statistiche ricercatore

Nome	#
Interpretability and interaction learning for logistic regression models	544
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity	477
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics	427
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score	370
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort	334
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences	327
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks	174
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations	41
Learning high-order interactions for polygenic risk prediction	21
Approximation bounds for convolutional neural networks in operator learning	16
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks	12
Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces	5
Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition	3
Totale	2.751

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	80	0	0	0	8	13	8	3	4	6	15	4	19
2021/2022	2.183	14	7	488	86	1.016	270	115	76	37	23	28	23
2022/2023	283	15	18	15	31	36	38	29	18	29	13	24	17
2023/2024	205	22	22	16	11	6	16	26	35	5	23	11	12
Totale													2.751

RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano