Search Results - "Unsupervised Machine Learning Algorithm"

Delineating three distinct spatiotemporal patterns of brain atrophy in Parkinson's disease by Sakato, Yusuke, Shima, Atsushi, Terada, Yuta, Takeda, Kiyoaki, Sakamaki-Tsukita, Haruhi, Nishida, Akira, Yoshimura, Kenji, Wada, Ikko, Furukawa, Koji, Kambe, Daisuke, Togo, Hiroki, Mukai, Yohei, Sawamura, Masanori, Nakanishi, Etsuro, Yamakado, Hodaka, Fushimi, Yasutaka, Okada, Tomohisa, Takahashi, Yuji, Nakamoto, Yuji, Takahashi, Ryosuke, Hanakawa, Takashi, Sawamoto, Nobukatsu

“…The clinical manifestation of Parkinson's disease exhibits significant heterogeneity in the prevalence of non-motor symptoms and the rate of progression of…”
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Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach by Xia, Huosong, Weng, Juan, Boubaker, Sabri, Zhang, Zuopeng, Jasimuddin, Sajjad M.

“…The paper examines whether the structure of the risk factor disclosure in an IPO prospectus helps explain the cross-section of first-day returns in a sample of…”
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Single‐cell protein profiling defines cell populations associated with triple‐negative breast cancer aggressiveness by Kvokačková, Barbora, Fedr, Radek, Kužílková, Daniela, Stuchlý, Jan, Vávrová, Adéla, Navrátil, Jiří, Fabian, Pavel, Ondruššek, Róbert, Ovesná, Petra, Remšík, Ján, Bouchal, Jan, Kalina, Tomáš, Souček, Karel

“…Triple‐negative breast cancer (TNBC) is an aggressive and complex subtype of breast cancer that lacks targeted therapy. TNBC manifests characteristic,…”
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Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study by Argyris, Young Anna, Monu, Kafui, Tan, Pang-Ning, Aarts, Colton, Jiang, Fan, Wiseley, Kaleigh Anne

“…Despite numerous counteracting efforts, antivaccine content linked to delays and refusals to vaccinate has grown persistently on social media, while only a few…”
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Exploring Wetland Dynamics in Large River Floodplain Systems with Unsupervised Machine Learning: A Case Study of the Dongting Lake, China by Jing, Lei, Zhou, Yan, Zeng, Qing, Liu, Shuguang, Lei, Guangchun, Lu, Cai, Wen, Li

“…Large river floodplain systems (LRFS) are among the most diverse and dynamic ecosystems. Accurately monitoring the dynamics of LRFS over long time series is…”
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UNSUPERVISED MACHINE LEARNING FOR SEISMIC ANOMALY DETECTION: ISOLATION FOREST ALGORITHM APPLICATION TO INDONESIAN EARTHQUAKE DATA by Airlangga, Gregorius

“…Indonesia's position on the seismically active Pacific "Ring of Fire" necessitates advanced methods for earthquake detection and preparedness. This paper…”
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Combine unsupervised learning and heuristic rules to annotate organism morphological descriptions by Cui, Hong, Singaram, Sriramu, Janning, Alyssa

“…Biodiversity literature is a comprehensive compilation of information on living organisms and fossils. Rich factual information on characteristics of organisms…”
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Effectiveness of Confidentiality-Preserving Clustering Algorithms for Soft Failure Detection in Optical Networks by Yeganehfallah, Azarm, Sgambelluri, Andrea, Pacini, Alessandro, Valcarenghi, Luca, Silva, Moises Felipe

“…The implementation of zero-touch network and service management solutions in software defined optical networks requires the elaboration of detailed optical…”
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Intrusion Detection System Using Computationally Efficient SVM based on K-Prototype Clustering by Reddy Athipalli, Bharath Kumar, K, Gargee S, Kancharla, Sai Ruthwik, R, Krishna Prasad T

“…Intrusion Detection Systems (IDS) are crucial to the safety of a network because it allows the IT personnel to be warned about suspicious activity and…”
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Convolutional Analysis Operator Learning: Acceleration and Convergence by Chun, Il Yong, Fessler, Jeffrey A.

“…Convolutional operator learning is gaining attention in many signal processing and computer vision applications. Learning kernels has mostly relied on…”
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Anomaly detection using unsupervised machine learning algorithms: A simulation study by Agyemang, Edmund Fosu

“…This study presents a comprehensive evaluation of five prominent unsupervised machine learning anomaly detection algorithms: One-Class Support Vector Machine…”
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Improving Clinical Preparedness: Community Health Nurses and Early Hypoglycemia Prediction in Type 2 Diabetes Using Hybrid Machine Learning Techniques by Gaikwad, Sachin Ramnath, Bontha, Mallikarjun Reddy, Devi, Seeta, Dumbre, Dipali

“…ABSTRACT Objectives The aim of the study was to analyze the data of diabetic patients regarding warning signs of hypoglycemia to predict it at an early stage…”
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Transformational Entrepreneurship and Digital Platforms: A Combination of ISM-MICMAC and Unsupervised Machine Learning Algorithms by Ebrahimi, Pejman, Dustmohammadloo, Hakimeh, Kabiri, Hosna, Bouzari, Parisa, Fekete-Farkas, Mária

“…For many years, entrepreneurs were considered the change agents of their societies. They use their initiative and innovative minds to solve problems and create…”
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Identification of Co-Deregulated Genes in Urinary Bladder Cancer Using High-Throughput Methodologies by Lambrou, George I., Vichos, Kleanthis, Koutsouris, Dimitrios, Zaravinos, Apostolos

“…Although several genes are known to be deregulated in urinary bladder cancer (UBC), the list of candidate prognostic markers has expanded due to the advance of…”
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Unraveling Pattern-Based Mechanics Defining Self-Organized Recurrent Behaviors in a Complex System: A Zebrafish's Calcium Brain-Wide Imaging Example by Hsieh, Fushing, Zheng, Jingyi

“…Data-driven computational methodologies are developed to encode a system's spatiotemporal recording video into a global system-state trajectory, and extract a…”
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Botnet Detection using Machine Learning by Aswathi, K B, Jayadev, S, Krishna, Nandana, Krishnan, Remya, Sarath, Greeshma

“…A bot is a computer that has been affected through a malware infection and can be controlled distantly by a cyber-criminal. The cyber-criminal would be able to…”
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