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ORCID31st AICS 2023: Letterkenny, Ireland
- 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023, Letterkenny, Ireland, December 7-8, 2023. IEEE 2023, ISBN 979-8-3503-6021-9
- Ataklti Kahsay Wolday, Manojkumar Ramteke:
Machine Learning-Assisted Multi-Objective Optimization of Biomass Combustion Process. 1-4 - Andreea-Clara Pricopi, Pádraig Cunningham
:
Social Network Analysis of Irish Covid-19 Interactions on Telegram. 1-8 - Mathew James, Vikas Palakkat, Gareth J. F. Jones:
Identifying Influential Citations in Scientific Papers. 1-4 - Filipe Souza, Diarmuid Grimes, Barry O'Sullivan:
Improved Variable-Relationship Guided LNS for the Data Centre Machine Reassignment Problem. 1-4 - 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. 1-8 - Maryam Basereh, Marie Ward, Una Geary, Una Healy, Mary Fogarty, Annalina Caputo, Rob Brennan:
Automated Transparency Evaluation of Knowledge Graphs for Clinical Risk Governance. 1-8 - Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny:
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images. 1-8 - Kazeem Saheed, Shagufta Henna:
Deep Reinforcement Learning for Advanced Persistent Threat Detection in Wireless Networks. 1-6 - Siddhant Jaydeep Mahajani, Shashank Srivastava, Alan F. Smeaton:
A Comparison of Lexicon-Based and ML-Based Sentiment Analysis: Are There Outlier Words? 1-4 - Elif Ak, Khayal Huseynov, Berk Canberk, Muhammad Fahim, Octavia A. Dobre, Trung Q. Duong:
Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking. 1-4 - Max Dean, Raymond R. Bond, Michael F. McTear, Maurice D. Mulvenna:
ChatPapers: An AI Chatbot for Interacting with Academic Research. 1-7 - Temitayo Akinosun, Omar Nibouche:
AI-Based Crop Disease Detection: Evaluation of Wheat Rust Disease Detection and Classification Using Deep Learning and Machine Learning Approaches. 1-4 - Mohamed Amjath, Shagufta Henna:
Rényi Differential Privacy Analysis of Graph-Based Federated Learning Under Internet of Health Things. 1-5 - Qin Ruan, Brian Mac Namee, Ruihai Dong:
Reducing Media Bias in News Headlines. 1-4 - Kristýna Onderková, Matthias Nickles:
Exploring Abductive Reasoning in Language Models for Data-to-Text Generation. 1-4 - Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Learning Music Representations with wav2vec 2.0. 1-6 - Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia:
Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency. 1-4 - Puneet Bawa, Virender Kadyan, Muskaan Singh:
Comprehensive Phonological Analysis for Clinical Implication Using Self-Attention Based Grapheme to Phoneme Modeling Under Low-Resource Conditions. 1-4 - James Gillespie, Iñaki Rañó, José Santos, Nazmul H. Siddique:
Reinforcement Learning for Bio-Inspired Stochastic Robot Control. 1-8 - Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany:
Using ChatGPT to Generate Gendered Language. 1-8 - Gautam Patil, Tanaya Patil, Kishor Wagh:
Bridging Neuroscience and Minds: Exploring Collective Intelligence through Brain Duplication using AI. 1-4 - Oladosu Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan:
Lightweight Deep Learning for Breast Cancer Diagnosis Based on Slice Selection Techniques. 1-4 - Hanyang Chen, Zhouting Zhao, Tin Lok James Ng:
Fair Machine Learning with Structured and Unstructured Features: A Case Study in Mortality Prediction. 1-4 - Mark Gorman, Xuemei Ding, Liam P. Maguire, Damien Coyle:
Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. 1-6 - James Garza:
Reinforcement Learning for Stock Option Trading. 1-4 - Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness:
Cardiac Magnetic Resonance Phase Detection Using Neural Networks. 1-4 - Florian Freund, Philippe Tamla, Matthias L. Hemmje:
Towards Improving Clinical Practice Guidelines Through Named Entity Recognition: Model Development and Evaluation. 1-8 - D. S. Wijenayake, Shagufta Henna, William Farrelly:
A Graph Neural Network-based Security Posture-aware Cloud Service Provider Selection for Multi-cloud. 1-6 - Gyanendar Manohar, Ruairi O'Reilly:
InceptionCaps: A Performant Glaucoma Classification Model for Data-Scarce Environment. 1-8 - Madhumita Srivastava, Paul Greaney:
Resume Parsing Across Multiple Job Domains Using a BERT-Based NER Model. 1-4 - Karla Aniela Cepeda Zapata, Tomás Ward, Róisín Loughran, Fergal McCaffery:
A Review of the Artificial Intelligence Act Proposal and the Medical Device Regulation. 1-6 - Virender Kadyan, Puneet Bawa, Mohd Mujtaba Akhtar, Muskaan Singh:
Speech-Based Alzheimer's Disease Classification System with Noise-Resilient Features Optimization. 1-4 - Mallikharjuna Rao Sakhamuri, Shagufta Henna, Leo Creedon, Kevin Meehan:
Global-Local Influence Maximization Subgraph Sampling-Based Graph Representation Learning for Innate Immune Response Classification. 1-6 - 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. 1-8 - Zain Ali, Kevin Meehan, Jennifer Hyndman, Thomas Dowling:
Optimising Swarm Robotic Navigation: A Comparative Analysis of Fastest Path vs. Nearest Neighbour Path Projection Strategies. 1-6 - Maliheh Heidarpour Shahrezaei, Róisín Loughran, Kevin Mc Daid:
Pre-processing Techniques to Mitigate Against Algorithmic Bias. 1-4 - Abdul Shahid, Danny Diamond, James McDermott, Mathieu d'Aquin:
Ensemble Machine Learning Models for Root Note Detection in Irish Instrumental Dance Music. 1-8 - Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia:
Air Pollution Monitoring Using Online Recurrent Extreme Learning Machine. 1-6 - Oshana Dissanayake, Sarah McPherson, Joseph Allyndree, Emer Kennedy, Pádraig Cunningham, Lucile Riaboff:
Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data. 1-8 - Benn Henderson, Yogarajah Pratheepan, Bryan Gardiner, T. M. McGinnity:
3D Human Pose Estimation Model Analysis: Gait Analytics for Autism Spectrum Disorder Detection. 1-4 - 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. 1-8 - Jack McShane, Marion McAfee, Eoghan Furey, Kevin Meehan:
RIVERS: Real-Time Identification of Various Environmental Pollutants in Rivers. 1-6 - Mashal Khan, Frank G. Glavin, Matthias Nickles:
Empowering Federated Learning: Tackling Client Drift and Resource Constraints with Knowledge Distillation by Combining Losses. 1-6 - Paul Trust, Rosane Minghim:
Query-Focused Submodular Demonstration Selection for In-Context Learning in Large Language Models. 1-8 - Evan O'Riordan, Frank G. Glavin, Colm O'Riordan:
On the Emergence of Fairness in the Evolutionary Dictator Game with Edge Weight Learning. 1-7 - Zachary Dair, Samantha Dockray, Ruairi O'Reilly:
Complex Adaptive Systems and Psychophysiological Data - An Exploratory Approach. 1-4 - Buddhika Jayaneththi, Fergal McCaffery, Gilbert Regan:
Data Security Challenges in AI-Enabled Medical Device Software. 1-6
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