IRBMO vs. variant comparison adaptation data. by Chenyi Zhu (9383370)

Thesis-RAMIS-Figs_Slides by Felipe Santibañez-Leal (10967991)

“…Importantly, this strategy locates samples adaptively on the transition between facies which improves the performance of conventional \emph{<i>MPS</i>} algorithms. In conclusion, this work shows that preferential sampling can contribute in \emph{<i>MPS</i>} even at very small sampling regimes and, as a corollary, demonstrates that prior models (obtained form a training image) can be used effectively not only to simulate non-sensed variables of the field, but to decide where to measure next.…”

Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png by Minjin Guo (22751300)

“…RSEE projects heterogeneous input data into an exertion-conditioned latent space, aligning model predictions with observed physiological variance and mitigating false positives by explicitly modeling the overlap between athletic remodeling and subclinical pathology.…”

Testing results for classifying AD, MCI and NC. by Nicodemus Songose Awarayi (18414494)

Summary of LITNET-2020 dataset. by Asmaa Ahmed Awad (16726315)

SHAP analysis for LITNET-2020 dataset. by Asmaa Ahmed Awad (16726315)

Comparison of intrusion detection systems. by Asmaa Ahmed Awad (16726315)

Parameter setting for CBOA and PSO. by Asmaa Ahmed Awad (16726315)

NSL-KDD dataset description. by Asmaa Ahmed Awad (16726315)

The architecture of LSTM cell. by Asmaa Ahmed Awad (16726315)

The architecture of ILSTM. by Asmaa Ahmed Awad (16726315)

Parameter setting for LSTM. by Asmaa Ahmed Awad (16726315)

LITNET-2020 data splitting approach. by Asmaa Ahmed Awad (16726315)

Transformation of symbolic features in NSL-KDD. by Asmaa Ahmed Awad (16726315)

Silibinin solubilization: combined effect of co-solvency and inclusion complex formation by Azam Dehghan (18434551)

Generalized Tensor Decomposition With Features on Multiple Modes by Jiaxin Hu (1327875)

“…Unlike unsupervised tensor decomposition, our supervised decomposition captures the effective dimension reduction of the data tensor confined to feature space of interest. An efficient alternating optimization algorithm with provable spectral initialization is further developed. …”

Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease by Zhuoyan Chen (12193358)

Models and Dataset by M RN (9866504)

“…Operating in a binary search space, TJO simulates intelligent and evasive movements of the prey to guide the population toward optimal solutions. …”

30-Meter Resolution Dataset of Abandoned and Reclaimed Croplands in Inner Mongolia, China (2000-2022) by Deji Wuyun (18440981)

Table_1_iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning.docx by Yuan Liu (88411)

“…Afterward, we utilized a two-stage feature space optimization strategy to improve the feature representation ability, and trained a predictive model using support vector machine (SVM). …”