Search Results - "Koda, Satoru"

Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective by Mochida, Keiichi, Koda, Satoru, Inoue, Komaki, Hirayama, Takashi, Tanaka, Shojiro, Nishii, Ryuei, Melgani, Farid

“…Employing computer vision to extract useful information from images and videos is becoming a key technique for identifying phenotypic changes in plants. Here,…”
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Statistical and Machine Learning Approaches to Predict Gene Regulatory Networks From Transcriptome Datasets by Mochida, Keiichi, Koda, Satoru, Inoue, Komaki, Nishii, Ryuei

“…Statistical and machine learning (ML)-based methods have recently advanced in construction of gene regulatory network (GRNs) based on high-throughput…”
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Diurnal Transcriptome and Gene Network Represented through Sparse Modeling in Brachypodium distachyon by Koda, Satoru, Onda, Yoshihiko, Matsui, Hidetoshi, Takahagi, Kotaro, Yamaguchi-Uehara, Yukiko, Shimizu, Minami, Inoue, Komaki, Yoshida, Takuhiro, Sakurai, Tetsuya, Honda, Hiroshi, Eguchi, Shinto, Nishii, Ryuei, Mochida, Keiichi

“…We report the comprehensive identification of periodic genes and their network inference, based on a gene co-expression analysis and an Auto-Regressive…”
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Spatial and Structured SVM for Multilabel Image Classification by Koda, Satoru, Zeggada, Abdallah, Melgani, Farid, Nishii, Ryuei

“…We describe a novel multilabel classification approach based on a support vector machine (SVM) for the extremely high-resolution remote sensing images. Its…”
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Unsupervised Spectral-Spatial Feature Extraction With Generalized Autoencoder for Hyperspectral Imagery by Koda, Satoru, Melgani, Farid, Nishii, Ryuei

“…In this letter, we discuss unsupervised feature extraction on hyperspectral imagery (HSI) and propose a novel approach based on autoencoder (AE) networks to…”
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Bounding-box Watermarking: Defense against Model Extraction Attacks on Object Detectors by Koda, Satoru, Morikawa, Ikuya

“…Deep neural networks (DNNs) deployed in a cloud often allow users to query models via the APIs. However, these APIs expose the models to model extraction…”
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OOD-Robust Boosting Tree for Intrusion Detection Systems by Koda, Satoru, Morikawa, Ikuya

“…Out-of-distribution (OOD) detection is indispensable to security applications because they are deployed in the real world, and therefore, often face zero-day…”
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Parental legacy and regulatory novelty in Brachypodium diurnal transcriptomes accompanying their polyploidy by Inoue, Komaki, Takahagi, Kotaro, Kouzai, Yusuke, Koda, Satoru, Shimizu, Minami, Uehara-Yamaguchi, Yukiko, Nakayama, Risa, Kita, Toshie, Onda, Yoshihiko, Nomura, Toshihisa, Matsui, Hidetoshi, Nagaki, Kiyotaka, Nishii, Ryuei, Mochida, Keiichi

“…Abstract Polyploidy is a widespread phenomenon in eukaryotes that can lead to phenotypic novelty and has important implications for evolution and…”
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YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection by Zolfi, Alon, Amit, Guy, Baras, Amit, Koda, Satoru, Morikawa, Ikuya, Elovici, Yuval, Shabtai, Asaf

“…Out-of-distribution (OOD) detection has attracted a large amount of attention from the machine learning research community in recent years due to its…”
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Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey by Koda, Satoru, Zolfi, Alon, Grolman, Edita, Shabtai, Asaf, Morikawa, Ikuya, Elovici, Yuval

“…Deep neural networks (DNNs) perform well on samples from the training distribution. However, DNNs deployed in the real world are exposed to out-of-distribution…”
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YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection by Zolfi, Alon, Amit, Guy, Baras, Amit, Koda, Satoru, Morikawa, Ikuya, Elovici, Yuval, Shabtai, Asaf

“…Out-of-distribution (OOD) detection has attracted a large amount of attention from the machine learning research community in recent years due to its…”
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Anomalous IP Address Detection on Traffic Logs Using Novel Word Embedding by Koda, Satoru, Kambara, Yusuke, Oikawa, Takanori, Furukawa, Kazuyoshi, Unno, Yuki, Murakami, Masahiko

“…This paper presents an anomalous IP address detection algorithm for network traffic logs. It is based on word embedding techniques derived from natural…”
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