AICS

Keyphrases

Publications

2023

Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS (2023)
Filipe Souza, Diarmuid Grimes, Barry O'Sullivan
Improved Variable-Relationship Guided LNS for the Data Centre Machine Reassignment Problem. AICS (2023)
Mohamed Amjath, Shagufta Henna
Rényi Differential Privacy Analysis of Graph-Based Federated Learning Under Internet of Health Things. AICS (2023)
Zain Ali, Kevin Meehan, Jennifer Hyndman, Thomas Dowling
Optimising Swarm Robotic Navigation: A Comparative Analysis of Fastest Path vs. Nearest Neighbour Path Projection Strategies. AICS (2023)
Virender Kadyan, Puneet Bawa, Mohd Mujtaba Akhtar, Muskaan Singh
Speech-Based Alzheimer's Disease Classification System with Noise-Resilient Features Optimization. AICS (2023)
Zachary Dair, Samantha Dockray, Ruairi O'Reilly
Complex Adaptive Systems and Psychophysiological Data - An Exploratory Approach. AICS (2023)
Kristýna Onderková, Matthias Nickles
Exploring Abductive Reasoning in Language Models for Data-to-Text Generation. AICS (2023)
Benedict Hartmann, Philippe Tamla, Florian Freund, Matthias L. Hemmje
Fine-Tune it Like I'm Five: Supporting Medical Domain Experts in Training NER Models Using Cloud, LLM, and Auto Fine-Tuning. AICS (2023)
Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia
Air Pollution Monitoring Using Online Recurrent Extreme Learning Machine. AICS (2023)
Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia
Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency. AICS (2023)
Abdul Shahid, Danny Diamond, James McDermott, Mathieu d'Aquin
Ensemble Machine Learning Models for Root Note Detection in Irish Instrumental Dance Music. AICS (2023)
Maryam Basereh, Marie Ward, Una Geary, Una Healy, Mary Fogarty, Annalina Caputo, Rob Brennan
Automated Transparency Evaluation of Knowledge Graphs for Clinical Risk Governance. AICS (2023)
Alessandro Ragano, Emmanouil Benetos, Andrew Hines
Learning Music Representations with wav2vec 2.0. AICS (2023)
Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images. AICS (2023)
Andreea-Clara Pricopi, Pádraig Cunningham
Social Network Analysis of Irish Covid-19 Interactions on Telegram. AICS (2023)
Jinling Wang, Michaela M. Black, Debbie Rankin, Jonathan G. Wallace, Catherine F. Hughes, Leane Hoey, Adrian Moore, Joshua Tobin, Mimi Zhang, James Ng, Geraldine Horigan, Paul Carlin, Kevin McCarroll, Conal Cunningham, Helene McNulty, Anne M. Molloy
Analysis of Risk Factors and Diagnosis for Anxiety Disorder in Older People with the Aid of Artificial Intelligence: Observational Study. AICS (2023)
Maliheh Heidarpour Shahrezaei, Róisín Loughran, Kevin Mc Daid
Pre-processing Techniques to Mitigate Against Algorithmic Bias. AICS (2023)
James Gillespie, Iñaki Rañó, José Santos, Nazmul H. Siddique
Reinforcement Learning for Bio-Inspired Stochastic Robot Control. AICS (2023)
Gautam Patil, Tanaya Patil, Kishor Wagh
Bridging Neuroscience and Minds: Exploring Collective Intelligence through Brain Duplication using AI. AICS (2023)
Mark Gorman, Xuemei Ding, Liam P. Maguire, Damien Coyle
Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. AICS (2023)
Paul Trust, Rosane Minghim
Query-Focused Submodular Demonstration Selection for In-Context Learning in Large Language Models. AICS (2023)
Oladosu Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan
Lightweight Deep Learning for Breast Cancer Diagnosis Based on Slice Selection Techniques. AICS (2023)
Jack McShane, Marion McAfee, Eoghan Furey, Kevin Meehan
RIVERS: Real-Time Identification of Various Environmental Pollutants in Rivers. AICS (2023)
Ataklti Kahsay Wolday, Manojkumar Ramteke
Machine Learning-Assisted Multi-Objective Optimization of Biomass Combustion Process. AICS (2023)
Kazeem Saheed, Shagufta Henna
Deep Reinforcement Learning for Advanced Persistent Threat Detection in Wireless Networks. AICS (2023)
Evan O'Riordan, Frank G. Glavin, Colm O'Riordan
On the Emergence of Fairness in the Evolutionary Dictator Game with Edge Weight Learning. AICS (2023)
D. S. Wijenayake, Shagufta Henna, William Farrelly
A Graph Neural Network-based Security Posture-aware Cloud Service Provider Selection for Multi-cloud. AICS (2023)
Max Dean, Raymond R. Bond, Michael F. McTear, Maurice D. Mulvenna
ChatPapers: An AI Chatbot for Interacting with Academic Research. AICS (2023)
Mallikharjuna Rao Sakhamuri, Shagufta Henna, Leo Creedon, Kevin Meehan
Global-Local Influence Maximization Subgraph Sampling-Based Graph Representation Learning for Innate Immune Response Classification. AICS (2023)
Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany
Using ChatGPT to Generate Gendered Language. AICS (2023)
Oshana Dissanayake, Sarah McPherson, Joseph Allyndree, Emer Kennedy, Pádraig Cunningham, Lucile Riaboff
Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data. AICS (2023)
Benn Henderson, Yogarajah Pratheepan, Bryan Gardiner, T. M. McGinnity
3D Human Pose Estimation Model Analysis: Gait Analytics for Autism Spectrum Disorder Detection. AICS (2023)
Aaron R. Flanagan, Frank G. Glavin
A Systematic Review of Multi-Class and One-vs-Rest Classification Techniques for Near-Infrared Spectra of Crop Cultivars. AICS (2023)
Mathew James, Vikas Palakkat, Gareth J. F. Jones
Identifying Influential Citations in Scientific Papers. AICS (2023)
31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023, Letterkenny, Ireland, December 7-8, 2023 AICS (2023)
Hanyang Chen, Zhouting Zhao, Tin Lok James Ng
Fair Machine Learning with Structured and Unstructured Features: A Case Study in Mortality Prediction. AICS (2023)
Buddhika Jayaneththi, Fergal McCaffery, Gilbert Regan
Data Security Challenges in AI-Enabled Medical Device Software. AICS (2023)
Madhumita Srivastava, Paul Greaney
Resume Parsing Across Multiple Job Domains Using a BERT-Based NER Model. AICS (2023)
Karla Aniela Cepeda Zapata, Tomás Ward, Róisín Loughran, Fergal McCaffery
A Review of the Artificial Intelligence Act Proposal and the Medical Device Regulation. AICS (2023)
Mashal Khan, Frank G. Glavin, Matthias Nickles
Empowering Federated Learning: Tackling Client Drift and Resource Constraints with Knowledge Distillation by Combining Losses. AICS (2023)
Puneet Bawa, Virender Kadyan, Muskaan Singh
Comprehensive Phonological Analysis for Clinical Implication Using Self-Attention Based Grapheme to Phoneme Modeling Under Low-Resource Conditions. AICS (2023)
Siddhant Jaydeep Mahajani, Shashank Srivastava, Alan F. Smeaton
A Comparison of Lexicon-Based and ML-Based Sentiment Analysis: Are There Outlier Words? AICS (2023)
Qin Ruan, Brian Mac Namee, Ruihai Dong
Reducing Media Bias in News Headlines. AICS (2023)
Elif Ak, Khayal Huseynov, Berk Canberk, Muhammad Fahim, Octavia A. Dobre, Trung Q. Duong
Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking. AICS (2023)
Gyanendar Manohar, Ruairi O'Reilly
InceptionCaps: A Performant Glaucoma Classification Model for Data-Scarce Environment. AICS (2023)
Temitayo Akinosun, Omar Nibouche
AI-Based Crop Disease Detection: Evaluation of Wheat Rust Disease Detection and Classification Using Deep Learning and Machine Learning Approaches. AICS (2023)
James Garza
Reinforcement Learning for Stock Option Trading. AICS (2023)
Florian Freund, Philippe Tamla, Matthias L. Hemmje
Towards Improving Clinical Practice Guidelines Through Named Entity Recognition: Model Development and Evaluation. AICS (2023)

volume 1662, 2023

Artificial Intelligence and Cognitive Science - 30th Irish Conference, AICS 2022, Munster, Ireland, December 8-9, 2022, Revised Selected Papers AICS 1662 (2023)

volume 3105, 2022

The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, Dublin, Republic of Ireland, December 9-10, 2021. AICS 3105 (2022)