16 citations · 29 across the 3 of their papers we have counts for
6 papers
Adaptive Learning for the Resource-Constrained Classification Problem
Danit Shifman Abukasis, Izack Cohen, Xiaochen Xian +2
Resource-constrained classification tasks are common in real-world applications such as allocating tests for disease diagnosis, hiring decisions when filling a limited number of po…
SKTR: Trace Recovery from Stochastically Known Logs
Eli Bogdanov, Izack Cohen, Avigdor Gal
Developments in machine learning together with the increasing usage of sensor data challenge the reliance on deterministic logs, requiring new process mining solutions for uncertai…
Conformance Checking Over Stochastically Known Logs
Eli Bogdanov, Izack Cohen, Avigdor Gal
With the growing number of devices, sensors and digital systems, data logs may become uncertain due to, e.g., sensor reading inaccuracies or incorrect interpretation of readings by…
Uncertain Process Data with Probabilistic Knowledge: Problem Characterization and Challenges
Izack Cohen, Avigdor Gal
Motivated by the abundance of uncertain event data from multiple sources including physical devices and sensors, this paper presents the task of relating a stochastic process obser…
Weighted completion time minimization for capacitated parallel machines
Ilan Reuven Cohen, Izack Cohen, Iyar Zaks
We consider the weighted completion time minimization problem for capacitated parallel machines, which is a fundamental problem in modern cloud computing environments. We study set…
An adaptive robust optimization model for parallel machine scheduling
Izack Cohen, Krzysztof Postek, Shimrit Shtern
Real-life parallel machine scheduling problems can be characterized by: (i) limited information about the exact task duration at scheduling time, and (ii) an opportunity to resched…