence of an Aged Person with a Combination of Machine Learning and Logical Reasoning

Masayuki Numao, Nobuyuki Oishi, M. Numao, 2019, AAAI Spring Symposium: Interpretable AI for Well-being.

Multi-round Secure-Light Broadcast Exclusion Protocol with Pre-processing

Masayuki Numao, Yuji Watanabe, M. Numao, 2003, ESORICS.

Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery

M. Numao, Ken-ichi Fukui, Pongpisit Thanasutives, 2023, IEEE Access.

Cluster-based predictive modeling to improve pedagogic reasoning

Masayuki Numao, Ken-ichi Fukui, Raymund Sison, 2008, Comput. Hum. Behav..

Method for fast compression of program codes for OTA updation in consumer devices

Masayuki Numao, Ryozo Kiyohara, Satoshi Kurihara, 2009, 2009 Digest of Technical Papers International Conference on Consumer Electronics.

A new method of fast compression of program code for ota updates in consumer devices

Masayuki Numao, Satoshi Kurihara, Ryozo Kiyohara, 2009, IEEE Transactions on Consumer Electronics.

EEG-Based Emotion Recognition during Music Listening

Masayuki Numao, Koichi Moriyama, Nattapong Thammasan, 2014 .

Evaluation of Graph Representations with Active Nodes

Masayuki Numao, Masamichi Shimura, M. Numao, 1984, RIMS Symposia on Software Science and Engineering.

Growth Analysis of Neighbor Network for Evaluation of Damage Progress

Masayuki Numao, Masahiro Kimura, Ken-ichi Fukui, 2009, PAKDD.

Clustering and Data Augmentation to Improve Accuracy of Sleep Assessment and Sleep Individuality Analysis

M. Numao, Ken-ichi Fukui, Shintaro Tamai, 2024, 2404.10299.

Predicting Levels of Rapport in Dyadic Interactions through Automatic Detection of Posture and Posture Congruence

Masayuki Numao, Roberto S. Legaspi, Merlin Suarez, 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

Modelling Naturalistic Work Stress Using Spectral HRV Representations and Deep Learning

Masayuki Numao, Ken-ichi Fukui, Juan Lorenzo Hagad, 2019, JSAI.

Modeling Work Stress Using Heart Rate and Stress Coping Profiles

Masayuki Numao, Ken-ichi Fukui, Koichi Moriyama, 2014, PRIMA Workshops.

A Model for Sitting Postures in Relation to Learning and Non-learning Behaviors

Masayuki Numao, Paul Salvador Inventado, Roberto Legaspi, 2012 .

Kullback-Leibler Divergence Based Kernel SOM for Visualization of Damage Process on Fuel Cells

Masayuki Numao, Ken-ichi Fukui, Kazuhisa Sato, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

How should Prolog computation Be represented for practical use?

Masayuki Numao, M. Numao, 2009, New Generation Computing.

Music compositional intelligence with an affective flavor

Masayuki Numao, Satoshi Kurihara, Koichi Moriyama, 2007, IUI '07.

Trends in Artificial Intelligence: PRICAI 2016 Workshops

Masayuki Numao, Mahasak Ketcham, Thepchai Supnithi, 2016, Lecture Notes in Computer Science.

Application of Annotation Smoothing for Subject-Independent Emotion Recognition Based on Electroencephalogram

Masayuki Numao, Ken-ichi Fukui, Nattapong Thammasan, 2016, PRICAI Workshops.