# Amr Ahmed

Staff Research Scientist

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## Papers94 papers

Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models.

State Space LSTM Models with Particle MCMC Inference.

Recurrent Recommender Networks.

Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data.

Canopy Fast Sampling with Cover Trees.

A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications

Automatic grade classification of Barretts Esophagus through feature enhancement.

Fault tolerant distributed key-value storage

**2**|Bibtex

Predicting Latent Structured Intents from Shopping Queries.

SHRec: Scalable Holistic Recommendation.

Joint Training of Ratings and Reviews with Recurrent Recommender Networks

Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering.

An algorithm for accurate needle orientation.

Inferring Movement Trajectories from GPS Snippets

Compressed video matching: Frame-to-frame revisited

PROVIDING INFORMATION TO A USER BASED ON DETERMINED USER ACTIVITY

**3**|Bibtex

High Performance Latent Variable Models

Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails

Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams

Automated Screening of the Retinal Vascular Network for the Detection of Diabetic Retinopathy.

Taxonomy discovery for personalized recommendation

Reducing the sampling complexity of topic models

Biometric template update under facial aging

A framework for automatic semantic video annotation

Focused matrix factorization for audience selection in display advertising

Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling.

Distributed large-scale natural graph factorization

Scalable dynamic nonparametric Bayesian models of content and users

Supercharging recommender systems using taxonomies for learning user purchase behavior

Web-scale multi-task feature selection for behavioral targeting

FastEx: Hash Clustering with Exponential Families.

Fair and balanced: learning to present news stories

MedLDA: maximum margin supervised topic models

Two-layered Blogger identification model integrating profile and instance-based methods

Discovering geographical topics in the twitter stream

Hokusai - Sketching Streams in Real Time

Scalable inference in latent variable models

Fastex: Hash clustering with exponential families

**7**|Bibtex

Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.

Sparse Additive Generative Models of Text.

**1**|EI|Bibtex

PsychoNet 2 - Contextualized and Enriched Psycholinguistic Commonsense Ontology.

**1**|EI|Bibtex

WWW 2011 invited tutorial overview: latent variable models on the internet

Unified analysis of streaming news

Scalable distributed inference of dynamic user interests for behavioral targeting

Invited paper: Structured literature image finder: Parsing text and figures in biomedical literature

**2**|EI|Bibtex

Recovering time-varying networks of dependencies in social and biological studies.

MedLDA: maximum margin supervised topic models for regression and classification

ESTIMATING TIME-VARYING NETWORKS

Joint latent topic models for text and citations

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models

Locating the Upper Body of Covered Humans in application to Diagnosis of Obstructive Sleep Apnea

**11**|EI|Bibtex

Efficient Agent Communication in Multi-agent Systems

ATSpace: a middle agent to support application oriented matchmaking and brokering services

Cyclification of Human Motion for Animation Synthesis

Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process

**3**|Bibtex