Summary of four signal detection algorithms. by Wangyu Ye (17616256)

Computational and resource efficiency of different algorithms. by Rui Li (4631)

The accuracy of different algorithms for TMD on SHL and HTC datasets. by Rui Li (4631)

F1-Score of different algorithms for TMD on SHL dataset. by Rui Li (4631)

F1-Score of different algorithms for TMD on HTC dataset. by Rui Li (4631)

Separation of political and natural events by word-to-tweet bipartite graphs. by Alon Sela (12231559)

Solid-State Nanopore Sensors: Analyte Quantification by Event Frequency Analysis at High Voltages by Julia Järlebark (14601273)

Subjects:

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

“…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …”

Comparison of periodicity of selected clock mutants. by Julian Bigge (22331861)

Table 1_An in-depth exploration of the association between olanzapine, quetiapine and acute pancreatitis based on real-world datasets and network toxicology analysis.docx by Shuang Wang (46453)

“…First, the reports of antipsychotics were extracted from the US FDA Adverse Event Reporting System (FAERS), and the signals of AP were detected by four pharmacovigilance algorithms. …”

Table 2_An in-depth exploration of the association between olanzapine, quetiapine and acute pancreatitis based on real-world datasets and network toxicology analysis.docx by Shuang Wang (46453)

“…First, the reports of antipsychotics were extracted from the US FDA Adverse Event Reporting System (FAERS), and the signals of AP were detected by four pharmacovigilance algorithms. …”

Table 4_An in-depth exploration of the association between olanzapine, quetiapine and acute pancreatitis based on real-world datasets and network toxicology analysis.xls by Shuang Wang (46453)

“…First, the reports of antipsychotics were extracted from the US FDA Adverse Event Reporting System (FAERS), and the signals of AP were detected by four pharmacovigilance algorithms. …”

Table 3_An in-depth exploration of the association between olanzapine, quetiapine and acute pancreatitis based on real-world datasets and network toxicology analysis.xlsx by Shuang Wang (46453)

“…First, the reports of antipsychotics were extracted from the US FDA Adverse Event Reporting System (FAERS), and the signals of AP were detected by four pharmacovigilance algorithms. …”

Table 5_An in-depth exploration of the association between olanzapine, quetiapine and acute pancreatitis based on real-world datasets and network toxicology analysis.xlsx by Shuang Wang (46453)

“…First, the reports of antipsychotics were extracted from the US FDA Adverse Event Reporting System (FAERS), and the signals of AP were detected by four pharmacovigilance algorithms. …”

Table 1_Immune checkpoint inhibitor-associated autoimmune encephalitis and other neurological immune-mediated adverse events: a pharmacovigilance study using the FAERS and JADER.do... by Xiaomeng Di (15270073)

“…ICIs, including pembrolizumab, nivolumab, atezolizumab, ipilimumab, and durvalumab, were identified among the top 30 agents in both databases, demonstrating significant signals across all 4 algorithms. Except for noninfectious myelitis, acute disseminated encephalomyelitis, and multiple sclerosis, positive signals were detected in all other preferred terms (PTs). …”

MPU-rPPG Sample Dataset by William Chen (21564176)

“…The versatility of the MPU-rPPG dataset enables applications from daily health tracking to advanced early-warning systems in professional settings, such as hospitals, driver fatigue monitoring, and detection of heart rate anomalies during endurance events like marathons. …”

A Four-Wavelength Photoplethysmography dataset for non-invasive hemoglobin assessment by Liang yongbo (4822017)

“…（<b>2023</b>）<a href="https://www.frontiersin.org/articles/10.3389/fphys.2023.1072273/full" target="_blank"><b>Link</b></a></p><p dir="ltr">[3] <b>Yongbo Liang</b>, Shimin Yin, Qunfeng Tang, Zhenyu Zheng, Mohamed Elgendi* and Zhencheng Chen*. Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals. …”

Figure 3 from Chromothripsis-Mediated Small Cell Lung Carcinoma by Natasha Rekhtman (15014156)

“…<b>B,</b> CN log ratio plots from the FACETS algorithm displaying the distinctive oscillating CN states on chromosomes with chromothripsis. …”

the EBGM rankings of the afatinib' PTs by Zhaoyi Lu (20112228)

“…All AEs are calculated by four algorithms—ROR, PRR, BCPNN, and EBGM—and significant ADRs are detected. …”