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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SC | 2021-05-28 10:55 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
Ontology and Rule for Repository to Share Knowledge of Deep Learning Architectures Incheon Paik (UoA) |
[more] | |
| SC | 2021-05-28 16:15 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Improving Machine Translation using Sentence Augmentation by GPT-2 Ranto Sawai, Incheon Paik (UoA) |
[more] | |
| SC | 2021-05-28 16:17 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Classification Performance of Special Domain Twitter Message with Deep Learning Word Embeddings Ryoya Ito, Incheon Paik (UoA) |
[more] | |
| SC | 2021-05-28 16:19 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Comparison of Word Representation Methods for Sentiment Classification with Twitter Data Takahiro Yamauchi, Incheon Paik, Cherubin Mugisha (UoA) |
[more] | |
| SC | 2021-05-28 16:21 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Improving Code Generation with Code Graph based on Ontology Jun-Wei Wang, Incheon Paik (UoA) |
[more] | |
| SC | 2021-05-28 16:23 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Comparison of Pre-trained Neural Language modeling pipelines for patient?s outcome prediction from medical text notes. Cherubin Mugisha, Incheon Paik (UoA) |
[more] | |
| SC | 2021-05-28 16:25 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Generation of New Question and Answer using Extracted Ontology and Neural Language Model from SQuAD Data Set Ayato Kuwana, Paik Incheon (UoA) |
[more] | |
| SC | 2021-05-28 16:27 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Evaluation of Few-Shot Learning for Adaptive Classification of GAN-Generated Images Kohei Watanabe, Kungan Zeng, Incheon Paik (UoA) |
[more] | |
| SC | 2021-05-28 16:29 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Dynamic Service Recommendation in Edge Computing by Lightweight BERT-based Service Embedding Kungan Zeng, Incheon Paik (UoA) |
[more] | |
| SC | 2021-05-28 16:31 |
Online | Online and University of Aizu (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Multi-modal Neural Style Transfer Nguyen Quang Tuyen (UoA), Dinh Quang Vinh (VGU), Incheon Paik (UoA) |
[more] | |
| KBSE, SC | 2020-11-13 15:12 |
Online | Online / Kikai-Shinko-Kaikan Bldg. (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Feature Extraction with Triplet Loss to Classify Disease on Leaf Data on Agriculture Using Deep Learning Nguyen Van Ty, Incheon Paik (UoA) |
[more] | |
| KBSE, SC | 2020-11-13 15:22 |
Online | Online / Kikai-Shinko-Kaikan Bldg. (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Automation of Ontology Generation by Pre-trained Language Model Atusi Oba, Ayato Kuwana, Paik Incheon (UoA)  KBSE2020-22 SC2020-26 |
As an initial attempt of ontology generation with neural network, Recurrent Neural Network (RNN) based method is propose... [more] | KBSE2020-22 SC2020-26 p.40 |
| OPE, OCS, LQE | 2020-10-23 17:05 |
Online | Online | Experimental Statistics of Double-pass Free-space Optical Channels using Corner-Cube Retroreflectors Pham Van Thanh (UoA), Trinh Viet Phuc, Alberto Carrasco-Casado, Dimitar Kolev, Hiroo Kunimori, Morio Toyoshima (NICT), Pham Tuan Anh (UoA) OCS2020-22 OPE2020-45 LQE2020-25 |
[more] | OCS2020-22 OPE2020-45 LQE2020-25 pp.72-76 |
| PRMU | 2020-09-02 15:30 |
Online | Online | Evaluation and Analysis of JPEG Compression Effects on CNN-based Camera Model Classification Mai Uchida, Yoichi Tomioka (UoA) PRMU2020-13 |
In order to prevent crimes such as illegal uploading and secret photography, a method to identify the camera that captur... [more] | PRMU2020-13 pp.35-40 |
| SC | 2020-05-29 14:35 |
Online | Online | Automatic Service Composition Based-Deep Learning Architecture Generation Service Incheon Paik, Ryo Ataka (UoA) SC2020-3 |
[more] | SC2020-3 pp.13-18 |
| SC | 2020-05-29 15:00 |
Online | Online | Service Discovery Using Invocation Sequence Learning in Composition with Neural Language Networks Zeng Kungan, Incheon Paik (UoA) |
Service composition can provide value-added services. Such a composition is a kind of abstract sequence, but it works wi... [more] | |
| HWS, VLD [detail] | 2020-03-04 13:25 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
A Study of Dynamic Power Optimization by Latch Insertion for Asynchronous RTL Models Shogo Semba, Hiroshi Saito (UoA) VLD2019-100 HWS2019-73 |
In this paper, we propose a dynamic power optimization method by latch insertion for asynchronous RTL models. In data-pa... [more] | VLD2019-100 HWS2019-73 pp.37-42 |
| HWS, VLD [detail] | 2020-03-04 14:55 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
Gate Sizing for Programmable Delay Elements on Post-Silicon Delay Tuning Kota Muroi, Yukihide Kohira (UoA) VLD2019-103 HWS2019-76 |
Due to progressing process technology, yield of chips is reduced by timing violation caused by delay variation of gates ... [more] | VLD2019-103 HWS2019-76 pp.53-58 |
| HWS, VLD [detail] | 2020-03-06 16:00 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
A Study on Acceleration of Convolution using Bit-serial Dot Product Units with Zero-bit Skipping Sora Isobe, Yoichi Tomioka (UoA) VLD2019-134 HWS2019-107 |
[more] | VLD2019-134 HWS2019-107 pp.233-238 |
| PRMU | 2019-12-19 14:00 |
Oita | Efficient Object Detection for Railway Crossing Combining Image Classification and Object Detection Kaisei Shimura, Yoichi Tomioka, Qiangfu Zhao (UoA) PRMU2019-52 |
In this research, we aim to develop a system to support drivers to prevent accidents when driving an mobility scooter. A... [more] | PRMU2019-52 pp.35-39 |
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