Table of Contents

• Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropoutLi Tong, Ryan Hoffman, Shriprasad R. Deshpande, May D. Wang. 1-4 [doi]
• Improving multi-class classification for endomicroscopic images by semi-supervised learningHang Wu, Li Tong, May D. Wang. 5-8 [doi]
• Polyps recognition using fuzzy treesChuquimia Orlando, Andréa Pinna, Xavier Dray, Bertrand Granado. 9-12 [doi]
• Image-based localization of the active wireless capsule endoscope inside the stomachM. Aghanouri, A. Ghaffari, N. Dadashi. 13-16 [doi]
• Computerized measurement of melanoma depth of invasion in skin biopsy imagesHongming Xu, Huiquan Wang, Richard Berendt, Naresh Jha, Mrinal K. Mandal. 17-20 [doi]
• Interactive visualization for brain spatio-temporal networksAndrea Purgato, Marco D. Santambrogio, Tanya Y. Berger-Wolf, Angus Graeme Forbes. 21-24 [doi]
• Segmentation of Eye Fundus Images by density clustering in diabetic retinopathyP. Furtado, C. Travassos, R. Monteiro, S. Oliveira, C. Baptista, F. Carrilho. 25-28 [doi]
• Development of computer vision algorithm towards assessment of suturing skillIrfan Kil, Anand Jagannathan, Ravikiran B. Singapogu, Richard E. Groff. 29-32 [doi]
• A fast and automatic approach for removing artefacts due to immobilisation masks in X-ray CTMohammad Hashem Ryalat, Stephen D. Laycock, Mark H. Fisher. 33-36 [doi]
• Indoor navigation with mobile augmented reality and beacon technology for wheelchair usersLuciene Chagas de Oliveira, Adriano O. Andrade, Eduardo Chagas de Oliveira, Alcimar Soares, Alexandre Cardoso, Edgard Lamounier. 37-40 [doi]
• Tumour ellipsification in ultrasound images for treatment prediction in breast cancerMehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu, Dun Huang, Hadi Tadayyon, Gregory J. Czarnota. 41-44 [doi]
• Alignment-free genome sequence comparison method based on pair transition difference of k-wordsGyu-Bum Han, Dong-Ho Cho. 45-48 [doi]
• Transductive local fisher discriminant analysis for gene expression profile-based cancer classificationDanping Li, Lei Wang, Jiajun Wang, Zhong Xue, Stephen T. C. Wong. 49-52 [doi]
• Integrating -omics information with biosimulations to assist diagnosis and treatment of diabetes mellitus in silicoClyde F. Phelix, Greg Villareal, Richard G. LeBaron, Dawnlee J. Roberson. 53-56 [doi]
• A deep learning model for predicting transcription factor binding location at single nucleotide resolutionSirajul Salekin, Jianqiu Michelle Zhang, Yufei Huang. 57-60 [doi]
• A multi-label learning method for efficient affective detectionYutong Wang, Tong Wang, Ping Gong, Ying Wu, Chenfei Ye, Jie Li, Ting Ma. 61-64 [doi]
• A pressure map dataset for posture and subject analyticsMaziyar Baran Pouyan, Javad Birjandtalab, Mehrdad Heydarzadeh, Mehrdad Nourani, Sarah Ostadabbas. 65-68 [doi]
• Design and evaluation of a non-contact wireless biopotential monitoring system with motion artifactsXian Li, Ye Sun. 69-72 [doi]
• A finite element model of knee electrical bioimpedance for facilitating edema quantificationMd. Mobashir Hasan Shandhi, Sinan Hersek, Omer T. Inan. 73-76 [doi]
• Community question retrieval in health forumsHamman W. Samuel, Mi-Young Kim, Sankalp Prabhakar, Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane. 77-80 [doi]
• Identification of parameters of the glucose-insulin homeostasis under everyday live conditionsChristian Tolks, Christoph Ament. 81-84 [doi]
• Bayesian optimisation of Gaussian processes for identifying the deteriorating patientGlen Wright Colopy, Marco A. F. Pimentel, Stephen J. Roberts, David A. Clifton. 85-88 [doi]
• An NLP-based cognitive system for disease status identification in electronic health recordsHoma Alemzadeh, Murthy Devarakonda. 89-92 [doi]
• Measuring the performance of an integrative patient similarity measure in the context of adverse drug eventsNirmal Keshava. 93-96 [doi]
• Applying the MVC EA-IRPM to reporting-guidelines in medicine: A strategy that is a web systemPatrick Letouze, J. I. M. de Souza, Valéria Martins Da Silva, Glaubos Climaco, F. B. Chagas, Joao Y. Ishihara. 97-100 [doi]
• Evaluations of deep convolutional neural networks for automatic identification of malaria infected cellsYuhang Dong, Zhuocheng Jiang, Hongda Shen, W. David Pan, Lance A. Williams, Vishnu V. B. Reddy, William H. Benjamin, Allen W. Bryan. 101-104 [doi]
• Detection of nuclei in H&E stained sections using convolutional neural networksMina Khoshdeli, Richard Cong, Bahram Parvin. 105-108 [doi]
• Estimating the internal elastic membrane cross-sectional area of coronary arteries autonomously using optical coherence tomography imagesMax L. Olender, Lambros S. Athanasiou, Jose M. de la Torre Hernandez, Tamara Garcia Camarero, Jose D. Cascon, Luciano Consuegra-Sanchez, Elazer R. Edelman. 109-112 [doi]
• Segmenting and Labeling blood vessels in choroidal Haller's layer: A multiple target tracking approachM. N. Ibrahim, S. Agarwal, Kiran Kumar Vupparaboina, Jay Chhablani, Ashutosh Richhariya, Soumya Jana. 113-116 [doi]
• A preliminary study for automatic accurate detection of adenomatous polyps in the small intestineT. Dassopoulos, Alexandros Karargyris, Sokratis Makrogiannis, Nikolaos G. Bourbakis. 117-120 [doi]
• Robust single cell quantification of immune cell subtypes in histological samplesAlberto Santamaria-Pang, Raghav K. Padmanabhan, Anup Sood, Michael J. Gerdes, Christopher Sevinsky, Qing Li, Nicole LaPlante, Fiona Ginty. 121-124 [doi]
• Wrist sensors - An application to acquire sensory data from Android Wear® smartwatches for connected healthVassilis Kilintzis, Christos Maramis, Nicos Maglaveras. 125-128 [doi]
• Data-driven assessments for sensor measurements of eating behaviorChristos Diou, Ioannis A. Sarafis, Ioannis Ioakimidis, Anastasios Delopoulos. 129-132 [doi]
• Development of an innovative mHealth platform for remote physical activity monitoring and health coaching of cardiac rehabilitation patientsSpyros Kitsiou, Manu Thomas, G. Elisabeta Marai, Nicos Maglaveras, George Kondos, Ross Arena, Ben Gerber. 133-136 [doi]
• Automatic identification of signal quality for heart beat detection in cardiac MEMS signalsMojtaba Jafari Tadi, Olli Lahdenoja, Tero Humanen, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto. 137-140 [doi]
• A deep learning approach to monitoring and detecting atrial fibrillation using wearable technologySupreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati. 141-144 [doi]
• Screening of sleep architecture using a disposable patch sensorNandakumar Selvaraj. 145-148 [doi]
• Combining electrohysterography and heart rate data to detect labourMarco Altini, Elisa Rossetti, Michiel Rooijakkers, Julien Penders, Dorien Lanssens, Lars Grieten, Wilfried Gyselaers. 149-152 [doi]
• A new technique for foot-off and foot contact detection in a gait cycle based on the knee joint angle using microsoft kinect v2Amin Amini, Konstantinos Banitsas, S. Hosseinzadeh. 153-156 [doi]
• Modeling clinically validated physical activity using commodity hardwareKyle N. Winfree, Gregory Dominick. 157-160 [doi]
• Adaptive walk detection algorithm using activity countsMatin Kheirkhahan, Zhiguo Chen, Duane B. Corbett, Amal A. Wanigatunga, Todd M. Manini, Sanjay Ranka. 161-164 [doi]
• Exploring the effect of food intake and physical activity on body weightTemiloluwa Prioleau, Yuqiang Heng, Ashok Veeraraghavan, Ashutosh Sabharwal. 165-168 [doi]
• Towards quantifying surgical suturing skill with force, motion and image sensor dataTanmay Kavathekar, Irfan Kil, Richard E. Groff, Timothy C. Burg, John F. Eidt, Ravikiran B. Singapogu. 169-172 [doi]
• Causes of death in the United States, 1999 to 2014Hanyu Jiang, Hang Wu, May Dongmei Wang. 177-180 [doi]
• Intelligent mortality reporting with FHIRRyan A. Hoffman, Hang Wu, Janani Venugopalan, Paula Braun, May D. Wang. 181-184 [doi]
• Proposing a modeling framework for minimizing security vulnerabilities in IoT systems in the healthcare domainPaul A. Wortman, Fatemeh Tehranipoor, Nima Karimian, John A. Chandy. 185-188 [doi]
• Heartbeat sensing and control of the 3D LED cubeRunyu Mao, Wenxin Tong, Chen Kan, Hui Yang. 189-192 [doi]
• Parkinson's disease medication state management using data fusion of wearable sensorsVignesh Ramji, Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani. 193-196 [doi]
• A smartphone-only solution for detecting indications of acute myocardial infarctionOlli Lahdenoja, Tero Koivisto, Mojtaba Jafari Tadi, Zuhair Iftikhar, Tero Hurnanen, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Mikko Pänkäälä. 197-200 [doi]
• Real-time personalized cardiac arrhythmia detection and diagnosis: A cloud computing architectureXuhui Chen, Jinlong Ji, Kenneth A. Loparo, Pan Li 0001. 201-204 [doi]
• Re-engineer operating room data acquisition and transmission for improving surgical suite awareness and managementG. Joerger, Juliette Rambourg, Marc Garbey, Stéphane Conversy, Hélène Gaspard-Boulinc. 205-208 [doi]
• A computational pipeline for deciphering the molecular mechanisms of oral cancer progressionKonstantina Kourou, Costas Papaloukas, Dimitrios I. Fotiadis. 209-212 [doi]
• Method for uterine contraction monitoring with passive RFID tagsShrenik A. Vora, Owen C. Montgomery, Timothy P. Kurzweg. 213-216 [doi]
• Power-efficient real-time approach to non-wear time detection for smartwatchesMatin Kheirkhahan, Hiranava Das, Manoj Battula, Anis Davoudi, Parisa Rashidi, Todd M. Manini, Sanjay Ranka. 217-220 [doi]
• Variable-length accelerometer features and electromyography to improve accuracy of fetal kicks detection during pregnancy using a single wearable deviceMarco Altini, Elisa Rossetti, Michiel Rooijakkers, Julien Penders, Dorien Lanssens, Lars Grieten, Wilfried Gyselaers. 221-224 [doi]
• Identifying factors influencing patient alone time at the emergency department using RFID data: What is next?Shivaram P. Arunachalam, Mustafa Y. Sir, Gomathi Marisamy, Annie Sadosty, David M. Nestler, Thomas R. Hellmich, Kalyan S. Pasupathy. 225-228 [doi]
• A tempo-spatial compressed sensing architecture for efficient high-throughput information acquisition in organs-on-a-chipChen Song, Aosen Wang, Feng Lin, Ruogang Zhao, Zhanpeng Jin, Wenyao Xu. 229-232 [doi]
• Proof-of-concept energy-efficient and real-time hemodynamic feature extraction from bioimpedance signals using a mixed-signal field programmable analog arrayHakan Toreyin, Sahil Shah, Sinan Hersek, Omer T. Inan, Jennifer Hasler. 233-236 [doi]
• Definition of a online to offline (O2O) system to support the individualized management and treatment strategies for overall asthma controlRuofei Hu, Giuseppe Fico, Cecilia Vera-Muñoz, Fen Lan, María Teresa Arredondo. 237-240 [doi]
• Visualization of patient specific disease risk predictionRichard Osuala, Ognjen Arandjelovic. 241-244 [doi]
• Automatic analysis of LENA recordings for language assessment in children aged five to fourteen years with application to individuals with autismRahul Pawar, Aaron Albin, Udit Gupta, Hrishikesh Rao, Caroline Carberry, Amarelle Hamo, Rebecca M. Jones, Catherine Lord, Mark A. Clements. 245-248 [doi]
• Relation between estimated cardiorespiratory fitness and running performance in free-living: An analysis of HRV4Training dataMarco Altini, Chris Van Hoof, Oliver Amft. 249-252 [doi]
• Variance analysis in Task-Time matrix clinical pathwaysHui Yan, Pieter Van Gorp, Uzay Kaymak, Lei Ji, Xudong Lu, Choo Chiap Chiau, Hendrikus H. M. Korsten, Huilong Duan. 253-256 [doi]
• Prospects for anticipating kidney damage in type-2 diabetes patients through the sensing of albumin passing through the renal glomerulusHuber Nieto-Chaupis. 257-260 [doi]
• Incorporating domain knowledge into clinical goal discovering for clinical pathway miningXiao Xu, Tao Jin, Zhijie Wei, Jianmin Wang 0001. 261-264 [doi]
• Addressing bias from non-random missing attributes in health dataNicholas J. Napoli, Madeline E. Kotoriy, William Barnhardt, Jeffrey S. Young, Laura E. Barnes. 265-268 [doi]
• Assessing bouts of activity using modeled clinically validated physical activity on commodity hardwareCaitlin Barrett, Gregory Dominick, Kyle N. Winfree. 269-272 [doi]
• A Hidden Markov Model based dynamic scheduling approach for mobile cloud telemonitoringXiaoliang Wang, Wenyao Xu, Zhanpeng Jin. 273-276 [doi]
• UMLS visualization for biomedical and health science classroom teaching and student learningRishi Kanth Saripalle. 277-280 [doi]
• Measurement of spontaneous body sway during quiet stand using UWB sensorV. Joshi, Frank Knoefel, Rafik A. Goubran, Mohamed El-Tanany. 281-284 [doi]
• Mining standardized neurological signs and symptoms data for concussion identificationJanani Venugopalan, Russell K. Gore, Tamara Espinoza, David W. Wright, Michelle C. LaPlaca, May D. Wang. 285-288 [doi]
• Continuous and unconstrained vital signs monitoring with ballistocardiogram sensors in headrest positionIbrahim Sadek, Jit Biswas, Bessam Abdulrazak, Haihong Zhang, Mounir Mokhtari. 289-292 [doi]
• Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learningRahul Krishnan Pathinarupothi, Vinaykumar R., Ekanath Rangan, E. Gopalakrishnan, K. P. Soman. 293-296 [doi]
• Effective and efficient visual stimuli design for quantitative autism screening: An exploratory studyTri Vu, Hoan Tran, Kun Woo Cho, Chen Song, Feng Lin, Chang Wen Chen, Michelle Hartley-McAndrew, Kathy Ralabate Doody, Wenyao Xu. 297-300 [doi]
• Wellness sensors and proprietary protocols, a solution for health monitoring?Nawras Georgi, Régine Le Bouquin-Jeannès. 301-304 [doi]
• Development and perceptual evaluation of pitch controllable electrolarynxLi Wang, Yijun Feng, Ze Yang, Haijun Niu. 305-308 [doi]
• Spatial and spectral features fusion for EEG classification during motor imagery in BCIChuanqi Tan, Fuchun Sun, Wenchang Zhang, Shaobo Liu, Chunfang Liu. 309-312 [doi]
• The AKRON-Kalman filter for tracking time-varying networksVictor Carluccio, Nidhal Bouaynaya, Gregory Ditzler, Hassan M. Fathallah-Shaykh. 313-316 [doi]
• A cost sensitive approach to predicting 30-day hospital readmission in COPD patientsChristopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu. 317-320 [doi]
• Co-occurring evidence discovery for COPD patients using natural language processingChristopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu. 321-324 [doi]
• Changes in synergy of transtibial amputee during gait: A pilot studyPouyan Mehryar, M. S. Shourijeh, T. Rezaeian, Nadeem Iqbal, N. Messenger, Abbas A. Dehghani-Sanij. 325-328 [doi]
• Relationship between kernel density function estimates of gait time series and clinical dataAsma Qureshi, Maïté Brandt-Pearce, Matthew M. Engelhard, Myla D. Goldman. 329-332 [doi]
• Gaits analysis using pressure image for subject identificationMehrdad Heydarzadeh, Javad Birjandtalab, Maziyar Baran Pouyan, Mehrdad Nourani, Sarah Ostadabbas. 333-336 [doi]
• Heuristic based gait event detection for human lower limb movementM. Zakria, Hafiz Farhan Maqbool, T. Hussain, Mohammed I. Awad, Pouyan Mehryar, Nadeem Iqbal, Abbas A. Dehghani-Sanij. 337-340 [doi]
• Application of multiscale entropy on EEG signals for emotion detectionKostas Michalopoulos, Nikolaos G. Bourbakis. 341-344 [doi]
• Classification of ADHD and Non-ADHD using theta/beta power ratio featuresJuan L. Lopez Marcano, Martha Ann Bell, A. A. Louis Beex. 345-348 [doi]
• Analyzing the usage of standards in radiation therapy clinical studiesY. Zhen, Y. Jiang, L. Yuan, J. Kirkpartrick, J. Wu, Y. Ge. 349-352 [doi]
• Applying machine learning methods to predict hand hygiene compliance characteristicsPeng Zhang, Jules White, Douglas C. Schmidt, Tom Dennis. 353-356 [doi]
• Glycaemic index prediction: A pilot study of data linkage challenges and the application of machine learningJingyuan Li, Ognjen Arandjelovic. 357-360 [doi]
• Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trendsShruthi Gopalswamy, Patrick J. Tighe, Parisa Rashidi. 361-364 [doi]
• Deep learning analytics for diagnostic support of breast cancer disease managementTiancheng He, Mamta Puppala, Richard Ogunti, James J. Mancuso, Xiaohui Yu, Shenyi Chen, Jenny C. Chang, Tejal A. Patel, Stephen T. C. Wong. 365-368 [doi]
• Automated histologic grading from free-text pathology reports using graph-of-words features and machine learningHong-Jun Yoon, Larry Roberts, Georgia D. Tourassi. 369-372 [doi]
• Low quality dermal image classification using transfer learningMohamed S. Elmahdy, Sara S. Abdeldayem, Inas A. Yassine. 373-376 [doi]
• Cerebral blood flow velocity pulse onset detection using adaptive thresholdingShadnaz Asgari, Natalie K. Arevalo, Robert Hamilton, Dan Hanchey, Fabien Scalzo. 377-380 [doi]
• Squizofrenia: Classification and correlation from MRIAna Filipa Rodrigues, Mariana Barros, Pedro Furtado. 381-384 [doi]
• Trajectory based predictive modeling of conversion from mild cognitive impairment to Alzheimer's diseaseSidra Minhas, Aasia Khanum, Farhan Riaz, S. A. Khan, A. Alvi. 385-388 [doi]
• Resting EEG functional connectivity and graph theoretical measures for discrimination of depressionL. Orgo, Maie Bachmann, K. Kalev, M. Jarvelaid, J. Raik, Hiie Hinrikus. 389-392 [doi]
• Scalable mental health analysis in the clinical whitespace via natural language processingGlen A. Coppersmith, Casey Hilland, Ophir Frieder, Ryan Leary. 393-396 [doi]
• A candidate neuromechanical biomarker and dosimeter for monitoring cumulative head impact traumaJohn D. Ralston, Jonathan Woodard, Matthew Cieslak, Alex Asturias, Wendy Meiring, Scott T. Grafton. 397-400 [doi]
• Phenotyping hypotensive patients in critical care using hospital discharge summariesYang Dai, Sharukh Lokhandwala, William Long, Roger G. Mark, Li-Wei H. Lehman. 401-404 [doi]
• An embedded Gabor-based palm vein recognition systemP. Cancian, G. W. Di Donato, Vincenzo Rana, Marco D. Santambrogio. 405-408 [doi]
• Integrating Markov model and morphology analysis for finer classification of ventricular arrhythmia in real timePurva R. Gawde, Arvind K. Bansal, Jeffrey A. Nielson. 409-412 [doi]
• Towards unsupervised coherence-based assessment of ECG quality in different posture and movement conditionsRishabh Gupta, Abdul Q. Javaid, S. Ali Etemad. 413-416 [doi]
• Predicting episodes of atrial fibrillation using RR-intervals and ectopic beatsDilranjan S. Wickramasuriya, Calvin A. Perumalla, Richard D. Gitlin. 417-420 [doi]
• Estimation of New York Heart Association class in heart failure patients based on machine learning techniquesEvanthia E. Tripoliti, Theofilos G. Papadopoulos, Georgia S. Karanasiou, Fanis G. Kalatzis, Aris Bechlioulis, Yorgos Goletsis, Katerina K. Naka, Dimitrios I. Fotiadis. 421-424 [doi]
• Time-series data analysis of home blood flow velocity measurements from radial artery in relation to lifestyle factorsHiroshi Takeuchi, Naoki Kodama. 425-428 [doi]
• Non-fiducial PPG-based authentication for healthcare applicationNima Karimian, Mark Tehranipoor, Domenic Forte. 429-432 [doi]
• Precise calibration for the coordinates of surgical needle's tip based on transform invariant matrix and spherical constraintsJing Jin, Liwei Zhang, Hong Zhi Wang, Stephen T. C. Wong, Hai Li 0006. 433-436 [doi]
• Fractal features for automatic detection of dysarthriaTaylor Spangler, N. V. Vinodchandran, Ashok Samal, Jordan R. Green. 437-440 [doi]
• A high accuracy and low latency patient-specific wearable fall detection systemWala Saadeh, Muhammad Awais Bin Altaf, Muhammad Shoaib Bin Altaf. 441-444 [doi]
• Mining motor symptoms UPDRS data of Parkinson's disease patients for the development of Hoehn and Yahr estimation decision support systemKostas M. Tsiouris, Georgios Rigas, Angelo Antonini, Dimitris Gatsios, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis. 445-448 [doi]
• Estimating patient's health state using latent structure inferred from clinical time series and textAaron Zalewski, William J. Long, Alistair E. W. Johnson, Roger G. Mark, Li-Wei H. Lehman. 449-452 [doi]
• Balance-based time-frequency features for discrimination of young and elderly subjects using unsupervised methodsAbdul Qadir Javaid, Rishabh Gupta, Alex Mihalidis, S. Ali Etemad. 453-456 [doi]
• Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysisJiang Bian, Laura E. Barnes, Guanling Chen, Haoyi Xiong. 457-460 [doi]
• Computer aided detection of anemia-like pallorSohini Roychowdhury, Donny Sun, Matthew Bihis, Johnny Ren, Paul Hage, Humairat H. Rahman. 461-464 [doi]
• Multimodal ambulatory sleep detectionWeixuan Chen, Akane Sano, Daniel Lopez Martinez, Sara Taylor, Andrew W. McHill, Andrew J. K. Phillips, Laura Barger, Elizabeth B. Klerman, Rosalind W. Picard. 465-468 [doi]
• Spectral model based intent detection for multichannel SEMG signalsReena Patil, Ke Kang, Yusuf Öztürk. 469-472 [doi]
• Context aware adaptable approach for fall detection bases on smart textileNeila Mezghani, Youssef Ouakrim, Md. R. Islam, Rami Yared, Bessam Abdulrazak. 473-476 [doi]
• A presentation semantic for the Operational Data Model (ODM)Thomas M. Deserno, Daniel Haak, Markus Harmsen, Sandra Geisler, Matthias Jarke. 477-480 [doi]
• Automated identification of pediatric appendicitis score in emergency department notes using natural language processingBrittany Norman, Tod Davis, Shannon Quinn, Robert Massey, Daniel Hirsh. 481-484 [doi]
• On quantifying diffusion of health information on TwitterGokhan Bakal, Ramakanth Kavuluru. 485-488 [doi]
• Resolving ambiguities in accelerometer data due to location of sensor on wrist in application to detection of smoking gestureCasey A. Cole, James F. Thrasher, Scott M. Strayer, Homayoun Valafar. 489-492 [doi]
• Using closure tables to enable cross-querying of ontologies in database-driven applicationsDaniel R. Harris, Darren W. Henderson, Jeffery C. Talbert. 493-496 [doi]