yusuke1997/dblp-id-title huggingface dataset:
Temporal Word Embeddings for Dynamic User Profiling in Twitter
Street Navigation for Visual Impairment using CNN and Transformer Models
Improved Learning for Hidden Markov Models Using Penalized Training
ADNet: A Deep Network for Detecting Adverts
"An bhfuil Gaeilge agat?": Differences in user interaction and assistant responses across languages of European origin in large-scale conversational datasets
Noise in Reasoning as a Cause of the Conjunction Fallacy
Identifying Extra-terrestrial Intelligence Using Machine Learning
A Decision Support System for Energy Storage Traders
A Global Post Hoc XAI Method For Interpreting LSTM Using Deterministic Finite State Automata
Use of Enterprise Social Software to Support Organization and People Sensemaking
Where's the Why? In Search of Chains of Causes for Query Events
Leveraging Pharmacy Medical Records To Predict Diabetes Using A Random Forest & Artificial Neural Network
Multi-Resolution Forecast Aggregation for Time Series in Agri Datasets
Tell Me Who Are Your Friends, and I'll Tell You Who You Are
Identifying Subject Bias in WiFi-based Human Activity Recognition Evaluation Methods
Arrhythmia Detection in ECG Signals Using a Multilayer Perceptron Network
Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation
Streetseek - Understanding Public Space Engagement Using Deep Learning & Thermal Imaging
Graph-Based Diffusion Method for Top-N Recommendation
A Machine Learning Approach to Industry Classification in Financial Markets
Geoff: A Linked Data Vocabulary for Describing the Form and Function of Spatial Objects
Linguistic and Gender Variation in Speech Emotion Recognition Using Spectral Features
Empowering Federated Learning: Tackling Client Drift and Resource Constraints with Knowledge Distillation by Combining Losses
Towards an Optimised Vehicle Detection Algorithm for Multi-Object Tracking in Traffic Surveillance
Evaluation of Data Mining Techniques for Two Child-related Social Problems
Combining Local Search and Genetic Algorithm for Two-Dimensional Guillotine Bin Packing Problems with partial sequence constraint
She Just Doesn't Understand Me! Curing Alexa of her Alexithymia
Classifying Languages Based on Speech Rhythm
Using Navigable Small Worlds to Speed Up Time-Series Classification
Investigating the Impact of Unsupervised Feature-Extraction from Multi-Wavelength Image Data for Photometric Classification of Stars, Galaxies and QSOs
First Insights on a Passive Major Depressive Disorder Prediction System with Incorporated Conversational Chatbot
Identifying Urban Canopy Coverage from Satellite Imagery Using Convolutional Neural Networks
A Real-Time Prediction System for Restaurant Orders Using Time Series and Behavioural Analytics: A Conceptual Framework
Inferring Waypoints Using Shortest Paths
A Multi-class Approach - Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning
The Enhanced Ranked List
Exploring a Perceptually-Weighted DNN-based Fusion Model for Speech Separation
Combination Methods for Improving the Reliability of Machine Translation Based Cross-Language Information Retrieval
Ensemble Machine Learning Models for Root Note Detection in Irish Instrumental Dance Music
How Augmented Reality Beauty Filters Can Affect Self-perception
Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit
Detection of Malicious VBA Macros using Machine Learning Methods
Automatic Speech Recognition Models for Pathological Speech: Challenges and Insights
Resume Parsing Across Multiple Job Domains Using a BERT-Based NER Model
A Graph Neural Network-based Security Posture-aware Cloud Service Provider Selection for Multi-cloud
On Using Temporal Features to Create More Accurate Human-Activity Classifiers
Investigating the Impact of Internal Inputs on Mmultisensory Integration: A Study of External Multisensory Inputs and Internal Arousal
Building High Usability Consumer-oriented Linked Data Mobile Apps
A Machine Learning Approach for Modeling and Analyzing of Driver Performance in Simulated Racing
Agency Attribution and Temporal Binding. Towards a New Model of Time Perception
An Evacuation Route Model for Disaster Affected Areas
Improved Speech Synthesis using Generative Adversarial Networks
Comparing Joint Speech and Synchronous Speech: What Happens When We Add More Speakers?
A Topic-Based Approach to Multiple Corpus Comparison
On-line Reinforcement Learning for Trajectory Following with Unknown Faults
A Review of the Artificial Intelligence Act Proposal and the Medical Device Regulation
Synthetic Data for Unsupervised Polyp Segmentation
Synthesising Tabular Data using Wasserstein Conditional GANs with Gradient Penalty (WCGAN-GP)
CouRGe: Counterfactual Reviews Generator for Sentiment Analysis
A Computational Lymph Tissue Model for Long Term HIV Infection Progression and Immune Fitness
An Intelligent Linked Data Quality Dashboard
Steady State RF Fingerprinting for Identity Verification: One Class Classifier versus Customized Ensemble
Identifying Influential Citations in Scientific Papers
An Evaluation of the Impact of Training Data Locality on the Effectiveness of Knowledge Graph Embeddings Models
Benchmarking Multi-label Classification Algorithms
Sign Language Fingerspelling Recognition using Synthetic Data
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
On the Validity of Bayesian Neural Networks for Uncertainty Estimation
Artificial Intelligence and Cognitive Science, 13th Irish International Conference, AICS 2002, Limerick, Ireland, September 12-13, 2002, Proceedings
A Comparison of Deep Learning Models in Human Activity Recognition and Behavioural Prediction on the MHEALTH Dataset
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs
Neural Architecture Search using Particle Swarm and Ant Colony Optimization
A Psychologist Chatbot Developing Experience
Explanation-based Ranking in Opinionated Recommender Systems
Identifying Complaints from Product Reviews: A Case Study on Hindi
Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles
31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023, Letterkenny, Ireland, December 7-8, 2023
The Feasibility of Machine Learning for Query Answering - An Experiment in Two Domains
Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data
An Investigation into the Application of Anomaly Detection and the Meijering Filter in the eKYC Process to Detect Recaptured Identity Documents
TensorFlow Enabled Deep Learning Model Optimization for enhanced Realtime Person Detection using Raspberry Pi operating at the Edge
Finding Short Lived Events on Social Media
A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning
Modelling Expected Threat in Gaelic Football using a Markov Chain Approach
Domain Randomization for Object Counting
Virtual Tutor Personality in Computer Assisted Language Learning
A Novel Approach to Recommendation Algorithm Selection using Meta-Learning
Malware Classification Using Static Disassembly and Machine Learning
Privacy-Enhanced ZKP-Inspired Framework for Balanced Federated Learning
Evaluating Load Adjusted Learning Strategies for Client Service Levels Prediction from Cloud-hosted Video Servers
Analysis of Attention Mechanisms in Box-Embedding Systems
AI and ML in School Level Computing Education: Who, What and Where?
Deconvolutional Pixel Layer Model for Road segmentation without Human Assistance
Machine Learning in Space: A Review of Machine Learning Algorithms and Hardware for Space Applications
Experiments in Sparsity Reduction: Using Clustering in Collaborative Recommenders
A System for Music Information Retrieval
Representational and Embodied Accounts of Abstract Concepts: A Framework for Prelinguistic Acquisition of Numerical Cognition
Improved Variable-Relationship Guided LNS for the Data Centre Machine Reassignment Problem
SceneMaker: Intelligent Multimodal Visualisation of Natural Language Scripts
Combining Case-Based Reasoning and Analogical Reasoning in Software Design
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure
Buzzer - Online Real-Time Topical News Article and Source Recommender
Air Pollution Monitoring Using Online Recurrent Extreme Learning Machine
An Analysis of Order Dependence in k -NN
Coherence, Explanation, and Bayesian Networks
Speaking Autonomous Intelligent Devices
Bayesian Optimization with Multi-objective Acquisition Function for Bilevel Problems
Reinforcement Learning for Bio-Inspired Stochastic Robot Control
Towards a Deep Learning-based Activity Discovery System
Practical Development of Hybrid Intelligent Agent Systems with SoSAA
On the Emergence of Fairness in the Evolutionary Dictator Game with Edge Weight Learning
Using ChatGPT to Generate Gendered Language
Supervised and Unsupervised Approaches to the Ontology-Based Disambiguation of JSON Documents
Evaluation of Analogical Inferences Formed from Automatically Generated Representations of Scientific Publications
Rapid Quantification of NaDCC for Water Purification Tablets in Commercial Production Using ATR-FTIR Spectroscopy Based on Machine Learning Techniques
Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Face Embedding
Towards Understanding Deep Representations in CNN: from Concepts to Relations Extraction via Knowledge Graphs
Variable-Relationship Guided LNS for the Car Sequencing Problem
An Interactive Learning Environment for Knowledge Engineering
Kernel Methods for Time Series Classification and Regression
Physical Activity Motivating Games
Empirical Comparative Analysis of 1-of-K Coding and K-Prototypes in Categorical Clustering
The Impact of Feature Quantity on Recommendation Algorithm Performance
Abusive Text Detection Using Neural Networks
An Investigation into Information Navigation via Diverse Keyword-based Facets
Neuro-symbolic System for Forecasting Red Tides
Combining Ensembles of Multi-Input Multi-Output Subnetworks and Data Augmentation Does not Harm Your Calibration
Rényi Differential Privacy Analysis of Graph-Based Federated Learning Under Internet of Health Things
A New Bayesian Network Structure for Classification Tasks
Automatic Linking of Podcast Segments to Topically Related Webpages
Analysis of Machine Learning Methods for Predicting Stock Prices
Towards Improving Clinical Practice Guidelines Through Named Entity Recognition: Model Development and Evaluation
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020
Norm Convergence in Populations of Dynamically Interacting Agents
Generative AI-Enabled Chatbot for Improving Students Understanding and Awareness of Academic Integrity Policies
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2016, Dublin, Ireland, September 20-21, 2016
Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights
DNS Traffic Analysis for Botnet Detection
A Prediction Market for Toxic Assets
Complex Adaptive Systems and Psychophysiological Data - An Exploratory Approach
Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State
Machine Learning Methods Applied to Building Energy Production and Consumption Prediction
Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us
Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, Dublin, Ireland, December 6-7th, 2018
Sentiment Analysis: Using Detrended Fluctation Analysis of EEG Signals in Natural Reading
Robust 3D U-Net Segmentation of Macular Holes
Intelligent Image Compression Using Traffic Scene Analysis
Bridging Neuroscience and Minds: Exploring Collective Intelligence through Brain Duplication using AI
Decision Making is Caused by Information Processing and Emotion: A Synthesis of Two Approaches to Explain the Phenomenon of Confirmation Bias
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data
An Assessment of Machine Learning Techniques for Review Recommendation
Towards the Control of Epidemic Spread: Designing Reinforcement Learning Environments
Semi-Supervised Overlapping Community Finding with Pairwise Constraints
Back-translation Approach for Code-switching Machine Translation: A Case Study
Multi-Graph Convolutional Neural Network for Breast Cancer Multi-task Classification
Impact of Different Levels of Difficulty on Immersion in Video Games
A System for Multi-agent Information Retrieval
Challenges Associated with the Adoption of Artificial Intelligence in Medical Device Software
Back-filling Missing Data When Predicting Domestic Electricity Consumption From Smart Meter Data
RIVERS: Real-Time Identification of Various Environmental Pollutants in Rivers
Deep Learning Pipeline for Blood Cell Segmentation, Classification and Counting
A Comparison of Lexicon-Based and ML-Based Sentiment Analysis: Are There Outlier Words?
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images
AICat: An AI Cataloguing Approach to Support the EU AI Act
Active Learning for the Text Classification of Rock Climbing Logbook Data
Learning without Default: A Study of One-Class Classification and the Low-Default Portfolio Problem
Speech-Based Alzheimer's Disease Classification System with Noise-Resilient Features Optimization
Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Galway, Ireland, December 5-6, 2019
CodEX: Source Code Plagiarism Detection Based on Abstract Syntax Tree
Analysis of Risk Factors and Diagnosis for Anxiety Disorder in Older People with the Aid of Artificial Intelligence: Observational Study
Characterizing Multi-Source Data for Effective Urban Mobility Modelling: The Case of New York City
Automatic Vehicle Ego Body Extraction for Reducing False Detections in Automated Driving Applications
Towards Robust Collaborative Filtering
AI-Based Crop Disease Detection: Evaluation of Wheat Rust Disease Detection and Classification Using Deep Learning and Machine Learning Approaches
Sentiment Analysis of Online Reviews Using Bag-of-Words and LSTM Approaches
Demand Prediction for Shared Mobility Services using Time Series Modelling
Things Could Have Been Worse - The Counterfactual Nature of Gratitude
How People Compare an Item's Placement in Two Alternative Categories
Approaches and Techniques for Analysing WiFi Location Data
Optimising Swarm Robotic Navigation: A Comparative Analysis of Fastest Path vs. Nearest Neighbour Path Projection Strategies
Modeling Implicit Attitudes with Natural Language Data: A Comparison of Language Models
Incorporating Explainable Artificial Intelligence (XAI) to aid the Understanding of Machine Learning in the Healthcare Domain
The Impact of CLIP Encoders and CNN Architectures on Model Efficiency: A Case Study on Hate Speech Detection
On the Benefits of Bluntness in Virtual Characters for Motivational Interviews
Comparison and Analysis of 3 Key AI Documents: EU's Proposed AI Act, Assessment List for Trustworthy AI (ALTAI), and ISO/IEC 42001 AI Management System
Multi-Objective Mixed Bus Fleet Charging Schedule Problem with Time-of-Use for real-world data-sets
Nearest Neighbour-Based Data Augmentation for Time Series Forecasting
3D Human Pose Estimation Model Analysis: Gait Analytics for Autism Spectrum Disorder Detection
From VR-Participation Back to Reality - an AI&VR-driven Approach for Building Models for Effective Communication in e-Participation
NLP-Based Analysis of Annual Reports: Asset Volatility Prediction and Portfolio Strategy Application
An Evaluation of Features Extracted from Facial Images in the Context of Accurate Age Estimation
Robustness Analysis of Model-Based Collaborative Filtering Systems
Exploring Abductive Reasoning in Language Models for Data-to-Text Generation
Run-Time Norms Synthesis in Dynamic Environments with Changing Objectives
Evaluating Preference-Based Feedback in Recommender Systems
Personalised Filter Bias with Google and DuckDuckGo: An Exploratory Study
Image Retrieval with Short Text Queries
Exploring Composite Dataset Biases for Heart Sound Classification
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data
Spot the Fake Lungs: Generating Synthetic Medical Images Using Neural Diffusion Models
Nostalgic Sentiment Analysis of YouTube Comments for Chart Hits of the 20th Century
Cyclic Dominance in the Spatial Coevolutionary Optional Prisoner's Dilemma Game
A Comparative Study of SVM and LSTM Deep Learning Algorithms for Stock Market Prediction
LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study
An Evaluation of the GhostWriter System for Case-Based Content Suggestions
Relevance-Redundancy Dominance: A Threshold-Free Approach to Filter-Based Feature Selection
An Open Data Driven Epidemiological Agent-Based Model for Irish Towns
An Evaluation of Convolutional Neural Network Models for Object Detection in Images on Low-End Devices
Machine Learning-Assisted Multi-Objective Optimization of Biomass Combustion Process
Mitigation of Unintended Biases against Non-Native English Texts in Sentiment Analysis
Lightweight Deep Learning for Breast Cancer Diagnosis Based on Slice Selection Techniques
An Intelligent Empowering Agent (IEA) to Provide Easily Understood and Trusted Health Information Appropriate to the User Needs
A Systematic Review of Multi-Class and One-vs-Rest Classification Techniques for Near-Infrared Spectra of Crop Cultivars
Intentional Forgetting: Investigating Interpretations and Future Potentials of Cognitive Control
Autonomous Satellite Health Monitoring using EIRSAT-1 Telemetry
Debated Backpropagation
The Digital Transformation of Irish Non-Profit Organisations
Design of a Musical Instrument Classifier System Based on Mel Scaled Cepstral Coefficient Supervectors and a Supervised Two-Layer Feedforward Neural Network
Artificial Intelligence and Cognitive Science - 20th Irish Conference, AICS 2009, Dublin, Ireland, August 19-21, 2009, Revised Selected Papers
Adoption, Architecture and Technology of Enterprise IoT Systems - Towards a Framework of Concerns in IoT Environments
Using Latent Semantic Indexing as a Measure of Conceptual Association for Noun Compound Disambiguation
Automatic Differentiation and Ubiquitous Adaptive Computing
Customising a Copying-Identifier for Biomedical Science Student Reports: Comparing Simple and Smart Analyses
An Empirical Comparison of Syllabuses for Curriculum Learning
Inferring Waypoints in the Absence of Knowledge of Driving Style
Machine Learning Physical Fatigue Estimation Approach Based on IMU and EMG Wearable Sensors
Profiling, Assessing and Matching Personalities Active in Social Media
Creating Visualizations: A Case-Based Reasoning Perspective
Towards Automatic Blotch Detection for Film Restoration by Comparison of Spatio-Temporal Neighbours
k-Most-Influential Neighbours: Noise-Resistant kNN
Extending Jensen Shannon Divergence to Compare Multiple Corpora
Social Network Analysis of Irish Covid-19 Interactions on Telegram
Exploring Abstractive vs. Extractive Summarisation Techniques for Sports News
Evaluation of Interest and Coherence in Machine Generated Stories
An Explainable Genetic Programming Approach to Safely Predict Cyberbullying Occurrence in Ireland
Manipulating Moral Dumbfounding: Inhibiting the Identification of Reasons
InceptionCaps: A Performant Glaucoma Classification Model for Data-Scarce Environment
Handling Class Imbalance via Counterfactual Generation in Medical Datasets
Genetic Repair Strategies Inspired by Arabidopsis thaliana
Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency
Analysis of Cryptocurrency Commodities with Motifs and LSTM
An Interactive Story Engine
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis
Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability
The Sound of Silence: How Traditional and Deep Learning Based Voice Activity Detection Influences Speech Quality Monitoring
Recovering High-Level Structure of Software Systems Using a Minimum Description Length Principle
On the Relationship between Sampling Rate and Hidden Markov Models Accuracy in Non-Intrusive Load Monitoring
A Data-Driven Analysis of Formula 1 Car Races Outcome
Capturing Data in the Presence of Noise for Artificial Intelligence Systems
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network
Novel2Vec: Characterising 19th Century Fiction via Word Embeddings
Author Gender Identification Considering Gender Bias
Detecting Hacker Threats: Performance of Word and Sentence Embedding Models in Identifying Hacker Communications
Collective Intelligence in the Social Web
A Hybridised GA for the Steiner Minimal Tree Problem
Sentiment Evaluation: User, Business Assessment and Hashtag Analysis
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7 - 8, 2017
Investigations into Market Index Trading Models Using Evolutionary Automatic Programming
Solving the Real Robot Challenge Using Deep Reinforcement Learning
Entity Resolution for Multiple Sources with Extended Approach
Milan: Automatic Generation of R2RML Mappings
Investigation of Localised Centrality Metrics for Collaborative Networks: What Can They Reveal?
WiFi-Based Human Activity Recognition Using Attention-Based BiLSTM
Unimodal and Multimodal Representation Training for Relation Extraction
The Effect of Query Length on Normalisation in Information Retrieval
Mapping Upper Secondary Computer Science Specifications Against UNESCO's Framework of AI Learning Outcomes
Using Text Classification Methods to Detect Malware
Finding Agents in a Two-Dimensional Boolean STaM
Fine-Tune it Like I'm Five: Supporting Medical Domain Experts in Training NER Models Using Cloud, LLM, and Auto Fine-Tuning
Mitigating Bias in Medical Datasets: A Comparative Analysis of Generative Adversarial Networks (GANs) Based Data Generation Techniques
Data Security Challenges in AI-Enabled Medical Device Software
Neural Architecture Search for Crop Yield Prediction using Multimodal Data
GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing
Loan Default Prediction Using Spark Machine Learning Algorithms
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks
A Survey of Recent Trends in One Class Classification
Just Say It: An Evaluation of Speech Interfaces for Augmented Reality Design Applications
ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers
Pre-processing Techniques to Mitigate Against Algorithmic Bias
AI-Informed Development for a Lactate Measurement Tool
A Comparison of k-NN Methods for Time Series Classification and Regression
Data Poisoning Attacks in the Training Phase of Machine Learning Models: A Review
Cryptocurrency Volatility Index: An Efficient Way to Predict the Future CVI
Learning Music Representations with wav2vec 2.0
A Machine Learning System for Identifying Hypertrophy in Histopathology Images
An Investigation of Transfer Learning for a Lifelog Dataset
How Short is a Piece of String? : The Impact of Text Length and Text Augmentation on Short-text Classification
An Empirical Comparison of Particle Swarm and Predator Prey Optimisation
Inferring Destination from Mobility Data
A Cognitive Learning Model that Combines Feature Formation and Event Prediction
Assessing the Usefulness of Different Feature Sets for Predicting the Comprehension Difficulty of Text
Conversational AI: Social and Ethical Considerations
Aerial Object Detection for Water-Based Search & Rescue
Convolutional Neural Network-based Automatic Prediction of Judgments of the European Court of Human Rights
Pinyin as Subword Unit for Chinese-Sourced Neural Machine Translation
Towards a Temporal Deep Learning Model to Support Sustainable Agricultural Practices