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Adaptive stair-ascending and stair-descending strategies for powered lower limb exoskeleton | The ReWalk Powered Exoskeleton to Restore Ambulatory Function to Individuals with Thoracic-Level Motor-Complete Spinal Cord Injury |
Adaptive stair-ascending and stair-descending strategies for powered lower limb exoskeleton | Biped walking pattern generation by using preview control of zero-moment point |
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction | Neural Random-Access Machines |
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction | Neural Turing Machines |
Robust heart rate from fitness videos | Remote plethysmographic imaging using ambient light. |
Robust heart rate from fitness videos | 3D Mask Face Anti-spoofing with Remote Photoplethysmography |
Robust heart rate from fitness videos | Exploiting Spatial Redundancy of Image Sensor for Motion Robust rPPG |
Robust heart rate from fitness videos | DistancePPG: Robust non-contact vital signs monitoring using a camera |
Positive Organizational Behavior in the Workplace The Impact of Hope, Optimism, and Resilience | Common method biases in behavioral research: A critical review of the literature and recommended remedies. |
Positive Organizational Behavior in the Workplace The Impact of Hope, Optimism, and Resilience | The Moderating Role of Employee Positive Well Being on the Relation Between Job Satisfaction and Job Performance |
Positive Organizational Behavior in the Workplace The Impact of Hope, Optimism, and Resilience | Role of hope in academic and sport achievement. |
Survey of Machine Learning Algorithms for Disease Diagnostic | Classification Of Diabetes Disease Using Support Vector Machine |
Survey of Machine Learning Algorithms for Disease Diagnostic | Machine learning for medical diagnosis: history, state of the art and perspective |
Survey of Machine Learning Algorithms for Disease Diagnostic | Advantage and drawback of support vector machine functionality |
Adaptive feedforward control for disturbance torque rejection in seeker stabilizing loop | Multi-layer feedforward networks are uni-versal approximators |
Adaptive feedforward control for disturbance torque rejection in seeker stabilizing loop | Identification and control of dynamical systems using neural networks |
A graph-based MAP solution for multi-person tracking using multi-camera systems | Cascade object detection with deformable part models |
A graph-based MAP solution for multi-person tracking using multi-camera systems | Multiple Object Tracking Using K-Shortest Paths Optimization |
A graph-based MAP solution for multi-person tracking using multi-camera systems | Coupling detection and data association for multiple object tracking |
IoT Security and Privacy Issues | Twenty Security Considerations for Cloud-Supported Internet of Things |
IoT Security and Privacy Issues | Multimedia traffic security architecture for the internet of things |
Robust C-Loss Kernel Classifiers | Statistical behavior and consistency of classification methods based on convex risk minimization |
Robust C-Loss Kernel Classifiers | analysis of half - quadratic minimization methods for signal and image recovery . |
Robust C-Loss Kernel Classifiers | Correntropy: Properties and Applications in Non-Gaussian Signal Processing |
Beyond AMT: An Analysis of Crowd Work Platforms | Real-time captioning by groups of non-experts |
Beyond AMT: An Analysis of Crowd Work Platforms | Human computation: a survey and taxonomy of a growing field |
A racing algorithm for configuring metaheuristics | Ant Algorithms for Discrete Optimization |
A racing algorithm for configuring metaheuristics | ant system . |
A racing algorithm for configuring metaheuristics | The ant colony optimization metaheuristic: Algorithms, applications, and advances |
Variational free energy and the Laplace approximation | Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks |
Variational free energy and the Laplace approximation | dynamic causal modelling . |
The Password Reset MitM Attack | From Very Weak to Very Strong: Analyzing Password-Strength Meters |
The Password Reset MitM Attack | Towards Automating Social Engineering Using Social Networking Sites |
The Password Reset MitM Attack | password memorability and security : empirical results . |
DoS Detection Method based on Artificial Neural Networks | A review of feature selection methods on synthetic data |
DoS Detection Method based on Artificial Neural Networks | A detailed analysis of the KDD CUP 99 data set |
DoS Detection Method based on Artificial Neural Networks | Understanding the difficulty of training deep feedforward neural networks |
DoS Detection Method based on Artificial Neural Networks | A taxonomy of DDoS attack and DDoS defense mechanisms |
DoS Detection Method based on Artificial Neural Networks | Detection of known and unknown DDoS attacks using Artificial Neural Networks |
Deep Clustering with Convolutional Autoencoders | Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders |
Deep Clustering with Convolutional Autoencoders | Adam: A Method for Stochastic Optimization |
Deep Clustering with Convolutional Autoencoders | Joint Unsupervised Learning of Deep Representations and Image Clusters |
Deep Clustering with Convolutional Autoencoders | Improved Deep Embedded Clustering with Local Structure Preservation |
Deviation-based and similarity-based contextual SLIM recommendation algorithms | Matrix Factorization Techniques for Recommender Systems |
Deviation-based and similarity-based contextual SLIM recommendation algorithms | Matrix factorization techniques for context aware recommendation |
Deviation-based and similarity-based contextual SLIM recommendation algorithms | SLIM: Sparse Linear Methods for Top-N Recommender Systems |
Performance evaluation of correlative interferometry for angle of arrival estimation | GSM mobile phone localization using time difference of arrival and angle of arrival estimation |
Analysis of universal adversarial perturbations | On the Number of Linear Regions of Deep Neural Networks |
Analysis of universal adversarial perturbations | Network In Network |
Analysis of universal adversarial perturbations | Robustness of classifiers: from adversarial to random noise |
Analysis of universal adversarial perturbations | Analysis of classifiers’ robustness to adversarial perturbations |
Analysis of universal adversarial perturbations | an elementary proof of a theorem of johnson and lindenstrauss . |
Using SWRL rules for requirements engineering: Application to ERTMS/SRS specifications | Ontology Development 101: A Guide to Creating Your First Ontology |
Using SWRL rules for requirements engineering: Application to ERTMS/SRS specifications | Development of an Ontology to Assist the Modeling of Accident Scenarii"Application on Railroad Transport" |
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games | Bayes' Bluff: Opponent Modelling in Poker |
Understanding the impact of lossy compressions on IoT smart farm analytics | Compression in wireless sensor networks: A survey and comparative evaluation |
Understanding the impact of lossy compressions on IoT smart farm analytics | Lossy compression on IoT big data by exploiting spatiotemporal correlation |
Understanding the impact of lossy compressions on IoT smart farm analytics | Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications |
Cue-Based Dialogue Act Classification | Speech and language processing: an introduction to natural language processing |
Cue-Based Dialogue Act Classification | Context and Dialogue Control |
Cue-Based Dialogue Act Classification | A COEFFICIENT OF AGREEMENT FOR NOMINAL SCALES 1 |
Heterogeneous Information Network Embedding for Recommendation | LCARS: a location-content-aware recommender system |
Heterogeneous Information Network Embedding for Recommendation | PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks |
Heterogeneous Information Network Embedding for Recommendation | Integrating heterogeneous information via flexible regularization framework for recommendation |
Heterogeneous Information Network Embedding for Recommendation | node2vec: Scalable Feature Learning for Networks |
Heterogeneous Information Network Embedding for Recommendation | PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks |
Digit Recognition via Unsupervised Learning | LIBSVM: A library for support vector machines |
Digit Recognition via Unsupervised Learning | Unsupervised learning of digit recognition using spike-timing-dependent plasticity |
Digit Recognition via Unsupervised Learning | A simple and fast algorithm for K-medoids clustering |
Image classification with recurrent attention models | Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift |
Image classification with recurrent attention models | Imagenet classification with deep convolutional neural networks |
Image classification with recurrent attention models | DRAW: A Recurrent Neural Network For Image Generation |
approximate data collection in sensor networks using probabilistic models . | TAG: a Tiny AGgregation service for ad-hoc sensor networks |
untangling invariant object recognition . | Object Perception as Bayesian Inference |
untangling invariant object recognition . | Distributed hierarchical processing in the primate cerebral cortex |
Real-Time Wavelet Analysis of a Vibration Signal Based on Arduino-UNO and LabVIEW | XBee wireless sensor networks for Heart Rate Monitoring in sport training |
Real-Time Wavelet Analysis of a Vibration Signal Based on Arduino-UNO and LabVIEW | Estimation of ECG features using LabVIEW |
Low RCS microstrip antenna with uniplanar compact electromagnetic bandgap substrate | High-impedance electromagnetic surfaces with a forbidden frequency band |
Low RCS microstrip antenna with uniplanar compact electromagnetic bandgap substrate | A Uniplanar Compact Photonic-Bandgap (UC-PBG) Structure and Its Applications for Microwave Circuits |
Image segmentation with a bounding box prior | Interactive Image Segmentation Using an Adaptive GMMRF Model |
Image segmentation with a bounding box prior | Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images |
Decoupled Weight Decay Regularization | The Marginal Value of Adaptive Gradient Methods in Machine Learning |
Decoupled Weight Decay Regularization | Cyclical Learning Rates for Training Neural Networks |
Decoupled Weight Decay Regularization | a downsampled variant of imagenet as an alternative to the cifar datasets . |
Decoupled Weight Decay Regularization | Learning multiple layers of features from tiny images |
Tri-Dexel Volumetric Modeling for Haptic Sculpting and Virtual Prototyping of Complex Surfaces | Feature sensitive surface extraction from volume data |
MPI Streams for HPC Applications | Spark: Cluster computing with working sets |
MPI Streams for HPC Applications | MapReduce: simplified data processing on large clusters |
A Novel Approach for Youtube Video Spam Detection using Markov Decision Process | Detecting video spammers in YouTube social media |
A Novel Approach for Youtube Video Spam Detection using Markov Decision Process | Cyber Security Resource Allocation: A Markov Decision Process Approach |
A Novel Approach for Youtube Video Spam Detection using Markov Decision Process | Reinforcement Learning: An Introduction |
Developmental Test of Visual-Motor Integration (VMI): An Effective Outcome Measure for Handwriting Interventions for Kindergarten, First-Grade, and Second-Grade Students? | Factors That Relate to Good and Poor Handwriting |
Developmental Test of Visual-Motor Integration (VMI): An Effective Outcome Measure for Handwriting Interventions for Kindergarten, First-Grade, and Second-Grade Students? | Relationship between Visual-Motor Integration and handwriting skills of children in Kindergarten: A Modified replication study |
Developmental Test of Visual-Motor Integration (VMI): An Effective Outcome Measure for Handwriting Interventions for Kindergarten, First-Grade, and Second-Grade Students? | Effectiveness of the Size Matters Handwriting Program |
Developmental Test of Visual-Motor Integration (VMI): An Effective Outcome Measure for Handwriting Interventions for Kindergarten, First-Grade, and Second-Grade Students? | Handwriting Difficulties in Primary School Children: A Search for Underlying Mechanisms |
A single feed dual-band, linearly/circularly polarized cross-slot millimeter-wave antenna for future 5G networks | Four-element dual-band printed slot antenna array for the future 5G mobile communication networks |
A single feed dual-band, linearly/circularly polarized cross-slot millimeter-wave antenna for future 5G networks | Next Generation 5G Wireless Networks: A Comprehensive Survey |
A single feed dual-band, linearly/circularly polarized cross-slot millimeter-wave antenna for future 5G networks | Dual-band printed slot antenna for the 5G wireless communication network |
The GUM corpus: creating multilayer resources in the classroom | A Gold Standard Dependency Corpus for English |
The GUM corpus: creating multilayer resources in the classroom | Unsupervised Learning of Narrative Schemas and their Participants |