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  • 2 x phd in cs and ee diman zad tootaghaj.html
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  • A hadoop mapreduce performance prediction method diman zad tootaghaj.html
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  • A map reduce framework for programming graphics processors diman zad tootaghaj.html
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  • A map reduce framework for programming graphics processors farshid farhat.html
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  • A map-reduce system with an alternate api for multi-core environments diman zad tootaghaj.html
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  • A platform for scalable one-pass analytics using mapreduce .html
  • A platform for scalable one-pass analytics using mapreduce diman zad tootaghaj.html
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  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration diman zad tootaghaj.html
  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration farshid farhat.html
  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration farshidfarhat.html
  • Adapt Availability-aware mapreduce data placement for non-dedicated distributed computing farshidfarhat.html
  • Aesthetic Scoring demi.html
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  • An analytical performance model of mapreduce .html
  • An analytical performance model of mapreduce diman zad tootaghaj.html
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  • Apache hadoop performance-tuning methodologies and best practices diman zad tootaghaj.html
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  • Artificial Intelligence and Photography diman zad tootaghaj.html
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  • Authentication and Key Agreement Protocol diman zad tootaghaj.html
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  • Authentication and Key Agreement Protocol in 4G .html
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  • Automatic Thumbnail Generation diman zad tootaghaj.html
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  • Automatic optimization for MapReduce programs diman zad tootaghaj.html
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  • Behavioral Analog Topology Synthesizer .html
  • Benchmarking approach for designing a mapreduce performance model diman zad tootaghaj.html
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  • Blind detection of low-rate embedding demi.html
  • Blind detection of low-rate embedding diman zad tootaghaj.html
  • Blind detection of low-rate embedding diman.html
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  • Building high-level features using large scale unsupervised learning diman zad tootaghaj.html
  • Building high-level features using large scale unsupervised learning diman.html
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  • CAPTAIN diman zad tootaghaj.html
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  • Caffe Convolutional architecture for fast feature embedding diman zad tootaghaj.html
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  • Caffe Convolutional architecture for fast feature embedding farshidfarhat.html
  • Calculate ATT Shares in a Shared Data Plan .html
  • Cheetah a high performance custom data warehouse on top of MapReduce farshid farhat.html
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  • Cloud computing diman.html
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  • Cloud computing state-of-the-art and research challenges diman zad tootaghaj.html
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  • Comprehensive Composition Assistance for Photo Taking .html
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  • Computer Architecture diman zad tootaghaj.html
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  • Content-based Image Retrieval diman zad tootaghaj.html
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  • Contention-Aware Game-theoretic Model for heterogeneous Resource Assignment .html
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  • Contention-aware Auction-based Resource Management in Architecture .html
  • Controlling Cascading Failures diman zad tootaghaj.html
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  • Convolutional-recursive deep learning for 3d object classification diman zad tootaghaj.html
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  • Cropping Aspect Ratio diman zad tootaghaj.html
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  • Data Mining Practical machine learning tools and techniques farshid farhat.html
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  • Deep Learning for a Digital Age Technologys Untapped Potential To Enrich Higher Education farshid farhat.html
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  • Deep learning and education for sustainability diman zad tootaghaj.html
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  • Deep learning face representation by joint identification-verification diman zad tootaghaj.html
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  • Deep learning face representation from predicting 10000 classes farshid farhat.html
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  • Deep learning in neural networks An overview farshidfarhat.html
  • Deep learning methods and applications diman zad tootaghaj.html
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  • Deep learning of representations for unsupervised and transfer learning diman zad tootaghaj.html
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  • Deep learning properties of good digital games How far can they go diman zad tootaghaj.html
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  • Deep learning using linear support vector machines diman zad tootaghaj.html
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  • Deep learning via Hessian-free optimization farshid farhat.html
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  • Deep learning with COTS HPC systems diman zad tootaghaj.html
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  • Deep machine learning-a new frontier in artificial intelligence research farshid farhat.html
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  • Detecting Dominant Vanishing Points in Natural Scenes .html
  • Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval .html
  • Detecting Dominant Vanishing Points tootaghaj.html
  • Detecting Vanishing Points in Natural Scenes .html
  • Detecting Vanishing Points in Natural Scenes with Application in Photo Composition Analysis .html
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  • Developing deep learning approaches and personal teaching efficacy within a preservice teacher education context diman zad tootaghaj.html
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  • Discovering Triangles in photo .html
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  • Domain adaptation for large-scale sentiment classification A deep learning approach diman zad tootaghaj.html
  • Domain adaptation for large-scale sentiment classification A deep learning approach farshid farhat.html
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  • Dropout as a Bayesian approximation Representing model uncertainty in deep learning diman zad tootaghaj.html
  • Dropout as a Bayesian approximation Representing model uncertainty in deep learning farshid farhat.html
  • Dropout as a Bayesian approximation Representing model uncertainty in deep learning farshidfarhat.html
  • Effects of constructing versus playing an educational game on student motivation and deep learning strategy use diman zad tootaghaj.html
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  • Efficient big data processing in Hadoop MapReduce diman zad tootaghaj.html
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  • Efficient big data processing in MapReduce .html
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  • Eigenvalues-based LSB steganalysis .html
  • Evaluating Architecture and Cloud Workload .html
  • Evaluating Architecture and Cloud Workload demi.html
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  • Evaluating cloud workload characteristics .html
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  • Evaluating mapreduce for multi-core and multiprocessor systems diman zad tootaghaj.html
  • Evaluating mapreduce for multi-core and multiprocessor systems diman.html
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  • Evaluating mapreduce for multi-core and multiprocessor systems farshid farhat.html
  • Evaluating mapreduce for multi-core and multiprocessor systems farshid.html
  • Evaluating mapreduce for multi-core and multiprocessor systems farshidfarhat.html
  • Evaluating mapreduce for multi-core and multiprocessor systems tootaghaj.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost .html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost diman zad tootaghaj.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost diman.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost dimanzt.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost farhat.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost farshid farhat.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost farshid.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost farshidfarhat.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost tootaghaj.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost .html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost demi.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost diman zad tootaghaj.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost diman.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost dimanzt.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost farhat.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost farshid farhat.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost farshid.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost farshidfarhat.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost tootaghaj.html
  • Evaluation of Node Architecture and Cloud Workload diman zad tootaghaj.html
  • Evaluation of Node Architecture and Cloud Workload diman.html
  • Evaluation of Node Architecture and Cloud Workload dimanzt.html
  • Evaluation of Node Architecture and Cloud Workload farhat.html
  • Evaluation of Node Architecture and Cloud Workload farshid farhat.html
  • Evaluation of Node Architecture and Cloud Workload farshid.html
  • Evaluation of Node Architecture and Cloud Workload farshidfarhat.html
  • Evaluation of Node Architecture and Cloud Workload frash.html
  • Experiences on processing spatial data with mapreduce diman zad tootaghaj.html
  • Experiences on processing spatial data with mapreduce farhat.html
  • Experiences on processing spatial data with mapreduce farshid farhat.html
  • Experiences on processing spatial data with mapreduce farshid.html
  • Experiences on processing spatial data with mapreduce farshidfarhat.html
  • Extended Authentication and Key Agreement Protocol .html
  • Extended Authentication and Key Agreement Protocol of UMTS .html
  • Face Detection photography diman zad tootaghaj.html
  • Face Detection photography farhat.html
  • Face Detection photography farshid farhat.html
  • Face Detection photography farshid.html
  • Face Detection photography farshidfarhat.html
  • Fork-Join Queue Modeling and Optimal Scheduling .html
  • Fork-Join Queue Modeling and Optimal Scheduling farshidfarhat.html
  • Fork-Join Queue Modeling and Optimal Scheduling in Parallel Programming Frameworks .html
  • Fork-Join Queue Modeling and Optimal Scheduling in Parallel Programming Frameworks tootaghaj.html
  • Fork-Join Queue demi.html
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  • Fork-Join Queue diman.html
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  • Fork-Join Queue tootaghaj.html
  • Formative assessment a key to deep learning diman zad tootaghaj.html
  • Formative assessment a key to deep learning farshid.html
  • Formative assessment a key to deep learning farshidfarhat.html
  • Game-Theoretic Approach to Mitigate Packet Dropping .html
  • Game-Theoretic Approach to Mitigate Packet Dropping frash.html
  • Game-theoretic approach to mitigate packet dropping in wireless Ad-hoc networks .html
  • Game-theoretic model to mitigate packet dropping .html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment diman zad tootaghaj.html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment farshid farhat.html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment farshidfarhat.html
  • Hadoop MapReduce performance tuning diman zad tootaghaj.html
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  • Hadoop admin performance tuning farhat.html
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  • Hadoop cluster performance diman zad tootaghaj.html
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  • Hadoop gis a high performance spatial data warehousing system over mapreduce farshidfarhat.html
  • Hadoop in practice diman zad tootaghaj.html
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  • Hadoop optimization tips diman zad tootaghaj.html
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  • Hadoop performance tuning-a pragmatic iterative approach farshidfarhat.html
  • Hadoop yarn performance tuning diman zad tootaghaj.html
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  • Hive a warehousing solution over a map-reduce framework diman zad tootaghaj.html
  • Hive a warehousing solution over a map-reduce framework farshid farhat.html
  • Hive a warehousing solution over a map-reduce framework farshidfarhat.html
  • Human Pose Estimation farhat.html
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  • Key Agreement umts .html
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  • MODELING MONITORING AND SCHEDULING TECHNIQUES FOR NETWORK RECOVERY FROM MASSIVE FAILURES demi.html
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  • Penn State Deep Learning .html
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  • Performance benefits of DataMPI a case study with BigDataBench diman zad tootaghaj.html
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  • Performance optimization for short MapReduce job execution in Hadoop diman zad tootaghaj.html
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  • Performance under failures of MapReduce applications diman zad tootaghaj.html
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