Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Fig 5 - by William A. Romero R. (13783210)

Flowchart depicting the optimal control framework. by Antoine Falisse (6061601)

SPIDER - Synthetic Person Information Dataset for Entity Resolution by Praveen Chinnappa (20835779)

CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science Poster by Geoffrey Fox (8385606)

“…The SPIDAL Scalable Parallel Interoperable Data Analytics Library includes core machine-learning, image processing, and the application communities, Network science, Polar Science, Biomolecular Simulations, Pathology, and Spatial systems. …”

CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science Slide by Geoffrey Fox (8385606)

“…The SPIDAL Scalable Parallel Interoperable Data Analytics Library includes core machine-learning, image processing, and the application communities, Network science, Polar Science, Biomolecular Simulations, Pathology, and Spatial systems. …”

DataSheet1_Identification of novel PHGDH inhibitors based on computational investigation: an all-in-one combination strategy to develop potential anti-cancer candidates.DOCX by Yujing Xu (4978502)

“…The selected pharmacophore model was further validated by test set validation, cost analysis, and Fischer randomization validation and was then used as a 3D query to screen compound libraries with various chemical scaffolds. The estimated activity, drug-likeness, molecular docking, growing scaffold, and molecular dynamics simulation processes were applied in combination to reduce the number of virtual hits.…”

The basic structure of an iDynoMiCS 2.0 model. by Bastiaan J. R. Cockx (18078759)

SPIDER (v2): Synthetic Person Information Dataset for Entity Resolution by Praveen Chinnappa (20835779)

“…<p dir="ltr">SPIDER (v2) – Synthetic Person Information Dataset for Entity Resolution provides researchers with ready-to-use data for benchmarking Duplicate or Entity Resolution algorithms. The dataset focuses on person-level fields typical in customer or citizen records. …”

ChatbotDjango by Muammar, SST, M.Kom (21435692)

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

Relational network prepared by the authoring team. by Lesedi Mamodise Modise (20826978)

Survival regression with accelerated failure time model in XGBoost by Avinash Barnwal (12456071)

“…<p>Survival regression is used to estimate the relation between time-to-event and feature variables, and is important in application domains such as medicine, marketing, risk management and sales management. Nonlinear tree based machine learning algorithms as implemented in libraries such as XGBoost, scikit-learn, LightGBM, and CatBoost are often more accurate in practice than linear models. …”