Seizure Prediction & Segmentation Merge Yielding a Boosted Low Power Model. - Ingy Alaa; Nourhan Ahmed; Mostafa Nader; Abdelrahman Magdy; Mohamed Ibrahim; Michael Khalil; Michael H. Zakhari; Hassan Mostafa (ICM, 2019)

The Community Participation in the Design Process of Livable Streets. - Nourhan Ahmed; Abeer Elshater; Samy Afifi (InterSol, 2019)

Forecasting Irregularly Sampled Time Series using Graphs. - Vijaya Krishna Yalavarthi; Kiran Madusudanan; Randolf Scholz; Nourhan Ahmed; Johannes Burchert; Shayan Jawed; Stefan Born; Lars Schmidt-Thieme (CoRR, 2023)

Sparse self-attention guided generative adversarial networks for time-series generation. - Nourhan Ahmed; Lars Schmidt-Thieme (Int. J. Data Sci. Anal., 2023)

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. - Vijaya Krishna Yalavarthi; Kiran Madhusudhanan; Randolf Scholz; Nourhan Ahmed; Johannes Burchert; Shayan Jawed; Stefan Born; Lars Schmidt-Thieme (AAAI, 2024)

Deep Learning-Based Prediction of Daily COVID-19 Cases Using X (Twitter) Data. - Nourhan Ahmed; Sharareh Rostam Niakan Kalhori; Thomas M. Deserno (MIE, 2024)

Learning attentive attribute-aware node embeddings in dynamic environments. - Nourhan Ahmed; Ahmed Rashed; Lars Schmidt-Thieme (Int. J. Data Sci. Anal., 2024)

Structure-aware decoupled imputation network for multivariate time series. - Nourhan Ahmed; Lars Schmidt-Thieme (Data Min. Knowl. Discov., 2024)

Motif-aware Graph Neural Networks for Networked Time Series Imputation. - Nourhan Ahmed; Vijaya Krishna Yalavarthi; Lars Schmidt-Thieme (AAAI, 2025)