activity
20222025
most citedConformance Checking Over Stochastically Known Logs

13 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DB2025

Conformance Checking for Less: Efficient Conformance Checking for Long Event Sequences

Eli Bogdanov, Izack Cohen, Avigdor Gal

Long event sequences (termed traces) and large data logs that originate from sensors and prediction models are becoming increasingly common in our data-rich world. In such scenario…

cs.AI2024

A Scalable and Near-Optimal Conformance Checking Approach for Long Traces

Eli Bogdanov, Izack Cohen, Avigdor Gal

Long traces and large event logs that originate from sensors and prediction models are becoming more common in our data-rich world. In such circumstances, conformance checking, a k…

cs.CL2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.LG2022

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…

cs.AI2022★ 13 cited

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…