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2020 – today
- 2024
- [j52]Yaqi Wang, Zehua Yang, Xindi Liu, Zhi Li, Chengyu Wu, Yizhen Wang, Kai Jin, Dechao Chen, Gangyong Jia, Xiaodiao Chen, Juan Ye, Xingru Huang:
PGKD-Net: Prior-guided and Knowledge Diffusive Network for Choroid Segmentation. Artif. Intell. Medicine 150: 102837 (2024) - [j51]Yaqi Wang, Zihao Xv, Yizhen Wang, Kai Jin, Zhiyuan Gao, Yiran Ke, Chengyu Wu, Xiaodiao Chen, Dechao Chen, Juan Ye, Gangyong Jia:
BathNet: A network to classification of fundus and contrast images using label transfer and multi-branch transformer. Biomed. Signal Process. Control. 95: 106409 (2024) - [j50]Guiping Qian, Huaqiong Wang, Yaqi Wang, Xiaodiao Chen, Dingguo Yu, Shan Luo, Yiming Sun, Peifang Xu, Juan Ye:
Cascade spatial and channel-wise multifusion network with criss cross augmentation for corneal segmentation and reconstruction. Comput. Biol. Medicine 177: 108602 (2024) - [j49]Yaxiong Lei, Shijing He, Mohamed Khamis, Juan Ye:
An End-to-End Review of Gaze Estimation and its Interactive Applications on Handheld Mobile Devices. ACM Comput. Surv. 56(2): 34:1-34:38 (2024) - [j48]Renshu Gu, Yueyu Zhang, Lisha Wang, Dechao Chen, Yaqi Wang, Ruiquan Ge, Zicheng Jiao, Juan Ye, Gangyong Jia, Linyan Wang:
Mmy-net: a multimodal network exploiting image and patient metadata for simultaneous segmentation and diagnosis. Multim. Syst. 30(2): 72 (2024) - [j47]Yilong Li, Linyan Wang, Xingru Huang, Yaqi Wang, Le Dong, Ruiquan Ge, Huiyu Zhou, Juan Ye, Qianni Zhang:
Sketch-Supervised Histopathology Tumour Segmentation: Dual CNN-Transformer With Global Normalised CAM. IEEE J. Biomed. Health Informatics 28(1): 66-77 (2024) - [i12]Zhanyun Lu, Renshu Gu, Huimin Cheng, Siyu Pang, Mingyu Xu, Peifang Xu, Yaqi Wang, Yuichiro Kinoshita, Juan Ye, Gangyong Jia, Qing Wu:
Class-balanced Open-set Semi-supervised Object Detection for Medical Images. CoRR abs/2408.12355 (2024) - [i11]Zhaojie Fang, Xiao Yu, Guanyu Zhou, Ke Zhuang, Yifei Chen, Ruiquan Ge, Changmiao Wang, Gangyong Jia, Qing Wu, Juan Ye, Maimaiti Nuliqiman, Peifang Xu, Ahmed Elazab:
LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Dataset. CoRR abs/2409.00726 (2024) - 2023
- [j46]Ce Yang, Wenyu Wang, Chengyu Wu, Kai Jin, Yan Yan, Juan Ye, Shuai Wang:
Multi-Task Dual Boundary Aware Network for Retinal Layer Segmentation. IEEE Access 11: 125346-125358 (2023) - [j45]Xingru Huang, Zhi Li, Lixia Lou, Ruilong Dan, Lingxiao Chen, Guodong Zeng, Gangyong Jia, Xiaodiao Chen, Qun Jin, Juan Ye, Yaqi Wang:
GOMPS: Global Attention-based Ophthalmic Image Measurement and Postoperative Appearance Prediction System. Expert Syst. Appl. 232: 120812 (2023) - [j44]Yaxiong Lei, Yuheng Wang, Tyler Caslin, Alexander Wisowaty, Xu Zhu, Mohamed Khamis, Juan Ye:
DynamicRead: Exploring Robust Gaze Interaction Methods for Reading on Handheld Mobile Devices under Dynamic Conditions. Proc. ACM Hum. Comput. Interact. 7(ETRA): 1-17 (2023) - [j43]Zhangzhi Xue, Tiansheng Zhu, Fangfei Zhang, Cheng Zhang, Nan Xiang, Liujia Qian, Xiao Yi, Yaoting Sun, Wei Liu, Xue Cai, Linyan Wang, Xizhe Dai, Liang Yue, Lu Li, Thang Viet Pham, Sander R. Piersma, Qi Xiao, Meng Luo, Cong Lu, Jiang Zhu, Yongfu Zhao, Guangzhi Wang, Junhong Xiao, Tong Liu, Zhiyu Liu, Yi He, Qijun Wu, Tingting Gong, Jianqin Zhu, Zhiguo Zheng, Juan Ye, Yan Li, Connie R. Jimenez, Jun A, Tiannan Guo:
DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins. Patterns 4(7): 100792 (2023) - [j42]Martin Schiemer, Lei Fang, Simon Dobson, Juan Ye:
Online continual learning for human activity recognition. Pervasive Mob. Comput. 93: 101817 (2023) - [j41]Esma Mansouri-Benssassi, Juan Ye:
Investigating Multisensory Integration in Emotion Recognition Through Bio-Inspired Computational Models. IEEE Trans. Affect. Comput. 14(2): 906-918 (2023) - [j40]Ruilong Dan, Yunxiang Li, Yijie Wang, Xiaodiao Chen, Gangyong Jia, Shuai Wang, Ruiquan Ge, Guiping Qian, Qun Jin, Juan Ye, Yaqi Wang:
CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound. IEEE J. Biomed. Health Informatics 27(7): 3525-3536 (2023) - [c47]Yuchen He, Wenyu Wang, Zhiming Cheng, Wei Qi, Zhigang Duan, Kai Jin, Juan Ye, Shuai Wang:
Tribranchu-Net: A Size-Sensitive Network for Orbital Tumor Segmentation. ISBI 2023: 1-5 - [i10]Yaxiong Lei, Yuheng Wang, Tyler Caslin, Alexander Wisowaty, Xu Zhu, Mohamed Khamis, Juan Ye:
DynamicRead: Exploring Robust Gaze Interaction Methods for Reading on Handheld Mobile Devices under Dynamic Conditions. CoRR abs/2304.09584 (2023) - [i9]Yaxiong Lei, Shijing He, Mohamed Khamis, Juan Ye:
An End-to-End Review of Gaze Estimation and its Interactive Applications on Handheld Mobile Devices. CoRR abs/2307.00122 (2023) - [i8]Yuheng Wang, Juan Ye, David L. Borchers:
Towards Automated Animal Density Estimation with Acoustic Spatial Capture-Recapture. CoRR abs/2308.12859 (2023) - [i7]Martin Schiemer, Clemens JS Schaefer, Jayden Parker Vap, Mark James Horeni, Yu Emma Wang, Juan Ye, Siddharth Joshi:
Hadamard Domain Training with Integers for Class Incremental Quantized Learning. CoRR abs/2310.03675 (2023) - [i6]Ruiquan Ge, Xiangyang Hu, Rungen Huang, Gangyong Jia, Yaqi Wang, Renshu Gu, Changmiao Wang, Elazab Ahmed, Linyan Wang, Juan Ye, Ye Li:
TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction. CoRR abs/2311.07033 (2023) - 2022
- [j39]Jinhao Li, Shuai Wang, Shaodan Hu, Yiming Sun, Yaqi Wang, Peifang Xu, Juan Ye:
Class-Aware Attention Network for infectious keratitis diagnosis using corneal photographs. Comput. Biol. Medicine 151(Part): 106301 (2022) - [j38]Ying Xue, Jiazhu Zhu, Xiaoling Huang, Xiaobin Xu, Xiaojing Li, Yameng Zheng, Zhijing Zhu, Kai Jin, Juan Ye, Wei Gong, Ke Si:
A multi-feature deep learning system to enhance glaucoma severity diagnosis with high accuracy and fast speed. J. Biomed. Informatics 136: 104233 (2022) - [j37]Ai Jiang, Miguel A. Nacenta, Juan Ye:
VisuaLizations As Intermediate Representations (VLAIR): An approach for applying deep learning-based computer vision to non-image-based data. Vis. Informatics 6(3): 35-50 (2022) - [c46]Xiang Su, Ai Jiang, Jacky Cao, Wenxiao Zhang, Pan Hui, Juan Ye:
Enabling Continuous Object Recognition in Mobile Augmented Reality. IUI Companion 2022: 42-45 - [c45]Yilong Li, Yaqi Wang, Le Dong, Juan Ye, Linyan Wang, Ruiquan Ge, Huiyu Zhou, Qianni Zhang:
Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM. CMMCA@MICCAI 2022: 121-130 - [i5]Ruilong Dan, Yunxiang Li, Yijie Wang, Gangyong Jia, Ruiquan Ge, Juan Ye, Qun Jin, Yaqi Wang:
CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound. CoRR abs/2206.08524 (2022) - [i4]Chengfeng Zhou, Songchang Chen, Chenming Xu, Jun Wang, Feng Liu, Chun Zhang, Juan Ye, Hefeng Huang, Dahong Qian:
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images. CoRR abs/2207.03366 (2022) - 2021
- [j36]Andrea Rosales Sanabria, Franco Zambonelli, Juan Ye:
Unsupervised Domain Adaptation in Activity Recognition: A GAN-Based Approach. IEEE Access 9: 19421-19438 (2021) - [j35]Qi Dai, Xinyi Liu, Xiaolei Lin, Yana Fu, Chaoqiao Chen, Xinxin Yu, Zuhui Zhang, Tiankun Li, Mengting Liu, Weihua Yang, Juan Ye:
A Novel Meibomian Gland Morphology Analytic System Based on a Convolutional Neural Network. IEEE Access 9: 23083-23094 (2021) - [j34]Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye:
Continual learning in sensor-based human activity recognition: An empirical benchmark analysis. Inf. Sci. 575: 1-21 (2021) - [j33]Juan Ye:
Shared learning activity labels across heterogeneous datasets. J. Ambient Intell. Smart Environ. 13(2): 77-94 (2021) - [j32]Gabriele Civitarese, Juan Ye, Matteo Zampatti, Claudio Bettini:
Collaborative activity recognition with heterogeneous activity sets and privacy preferences. J. Ambient Intell. Smart Environ. 13(6): 433-452 (2021) - [j31]Andrea Rosales Sanabria, Franco Zambonelli, Simon Dobson, Juan Ye:
ContrasGAN: Unsupervised domain adaptation in Human Activity Recognition via adversarial and contrastive learning. Pervasive Mob. Comput. 78: 101477 (2021) - [j30]Esma Mansouri-Benssassi, Juan Ye:
Generalisation and robustness investigation for facial and speech emotion recognition using bio-inspired spiking neural networks. Soft Comput. 25(3): 1717-1730 (2021) - [j29]Juan Ye, Pakawat Nakwijit, Martin Schiemer, Saurav Jha, Franco Zambonelli:
Continual Activity Recognition with Generative Adversarial Networks. ACM Trans. Internet Things 2(2): 9:1-9:25 (2021) - [c44]Mario Alberto Moreno Rocha, Miguel A. Nacenta, Juan Ye:
An Exploratory Study on Academic Reading Contexts, Technology, and Strategies. MexIHC 2021: 3:1-3:10 - [c43]Yiming Bao, Jun Wang, Tong Li, Linyan Wang, Jianwei Xu, Juan Ye, Dahong Qian:
Self-adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images. OMIA@MICCAI 2021: 129-138 - [e1]Juan Ye, Michael J. O'Grady, Gabriele Civitarese, Kristina Y. Yordanova:
Wireless Mobile Communication and Healthcare - 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 362, Springer 2021, ISBN 978-3-030-70568-8 [contents] - [i3]Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye:
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis. CoRR abs/2104.09396 (2021) - [i2]Yiming Bao, Jun Wang, Tong Li, Linyan Wang, Jianwei Xu, Juan Ye, Dahong Qian:
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images. CoRR abs/2105.03068 (2021) - 2020
- [j28]Juan Ye, Elise Callus:
Evolving models for incrementally learning emerging activities. J. Ambient Intell. Smart Environ. 12(4): 313-325 (2020) - [j27]Andrea Rosales Sanabria, Juan Ye:
Unsupervised domain adaptation for activity recognition across heterogeneous datasets. Pervasive Mob. Comput. 64: 101147 (2020) - [j26]Juan Ye, Michael J. O'Grady, Oresti Banos:
Sensor Technology for Smart Homes. Sensors 20(24): 7046 (2020) - [j25]Juan Ye, Simon Dobson, Franco Zambonelli:
XLearn: Learning Activity Labels across Heterogeneous Datasets. ACM Trans. Intell. Syst. Technol. 11(2): 17:1-17:28 (2020) - [j24]Lei Fang, Juan Ye, Simon Dobson:
Discovery and Recognition of Emerging Human Activities Using a Hierarchical Mixture of Directional Statistical Models. IEEE Trans. Knowl. Data Eng. 32(7): 1304-1316 (2020) - [c42]Esma Mansouri-Benssassi, Juan Ye:
Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks. AAAI 2020: 1351-1358 - [c41]Lei Fang, Xiaoli Liu, Xiang Su, Juan Ye, Simon Dobson, Pan Hui, Sasu Tarkoma:
Bayesian Inference Federated Learning for Heart Rate Prediction. MobiHealth 2020: 116-130 - [c40]Ai Jiang, Miguel A. Nacenta, Kasim Terzic, Juan Ye:
Visualization as Intermediate Representations (VLAIR) for Human Activity Recognition. PervasiveHealth 2020: 201-210 - [i1]Saurav Jha, Martin Schiemer, Juan Ye:
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization. CoRR abs/2007.03032 (2020)
2010 – 2019
- 2019
- [j23]Andrea Rosales Sanabria, Thomas W. Kelsey, Simon Dobson, Juan Ye:
Representation learning for minority and subtle activities in a smart home environment. J. Ambient Intell. Smart Environ. 11(6): 495-513 (2019) - [j22]Juan Ye, Yuanyan Chen, Ming Wang, Yingbo Ni:
多通信半径与角度修正的凸规划改进定位算法 (Optimized Convex Localization Algorithm Using Multiple Communication Radius and Angle Correction). 计算机科学 46(6A): 317-320 (2019) - [j21]Juan Ye, Simon Dobson, Franco Zambonelli:
Lifelong Learning in Sensor-Based Human Activity Recognition. IEEE Pervasive Comput. 18(3): 49-58 (2019) - [c39]Lei Fang, Juan Ye, Simon Dobson:
Sensor-Based Human Activity Mining Using Dirichlet Process Mixtures of Directional Statistical Models. DSAA 2019: 154-163 - [c38]Esma Mansouri-Benssassi, Juan Ye:
Speech Emotion Recognition With Early Visual Cross-modal Enhancement Using Spiking Neural Networks. IJCNN 2019: 1-8 - [c37]Peter Haubrick, Juan Ye:
Robust Audio Sensing with Multi-Sound Classification. PerCom 2019: 1-7 - [c36]Andrea Rosales Sanabria, Thomas W. Kelsey, Juan Ye:
Representation Learning for Minority and Subtle Activities in a Smart Home Environment. PerCom 2019: 1-7 - [c35]Juan Ye:
Lifelong Learning in Sensor-Based Human Activity Recognition. PerCom Workshops 2019: 2 - [c34]Lei Fang, Juan Ye, Simon Dobson:
Distributed Self-Monitoring Sensor Networks Via Markov Switching Dynamic Linear Models. SASO 2019: 33-42 - 2018
- [j20]Xin Ye, Shaoze Wang, Yan Zhu, Huifeng Shao, Lixia Lou, Dahong Qian, Juan Ye:
Automatic Design and Fabrication of a Custom Ocular Prosthesis Using 3D Volume Difference Reconstruction (VDR). IEEE Access 6: 14339-14346 (2018) - [j19]Sue Fletcher-Watson, Hanne De Jaegher, Jelle van Dijk, Christopher Frauenberger, Maurice Magnée, Juan Ye:
Diversity computing. Interactions 25(5): 28-33 (2018) - [j18]Yingbo Ni, Yuanyan Chen, Juan Ye, Ming Wang:
基于多通信半径加余弦定理的DV-Hop算法的改进 (Improvement of DV-Hop Algorithm Based on Multiple Communication Radii and Cosine Theorem). 计算机科学 45(11A): 320-324 (2018) - [j17]Esma Mansouri-Benssassi, Juan-Carlos Gomez, LouAnne E. Boyd, Gillian R. Hayes, Juan Ye:
Wearable Assistive Technologies for Autism: Opportunities and Challenges. IEEE Pervasive Comput. 17(2): 11-21 (2018) - [j16]Mei Zhou, Kai Jin, Shaoze Wang, Juan Ye, Dahong Qian:
Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment. IEEE Trans. Biomed. Eng. 65(3): 521-527 (2018) - [c33]Juan Ye:
SLearn: Shared learning human activity labels across multiple datasets. PerCom 2018: 1-10 - [c32]Esma Mansouri-Benssassi, Juan Ye:
Bio-Inspired Spiking Neural Networks for Facial Expression Recognition: Generalisation Investigation. TPNC 2018: 426-437 - 2016
- [j15]Simon A. Dobson, Mirko Viroli, Jose Luis Fernandez-Marquez, Franco Zambonelli, Graeme Stevenson, Giovanna Di Marzo Serugendo, Sara Montagna, Danilo Pianini, Juan Ye, Gabriella Castelli, Alberto Rosi:
Spatial awareness in pervasive ecosystems. Knowl. Eng. Rev. 31(4): 343-366 (2016) - [j14]Juan Ye, Graeme Stevenson, Simon Dobson:
Detecting abnormal events on binary sensors in smart home environments. Pervasive Mob. Comput. 33: 32-49 (2016) - [j13]Shaoze Wang, Kai Jin, Haitong Lu, Chuming Cheng, Juan Ye, Dahong Qian:
Human Visual System-Based Fundus Image Quality Assessment of Portable Fundus Camera Photographs. IEEE Trans. Medical Imaging 35(4): 1046-1055 (2016) - [c31]Juan Ye, Lei Fang, Simon A. Dobson:
Discovery and recognition of unknown activities. UbiComp Adjunct 2016: 783-792 - [c30]Lauren Murray, Philip Hands, Ross Goucher, Juan Ye:
Capturing social cues with imaging glasses. UbiComp Adjunct 2016: 968-972 - [c29]Yuchen Zhao, Juan Ye, Tristan Henderson:
The Effect of Privacy Concerns on Privacy Recommenders. IUI 2016: 218-227 - [c28]Juan Ye:
New Challenges and Research Trend in Activity Recognition. MDM (Workshops) 2016: 60 - [c27]Yuchen Zhao, Juan Ye, Tristan Henderson:
A robust reputation-based location-privacy recommender system using opportunistic networks. MobiCASE 2016: 62-73 - [c26]Mattias Rost, John Rooksby, Alexandra Weilenmann, Thomas Hillman, Pål Dobrin, Juan Ye:
Mobile Wellbeing. NordiCHI 2016: 137 - 2015
- [j12]Franco Zambonelli, Andrea Omicini, Bernhard Anzengruber, Gabriella Castelli, Francesco L. De Angelis, Giovanna Di Marzo Serugendo, Simon A. Dobson, Jose Luis Fernandez-Marquez, Alois Ferscha, Marco Mamei, Stefano Mariani, Ambra Molesini, Sara Montagna, Jussi Nieminen, Danilo Pianini, Matteo Risoldi, Alberto Rosi, Graeme Stevenson, Mirko Viroli, Juan Ye:
Developing pervasive multi-agent systems with nature-inspired coordination. Pervasive Mob. Comput. 17: 236-252 (2015) - [j11]Juan Ye, Graeme Stevenson, Simon A. Dobson:
KCAR: A knowledge-driven approach for concurrent activity recognition. Pervasive Mob. Comput. 19: 47-70 (2015) - [j10]Juan Ye, Stamatia Dasiopoulou, Graeme Stevenson, Georgios Meditskos, Efstratios Kontopoulos, Ioannis Kompatsiaris, Simon Dobson:
Semantic web technologies in pervasive computing: A survey and research roadmap. Pervasive Mob. Comput. 23: 1-25 (2015) - [c25]Thomas Eddie, Juan Ye, Graeme Stevenson:
Are our mobile phones driving us apart? Divert attention from mobile phones back to physical conversation! MobileHCI Adjunct 2015: 1082-1087 - [c24]Juan Ye, Graeme Stevenson, Simon A. Dobson:
Fault detection for binary sensors in smart home environments. PerCom 2015: 20-28 - [c23]Juan Ye, Graeme Stevenson, Simon A. Dobson:
Using temporal correlation and time series to detect missing activity-driven sensor events. PerCom Workshops 2015: 44-49 - 2014
- [j9]Juan Ye, Graeme Stevenson, Simon A. Dobson:
USMART: An Unsupervised Semantic Mining Activity Recognition Technique. ACM Trans. Interact. Intell. Syst. 4(4): 16:1-16:27 (2014) - [c22]Yuchen Zhao, Juan Ye, Tristan Henderson:
Privacy-aware location privacy preference recommendations. MobiQuitous 2014: 120-129 - [c21]Jose Luis Fernandez-Marquez, Giovanna Di Marzo Serugendo, Graeme Stevenson, Juan Ye, Simon Dobson, Franco Zambonelli:
Self-managing and self-organising mobile computing applications: a separation of concerns approach. SAC 2014: 458-465 - 2013
- [j8]Juan Ye, Graeme Stevenson, Simon Dobson, Michael J. O'Grady, Gregory M. P. O'Hare:
Perceiving and interpreting smart home datasets with PI. J. Ambient Intell. Humaniz. Comput. 4(6): 717-729 (2013) - [c20]Juan Ye, Graeme Stevenson:
Semantics-Driven Multi-user Concurrent Activity Recognition. AmI 2013: 204-219 - [c19]Graeme Stevenson, Juan Ye, Simon Dobson, Danilo Pianini, Sara Montagna, Mirko Viroli:
Combining self-organisation, context-awareness and semantic reasoning: the case of resource discovery in opportunistic networks. SAC 2013: 1369-1376 - [c18]Graeme Stevenson, Juan Ye, Simon A. Dobson, Gabriella Castelli, Alberto Rosi, Franco Zambonelli:
A Bio-chemical Approach to Awareness in Pervasive Systems. SENSEMINE@SenSys 2013: 7:1-7:6 - 2012
- [j7]Juan Ye, Simon Dobson, Susan McKeever:
Situation identification techniques in pervasive computing: A review. Pervasive Mob. Comput. 8(1): 36-66 (2012) - [c17]Graeme Stevenson, Juan Ye, Simon Dobson, Mirko Viroli, Sara Montagna:
Self-Organising Semantic Resource Discovery for Pervasive Systems. SASO Workshops 2012: 181-186 - [c16]Jose Luis Fernandez-Marquez, Akla-Esso Tchao, Giovanna Di Marzo Serugendo, Graeme Stevenson, Juan Ye, Simon Dobson:
Analysis of New Gradient Based Aggregation Algorithms for Data-Propagation in Mobile Networks. SASO Workshops 2012: 217-222 - [c15]Graeme Stevenson, Jose Luis Fernandez-Marquez, Sara Montagna, Alberto Rosi, Juan Ye, Akla-Esso Tchao, Simon Dobson, Giovanna Di Marzo Serugendo, Mirko Viroli:
Towards Situated Awareness in Urban Networks: A Bio-Inspired Approach. SASO Workshops 2012: 223-228 - 2011
- [j6]Juan Ye, Graeme Stevenson, Simon A. Dobson:
A top-level ontology for smart environments. Pervasive Mob. Comput. 7(3): 359-378 (2011) - [c14]Alberto Rosi, Marco Mamei, Franco Zambonelli, Simon Dobson, Graeme Stevenson, Juan Ye:
Social sensors and pervasive services: Approaches and perspectives. PerCom Workshops 2011: 525-530 - [c13]Juan Ye, Graeme Stevenson, Simon Dobson, Michael J. O'Grady, Gregory M. P. O'Hare:
PI: Perceiver and interpreter of smart home datasets. PervasiveHealth 2011: 131-138 - [c12]Franco Zambonelli, Gabriella Castelli, Laura Ferrari, Marco Mamei, Alberto Rosi, Giovanna Di Marzo Serugendo, Matteo Risoldi, Akla-Esso Tchao, Simon Dobson, Graeme Stevenson, Juan Ye, Elena Nardini, Andrea Omicini, Sara Montagna, Mirko Viroli, Alois Ferscha, Sascha Maschek, Bernhard Wally:
Self-aware Pervasive Service Ecosystems. FET 2011: 197-199 - 2010
- [j5]Susan McKeever, Juan Ye, Lorcan Coyle, Chris J. Bleakley, Simon Dobson:
Activity recognition using temporal evidence theory. J. Ambient Intell. Smart Environ. 2(3): 253-269 (2010) - [j4]Juan Ye, Simon Dobson:
Exploring semantics in activity recognition using context lattices. J. Ambient Intell. Smart Environ. 2(4): 389-407 (2010) - [j3]Graeme Stevenson, Juan Ye, Simon Dobson, Paddy Nixon:
LOC8: A Location Model and Extensible Framework for Programming with Location. IEEE Pervasive Comput. 9(1): 28-37 (2010)
2000 – 2009
- 2009
- [c11]Juan Ye, Adrian K. Clear, Lorcan Coyle, Simon Dobson:
On Using Temporal Features to Create More Accurate Human-Activity Classifiers. AICS 2009: 273-282 - [c10]Susan McKeever, Juan Ye, Lorcan Coyle, Simon A. Dobson:
Using Dempster-Shafer Theory of Evidence for Situation Inference. EuroSSC 2009: 149-162 - [c9]Michael J. O'Grady, Juan Ye, Gregory M. P. O'Hare, Simon A. Dobson, Richard Tynan, Rem W. Collier, Conor Muldoon:
A Middleware for Implicit Interaction. Instinctive Computing Workshop 2009: 143-161 - [c8]Juan Ye, Lorcan Coyle, Simon Dobson, Paddy Nixon:
Using Situation Lattices in Sensor Analysis. PerCom 2009: 1-11 - [c7]Susan McKeever, Juan Ye, Lorcan Coyle, Simon Dobson:
A Context Quality Model to Support Transparent Reasoning with Uncertain Context. QuaCon 2009: 65-75 - [c6]