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Publication search results
found 350 matches
- 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: 1-4 - 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: 1-4 - 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: 1-6 - Mohamed Amjath, Shagufta Henna:
Rényi Differential Privacy Analysis of Graph-Based Federated Learning Under Internet of Health Things. AICS 2023: 1-5 - 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: 1-8 - 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: 1-4 - Hanyang Chen, Zhouting Zhao, Tin Lok James Ng:
Fair Machine Learning with Structured and Unstructured Features: A Case Study in Mortality Prediction. AICS 2023: 1-4 - Zachary Dair, Samantha Dockray, Ruairi O'Reilly:
Complex Adaptive Systems and Psychophysiological Data - An Exploratory Approach. AICS 2023: 1-4 - Max Dean, Raymond R. Bond, Michael F. McTear, Maurice D. Mulvenna:
ChatPapers: An AI Chatbot for Interacting with Academic Research. AICS 2023: 1-7 - Oshana Dissanayake, Sarah McPherson, Joseph Allyndree, Emer Kennedy, Pádraig Cunningham, Lucile Riaboff:
Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data. AICS 2023: 1-8 - 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: 1-8 - Florian Freund, Philippe Tamla, Matthias L. Hemmje:
Towards Improving Clinical Practice Guidelines Through Named Entity Recognition: Model Development and Evaluation. AICS 2023: 1-8 - Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness:
Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS 2023: 1-4 - James Garza:
Reinforcement Learning for Stock Option Trading. AICS 2023: 1-4 - James Gillespie, Iñaki Rañó, José Santos, Nazmul H. Siddique:
Reinforcement Learning for Bio-Inspired Stochastic Robot Control. AICS 2023: 1-8 - Mark Gorman, Xuemei Ding, Liam P. Maguire, Damien Coyle:
Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. AICS 2023: 1-6 - 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: 1-8 - Benn Henderson, Yogarajah Pratheepan, Bryan Gardiner, T. M. McGinnity:
3D Human Pose Estimation Model Analysis: Gait Analytics for Autism Spectrum Disorder Detection. AICS 2023: 1-4 - Mathew James, Vikas Palakkat, Gareth J. F. Jones:
Identifying Influential Citations in Scientific Papers. AICS 2023: 1-4 - Buddhika Jayaneththi, Fergal McCaffery, Gilbert Regan:
Data Security Challenges in AI-Enabled Medical Device Software. AICS 2023: 1-6 - Virender Kadyan, Puneet Bawa, Mohd Mujtaba Akhtar, Muskaan Singh:
Speech-Based Alzheimer's Disease Classification System with Noise-Resilient Features Optimization. AICS 2023: 1-4 - Mashal Khan, Frank G. Glavin, Matthias Nickles:
Empowering Federated Learning: Tackling Client Drift and Resource Constraints with Knowledge Distillation by Combining Losses. AICS 2023: 1-6 - Siddhant Jaydeep Mahajani, Shashank Srivastava, Alan F. Smeaton:
A Comparison of Lexicon-Based and ML-Based Sentiment Analysis: Are There Outlier Words? AICS 2023: 1-4 - Gyanendar Manohar, Ruairi O'Reilly:
InceptionCaps: A Performant Glaucoma Classification Model for Data-Scarce Environment. AICS 2023: 1-8 - Jack McShane, Marion McAfee, Eoghan Furey, Kevin Meehan:
RIVERS: Real-Time Identification of Various Environmental Pollutants in Rivers. AICS 2023: 1-6 - 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: 1-7 - Oladosu Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan:
Lightweight Deep Learning for Breast Cancer Diagnosis Based on Slice Selection Techniques. AICS 2023: 1-4 - Kristýna Onderková, Matthias Nickles:
Exploring Abductive Reasoning in Language Models for Data-to-Text Generation. AICS 2023: 1-4 - Gautam Patil, Tanaya Patil, Kishor Wagh:
Bridging Neuroscience and Minds: Exploring Collective Intelligence through Brain Duplication using AI. AICS 2023: 1-4 - Andreea-Clara Pricopi, Pádraig Cunningham:
Social Network Analysis of Irish Covid-19 Interactions on Telegram. AICS 2023: 1-8
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