A region extraction method using a distance function between images. - Tomoharu Nagao; Takeshi Agui; Masayuki Nakajima 001 (Syst. Comput. Jpn., 1986)

An identification method of closed regions between line drawings using motion analysis. - Tomoharu Nagao; Takeshi Agui; Masayuki Nakajima 001 (Syst. Comput. Jpn., 1987)

Extraction of arbitrary shapes from a noisy binary image using pseudo view field tracer. - Tomoharu Nagao; Takeshi Agui; Masayuki Nakajima 001 (VCIP, 1990)

A Data Management Method for Maps Using Band Division of Data Plane. - Takeshi Agui; Tomoharu Nagao; Hitoshi Misawa; Masayuki Nakajima 001 (Syst. Comput. Jpn., 1990)

A Method of Extracting Similar Figures Using Polar Features. - Tomoharu Nagao; Takeshi Agui; Masayuki Nakajima 001 (Syst. Comput. Jpn., 1990)

An extraction method for same figure using polar features. - Tomoharu Nagao; Takeshi Agui; Masayuki Nakajima 001 (Syst. Comput. Jpn., 1990)

Automatic extraction of roads denoted by parallel lines from 1/25, 000-scaled maps utilizing skip-scan method. - Tomoharu Nagao; Takeshi Agui; Masayuki Nakajima 001 (Syst. Comput. Jpn., 1990)

The use of complex transform for extraction circular arcs and straight lines in engineering drawings. - Yan Jiafeng; Ban Cen Cao Qing; Takeshi Agui; Tomoharu Nagao (ICPR (3), 1992)

Extraction of two-dimensional arbitrary shapes using a genetic algorithm. - Tomoharu Nagao; Takeshi Agui; Hiroshi Nagahashi (VCIP, 1993)

Homogeneous Coding for Genetic Algorithm Based Parameter Optimization. - Tomoharu Nagao (International Conference on Evolutionary Computation, 1996)

Automatic construction of image transformation processes using genetic algorithm. - Tomoharu Nagao; Shinya Masunaga (ICIP (3), 1996)

Emergence of the cooperative behavior using ADG; Automatically Defined Groups. - Akira Hara; Tomoharu Nagao (GECCO, 1999)

Automatic Construction of Tree-Structural Image Transformations Using Genetic Programming. - Shinya Aoki; Tomoharu Nagao (ICIAP, 1999)

Automatic Construction of Tree-Structural Image Transformation Using Genetic Programming. - Shinya Aoki; Tomoharu Nagao (ICIP (1), 1999)

Construction and Analysis of Stock Market Model Using ADG; Automatically Defined Groups. - Akira Hara; Tomoharu Nagao (Int. J. Comput. Intell. Appl., 2002)

A proposal of 2D artificial cellular neural network including nonvolatile unit. - Daisuke Hiratsu; Tomoharu Nagao (Syst. Comput. Jpn., 2002)

Matching of characters in scene images by using local shape feature vectors. - Yi Hu; Tomoharu Nagao (ICIAP, 2003)

The Chaos Analysis of Long Memory Process in Artificial Stock Markets Consist of Multi-Agents. - Shintaro Ogino; Tomoharu Nagao (CW, 2004)

A matching method based on marker-controlled watershed segmentation. - Yi Hu; Tomoharu Nagao (ICIP, 2004)

A Template Matching Method Based on Marker-Controlled Watershed Segmentation. - Yi Hu; Tomoharu Nagao (IEICE Trans. Inf. Syst., 2004)

Adaptive XCSM for Perceptual Aliasing Problems. - Shumei Liu; Tomoharu Nagao (ICNC (3), 2005)

Graph structured program evolution. - Shinichi Shirakawa; Shintaro Ogino; Tomoharu Nagao (GECCO, 2007)

Anisotropic Potential Field Maximization Model for Subjective Contour from Line Figure. - Osamu Hirose; Tomoharu Nagao (ISVC (1), 2007)

Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm. - Shinichi Shirakawa; Tomoharu Nagao (ISVC (2), 2007)

Fast evolutionary image processing using Multi-GPUs. - Jun Ando; Tomoharu Nagao (SMC, 2007)

Automatic construction of moving object segmentation from video image using 3D-ACTIT. - Yuta Nakano; Tomoharu Nagao (SMC, 2007)

Evolution of sorting algorithm using graph structured program evolution. - Shinichi Shirakawa; Tomoharu Nagao (SMC, 2007)

Onboard Evolutionary Risk Recognition System for Automobiles - Toward the Risk Map System. - Genya Ogawa; Katsuyuki Kise; Tsuyoshi Torii; Tomoharu Nagao (IEEE Trans. Ind. Electron., 2007)

Evolutionary algorithm considering program size: efficient program evolution using grape. - Shinichi Shirakawa; Tomoharu Nagao (GECCO (Companion), 2008)

Extraction of Illumination Effects from Natural Images with Color Transition Model. - Hiroaki Nishihara; Tomoharu Nagao (ISVC (2), 2008)

Evolutionary image segmentation based on multiobjective clustering. - Shinichi Shirakawa; Tomoharu Nagao (IEEE Congress on Evolutionary Computation, 2009)

Evolution of Search Algorithms Using Graph Structured Program Evolution. - Shinichi Shirakawa; Tomoharu Nagao (EuroGP, 2009)

Genetic Image Network for Image Classification. - Shinichi Shirakawa; Shiro Nakayama; Tomoharu Nagao (EvoWorkshops, 2009)

Graph structured program evolution with automatically defined nodes. - Shinichi Shirakawa; Tomoharu Nagao (GECCO, 2009)

Image Classification and Processing using Modified Parallel-ACTIT. - Jun Ando; Tomoharu Nagao (SMC, 2009)

Automatic construction of image transformation algorithms using feature based genetic image network. - Yuta Nakano; Shinichi Shirakawa; Noriko Yata; Tomoharu Nagao (IEEE Congress on Evolutionary Computation, 2010)

Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming. - Shinichi Shirakawa; Noriko Yata; Tomoharu Nagao (IEEE Congress on Evolutionary Computation, 2010)

Ensemble Image Classification Method Based on Genetic Image Network. - Shiro Nakayama; Shinichi Shirakawa; Noriko Yata; Tomoharu Nagao (EuroGP, 2010)

Extracted facial feature of racial closely related faces. - Chalothorn Liewchavalit; Masakazu Akiba; Tsuneo Kanno; Tomoharu Nagao (ICDIP, 2010)

Efficient evolutionary image processing using genetic programming: Reducing computation time for generating feature images of the Automatically Construction of Tree-Structural Image Transformation (ACTIT). - Haiying Bai; Noriko Yata; Tomoharu Nagao (ISDA, 2010)

Dichromat's Categorical Color Perception Model. - Noriko Yata; Tomoharu Nagao; Keiji Uchikawa (CGIV, 2012)

Flexible design of image classification rules using extended Fuzzy Oriented Classifier Evolution. - Junji Otsuka; Tomoharu Nagao (SCIS&ISIS, 2012)

Automatic construction of single frame super-resolution using Cartesian Genetic Programming. - Yusuke Natsui; Tomoharu Nagao (IWCIA, 2013)

Detecting electrical stimulation of cortical mapping from recorded awake surgery sounds. - Toshihiko Nishimura; Tomoharu Nagao (IWCIA, 2013)

Scene classification using color and structure-based features. - Ken Shimazaki; Tomoharu Nagao (IWCIA, 2013)

Detection of electrical stimulation position in recorded surgery videos of cortical mapping in awake brain surgery. - Masanori Suganuma; Tomoharu Nagao (IWCIA, 2013)

Automatic Construction of Image Transformations to Produce Variously Stylized Painterly Images. - Keita Nakayama; Tomoharu Nagao (EMS, 2013)

Disparity Diffusion/Absorption-Based Stereo Matching Using Cellular Evolutionary Neural Network with Initial Disparity Optimization. - Tomohiro Nagata; Tomoharu Nagao (SMC, 2013)

A Classification System for Gray Scale Images by Using Combination of Simple Figures. - Ryoji Ohira; Noriko Yata; Tomoharu Nagao (SMC, 2013)

An Improvement in Classification Accuracy of Fuzzy Oriented Classifier Evolution. - Junji Otsuka; Tomoharu Nagao (SMC, 2013)

A Self-Organizing Method Using Data Movement on Spherical Surface. - Kota Saito; Tomoharu Nagao (SMC, 2013)

Evolutionary Fuzzy Rule Construction for Iterative Object Segmentation. - Junji Otsuka; Tomoharu Nagao (ICAART (1), 2014)

Local Landscape Patterns for Fitness Landscape Analysis. - Shinichi Shirakawa; Tomoharu Nagao (SEAL, 2014)

Automatic video tagging method for cortical mapping in awake craniotomy records. - Toshihiko Nishimura; Tomoharu Nagao; Hiroshi Iseki; Yoshihiro Muragaki; Manabu Tamura; Shinji Minami (SMC, 2014)

Construction of annotated data for analysis of recorded cortical mapping videos. - Toshihiko Nishimura; Tomoharu Nagao; Hiroshi Iseki; Yoshihiro Muragaki; Manabu Tamura; Shinji Minami (IWCIA, 2015)

Semantic segmentation considering location and co-occurrence in scene. - Ken Shimazaki; Tomoharu Nagao (IWCIA, 2015)

Single frame super-resolution using multiple graph structured program. - Yusuke Natsui; Tomoharu Nagao (IWCIA, 2016)

Optimizing the structure of a path analysis model using a real-valued flexibly connected neural network. - Shinya Watanuki; Tomoharu Nagao (IWCIA, 2016)

Semantic segmentation using Three-Dimensional Cellular Evolutionary Networks. - Ken Shimazaki; Tomoharu Nagao (SMC, 2016)

Hierarchical feature construction for image classification using Genetic Programming. - Masanori Suganuma; Daiki Tsuchiya; Shinichi Shirakawa; Tomoharu Nagao (SMC, 2016)

Bag of local landscape features for fitness landscape analysis. - Shinichi Shirakawa; Tomoharu Nagao (Soft Comput., 2016)

Generative adversarial network for visualizing convolutional network. - Masayuki Kobayashi; Masanori Suganuma; Tomoharu Nagao (IWCIA, 2017)

Acquiring grasp strategies for a multifingered robot hand using evolutionary algorithms. - Chiaki Hirayama; Toshiya Watanabe; Shinji Kawabata; Masanori Suganuma; Tomoharu Nagao (SMC, 2017)

Frequency filter networks for EEG-based recognition. - Miku Yanagimoto; Chika Sugimoto; Tomoharu Nagao (SMC, 2017)

Data Augmentation using Evolutionary Image Processing. - Kosaku Fujita; Masayuki Kobayashi; Tomoharu Nagao (DICTA, 2018)

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. - Masanori Suganuma; Shinichi Shirakawa; Tomoharu Nagao (IJCAI, 2018)

Non-parallel Voice Conversion Using Generative Adversarial Networks. - Yuta Hasunuma; Chiaki Hirayama; Masayuki Kobayashi; Tomoharu Nagao (SMC, 2018)

Percolative Learning: Time-Series Prediction from Future Tendencies. - Kazuki Takaishi; Masayuki Kobayashi; Miku Yanagimoto; Tomoharu Nagao (SMC, 2018)

A generative model approach for visualising convolutional neural networks. - Masayuki Kobayashi; Masanori Suganuma; Tomoharu Nagao (Int. J. Comput. Intell. Stud., 2018)

Dynamic Path Costs Update Method reflecting Delivery Tendencies for Multi-Agent Delivery Tasks. - Chiaki Hirayama; Tomoharu Nagao (SMC, 2019)

Tumor Detection Method with Traceable Decision Process. - Satoshi Yamaguchi; Kouzou Murakami; Chiaki Hirayama; Tomoharu Nagao (SMC, 2019)

An evolution-based approach for efficient differentiable architecture search. - Masayuki Kobayashi; Tomoharu Nagao (GECCO Companion, 2020)

A Multi-objective architecture search for generative adversarial networks. - Masayuki Kobayashi; Tomoharu Nagao (GECCO Companion, 2020)

Separation of the Latent Representations into "Identity" and "Expression" without Emotional Labels. - Yoshihisa Kanou; Tomoharu Nagao (SMC, 2020)

Evolutionary Generative Contribution Mappings. - Masayuki Kobayashi; Satoshi Arai; Tomoharu Nagao (SMC, 2020)

Time Series Prediction with Dual Reliability: Uncertainty and Explainability. - Taro Kono; Satoshi Yamaguchi; Tomoharu Nagao (SMC, 2020)

Fishing Activity Prediction from Satellite Boat Detection Data. - Kazushi Motomura; Tomoharu Nagao (SMC, 2020)

Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming. - Masanori Suganuma; Masayuki Kobayashi; Shinichi Shirakawa; Tomoharu Nagao (Evol. Comput., 2020)

Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming. - Masanori Suganuma; Shinichi Shirakawa; Tomoharu Nagao (Deep Neural Evolution, 2020)

Non-strict Attentional Region Annotation to Improve Image Classification Accuracy. - Satoshi Arai; Shinichi Shirakawa; Tomoharu Nagao (SMC, 2021)

Comparison of Feature Selection Methods for Bottom-up of 1p/19q Co-deletion Prediction Performance in Grade 2 and 3 Gliomas. - Tatsuaki Kobayashi; Tomoharu Nagao (DMIP, 2022)

Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance. - Masayuki Kobayashi; Shinichi Shirakawa; Tomoharu Nagao (ICAART (3), 2022)

Classifying the Presence or Absence of Calcifications on Mammography using the EfficientNet: A Feasibility Study. - Tatsuaki Kobayashi; Takafumi Haraguchi; Tomoharu Nagao (LifeTech, 2022)

Designing B-spline-based Highly Efficient Neural Networks for IoT Applications on Edge Platforms. - Naoki Kuzuya; Tomoharu Nagao (SMC, 2022)

MIPCE: Generating Multiple Patches Counterfactual-Changing Explanations for Time Series Classification. - Hiroyuki Okumura; Tomoharu Nagao (ICANN (6), 2023)

BINN-DT: Towards Better Interpretability of Multidimensional Decision Rules via Bivariate Nonlinear Node Decision Trees. - Satoshi Arai; Shinichi Shirakawa; Tomoharu Nagao (SMC, 2024)