HEPTECH AIME ML&VA on Clouds

29-30 October 2018

Hotel Mercure Budapest

Europe/Budapest timezone

Author List

János Abonyi University of Pannonia
- Author in How hidden knowledge in series of temporal events can be extracted and utilized?
- Author in Improving overall equipment effectiveness of manufacturing cells by process mining and machine learning
Peter Antal Department of Measurement and Information Systems, Budapest University of Technology and Economics
- Author in Federated, privacy-preserving learning of large-scale probabilistic graphical models
- Author in Network-based analysis of common genetic background of diseases
Tamas Balassa
- Author in A deep convolutional neural network approach for astrocyte detection
Nóra Balogh
- Author in Analysis of molecular electronics measurements with neural networks
Andras Benczur Institute for Computer Science and Control, Hungarian Academy of Sciences
- Author in Online Machine Learning in Big Data Streams - Theory and Practice
Beatrix Benkő Eötvös Loránd University
- Author in ML and VA tools in support of software testing
Bence Bruncsics Budapest University of Technology and Economics.
- Author in Network-based analysis of common genetic background of diseases
Dezső Burján
- Author in From exploratory big data analysis towards run-time verification
Tivadar Danka Hungarian Academy of Sciences
- Author in modAL: A modular active learning framework for Python
Gyula Dörgő MTA PE Lendület Complex Systems Monitoring Research Group
- Author in How hidden knowledge in series of temporal events can be extracted and utilized?
Kinga Faragó Eötvös University
- Author in NIPGboard: An analysing, visualization and interacting AI tool
Juhász Gabriella The Department of Pharmacodynamics, Semmelweis University
- Author in Network-based analysis of common genetic background of diseases
Péter Gillich Ericsson Hungary
- Co-author in From exploratory big data analysis towards run-time verification
Vince Grolmusz Eötvös University
- Author in The Graph of Our Mind
László Gönczy Budapest University of Technology and Economics Department of Measurement and Information Systems
- Co-author in From exploratory big data analysis towards run-time verification
András Halbritter Budapest University of Technology and Economics
- Author in Analysis of molecular electronics measurements with neural networks
Máté Haragovics MOL Danube Refinery
- Author in How hidden knowledge in series of temporal events can be extracted and utilized?
Réka Hollandi Hungarian Academy of Sciences, Biological Research Center
- Author in Detecting nuclei with deep learning and image style transfer
Gergely Honti
- Author in Improving overall equipment effectiveness of manufacturing cells by process mining and machine learning
Peter Horvath
- Author in A deep convolutional neural network approach for astrocyte detection
- Author in Life beyond the pixels: image analysis and machine learning for single-cell analysis
Antal Jakovac BME Institute pf Physics
- Author in Understanding understanding
Mark Jelasity University of Szeged
- Author in Federated Learning on the Edge
John Isaac
- Author in Supporting Decision Making through Interactive Visualisation
Robert-Zsolt Kabai Continental
- Author in Applied Artificial Intelligence For Assisted and Autonomous Driving
Csaba Kerepesi Hungarian Academy of Science
- Author in The Graph of Our Mind
Attila Kertesz-Farkas Higher School of Economics
- Co-author in Image database generation techniques for DIC brain tissue cell segmentation
Bálint Kis Ericsson Hungary
- Co-author in From exploratory big data analysis towards run-time verification
Levente Kocsis Institute for Computer Science and Control of the Hungarian Academy of Sciences
- Co-author in Online Machine Learning in Big Data Streams - Theory and Practice
Krisztian Koos Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, Biological Research Center (BRC), Szeged, Hungary.
- Co-author in Image database generation techniques for DIC brain tissue cell segmentation
Benedek Kovács Ericsson Hungary
- Co-author in From exploratory big data analysis towards run-time verification
Jean-Marie Le Goff CERN
- Author in Graph search and knowledge extraction related to communities
Zoltán Lehóczky Lombiq Technologies Ltd.
- Author in Turning software into computer chips – Hastlayer
Andras Lorincz Eotvos Lorand University
- Author in From Applied Deep Learning to Artificial General Intelligence
András Lukács Eötvös Loránd University
- Author in ML and VA tools in support of software testing
András Magyarkuti Budapest University of Technology and Economics
- Author in Analysis of molecular electronics measurements with neural networks
Csaba Molnar
- Author in A deep convolutional neural network approach for astrocyte detection
László Milán Molnár
- Author in Failure root-cause analysis by data analytics: concept and a case study
Nikita Moshkov Biological Research Centre, Hungarian Academy of Sciences
- Author in Image database generation techniques for DIC brain tissue cell segmentation
Géza Németh
- Author in Artificial Intelligence and Smart Interaction Research at BME TMIT Smartlabs
Gergo Orban MTA Wigner RCP
- Author in Machine learning: learning from reverse engineering human intelligence and engineering artificial intelligence
Robert Palovics Stanford University
- Co-author in Online Machine Learning in Big Data Streams - Theory and Practice
Andras Pataricza Budapest University of Technology and Economics
- Author in Towards using ML in critical applications
- Co-author in From exploratory big data analysis towards run-time verification
Horvath Peter Hungarian Academy of Sciences
- Co-author in Image database generation techniques for DIC brain tissue cell segmentation
- Co-author in modAL: A modular active learning framework for Python
Gábor Prószéky MTA-PPKE Hungarian Language Technology Research Group
- Author in AI Methods in Human Language Technologies
Karin Rathsman ESSS
- Author in The ESS Control System Machine Learning Project
Karin Rathsman ESSS
- Author in The ESS Control System Machine Learning Project
Tamas Ruppert
- Author in Improving overall equipment effectiveness of manufacturing cells by process mining and machine learning
Mart Saarma
- Author in A deep convolutional neural network approach for astrocyte detection
Bernd Schlei GSI Helmholtzzentrum für Schwerionenforschung GmbH
- Author in Visualizing velocity field strengths in medical image data with hyper-surfaces in spacetime
Yulia Sidorova
- Author in A deep convolutional neural network approach for astrocyte detection
Ilida Suleymanova
- Author in A deep convolutional neural network approach for astrocyte detection
Péter Suskovics Ericsson Hungary
- Co-author in From exploratory big data analysis towards run-time verification
Balázs Szalkai Eötvös University
- Author in The Graph of Our Mind
Balazs Szegedy Alfred Renyi Institute of Mathematics
- Author in The Mathematical Foundations of Artificial Intelligence - about the National Excellence Program
- Author in The Mathematical Foundations of Artificial Intelligence - about the National Excellence Program
Ábel Szkalisity Hungarian Academy of Sciences, Biological Research Center
- Co-author in Detecting nuclei with deep learning and image style transfer
Sushil Tripathi
- Author in A deep convolutional neural network approach for astrocyte detection
Balint Varga Eotvos University
- Author in The Graph of Our Mind
Gábor Vattay Eötvös Loránd University, Department of Physics of Complex Systems
- Author in Quantum Computing, Quantum Software and AI
Steve Welch ESP Central
- Author in Introduction of the Accelerate Project