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Sepideh Pashami
ApplicationArea Intelligent Vehicles +
Cellphone +46737552016  +
FamilyName Pashami  +
GivenName Sepideh  +
Img Sepideh2crop.jpg  +
Office E511  +
Person Sepideh Pashami +
Phone +4635167151  +
Project BIDAF A Big Data Analytics Framework for a Smart Society + , HEALTH + , ARISE +
Ptitle PhD  +
Role Assistant Professor  +
SubjectArea Machine Learning + , Data Mining +
Teacher Perspective on Data Science +
Has queryThis property is a special property in this wiki. Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami + , Sepideh Pashami +
Categories Person  + , Only pages in namespace "Category" are allowed here.
Modification dateThis property is a special property in this wiki. 29 January 2019 09:59:35  +
Page has default formThis property is a special property in this wiki. CreatePerson  +
EmailThis property is a special property in this wiki. sepideh.pashami@hh.se  +
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Publications:Avoiding Improper Treatment of Dementia Patients by Care Robots + , Publications:Avoiding improper treatment of dementia patients by care robots + , Publications:Causal discovery using clusters from observational data + , Publications:IDM-WSDM 2019 : Workshop on Interactive Data Mining + , Publications:Incremental causal discovery and visualization + , Publications:Interactive feature extraction for diagnostic trouble codes in predictive maintenance : A case study from automotive domain + , Publications:Learning Low-Dimensional Representation of Bivariate Histogram Data + , Publications:Mode tracking using multiple data streams + , Publications:Multi-Task Representation Learning + , Publications:Pitfalls of Affective Computing : How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks? + , Publications:Predicting Air Compressor Failures Using Long Short Term Memory Networks + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Supporting Analytical Reasoning : A Study from the Automotive Industry + , Publications:Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters - Using Clustering and Rule-Based Machine Learning + , Publications:Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters -- Using Clustering and Rule-Based Machine Learning + , Publications:Warranty Claim Rate Prediction using Logged Vehicle Data + Author
Sepideh Pashami + Person
AI R&D at King + , Analysis of Multi-Lingual Vehicle Service Histories + , Anomaly Detection on Truck Histograms + , Automatic Machine Learning (AUTO-AUTO-ENCODER!) + , Clustering of battery usage pattern for Electric buses + , Concept Re-identification to Explain Online Continual Learning + , Deep Recurrent Networks for Machine Prognostics + , Detecting changes in causal relations + , Explainable Decision Forest + , Federated learning in automotive industry + , Model Volvo Truck Lifetime Repair History + , Piglets Detection and Counting using Deep Neural Networks + , Recurrent and Deep Learning for Machine Prognostics + , Representation of Complex Data Types for Machine Learning + , Resolving Class Imbalance using Generative Adversarial Networks + , SCANIA Project: Graph neural networks for anomaly detection + , Safe deployment of Deep Neural Networks in automotive engineering + , Transfer Learning for Machine Diagnostics and Prognostics + , Understand Patterns in Volvo Truck Lifetime Repair History + , Value of BIG DATA for Large Building Owners + Supervisors
Sepideh + redirect page
 

 

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