Pádraig Cunningham
ScholarGPS® ID: 99989766953513
Affiliation History
Discipline
Computer Science
Top Specialties
Artificial Intelligence | Machine Learning | Knowledge Extraction | Multimedia | Social Network | Bioinformatics | Neural Network | Decision Support System | Knowledge Engineering | Social Media | Adaptation | Artificial Neural Network | Control Theory | Data Mining | Pattern Recognition
Metrics Summary
Publication Count
171
Predicted Citations
8,647
Predicted h-index
50
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS) (2023) Letterkenny, Ireland |
2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS) (2023) Letterkenny, Ireland |
2023 IEEE 19th International Conference on Body Sensor Networks (BSN) (2023) Boston, MA, USA |
Addressing Underestimation Bias in CBR Through Case-Base Maintenance (book chapter) In Case-Based Reasoning Research and Development Springer Nature Switzerland (2023) |
Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves (book chapter) In Advanced Analytics and Learning on Temporal Data Springer International Publishing (2023) |
k-Nearest Neighbour Classifiers - A Tutorial (journal article) ACM Computing Surveys, volume 54, issue 6, pages 1-25 (2022). |
Detecting voids in 3D printing using melt pool time series data (journal article) Journal of Intelligent Manufacturing, volume 33, issue 3, pages 845-852 (2022). |
An empirical evaluation of kernels for time series (journal article) Artificial Intelligence Review, volume 55, issue 3, pages 1803-1820 (2022). |
Algorithmic Bias and Fairness in Case-Based Reasoning (book chapter) In Case-Based Reasoning Research and Development Springer International Publishing (2022) |
Feature Subset Selection for Detecting Fatigue in Runners Using Time Series Sensor Data (book chapter) In Pattern Recognition and Artificial Intelligence Springer International Publishing (2022) |
Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data (book chapter) In Machine Learning and Data Mining for Sports Analytics Springer International Publishing (2022) |
The Knowledge Engineering Review, volume 37 (2022). |
Algorithmic Factors Influencing Bias in Machine Learning (book chapter) In Machine Learning and Principles and Practice of Knowledge Discovery in Databases Springer International Publishing (2021) |
Underestimation Bias and Underfitting in Machine Learning (book chapter) In Trustworthy AI - Integrating Learning, Optimization and Reasoning Springer International Publishing (2021) |
An Evaluation of Classification Methods for 3D Printing Time-Series Data (journal article) IFAC-PapersOnLine, volume 53, issue 2, pages 8211-8216 (2020). |
A Feature Selection Method for Multi-dimension Time-Series Data (book chapter) In Advanced Analytics and Learning on Temporal Data Springer International Publishing (2020) |
Scoring Performance on the Y-Balance Test (book chapter) In Case-Based Reasoning Research and Development Springer International Publishing (2019) |
Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18} (2018) Stockholm, Sweden |
An Analysis of Case Representations for Marathon Race Prediction and Planning (book chapter) In Case-Based Reasoning Research and Development Springer International Publishing (2018) |
RecSys '17: Eleventh ACM Conference on Recommender Systems (2017) Como Italy |