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HEPTECH AIME ML&VA on Clouds

29–30 Oct 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
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
Vince Grolmusz (Eötvös University)
- Author in The Graph of Our Mind
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