Acute Hypertensive Episodes Prediction. - Nevo Itzhak; Aditya Nagori; Edo Lior; Maya Schvetz; Rakesh Lodha; Tavpritesh Sethi; Robert Moskovitch (AIME, 2020)

Classification of Univariate Time Series via Temporal Abstraction and Deep Learning. - Nevo Itzhak; Shahar Tal; Hadas Cohen; Osher Daniel; Roze Kopylov; Robert Moskovitch (IEEE Big Data, 2022)

Continuously Predicting the Completion of a Time Intervals Related Pattern. - Nevo Itzhak; Szymon Jaroszewicz; Robert Moskovitch (PAKDD (1), 2023)

Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model. - Ido Zehori; Nevo Itzhak; Yuval Shahar; Mia Dor Schiller (CoRR, 2023)

Prediction of acute hypertensive episodes in critically ill patients. - Nevo Itzhak; Itai M. Pessach; Robert Moskovitch (Artif. Intell. Medicine, 2023)

Continuous prediction of a time intervals-related pattern's completion. - Nevo Itzhak; Szymon Jaroszewicz; Robert Moskovitch (Knowl. Inf. Syst., 2023)

Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data. - Nevo Itzhak; Szymon Jaroszewicz; Robert Moskovitch (SDM, 2024)

Event prediction by estimating continuously the completion of a single temporal pattern's instances. - Nevo Itzhak; Szymon Jaroszewicz; Robert Moskovitch (J. Biomed. Informatics, 2024)

Comparing Visual Encodings for the Task of Anomaly Detection. - Meirav Taieb-Maimon; Eden Ya'akobi; Nevo Itzhak; Yossi Zaltsman (Int. J. Hum. Comput. Interact., 2024)

Temporal ensemble of multiple patterns' instances for continuous prediction of events. - Nevo Itzhak; Szymon Jaroszewicz; Robert Moskovitch (Mach. Learn., 2025)

Time-intervals-related pattern selection for continuous event prediction. - Nevo Itzhak; Szymon Jaroszewicz; Robert Moskovitch (Pattern Recognit., 2025)