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2020 – today
- 2024
[j16]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
Attention-guided LiDAR segmentation and odometry using image-to-point cloud saliency transfer. Multim. Syst. 30(4): 188 (2024)- [j15]Takaaki Sugino
, Shinya Onogi, Rieko Oishi, Chie Hanayama, Satoki Inoue, Shinjiro Ishida, Yuhang Yao, Nobuhiro Ogasawara, Masahiro Murakawa, Yoshikazu Nakajima:
Investigation of Appropriate Scaling of Networks and Images for Convolutional Neural Network-Based Nerve Detection in Ultrasound-Guided Nerve Blocks. Sensors 24(11): 3696 (2024) - 2023
- [c62]Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa:
MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis. ICPRAM (Revised Selected Papers) 2023: 49-68 - [c61]Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa:
Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification. ICPRAM 2023: 619-628 - [c60]Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi:
Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis. ISBI 2023: 1-5 - [i4]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer. CoRR abs/2308.14332 (2023) - 2022
- [j14]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks. Image Vis. Comput. 120: 104395 (2022) - [j13]Takumi Yamaguchi, Masahiro Murakawa:
Mixup gamblers+: Learning interpolated pseudo "uncertainty" in latent feature space for reliable inference. Pattern Recognit. Lett. 164: 191-199 (2022) - [c59]Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi:
Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image Analysis. AAAI Spring Symposium: MAKE 2022 - [c58]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
SalLiDAR: Saliency Knowledge Transfer Learning for 3D Point Cloud Understanding. BMVC 2022: 584 - 2021
- [c57]Takumi Yamaguchi, Masahiro Murakawa:
Mixup Gamblers: Learning to Abstain with Auto-Calibrated Reward for Mixed Samples. ICANN (2) 2021: 287-294 - [c56]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection. MLSP 2021: 1-6 - [c55]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
FBNet: FeedBack-Recursive CNN for Saliency Detection. MVA 2021: 1-5 - [c54]Shogo Takaoka, Takuya Kitamura, Aiga Suzuki, Masahiro Murakawa:
Initialization Method of Batch Uniformization Auto Encoder by Principal Component Analysis. SSCI 2021: 1-6 - [i3]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks. CoRR abs/2112.03731 (2021) - 2020
- [j12]Jiaxing Ye, Takumi Kobayashi, Xiaoyan Wang, Hiroshi Tsuda, Masahiro Murakawa:
Audio Data Mining for Anthropogenic Disaster Identification: An Automatic Taxonomy Approach. IEEE Trans. Emerg. Top. Comput. 8(1): 126-136 (2020) - [c53]Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi:
Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks. ICIP 2020: 1931-1935 - [c52]Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi:
Explainable Feature Embedding using Convolutional Neural Networks for Pathological Image Analysis. ICPR 2020: 4560-4565 - [c51]Fumito Ebuchi, Aiga Suzuki, Masahiro Murakawa:
Improved Subspace Method for Supervised Anomaly Detection with Minimal Anomalous Data. ICPRAM 2020: 151-158
2010 – 2019
- 2019
- [c50]Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi:
Prototype-Based Interpretation of Pathological Image Analysis by Convolutional Neural Networks. ACPR (2) 2019: 640-652 - [c49]Jia Qu, Nobuyuki Hiruta, Kensuke Terai, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi:
Enhanced Deep Learning for Pathology Image Classification: A Knowledge Transfer based Stepwise Fine-tuning Scheme. BIOIMAGING 2019: 92-99 - [c48]Jia Qu, Nobuyuki Hiruta, Kensuke Terai, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi:
Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural Networks. BIOSTEC (Selected Papers) 2019: 105-119 - [c47]Mao Saeki, Jun Ogata, Masahiro Murakawa, Tetsuji Ogawa:
Visual explanation of neural network based rotation machinery anomaly detection system. ICPHM 2019: 1-4 - [c46]Kazuki Uehara, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi:
Object Detection in Satellite Images Based on Active Learning Utilizing Visual Explanation. ISPA 2019: 27-31 - 2018
- [j11]Jiaxing Ye, Takumi Kobayashi, Masaya Iwata, Hiroshi Tsuda, Masahiro Murakawa:
Computerized Hammer Sounding Interpretation for Concrete Assessment with Online Machine Learning. Sensors 18(3): 833 (2018) - [c45]Takanori Hasegawa, Jun Ogata, Masahiro Murakawa, Tetsuji Ogawa:
Tandem Connectionist Anomaly Detection: Use of Faulty Vibration Signals in Feature Representation Learning. ICPHM 2018: 1-7 - [c44]Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa, Hidenori Sakanashi, Hirokazu Nosato, Toru Kouyama, Ryosuke Nakamura:
Object Detection in Satellite Imagery Using 2-Step Convolutional Neural Networks. IGARSS 2018: 1268-1271 - [i2]Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa, Hidenori Sakanashi, Hirokazu Nosato, Toru Kouyama, Ryosuke Nakamura:
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks. CoRR abs/1808.02996 (2018) - 2017
- [j10]Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa, Hiroshi Aoki, Ken Takeuchi, Yasuo Suzuki:
Image Retrieval Method for Multiscale Objects from Optical Colonoscopy Images. Int. J. Biomed. Imaging 2017: 7089213:1-7089213:13 (2017) - [c43]Jiaxing Ye, Takumi Kobayashi, Hiroshi Tsuda, Masahiro Murakawa:
Discriminant kernel learning for acoustic scene classification with multiple observations. EUSIPCO 2017: 1824-1828 - [c42]Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa, Hiroki Miyamoto, Ryosuke Nakamura:
Object detection of satellite images using multi-channel higher-order local autocorrelation. SMC 2017: 1339-1344 - [i1]Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa, Hiroki Miyamoto, Ryosuke Nakamura:
Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation. CoRR abs/1707.09099 (2017) - 2015
- [c41]Yohei Akiyama, Yuji Kasai, Masaya Iwata, Eiichi Takahashi, Fumiaki Sato, Masahiro Murakawa:
Anomaly Detection of Solar Power Generation Systems Based on the Normalization of the Amount of Generated Electricity. AINA 2015: 294-301 - [c40]Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa:
Method of retrieving multi-scale objects from optical colonoscopy images based on image-recognition techniques. BioCAS 2015: 1-4 - [c39]Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa:
A content-based image retrieval method for optical colonoscopy images based on image recognition techniques. Medical Imaging: Computer-Aided Diagnosis 2015: 94141E - [c38]Jiaxing Ye, Takumi Kobayashi, Masahiro Murakawa, Tetsuya Higuchi:
Acoustic Scene Classification based on Sound Textures and Events. ACM Multimedia 2015: 1291-1294 - 2014
- [c37]Jiaxing Ye, Takumi Kobayashi, Masahiro Murakawa, Tetsuya Higuchi:
Robust acoustic feature extraction for sound classification based on noise reduction. ICASSP 2014: 5944-5948 - [c36]Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa:
An objective evaluation method of ulcerative colitis with optical colonoscopy images based on higher order local auto-correlation features. ISBI 2014: 89-92 - 2013
- [c35]Erzhong Hu, Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa:
A modified anomaly detection method for capsule endoscopy images using non-linear color conversion and Higher-order Local Auto-Correlation (HLAC). EMBC 2013: 5477-5480 - [c34]Jiaxing Ye, Takumi Kobayashi, Masahiro Murakawa, Tetsuya Higuchi:
Kernel discriminant analysis for environmental sound recognition based on acoustic subspace. ICASSP 2013: 808-812 - [c33]Jiaxing Ye, Takumi Kobayashi, Masahiro Murakawa, Tetsuya Higuchi:
Incremental acoustic subspace learning for voice activity detection using harmonicity-based features. INTERSPEECH 2013: 695-699 - [c32]Masaya Iwata, Yuji Kasai, Eiichi Takahashi, Masahiro Murakawa:
A Malfunction Detection Method for Individual Photovoltaic Modules. SMARTGREENS 2013: 179-184 - 2012
- [j9]Hirokazu Nosato, Tsukasa Kurihara, Hidenori Sakanashi, Masahiro Murakawa, Takumi Kobayashi, Tatsumi Furuya, Tetsuya Higuchi, Nobuyuki Otsu, Kensuke Terai, Nobuyuki Hiruta:
An Extended Method of Higher-order Local Autocorrelation Feature Extraction for Classification of Histopathological Images. Inf. Media Technol. 7(1): 281-291 (2012) - [c31]Erzhong Hu, Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa:
Anomaly detection for capsule endoscopy images using higher-order Local Auto Correlation features. SMC 2012: 2289-2293 - 2011
- [j8]Hirokazu Nosato, Tsukasa Kurihara, Hidenori Sakanashi, Masahiro Murakawa, Takumi Kobayashi, Tatsumi Furuya, Tetsuya Higuchi, Nobuyuki Otsu, Kensuke Terai, Nobuyuki Hiruta:
An Extended Method of Higher-order Local Autocorrelation Feature Extraction for Classification of Histopathological Images. IPSJ Trans. Comput. Vis. Appl. 3: 211-221 (2011)
2000 – 2009
- 2009
- [c30]Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa, Tetsuya Higuchi, Nobuyuki Otsu, Kensuke Terai, Nobuyuki Hiruta, Noriaki Kameda:
Histopathological Diagnostic Support Technology Using Higher-Order Local Autocorrelation Features. BLISS 2009: 61-65 - [c29]Fumio Sakabe, Masahiro Murakawa, Takumi Kobayashi, Tetsuya Higuchi, Nobuyuki Otsu:
Anomalousness Detection for Surgery Videos Using CHLAC Feature. BLISS 2009: 66-68 - 2008
- [c28]Hirotaka Nosato, Yukari Ishida, Tatsumi Furuya, Eiichi Takahashi, Masahiro Murakawa, Isamu Kajitani, Tetsuya Higuchi:
World-Wide Accessible LDPC Encoder/Decoder Generator Using Web-Based GUI and API. CIMCA/IAWTIC/ISE 2008: 627-632 - [c27]Tatsuya Susa, Masahiro Murakawa, Eiichi Takahashi, Tatsumi Furuya, Tetsuya Higuchi:
Post-Fabrication Clock-Timing Adjustment for Digital LSIs Ensuring Operational Timing Margins. HIS 2008: 907-910 - [c26]Yukari Ishida, Hirotaka Nosato, Eiichi Takahashi, Masahiro Murakawa, Isamu Kajitani, Tatsumi Furuya, Tetsuya Higuchi:
Proposal for LDPC Code Design System Using Multi-Objective Optimization and FPGA-Based Emulation. ICES 2008: 237-248 - 2007
- [c25]Tetsuaki Matsunawa, Hirokazu Nosato, Hidenori Sakanashi, Masahiro Murakawa, Eiichi Takahashi, Tsuneo Terasawa, Toshihiko Tanaka, Osamu Suga, Tetsuya Higuchi:
Adaptive Optical Proximity Correction Using an Optimization Method. CIT 2007: 853-860 - [c24]Yosuke Iijima, Masahiro Murakawa, Yuji Kasai, Eiichi Takahashi, Tetsuya Higuchi:
Proposal of transmission line modeling using multi-objective optimization techniques. IEEE Congress on Evolutionary Computation 2007: 2094-2100 - [c23]Nobuharu Murata, Hirokazu Nosato, Tatsumi Furuya, Masahiro Murakawa:
Robust and Efficient Multi-objective Automatic Adjustment for Optical Axes in Laser Systems Using Stochastic Binary Search Algorithm. ICES 2007: 343-354 - 2006
- [j7]Yuji Kasai, Kiyoshi Miyashita, Hidenori Sakanashi, Eiichi Takahashi, Masaya Iwata, Masahiro Murakawa, Kiyoshi Watanabe, Yukihiro Ueda, Kaoru Takasuka, Tetsuya Higuchi:
An Image Rejection Mixer with AI-Based Improved Performance for WCDMA Applications. IEICE Trans. Electron. 89-C(6): 717-724 (2006) - [c22]Hirokazu Nosato, Masahiro Murakawa, Tetsuya Higuchi:
Automatic Alignment of Multiple Optical Components Using Genetic Algorithm. AHS 2006: 67-73 - [p3]Eiichi Takahashi, Yuji Kasai, Masahiro Murakawa, Tetsuya Higuchi:
Post-Fabrication Clock-Timing Adjustment Using Genetic Algorithms. Evolvable Hardware 2006: 65-84 - [p2]Masahiro Murakawa, Yuji Kasai, Hidenori Sakanashi, Tetsuya Higuchi:
Evolvable Analog LSI. Evolvable Hardware 2006: 121-143 - [p1]Hirokazu Nosato, Masahiro Murakawa, Yuji Kasai, Tetsuya Higuchi:
Evolvable Optical Systems. Evolvable Hardware 2006: 199-207 - 2005
- [c21]Masahiro Murakawa, Mitiko Miura-Mattausch, Tetsuya Higuchi:
Towards automatic parameter extraction for surface-potential-based MOSFET models with the genetic algorithm. ASP-DAC 2005: 204-207 - [c20]Yuji Kasai, Eiichi Takahashi, Masaya Iwata, Yosuke Iijima, Hidenori Sakanashi, Masahiro Murakawa, Tetsuya Higuchi:
Adaptive Waveform Control in a Data Transceiver for Multi-speed IEEE1394 and USB Communication. ICES 2005: 198-204 - [c19]Nobuharu Murata, Tatsumi Furuya, Hirokazu Nosato, Masahiro Murakawa:
An Automatic Multi-objective Adjustment System for Optical Axes using Genetic Algorithms. ISDA 2005: 546-551 - 2004
- [j6]Eiichi Takahashi, Yuji Kasai, Masahiro Murakawa, Tetsuya Higuchi:
Post-fabrication clock-timing adjustment using genetic algorithms. IEEE J. Solid State Circuits 39(4): 643-650 (2004) - [j5]Masahiro Murakawa, Yoshihiro Noda, Tetsuya Higuchi:
An automatic fiber alignment system using genetic algorithms. Syst. Comput. Jpn. 35(11): 80-90 (2004) - [c18]Masahiro Murakawa, Eiichi Takahashi, Tatsuya Susa, Tetsuya Higuchi:
Post-fabrication clock timing adjustment for digital LSIs with genetic algorithms ensuring timing margins. SMC (4) 2004: 3670-3674 - [c17]Hirokazu Nosato, Taro Itatani, Masahiro Murakawa, Tetsuya Higuchi, Hitoshi Noguchi:
Automatic wave-front correction of a femtosecond laser using genetic algorithm. SMC (4) 2004: 3675-3679 - 2003
- [j4]Masahiro Murakawa, Toshio Adachi, Yoshihiro Niino, Yuji Kasai, Eiichi Takahashi, Kaoru Takasuka, Tetsuya Higuchi:
An AI-calibrated IF filter: a yield enhancement method with area and power dissipation reductions. IEEE J. Solid State Circuits 38(3): 495-502 (2003) - [c16]Masahiro Murakawa, Hirokazu Nosato, Tetsuya Higuchi:
Automatic Optical Fiber Alignment System Using Genetic Algorithms. Artificial Evolution 2003: 129-140 - [c15]Hirokazu Nosato, Yuji Kasai, Masahiro Murakawa, Taro Itatani, Tetsuya Higuchi:
Automatic adjustments of a femtosecond-pulses laser using genetic algorithms. IEEE Congress on Evolutionary Computation 2003: 2096-2101 - [c14]Eiichi Takahashi, Masahiro Murakawa, Yuji Kasai, Tetsuya Higuchi:
Power Dissipation Reductions with Genetic Algorithms. Evolvable Hardware 2003: 111-116 - 2002
- [c13]Masahiro Murakawa, Toshio Adachi, Yoshihiro Nino, Eiichi Takahashi, Yuji Kasai, Kaoru Takasuka, Tetsuya Higuchi:
An AI-calibrated IF filter: a yield enhancement method with area and power dissipation reductions. CICC 2002: 345-348 - 2001
- [c12]Hirokazu Nosato, Yuji Kasai, Taro Itatani, Masahiro Murakawa, Tatsumi Furuya, Tetsuya Higuchi:
Evolvable Optical Systems and Their Applications. ICES 2001: 327-340 - 2000
- [j3]Masaya Iwata, Isamu Kajitani, Masahiro Murakawa, Yuji Hirao, Hitoshi Iba, Tetsuya Higuchi:
Pattern recognition system using evolvable hardware. Syst. Comput. Jpn. 31(4): 1-11 (2000) - [c11]Neil Marston, Eiichi Takahashi, Masahiro Murakawa, Yuji Kasai, Tetsuya Higuchi, Toshio Adachi, Kaoru Takasuka:
An Evolutionary Approach to GHz Digital Systems. Evolvable Hardware 2000: 125-132 - [c10]Yuji Kasai, Hidenori Sakanashi, Masahiro Murakawa, Shogo Kiryu, Neil Marston, Tetsuya Higuchi:
Initial Evaluation of an Evolvable Microwave Circuit. ICES 2000: 103-112
1990 – 1999
- 1999
- [j2]Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani, Xin Yao, Nobuki Kajihara, Masaya Iwata, Tetsuya Higuchi:
The GRD Chip: Genetic Reconfiguration of DSPs for Neural Network Processing. IEEE Trans. Computers 48(6): 628-639 (1999) - [j1]Tetsuya Higuchi, Masaya Iwata, Didier Keymeulen, Hidenori Sakanashi, Masahiro Murakawa, Isamu Kajitani, Eiichi Takahashi, Kenji Toda, Mehrdad Salami, Nobuki Kajihara, Nobuyuki Otsu:
Real-world applications of analog and digital evolvable hardware . IEEE Trans. Evol. Comput. 3(3): 220-235 (1999) - [c9]Isamu Kajitani, Masahiro Murakawa, Nobuki Kajihara, Masaya Iwata, Hidenori Sakanashi, Tetsuya Higuchi:
Evolvable Hardware Chips for Neural Network Applications. ICANNGA 1999: 127-134 - 1998
- [c8]Masahiro Murakawa, Shuji Yoshizawa, Toshio Adachi, Shiro Suzuki, Kaoru Takasuka, Masaya Iwata, Tetsuya Higuchi:
Analogue EHW Chip for Intermediate Frequency Filters. ICES 1998: 134-143 - [c7]Masahiro Murakawa, Kazuyuki Hiraoka, Tetsuya Higuchi, Tatsumi Furuya, Shuji Yoshizawa:
Adaptive Blind Equalization Using Bottleneck Networks Implemented by Evolvable Hardware. ICONIP 1998: 89-92 - 1997
- [c6]Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani, Tetsuya Higuchi:
On-line Adaptation of Neural Networks with Evolvable Hardware. ICGA 1997: 792-800 - [c5]Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani, Tetsuya Higuchi:
Evolvable Hardware for Generalized Neural Networks. IJCAI 1997: 1146-1155 - 1996
- [c4]Mehrdad Salami, Masahiro Murakawa, Tetsuya Higuchi:
Data Compression Based on Evolvable Hardware. ICES 1996: 169-179 - [c3]Weixin Liu, Masahiro Murakawa, Tetsuya Higuchi:
ATM Cell Scheduling by Function Level Evolvable Hardware. ICES 1996: 180-192 - [c2]Masahiro Murakawa, Shuji Yoshizawa, Tetsuya Higuchi:
Adaptive Equalization of Digital Communication Channels Using Evolvable Hardware. ICES 1996: 379-389 - [c1]Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani, Tatsumi Furuya, Masaya Iwata, Tetsuya Higuchi:
Hardware Evolution at Function Level. PPSN 1996: 62-71
Coauthor Index
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