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2020 – today
- 2024
[j1]Shohei Enomoto
, Monikka Roslianna Busto, Takeharu Eda:
Dynamic Test-Time Augmentation via Differentiable Functions. IEEE Access 12: 149593-149605 (2024)- [c5]Takeharu Eda, Monikka Roslianna Busto, Takuro Udagawa, Naoki Ishihama, Keiichi Tabata, Yoshinori Matsuo, Ikuo Yamasaki:
Technical Challenges for AI in Space Data Centers. IGARSS 2024: 1733-1735 - [c4]Monikka Roslianna Busto, Takeharu Eda, Takuro Udagawa, Tatsuyuki Sekine:
Case-Study: Two-Phase AI Prediction for Onboard Synthetic Aperture Radar (SAR) Data Processing. IGARSS 2024: 7320-7324 - [c3]Monikka Roslianna Busto, Sepehr Nouri, Takeharu Eda:
Parameter and Data Efficient Framework for Lightweight Change Detection. IGARSS 2024: 8767-8771 - [c2]Tatsuyuki Sekine, Akihiro Yamanaka, Takeharu Eda, Takuro Udagawa, Monikka Roslianna Busto:
A GAN-Based SAR-Optical Data Fusion Approach for Enhanced Flood Mapping. IGARSS 2024: 8958-8962 - 2023
- [c1]Haris Gulzar, Monikka Roslianna Busto, Takeharu Eda, Katsutoshi Itoyama, Kazuhiro Nakadai:
miniStreamer: Enhancing Small Conformer with Chunked-Context Masking for Streaming ASR Applications on the Edge. INTERSPEECH 2023: 3277-3281 - [i2]Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda:
Incorporating Supervised Domain Generalization into Data Augmentation. CoRR abs/2310.01029 (2023) - 2022
- [i1]Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda:
AugNet: Dynamic Test-Time Augmentation via Differentiable Functions. CoRR abs/2212.04681 (2022)
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