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29th AICS 2021: Dublin, Ireland
- Arjun Pakrashi, Ellen Rushe, Mehran Hossein Zadeh Bazargani, Brian Mac Namee:
The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, Dublin, Republic of Ireland, December 9-10, 2021. CEUR Workshop Proceedings 3105, CEUR-WS.org 2022 - Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán:
Modelling the COVID-19 Virus Evolution With Incremental Machine Learning. 1-12 - Johanna Dobbriner
, Cathy Ennis, Robert J. Ross:
Virtual Tutor Personality in Computer Assisted Language Learning. 13-24 - Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor:
Domain Randomization for Object Counting. 25-35 - Jonathan Frawley, Chris G. Willcocks, Maged Habib, Caspar Geenen, David H. Steel, Boguslaw Obara:
Robust 3D U-Net Segmentation of Macular Holes. 36-47 - Zhenshuo Chen
Malware Classification Using Static Disassembly and Machine Learning. 48-59 - Duncan Wallace, Eoin Delaney, Mark T. Keane, Derek Greene:
Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. 60-71 - James Murphy, John E. Ward, Brian Mac Namee:
Machine Learning in Space: A Review of Machine Learning Algorithms and Hardware for Space Applications. 72-83 - Frank Fowley, Anthony Ventresque:
Sign Language Fingerspelling Recognition using Synthetic Data. 84-95 - Enric Moreu, Kevin McGuinness, Noel E. O'Connor:
Synthetic Data for Unsupervised Polyp Segmentation. 96-105 - Mihai Pomarlan, Maria M. Hedblom, Robert Porzel:
Panta Rhei: Curiosity-Driven Exploration to Learn the Image-Schematic Affordances of Pouring Liquids. 106-117 - Aiman Muhammad Uwais, Hamidreza Khaleghzadeh:
Loan Default Prediction Using Spark Machine Learning Algorithms. 118-129 - Boi Mai Quach, Cathal Gurrin, Graham Healy:
Sentiment Analysis: Using Detrended Fluctation Analysis of EEG Signals in Natural Reading. 130-140 - Zachary Dair, Ryan Donovan, Ruairi O'Reilly:
Linguistic and Gender Variation in Speech Emotion Recognition Using Spectral Features. 141-152 - Qin Ruan, Brian Mac Namee, Ruihai Dong:
Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us. 153-164 - Robert McCarthy, Francsico Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond:
Solving the Real Robot Challenge Using Deep Reinforcement Learning. 165-175 - Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Noel E. O'Connor, Brian Mac Namee:
Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions. 176-187 - Çagri Demir, Simon Caton, Pierpaolo Dondio:
Combining Ensembles of Multi-Input Multi-Output Subnetworks and Data Augmentation Does not Harm Your Calibration. 188-199 - Soumi Mitra, Nandhini Reddy Aileni, Irina Tal, Malika Bendechache:
Towards an Optimised Vehicle Detection Algorithm for Multi-Object Tracking in Traffic Surveillance. 200-211 - Dominic Callan, Jennifer Foster:
Evaluation of Interest and Coherence in Machine Generated Stories. 212-223 - Jules Wax:
Representational and Embodied Accounts of Abstract Concepts: A Framework for Prelinguistic Acquisition of Numerical Cognition. 224-235 - Joe Kinahan, Alan F. Smeaton:
Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles. 235-247 - Justin Fajou, Andrew McCarren:
Forecasting Gold Prices Using Temporal Convolutional Networks. 248-259 - Isaac James, Christopher Stone, Alice Toniolo:
Debated Backpropagation. 260-271 - Sharath Madhu Manjunath, Manju Gurjar, Neil O'Kane, Andrew McCarren, Leonardo Gualano:
Detection of Covid-19 From an Imbalanced Chest X-ray Image Data Set. 272-283
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