xdata_pubs.json

[
    {
        "XData Teams": ["Boeing/Pitt"], 
        "Link": "http://www.ncbi.nlm.nih.gov/pubmed/23466438 ", 
        "Title": "Impact of precision of Bayesian network parameters on accuracy of  medical diagnostic systems",
        "Credits": "Agnieszka Onisko, Marek J. Druzdzel,  In:  Artificial Intelligence in Medicine, 2013 Mar;57(3):197-206."
    }, 
    {
        "XData Teams": ["Boeing/Pitt"], 
        "Link": "http://d-scholarship.pitt.edu/19109/ ", 
        "Title": "An Empirical Comparison of Bayesian Network Parameter",
        "Credits": "Parot Ratnapindaand Marek J. Druzdzel, In: Proceedings of the Florida Artificial Intelligence Research Society Conference (FLAIRS), 22-24 May 2013, St. Pete Beach, Florida, USA."
    }, 
    {
        "XData Teams": ["Carnegie Mellon University"], 
        "Link": "http://www.autonlab.org/autonweb/21880.html", 
        "Title": "Efficient Learning on Point Sets"
    }, 
    {
        "XData Teams": ["Carnegie Mellon University"], 
        "Link": "http://www.cs.cmu.edu/~schneide/cond-div.pdf", 
        "Title": "Learning from Point Sets with Observational Bias"
    }, 
    {
        "XData Teams": ["Carnegie Mellon University"], 
        "Link": "http://www.cs.cmu.edu/~schneide/xiong_PhD_draft.pdf", 
        "Title": "On Learning from Collective Data"
    }, 
    {
        "XData Teams": ["Carnegie Mellon University"], 
        "Link": "http://reports-archive.adm.cs.cmu.edu/anon/ml2013/CMU-ML-13-103.pdf", 
        "Title": "More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server"
    }, 
    {
        "XData Teams": ["Carnegie Mellon University"], 
        "Link": "http://www.cs.cmu.edu/~junmingy/papers/Yin-Ho-Xing-NIPS13.pdf", 
        "Title": "A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks"
    }, 
    {
        "XData Teams": ["Carnegie Mellon University"], 
        "Link": "http://www.cs.cmu.edu/~epxing/papers/2013/Dubey_Williamson_Xing_ICML13.pdf", 
        "Title": "Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models"
    }, 
    {
        "XData Teams": ["Continuum Analytics and Indiana University"], 
        "Link": "http://www.crest.iu.edu/publications/prints/2013/Cottam2013AR.pdf", 
        "Title": "Overplotting: Unified solutions under Abstract Rendering"
    }, 
    {
        "XData Teams": ["Continuum Analytics and Indiana University"], 
        "Link": "To appear in SPIE: Visualization and Data Analysis (VDA) 2014", 
        "Title": "Abstract Rendering: Out-of-core Rendering for Information Visualization"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "https://smartech.gatech.edu/bitstream/handle/1853/49249/GT-CSE-2013-05.pdf?sequence=1", 
        "Title": "To Gather Together for a Better World: Understanding and Leveraging Communities in Micro-lending Recommendation"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "https://smartech.gatech.edu/bitstream/handle/1853/49182/GT-CSE-2013-03.pdf", 
        "Title": "A Better World for All:  Understanding and Promoting Micro-finance Activities in Kiva.org"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6634167 ", 
        "Title": "UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://www.cc.gatech.edu/~zha/papers/km0600s-li-1.pdf", 
        "Title": "Dyadic Event Attribution in Social Networks with Mixtures of Hawkes Processes"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://papers.nips.cc/paper/4857-scalable-influence-estimation-in-continuous-time-diffusion-networks", 
        "Title": "Scalable Influence Estimation in Continuous-Time Diffusion Networks"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://jmlr.org/proceedings/papers/v31/du13a.pdf", 
        "Title": "Uncover Topic-Sensitive Information Diffusion Networks"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://arxiv.org/abs/1310.7441 ", 
        "Title": "Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://dl.acm.org/citation.cfm?id=2487575.2487606; http://www.cc.gatech.edu/grads/d/dkuang3/pub/fp0269-kuang.pdf", 
        "Title": "Fast rank-2 nonnegative matrix factorization for hierarchical document clustering"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://poloclub.gatech.edu/idea2013/papers/p64-lee.pdf ", 
        "Title": "Augmenting MATLAB with Semantic Objects for an Interactive Visual Environment"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://machinelearning.wustl.edu/mlpapers/paper_files/yang13a.pdf", 
        "Title": "Mixture of Mutually Exciting Processes for Viral Diffusion"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://jmlr.org/proceedings/papers/v31/zhou13a.pdf", 
        "Title": "Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes"
    }, 
    {
        "XData Teams": ["Georgia Tech / GTRI"], 
        "Link": "http://jmlr.org/proceedings/papers/v28/zhou13.pdf", 
        "Title": "Learning Triggering Kernels for Multi-dimensional Hawkes Processes"
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1211.6085", 
        "Title": "Random Projections for Support Vector Machines "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1209.2185", 
        "Title": "Efficient Dimensionality Reduction for Canonical Correlation Analysis "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1204.0062", 
        "Title": "Improved matrix algorithms via the Subsampled Randomized Hadamard Transform "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1202.3505", 
        "Title": "Near-optimal Coresets For Least-Squares Regression "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1109.5664", 
        "Title": "Deterministic Feature Selection for K-means Clustering "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1207.6365", 
        "Title": "Low-rank Approximation and Regression in Input Sparsity Time "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1304.6475v2.pdf", 
        "Title": "Subspace Embeddings and L_p-Regression Using Exponential Random Variables "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1304.6475v2.pdf", 
        "Title": "Revisiting Asynchronous Linear Solvers: Provable Convergence Rate Through Randomization "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "To appear", 
        "Title": "Highly Scalable Linear Time Estimation of Spectrograms - A Tool for Very Large Scale Data Analysis "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1103.0995v3", 
        "Title": "Near-Optimal Column-Based Matrix Reconstruction "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1201.0127v4.pdf", 
        "Title": "Faster Subset Selection for Matrices and Applications  "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "To appear", 
        "Title": "Sketching Structured Matrices for Faster Nonlinear Regression Haim Avron "
    }, 
    {
        "XData Teams": ["IBM Research"], 
        "Link": "http://arxiv.org/pdf/1305.0087", 
        "Title": "Quantile Regression for Large-scale Applications "
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1306.0267", 
        "Title": "Locality statistics for anomaly detection in time series of graphs"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1212.1182", 
        "Title": "Universally consistent vertex classification for latent positions graphs"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/pdf/1310.1297.pdf", 
        "Title": "Seeded graph matching for large stochastic block model graphs"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/pdf/1310.0532.pdf", 
        "Title": "Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1305.4893", 
        "Title": "Out-of-sample Extension for Latent Position Graphs"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1304.7981", 
        "Title": "Generalized Canonical Correlation Analysis for Classification in High Dimensions"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1304.7844", 
        "Title": "Seeded graph matching for correlated Erdos-Renyi graphs"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1301.1954", 
        "Title": "On the Incommensurability Phenomenon"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1312.2638", 
        "Title": "Vertex Nomination Schemes for Membership Prediction"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1311.5954", 
        "Title": "Robust Vertex Classification"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1207.6745", 
        "Title": "Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1305.7388", 
        "Title": "A limit theorem for scaled eigenvectors of random dot product graphs"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1211.3601", 
        "Title": "Statistical inference on errorfully observed graphs"
    }, 
    {
        "XData Teams": ["Johns Hopkins University"], 
        "Link": "http://arxiv.org/abs/1209.0367", 
        "Title": "Seeded Graph Matching"
    }, 
    {
        "XData Teams": ["Harvard"], 
        "Link": "http://www.people.fas.harvard.edu/~airoldi/pub/journals/j024.AzariAiroldi2012JMLRWCP.pdf", 
        "Title": "Graphlet decomposition of a weighted network"
    }, 
    {
        "XData Teams": ["Harvard and Kitware, Inc."], 
        "Link": "http://people.seas.harvard.edu/~alex/papers/2013_infovis_entourage.pdf", 
        "Title": "Entourage: Visualizing Relationships between Biological Pathways using Contextual Subsets"
    }, 
    {
        "XData Teams": ["Harvard and Kitware, Inc."], 
        "Link": "http://people.seas.harvard.edu/~alex/papers/2013_infovis_lineup.pdf", 
        "Title": "LineUp: Visual Analysis of Multi-Attribute Rankings "
    }, 
    {
        "XData Teams": ["MDA Information Systems, Inc.", "University of Southern California"], 
        "Link": "http://issuu.com/kmi_media_group/docs/gif_11-5_final/27 ", 
        "Title": "Unlocking Big Data",
        "Credits" : "Park, Samuel L.; Mattmann, Chris A. In July-August issue of Geospatial Intelligence Forum (Vol 11, #5, pages 25-26)"
    }, 
    {
        "XData Teams": ["MDA Information Systems, Inc.", "University of Southern California"], 
        "Link": "http://www.isi.edu/~gil/papers/gil-icsc13.pdf", 
        "Title": "Mapping Semantic Workflows to Alternative Workflow Execution Engines. Gil, Y. "
    }, 
    {
        "XData Teams": ["MDA Information Systems, Inc.", "University of Southern California"], 
        "Link": "http://www.isi.edu/~gil/papers/kale-etal-aaaifss13.pdf", 
        "Title": "Capturing Data Analytics and Visualization Expertise with Workflows"
    }, 
    {
        "XData Teams": ["MDA Information Systems, Inc.", "University of Southern California"], 
        "Link": "http://www.isi.edu/~gil/papers/gil-etal-works13.pdf", 
        "Title": "Time-Bound Analytic Tasks on Large Datasets through Dynamic"
    }, 
    {
        "XData Teams": ["MDA Information Systems, Inc.", "University of Southern California"], 
        "Link": "http://www.isi.edu/~gil/papers/kale-etal-aaaifss13.pdf", 
        "Title": "> Configuration of Workflows"
    }, 
    {
        "XData Teams": ["MDA Information Systems, Inc.", "University of Southern California"], 
        "Link": "http://www.isi.edu/~gil/papers/sethi-etal-mm13.pdf ", 
        "Title": "Large-Scale Multimedia Content Analysis Using Scientific Workflows. Jo, H, Sethi, r., Philpot, A., and Gil, Y."
    }, 
    {
        "XData Teams": ["MIT-LL"], 
        "Link": "http://snap.stanford.edu/networks2013/papers/netnips2013_submission_3.pdf", 
        "Title": "Content + Context Networks for User Classification in Twitter"
    }, 
    {
        "XData Teams": ["MIT-LL"], 
        "Link": "http://www.ll.mit.edu/mission/cybersec/publications/HLTpublications.html", 
        "Title": "Combining Content, Network and Profile Features for User Classification in Twitter"
    }, 
    {
        "XData Teams": ["Oculus Info Inc."], 
        "Link": "http://www.oculusinfo.com/assets/pdfs/papers/Ware_Et_Al_VTDP_2013.pdf ", 
        "Title": "Visual Thinking Design Patterns"
    }, 
    {
        "XData Teams": ["Oculus Info Inc."], 
        "Link": "http://www.oculusinfo.com/assets/pdfs/papers/HICSS_Aperture_Framework.pdf ", 
        "Title": "Aperture: An Open Web 2.0 Visualization Framework"
    }, 
    {
        "XData Teams": ["Oculus Info Inc."], 
        "Link": "http://www.oculusinfo.com/assets/pdfs/papers/Submitted_Oculus_Big_Data_Twitter_Plots_23Aug2013.pdf ", 
        "Title": "Tile Based Visual Analytics for Twitter Big Data Exploratory Analysis"
    }, 
    {
        "XData Teams": ["Oculus Info Inc."], 
        "Link": "http://www.oculusinfo.com/assets/pdfs/papers/Submitted_Oculus_Big_Data_Scatter_Plot_EDA_9Aug2013_Final_better.pdf ", 
        "Title": "Interactive Data Exploration with 'Big Data Tukey Plots', "
    }, 
    {
        "XData Teams": ["Oculus Info Inc."], 
        "Link": "http://www.oculusinfo.com/assets/pdfs/papers/Submitted_Oculus_Big_Data_Louvain_Clustering_9Aug2013_Final.pdf ", 
        "Title": "Louvain Clustering for Big Data Graph Visual Analytics"
    }, 
    {
        "XData Teams": ["Scientific Systems Company, Inc., MIT, and University of Lousville"], 
        "Link": "To appear", 
        "Title": "Advanced Machine Learning and Statistical Inference Approaches for Big Data Analytics and Information Fusion"
    }, 
    {
        "XData Teams": ["Sotera Defense Solutions, Inc."], 
        "Link": "To appear", 
        "Title": "Correlation Using Pair-wise Combinations of Multiple Data Sources and Dimensions at Ultra-Large Scales"
    }, 
    {
        "XData Teams": ["Sotera Defense Solutions, Inc."], 
        "Link": "https://github.com/Sotera/aggregate-micro-paths/blob/master/AggregateMicropathing_draft.pdf?raw=true", 
        "Title": "Data in the Aggregate: Discovering Honest Signals and Predictable Patterns within Ultra Large Data Sets"
    }, 
    {
        "XData Teams": ["Stanford University - Hanrahan","Purdue","PNNL"], 
        "Link": "http://ml.stat.purdue.edu/gaby/BigData.ExploreCleanModel.2013.pdf", 
        "Title": "Large-Scale Exploratory Analysis, Cleaning, and Modeling for Event Detection in Real-World Power Systems Data"
    }, 
    {
        "XData Teams":["Stanford University - Hanrahan","Purdue","PNNL"], 
        "Link": "http://ml.stat.purdue.edu/gaby/MLandEDAforBigData.pdf", 
        "Title": "EDA and ML - A Perfect Pair for Large-Scale Data Analysis"
    }, 
    {
        "XData Teams": ["Stanford University - Hanrahan","Purdue","PNNL"], 
        "Link": "http://ml.stat.purdue.edu/gaby/RHadoop.PowerGridDataAnalysis.2013.pdf ", 
        "Title": "Power Grid Data Analysis with R and Hadoop"
    }, 
    {
        "XData Teams": ["Stanford University - Hanrahan","Purdue","PNNL"], 
        "Link": "http://ml.stat.purdue.edu/gaby/imMensEuroVis.2013.pdf", 
        "Title": "imMens: Real-time Visual Querying of Big Data"
    }, 
    {
        "XData Teams": ["Stanford University - Boyd"], 
        "Link": "http://www.stanford.edu/~boyd/papers/prox_algs.html", 
        "Title": "Proximal Algorithms"
    }, 
    {
        "XData Teams": ["Stanford University - Boyd"], 
        "Link": "http://www.stanford.edu/~boyd/papers/pdos.html", 
        "Title": "A Primal-Dual Operator Splitting Method for Conic Optimization"
    }, 
    {
        "XData Teams": ["Stanford University - Boyd"], 
        "Link": "http://www.stanford.edu/~boyd/papers/scs.html", 
        "Title": "Operator Splitting for Conic Optimization via Homogeneous Self-Dual Embedding"
    },
    {
        "XData Teams": ["Stanford University - Boyd"], 
        "Link": "http://www.stanford.edu/~boyd/papers/ecos.html", 
        "Title": "ECOS: An SOCP Solver for Embedded Systems"
    },
   {
        "XData Teams": ["Stanford University - Boyd"], 
        "Link": "http://www.stanford.edu/~boyd/papers/ecos_codegen_ecc.html", 
        "Title": "Code Generation for Embedded Second-Order Cone Programming"
    },
    {
        "XData Teams": ["Stanford University - Hanrahan","Purdue","PNNL"], 
        "Link": "http://ml.stat.purdue.edu/gaby/trelliscope.ldav.2013.pdf", 
        "Title": "Trelliscope: A System for Detailed Visualization in the Deep Analysis of Large Complex Data"
    }, 

    {
        "XData Teams": ["Stanford University - Olukotun"], 
        "Link": "http://www.stanford.edu/~shhuang/papers/nifty_www2013.pdf", 
        "Title": "NIFTY: A System for Large Scale Information Flow Tracking and Clustering"
    }, 
    {
        "XData Teams": ["Stanford University - Olukotun"], 
        "Link": "http://ppl.stanford.edu/papers/ecoop13_sujeeth.pdf", 
        "Title": "Composition and Reuse with Compiled Domain-Specific Languages"
    }, 
    {
        "XData Teams": ["Stanford University - Olukotun"], 
        "Link": "http://jmlr.org/papers/v14/bosagh-zadeh13a.html ", 
        "Title": "Dimension Independent Similarity Computation"
    }, 
    {
        "XData Teams": ["Stanford University - Olukotun"], 
        "Link": "http://doi.acm.org/10.1145/2512938.2512955 ", 
        "Title": "On the precision of social and information networks"
    }, 
    {
        "XData Teams": ["Stanford University - Olukotun"], 
        "Link": "http://dl.acm.org/citation.cfm?id=2517220", 
        "Title": "Forge: Generating a High Performance DSL Implementation from a Declarative Specification"
    }, 
    {
        "XData Teams": ["The New School"], 
        "Link": "https://www.dropbox.com/sh/ea6ya5cpnxreuak/Ae6tpC9L30/Data_Visualization_for_Big_Data_Parsons.pdf ", 
        "Title": "Data Visualization for Big Data (Goranson"
    }, 
    {
        "XData Teams": ["The New School"], 
        "Link": "https://www.dropbox.com/sh/ea6ya5cpnxreuak/NM7qycXc7l/IAM_Cognitive_Mapping_Thesis_Parsons.pdf ", 
        "Title": "IAM - Incremental Agent-Based Mapping"
    }, 
    {
        "XData Teams": ["The New School"], 
        "Link": "https://www.dropbox.com/sh/ea6ya5cpnxreuak/F6INhNz-PE/IAM_DARPA_FIN_Compiled_Parsons.pdf ", 
        "Title": "Expediting Cooperation in Government funded\nOpen Source Programs: Incremental\nAgent-based Mapping, a Pattern Language for\nCollaborative Cognition"
    }, 
    {
        "XData Teams": ["The New School"], 
        "Link": "https://www.dropbox.com/sh/ea6ya5cpnxreuak/RyhknZGYPS/XDATA_Design_Methodology_Parsons.pdf ", 
        "Title": "Design Methodology of the XDATA Program"
    }, 
    {
        "XData Teams": ["The New School"], 
        "Link": "https://www.dropbox.com/sh/ea6ya5cpnxreuak/T71QA5z_iI/Data_Visualization_Design_Guidelines_Parsons_FIN.pdf", 
        "Title": "Data Visualization Design Guidelines "
    }, 
    {
        "XData Teams": ["The New School"], 
        "Link": "https://www.dropbox.com/sh/ea6ya5cpnxreuak/q6h5q76tfY/Big_Data_and_Knowledge_Discovery_Metapictorial_Visualization_Parsons.pdf", 
        "Title": "Big Data and Knowledge Discovery Through Metapictorial Visualization"
    }, 
    {
        "XData Teams": ["The New School"], 
        "Link": "https://www.dropbox.com/sh/ea6ya5cpnxreuak/V5fag28-jZ/XDATA_GUI_Design_Volume_I_Parsons.pdf ", 
        "Title": "Design and Visualization Best Practices for Big Data:  Enhancing Data Discovery through Improved Usability"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/carat-sensys/", 
        "Title": "Carat: Collaborative Energy Diagnosis for Mobile Devices"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "http://dl.acm.org/citation.cfm?doid=2517349.2522737", 
        "Title": "Discretized Streams: Fault-Tolerant Streaming Computation at Scale"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/sparrow-distributed-low-latency-scheduling/", 
        "Title": "Sparrow: Distributed, Low Latency Scheduling"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/a-general-bootstrap-performance-diagnostic/", 
        "Title": "A General Bootstrap Performance Diagnostic"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/mli-an-api-for-distributed-machine-learning/", 
        "Title": "MLI: An API for Distributed Machine Learning"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/leveraging-endpoint-flexibility-in-data-intensive-clusters/", 
        "Title": "Leveraging Endpoint Flexibility in Data-Intensive Clusters"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/shark-sql-and-rich-analytics-at-scale/", 
        "Title": "Shark: SQL and Rich Analytics at Scale"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/graphx-grades/", 
        "Title": "GraphX: A Resilient Distributed Graph System on Spark"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/rtp-robust-tenant-placement-for-elastic-in-memory-database-clusters/", 
        "Title": "RTP: Robust Tenant Placement for Elastic In-Memory Database Clusters"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/bolt-on-causal-consistency/", 
        "Title": "Bolt-on Causal Consistency"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/blinkdb-queries-with-bounded-errors-and-bounded-response-times-on-very-large-data/", 
        "Title": "BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/mdcc-multi-data-center-consistency/", 
        "Title": "MDCC: Multi-Data Center Consistency"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/the-case-for-tiny-tasks-in-compute-clusters/", 
        "Title": "The Case for Tiny Tasks in Compute Clusters"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/presto-distributed-machine-learning-and-graph-processing-with-sparse-matrices/", 
        "Title": "Presto: Distributed Machine Learning and Graph Processing with Sparse Matrices"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/mlbase-a-distributed-machine-learning-system/", 
        "Title": "MLbase: A Distributed Machine-learning System"
    },
    {
        "XData Teams": ["University of California, Berkeley"], 
        "Link": "https://amplab.cs.berkeley.edu/publication/the-potential-dangers-of-causal-consistency-and-an-explicit-solution/", 
        "Title": "Coflow: A Networking Abstraction for Cluster Applications"
    },{
        "XData Teams": ["Royal Caliber"], 
        "Link": "http://www.royal-caliber.com/vertexapi2.pdf", 
        "Title": "VertexAPI2 - A Vertex-Program API for Large Graph Computations on the GPU"
    },{
        "XData Teams":["Draper Laboratory"],
        "Link": "http://pjim.newschool.edu/issues/2014/01/pdfs/ParsonsJournalForInformationMapping_Jana_Schwartz.pdf", 
        "Title": "Measuring the value of big data exploitation systems:  quantitative, non-subjective metrics with the user as a key component"
    }
]