Task paradigm and classification algorithm. by Alexander P. Rockhill (6053618)

Comprehensive Dataset for Event Classification Using Distributed Acoustic Sensing (DAS) Systems by Adrian Tomasov (19664054)

“…The dataset, stored in HDF5 format, serves as a critical resource for training machine learning models aimed at event classification in DAS systems. Each event is identified by power spectral density (PSD) representations and labeled accordingly. …”

Classification of road section operation risk levels. by Yongjian Zhang (3986126)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…We evaluate our method on a simple sequence detection task, as well as the Yin-Yang, Spiking Heidelberg Digits, Spiking Speech Commands and Braille letter reading datasets, demonstrating that our algorithm can optimise delays from suboptimal initial conditions and enhance classification accuracy compared to architectures without delays. …”

Number of hashtags with frequency thresholds. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

Key fields and meanings of Weibo. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

Research framework. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

The story tree. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

Storyline nodes. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

Graph of number of Weibo posts versus date. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

Relevant conceptual relationship diagrams. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

RoMLP-AttNet modelling framework. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

Change in loss ratio with rounds. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

Hashtag post number over time. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

Hashtag number varies with density thresholds. by Jinbao Song (18601705)

“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”

Receiver operator characteristic (ROC) curves of the machine learning algorithms. by Yue Lv (549862)

Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" by Pamela Lattanzi (16454871)

A Machine Learning Ecosystem for Filament Detection: Classification, Localization, and Segmentation by Azim Ahmadzadeh (21789602)

“…<p dir="ltr">Over the past decade, object-detection algorithms have achieved remarkable success, but they remain limited when applied to scientific imagery such as telescopic, satellite, and medical images. …”

Table 1_Adverse events in the neonatal intensive care unit identified by triggers.pdf by Fabiana Bragança Albanese (21450395)

“…AE severity was assessed using the Neonatal Adverse Event Severity Scale (NAESS) and the World Health Organization (WHO) classification, while ADR causality was evaluated using the WHO criteria and the algorithm proposed by Du et at. …”

Data Sheet 1_Automated inflammatory bowel disease detection using wearable bowel sound event spotting.pdf by Annalisa Baronetto (20872112)

“…</p>Results<p>Stratified group K-fold cross-validation experiments yielded a mean area under the receiver operating characteristic curve ≥0.83 regardless of whether BS were manually annotated or detected by the BS spotting algorithm.</p>Discussion<p>Automated BS retrieval and our BS event classification approach have the potential to support diagnosis and treatment of patients with IBD.…”