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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, CCS | 2024-06-06 15:20 |
Fukuoka | West Japan General Exhibition Center AIM | An Efficient Deep Learning Method by Sequential Insertion of Hidden Layers Kentaro Toki, Hidehiro Nakano (Tokyo City Univ.) |
[more] | |
| NLP, CCS | 2024-06-07 14:30 |
Fukuoka | West Japan General Exhibition Center AIM | Distributional properties of latent variables for deep learning classifiers Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) |
[more] | |
| NLP, CCS | 2024-06-07 15:30 |
Fukuoka | West Japan General Exhibition Center AIM | Solving Time-Dependent TSP by Ant Colony Optimization Consisting of Various Types of Ants Haruki Shikata, Hidehiro Nakano (Tokyo City Univ.) |
[more] | |
| NLP, CCS | 2024-06-07 15:55 |
Fukuoka | West Japan General Exhibition Center AIM | Influence of Parameters in Hysteresis Reservoir Computing Kenta Yokoyama, Kenya Jin'no (Tokyo City Univ.) |
[more] | |
| NLP | 2024-05-10 10:55 |
Kagawa | Kagawa Prefecture Social Welfare Center | Analysis of the role of latent variables in image classification in deep learning models Kenya Jin'no, Mizuki Dai, Haruki Wakasa, Hiroki Tamegai (Tokyo City Univ.)  NLP2024-12 |
(To be available after the conference date) [more] | NLP2024-12 pp.58-62 |
| NLP, MSS | 2024-03-13 17:20 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Application of Data Augmentation in Japanese Foundation Models Kazuki Era, Hidehiro Nakano (Tokyo City Univ.) MSS2023-84 NLP2023-136 |
One of the recent topics is data augmentation. Data augmentation is a method of augmenting training data to improve the ... [more] | MSS2023-84 NLP2023-136 pp.66-69 |
| NLP, MSS | 2024-03-14 10:25 |
Misc. | Kikai-Shinko-Kaikan Bldg. | A Particle Swarm Optimizer Based on Chaotic Spiking Oscillators with Dynamic Thresholds for Velocity Vectors Ahmed Ali, Hidehiro Nakano (Tokyo City Univ.) MSS2023-87 NLP2023-139 |
Particle Swarm Optimization (PSO) is a metaheuristic algorithm known for solving complex optimization problems. Despite ... [more] | MSS2023-87 NLP2023-139 pp.77-82 |
| NLP, MSS | 2024-03-14 10:50 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Fake Image Detection Focused on Local Regions Takumi Owada, Kenya Jinno (Tokyo City Univ.) MSS2023-88 NLP2023-140 |
We Propose a novel method for detection of images generated by Diffusion Models. We also investigate the attention of ou... [more] | MSS2023-88 NLP2023-140 pp.83-86 |
| NLP, MSS | 2024-03-14 15:15 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Zero-shot class separation degree of the feature extractor Chisato Takahashi, Kenya Jin'no (Tokyo City Univ.) MSS2023-95 NLP2023-147 |
Network Architecture Search (NAS) is a method to automatically search for the optimal structure of a neural network. Sin... [more] | MSS2023-95 NLP2023-147 pp.115-118 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 09:00 |
Tokushima | Naruto University of Education | The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45 |
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] | NLP2023-99 MICT2023-54 MBE2023-45 pp.78-81 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 10:50 |
Tokushima | Naruto University of Education | Analysis of CNN Feature Extraction with Emphasis on Frequency Domain Sora Togawa, Kenya Jin'no (Tokyo City Univ.) NLP2023-104 MICT2023-59 MBE2023-50 |
[more] | NLP2023-104 MICT2023-59 MBE2023-50 pp.98-101 |
| SIP, IT, RCS | 2024-01-18 15:20 |
Miyagi | (Primary: On-site, Secondary: Online) |
Detection Probability of RPACH for UE with High-Speed Movement in NR Uplink Masaharu Nakajima, Ryota Kuribayashi, Mamoru Sawahashi (Tokyo City Univ.), Satoshi Suyama (NTT DOCOMO) IT2023-44 SIP2023-77 RCS2023-219 |
This paper presents miss detection probability (MDP) of Physical Random Access Channel (PRACH) with a short sequence for... [more] | IT2023-44 SIP2023-77 RCS2023-219 pp.70-75 |
| SIP, IT, RCS | 2024-01-18 16:45 |
Miyagi | (Primary: On-site, Secondary: Online) |
Performance of PSA-EKF Phase Noise Compensation in Phase Noise Model with 1/f Noise for OFDM Backhaul Links Naoto Toyota, Ryota Kuribayashi, Mamoru Sawahashi (Tokyo City Univ.) IT2023-53 SIP2023-86 RCS2023-228 |
[more] | IT2023-53 SIP2023-86 RCS2023-228 pp.121-126 |
| SIP, IT, RCS | 2024-01-18 17:10 |
Miyagi | (Primary: On-site, Secondary: Online) |
Study on Decision-Feedback Symbol Generation of Pilot Symbol Assisted-EKF Phase Noise Compensation for OFDM Yoshiki Mori, Ryota Kuribayashi, Mamoru Sawahashi (Tokyo City Univ.) IT2023-54 SIP2023-87 RCS2023-229 |
[more] | IT2023-54 SIP2023-87 RCS2023-229 pp.127-132 |
| NS, RCS (Joint) |
2023-12-14 17:55 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Study on Physical-Layer Cell ID Detection Using Accurate PSS Detection and CFO Estimation for DFT-Spread OFDM Shun Yoneda, Mamoru Sawahashi (Tokyo City Univ.), Satoshi Nagata, Satoshi Suyama (NTT DOCOMO) RCS2023-190 |
[more] | RCS2023-190 pp.64-69 |
| AP (2nd) |
2023-12-07 10:40 |
Wakayama | Kiboukan (Nanki Shirahama) | Simulation evaluation of the influence of metal support and glass support on antenna gain probe measurements Takuichi Hirano (Tokyo City Univ.) |
[more] | |
| SP, NLC, IPSJ-SLP, IPSJ-NL [detail] | 2023-12-02 13:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Effectiveness of Signal Compression in Speech Enhancement with Diffusion Models Yuki Nishi (Titech), Koji Iwano (Tokyo City Univ.), Koichi Shinoda (Titech) NLC2023-14 SP2023-34 |
(To be available after the conference date) [more] | NLC2023-14 SP2023-34 pp.1-6 |
| NLP | 2023-11-28 10:50 |
Okinawa | Nago city commerce and industry association | Investigation of differences in latent variable space for different datasets in Sentence-BERT's image generation model Masato Izumi, Kenya Jin'no (Tokyo City Univ.) NLP2023-61 |
We have verified the degree to which sentence vectors, which are distributed representations of sentences generated by S... [more] | NLP2023-61 pp.11-14 |
| NLP | 2023-11-28 13:50 |
Okinawa | Nago city commerce and industry association | Considerations on the distribution of latent variables in CNNs Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65 |
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] | NLP2023-65 pp.31-34 |
| NC, MBE (Joint) |
2023-11-27 10:30 |
Osaka | Kindai Univ. (Primary: On-site, Secondary: Online) |
Improving the reproduction of animal intelligence using reinforcement learning with World Model Takumi Fukaya, Hirokazu Tanaka (Tokyo City Univ.) NC2023-34 |
One way to evaluate artificial intelligence models that reproduce animal intelligence is to have reinforcement learning ... [more] | NC2023-34 pp.6-9 |
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