Programme for SAIS 2022

Programme - SAIS 2022 workshop - Kista Science Tower

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

9:30 - 9:45 Opening

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

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

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

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

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

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

16:05-16:15 Closing SAIS 2022

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