TU Dublin to Host AICS Conference 2020
The School of Computer Science will host the 28th Irish Conference on Artificial Intelligence and Cognitive Science (AICS2020) which take place online from 7-8 December 2020.
With regular conferences dating back to 1988, the AICS Conference is Ireland’s primary forum for researchers with interests in the fields of Artificial Intelligence and Cognitive Science. While once a niche area, the fields of Cognitive Science and Artificial Intelligence, which encompass Data Analytics, Information Retrieval, and Machine Learning, are now at the forefront of Irish computing research and industry.
You can register on Eventbrite here.
Programme
Schedule – Monday 7th December (Full Day)
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| 09:30 – 9:45 | Welcome (chair: Luca Longo) |
| 09:45 – 10:30 | Keynote by Prof. Francesca Toni, Imperial College London, United Kingdom (chair: Luca Longo) From Computational Argumentation to Explanation Computational argumentation is a field in (symbolic AI) focusing on defining argumentation frameworks comprising sets of arguments and dialectical relations between them (e.g. of attack and, in addition or instead, of support), as well as so-called semantics (e.g. amounting to definitions of dialectically acceptable sets of arguments or of dialectical strength of arguments, satisfying desirable dialectical properties such as that supports against an argument should strengthen it). In this talk I will overview recent efforts deploying computational argumentation to obtain and deliver to users explanations of different formats for a variety of systems, including recommenders, classifiers and schedulers. |
| 10:30-11:00 | Coffee Break |
| 11:00-12:00 | Session 1 – Learning (chair: Arjun Pakrashi) Active Learning for the Text Classification of Rock Climbing Logbook Data Eoghan Cunningham and Derek Greene TensorFlow enabled Deep Learning Model Optimization for enhanced Realtime Person Detection using Raspberry Pi operating at the Edge Reenu Mohandas, Mangolika Bhattacharya, Mihai Penica, Karl Van Camp and Martin Hayes Streetseek – Understanding Public Space Engagement Using Deep Learning & Thermal Imaging Ciarán O’Mara, Eoghan Mulcahy, Pepijn Van de Ven and John Nelson |
| 12:00-13:00 | Lunch Break |
| 13:00-14:00 | Session 2 – Student track 1 (chair: Elizabeth Hunter) Identifying Complaints from Product Reviews: A Case Study on Hindi Raghvendra Pratap Singh, Rejwanul Haque, Mohammed Hasanuzzaman and Andy Way Demand Prediction for Shared Mobility Services using Time Series Modelling Rudi Camilleri and Jeremy Debattista Optimising PID Control with Residual Policy Reinforcement Learning Andrew Hynes, Elena Sapozhnikova and Ivana Dusparic Synthesising Tabular Data using Wasserstein Conditional GANs with Gradient Penalty (WCGAN-GP) Manhar Singh Walia, Brendan Tierney and Susan Mckeever An Investigation of Transfer Learning for a Lifelog Dataset Akanksha Rajpute, Tejal Nijai and Graham Healy Neural Architecture Search using Particle Swarm and Ant Colony Optimization Seamus Lankford and Diarmuid Grime |
| 14:00-16:00 | Session 3 – AI applications (chair: Arjun Pakrashi) LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study Bruno Ambrozio, Luca Longo and Lucas Rizzo Differentiation in Personality Emotion Mappings From Self Reported Emotion and Automatically Classified Emotion Ryan Donovan, Aoife Johnson and Ruairi O’Reilly Geoff: A Linked Data Vocabulary for Describing the Form and Function of Spatial Objects Kris McGlinn, Declan O’Sullivan, Christophe Debruyne, Eamonn Clinton and Rob Brennan An Evacuation Route Model for Disaster Affected Areas Vinaysheel Kishor Wagh, Pramod Pathak, Paul Stynes and Luis Gustavo Nardin Exploring Composite Dataset Biases for Heart Sound Classification Davoud Shariat Panah, Andrew Hines and Susan Mckeever Disenchantment with Emotion Recognition Technologies: A Comparison Between Humans Observers and Automatic Classifiers Damien Dupré |
| 16:00-16:30 | Coffee Break |
| 16:30-18:00 | Session 4 – AI methods (chair: Lucas Rizzo) Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists Giancarlo Salton and John Kelleher KalmanTune: A Kalman filter based tuning method to make boosted ensembles robust to class-label noise Arjun Pakrashi and Brian Mac Namee Using Navigable Small Worlds to Speed Up Time-Series Classification Vivek Mahato and Pádraig Cunningham Combining Local Search and Genetic Algorithm for Two-Dimensional Guillotine Bin Packing Problems with partial sequence constraint Filipe Souza and Diarmuid Grimes |
| 18:00 | Wrap Up |
Schedule – Tuesday 8th December (Half Day)
| 09:15-10:45 | Session 5 – Explainable AI and symbolic reasoning (chair: Elizabeth Hunter) Incorporating Explainable Artificial Intelligence (XAI) to aid Understanding of Machine Learning in the Healthcare Domain Urja Pawar, Donna O’Shea, Susan Rea and Ruairi O’Reilly Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust Lucas Rizzo, Pierpaolo Dondio and Luca Longo A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence Giulia Vilone, Luca Longo and Lucas Rizzo |
| 10:45-11:00 | Coffee break |
| 11:00 – 12:15 | Session 6 – Student track 2 (chair: Luca Longo) A Multi-class Approach – Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning Preeti Jagdish Sajjan and Frank G Glavin Less is More when Applying Transfer Learning to Multi-Spectral Data Yuvraj Sharma and Robert Ross Using GANs to Synthesise Minimum Training Data forDeepfake Generation Simranjeet Singh, Rajneesh Sharma and Alan Smeaton Intentional Forgetting: Investigating Interpretations and Future Potentials of Cognitive Control Alysha Higgins Analysis of Machine Learning Methods for Predicting Stock Prices Oluwadurotimi Onibonoje, Kevin Djoussa and Mark Roantree Improved Speech Synthesis using Generative Adversarial Networks Dineshraj Gunasekaran, Gautham Venkatraj, Eoin Brophy and Tomas Ward Simple Question Answering Over a Domain-Specific Knowledge Graph using BERT by Transfer Learning Mani Vegupatti, Matthias Nickles and Bharathi Raja Chakravarthi |
| 12:15-13:15 | Session 7 – AI, ethics and regulations (chair: Lucas Rizzo) Finding Short Lived Events on Social Media David Kilroy, Simon Caton and Graham Healy Assessing the Appetite for Trustworthiness and the Regulation of Artificial Intelligence in Europe Labhaoise Nifhaolain, Andrew Hines and Vivek Nallur Where’s the Why? In Search of Chains of Causes for Query Events Suchana Datta, Derek Greene, Debasis Ganguly, Dwaipayan Roy and Mandar Mitra |
| 13:15 | Closing Remarks and AIAI Community Meeting |