Oral Talks

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Oral Talks

The following have been invited to give Oral Talks at the NordicAIMEET 2021 Conference.

Divij Singh, Ayush Somani, Alexander Horsch and Dilip K. Prasad;Performance improvement in deep learning models for outdoor semantic segmentation for autonomous driving for unstructured environment; Track 1 Deep Learning Prakash Chandra Chhipa, Seiichi Uchida and Marcus Liwicki;Reducing Supervision in Computer Vision by Enhancing Self-Supervision; Track 1 Deep Learning Satheshkumar Kaliyugarasan, Marek Kociński, Piergianluca Porta Mana, Arvid Lundervold and Alexander Selvikvåg Lundervold;How old is your brain? A Large Scale MRI and Deep Learning Investigation; Track 1 Deep Learning Saruar Alam, Alexander Selvikvåg Lundervold and Arvid Lundervold;Predicting overall survival in patients with glioblastoma from multiparametric MRI using joint combination of CNN, radiomics and clinical information; Track 1 Deep Learning Nosheen Abid, György Kovács and Marcus Liwicki;Deep Learning based Piers and Jetties Classification from Sentinel-2 Imagery; Track 1 Deep Learning Mehak Eman, Nosheen Abid, György Kovács and Marcus Liwicki;Deep Learning based Forest Fire Forecasting using Meteorological and Geological Data; Track 1 Deep Learning Chang Rajani;Model-based policy optimization in delayed MDPs; Track 2 Machine Learning Methods Richa Upadhyay, Rajkumar Saini, Ronald Phlypo and Marcus Liwicki;Sharing to learn and learning to share: An ensemble of information sharing learning paradigms; Track 2 Machine Learning Methods Yang Liu, Alan Medlar and Dorota Glowacka;Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings; Track 2 Machine Learning Methods Adam Breitholtz and Fredrik Johansson;Towards empirically useful bounds for domain adaptation; Track 2 Machine Learning Methods Samuel Håkansson, Joakim Strandberg, Sara Joelsson and Johan Zelano;Machine learning for prediction of seizures using interictal electroencephalogram; Track 2 Machine Learning Methods Arash Sheikhlar and Kristinn Thórisson;Autonomous Causal Transfer Learning; Track 2 Machine Learning Methods Anisia Katinskaia and Roman Yangarber;Assessing Grammatical Correctness in Language Learning; Track 3 Transformers Sardana Ivanova, Michele Boggia, Valter Uotila and Hannu Toivonen;Finnish Poetry Generation Using Fine-tuned mBART; Track 3 Transformers Jehad Aldahdooh, Markus Vähä-Koskela, Jing Tang and Ziaurrehman Tanoli;Using BERT to identify drug-target interactions from whole PubMed; Track 3 Transformers Edvin Listo Zec and Olof Mogren;Decentralized federated learning on non-iid data; Track 4 Ethics, Privacy and Explainable AI Alise Danielle Midtfjord, Riccardo De Bin and Arne Bang Huseby;A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI; Track 4 Ethics, Privacy and Explainable AI Syed Zohaib Hassan, Pål Halvorsen and Michael Riegler;Interview training of child-welfare and law-enforcement professionals interviewing maltreated children supported via artificial avatars; Track 4 Ethics, Privacy and Explainable AI