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2020 – today
- 2024
[c21]Kota Mochida, Teppei Nakano, Shinya Fujie, Mari Wakabayashi, Tomomi Sato, Tetsuji Ogawa:
Exploring Robust and Explainable Design for Facial Expression-Based Emotional State Estimation in Children with Profound Intellectual Multiple Disabilities. EUSIPCO 2024: 481-485- [c20]Haruki Konii, Teppei Nakano, Yasumasa Miyazawa, Tetsuji Ogawa:
Leveraging Data from Vast Unexplored Seas: Positive Unlabeled Learning for Refining Prediction Area in Good Fishing Ground Prediction. ICPR (10) 2024: 143-158 - 2023
- [c19]Yuta Ide, Naohiro Tawara, Susumu Saito, Teppei Nakano, Tetsuji Ogawa:
Voice or Content? - Exploring Impact of Speech Content on Age Estimation from Voice. EUSIPCO 2023: 221-225 - [i4]Ryosuke Hyodo, Susumu Saito, Teppei Nakano, Makoto Akabane, Ryoichi Kasuga, Tetsuji Ogawa:
Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle. CoRR abs/2301.03926 (2023) - [i3]Ryosuke Hyodo, Teppei Nakano, Tetsuji Ogawa:
Deep Multi-stream Network for Video-based Calving Sign Detection. CoRR abs/2302.08493 (2023) - 2022
- [c18]Ryo Yanagisawa, Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, Tetsuji Ogawa:
PostMe: Unsupervised Dynamic Microtask Posting For Efficient and Reliable Crowdsourcing. IEEE Big Data 2022: 4049-4054 - [c17]Yuta Ide, Susumu Saito, Teppei Nakano, Tetsuji Ogawa:
Can Humans Correct Errors From System? Investigating Error Tendencies in Speaker Identification Using Crowdsourcing. INTERSPEECH 2022: 5100-5104 - 2021
- [c16]Susumu Saito, Yuta Ide, Teppei Nakano, Tetsuji Ogawa:
VocalTurk: Exploring Feasibility of Crowdsourced Speaker Identification. Interspeech 2021: 1723-1727 - 2020
- [c15]Koki Madono, Teppei Nakano, Tetsunori Kobayashi, Tetsuji Ogawa:
Efficient Human-In-The-Loop Object Detection using Bi-Directional Deep SORT and Annotation-Free Segment Identification. APSIPA 2020: 1226-1233 - [c14]Ryosuke Hyodo, Teppei Nakano, Tetsuji Ogawa:
Feature Representation Learning for Calving Detection of Cows Using Video Frames. ICPR 2020: 4131-4136 - [c13]Yusuke Okimoto, Soshi Kawata, Susumu Saito, Teppei Nakano, Tetsuji Ogawa:
Crowdsourced Verification for Operating Calving Surveillance Systems at an Early Stage. ICPR 2020: 4356-4362 - [c12]Yuriko Kawano, Susumu Saito, Teppei Nakano, Ikumi Kondo, Ryota Yamazaki, Hiromi Kusaka, Minoru Sakaguchi, Tetsuji Ogawa:
Toward Building a Data-Driven System For Detecting Mounting Actions of Black Beef Cattle. ICPR 2020: 4458-4464 - [i2]Masaya Morinaga, Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, Tetsuji Ogawa:
Exploring Effectiveness of Inter-Microtask Qualification Tests in Crowdsourcing. CoRR abs/2012.10999 (2020)
2010 – 2019
- 2019
- [j5]Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham:
Predicting the Working Time of Microtasks Based on Workers' Perception of Prediction Errors. Hum. Comput. 6: 192-219 (2019) - [c11]Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham:
MicroLapse: Measuring Workers' Leniency to Prediction Errors of Microtasks' Working Times. CSCW Companion 2019: 352-356 - [c10]Susumu Saito, Chun-Wei Chiang
, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham:
TurkScanner: Predicting the Hourly Wage of Microtasks. WWW 2019: 3187-3193 - [i1]Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham:
TurkScanner: Predicting the Hourly Wage of Microtasks. CoRR abs/1903.07032 (2019) - 2016
- [c9]Susumu Saito, Tetsunori Kobayashi, Teppei Nakano:
Towards a Framework for Collaborative Video Surveillance System Using Crowdsourcing. CSCW Companion 2016: 393-396 - [c8]Susumu Saito, Teppei Nakano, Makoto Akabane, Tetsunori Kobayashi:
Evaluation of Collaborative Video Surveillance Platform: Prototype Development of Abandoned Object Detection. ICDSC 2016: 172-177
2000 – 2009
- 2008
- [c7]Teppei Nakano:
Flexible shortcuts: designing a new speech user interface for command execution. CHI Extended Abstracts 2008: 2621-2624 - [c6]Teppei Nakano, Tomoyuki Kumai, Tetsunori Kobayashi, Yasushi Ishikawa:
Design and formulation for speech interface based on flexible shortcuts. INTERSPEECH 2008: 2474-2477 - 2007
- [c5]Teppei Nakano, Shinya Fujie, Tetsunori Kobayashi:
Extensible speech recognition system using proxy-agent. ASRU 2007: 601-606 - 2006
- [j4]Teppei Nakano, Takashi Morie, Hideaki Ishizu, Hiroshi Ando, Atsushi Iwata:
FPGA Implementation of Resistive-Fuse Networks for Coarse Image-Region Segmentation. Intell. Autom. Soft Comput. 12(3): 307-316 (2006) - [j3]Osamu Nomura, Takashi Morie, Keisuke Korekado, Teppei Nakano, Masakazu Matsugu, Atsushi Iwata:
An Image-Filtering LSI Processor Architecture for Face/Object Recognition Using a Sorted Projection-Field Model Based on a Merged/Mixed Analog-Digital Architecture. IEICE Trans. Electron. 89-C(6): 781-791 (2006) - [c4]Teppei Nakano, Shinya Fujie, Tetsunori Kobayashi:
MONEA: Message-oriented Networked-robot Architecture. ICRA 2006: 194-199 - 2005
- [j2]Teppei Nakano, Takashi Morie, Makoto Nagata, Atsushi Iwata:
A Cellular-Automaton-Type Region Extraction Algorithm and its FPGA Implementation. J. Robotics Mechatronics 17(4): 378-386 (2005) - [c3]Teppei Nakano, Takashi Morie:
A digital LSI architecture of elastic graph matching and its FPGA implementation. IJCNN 2005: 689-694 - 2004
- [j1]Keisuke Korekado, Takashi Morie, Osamu Nomura, Hiroshi Ando, Teppei Nakano, Masakazu Matsugu, Atsushi Iwata:
A VLSI convolutional neural network for image recognition using merged/mixed analog-digital architecture. J. Intell. Fuzzy Syst. 15(3-4): 173-179 (2004) - 2003
- [c2]Keisuke Korekado, Takashi Morie, Osamu Nomura, Hiroshi Ando, Teppei Nakano, Masakazu Matsugu, Atsushi Iwata:
A Convolutional Neural Network VLSI for Image Recognition Using Merged/Mixed Analog-Digital Architecture. KES 2003: 169-176 - 2002
- [c1]Teppei Nakano, Takashi Morie, Makoto Nagata, Atsushi Iwata:
A cellular-automaton-type image extraction algorithm and its implementation using an FPGA. APCCAS (2) 2002: 197-200
Coauthor Index
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