Source code for data mining from Apache JIRA project. by Susmita Haldar (17707125)

TreeMap 2016 Stand Size Code Field (Image Service) by U.S. Forest Service (17476914)

“…<div>TreeMap 2016 provides a tree-level model of the forests of the conterminous United States.…”

Example gauge chart outputs produced by the M.E.D.V.I.S. algorithm. by Hector Torres (11708207)

“…The corresponding images for each gauge chart are shown alongside. <b>(a)</b> This figure is considered moderately effective by the algorithm. …”

G4SNVHunter workflow for identifying variants that affect G4 formation. by Rongxin Zhang (1618159)

Table_1_Files_Performance by Raquel Quatrini (6161930)

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

“…<p>In the top panel, we show the computation of the Fitness and Complexity algorithm. The Fitness of the entity <i>e</i>₁ is the technological Complexity sum of all the technology done by <i>e</i>₁. …”

Enhancing the Robustness of Vehicle Re-Identification in Intelligent Transportation Systems by Mei Qiu (21081170)

Code and data for evaluating oil spill amount from text-form incident information by Yiming Liu (18823387)

“…<h2>Dataset and Code Description</h2><p dir="ltr">This repository includes the code and data for evaluating oil spill amounts from incident textual information. …”

Low-SAR |B1+| maps. by Maryam Arianpouya (12299222)

Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

“…<p dir="ltr">This thesis bridges the gap between field observations and the empirical understanding of ecological systems by applying AI models at different spatial scales and hierarchical levels to study ecological complexity. The detailed implementation, source code and demo dataset are included in dedicated folders for each chapter.…”

|B1+| and |E| maps using the standard basis. by Maryam Arianpouya (12299222)

Workflow comparison. by Maryam Arianpouya (12299222)

Simulation model and experimental setup. by Maryam Arianpouya (12299222)

MOBHunter by Raquel Quatrini (6161930)

Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. by Daniel Suárez-Barrera (22676654)

Description of data sources. by Gowtham A. Rao (8261928)

“…<div><p>Objective</p><p>This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics.…”

Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. by Daniel Suárez-Barrera (22676654)

Data and codes for the paper "Machine-Learning-Enabled Spatial Pattern Mining: Evaluating the Impact of Imperfect Inputs". by Zhili Li (18836803)

High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch by Andrey Samokhin (20282728)

“…Despite the availability of numerous library search algorithms, those developed by NIST and implemented in MS Search remain predominant, partly because commercial databases (e.g., NIST, Wiley) are distributed in proprietary formats inaccessible to custom code. …”

SpeLL: An Agent for Natural Language-Driven Intelligent Spectral Modeling by Jiashun Fu (20888176)

“…The core strength of SpeLL lies in its dual RAG pathways. The Code RAG provides specialized code knowledge for spectral data analysis, enabling the LLM to generate robust and domain-specific analytical scripts that address the implementation and optimization of algorithms. …”