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ORCID32nd AICS 2024: Dublin, Ireland
- Arjun Pakrashi, Ellen Rushe, Brian Mac Namee, Rob Brennan, Beyza Yaman:
Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 9-10, 2024. CEUR Workshop Proceedings 3910, CEUR-WS.org 2025 - Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew:
Tangentially Aligned Integrated Gradients for User-Friendly Explanations. 1-12 - Eric Ferreira Dos Santos, Alessandra Mileo:
Towards Understanding Deep Representations in CNN: from Concepts to Relations Extraction via Knowledge Graphs. 13-25 - Gargi Gupta, Luca Longo, Muhammad Atif Qureshi:
A Global Post Hoc XAI Method For Interpreting LSTM Using Deterministic Finite State Automata. 26-38 - Aidan Murphy, Mahsa Mahdinejad, Syed Saeed Ahmad, Joe Kenny, Anthony Ventresque:
An Explainable Genetic Programming Approach to Safely Predict Cyberbullying Occurrence in Ireland. 39-50 - Gabriele Sanguin, Arjun Pakrashi, Marco Viola, Francesco Rinaldi:
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks. 51-63 - Mugdha Srivastava, Abhishek Kaushik, Róisín Loughran, Kevin McDaid:
Data Poisoning Attacks in the Training Phase of Machine Learning Models: A Review. 64-75 - Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan:
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure. 76-88 - John Magee, Stephen Sheridan, Christina Thorpe:
An Investigation into the Application of Anomaly Detection and the Meijering Filter in the eKYC Process to Detect Recaptured Identity Documents. 89-101 - Asifa Mehmood Qureshi, Abhishek Kaushik, Gilbert Regan, Kevin McDaid, Fergal McCaffery:
Handling Class Imbalance via Counterfactual Generation in Medical Datasets. 102-113 - Vuong M. Ngo, Geetika Sood, Fionnuala Donohue, Patricia M. Kearney, Jennifier Pallin, Mark Roantree:
Exploring Chronic Disease Trends among Adults in the USA: A Statistical Analysis with Visual Insights. 114-126 - Kesego Mokgosi, Cathy Ennis, Robert J. Ross:
Automatic Speech Recognition Models for Pathological Speech: Challenges and Insights. 127-137 - Gillian Cameron, Maurice D. Mulvenna, Raymond R. Bond, Edel Ennis, Siobhan O'Neill, David Cameron, Alex Bunting:
How do Employees Engage Within an Online Wellbeing Platform? Insights From Association Rule Mining Analysis. 138-150 - Michael O'Mahony, Cathy Ennis, Robert J. Ross:
On the Benefits of Bluntness in Virtual Characters for Motivational Interviews. 151-163 - Delaram Golpayegani, Harshvardhan J. Pandit, Dave Lewis:
AICat: An AI Cataloguing Approach to Support the EU AI Act. 164-176 - Alexander Porshnev, Kevin Dirk Kiy, Diarmuid P. O'Donoghue, Manokamna Singh, Cai Wingfield, Dermot Lynott:
Modeling Implicit Attitudes with Natural Language Data: A Comparison of Language Models. 177-188 - Huan Chen, Gareth Jones, Rob Brennan:
An Examination of Embedding Methods for Entity Comparison in Text-Rich Knowledge Graphs. 189-201 - Aldan Creo:
"An bhfuil Gaeilge agat?": Differences in user interaction and assistant responses across languages of European origin in large-scale conversational datasets. 202-214 - Joyce Mahon, Brian Mac Namee, Brett A. Becker:
Mapping Upper Secondary Computer Science Specifications Against UNESCO's Framework of AI Learning Outcomes. 215-227 - Xiao Li, Yang Xu, Linyi Yang, Yue Zhang, Ruihai Dong:
NLP-Based Analysis of Annual Reports: Asset Volatility Prediction and Portfolio Strategy Application. 228-240 - Padraigh Jarvis, Laura Climent, Alejandro Arbelaez:
Multi-Objective Mixed Bus Fleet Charging Schedule Problem with Time-of-Use for real-world data-sets. 241-253 - Tonny Rutayisire, Jun Liu, Samuel Moore, Carlos Balsas:
Characterizing Multi-Source Data for Effective Urban Mobility Modelling: The Case of New York City. 254-265 - Christof Kälin, Ellen Rushe, Stefan Kull, Andrew McCarren:
The Impact of CLIP Encoders and CNN Architectures on Model Efficiency: A Case Study on Hate Speech Detection. 266-278 - James Murphy, Muhammad Deedahwar Mazhar Qureshi, Jake O'Brien, Brian Mac Namee:
Autonomous Satellite Health Monitoring using EIRSAT-1 Telemetry. 279-289 - Amir Arzy, Fereshteh Khodaparast, Ruairi O'Reilly:
A Real-Time Prediction System for Restaurant Orders Using Time Series and Behavioural Analytics: A Conceptual Framework. 290-300 - Amany Elkelany, Robert J. Ross, Susan McKeever:
Identifying Subject Bias in WiFi-based Human Activity Recognition Evaluation Methods. 301-313 - Zahra Azizi, Jason Chan, Tomas Ward, Annalisa Setti:
Investigating the Impact of Internal Inputs on Mmultisensory Integration: A Study of External Multisensory Inputs and Internal Arousal. 314-322 - Malik Awais Khan, Aurelia Power, Peter Corcoran, Christina Thorpe:
An Evaluation of Features Extracted from Facial Images in the Context of Accurate Age Estimation. 323-335 - Ciaran Sheelan, Kevin McDaid, Jack McDonnell:
Modelling Expected Threat in Gaelic Football using a Markov Chain Approach. 336-347 - Mohamed Ashik Shahul Hameed, Asifa Mehmood Qureshi, Abhishek Kaushik:
Mitigating Bias in Medical Datasets: A Comparative Analysis of Generative Adversarial Networks (GANs) Based Data Generation Techniques. 348-360 - Xianjuan Chen, Shuxiang Cai, Alan F. Smeaton:
Back-filling Missing Data When Predicting Domestic Electricity Consumption From Smart Meter Data. 361-373 - Lukas Wegmeth:
The Impact of Feature Quantity on Recommendation Algorithm Performance. 374-383 - Heera Lal Khatri, Paul Greaney, Jade Lyons, Thomas Dowling:
Neural Architecture Search for Crop Yield Prediction using Multimodal Data. 384-396 - Ojas Rane, Brian Mac Namee, Conor Nugent:
Image Retrieval with Short Text Queries. 397-407 - Claudio González, Faithful Onwuegbuche:
Generative AI-Enabled Chatbot for Improving Students Understanding and Awareness of Academic Integrity Policies. 408-420 - Matt Mallen, Derek Bridge:
k-Most-Influential Neighbours: Noise-Resistant kNN. 421-433 - Cian Kiely, Nicola Rossberg, Shree Krishnamoorth, Andrea Visentin:
AI-Informed Development for a Lactate Measurement Tool. 434-446 - Hasan Ali, Faithful Chiagoziem Onwuegbuche:
Street Navigation for Visual Impairment using CNN and Transformer Models. 447-459 - Abhijeet Rao, Kiang Wei Kho, Vitaliy Mykytiv, Andrea Visentin:
Deep Learning Pipeline for Blood Cell Segmentation, Classification and Counting. 460-472 - Marjia Siddik, Harshvardhan Jitendra Pandit:
Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation. 473-485 - Suraj Prasannan Nair, Marco Sica, Salvatore Tedesco, Andrea Visentin:
Machine Learning Physical Fatigue Estimation Approach Based on IMU and EMG Wearable Sensors. 486-498
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last updated on 2026-01-29 02:23 CET by the dblp team
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