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- affiliation: Dublin City University, Ireland
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2020 – today
- 2022
[j99]Lucile Riaboff, Laurence Shalloo, Alan F. Smeaton, Sébastien Couvreur, Aurélien Madouasse, Mark T. Keane:
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data. Comput. Electron. Agric. 192: 106610 (2022)- [c322]Srijith Unni, Sushma Suryanarayana Gowda, Alan F. Smeaton
:
An Investigation into Keystroke Dynamics and Heart Rate Variability as Indicators of Stress. MMM (1) 2022: 379-391 - [i55]Lorin Sweeney, Ana Matran-Fernandez, Sebastian Halder, Alba Garcia Seco de Herrera, Alan F. Smeaton, Graham Healy:
Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability. CoRR abs/2201.00620 (2022) - [i54]Aparajita Dey-Plissonneau, Hyowon Lee, Mingming Liu, Vyoma Patel, Michael Scriney, Alan F. Smeaton:
An Analysis of Conversational Volatility During Telecollaboration Sessions for Second Language Learning. CoRR abs/2204.10393 (2022) - 2021
- [j98]Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton:
Attention-Based Design and User Decisions on Information Sharing: A Thematic Literature Review. IEEE Access 9: 83285-83297 (2021) - [j97]Marc Górriz Blanch, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding. IEEE J. Sel. Top. Signal Process. 15(2): 366-377 (2021) - [j96]Shirin Khaki, Emer Duffy, Alan F. Smeaton, Aoife Morrin:
Monitoring of Particulate Matter Emissions from 3D Printing Activity in the Home Setting. Sensors 21(9): 3247 (2021) - [c321]Joe Kinahan, Alan F. Smeaton:
Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles. AICS 2021: 235-247 - [c320]Lorin Sweeney, Graham Healy, Alan F. Smeaton:
The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System. CBMI 2021: 1-6 - [c319]Aparajita Dey-Plissonneau, Hyowon Lee, Vincent Pradier, Michael Scriney, Alan F. Smeaton:
The L2L System for Second Language Learning Using Visualised Zoom Calls Among Students. EC-TEL 2021: 409-413 - [c318]Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton:
Usage-Based Summaries of Learning Videos. EC-TEL 2021: 414-418 - [c317]Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton:
Attention-Based Design and Selective Exposure Amid COVID-19 Misinformation Sharing. HCI (3) 2021: 501-510 - [c316]Marc Górriz Blanch, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Open-Source: Attention-Based Neural Networks For Chroma Intra Prediction In Video Coding. ICME Workshops 2021: 1-2 - [c315]Alan F. Smeaton:
Computer Vision for Supporting Image Search. IVIC 2021: 3-12 - [c314]Rashmiranjan Das, Gaurav Negi, Alan F. Smeaton:
Detecting Deepfake Videos Using Euler Video Magnification. Media Watermarking, Security, and Forensics 2021 - [c313]Alan F. Smeaton:
Lifelogging as a Memory Prosthetic. LSC@ICMR 2021: 1 - [c312]João Magalhães, Tat-Seng Chua, Tao Mei, Alan F. Smeaton:
The Next Generation Multimodal Conversational Search and Recommendation. ACM Multimedia 2021: 953-954 - [c311]Luka Murn, Alan F. Smeaton, Marta Mrak:
Interpreting Super-Resolution CNNs for Sub-Pixel Motion Compensation in Video Coding. ACM Multimedia 2021: 3803-3806 - [c310]Alan F. Smeaton, Naveen Garaga Krishnamurthy, Amruth Hebbasuru Suryanarayana:
Keystroke Dynamics as Part of Lifelogging. MMM (2) 2021: 183-195 - [c309]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton, Paolo Bolzoni:
Chinese Character Decomposition for Neural MT with Multi-Word Expressions. NoDaLiDa 2021: 336-344 - [e32]Halimah Badioze Zaman, Alan F. Smeaton, Timothy K. Shih, Sergio Velastin, Tada Terutoshi, Bo Nørregaard Jørgensen, Hazleen Aris, Nazrita Ibrahim:
Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Kajang, Malaysia, November 23-25, 2021, Proceedings. Lecture Notes in Computer Science 13051, Springer 2021, ISBN 978-3-030-90234-6 [contents] - [i53]Hyowon Lee, Mingming Liu, Hamza Riaz, Navaneethan Rajasekaren, Michael Scriney, Alan F. Smeaton:
Attention Based Video Summaries of Live Online Zoom Classes. CoRR abs/2101.06328 (2021) - [i52]Rashmiranjan Das, Gaurav Negi, Alan F. Smeaton:
Detecting Deepfake Videos Using Euler Video Magnification. CoRR abs/2101.11563 (2021) - [i51]Marc Górriz, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding. CoRR abs/2102.04993 (2021) - [i50]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton, Paolo Bolzoni:
Chinese Character Decomposition for Neural MT with Multi-Word Expressions. CoRR abs/2104.04497 (2021) - [i49]Lorin Sweeney, Graham Healy, Alan F. Smeaton:
The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System. CoRR abs/2104.11568 (2021) - [i48]George Awad, Asad A. Butt, Keith Curtis, Jonathan G. Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quénot:
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains. CoRR abs/2104.13473 (2021) - [i47]Marc Górriz Blanch, Issa Khalifeh, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Attention-based Stylisation for Exemplar Image Colourisation. CoRR abs/2105.01705 (2021) - [i46]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods. CoRR abs/2105.03311 (2021) - [i45]Luka Murn, Saverio G. Blasi, Alan F. Smeaton, Marta Mrak:
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding. CoRR abs/2106.08936 (2021) - [i44]Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor:
Discerning Generic Event Boundaries in Long-Form Wild Videos. CoRR abs/2106.10090 (2021) - [i43]Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton:
Usage-based Summaries of Learning Videos. CoRR abs/2106.13504 (2021) - [i42]Aparajita Dey-Plissonneau, Hyowon Lee, Vincent Pradier, Michael Scriney, Alan F. Smeaton:
The L2L System for Second Language Learning Using Visualised Zoom Calls Among Students. CoRR abs/2106.13512 (2021) - [i41]Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton:
Visual Selective Attention System to Intervene User Attention in Sharing COVID-19 Misinformation. CoRR abs/2110.13489 (2021) - [i40]Alan F. Smeaton:
Computer Vision for Supporting Image Search. CoRR abs/2111.08772 (2021) - [i39]Aparajita Dey-Plissonneau, Hyowon Lee, Michael Scriney, Alan F. Smeaton, Vincent Pradier, Hamza Riaz:
Facilitating reflection in teletandem through automatically generated conversation metrics and playback video. CoRR abs/2111.08788 (2021) - [i38]Srijith Unni, Sushma Suryanarayana Gowda, Alan F. Smeaton:
An Investigation into Keystroke Dynamics and Heart Rate Variability as Indicators of Stress. CoRR abs/2111.09243 (2021) - [i37]Joe Kinahan, Alan F. Smeaton:
Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles. CoRR abs/2111.14557 (2021) - [i36]Andrew Merrigan, Alan F. Smeaton:
Using a GAN to Generate Adversarial Examples to Facial Image Recognition. CoRR abs/2111.15213 (2021) - [i35]Rukiye Savran Kiziltepe, Lorin Sweeney, Mihai Gabriel Constantin, Faiyaz Doctor, Alba Garcia Seco de Herrera, Claire-Hélène Demarty, Graham Healy, Bogdan Ionescu, Alan F. Smeaton:
An Annotated Video Dataset for Computing Video Memorability. CoRR abs/2112.02303 (2021) - [i34]Rukiye Savran Kiziltepe, Mihai Gabriel Constantin, Claire-Hélène Demarty, Graham Healy, Camilo Fosco, Alba Garcia Seco de Herrera, Sebastian Halder, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Lorin Sweeney:
Overview of The MediaEval 2021 Predicting Media Memorability Task. CoRR abs/2112.05982 (2021) - [i33]Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Predicting Media Memorability: Comparing Visual, Textual and Auditory Features. CoRR abs/2112.07969 (2021) - 2020
- [j95]Phuc H. Le-Khac, Graham Healy, Alan F. Smeaton:
Contrastive Representation Learning: A Framework and Review. IEEE Access 8: 193907-193934 (2020) - [j94]Zhengwei Wang, Graham Healy, Alan F. Smeaton, Tomás E. Ward:
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation. Cogn. Comput. 12(1): 13-24 (2020) - [j93]Zhengwei Wang, Qi She, Alan F. Smeaton, Tomás E. Ward, Graham Healy:
Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks. Neurocomputing 405: 26-36 (2020) - [c308]Simranjeet Singh, Rajneesh Sharma, Alan F. Smeaton:
Using GANs to Synthesise Minimum Training Data for Deepfake Generation. AICS 2020: 193-204 - [c307]Marc Górriz Blanch, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Chroma Intra Prediction With Attention-Based CNN Architectures. ICIP 2020: 783-787 - [c306]Luka Murn, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Interpreting CNN For Low Complexity Learned Sub-Pixel Motion Compensation In Video Coding. ICIP 2020: 798-802 - [c305]Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, Noel E. O'Connor:
Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems. ICME 2020: 1-6 - [c304]Feiyan Hu, G. M. Venkatesh, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little:
Utilising Visual Attention Cues for Vehicle Detection and Tracking. ICPR 2020: 5535-5542 - [c303]David Azcona, Kevin McGuinness, Alan F. Smeaton:
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. IDSTA 2020: 149-155 - [c302]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora. LREC 2020: 2970-2979 - [c301]Alba García Seco de Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain, Mihai Gabriel Constantin, Claire-Hélène Demarty, Faiyaz Doctor, Bogdan Ionescu, Alan F. Smeaton:
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable? MediaEval 2020 - [c300]Phuc H. Le-Khac, Ayush K. Rai, Graham Healy, Alan F. Smeaton, Noel E. O'Connor:
Investigating Memorability of Dynamic Media. MediaEval 2020 - [c299]Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Leveraging Audio Gestalt to Predict Media Memorability. MediaEval 2020 - [c298]Graham Healy, Zhengwei Wang, Tomás Ward, Alan F. Smeaton, Cathal Gurrin:
Experiences and Insights from the Collection of a Novel Multimedia EEG Dataset. MMM (2) 2020: 475-486 - [c297]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations. MWE-LEX 2020: 44-57 - [c296]Eoin Brophy, Willie Muehlhausen, Alan F. Smeaton, Tomás E. Ward:
Artifact Abstract: CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications. PerCom 2020: 1 - [c295]Eoin Brophy, Willie Muehlhausen, Alan F. Smeaton, Tomás E. Ward:
CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications. PerCom Workshops 2020: 1-6 - [c294]George Awad, Asad A. Butt, Keith Curtis, Jonathan G. Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quénot:
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains. TRECVID 2020 - [e31]George Awad, Asad A. Butt, Keith Curtis, Jonathan G. Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quénot:
2020 TREC Video Retrieval Evaluation, TRECVID 2020, Gaithersburg, MD, USA, December 8-11, 2020. National Institute of Standards and Technology (NIST) 2020 [contents] - [i32]Zhengwei Wang, Qi She, Alan F. Smeaton, Tomas E. Ward, Graham Healy:
A Neuro-AI Interface for Evaluating Generative Adversarial Networks. CoRR abs/2003.03193 (2020) - [i31]Eoin Brophy, Willie Muehlhausen, Alan F. Smeaton, Tomas E. Ward:
Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications. CoRR abs/2004.00505 (2020) - [i30]Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, Noel E. O'Connor:
Investigating Class-level Difficulty Factors in Multi-label Classification Problems. CoRR abs/2005.00430 (2020) - [i29]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora. CoRR abs/2005.10583 (2020) - [i28]Luka Murn, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video Coding. CoRR abs/2006.06392 (2020) - [i27]Marc Górriz, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Chroma Intra Prediction with attention-based CNN architectures. CoRR abs/2006.15349 (2020) - [i26]Alan F. Smeaton, Hyowon Lee, Niamh Morris, David Hanley:
Using Online Implicit Association Tests in Opinion Polling. CoRR abs/2007.04183 (2020) - [i25]Feiyan Hu, G. M. Venkatesh, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little:
Utilising Visual Attention Cues for Vehicle Detection and Tracking. CoRR abs/2008.00106 (2020) - [i24]Alan F. Smeaton, Swathikiran Srungavarapu, Cyril Messaraa, Claire Tansey:
Tracking Skin Colour and Wrinkle Changes During Cosmetic Product Trials Using Smartphone Images. CoRR abs/2008.01483 (2020) - [i23]George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jonathan G. Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas L. Diduch, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot:
TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval. CoRR abs/2009.09984 (2020) - [i22]David Azcona, Kevin McGuinness, Alan F. Smeaton:
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. CoRR abs/2010.01947 (2020) - [i21]Phuc H. Le-Khac, Graham Healy, Alan F. Smeaton:
Contrastive Representation Learning: A Framework and Review. CoRR abs/2010.05113 (2020) - [i20]Alan F. Smeaton, Naveen Garaga Krishnamurthy, Amruth Hebbasuru Suryanarayana:
Keystroke Dynamics as Part of Lifelogging. CoRR abs/2010.10144 (2020) - [i19]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations. CoRR abs/2011.03783 (2020) - [i18]Simranjeet Singh, Rajneesh Sharma, Alan F. Smeaton:
Using GANs to Synthesise Minimum Training Data for Deepfake Generation. CoRR abs/2011.05421 (2020) - [i17]Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton:
Attention and misinformation sharing on social media. CoRR abs/2012.12593 (2020) - [i16]Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Leveraging Audio Gestalt to Predict Media Memorability. CoRR abs/2012.15635 (2020) - [i15]Phuc H. Le-Khac, Ayush K. Rai, Graham Healy, Alan F. Smeaton, Noel E. O'Connor:
Investigating Memorability of Dynamic Media. CoRR abs/2012.15641 (2020) - [i14]Alba García Seco de Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain, Mihai Gabriel Constantin, Claire-Hélène Demarty, Faiyaz Doctor, Bogdan Ionescu, Alan F. Smeaton:
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable? CoRR abs/2012.15650 (2020)
2010 – 2019
- 2019
- [j92]David Azcona, I-Han Hsiao, Alan F. Smeaton:
Detecting students-at-risk in computer programming classes with learning analytics from students' digital footprints. User Model. User Adapt. Interact. 29(4): 759-788 (2019) - [c293]Laura Cristina Galea, Alan F. Smeaton:
Recognising Irish Sign Language Using Electromyography. CBMI 2019: 1-4 - [c292]Alan F. Smeaton:
Challenges Associated with Generative Forms of Multimedia Content (Keynote Talk). CBMI 2019: 1-3 - [c291]G. M. Venkatesh, Feiyan Hu, Noel E. O'Connor, Alan F. Smeaton, Zhen Yang, Suzanne Little:
Saliency Guided 2D-Object Annotation for Instrumented Vehicles. CBMI 2019: 1-7 - [c290]Lauri Tuovinen, Alan F. Smeaton:
A Domain Ontology and Software Platform for Collaborative Personal Data Analytics. CDVE 2019: 1-10 - [c289]Lauri Tuovinen, Alan F. Smeaton:
Unlocking the Black Box of Wearable Intelligence: Ethical Considerations and Social Impact. CEC 2019: 3235-3243 - [c288]Lauri Tuovinen, Alan F. Smeaton:
Remote Collaborative Knowledge Discovery for Better Understanding of Self-tracking Data. FRUCT 2019: 324-332 - [c287]David Azcona, Piyush Arora, I-Han Hsiao, Alan F. Smeaton:
user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code. LAK 2019: 86-95 - [c286]David Azcona, Enric Moreu, Feiyan Hu, Tomás E. Ward, Alan F. Smeaton:
Predicting Media Memorability Using Ensemble Models. MediaEval 2019 - [c285]Shih-Fu Chang, Louis-Philippe Morency, Alexander G. Hauptmann, Alberto Del Bimbo, Cathal Gurrin, Hayley Hung, Heng Ji, Alan F. Smeaton:
PANEL: Challenges for Multimedia/Multimodal Research in the Next Decade. ACM Multimedia 2019: 2234-2235 - [c284]Alan F. Smeaton, Yvette Graham, Kevin McGuinness, Noel E. O'Connor, Seán Quinn, Eric Arazo Sanchez:
Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions. MMM (1) 2019: 178-190 - [c283]Marc Górriz Blanch, Marta Mrak, Alan F. Smeaton, Noel E. O'Connor:
End-to-End Conditional GAN-based Architectures for Image Colourisation. MMSP 2019: 1-6 - [c282]Seán Quinn, Noel Murphy, Alan F. Smeaton:
Tracking Human Behavioural Consistency by Analysing Periodicity of Household Water Consumption. SSIP 2019: 1-5 - [c281]George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jonathan G. Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas L. Diduch, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot:
TRECVID 2019: An evaluation campaign to benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & retrieval. TRECVID 2019 - [e30]Halimah Badioze Zaman, Alan F. Smeaton, Timothy K. Shih, Sergio A. Velastin, Tada Terutoshi, Nazlena Mohamad Ali, Mohammad Nazir Ahmad:
Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Bangi, Malaysia, November 19-21, 2019, Proceedings. Lecture Notes in Computer Science 11870, Springer 2019, ISBN 978-3-030-34031-5 [contents] - [e29]George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jon Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas L. Diduch, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot:
2019 TREC Video Retrieval Evaluation, TRECVID 2019, Gaithersburg, MD, USA, November 12-13, 2019. National Institute of Standards and Technology (NIST) 2019 [contents] - [i13]Zhengwei Wang, Graham Healy, Alan F. Smeaton, Tomas E. Ward:
Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation. CoRR abs/1901.04618 (2019) - [i12]Zhengwei Wang, Qi She, Alan F. Smeaton, Tomas E. Ward, Graham Healy:
Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks. CoRR abs/1905.04243 (2019) - [i11]Seán Quinn, Noel Murphy, Alan F. Smeaton:
Tracking Human Behavioural Consistency by Analysing Periodicity of Household Water Consumption. CoRR abs/1905.05025 (2019) - [i10]Marc Górriz, Marta Mrak, Alan F. Smeaton, Noel E. O'Connor:
End-to-End Conditional GAN-based Architectures for Image Colourisation. CoRR abs/1908.09873 (2019) - 2018
- [c280]Eoin Brophy, Zhengwei Wang, José Juan Dominguez Veiga, Alan F. Smeaton, Tomas E. Ward:
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data. AICS 2018: 232-243 - [c279]David Azcona, I-Han Hsiao, Alan F. Smeaton:
Modelling Math Learning on an Open Access Intelligent Tutor. AIED (2) 2018: 36-40 - [c278]Yancy Vance M. Paredes, David Azcona, I-Han Hsiao, Alan F. Smeaton:
Learning by Reviewing Paper-Based Programming Assessments. EC-TEL 2018: 510-523 - [c277]David Azcona, I-Han Hsiao, Alan F. Smeaton:
An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses. EC-TEL 2018: 644-647 - [c276]David Azcona, I-Han Hsiao, Alan F. Smeaton:
Personalizing Computer Science Education by Leveraging Multimodal Learning Analytics. FIE 2018: 1-9 - [c275]Alan F. Smeaton, Owen Corrigan, Paul Dockree, Cathal Gurrin, Graham Healy, Feiyan Hu, Kevin McGuinness, Eva Mohedano, Tomás Ward:
Dublin's Participation in the Predicting Media Memorability Task at MediaEval 2018. MediaEval 2018 - [c274]Feiyan Hu, Alan F. Smeaton:
Image Aesthetics and Content in Selecting Memorable Keyframes from Lifelogs. MMM (1) 2018: 608-619 - [c273]Stevan Rudinac, Tat-Seng Chua, Nicolás E. Díaz Ferreyra, Gerald Friedland, Tatjana Gornostaja, Benoit Huet, Rianne Kaptein, Krister Lindén, Marie-Francine Moens, Jaakko Peltonen, Miriam Redi, Markus Schedl, David A. Shamma, Alan F. Smeaton, Lexing Xie:
Rethinking Summarization and Storytelling for Modern Social Multimedia. MMM (1) 2018: 632-644 - [c272]George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jonathan G. Fiscus, Afzal Godil, David Joy, Andrew Delgado, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot, João Magalhães, David Semedo, Saverio G. Blasi:
TRECVID 2018: Benchmarking Video Activity Detection, Video Captioning and Matching, Video Storytelling Linking and Video Search. TRECVID 2018 - [e28]George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jonathan G. Fiscus, Afzal Godil, David Joy, Andrew Delgado, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot, João Magalhães, David Semedo, Saverio G. Blasi:
2018 TREC Video Retrieval Evaluation, TRECVID 2018, Gaithersburg, MD, USA, November 13-15, 2018. National Institute of Standards and Technology (NIST) 2018 [contents] - [i9]Zhengwei Wang, Graham Healy, Alan F. Smeaton, Tomás E. Ward:
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation. CoRR abs/1811.04172 (2018) - [i8]Eoin Brophy, José Juan Dominguez Veiga, Zhengwei Wang, Alan F. Smeaton, Tomás E. Ward:
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data. CoRR abs/1812.00668 (2018) - 2017
- [j91]Peng Wang, Lifeng Sun, Shiqiang Yang, Alan F. Smeaton:
Training-free indexing refinement for visual media via multi-semantics. Neurocomputing 236: 39-47 (2017) - [j90]Zhenxing Zhang, Rami Albatal, Cathal Gurrin, Alan F. Smeaton:
Enhancing instance search with weak geometric correlation consistency. Neurocomputing 236: 164-172 (2017) - [c271]David Azcona, Alan F. Smeaton:
Targeting At-risk Students Using Engagement and Effort Predictors in an Introductory Computer Programming Course. EC-TEL 2017: 361-366 - [c270]Philip Scanlon, Alan F. Smeaton:
Using WiFi Technology to Identify Student Activities Within a Bounded Environment. EC-TEL 2017: 473-478 - [c269]Owen Corrigan, Alan F. Smeaton:
A Course Agnostic Approach to Predicting Student Success from VLE Log Data Using Recurrent Neural Networks. EC-TEL 2017: 545-548 - [c268]