-, 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.
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.
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.
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.
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.
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
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.
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
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
Darmody, Kate, Booth, Julie, O'Toole, Fergal, Alcala, Alexandra, Bleach, Josephine, Stynes, Paul and Pathak, Pramod (2022) A STEM family eLearning framework to increase family engagement in disadvantaged communities. In: IADIS 16th International Conference on e-Learning. IADIS. (Unpublished)
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
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
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
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
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
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
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
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
Tewari, Saurav, Pathak, Pramod and Stynes, Paul (2021) A Novel Aspect-Based Deep Learning Framework (ADLF) to Improve Customer Experience. In: Big Data Analytics: 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings. Lecture Notes in Computer Science (LNCS 13147) . Springer Nature Switzerland AG, pp. 119-130. ISBN 978-3-030-93620-4
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
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
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
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
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
Wagh, Vinaysheel K., Pathak, Pramod, Stynes, Paul and Nardin, Luis G. (2020) An Evacuation Route Model for Disaster Affected Areas. In: Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020 (AICS 2020). CEUR Workshop Proceedings (2771). CEUR-WS.org, pp. 61-72.
Kumar, Animesh, Pathak, Pramod and Stynes, Paul (2020) A Transfer Learning Approach to Classify the Brain Age from MRI Images. In: Big Data Analytics - 8th International Conference, BDA 2020, Sonepat, India, December 15–18, 2020, Proceedings. Lecture Notes in Computer Science (Volume 12581) . Springer Nature Switzerland AG, pp. 103-112. ISBN 978-3-030-66665-1
Sharma, Sachin, Nag, Avishek, Stynes, Paul and Nekovee, Maziar (2020) Automatic Configuration of OpenFlow in Wireless Mobile Ad hoc Networks. In: 2019 International Conference on High Performance Computing & Simulation (HPCS). IEEE, pp. 367-373. ISBN 978-1-7281-4484-9
Stynes, Paul and Pathak, Pramod (2020) Curriculum Development Framework: A Tool for Innovative Programme Development. In: EDULEARN20 Proceedings: 12th International Conference on Education and New Learning Technologies. IATED Academy, pp. 3455-3465. ISBN 978-84-09-17979-4
Stynes, Paul, Conlan, Owen and O’Sullivan, Declan (2018) CRESUS-T: A Collaborative Requirements Elicitation Support Tool. International Journal of Software Engineering & Applications, 9 (2). pp. 9-28. ISSN 0975-9018
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
Ghergulescu, Ioana, Stynes, Paul and Pathak, Pramod (2015) A model for designing learning experiences for computer science curriculum. In: 2014 IEEE Frontiers in Education Conference (FIE) Proceedings. IEEE. ISBN 9781479939220
Stynes, Paul, O'Sullivan, Declan and Conlan, Owen (2009) Simulation-based Communication Tool: an Enabler for Collaborative Decision Making. In: Pre-Proceedings of the Workshop on Controlled Natural Language (CNL 2009). CEUR-WS.org .
Stynes, Paul, Conlan, Owen and O'Sullivan, Declan (2009) Supporting Organisational Change through Enhancing Shared Understanding and Simulated Infrastructure Modelling. In: PhD Colloquium held at the Winter Simulation Conference 2009, 13-16 December 2009, Austin, Texas, USA.
Stynes, Paul, Conlan, Owen and O'Sullivan, Declan (2008) Towards a Simulation-based Communication Tool to Support Semantic Business Process Management. In: Third International Workshop on Semantic Business Process Management in Proceedings of Workshops held at the Fifth European Semantic Web Conference (ESWC08), 2 June 2008, Tenerife, Canary Islands, Spain.
Stynes, Paul and Conlan, Owen (2006) Architectural framework for the composition and delivery of adaptive educational support services. In: Fourth International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH2006), 20 June 2006, Dublin.
Stynes, Paul and Weibelzahl, Stephan (2006) Effects of immediate feedback on motivation in a technology-enabled studio classroom. In: EdTech 2006: 7th Annual Irish Educational Technology Users' Conference, 25-26 May 2006, Institute of Technology Sligo.
Stynes, Paul, Maher, Elaine and Pathak, Pramod (2005) The Application of Kolb's Experiential Theory in a Technology-enabled Studio Classroom Environment. In: EdTech 2005: The Sixth Annual Irish Educational Technology Users' Conference, 26-27 May 2005, Dun Laoghaire Institute of Art, Design and Technology.
Stynes, Paul, Kelly, Declan, Durnin, Sheena and Pathak, Pramod (2004) Designing a learner-centred educational environment to achieve learner potential. In: EdTech 2004, Fifth Annual Irish Educational Technology Users' Conference, 3-4 June 2004, IT Tralee.