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Programme for SAIS 2022

Programme - SAIS 2022 workshop - Kista Science Tower

June 13


8:45 - 9:30     Participants login and join the conference 

9:30 - 9:45    Opening

9:45 - 10:30   Keynote speaker:  Prof. Barbara Plank  

  • Title: Is Human Label Variation Really So Bad for AI?

10:30-10:45   Break 

10:45-12:00   Oral presentations #1 

  • Debaditya Roy, Vangjush Komini and Sarunas Girdzijauskas. Out-of-distribution in Human Activity Recognition (Link)
  • Fredrik Lastow, Edwin Ekberg and Pierre Nugues. Language-agnostic Age and Gender Classification of Voice using Self-supervised Learning (Link)
  • Martin Cooney and Alexey Vinel. Magic in Human-Robot Interaction (HRI) (Link)
  • Debaditya Roy and Sarunas Girdzijauskas. Mixing temporal experts for Human Activity Recognition (Link)
  • Claes Strannegård and Niklas Engsner. Ecosystem Models Based on Artificial Intelligence (Link)

12:00-13:00   Lunch break 

13:00-13:45   Keynote speaker: Prof. Amy Loutfi

  • Title: AI for robotics and improved human robot interaction

13:45-14:00   Break 

14:00-15:15   Oral presentations #2 

  • Anton Johansson, Claes Strannegård, Niklas Engsner and Petter Mostad. Slope and Generalization Properties of Neural Networks (Link)
  • Rickard Brannvall, Henrik Forsgren, Helena Linge, Marina Santini, Alireza Salehi and Fatemeh Rahimian. Homomorphic encryption enables private data sharing for digital health (Link)
  • Monisha Srihari, Zahra Gholipour, Reza Khoshkangini and Abbas Orand. Optimization of the Feature Learning Algorithm (Link)
  • Francisco J. Peña, Angel Luis Gonzalez, Sepideh Pashami, Ahmad Al-Shishtawy and Amir H. Payberah. SBC: Siamese Bert-based Code Search (Link)

15:15-16:00   Poster presentations  

  • Rafsan Ahmed, Petter Berntsson, Alexander Skafte, Adam Barvesten, Ola Olde, Salma Kazemi Rashed, Antton Lamarca Arrizabalaga, Marcus Klang, Pierre Nugues and Sonja Aits. A Deep Learning Pipeline for COVID19-related Information Extraction from Scientific Literature (Link)
  • Alexander Galozy, Slawomir Nowaczyk and Mattias Ohlsson. A New Bandit Setting Balancing Information from State evolution and Corrupted Context
  • Kateryna Melnyk, Shiva Habibi, Joakim Rosell and Ruiting Qin. Neighbourhood effects on the demand of e-scooter sharing services: A comparison between Convolutional Neural Network and spatial regression model. (Link)
  • Tosin Adewumi, Rickard Brännvall, Nosheen Abid, Maryam Pahlavan, Sana Sabah Sabry, Foteini Liwicki and Marcus Liwicki. Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning (Link)
  • Christian Kammler, René Mellema and Frank Dignum. Agents dealing with Norms and Regulations (Link)
  • Edvin Listo Zec and Olof Mogren. Residual value prediction using deep learning for circular economy (Link)
  • Hamid Sarmadi. Attention Horizon as a Predictor for the Fuel Consumption Rate of Drivers (Link)

16:00-16:15   Break 

16:15-16:35   SAIS Master Thesis Award presentation: Gustavo Beck

  • Title: Wavebender GAN: Deep architecture for high-quality and controllable speech synthesis

16:45-17:30   SAIS annual meeting 

18:30-            Dinner & Social event at Aifur Krog och Bar


June 14


8:45 - 9:15    Participants' login and join the conference 

09:15-10:00   Keynote speaker: Adj. Prof. Erik Coelingh

  • Title: Towards Zero faster for safer roads with AI

10:00-10:30    Oral presentations #3

  • Aravind Nair, Helena Arvidsson, Jorge Gatica Vallejos, Nikolce Tudzarovski, Karl Meinke and Rachael Sugars. A Graph Neural Network Pipeline for Mapping Histological Topology in Oral Mucosal Tissue (Link)
  • Leila Methnani, Andreas Antoniades and Andreas Theodorou. The AWKWARD Real-Time Adjustment of Reactive Planning
  • Ebba Ekblom, Edvin Listo Zec and Olof Mogren. EFFGAN: Ensembles of fine-tuned federated GANs (Link)

10:30-10:45   Break 

10:45-12:00   Oral presentations #4

  • Ece Calikus, Slawomir Nowaczyk and Onur Dikmen. Context Discovery for Anomaly Detection (Link)
  • Awais Ashfaq, Markus Lingman, Murat Sensoy and Slawomir Nowaczyk. DEED: DEep Evidential Doctor (Link
  • Martin Hellkvist, Ayça Özçelikkale and Anders Ahlén. Fake it until you make it: Fake features can improve estimation performance (Link)
  • Martin Willbo, John Martinsson, Aleksis Pirinen and Olof Mogren. Semi-supervised few-shot learning for ecoacoustic event detection (Link)
  • Pablo Del Moral, Slawomir Nowaczyk and Sepideh Pashami. Hierarchical Multi-class Classification for Fault Diagnosis (Link)
  • Faseeh Ahmad, Volker Krueger, Elin Anna Topp and Jacek Malec. Learning Generalized Robotic Skills (Link)
  • Magnus Röding, Piotr Tomaszewski, Shun Yu, Markus Borg and Jerk Rönnols. Machine learning-based analysis of small-angle X-ray scattering experiments in porous materials (Link)

12:00-13:00   Lunch break 

13:00-14:00   Mentor sessions (two parallel sessions)

  • [A] Ahmad Terra. Explainable AI for Telecommunication (Link)
  • [A] Marie Francisco. Sense-making analysis of AI for environmental governance and sustainable development (Link)
  • [A] Alex Berman. Explaining predictions in dialogue (Link)
  • [A] Mohammed Ghaith Altarabichi. Evolving Activation Functions (Link)
  • [B] Edvin Listo Zec, Olof Mogren and Sarunas Girdzijauskas. Distributed machine learning (Link)
  • [B] Kunru Chen. Forklift Activity Recognition (Link)
  • [B] Julian Alfredo Mendez. A Bridge for the Human-Machine Ethical Gap (Link)

14:05-15:05   Oral presentations: Industry track

  • Haris Dukic, Shahab Mokarizadeh, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu and Marco Trincavelli. Fashion Item Compatibility Learning in Very Sparse Fashion Graphs (Link)
  • Jonatan Flyckt and Daniel Häggström. Industrial applications of AI at Herenco (Link)
  • Sai Sushanth Varma Kalidindi, Hadi Banaee, Franziska Klügl and Amy Loutfi. A Context-aware Predictive model to Optimize Energy Consumption in Residential Buildings (Link)
  • Shenghui Li, Edith Ngai and Thiemo Voigt. Byzantine-Robust Aggregation in Federated Learning Empowered Industrial IoT (Link)
  • Matthias Mayr, Volker Krueger and Jacek Malec. Research Challenges in Skill-based Reinforcement Learning of Industrial Manufacturing Tasks (Link)
  • Jesper Derehag and Åke Johansson. MCPrioQ: A lock-free algorithm for online sparse markov-chains (Link)

15:05-15:20   Break 

15:20-16:05   Panel discussion 

  • Topic: the Swedish AI landscape
  • Panelists: Daniel Gillblad, Hanifeh Khayyeri, Irene Ek, Jessica Svennebring

16:05-16:15   Closing SAIS 2022

Sepideh Pashami
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