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- affiliation: Dublin City University, Ireland
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2020 – today
- 2023
[j101]Alan F. Smeaton
, Feiyan Hu:
Periodicity Intensity Reveals Insights into Time Series Data: Three Use Cases. Algorithms 16(2): 119 (2023)- [c332]Hitesh Raju, Ankit Sharma, Aoife Smeaton, Alan F. Smeaton:
Automatic Detection of Signalling Behaviour from Assistance Dogs as they Forecast the Onset of Epileptic Seizures in Humans. SAC 2023: 585-592 - [c331]Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor:
Motion Aware Self-Supervision for Generic Event Boundary Detection. WACV 2023: 2727-2738 - [e34]Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13833, Springer 2023, ISBN 978-3-031-27076-5 [contents] - [e33]Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13834, Springer 2023, ISBN 978-3-031-27817-4 [contents] - [i78]Hamza Riaz, Alan F. Smeaton:
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation. CoRR abs/2301.06975 (2023) - [i77]Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor:
Unifying Synergies between Self-supervised Learning and Dynamic Computation. CoRR abs/2301.09164 (2023) - [i76]Alan F. Smeaton, Feiyan Hu:
Periodicity Intensity Reveals Insights into Time Series Data: Three Use Cases. CoRR abs/2302.09293 (2023) - [i75]Hitesh Raju, Ankit Sharma, Aoife Smeaton, Alan F. Smeaton:
Automatic Detection of Signalling Behaviour from Assistance Dogs as they Forecast the Onset of Epileptic Seizures in Humans. CoRR abs/2303.06407 (2023) - [i74]Deniss Strods, Alan F. Smeaton:
Enhancing Gappy Speech Audio Signals with Generative Adversarial Networks. CoRR abs/2305.05780 (2023) - [i73]Colin Hehir, Alan F. Smeaton:
Calculating the matrix profile from noisy data. CoRR abs/2306.10151 (2023) - [i72]Claire M. Timon, Pamela Hussey, Hyowon Lee, Catriona Murphy, Harsh Vardan Rai, Alan F. Smeaton:
Automatically detecting activities of daily living from in-home sensors as indicators of routine behaviour in an older population. CoRR abs/2307.04563 (2023) - [i71]Xiao Liu, Alessandra Mileo, Alan F. Smeaton:
Defect Classification in Additive Manufacturing Using CNN-Based Vision Processing. CoRR abs/2307.07378 (2023) - [i70]Hamza Riaz, Alan F. Smeaton:
Domain Generalisation with Bidirectional Encoder Representations from Vision Transformers. CoRR abs/2307.08117 (2023) - [i69]Sharmistha S. Sawant, Saloni D. Thakare, Derek Greene, Gerardine Meaney, Alan F. Smeaton:
Handwriting Analysis on the Diaries of Rosamond Jacob. CoRR abs/2308.08697 (2023) - [i68]Iya Chivileva, Philip Lynch, Tomas E. Ward, Alan F. Smeaton:
Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset. CoRR abs/2309.08009 (2023) - [i67]Vaibhav Mudgal, Qingyang Wang, Lorin Sweeney, Alan F. Smeaton:
Using Saliency and Cropping to Improve Video Memorability. CoRR abs/2309.11881 (2023) - [i66]Aniket Jagtap, RamaKrishna Venkatesh Saripalli, Joe Lemley, Waseem Shariff, Alan F. Smeaton:
Heart Rate Detection Using an Event Camera. CoRR abs/2309.11891 (2023) - 2022
- [j100]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) - [j99]Victoria Rhodes, Maureen Maguire, Meghana Shetty, Conor McAloon, Alan F. Smeaton:
Periodicity Intensity of the 24 h Circadian Rhythm in Newborn Calves Show Indicators of Herd Welfare. Sensors 22(15): 5843 (2022) - [c330]Xiao Liu, Alan F. Smeaton, Alessandra Mileo:
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision. IEEE Big Data 2022: 4021-4027 - [c329]Seán Cummins, Lorin Sweeney, Alan F. Smeaton:
Analysing the Memorability of a Procedural Crime-Drama TV Series, CSI. CBMI 2022: 174-180 - [c328]David Azcona, Alan F. Smeaton:
Brand Recommendations for Cold-Start Problems Using Brand Embeddings. IntelliSys (3) 2022: 724-733 - [c327]Andrew Merrigan, Alan F. Smeaton:
Using a GAN to Generate Adversarial Examples to Facial Image Recognition. Media Watermarking, Security, and Forensics 2022: 1-6 - [c326]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 - [i65]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) - [i64]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) - [i63]Alan F. Smeaton, Aparajita Dey-Plissonneau, Hyowon Lee, Mingming Liu, Michael Scriney:
Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning. CoRR abs/2206.13965 (2022) - [i62]Tarun Krishna, Ayush K. Rai, Yasser Abdelaziz Dahou Djilali, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor:
Dynamic Channel Selection in Self-Supervised Learning. CoRR abs/2207.12065 (2022) - [i61]Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton:
Playback-centric visualisations of video usage using weighted interactions to guide where to watch in an educational context. CoRR abs/2207.12903 (2022) - [i60]Seán Cummins, Lorin Sweeney, Alan F. Smeaton:
Analysing the Memorability of a Procedural Crime-Drama TV Series, CSI. CoRR abs/2208.03479 (2022) - [i59]Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor:
Motion Aware Self-Supervision for Generic Event Boundary Detection. CoRR abs/2210.05574 (2022) - [i58]Alba Garcia Seco de Herrera, Mihai Gabriel Constantin, Claire-Hélène Demarty, Camilo Fosco, Sebastian Halder, Graham Healy, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Mushfika Sultana, Lorin Sweeney:
Experiences from the MediaEval Predicting Media Memorability Task. CoRR abs/2212.03955 (2022) - [i57]Xiao Liu, Alan F. Smeaton, Alessandra Mileo:
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision. CoRR abs/2212.06153 (2022) - [i56]Lorin Sweeney, Mihai Gabriel Constantin, Claire-Hélène Demarty, Camilo Fosco, Alba Garcia Seco de Herrera, Sebastian Halder, Graham Healy, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Mushfika Sultana:
Overview of The MediaEval 2022 Predicting Video Memorability Task. CoRR abs/2212.06516 (2022) - [i55]Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability. CoRR abs/2212.09308 (2022) - [i54]Dinh Viet Cuong, Phuc H. Le-Khac, Adam Stapleton, Elke Eichelmann, Mark Roantree, Alan F. Smeaton:
Managing Large Dataset Gaps in Urban Air Quality Prediction: DCU-Insight-AQ at MediaEval 2022. CoRR abs/2212.10273 (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) - [c325]Joe Kinahan, Alan F. Smeaton:
Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles. AICS 2021: 235-247 - [c324]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 - [c323]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 - [c322]Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton:
Usage-Based Summaries of Learning Videos. EC-TEL 2021: 414-418 - [c321]Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton:
Attention-Based Design and Selective Exposure Amid COVID-19 Misinformation Sharing. HCI (3) 2021: 501-510 - [c320]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 - [c319]Alan F. Smeaton:
Computer Vision for Supporting Image Search. IVIC 2021: 3-12 - [c318]Rukiye Savran Kiziltepe, Mihai Gabriel Constantin, Claire-Hélène Demarty, Graham Healy, Camilo Fosco, Alba García Seco de Herrera, Sebastian Halder, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Lorin Sweeney:
Overview of The MediaEval 2021 Predicting Media Memorability Task. MediaEval 2021 - [c317]Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Predicting Media Memorability: Comparing Visual, Textual, and Auditory Features. MediaEval 2021 - [c316]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. MediaEval 2021 - [c315]Rashmiranjan Das, Gaurav Negi, Alan F. Smeaton:
Detecting Deepfake Videos Using Euler Video Magnification. Media Watermarking, Security, and Forensics 2021 - [c314]Alan F. Smeaton:
Lifelogging as a Memory Prosthetic. LSC@ICMR 2021: 1 - [c313]João Magalhães, Tat-Seng Chua, Tao Mei, Alan F. Smeaton:
The Next Generation Multimodal Conversational Search and Recommendation. ACM Multimedia 2021: 953-954 - [c312]Luka Murn, Alan F. Smeaton, Marta Mrak:
Interpreting Super-Resolution CNNs for Sub-Pixel Motion Compensation in Video Coding. ACM Multimedia 2021: 3803-3806 - [c311]Alan F. Smeaton, Naveen Garaga Krishnamurthy, Amruth Hebbasuru Suryanarayana:
Keystroke Dynamics as Part of Lifelogging. MMM (2) 2021: 183-195 - [c310]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 A. 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) - [c309]Simranjeet Singh, Rajneesh Sharma, Alan F. Smeaton:
Using GANs to Synthesise Minimum Training Data for Deepfake Generation. AICS 2020: 193-204 - [c308]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 - [c307]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 - [c306]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 - [c305]Feiyan Hu, Venkatesh G M, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little:
Utilising Visual Attention Cues for Vehicle Detection and Tracking. ICPR 2020: 5535-5542 - [c304]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 - [c303]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora. LREC 2020: 2970-2979 - [c302]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 - [c301]Phuc H. Le-Khac, Ayush K. Rai, Graham Healy, Alan F. Smeaton, Noel E. O'Connor:
Investigating Memorability of Dynamic Media. MediaEval 2020 - [c300]Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Leveraging Audio Gestalt to Predict Media Memorability. MediaEval 2020 - [c299]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 - [c298]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations. MWE-LEX 2020: 44-57 - [c297]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 - [c296]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 - [c295]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, Venkatesh G M, 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) - [c294]Laura Cristina Galea, Alan F. Smeaton:
Recognising Irish Sign Language Using Electromyography. CBMI 2019: 1-4 - [c293]Alan F. Smeaton:
Challenges Associated with Generative Forms of Multimedia Content (Keynote Talk). CBMI 2019: 1-3 - [c292]Venkatesh G M, 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 - [c291]