HEPTECH AIME19 AI & ML

25–26 Nov 2019

Hotel Mercure Budapest

Europe/Budapest timezone

Somfai Ellak

Author List

János Abonyi (University of Pannonia)
- Author in Adding artificial Intelligence into process control systems – implementation and integration by open source tools
Andrew Gargett
- Author in Artificial Intelligence for industry at the Hartree Centre
Peter Antal (Department of Measurement and Information Systems, Budapest University of Technology and Economics)
- Author in Learning structured deep generative models from incomplete data in biomedicine
Mihaly Banyai (MTA Wigner RCP)
- Co-author in Nonlinear decoders are efficient for discriminating structured stimuli in V1
Gergely Barnafoldi (Wigner RCP RMI of the Hungarian Academy of Sciences)
- Co-author in Simulating high-energy heavy-ion collisions in the cloud
Andras Benczur (SZTAKI)
- Author in The Hungarian National AI Center of Excellence
Zsigmond Benko (MTA Wigner FK)
- Co-author in Complete Inference of Causal Relationships in Dynamical Systems
Gabor Biro (MTA Wigner FK)
- Author in Simulating high-energy heavy-ion collisions in the cloud
Attila Bódi (Konkoly Thege Miklós Astronomical Institute, Research Centre for Astronomy and Earth Sciences)
- Author in Image-based classification of variable stars
Maura Casadio (U Genova)
- Author in Computer vision methods for understanding human movements in daily living and clinical settings
Attila Ceffer (BME)
- Author in AI based algo-trading using quantization and volatility information
Bilge Demirkoz (METU)
- Author in HEP Graph Machine Learning for Industrial & Humanitarian Applications
Daniel Dobos (Visiting Researcher at CERN with Lancaster University)
- Author in HEP Graph Machine Learning for Industrial & Humanitarian Applications
Gyula Dörgő (MTA PE Lendület Complex Systems Monitoring Research Group)
- Author in Adding artificial Intelligence into process control systems – implementation and integration by open source tools
Loránd Erőss (Department of Functional Neurosurgery, National Institute of Clinical Neurosciences,)
- Co-author in Complete Inference of Causal Relationships in Dynamical Systems
Dániel Fabó (Epilepsy Center "Juhász Pál", National Institute of Clinical Neurosciences,)
- Co-author in Complete Inference of Causal Relationships in Dynamical Systems
András Földvári
- Author in Machine Learning and Reasoning for Exploratory Data Analysis and Model Extraction in Cyber-Physical Systems
Fábián Gida (Cursor Insight)
- Author in Hindrances to adaptation of Machine Learning in Healthcare
Bence Golda (Cursor Insight)
- Author in Hindrances to adaptation of Machine Learning in Healthcare
Gabor Gulyas (BME-AUT)
- Author in Overview of applied machine learning projects at the Department of Automation and Applied Informatics
Gergely Hanczár (Cursor Insight)
- Author in Hindrances to adaptation of Machine Learning in Healthcare
Reka Hollandi (Biological Research Centre, Szeged, Hungary)
- Author in Test-time augmentation for deep learning-based cell segmentation on microscopy images
Attila Kertesz-Farkas (Higher School of Economics, Moscow, Russia)
- Author in Test-time augmentation for deep learning-based cell segmentation on microscopy images
Ákos Kovács
- Author in Enhancement of 2D and 3D Medical Imaging Data acquired with Mediso SPECT Cameras
Andreea Lazar (Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany)
- Co-author in Nonlinear decoders are efficient for discriminating structured stimuli in V1
Jean-Marie Le Goff (CERN)
- Co-author in Hb-graphs and their applications to the ranking of information in an information space.
János Levendovszky (BME)
- Author in AI based algo-trading using quantization and volatility information
Gábor Légrádi (physicist-engineer, AI expert, freelancer)
- Author in Enhancement of 2D and 3D Medical Imaging Data acquired with Mediso SPECT Cameras
Stéphane Marchand-Maillet (University of Geneva)
- Co-author in Hb-graphs and their applications to the ranking of information in an information space.
Andrea Martini (gluoNNet)
- Author in HEP Graph Machine Learning for Industrial & Humanitarian Applications
Botond Mathe (Biological Research Centre, Szeged, Hungary)
- Author in Test-time augmentation for deep learning-based cell segmentation on microscopy images
Nikita Moshkov (Biological Research Centre, Hungarian Academy of Sciences)
- Author in Test-time augmentation for deep learning-based cell segmentation on microscopy images
Ferdinando Mussa-Ivaldi (Northwestern Univ and Shirley Ryan Ability Lab)
- Author in What can we learn about learning through human-machine interactions?
Richárd Nagyfi (Cursor Insight)
- Author in Hindrances to adaptation of Machine Learning in Healthcare
Kristiane Novotny (gluoNNet)
- Author in HEP Graph Machine Learning for Industrial & Humanitarian Applications
Gergo Orban (MTA Wigner RCP)
- Co-author in Nonlinear decoders are efficient for discriminating structured stimuli in V1
Xavier Ouvrard
- Author in Hb-graphs and their applications to the ranking of information in an information space.
Gábor Papp (ELTE)
- Co-author in Simulating high-energy heavy-ion collisions in the cloud
Andras Pataricza (Budapest University of Technology and Economics)
- Author in Machine Learning and Reasoning for Exploratory Data Analysis and Model Extraction in Cyber-Physical Systems
Horvath Peter (Hungarian Academy of Sciences)
- Author in Life beyond the pixels: machine learning and image analysis methods for HCS
- Author in Test-time augmentation for deep learning-based cell segmentation on microscopy images
Karolos Potamianos (DESY)
- Author in HEP Graph Machine Learning for Industrial & Humanitarian Applications
Karin Rathsman (ESSS)
- Author in One Year Into the ESS Control System Machine Learning Project
Tamas Ruppert
- Author in Adding artificial Intelligence into process control systems – implementation and integration by open source tools
Zoltan Somogyvari (MTA Wigner FK)
- Author in Complete Inference of Causal Relationships in Dynamical Systems
Graeme Stewart (CERN)
- Author in Machine Learning in High-Energy Physics: Successes and Future Directions
Marcell Stippinger (MTA Wigner FK)
- Author in Nonlinear decoders are efficient for discriminating structured stimuli in V1
- Co-author in Complete Inference of Causal Relationships in Dynamical Systems
Sándor Szabó (Univ Pécs)
- Author in Comparing the Markowitz Portfolio Model and the Market Graph of Pardalos
Róbert Szabó (CSFK CSI)
- Co-author in Variable star classification
Dávid Szalai (Wigner Research Centre for Physics, System Level Neuroscience Research Group, Budapest, Hungary)
- Co-author in Nonlinear decoders are efficient for discriminating structured stimuli in V1
Zoltán Szeleczky (University of Liverpool)
- Co-author in Variable star classification
Gergely Szertics
- Author in AI ecosystem and AI strategy in Hungary
András Sólyom (Epilepsy Center "Juhász Pál", National Institute of Clinical Neurosciences)
- Co-author in Complete Inference of Causal Relationships in Dynamical Systems
Dóra Tarczay-Nehéz (CSFK CSI)
- Author in Variable star classification
Andras Telcs
- Co-author in Complete Inference of Causal Relationships in Dynamical Systems
Cenk Tiysuz (METU)
- Author in HEP Graph Machine Learning for Industrial & Humanitarian Applications
András Vukics (Wigner FK)
- Author in The breakdown of photon blockade: a first order dissipative quantum phase transition (cloud-based simulation of open quantum systems)
Singer Wolf (Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany)
- Co-author in Nonlinear decoders are efficient for discriminating structured stimuli in V1
Ádám Zlatniczki (Wigner Research Centre for Physics)
- Co-author in Complete Inference of Causal Relationships in Dynamical Systems