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Tomás Ward
Tomás E. Ward – Tomas E. Ward
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2020 – today
- 2024
- [j41]Xin Jiang, Hongbo Liu, Liping Yang, Bo Zhang, Tomas E. Ward, Václav Snásel:
Unraveling human social behavior motivations via inverse reinforcement learning-based link prediction. Computing 106(6): 1963-1986 (2024) - [j40]Long Cheng
, Li Du, Cong Liu
Multi-modal fusion for business process prediction in call center scenarios. Inf. Fusion 108: 102362 (2024) - [j39]Munan Li
Heterogeneous Meta-Path Graph Learning for Higher-Order Social Recommendation. ACM Trans. Knowl. Discov. Data 18(8): 197:1-197:25 (2024) - [j38]Kai Liu
Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12528-12539 (2024) - 2023
- [j37]Eoin Brophy
Generative Adversarial Networks in Time Series: A Systematic Literature Review. ACM Comput. Surv. 55(10): 199:1-199:31 (2023) - [j36]Xin Jiang
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks. ACM Trans. Knowl. Discov. Data 17(3): 43:1-43:21 (2023) - [c62]Karla Aniela Cepeda Zapata, Tomás Ward, Róisín Loughran, Fergal McCaffery:
A Review of the Artificial Intelligence Act Proposal and the Medical Device Regulation. AICS 2023: 1-6 - [c61]Nam Trinh, Robert Whelan, Tomás Ward, Gérard Derosière:
Task-Related and Resting-State EEG Classification of Adult Patients with ADHD Using Machine Learning. BSN 2023: 1-4 - [c60]Karla Aniela Cepeda Zapata, Ritesh Patil, Tomás Ward, Róisín Loughran, Fergal McCaffery:
Analysis of the Classification of Medical Device Software in the AI Act Proposal. HHAI Workshops 2023: 19-34 - [c59]Sonal Santosh Baberwal, Luz Alejandra Magre
Protocol design and testing to investigate Motor Imagery training using cues in different mediums: A pilot study. CCE 2023: 1-6 - [c58]Sandra-Carina Noble
Comparing the Effect of Different Electrode Subsets on P300 Speller Performance. SMC 2023: 1110-1115 - [i23]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) - [i22]Andrey Totev, Tomás Ward:
Offline Detection of Misspelled Handwritten Words by Convolving Recognition Model Features with Text Labels. CoRR abs/2309.10158 (2023) - [i21]Sen Yan, Hongyuan Fang, Ji Li, Tomás Ward, Noel E. O'Connor, Mingming Liu:
Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning. CoRR abs/2312.07371 (2023) - 2022
- [j35]Eoin Brophy
Improved Electrode Motion Artefact Denoising in ECG Using Convolutional Neural Networks and a Custom Loss Function. IEEE Access 10: 54891-54898 (2022) - [j34]Zhengwei Wang
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy. ACM Comput. Surv. 54(2): 37:1-37:38 (2022) - [j33]Yifeng Huang, Long Cheng
Deep Adversarial Imitation Reinforcement Learning for QoS-Aware Cloud Job Scheduling. IEEE Syst. J. 16(3): 4232-4242 (2022) - [c57]Karla Aniela Cepeda Zapata
Challenges Associated with the Adoption of Artificial Intelligence in Medical Device Software. AICS 2022: 163-174 - [c56]Lili Zhang
Computational Phenotyping of Decision-Making over Voice Interfaces. AICS 2022: 475-487 - [c55]Peter Redmond
An Open Source Multi-Modal Data-Acquisition Platform for Experimental Investigation of Blended Control of Scale Vehicles. MetroXRAINE 2022: 673-678 - [c54]Sandra-Carina Noble
A Phenomenological Model of Cognitive Performance as a Measure of Attention in a P300-Speller Task. SMC 2022: 1961-1966 - [i20]Zhenshuo Chen
Malware Classification Using Static Disassembly and Machine Learning. CoRR abs/2201.07649 (2022) - 2021
- [j32]Eoin Brophy
Multivariate Generative Adversarial Networks and Their Loss Functions for Synthesis of Multichannel ECGs. IEEE Access 9: 158936-158945 (2021) - [j31]Sinéad Barton
Convolution Network with Custom Loss Function for the Denoising of Low SNR Raman Spectra. Sensors 21(14): 4623 (2021) - [j30]Eoin Brophy
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach. Sensors 21(18): 6311 (2021) - [j29]Kai Liu
Self-Adaptive Skeleton Approaches to Detect Self-Organized Coalitions From Brain Functional Networks Through Probabilistic Mixture Models. ACM Trans. Knowl. Discov. Data 15(5): 87:1-87:26 (2021) - [c53]Zhenshuo Chen
Malware Classification Using Static Disassembly and Machine Learning. AICS 2021: 48-59 - [c52]Mel Arthurs
Accurate Reaction Times on Smartphones: The Challenges of Developing a Mobile Psychomotor Vigilance Task. ISWC 2021: 53-57 - [c51]Sandra-Carina Noble
Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation. NER 2021: 813-816 - [i19]Eoin Brophy, Maarten De Vos, Geraldine B. Boylan, Tomás Ward:
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach. CoRR abs/2102.12245 (2021) - [i18]Sandra-Carina Noble, Tomás Ward, John V. Ringwood:
Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation. CoRR abs/2103.06664 (2021) - [i17]Eoin Brophy, Zhengwei Wang, Qi She, Tomás Ward:
Generative adversarial networks in time series: A survey and taxonomy. CoRR abs/2107.11098 (2021) - [i16]John Weldon, Tomás Ward, Eoin Brophy:
Generation of Synthetic Electronic Health Records Using a Federated GAN. CoRR abs/2109.02543 (2021) - [i15]Nathan Crone, Eoin Brophy, Tomás Ward:
Exploration of Algorithmic Trading Strategies for the Bitcoin Market. CoRR abs/2110.14936 (2021) - [i14]Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomás Ward:
ECG synthesis with Neural ODE and GAN models. CoRR abs/2111.00314 (2021) - 2020
- [j28]Zhengwei Wang
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation. Cogn. Comput. 12(1): 13-24 (2020) - [j27]Zhengwei Wang
Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks. Neurocomputing 405: 26-36 (2020) - [j26]Heechul Bae, Eoin Brophy, Rosa H. M. Chan, Baoquan Chen, Fan Feng
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. IEEE Robotics Autom. Mag. 27(2): 11-16 (2020) - [c50]Dineshraj Gunasekaran, Gautham Venkatraj, Eoin Brophy, Tomás Ward:
Improved Speech Synthesis using Generative Adversarial Networks. AICS 2020: 241-252 - [c49]Graham Healy
Experiences and Insights from the Collection of a Novel Multimedia EEG Dataset. MMM (2) 2020: 475-486 - [c48]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 - [c47]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 - [c46]Yingqi Gu, Akshay Zalkikar, Lara Kelly, Kieran Daly, Tomas E. Ward:
Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning. WF-IoT 2020: 1-7 - [i13]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) - [i12]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) - [i11]Yingqi Gu, Akshay Zalkikar, Lara Kelly, Kieran Daly, Tomas E. Ward:
Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning. CoRR abs/2004.01144 (2020) - [i10]Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German Ignacio Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. CoRR abs/2004.14774 (2020)
2010 – 2019
- 2019
- [c45]David Azcona, Enric Moreu, Feiyan Hu, Tomás E. Ward, Alan F. Smeaton:
Predicting Media Memorability Using Ensemble Models. MediaEval 2019 - [i9]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) - [i8]Eoin Brophy, Zhengwei Wang, Tomas E. Ward:
Quick and Easy Time Series Generation with Established Image-based GANs. CoRR abs/1902.05624 (2019) - [i7]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) - [i6]Zhengwei Wang, Qi She, Tomas E. Ward:
Generative Adversarial Networks: A Survey and Taxonomy. CoRR abs/1906.01529 (2019) - [i5]Anne Marie Delaney, Eoin Brophy, Tomas E. Ward:
Synthesis of Realistic ECG using Generative Adversarial Networks. CoRR abs/1909.09150 (2019) - 2018
- [c44]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 - [c43]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 - [i4]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) - [i3]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
- [j25]Long Cheng
Improving the robustness and performance of parallel joins over distributed systems. J. Parallel Distributed Comput. 109: 310-323 (2017) - [j24]Mahnaz Arvaneh
Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement. Neural Comput. Appl. 28(11): 3259-3272 (2017) - [c42]Graham Healy, Tomás Ward, Cathal Gurrin, Alan F. Smeaton:
Overview of NTCIR-13 NAILS Task. NTCIR 2017 - 2016
- [j23]Long Cheng
Fast Compression of Large Semantic Web Data Using X10. IEEE Trans. Parallel Distributed Syst. 27(9): 2603-2617 (2016) - [c41]Daud Sikander, Mahnaz Arvaneh
Predicting risk of suicide using resting state heart rate. APSIPA 2016: 1-4 - [c40]Simon O'Keeffe, Tomas E. Ward
Improving Task Performance through High Level Shared Control of Multiple Robots with a Context Aware Human-Robot Interface. ICARSC 2016: 277-282 - [c39]José Juan Dominguez Veiga
Data collection requirements for mobile connected health: an end user development approach. Mobile!@SPLASH 2016: 23-30 - [c38]Darragh Whelan, Martin O'Reilly, Tomás E. Ward, Eamonn Delahunt, Brian Caulfield:
Evaluating performance of the lunge exercise with multiple and individual inertial measurement units. PervasiveHealth 2016: 101-108 - 2015
- [j22]Joseph Timoney, Sean O'Leary, Dawid Czesak, Victor Lazzarini, Eoghan E. Conway, Tomas E. Ward
The BeatHealth Project: Application to a Ubiquitous Computing and Music Framework. J. Cases Inf. Technol. 17(4): 29-52 (2015) - [j21]Gérard Derosière
Expectations induced by natural-like temporal fluctuations are independent of attention decrement: Evidence from behavior and early visual evoked potentials. NeuroImage 104: 278-286 (2015) - [c37]Martin O'Reilly, Darragh Whelan, Charalampos Chanialidis, Nial Friel
Evaluating squat performance with a single inertial measurement unit. BSN 2015: 1-6 - [c36]Mahnaz Arvaneh
Effects of feedback latency on P300-based brain-computer interface. EMBC 2015: 2315-2318 - [c35]Darragh Whelan, Martin O'Reilly, Tomás Ward
Evaluating Performance of the Single Leg Squat Exercise with a Single Inertial Measurement Unit. REHAB 2015: 144-147 - [c34]Long Cheng
High throughput indexing for large-scale semantic web data. SAC 2015: 416-422 - [i2]Mahnaz Arvaneh, Tomás E. Ward, Ian H. Robertson:
Effects of Feedback Latency on P300-based Brain-computer Interface. CoRR abs/1510.07262 (2015) - 2014
- [j20]Gérard Derosière
Similar scaling of contralateral and ipsilateral cortical responses during graded unimanual force generation. NeuroImage 85: 471-477 (2014) - [c33]Long Cheng
Efficiently Handling Skew in Outer Joins on Distributed Systems. CCGRID 2014: 295-304 - [c32]Long Cheng
Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems. CIKM 2014: 1399-1408 - [c31]Aodhan L. Coffey, Darren J. Leamy, Tomás E. Ward
A novel BCI-controlled pneumatic glove system for home-based neurorehabilitation. EMBC 2014: 3622-3625 - [c30]Aodhan L. Coffey, Tomás E. Ward
Slacking in the context of agent-based assessment in virtual rehabilitation systems. EMBC 2014: 5844-5847 - [c29]Mahnaz Arvaneh
Subject-to-subject adaptation to reduce calibration time in motor imagery-based brain-computer interface. EMBC 2014: 6501-6504 - [c28]Long Cheng
Robust and Efficient Large-Large Table Outer Joins on Distributed Infrastructures. Euro-Par 2014: 258-269 - [c27]Long Cheng
Design and evaluation of parallel hashing over large-scale data. HiPC 2014: 1-10 - [c26]Long Cheng
A two-tier index architecture for fast processing large RDF data over distributed memory. HT 2014: 300-302 - [c25]Ilias Tachmazidis
Massively Parallel Reasoning under the Well-Founded Semantics Using X10. ICTAI 2014: 162-169 - [c24]Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
A Fully Parallel Framework for Analyzing RDF Data. ISWC (Posters & Demos) 2014: 289-292 - [i1]Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos:
Scalable RDF Data Compression using X10. CoRR abs/1403.2404 (2014) - 2013
- [j19]Kevin T. Sweeney, Seán F. McLoone
The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique. IEEE Trans. Biomed. Eng. 60(1): 97-105 (2013) - [c23]Kevin T. Sweeney, Damien Kearney, Tomás E. Ward
Employing ensemble empirical mode decomposition for artifact removal: Extracting accurate respiration rates from ECG data during ambulatory activity. EMBC 2013: 977-980 - [c22]Aodhan L. Coffey, Tomás E. Ward
A Sensor Glove System for Rehabilitation in Instrumental Activities of Daily Living. HCI (29) 2013: 135-139 - [c21]Long Cheng
QbDJ: A Novel Framework for Handling Skew in Parallel Join Processing on Distributed Memory. HPCC/EUC 2013: 1519-1527 - 2012
- [j18]Anthea M. Middleton, Tomas E. Ward
The Pursuit of Flow in the Design of Rehabilitation Systems for Ambient Assisted Living: A Review of Current Knowledge. Int. J. Ambient Comput. Intell. 4(1): 54-65 (2012) - [j17]Kevin T. Sweeney, Tomás E. Ward
Artifact Removal in Physiological Signals - Practices and Possibilities. IEEE Trans. Inf. Technol. Biomed. 16(3): 488-500 (2012) - [j16]Kevin T. Sweeney, Hasan Ayaz
A Methodology for Validating Artifact Removal Techniques for Physiological Signals. IEEE Trans. Inf. Technol. Biomed. 16(5): 918-926 (2012) - [j15]Xin Zhang, Tomás Ward
Comparison of predictive contract mechanisms from an information theory perspective. ACM Trans. Multim. Comput. Commun. Appl. 8(2): 18:1-18:18 (2012) - [j14]Xin Zhang, Tomás E. Ward
An information-based dynamic extrapolation model for networked virtual environments. ACM Trans. Multim. Comput. Commun. Appl. 8(3): 27:1-27:19 (2012) - [c20]Long Cheng
Runtime Characterization of Triple Stores. CSE 2012: 66-73 - [c19]Seamus C. McLoone, Patrick J. Walsh, Tomás E. Ward
An Enhanced Dead Reckoning Model for Physics-Aware Multiplayer Computer Games. DS-RT 2012: 111-117 - [c18]Seamus C. McLoone, Tomás E. Ward
An Adaptive Rate-Based Method for Maintaining Consistency in Networked Multiplayer Computer Games. DS-RT 2012: 155-156 - 2011
- [j13]Aodhan L. Coffey, Tomás E. Ward
Game Theory: A Potential Tool for the Design and Analysis of Patient-Robot Interaction Strategies. Int. J. Ambient Comput. Intell. 3(3): 43-51 (2011) - [c17]Kevin T. Sweeney, Hasan Ayaz
A methodology for validating artifact removal techniques for fNIRS. EMBC 2011: 4943-4946 - [c16]Darren J. Leamy, Tomás E. Ward
Functional Near Infrared Spectroscopy (fNIRS) synthetic data generation. EMBC 2011: 6589-6592 - [c15]Darren J. Leamy, Rónán Collins, Tomás Ward
Combining fNIRS and EEG to Improve Motor Cortex Activity Classification during an Imagined Movement-Based Task. HCI (20) 2011: 177-185 - [c14]Hendrik Koesling, Alan Kenny, Andrea Finke
Towards intelligent user interfaces: anticipating actions in computer games. NGCA 2011: 4 - 2010
- [j12]Damien Marshall, Seamus C. McLoone, Tomás Ward
Optimizing consistency by maximizing bandwidth usage in distributed interactive applications. ACM Trans. Multim. Comput. Commun. Appl. 6(4): 30:1-30:23 (2010) - [c13]Edmond Mitchell, Shirley Coyle
Breathing Feedback System with Wearable Textile Sensors. BSN 2010: 56-61
2000 – 2009
- 2009
- [j11]Alan Kenny, Seamus C. McLoone, Tomás Ward
Controlling entity state updates to maintain remote consistency within a distributed interactive application. ACM Trans. Internet Techn. 9(4): 15:1-15:25 (2009) - [c12]Xin Zhang, Tomás Ward
Exploring an Information Framework for Consistency Maintenance in Distributed Interactive Applications. DS-RT 2009: 121-128 - 2008
- [j10]Xin Zhang, Tomás Ward, Seamus C. McLoone:
Towards an Information Model of Consistency Maintenance in Distributed Interactive Applications. Int. J. Comput. Games Technol. 2008: 371872:1-371872:10 (2008) - [j9]Dave Roberts, Rob Aspin
Bounding Inconsistency Using a Novel Threshold Metric for Dead Reckoning Update Packet Generation. Simul. 84(5): 239-256 (2008) - [j8]Fiachra Matthews, Barak A. Pearlmutter
Hemodynamics for Brain-Computer Interfaces. IEEE Signal Process. Mag. 25(1): 87-94 (2008) - 2007
- [j7]Tomás E. Ward
A Concept for Extending the Applicability of Constraint-Induced Movement Therapy through Motor Cortex Activity Feedback Using a Neural Prosthesis. Comput. Intell. Neurosci. 2007 (2007) - [j6]Aaron McCoy, Tomás Ward
Multistep-ahead neural-network predictors for network traffic reduction in distributed interactive applications. ACM Trans. Model. Comput. Simul. 17(4): 16 (2007) - 2006
- [j5]Damien Marshall, Tomás Ward, Seamus C. McLoone:
From chasing dots to reading minds: the past, present, and future of video game interaction. ACM Crossroads 13(2): 10 (2006) - [j4]Declan Delaney, Tomás Ward
On Consistency and Network Latency in Distributed Interactive Applications: A Survey - Part I. Presence Teleoperators Virtual Environ. 15(2): 218-234 (2006) - [j3]Declan Delaney, Tomás Ward
On Consistency and Network Latency in Distributed Interactive Applications: A Survey - Part II. Presence Teleoperators Virtual Environ. 15(4): 465-482 (2006) - [c11]Damien Marshall, Seamus C. McLoone, David J. Roberts, Declan Delaney, Tomás Ward
Exploring the Effect of Curvature on the Consistency of Dead Reckoned Paths for Different Error Threshold Metrics. DS-RT 2006: 77-84 - [c10]Damien Marshall, Seamus C. McLoone, Declan Delaney, Tomás Ward
Statistical Determination of Hybrid Threshold Parameters for Entity State Update Mechanisms in Distributed Interactive Applications. DS-RT 2006: 85-94 - [c9]John Foody, Daniel Kelly, Damini Kumar, Diarmaid Fitzgerald, Tomás Ward
A Prototype Sourceless Kinematic-Feedback Based Video Game for Movement Based Exercise. EMBC 2006: 5366-5369 - [c8]Andrew J. Page
Distributed Monte Carlo simulation of light transportation in tissue. IPDPS 2006 - [c7]Damien Marshall, Dave Roberts, Declan Delaney, Seamus C. McLoone, Tomás Ward
Dealing with the Effect of Path Curvature on Consistency of Dead Reckoned Paths in Networked Virtual Environments. VR 2006: 293-294 - 2005
- [j2]Aaron McCoy, Declan Delaney, Tomás Ward:
Game-state fidelity across distributed interactive games. ACM Crossroads 12(1): 3 (2005) - [c6]David J. Roberts, Damien Marshall, Rob Aspin
Exploring the Use of Local Consistency Measures as Thresholds for Dead Reckoning Update Packet Generation. DS-RT 2005: 195-202 - 2004
- [c5]Aaron McCoy, Seamus C. McLoone, Tomás Ward
Investigating Behavioural State Data-Partitioning for User-Modelling in Distributed Interactive Applications. DS-RT 2004: 74-82 - [c4]Dermot Madden, Declan Delaney, Seamus C. McLoone, Tomás Ward
Visibility Path-Finding in Relation to Hybrid Strategy-Based Models in Distributed Interactive Applications. DS-RT 2004: 91-97 - [c3]Damien Marshall, Declan Delaney, Seamus C. McLoone, Tomás Ward
Exploring the Spatial Density of Strategy Models in a Realistic Distributed Interactive Application. DS-RT 2004: 210-213 - 2003
- [j1]Aaron McCoy, Declan Delaney, Tomás Ward:
Game-state fidelity across distributed interactive games. ACM Crossroads 9(4): 4-9 (2003) - [c2]Declan Delaney, Tomás Ward, Seamus C. McLoone:
Reducing Update Packets in Distributed Interactive Applications using a Hybrid Approach. PDCS 2003: 417-422 - [c1]Declan Delaney, Tomás Ward, Seamus C. McLoone:
On Reducing Entity State Update Packets in Distributed Interactive Simulations using a Hybrid Model. Applied Informatics 2003: 833-838
Coauthor Index
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