-, Cornelius and Jaswal, Shivani (2024) Lambda Authorizer Benchmarking Tool with AWS SAM and Artillery Framework. In: Advances in Information and Communication (FICC 2024). Lecture Notes in Networks and Systems, 921 . Springer, Cham, pp. 108-128. ISBN 978-3-031-54053-0
Alcala, Alexandra, Bleach, Josephine, O'Neill, Jennifer, Kane, Trinity, Hennessy-McCann, Emma, Booth, Julie, Darmody, Kate, Pathak, Pramod and Stynes, Paul (2024) STEM Play & Learn: A Summer Family Learning Programme in Socio-Economically Disadvantaged Communities. In: 2024 IEEE Frontiers in Education (FIE 2024). IEEE, Washington DC, USA.
Ali, Vasit, Muntean, Cristina Hava and Yaqoob, Abid (2024) Exploring the Impact of Social Media on Mental Health and Well-being: A Multi-Dimensional Analysis. In: The 2024 World Congress in Computer Science, Computer Engineering, and Applied Computing. American Council on Science and Education, Las Vegas, USA.
Aman, Mohammad, Jilani, Musfira, Muntean, Cristina Hava, Pathak, Pramod and Stynes, Paul (2024) A Deep Learning Framework for Memory Retrieval from Lifelogging Data. In: IEEE International Conference Automatics and Informatics (ICAI 2024). IEEE, Varna, Bulgaria.
Arsenis, Panagiotis and Flores, Miguel (2024) Work placements and graduate outcomes: self-selection bias and employability metrics. In: Lighting the Labyrinth: enhancing student success through the 3Es. Advance HE. ISBN 978-1-7385242-0-4
Arsenis, Panagiotis and Flores, Miguel (2024) University-To-Work Transition and Work Placements: Evidence of Heterogeneous Pay Dynamics. In: Trends in vocational education and training research. Proceedings of the European Conference on Educational Research (ECER), VII . Vocational Education and Training Network (VETNET), pp. 11-16.
Bleach, Josephine and Stynes, Paul (2024) Using Community Action Research to develop grassroots STEM Family Learning Programmes. In: Proceedings of the Collaborative Action Research Network (CARN 2024). CARN, Malmö, Sweden.
Cortés-Mendoza, Jorge M., Tchemykh, Andrei and González-Vélez, Horacio (2024) Training Policy for Privacy-Preserving Logistic Regression in Federated Learning Environments. In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). IEEE, Valencia, Spain, pp. 1-8.
Donnelly, Roisin and Kennelly, Ita (2024) A Framework-based Cross-institutional CPD for Academic Staff in Gen-AI Literacy, Critical Inquiry, and Authentic Assessment. In: Effective Practices in AI Literacy Education: Case Studies and Reflections. Emerald, Leeds, pp. 51-59. ISBN 978-1-83608-853-0
González-Cebrián, Alba, Ciolacu, Iulian, Bradford, Michael, Dobre, Ciprian and González-Vélez, Horacio (2024) Data Drift for Automatic FAIR-compliant Dataset Versioning in Large Repositories. In: 2024 IEEE 20th International Conference on e-Science (e-Science). IEEE, Osaka, Japan, pp. 1-10. ISBN 979-8-3503-6562-7
Gross, Nicole and Geiger, Susi (2024) Tinkering in Markets for Collective Goods: Experiments, Exceptionalities and the Case of HIV Medications. In: Market Studies: Mapping, Theorizing and Impacting Market Action. Cambridge University Press, Cambridge, pp. 23-37. ISBN 9781009413961
Kamble, Sanica Sanjay, Muntean, Cristina Hava and Simiscuka, Anderson Augusto (2024) A Hybrid HSV and YCrCb OpenCV-based Skin Tone Recognition Mechanism for Makeup Recommender Systems. In: 2024 International Wireless Communications and Mobile Computing (IWCMC). IEEE, Ayia Napa, Cyprus, pp. 1224-1229. ISBN 979-8-3503-6126-1
Kennelly, Ita, Casey, Leo, Conaty, Y. and Sweeny, R. (2024) Innovation, commitment & capability: A partnership approach to creating new pathways for post primary students in Ireland. In: International Congress for School Effectiveness and Improvement (ICSEI). ICSEI, Trinity College Dublin.
Kothapalli, Srija Venkata Sai Ravali, Muntean, Cristina Hava and Yaqoob, Abid (2024) Advanced Deep Learning Framework for Improved Wildfire Detection and Aerosol Identification Using Active Satellite Imagery. In: 2024 International Wireless Communications and Mobile Computing (IWCMC). IEEE, Ayia Napa, Cyprus, pp. 955-960. ISBN 979-8-3503-6126-1
Mahajan, Prachi, Stynes, Paul and Muntean, Cristina Hava (2024) Proactive Management of Delays in the French Railway Network: A Seasonal Machine Learning Based Approach. In: The 2024 World Congress in Computer Science, Computer Engineering, and Applied Computing. American Council on Science and Education, Las Vegas, USA.
Malaichamy, Gayathri, Muntean, Cristina Hava and Simiscuka, Anderson Augusto (2024) Online Job Posting Authenticity Prediction with Machine and Deep Learning: Performance Comparison Between N-Gram and TF-IDF. In: Deep Learning Theory and Applications. Communications in Computer and Information Science (2171). Springer, Cham, pp. 143-162. ISBN 978-3-031-66694-0
Mothersill, David, Ryan, Nikki, Rowsome-Kelly, Céilim, Stynes, Paul and Bleach, Josephine (2024) Supporting parents to navigate the modern digital ecosystem for themselves and their children. In: Ireland’s Education Yearbook. Education Matters.
Muntean, Cristina Hava, Bharadwaj, Aditi and Verma, Rohit (2024) Artificial Intelligence based Automatic Product Recognition for Toys Retail Stores. In: The 2024 World Congress in Computer Science, Computer Engineering, and Applied Computing. American Council on Science and Education, Las Vegas, USA.
Muntean, Cristina Hava, Tal, Irina, Bogusevschi, Diana, Bratu, Marilena, Bi, Ting and Muntean, Gabriel-Miro (2024) Mulseplayer: A Multi-Sensorial Media Content Delivery Solution to Enhance End-User Quality of Experience. In: 2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, Toronto, ON, Canada, pp. 1-6. ISBN 979-8-3503-6426-2
Oladimeji, Temitope, Muntean, Cristina Hava and Simiscuka, Anderson Augusto (2024) Understanding Risks for Maternal Mortality in Rural Bangladesh Using XGBoost, Random Forest, and Decision Tree ML Models. In: The 2024 International Conference on Computational Science and Computational Intelligence (CSCI'24). American Council on Science and Education, Las Vegas, USA.
Power, Julie (2024) Tangible Coding Game. In: Computers in Education Society of Ireland Conference. CESI, Galway, Ireland.
Pulido-Gaytan, Bernardo, Tchemykh, Andrei, Babenko, Mikhail, Cortés-Mendoza, Jorge M., González-Vélez, Horacio and Avetisyan, Arutyun (2024) Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions. In: 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW). IEEE, Philadelphia, PA, USA, pp. 42-49. ISBN 979-8-3503-7751-4
Shaikh, Ruksar, Muntean, Cristina Hava and Gupta, Shaguna (2024) Prediction of Resource Utilisation in Cloud Computing Using Machine Learning. In: Proceedings of the 14th International Conference on Cloud Computing and Services Science - CLOSER. SciTePress, Angers, France, pp. 103-114. ISBN 978-989-758-701-6
Siddique, Jawed, Jilani, Musfira, Cudden, Mark, Muntean, Cristina Hava, Pathak, Pramod and Stynes, Paul (2024) Deep Learning Framework for Analysing Land Use and Land Cover Classification and Change Detection. In: The 8th International Conference on Video and Image Processing. ACM, Kuala Lumpur, Malaysia.
Singh, Shubham, Muntean, Cristina Hava and Gupta, Shaguna (2024) Boosting Microservice Resilience: An Evaluation of Istio’s Impact on Kubernetes Clusters Under Chaos. In: 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC). IEEE, Malmö, Sweden, pp. 245-252. ISBN 979-8-3503-6648-8
Somanna, Harshitha Poolakanda, Stynes, Paul and Muntean, Cristina Hava (2024) A Deep Learning-Based Plant Disease Detection and Classification for Arabica Coffee Leaves. In: Deep Learning Theory and Applications. Communications in Computer and Information Science (2171). Springer, Cham, pp. 19-37. ISBN 978-3-031-66694-0
Somers, Carmel, Feenan, Dave, Fitzgerald, David, Henriques, Roberto, Martignoni, Matteo, Parletta, Daniela A., Cibin, Eva, Chis, Adriana E. and González-Vélez, Horacio (2024) Systematic Needs Analysis of Advanced Digital Skills for Postgraduate Computing Education: The DIGITAL4Business Case. In: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2024. Communications in Computer and Information Science, 2150 . Springer, Cham, pp. 179-191. ISBN 978-3-031-64314-9
Stynes, Paul, Muntean, Cristina Hava, Sheridan, Frances, Thornbury, Emer and Pathak, Pramod (2024) Research Supervision Framework: A Student's Experience. In: EDUNINE 2024 - 8th IEEE World Engineering Education Conference. IEEE, Guatemala City, Guatemala. ISBN 9798350348729
Subhan, Fazal E., Yaqoob, Abid, Muntean, Cristina Hava and Muntean, Gabriel-Miro (2024) EDQD: An Edge-Driven Multi-Agent DRL Solution for Improving Joint QoE in DASH-based Rich Media Content Delivery. In: 2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, Toronto, ON, Canada, pp. 1-7. ISBN 979-8-3503-6426-2
Verma, Rohit, Rane, Dheeraj and Jaswal, Shivani (2024) Service-oriented Computing Paradigms: Opportunities and Challenges. In: Soft Computing Principles and Integration for Real-Time Service-Oriented Computing. Routledge, Taylor & Francis Group, pp. 154-173. ISBN 9781032551883
Verma, Rohit, Shukla, Surendra and Jaswal, Shivani (2024) Trends and Future Opportunities of Service-oriented Computing in Social Benefits. In: Soft Computing Principles and Integration for Real-Time Service-Oriented Computing. Routledge, Taylor & Francis Group, pp. 117-135. ISBN 9781032551883
Yao, Yao, González-Vélez, Horacio and Croitoru, Madalina (2024) Explanatory Dialogues with Active Learning for Rule-based Expertise. In: Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning 2024 (RuleML+RR 2024). CEUR-WS, Bucharest, Romania, pp. 1-15.
-, Manisha, Clifford, William, McLaughlin, Eugene and Stynes, Paul (2023) A Deep Learning Emotion Classification Framework for Low Resource Languages. In: Big Data and Artificial Intelligence. Lecture Notes in Computer Science, 14418. Springer, Cham, pp. 113-121.
Darmody, Kate, Booth, Julie, Bleach, Josephine, Pathak, Pramod and Stynes, Paul (2023) Work in Progress: A Virtual Educational Robotics Coding Club Framework to Improve K-6 Students Emotional Engagement in STEM. In: 2023 IEEE World Engineering Education Conference (EDUNINE). IEEE, Bogotá, Colombia, pp. 1-4.
Garavan, Thomas, MacKenzie, Clíodhna and Darcy, Colette (2023) In the war for talent: just who is worthy of development? Talent development in organizations. In: Smart Talent Management. Edward Elgar Publishing, pp. 46-66. ISBN 9781802202717
Garavan, T., McCarthy, A., Lai, Y., Clarke, N., McDonnell, A., Carbery, R., Murphy, K., Darcy, Colette, O'Brien, F. and Sheehan, M. (2023) Training, Organisation and Financial Performance: A Meta-Analytic Investigation of Mediating Mechanisms. In: European Academy of Management (EURAM) Conference. European Academy of Management, Trinity College Dublin, Ireland.
Gopalan, Srijeet, Verma, Rohit and Jaswal, Shivani (2023) A Secure and Privacy Preserving Telehealth Solution in Fog Based Environment. In: 2023 3rd International Conference on Smart Data Intelligence (ICSMDI). IEEE, Trichy, India, pp. 38-47.
Gross, Nicole (2023) Critical Reflexivity as the Last Frontier to Uncover and Change the Ideologies Buried Behind Practices. In: Nurturing Modalities of Inquiry in Entrepreneurship Research: Seeing the World Through the Eyes of Those who Research. Contemporary Issues in Entrepreneurship Research, 17. Emerald Publishing. ISBN 9781802621860
Jain, Somil, Muntean, Cristina Hava and Verma, Rohit (2023) Honey2Fish - A Hybrid Encryption Approach for Improved Password and Message Security. In: 2023 3rd International Conference on Smart Data Intelligence (ICSMDI-2023). IEEE, New York, USA, pp. 198-203.
Kennelly, Ita (2023) A new pathway for learning: The P-TECH initiative in Ireland. In: OECD International Online Knowledge Exchange Conference. OECD.
Kracen, Amanda +, Mothersill, David +, McClean, E. * and Woods, S. * (2023) Demystifying anxiety: A teaching tool to destigmatize mental health and enhance students’ resilience. In: A Psychology Skillbuilding Toolbox for Students. Society for the Teaching of Psychology. ISBN 978-1-941804-73-5
Kumaran, Kannan, Pathak, Pramod, Haque, Rejwanul and Stynes, Paul (2023) A Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value. In: BDA 22: Big Data Analytics. Lecture Notes in Computer Science, 13773 . Springer, Cham, pp. 91-103. ISBN 978-3-031-24094-2
Lal, Vishan, Stynes, Paul and Muntean, Cristina Hava (2023) An Investigation into Predicting Flight Fares in India Using Machine Learning Models. In: Deep-BDB 2023: The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023). Lecture Notes in Networks and Systems, 768 . Springer, Cham, pp. 106-118.
Marigowda, Chethan, Moldovan, Arghir-Nicolae, Siddig, Abubakr, Muntean, Cristina Hava, Pathak, Pramod and Stynes, Paul (2023) A Novel Hybrid Machine Learning Framework to Recommend E-Commerce Products. In: 5th International Conference on Information Technology and Computer Communications (ITCC 2023). ACM, Tianjin, China.
Menon, Akshay, Siddig, Abubakr, Muntean, Cristina Hava, Pathak, Pramod, Jilani, Musfira and Stynes, Paul (2023) A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection. In: DeLTA 2023: Deep Learning Theory and Applications. Communications in Computer and Information Science. Springer, Cham, pp. 71-83.
Rafii, Fadoua, González-Vélez, Horacio and Chis, Adriana E. (2023) Automatic FAIR Provenance Collection and Visualization for Time Series. In: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering (ICPE '23 Companion). Association for Computing Machinery, Coimbra, Portugal, pp. 331-336. ISBN 9798400700729
Shahid, Abdul, Diamond, Danny, McDermott, James and d'Aquin, Mathieu (2023) Ensemble Machine Learning Models for Root Note Detection in Irish Instrumental Dance Music. In: 31st Irish Conference on Artificial Intelligence and Cognitive Science. Atlantic Technological University, Letterkenny, Donegal.
Simpson, A., Sheerin, Corina and Hurley, V. (2023) Giving Shape to Finance and the City of London: Permissive Regulation and Minimalist Governance. In: Combating Financial Crime: Global and National Trends. Springer. (In Press)
Sunney, Jothika, Jilani, Musfira, Pathak, Pramod and Stynes, Paul (2023) A Real-time Machine Learning Framework for Smart Home-based Yoga Teaching System. In: 7th International Conference on Machine Vision and Information Technology (CMVIT). IEEE Computer Society, Xiamen, China, pp. 107-114.
Thornbury, Emer, Sheridan, Frances, Muntean, Cristina Hava, Pathak, Pramod and Stynes, Paul (2023) A Tutoring Framework to Support Computer Science Programmes in Higher Education. In: VII IEEE World Engineering Education Conference (EDUNINE23). IEEE, Bogotá, Colombia.
Yadav, Shweta (2023) Assessing the Efficacy of Synthetic Data for Enhancing Machine Translation Models in Low Resource Domains. In: Big Data and Artificial Intelligence. Lecture Notes in Computer Science, 14418 . Springer, Cham. ISBN 978-3-031-49601-1
Durá, Marta, Sánchez-García, Angel, Sáez, Carlos, Leal, Fátima, Chis, Adriana E., González-Vélez, Horacio and García-Gómez, Juan M. (2022) Towards a Computational Approach for the Assessment of Compliance of ALCOA+ Principles in Pharma Industry. In: Challenges of Trustable AI and Added-Value on Health. Studies in Health Technology and Informatics, 294. IOS Press, pp. 755-759. ISBN 978-1-64368-285-3.
Filip, Ion-Dorinel, Ionite, Cosmin, González-Cebrián, Alba, Balanescu, Mihaela, Dobre, Ciprian, Chis, Adriana E., Feenan, Dave, Buga, Adrian-Alexandru, Constantin, Ioan-Mihai, Suciu, George, Iordache, George V. and González-Vélez, Horacio (2022) Smardy: Zero-Trust FAIR Marketplace for Research Data. In: 2022 IEEE International Conference on Big Data (Big Data). IEEE, pp. 1535-1541.
Fischer, Marcelo, Haque, Rejwanul, Stynes, Paul and Pathak, Pramod (2022) Identifying Fake News in Brazilian Portuguese. In: Natural Language Processing and Information Systems. Lecture Notes in Computer Science (13286). Springer Nature, Cham, pp. 111-118. ISBN 978-3-031-08473-7.
Garavan, Thomas, Grant, Kirsteen, Darcy, Colette, O'Brien, Fergal and Clarke, Nicholas (2022) Human Resource Management, Leadership and Knowledge Management: Never the Twain Shall Meet. In: The Emerald Handbook of Work, Workplaces and Disruptive Issues in HRM. Emerald Publishing Limited, pp. 129-147. ISBN 978-1-80071-779-4
González-Cebrián, Alba, McGuinness, Luke A., Bradford, Michael, Chis, Adriana E. and González-Vélez, Horacio (2022) Automatic Versioning of Time Series Datasets: a FAIR Algorithmic Approach. In: 2022 IEEE 18th International Conference on e-Science (e-Science). IEEE, pp. 204-213.
González-Vélez, Horacio, Dobre, Ciprian, Sánchez-Solis, Barbara, Antinucci, Giulia, Feenan, Dave and Gheorghe, Dana (2022) Open Science and Research Data Management: A FAIR European Postgraduate Programme. In: 2022 IEEE International Conference on Big Data (Big Data). IEEE, pp. 2522-2531.
Gross, Nicole (2022) The challenges and methods of understanding, contextualizing and uncovering silent entrepreneurship practices. In: Research Handbook on Entrepreneurship as Practice. Edward Elgar Publishing, pp. 222-234. ISBN 9781788976824.
Gupta, Priyanka, Gandhi, Shriya and Chakravarthi, Bharathi Raja (2022) Leveraging Transfer learning techniques- BERT, RoBERTa, ALBERT and DistilBERT for Fake Review Detection. In: FIRE 2021: Forum for Information Retrieval Evaluation. ACM International Conference Proceedings Series. Association for Computing Machinery, New York, pp. 75-82. ISBN 978-1-4503-9596-0.
Hargreaves, April (2022) Challenges in Using Social Media as a Recruitment Platform for an Unfunded Nationwide Online Survey: Irish Public’s Perception of the Disorders of Schizophrenia, Bipolar Disorder, and Autism. In: SAGE Research Methods: Doing Research Online. SAGE. ISBN 9781529799781.
Hargreaves, April, Mothersill, David and Loughnane, Gerard M. (2022) "Stigma: An Investigative Analysis of the Irish Public’s Knowledge and Perception of Autism". In: Autism Spectrum Disorders - Recent Advances and New Perspectives. IntechOpen. ISBN 978-1-83768-343-7.
Jadhav, Rohan Indrajeet, Stynes, Paul, Pathak, Pramod, Haque, Rejwanul and Hasanuzzaman, Mohammed (2022) An Instance Segmentation Model to Categorize Clothes from Wild Fashion Images. In: ICDLT '22: Proceedings of the 2022 6th International Conference on Deep Learning Technologies. Association for Computing Machinery, pp. 75-83. ISBN 978-1-4503-9693-6.
Jooste, Wandri, Way, Andy, Haque, Rejwanul and Superbo, Riccardo (2022) Knowledge Distillation for Sustainable Neural Machine Translation. In: Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track). Association for Machine Translation in the Americas, Orlando, USA, pp. 221-230.
Kelly, Michelle, Lawlor, Brian, Coen, Robert, Robertson, Ian, Finan, Sinead, Lawless, M., Scully, N., Fitzpatrick, J., Quigley, M., Tyrrell, F., O'Regan, A. and Devane, A. (2022) A multi-disciplinary approach to offering community based cognitive interventions to people with early-stage dementia in Ireland. In: Abstracts of the 18th Congress of the European Geriatric Medicine Society. Springer Nature, pp. 1-439.
Kennelly, Ita (2022) Embracing the evolution of teaching identity through reflection beyond COVID-19. In: ILTA EdTech Conference. ILTA, Cork, Ireland.
Kennelly, Ita (2022) A new pathway for learning: The P-TECH initiative in Ireland. In: QQI 10th Anniversary Conference. QQI, Dublin, Ireland.
McCabe, Thomas, J. and Darcy, Colette (2022) Motivation and Rewards. In: Organisational Behaviour: An Introduction. Red Globe Press, UK, pp. 92-116. ISBN 9781352012477.
Mellon, Conor (2022) Using triadic reflective dialogue to support active learning. In: 100 Ideas for Active Learning. Active Learning Network, University of Sussex Library, Brighton, UK, pp. 345-351.
Moslem, Yasmin, Haque, Rejwanul, Kelleher, John and Way, Andy (2022) Domain-Specific Text Generation for Machine Translation. In: Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track). Association for Machine Translation in the Americas, Orlando, USA, pp. 14-30.
Patel, Anjuli, Stynes, Paul, Sahni, Anu, Mothersill, David and Pathak, Pramod (2022) A Machine Learning based Eye Tracking Framework to Detect Zoom Fatigue. In: Proceedings of the 14th International Conference on Computer Supported Education - Volume 2. SciTePress, pp. 187-195. ISBN 978-989-758-562-3 & ISSN 2184-5026.
Pilankar, Yash, Haque, Rejwanul, Hasanuzzaman, Mohammed, Stynes, Paul and Pathak, Pramod (2022) Detecting Violation of Human Rights via Social Media. In: Proceedings of CSR-NLP I @LREC 2022. European Language Resources Association (ELRA), pp. 40-45. ISBN 979-10-95546-89-4.
Rothe, Antje, Moloney, Mary, Sims, Margaret, Calder, Pamela, Blyth, Doreen, Boyd, Wendy, Doan, Laura, Dovigo, Fabio, Girlich, Sarah, Georgiadou, Sofia, Kakana, Domna, Mellon, Conor, Opazo, María-José, O’Síoráin, Carol-Ann, Quinn, Marian, Rogers, Marg, Silberfeld, Carolyn and Tadeu, Bárbara (2022) Lessons from the COVID-19 Pandemic: A Qualitative Study of Government Policies Relating to the Early Childhood Sector Across Ten Countries. In: The Impact of COVID-19 on Early Childhood Education and Care: International Perspectives, Challenges, and Responses. Springer Cham, pp. 67-88. ISBN 978-3-030-96977-6.
Sheridan, Frances, Thornbury, Emer, Murphy, Lisa, Muntean, Cristina Hava, Pathak, Pramod and Stynes, Paul (2022) A Framework for Managing the Transition from Second Level to Higher Education in Response to the COVID19 Emergency Restrictions. In: 2022 IEEE Frontiers in Education Conference (FIE). IEEE, Uppsala, Sweden, pp. 1-7. ISBN 978-1-6654-6244-0
Sonu, Sanket, Haque, Rejwanul, Hasanuzzaman, Mohammed, Stynes, Paul and Pathak, Pramod (2022) Identifying Emotions in Code Mixed Hindi—English Tweets. In: Proceedings of the WILDRE-6 Workshop @LREC2020. European Language Resources Association (ELRA), pp. 35-41. ISBN 979-10-95546-87-0.
Stynes, Paul, Cogan, Sam, Sheridan, Frances and Pathak, Pramod (2022) A Process Model for transitioning to alternative assessment and authentication in response to the COVID19 emergency restrictions". In: EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings. IEEE. ISBN 978-1-6654-8336-0.
Stynes, Paul and Pathak, Pramod (2022) A Research Supervision Framework for Quality and Scalability. In: Proceedings of the 14th International Conference on Computer Supported Education. SciTePress, pp. 395-403. ISBN 978-989-758-562-3 & ISSN 2184-5026.
Surve, Vrushali Atul, Pathak, Pramod, Hasanuzzaman, Mohammed, Haque, Rejwanul and Stynes, Paul (2022) An Image-based Transfer Learning Framework for Classification of E-Commerce Products. In: ICDLT '22: Proceedings of the 2022 6th International Conference on Deep Learning Technologies. Association for Computing Machinery, pp. 26-31. ISBN 978-1-4503-9693-6.
Williams, David, Stynes, Paul and Pathak, Pramod (2022) An Analysis of Hybrid Virtual Lecture Engagement. In: EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings. IEEE. ISBN 978-1-6654-8336-0.
Williams, David, Stynes, Paul and Pathak, Pramod (2022) Measuring Learner Engagement to Create a Gameful Learning Environment. In: EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings. IEEE. ISBN 978-1-6654-8336-0.
Agughalam, Davis Munachimso, Pathak, Pramod and Stynes, Paul (2021) Bidirectional LSTM approach to image captioning with scene features. In: Proceedings of SPIE: The Thirteenth International Conference on Digital Image Processing (ICDIP 2021). SPIE, 118780B. ISBN 9781510646018.
Bratu, Marilena, Oprisan, Emila and Muntean, Cristina Hava (2021) An Investigation into the Suitability of Modern Technologies and Pedagogies for Teaching Children with Neuromotor Disorders: Teachers’ Perspectives. In: Proceedings of Society for Information Technology & Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA, pp. 1527-1534. ISBN 9781939797551.
Cardiff, Linda and Kehoe, Michele (2021) Covid-19 'Targets' the National Access Plan (Poster). In: Valuing Ireland’s Teaching and Learning (VITAL) Week. National Forum for the Enhancement of Teaching and Learning in Higher Education.
Dangwal, Smriti and Moldovan, Arghir-Nicolae (2021) Feature Selection for Machine Learning-based Phishing Websites Detection. In: 2021 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA). IEEE, pp. 1-6. ISBN 978-1-6654-2529-2.
Ekundayo, Oluwatobi, Murphy, Lisa, Pathak, Pramod and Stynes, Paul (2021) An On-Device Deep Learning Framework to Encourage the Recycling of Waste. In: Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference (IntelliSys) Volume 3. Lecture Notes in Networks and Systems (Volume 296). Springer Nature Switzerland AG, pp. 405-417. ISBN 978-3-030-82199-9.
Gain, Baban, Haque, Rejwanul and Ekbal, Asif (2021) Not All Contexts are Important: The Impact of Effective Context in Conversational Neural Machine Translation. In: 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8. ISBN 978-1-6654-3900-8.
Govind, Hima and González-Vélez, Horacio (2021) Benchmarking Serverless Workloads on Kubernetes. In: 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE, pp. 704-712. ISBN 9781728195865.
Gupta, Kamal Kumar, Boppana, Dhanvanth, Haque, Rejwanul, Ekbal, Asif and Bhattacharyya, Pushpak (2021) Investigating Active Learning in Interactive Neural Machine Translation. In: Proceedings of Machine Translation Summit XVIII: Research Track. Association for Machine Translation in the Americas, pp. 10-22.
Kanhere, Samruddhi Shailesh, Sahni, Anu, Stynes, Paul and Pathak, Pramod (2021) Clustering Based Approach to Enhance Association Rule Mining. In: 2021 28th Conference of Open Innovations Association (FRUCT). IEEE, pp. 142-150. ISBN 978-9-5269-2444-1.
Kodali, Sai Kaushik and Muntean, Cristina Hava (2021) An Investigation into Deep Learning Based Network Intrusion Detection System for IoT Systems. In: 2021 IEEE International Conference on Data Science and Computer Application (ICDSCA). IEEE, pp. 374-377. ISBN 978-1-6654-4054-7.
Padalkar, Abhishek Sunil, Pathak, Pramod and Stynes, Paul (2021) An Object Detection and Scaling Model for Plastic Waste Sorting. In: Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy. CORE. EAI, Bologna, Italy, pp. 18-25. ISBN 978-1-63190-326-7.
Palani, Kamalesh, Stynes, Paul and Pathak, Pramod (2021) Clustering Techniques to Identify Low-Engagement Student Levels. In: Proceedings of the 13th International Conference on Computer Supported Education. SciTePress, pp. 248-257. ISBN 978-989-758-502-9.
Ramesh, Akshai, Uhana, Haque Usuf, Parthasarathy, Venkatesh Balavadhani, Haque, Rejwanul and Way, Andy (2021) Augmenting Training Data for Low-Resource Neural Machine Translation via Bilingual Word Embeddings and BERT Language Modelling. In: International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8. ISBN 978-1-6654-3900-8.
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Darcy, Colette, O'Donoghue, Ashley and Liu, Yanqiao (2018) Employee Engagement, Induction, Turnover and Retention. In: Human Resource Management. Red Globe Press, UK, pp. 59-78. ISBN 9781352004021.
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Leal, Fátima, González-Vélez, Horacio, Malheiro, Benedita and Burguillo, Juan Carlos (2018) Semantic Profiling and Destination Recommendation based on Crowd-sourced Tourist Reviews. In: Distributed Computing and Artificial Intelligence, 14th International Conference. DCAI 2017. Advances in Intelligent Systems and Computing (620). Springer International Publishing, pp. 140-147. ISBN 978331962410517.
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Mulligan, Christopher, Vera Cruz, Carlito, Healy, Donagh, Murphy, David, Hall, Margeret, Nelson, Quinn and Caton, Simon (2018) A Study of App User Behaviours: Transitions From Freemium to Premium. In: HCI in Business, Government, and Organizations. HCIBGO 2018. Lecture Notes in Computer Science (10923). Springer, Cham, pp. 396-412. ISBN 9783319917160.
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Stynes, Paul, Conlan, Owen and O’Sullivan, Declan (2018) CRESUS-T: A Tool to Support Collaborative Requirements Elicitation Through Enhancing Shared Understanding and Simulation. In: Computer Science & Information Technology (CS & IT). Computer Science Conference Proceedings (CSCP), 8 (2). AIRCC Publishing Corporation, pp. 47-61. ISBN 9781921987809.
Bleach, Josephine (2017) Community Action Research in Ireland: Improving Educational Outcomes Through Collaboration in the Dublin Docklands. In: The Palgrave International Handbook of Action Research. Palgrave Macmillan, New York, pp. 177-188. ISBN 9781137441089.
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