Kontaktperson
Program för SAIS 2022
Program - SAIS 2022 workshop - Kista Science Tower
13 juni
_____________________________________________________
8:45 - 9:30 Deltagarna loggar in och ansluter sig till konferensen.
9:30 - 9:45 Workshopens öppnande
9:45 - 10:30 Huvudtalare #1: Prof. Barbara Plank
- Titel: Is Human Label Variation Really So Bad for AI?
10:30-10:45 Paus
10:45-12:00 Muntliga presentationer #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 Lunchpaus
13:00-13:45 Huvudtalare #2: Prof. Amy Loutfi
- Titel: AI for robotics and improved human robot interaction
13:45-14:00 Paus
14:00-15:15 Muntliga presentationer #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 Posterpresentationer
- 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 Paus
16:15-16:35 SAIS pris för bästa examensarbete 2022: Gustavo Beck
- Title: Wavebender GAN: Deep architecture for high-quality and controllable speech synthesis
16:45-17:30 SAIS årsmöte
18:30- Middag på Aifur Krog & Bar
14 juni
_____________________________________________________
8:45 - 9:15 Deltagarna loggar in och ansluter sig till konferensen.
09:15-10:00 Huvudtalare #3: Adj. Prof. Erik Coelingh
- Title: Towards Zero faster for safer roads with AI
10:00-10:30 Muntliga presentationer #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 Paus
10:45-12:00 Muntliga presentationer #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 Lunchpaus
13:00-14:00 Mentorsessioner (två parallella sessioner)
- [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 Muntliga presentationer: Industrispår
- 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 Paus
15:20-16:05 Paneldiskussion
Topic: the Swedish AI landscape
Panelists: Daniel Gillblad, Hanifeh Khayyeri, Irene Ek, Jessica Svennebring
16:05-16:15 Avslut