activity
20172023
most citedClassifying Process Instances Using Recurrent Neural Networks

36 citations · 52 across the 7 of their papers we have counts for

collaborators

7 papers

math.NA2023

Wind to start the washing machine? High-Resolution Wind Atlas for Finland

X. Yang, Y. Tian, I. Schicker +1

The current fossil fuel and climate crisis has led to an increased demand for renewable energy sources, such as wind power. In northern Europe, the efficient use of wind power is c…

cs.CV2021★ 4 cited

Rethinking Drone-Based Search and Rescue with Aerial Person Detection

Pasi Pyrrö, Hassan Naseri, Alexander Jung

The visual inspection of aerial drone footage is an integral part of land search and rescue (SAR) operations today. Since this inspection is a slow, tedious and error-prone job for…

cs.DC2020

Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response

Dick Carrillo, Lam Duc Nguyen, Pedro H. J. Nardelli +11

In this paper, we propose a global digital platform to avoid and combat epidemics by providing relevant real-time information to support selective lockdowns. It leverages the perva…

cs.LG2018★ 36 cited

Classifying Process Instances Using Recurrent Neural Networks

Markku Hinkka, Teemu Lehto, Keijo Heljanko +1

Process Mining consists of techniques where logs created by operative systems are transformed into process models. In process mining tools it is often desired to be able to classif…

cs.CR2018★ 2 cited

Online Feature Ranking for Intrusion Detection Systems

Buse Gul Atli, Alexander Jung

Many current approaches to the design of intrusion detection systems apply feature selection in a static, non-adaptive fashion. These methods often neglect the dynamic nature of ne…

cs.LG2017★ 10 cited

Structural Feature Selection for Event Logs

Markku Hinkka, Teemu Lehto, Keijo Heljanko +1

We consider the problem of classifying business process instances based on structural features derived from event logs. The main motivation is to provide machine learning based tec…

cs.CV2017

Domain Adaptation for Resume Classification Using Convolutional Neural Networks

Luiza Sayfullina, Eric Malmi, Yiping Liao +1

We propose a novel method for classifying resume data of job applicants into 27 different job categories using convolutional neural networks. Since resume data is costly and hard t…