M. Murakawa

发表

Vib ration-Based Anomaly Detection Using FLAC Features for Wind T urbine Condition Monitoring

Jun Ogata, M. Murakawa, 2016 .

Extraction of Process Model Parameters Based on Distributed Genetic Algorithms

Tetsuya Higuchi, Masahiro Murakawa, Kenji Nishi, 2004 .

Adaptive training of vibration-based anomaly detector for wind turbine condition monitoring

Tetsuji Ogawa, Masahiro Murakawa, Tetsunori Kobayashi, 2020 .

Bleeding and Tumor Detection for Capsule Endoscopy Images Using Improved Geometric Feature

M. Murakawa, Yasuo Suzuki, E. Takahashi, 2016 .

Abnormality Detection in Multi-Channel Time-Series Data Using Higher-Order Local Autocorrelation Features

Tetsuya Higuchi, Hajime Kubota, Masahiro Murakawa, 2009 .

203 Machine Learning Based Anomaly Detection System for Wind Turbine Smart Maintenance

Jun Ogata, Masahiro Murakawa, Jun Ogata, 2015 .

DEFECT DETECTION FOR RC SLAB BASED ON HAMMERING ECHO ACOUSTIC ANALYSIS

T. Higuchi, M. Iwata, M. Murakawa, 2014 .

Anomaly Detection based on Representation Learning for normal and faulty classification

Tetsuji Ogawa, Jun Ogata, Masahiro Murakawa, 2017 .

Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence

H. Nishiyama, T. Kojima, K. Kawai, 2019, Journal of endourology.

FBNet: FeedBack-Recursive CNN for Saliency Detection

N. Imamoglu, M. Murakawa, Guanqun Ding, 2021, 2021 17th International Conference on Machine Vision and Applications (MVA).

Temperature-disturbance free magnetic field sensor based on double fiber optic polarimetry

Y. Ohtsuka, M. Murakawa, S. Tanaka, 1997 .

Mixup gamblers+: Learning interpolated pseudo "uncertainty" in latent feature space for reliable inference

M. Murakawa, Takumi Yamaguchi, 2022, Pattern Recognit. Lett..

Episomal Segregation of the Adenovirus Enhancer Sequence by Conditional Genome Rearrangement Abrogates Late Viral Gene Expression

M. Freeman, B. Seed, Weike Zeng, 2000, Journal of Virology.

Bleeding and Tumor Detection for Capsule Endoscopy Images Using Improved Geometric Feature

M. Murakawa, E. Takahashi, H. Nosato, 2016, Journal of Medical and Biological Engineering.

Object detection in satellite images based on human cooperative semi-self-training

Masahiro Murakawa, Hidenori Sakanashi, Kazuki Uehara, 2019, Remote Sensing.

Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural Networks

Jia Qu, Masahiro Murakawa, Hidenori Sakanashi, 2019, BIOSTEC.

Enhanced Deep Learning for Pathology Image Classification: A Knowledge Transfer based Stepwise Fine-tuning Scheme

Masahiro Murakawa, Jia Qu, Hidenori Sakanashi, 2019, BIOIMAGING.

Gastric Pathology Image Classification Using Stepwise Fine-Tuning for Deep Neural Networks

Masahiro Murakawa, Jia Qu, Hidenori Sakanashi, 2018, Journal of healthcare engineering.

The GRD Chip: Genetic Reconfiguration of DSPs for Neural Network Processing

Xin Yao, Isamu Kajitani, Masaya Iwata, 1999, IEEE Trans. Computers.

Cystoscopic imaging for bladder cancer detection based on stepwise organic transfer learning with a pre-trained convolutional neural network.

H. Nishiyama, H. Negoro, T. Kojima, 2020, Journal of endourology.

Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image Analysis

M. Murakawa, H. Nosato, H. Sakanashi, 2022, AAAI Spring Symposium: MAKE.

On-line Adaptation of Neural Networks with Evolvable Hardware

Isamu Kajitani, Tetsuya Higuchi, Masahiro Murakawa, 1997, ICGA.

Adaptive Blind Equalization Using Bottleneck Networks Implemented by Evolvable Hardware

Kazuyuki Hiraoka, Tetsuya Higuchi, Masahiro Murakawa, 1998, ICONIP.

Analogue EHW Chip for Intermediate Frequency Filters

Masaya Iwata, Tetsuya Higuchi, Masahiro Murakawa, 1998, ICES.

The novel approach for optical proximity correction using genetic algorithms

Osamu Suga, Nobuyuki Yoshioka, Tsuneo Terasawa, 2005, SPIE Photomask Technology.

An AI-calibrated IF filter: a yield enhancement method with area and power dissipation reductions

Toshio Adachi, Kaoru Takasuka, M. Murakawa, 2002, Proceedings of the IEEE 2002 Custom Integrated Circuits Conference (Cat. No.02CH37285).

ATM Cell Scheduling by Function Level Evolvable Hardware

Tetsuya Higuchi, Masahiro Murakawa, Weixin Liu, 1996, ICES.

Automatic Adjustment For Laser Systems Using A Stochastic Binary Search Algorithm To Cope With Noisy Sensing Data

M. Murakawa, H. Nosato, T. Furuya, 2008 .

Adaptive Optical Proximity Correction Using an Optimization Method

Osamu Suga, Tsuneo Terasawa, Tetsuaki Matsunawa, 2007, 7th IEEE International Conference on Computer and Information Technology (CIT 2007).

Optical Proximity Correction using an Optimization Method after Layout Design

Osamu Suga, Tsuneo Terasawa, Tetsuaki Matsunawa, 2007 .

Automatic Alignment of Multiple Optical Components Using Genetic Algorithm

Tetsuya Higuchi, Masahiro Murakawa, Hirokazu Nosato, 2006, First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06).

An automatic multi-objective adjustment system for optical axes using genetic algorithms

Masahiro Murakawa, Tatsumi Furuya, Hirokazu Nosato, 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

Automatic wave-front correction of a femtosecond laser using genetic algorithm

Taro Itatani, Tetsuya Higuchi, Masahiro Murakawa, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

An automatic fiber alignment system using genetic algorithms

Masahiro Murakawa, Tetsuya Higuchi, Yoshihiro Noda, 2004, Systems and Computers in Japan.

Automatic adjustments of a femtosecond-pulses laser using genetic algorithms

Taro Itatani, Yuji Kasai, Tetsuya Higuchi, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Automatic Optical Fiber Alignment System Using Genetic Algorithms

Tetsuya Higuchi, Masahiro Murakawa, Hirokazu Nosato, 2003, Artificial Evolution.

Automatic Adjustments of a Michelson Interferometer Using Genetic Algorithms.

Taro Itatani, Tetsuya Higuchi, Masahiro Murakawa, 2003 .

Evolvable Optical Systems and Their Applications

Taro Itatani, Yuji Kasai, Tetsuya Higuchi, 2001, ICES.

Object detection of satellite images using multi-channel higher-order local autocorrelation

Ryosuke Nakamura, Masahiro Murakawa, Hirokazu Nosato, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks pdf

Masahiro Murakawa, Ali Caglayan, Nevrez Imamoglu, 2021, Image Vis. Comput..

Kernel discriminant analysis for environmental sound recognition based on acoustic subspace

Takumi Kobayashi, Tetsuya Higuchi, Masahiro Murakawa, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Computerized Hammer Sounding Interpretation for Concrete Assessment with Online Machine Learning

Takumi Kobayashi, Masaya Iwata, Hiroshi Tsuda, 2018, Sensors.

Computerized Data Interpretation for Concrete Assessment with Air-Coupled Impact-Echo: An Online Learning Approach

Takumi Kobayashi, Masaya Iwata, Hiroshi Tsuda, 2018 .

Acoustic Scene Classification based on Sound Textures and Events

Takumi Kobayashi, Tetsuya Higuchi, Masahiro Murakawa, 2015, ACM Multimedia.

Diagnosis and Localization of Prostate Cancer via Automated Multiparametric MRI Equipped with Artificial Intelligence

N. Shinohara, M. Murakawa, T. Abe, 2022, Uro.

A GA hardware engine for post-fabrication clock-timing adjustment

I. Kajitani, M. Murakawa, E. Takahashi, 2003, 2003 46th Midwest Symposium on Circuits and Systems.

Audio Data Mining for Anthropogenic Disaster Identification: An Automatic Taxonomy Approach

Takumi Kobayashi, Hiroshi Tsuda, Masahiro Murakawa, 2020, IEEE Transactions on Emerging Topics in Computing.

Explainable Feature Embedding using Convolutional Neural Networks for Pathological Image Analysis

Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks

Masahiro Murakawa, Hidenori Sakanashi, Kazuki Uehara, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Prototype-Based Interpretation of Pathological Image Analysis by Convolutional Neural Networks

Masahiro Murakawa, Hidenori Sakanashi, Kazuki Uehara, 2019, ACPR.

Urban sound event classification based on local and global features aggregation

Takumi Kobayashi, Masahiro Murakawa, Jiaxing Ye, 2017 .

Tandem Connectionist Anomaly Detection: Use of Faulty Vibration Signals in Feature Representation Learning

Tetsuji Ogawa, Jun Ogata, Masahiro Murakawa, 2018, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM).

Real-world applications of analog and digital evolvable hardware

Kenji Toda, Mehrdad Salami, Isamu Kajitani, 1999, IEEE Trans. Evol. Comput..

Proposal for LDPC Code Design System Using Multi-Objective Optimization and FPGA-Based Emulation

Isamu Kajitani, Tetsuya Higuchi, Masahiro Murakawa, 2008, ICES.

Mixup Gamblers: Learning to Abstain with Auto-Calibrated Reward for Mixed Samples

Masahiro Murakawa, Takumi Yamaguchi, M. Murakawa, 2021, ICANN.

An evolvable hardware chip for prosthetic hand controller

Hiroshi Yokoi, Isamu Kajitani, Masaya Iwata, 1999, Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems.

An evolvable laser system for generating femtosecond pulses

Taro Itatani, Masahiro Murakawa, Yuji Kasai, 2000 .

Acoustic Scene Classification Using Efficient Summary Statistics and Multiple Spectro-Temporal Descriptor Fusion

Takumi Kobayashi, Nobuyuki Toyama, Hiroshi Tsuda, 2018, Applied Sciences.

Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer

M. Murakawa, Guanqun Ding, Ali Caglayan, 2023, ArXiv.

Evolvable hardware at function level

Mehrdad Salami, Isamu Kajitani, Masahiro Murakawa, 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

Multi-channel higher-order local autocorrelation for object detection on satellite images

Masahiro Murakawa, Ryosuke Nakamura, Hidenori Sakanashi, 2020, International Journal of Remote Sensing.

Evolvable hardware chips and their applications

Isamu Kajitani, Masaya Iwata, Tetsuya Higuchi, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Evolvable Analog LSI

Masahiro Murakawa, Hidenori Sakanashi, Yuji Kasai, 2006, Evolvable Hardware.

Evolvable Hardware Chips for Neural Network Applications

Isamu Kajitani, Masaya Iwata, Tetsuya Higuchi, 1999, ICANNGA.

Hardware Evolution at Function Level

Isamu Kajitani, Masaya Iwata, Tetsuya Higuchi, 1996, PPSN.

Post-fabrication clock-timing adjustment using genetic algorithms

M. Murakawa, E. Takahashi, T. Higuchi, 2004, IEEE Journal of Solid-State Circuits.

Evolvable hardware with genetic learning

Isamu Kajitani, Masaya Iwata, Tetsuya Higuchi, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification

M. Murakawa, H. Nosato, H. Sakanashi, 2023, ICPRAM.

Pattern recognition system using evolvable hardware

H. Iba, T. Higuchi, M. Iwata, 2000, Syst. Comput. Jpn..

Data Compression Based on Evolvable Hardware

Mehrdad Salami, Tetsuya Higuchi, Masahiro Murakawa, 1996, ICES.

Ultimately accurate SRAF replacement for practical phases using an adaptive search algorithm based on the optimal gradient method

Soichi Inoue, Shigeki Nojima, Tetsuaki Matsunawa, 2010, Advanced Lithography.