Wind power forecasting using ensemble learning for day-ahead energy trading
Andrés L. Suárez-Cetrulo, Lauren Burnham-King, David Haugthon, Ricardo Simón Carbajo, Renewable Energy, 2022, ISSN 0960-1481, https://doi.org/10.1016/ j.renene.2022.04.032.
Spatiotemporal Analysis of NO2 Production Using TROPOMI Time-Series Images and Google Earth Engine in a Middle Eastern Country
Rabiei-Dastjerdi, H.; Mohammadi, S.; Saber, M.; Amini, S.; McArdle, G. Remote Sens. 2022, 14, 1725. https://doi.org/10.3390/rs14071725
City-region or city? That is the question: modelling sprawl in Isfahan using geospatial data and technology
 Hamidreza Rabiei-Dastjerdi, Saeid Amini, Gavin McArdle & Saeid Homayouni, GeoJournal (2022)
Assessment of machine learning algorithms in land use classification
Hassan Khavarian Nehzak, Maryam Aghaei, Raoof Mostafazadeh, Hamidreza Rabiei-Dastjerdi, Computers in Earth and Environmental Sciences, Elsevier 2022
Evaluation of land use change predictions using CA-Markov model and management scenarios
Hassan Khavarian Nehzak, Maryam Aghaei, Raoof Mostafazadeh, Hamidreza Rabiei-Dastjerdi, Computers in Earth and Environmental Sciences, Elsevier 2022
Preserving Privacy in Private Blockchain Networks
Ariappampalayam Krishnamoorthi, P., Shahid, S., Boydell, O., In: Lee K., Zhang LJ. (eds) Blockchain – ICBC 2021. ICBC 2021. Lecture Notes in Computer Science, vol 12991. Springer, Cham. https://doi.org/10.1007/978-3-030-96527-3_8
Disclosure and Engagement on Social Media in Iranian Context
Mehrdad Koohikamali, Hossein Kermani, Hamidreza Rabiei-Dastjerdi, AMCIS 2021
Coyote: A Dataset of Challenging Scenarios in Visual Perception for Autonomous Vehicles (2021)
Gupta, S, Ullah, I., Madden, M.G., Robust and Reliable Autonomy in the Wild (R2AW) in 30th International Joint Conference on Artificial Intelligence (IJCAI-21).
Multi-task transfer learning for finding actionable information from crisis-related messages on social media (PFD)
Wang, C., Lillis, D., Proceedings of the Twenty-Ninth Text REtreival Conference (TREC 2020), Gaithersburg, MD, USA, 2021.
Novel Exploratory Spatiotemporal Analysis to Identify Sociospatial Patterns at Small Areas Using Property Transaction Data in Dublin (PdF) 2021
Rabiei-Dastjerdi, H., McArdle, G., Land 2021, doi:10.3390/land10060566
Identifying the Level of Diabetic Retinopathy Using Deep Convolutional Neural Network (PDF)
Hassan, R., Rahman, M. A., Ullah, I. Hamdan Alenezi, A., Rassem, T.H., 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE), Bangladesh, 2020, pp. 1-6, doi: 10.1109/ETCCE51779. 2020.9350905.
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation.
Anda, F., Becker, B., Lillis, D., Le-Khac, NA., Scanlon, M., International Conference on Cyber Security and Protection of Digital Services (Cyber Security), pages 1–8, Dublin, Ireland, June 2020.
Identifying Patterns of Neighbourhood Change Based on Spatiotemporal Analysis of Airbnb Data in Dublin
Rabiei-Dastjerdi, H., McArdle, G., ICSGSC (4th International Conference on Smart Grid and Smart Cities), 18-21 August, Osaka, Japan.
Urban Consumption Patterns: OpenStreetMap Quality for Social Science Research
Rabiei-Dastjerdi, H., McArdle, G., Ballatore, A., GISTAM2020 (International Conference on Geographical Information Systems Theory, Applications and Management), 7-8 May, Prague.
On the Evaluation of Data Fusion for Information Retrieval (PDF)
Lillis, D., Forum for Information Retrieval Evaluation (FIRE ’20), Hyderabad, India, Dec. 2020.
The UCD-Net System at SemEval-2020 Task 1: Temporal Referencing with Semantic Network Distances (PDF)
Nulty,P., Lillis. D., Proceedings of the Fourteenth Workshop on Semantic Evaluation, 119-125
Identifying Patterns of Neighbourhood Change Based on Spatiotemporal Analysis of Airbnb Data in Dublin [Link]
Hamidreza Rabiei Dastjerdi & Gavin McArdle, 2020 4th International Conference on Smart Grid and Smart Cities (ICSGSC), Nov 2020
A Comparative Study on Word Embeddings in Deep Learning for Text Classification (PFD)
Wang, C., Nulty, P., Lillis., D., Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval
Who Gets What, Where, and How Much? Composite Index of Spatial Inequality for Small Areas in Tehran.
Rabiei Dastjerdi, H., Matthews, S.A., Composite Index of Spatial Inequality for Small Areas in Tehran. Regional Science Policy & Practice. DOI:10.1111/rsp3.12393
Multimodal Medical Image Fusion in Stereotactic Electroencephalography (ResearchGate)
Pérez, Hinestroza, J.A., Mazo, C. , Trujillo, M., Herrera, A. in Magnetic Resonance Materials in Physics, Biology and Medicine, SN: 1352-8661, v.33(1), p.208-208, DOI:10.1007/s10334-020-00876-y, Spain, Oct 2020.
Using an Ontology of the Human Cardiovascular System to Improve the Classification of Histological Images
Mazo, C., Alegre, E., Trujillo, M., Scientific Reports, ISSN: 2045-2322, v.10(1), p.1-14, DOI:10.1038/s41598-020-69037-4, United Kingdom, Jul 2020.
Fertility variability in a low-fertility country: patterns and trends in regional and local scale heterogeneity across Italy, 2002-2017.
Salvati, L, Benassi, F., Miccoli, S., Rabiei-Dastjerdi H., Matthews, S. A., Applied Geography. DOI: 10.1016/j.apgeog.2020.102321
Gap analysis in decision support systems for real-estate in the era of the digital earth
Rabiei-Dastjerdi, H., McArdle, G., Matthews, S.A., Keenan, P.. International Journal of Digital Earth. DOI: 10.1080/17538947.2020.1808719
Multi-Gene Prognostic Signatures and Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in ER-positive, HER2-negative Breast Cancer Patients
Mazo, C., Barron, S., Mooney, C., Gallagher, W.M. Cancers Journal, ISSN: 2072-6694, v. 12(5), p. 1133, DOI:10.3390/cancers12051133, Switzerland May 2020
Clinical Decision Support Systems in Breast Cancer: A Systematic Review
Mazo, C., Kearnsc, C., Mooney, C., Gallagher, W.M., Cancers Journal, ISSN: 2072-6694, v.12(2), p.1-15, DOI:10.3390/cancers12020369, Switzerland, Jan 2020.
Combining Machine Learning and Logical Reasoning to Improve Requirements Traceability Recovery (PDF).
Li,T., Wang,S., Lillis, D., Yang, Z., Applied Sciences, 10(20):7253, Jan. 2020.
Gap Analysis in Decision Support Systems for Real Estate in the Era of the Digital Earth [Link]
Hamidreza Rabiei-Dastjerdi, Gavin McArdle, Stephen A. Matthews & Peter Keenan, International Journal of Digital Earth, Aug 2020
Using an Ontology of the Human Cardiovascular System to Improve the Classification of Histological Images [Link]
Claudia Mazo, Enrique Alegre & Maria Trujillo, Nature Scientific Reports 10, Article Number: 12276, July 2020
Deep Learning Methods in Protein Structure Prediction [Link]
Mirko Torrisi, Gianluca Pollastri, Quan Le, Computational and Structural Biotechnology Journal, January 2020
Clinical Decision Support Systems in Breast Cancer: A Systematic Review [Link]
Claudia Mazo, Cathriona Kearns
Urban Consumption Patterns: OpenStreetMap Quality for Social Science Research [Link]
Hamidreza Rabiei Dastjerdi, Gavin McArdle & Andrea Ballatore, GISTAM 2020, May 2020
A 2020 perspective on “A novel methodology for optimizing display advertising campaigns using genetic algorithms” [Link]
Miralles-Pechuán, L., Hiram Ponce and Lourdes Martínez-Villaseñor, Electronic Commerce Research and Applications 40 (2020): 100953, April 2020
Convolution on Neural Networks for High-Frequency Trend Prediction of Cryptocurrency Exchange Rates Using Technical Indicators [Link]
Saúl Alonso-Monsalve
Spatial Variability of total fertility rate and crude birth rate in a low-fertility country: Patterns and trends in regional and local scale heterogeneity across Italy, 2002-2018 [Link]
Luca Salvati, Federico Benassi, Sara Miccoli, Hamidreza Rabiei Dastjerdi & Stephen A. Matthews, Applied Geography, Volume 124, Nov 2020
An Overview of Deep Learning in Industry [Link]
Le, Q., Miralles-Pechuán, L., Kulkarni, S., Su, J., & Boydell, O., In Data Analytics and AI (pp. 65-98), Auerbach Publications, Aug 2020
Cutting Through the Emissions: Feature Selection from Electromagnetic Side-Channel Data for Activity Detection [Link]
Sayakkara, A., Miralles-Pechuán, L., Le-Khac, N. A., & Scanlon, M., Forensic Science International: Digital Investigation, 32, 300927, April 2020
Using Text Classification Methods to Detect Malware [Link]
Eoghan Cunningham, Oisın Boydell, Cormac Doherty, Benjamin Roques, and Quan Le, The 27th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2019), Galway, December 2019
A Histology–Genomic Integration Analysis Using Machine Learning for Predicting Risk of Recurrence of Breast Cancer (PDF)
Mazo, C., Mooney, C., Gallagher, W.M., UCD Molecular and Computational Biology Symposium 2019. Dublin – Ireland, Nov 2019
Multi-Gene Prognostic Signatures and Prediction of Pathological Complete Response of ER-Positive HER2-Negative Breast Cancer Patients to Neo-Adjuvant Chemotherapy (PDF)
Mazo, C., Barron, S., Mooney, C., Gallagher, W.M., 2019 UCD Conway Festival of Research & Innovation. Dublin – Ireland, Sept 2019
A Histology–Genomic Integration Analysis Using Machine Learning for Predicting Risk of Recurrence of Breast Cancer, (PDF)
Mazo, C., Mooney, C., Gallagher, W.M., Machine Learning Summer School (MLSS2019). Moscow – Russia, Aug 2019
The Relevance of Cataract as a Risk Factor for Age-Related Macular Degeneration: A Machine Learning Approach [Link]
Martínez-Velasco, A., Martínez-Villaseñor, L., Miralles-Pechuán, L., Perez-Ortiz, A. C., Zenteno, J. C., & Estrada-Mena, F. J. (2019). Applied Sciences, 9(24), 5550. December 2019
The Use of Deep Learning Distributed Representations in the Identification of Abusive Text, (PDF)
Chen, H., McKeever, S., Delany, S. J. (2019). Proceedings of the International AAAI Conference on Web and Social Media, 13(01), 125-133. Retrieved from https://ojs.aaai.org/index.php/ ICWSM/article/view/3215
Incremental Market Behavior Classification in Presence of Recurring Concepts [Link],
Multi-gene prognostic signatures and prediction of pathological complete response of ER-Positive HER2-negative breast cancer patients to neo-adjuvant chemotherapy (PDF)
Mazo, C., Barron, S., Mooney, C., Gallagher, W.M., Annals of Oncology, Vol. 30(5), Supplement 5, ISSN: 0923-7534, DOI: 10.1093/annonc/mdz240.081, 2019, Sept 2019
Multi-gene prognostic signatures and prediction of pathological complete response of ER-Positive HER2-negative breast cancer patients to neo-adjuvant chemotherapy [Link]
C Mazo, S Barron, C Mooney, W M Gallagher, Annals of Oncology, Volume 30, October 2019
Presenting a hybrid processing mining framework for automated simulation model generation (PDF)
M. Mesabbah and S. McKeever, 2018 Winter Simulation Conference (WSC), 2018, pp. 1370-1381, doi: 10.1109/ WSC.2018.8632467
Personalized Breast Cancer Treatment Based on Sox2 Protein Expression
Garin -Muga, A., Mazo, C., Beristain, A., Zabalza, I., Vivanco, M.d. M Macia, I., Clinical Proteomics: towards personalized medicine and health. Barcelona – Spain, Nov 2018
Ontology-based Automatic Reclassification of Tissues and Organs in Histological Images, (PDF)
Mazo, C., Trujillo, M., Alegre,E., Salazar, L., Journal Proceedings of the 12th Alberto Mendelzon International Workshop on Foundations of Data Management, v. 2100. http://ceur-ws.org/Vol-2100. Cali – Colombia, May 2018
ROGER: An On-Line Flight Efficiency Monitoring System using ADS-B Data [Link]
Shen Wang, Aditya Grover, Brian Mac Namee, Philip Plantholt, Javier López-Leonés, and Pablo Sánchez-Escalonilla, 19th IEEE International Conference on Mobile Data Management(MDM), Aalborg, Denmark, June 2018.
Presenting a hybrid processing mining framework for automated simulation model generation
M Mesabbah, McKeever, S, 2018 Winter Simulation Conference
Transfer learning for classification of cardiovascular tissues in histological images
Mazo, C., Bernal, J., Trujillo, M., Alegre, E., Computer Methods And Programs In Biomedicine, ISSN: 0169-2607, v. 165, p. 69-76, DOI:10.1016/j.cmpb.2018.08.006, Netherlands, Oct 2018Your Content Goes Here
In Silico Approach for Immunohistochemical Evaluation of a Cytoplasmic Marker in Breast Cancer
Mazo, C., Orue-Etxebarria, E., Zabalza, I., Vivanco, M. d. M., Kypta, R. M., Beristain, A., Cancers Journal, Vol. 10(12), DOI: 10.3390/cancers10120517, Switzerland, Sept 2018
Deep Learning at the Shallow End: Malware Classification for Non-Domain Experts [Link]
Quan Le, Oisin Boydell, Brian Mac Namee, Mark Scanlon, Digital Investigation, Volume 26, Number 1, Pages S118-S126, ISSN 1742-2876, July 2018.
Transfer learning for classification of cardiovascular tissues in histological images [Link]
Claudia Mazo, Jose Bernal, Maria Trujillo, Enrique Alegre, Computer Methods and Programs in Biomedicine, Volume 165, October 2018, Pages 69-76
Evaluating citywide bus service reliability using noisy GPS data [Link]
Shen Wang and Brian Mac Namee, 3rd IEEE International Smart Cities Conference (ISC2), Wuxi, China, September 2017.
Topic Stability over Noisy Sources [Link]
J Su, D Greene, O Boydell, Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT), Osaka, Japan, December 2016
TopicListener: Observing Key Topics from Multi-Channel Speech Audio Streams [Link]
J Su, O Boydell, Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications (BigDataService 2016), Oxford, UK, March 2016.
Comparison of Categorical Clustering (PDF)
Wang, F. Franco, H., Pugh, J. Ross, R. http://info.nathean.com/predict, October 2016
Comparison of Categorical Clustering Summary (PDF)
Wang, F. Franco, H., Pugh, J. Ross, R. http://info.nathean.com/predict, October 2016
Predicting cognitive load levels from speech data [Link]
J Su, S Luz, Proceedings of the International Conference on Non-Linear Speech Processing (NOLISP 2015), Vietri sul Mare, Italy, May 2015.
Linguistically Informed Tweet Categorization for Online Reputation Management (PDF)
Lynch, G., Cunningham, P., Proceedings on the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 73-78. June 2014.
Exploring Customer Specific KPI Selection Strategies for an Adaptive Time Critical User Interface (PDF)
Keck, I., Ross, R., International Conference on Intelligent User Interfaces, April 2014.
High-Throughput, Web-Scale Data Stream Clustering, [Link]
G Wu, O Boydell, P Cunningham, Proceedings of the 4th Workshop on Clickstream Data Mining (WSCD2014), New York, NY,2014
A supervised learning approach towards profiling the preservation of authorial style in literary translations [Link]
Lynch, Gerard, Proceedings 25th COLING (2014): 376-386.
High-Throughput Continuous Clustering of Message Streams (PDF)
Boydell, O., Landowski, M., Wu, G., Cunningham, P., 2013, 2013 RealStream Conference Proceedings, Sept 2013
NudgeAlong: A Case Based Approach to Changing User Behaviour [Link]
Eoghan O’Shea, Sarah Jane Delany, Rob Lane, Brian Mac Namee, Case-Based Reasoning Research and Development, Lecture Notes in Computer Science Volume 8765, 2014, pp 345-359
Linguistically Informed Tweet Categorization for Online Reputation Management (PDF)
Lynch, G., Cunningham, P., Proceedings on the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 73-78. June 2014.
Exploring Customer Specific KPI Selection Strategies for an Adaptive Time Critical User Interface (PDF)
Keck, I., Ross, R., International Conference on Intelligent User Interfaces, April 2014.
High-Throughput Continuous Clustering of Message Streams (PDF)
Boydell, O., Landowski, M., Wu, G., Cunningham, P., 2013, 2013 RealStream Conference Proceedings, Sept 2013.‌
XPlainIT – A demonstrator for explaining deep learning models trained over structured data (PDF)
Mckeever, S., Ullah, I., Rios, A., Demo Session of Machine Learning and Multimedia, at 25th International Conference on Pattern Recognition (ICPR), 14 January 2021, Italy
Modelling the COVID-19 virus evolution with Incremental Machine Learning
Suárez-Cetrulo, A. L., Kumar, A., Miralles-Pechuán, L., (2021) 2104.09325, arXiv, cs.LG
Comparative Study of Feature Representations for Disaster Tweet Classification (2019)
P Jain, B Schoen-Phelan, R Ross, ResearchGate