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Multi-View Data Generation Without View Supervision | Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks |
An End-to-End Workflow for Engineering of Biological Networks from High-Level Specifications | Synthetic biology: new engineering rules for an emerging discipline |
An End-to-End Workflow for Engineering of Biological Networks from High-Level Specifications | Robust multicellular computing using genetically encoded NOR gates and chemical ‘wires’ |
An End-to-End Workflow for Engineering of Biological Networks from High-Level Specifications | Production of the antimalarial drug precursor artemisinic acid in engineered yeast |
An End-to-End Workflow for Engineering of Biological Networks from High-Level Specifications | A universal RNAi-based logic evaluator that operates in mammalian cells |
Generating event logs for high-level process models | Discovering Simulation Models |
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation | Integrating word embeddings and traditional NLP features to measure textual entailment and semantic relatedness of sentence pairs |
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation | Visualizing Data using t-SNE |
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation | DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector Composition |
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation | A Neural Probabilistic Language Model |
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation | The Stanford CoreNLP Natural Language Processing Toolkit |
Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels | Fully Convolutional Multi-Class Multiple Instance Learning |
Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels | Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs |
Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels | From image-level to pixel-level labeling with Convolutional Networks |
Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels | DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection |
NIFTY: a system for large scale information flow tracking and clustering | Mining of Massive Datasets |
NIFTY: a system for large scale information flow tracking and clustering | Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval |
Towards expert finding by leveraging relevant categories in authority ranking | Expertise networks in online communities: structure and algorithms |
Towards expert finding by leveraging relevant categories in authority ranking | Predicting information seeker satisfaction in community question answering |
Multi-Hop Knowledge Graph Reasoning with Reward Shaping | Translating Embeddings for Modeling Multi-relational Data |
Multi-Hop Knowledge Graph Reasoning with Reward Shaping | Reasoning With Neural Tensor Networks for Knowledge Base Completion |
Multi-Hop Knowledge Graph Reasoning with Reward Shaping | A Deep Reinforced Model for Abstractive Summarization |
Multi-Hop Knowledge Graph Reasoning with Reward Shaping | Random Walk Inference and Learning in A Large Scale Knowledge Base |
Multi-Hop Knowledge Graph Reasoning with Reward Shaping | Semantic Parsing on Freebase from Question-Answer Pairs |
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition | Deep visual-semantic alignments for generating image descriptions |
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition | Situation Recognition: Visual Semantic Role Labeling for Image Understanding |
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition | Natural Language Processing with Python |
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition | Scene Graph Generation by Iterative Message Passing |
A Deep-Learning Approach for the Detection of Overexposure in Automotive Camera Images | Weather classification with deep convolutional neural networks |
A Deep-Learning Approach for the Detection of Overexposure in Automotive Camera Images | Automated vehicle system architecture with performance assessment |
A Deep-Learning Approach for the Detection of Overexposure in Automotive Camera Images | ImageNet Large Scale Visual Recognition Challenge |
A Deep-Learning Approach for the Detection of Overexposure in Automotive Camera Images | Vision meets robotics: The KITTI dataset |
CATENA: CAusal and TEmporal relation extraction from NAtural language texts | Minimally Supervised Event Causality Identification |
CATENA: CAusal and TEmporal relation extraction from NAtural language texts | Toward a Better Understanding of Causality between Verbal Events: Extraction and Analysis of the Causal Power of Verb-Verb Associations |
CATENA: CAusal and TEmporal relation extraction from NAtural language texts | UTTime: Temporal Relation Classification using Deep Syntactic Features |
Forensic readiness of smart buildings: Preconditions for subsequent cybersecurity tests | A Ten Step Process for Forensic Readiness |
Smartphone usage contexts and sensable patterns as predictors of future sedentary behaviors | Characterizing Smartphone Usage Patterns from Millions of Android Users |
Smartphone usage contexts and sensable patterns as predictors of future sedentary behaviors | Adults' sedentary behavior determinants and interventions. |
Smartphone usage contexts and sensable patterns as predictors of future sedentary behaviors | StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones |
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks | The Pascal Visual Object Classes (VOC) Challenge |
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks | Improved Regularization of Convolutional Neural Networks with Cutout |
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks | Adaptive dropout for training deep neural networks |
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks | Deep Networks with Stochastic Depth |
Design Challenges and Misconceptions in Neural Sequence Labeling | Bidirectional LSTM-CRF Models for Sequence Tagging |
Design Challenges and Misconceptions in Neural Sequence Labeling | Empower Sequence Labeling with Task-Aware Neural Language Model |
Design Challenges and Misconceptions in Neural Sequence Labeling | Neural Models for Sequence Chunking |
Design Challenges and Misconceptions in Neural Sequence Labeling | Feature-Rich Part-Of-Speech Tagging With A Cyclic Dependency Network |
Design Challenges and Misconceptions in Neural Sequence Labeling | Building A Large Annotated Corpus Of English: The Penn Treebank |
on cloud security attacks : a taxonomy and intrusion detection and prevention as a service . | Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey |
on cloud security attacks : a taxonomy and intrusion detection and prevention as a service . | A Cloud-based Intrusion Detection Service framework |
on cloud security attacks : a taxonomy and intrusion detection and prevention as a service . | HyperSafe: A Lightweight Approach to Provide Lifetime Hypervisor Control-Flow Integrity |
Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming | Pictorial structures revisited: People detection and articulated pose estimation |
Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming | End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation |
Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming | DeepPose: Human Pose Estimation via Deep Neural Networks |
Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming | DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation |
Semantic Modelling of Smart City Data | The SSN Ontology of the W3C Semantic Sensor Network Incubator Group |
Drone Path Planning for Secure Positioning and Secure Position Verification | A key management scheme for wireless sensor networks using deployment knowledge |
Drone Path Planning for Secure Positioning and Secure Position Verification | Static Path Planning for Mobile Beacons to Localize Sensor Networks |
Drone Path Planning for Secure Positioning and Secure Position Verification | Localization of wireless sensor networks with a mobile beacon |
Dynamics of Retrieval Strategies for Remote Memories | Neural substrates of awakening probed with optogenetic control of hypocretin neurons |
Dynamics of Retrieval Strategies for Remote Memories | sites of neocortical reorganization critical for remote spatial memory . |
Dynamics of Retrieval Strategies for Remote Memories | Place cells, grid cells, and the brain's spatial representation system. |
Fast Nonparametric Clustering of Structured Time-Series | Gaussian Processes for Machine Learning |
Fast Nonparametric Clustering of Structured Time-Series | A Split-Merge Markov Chain Monte Carlo Procedure for the Dirichlet Process Mixture Model |
An improved LSB image steganography technique using bit-inverse in 24 bit colour image | A Steganography Technique for Hiding Image in an Image using LSB Method for 24 Bit Color Image |
An improved LSB image steganography technique using bit-inverse in 24 bit colour image | hiding data in images by simple lsb substitution . |
Language learning for visual and auditory learners using scratch toolkit | Programming by choice: urban youth learning programming with scratch |
Language learning for visual and auditory learners using scratch toolkit | Grammar Teaching Tools for Tamil language |
A Software Approach to Defeating Side Channels in Last-Level Caches | Resource management for isolation enhanced cloud services |
A Software Approach to Defeating Side Channels in Last-Level Caches | Efficient Cache Attacks on AES, and Countermeasures |
Beyond Question Answering: Understanding the Information Need of the User | The Berkeley FrameNet Project |
Beyond Question Answering: Understanding the Information Need of the User | okapi at trec - 3 . |
Beyond Question Answering: Understanding the Information Need of the User | Understanding user intent in community question answering |
Beyond Question Answering: Understanding the Information Need of the User | Introduction to Modern Information Retrieval |
Service Based Brand Equity, Measure of Purchase Intention, Mediating Role of Brand Performance | Consumer evaluations of brand extensions : an integration of previous research |
Service Based Brand Equity, Measure of Purchase Intention, Mediating Role of Brand Performance | A Conceptual Model of Service Quality and Its Implications for Future Research |
Service Based Brand Equity, Measure of Purchase Intention, Mediating Role of Brand Performance | the moderator - mediator variable distinction in social psychological research : conceptual , strategic , and statistical considerations . |
Service Based Brand Equity, Measure of Purchase Intention, Mediating Role of Brand Performance | customer loyalty : toward an integrated conceptual framework . |
Do hormones influence women's sex? Sexual activity over the menstrual cycle. | the female sexual function index ( fsfi ) : cross - validation and development of clinical cutoff scores . |
Bayesian Inverse Reinforcement Learning | Robot learning from demonstration |
Cross-Sentence N-ary Relation Extraction with Graph LSTMs | Exploring Various Knowledge In Relation Extraction |
Cross-Sentence N-ary Relation Extraction with Graph LSTMs | Speech recognition with deep recurrent neural networks |
Cross-Sentence N-ary Relation Extraction with Graph LSTMs | Gated Graph Sequence Neural Networks |
Cross-Sentence N-ary Relation Extraction with Graph LSTMs | Bidirectional Recurrent Convolutional Neural Network for Relation Classification |
Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information | SATIRE: a software architecture for smart AtTIRE |
Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information | evaluation of a threshold - based tri - axial accelerometer fall detection algorithm . |
On the Evolution of Mobile Platform Ecosystem Structure and Strategy | Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation |
On the Evolution of Mobile Platform Ecosystem Structure and Strategy | Managing Platform Ecosystems |
On the Evolution of Mobile Platform Ecosystem Structure and Strategy | Mobile business models: organizational and financial design issues that matter |
Secure Key Distribution for the Smart Grid | Security and Privacy Challenges in the Smart Grid |
Secure Key Distribution for the Smart Grid | Fault-Tolerant and Scalable Key Management for Smart Grid |
Wireless hacking - a WiFi hack by cracking WEP | Practical attacks against WEP and WPA |
motion tracking : no silver bullet , but a respectable arsenal . | Constellation: a wide-range wireless motion-tracking system for augmented reality and virtual set applications |
A correlated topic model of Science | Mixed Membership Models of Scientific Publications |
A correlated topic model of Science | Correlated Topic Models |
A correlated topic model of Science | Latent Dirichlet Allocation |
a framework for resource allocation in grid computing . | Dynamic Matching and Scheduling of a Class of Independent Tasks onto Heterogeneous Computing Systems |
a framework for resource allocation in grid computing . | Nimrod/G: An Architecture of a Resource Management and Scheduling System in a Global Computational Grid |
CodeWorkout: Short Programming Exercises with Built-in Data Collection | ELM-ART: An Adaptive Versatile System for Web-Based Instruction |
CodeWorkout: Short Programming Exercises with Built-in Data Collection | Review of recent systems for automatic assessment of programming assignments |