Kira Radinsky | Academic Influence

Kira Radinsky's AcademicInfluence.com Rankings

Kira Radinsky

Computer Science

#1279

World Rank

#1321

Historical Rank

Data Science

#12

World Rank

#12

Historical Rank

Computational Linguistics

#3129

World Rank

#3166

Historical Rank

Machine Learning

#5736

World Rank

#5815

Historical Rank

computer-science Degrees

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Computer Science

Kira Radinsky's Degrees

PhD Computer Science Technion – Israel Institute of Technology
Bachelors Computer Science Technion – Israel Institute of Technology

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Why Is Kira Radinsky Influential?

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According to Wikipedia, Kira Radinsky is a Ukraine-born Israeli computer scientist, inventor and entrepreneur, specializing in predictive data mining. She gained recognition after being selected by the MIT Technology Review to the "35 Innovators Under 35" list. Her work was described in the popular press as predicting the first in 130 years outbreak of cholera in Cuba, based on the pattern identified by mining of 150 years of data from various sources: in poor countries, floods within a year after a drought often follow by a cholera outbreak.

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Kira Radinsky's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A word at a time: computing word relatedness using temporal semantic analysis (2011) (468)
Learning causality for news events prediction (2012) (224)
Mining the web to predict future events (2013) (202)
Time-sensitive query auto-completion (2012) (144)
Modeling and predicting behavioral dynamics on the web (2012) (134)
Node Embedding over Temporal Graphs (2019) (96)
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification (2019) (78)
Named Entity Disambiguation for Noisy Text (2017) (75)
Behavioral dynamics on the web: Learning, modeling, and prediction (2013) (68)
Predicting content change on the web (2013) (62)
Learning to Predict from Textual Data (2012) (47)
Predicting the News of Tomorrow Using Patterns in Web Search Queries (2008) (46)
Ranking from pairs and triplets: information quality, evaluation methods and query complexity (2011) (39)
Prototype-Based Compound Discovery Using Deep Generative Models. (2018) (35)
Generating Product Descriptions from User Reviews (2019) (33)
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification (2020) (33)
Learning Word Relatedness over Time (2017) (31)
Machine learning of big data in gaining insight into successful treatment of hypertension (2018) (24)
Machine learning algorithm for early detection of end-stage renal disease (2020) (24)
Improving ECG Classification Using Generative Adversarial Networks (2020) (22)
Clinical pharmacology of old age (2019) (21)
Time Masking for Temporal Language Models (2021) (20)
Chronic Use of β-Blockers and the Risk of Parkinson’s Disease (2019) (19)
Building Causal Graphs from Medical Literature and Electronic Medical Records (2019) (19)
Temporal web dynamics and its application to information retrieval (2013) (19)
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks (2018) (15)
Development of a machine learning algorithm for early detection of opioid use disorder (2020) (14)
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding (2020) (14)
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning (2021) (14)
Learning to Generate Personalized Product Descriptions (2019) (14)
Temporal Attention for Language Models (2022) (11)
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations (2019) (10)
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications (2019) (10)
Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients (2021) (9)
Generating Timelines by Modeling Semantic Change (2019) (8)
Learning Novelty-Aware Ranking of Answers to Complex Questions (2019) (7)
SIGIR 2013 workshop on time aware information access (#TAIA2013) (2013) (6)
Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization (2021) (6)
Identification of repurposable drugs with beneficial effects on glucose control in type 2 diabetes using machine learning (2019) (5)
On Biases of Attention in Scientific Discovery (2020) (5)
Learning to Predict the Future using Web Knowledge and Dynamics (2012) (5)
Event-Driven Query Expansion (2020) (4)
Learning Causality from Textual Data (2011) (4)
Gender-sensitive word embeddings for healthcare (2021) (3)
Structuring the Unstructured: From Startup to Making Sense of eBay's Huge eCommerce Inventory (2017) (3)
Cross-Cultural Transfer Learning for Text Classification (2019) (3)
Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture (2021) (3)
Descriptions from the Customers (2020) (3)
Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction (2022) (2)
Advances in Information Retrieval (2014) (2)
12-Lead ECG Reconstruction via Koopman Operators (2021) (2)
EqGNN: Equalized Node Opportunity in Graphs (2021) (1)
Physicians and Machine-Learning Algorithm Performance in Predicting Left-Ventricular Systolic Dysfunction from a Standard 12-Lead-Electrocardiogram (2022) (1)
On Biases Of Attention In Scientific Discovery. (2020) (1)
The effects of natural compounds on proliferation of human prostate cancer cells (2003) (0)
Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients (2021) (0)
Learning to Focus when Ranking Answers (2018) (0)
tBDFS: Temporal Graph Neural Network Leveraging DFS (2022) (0)
AAAI Press Formatting Instructions for Authors Using LaTeX -- A Guide (2021) (0)
Proceedings of the 36th European Conference on IR Research on Advances in Information Retrieval - Volume 8416 (2014) (0)
Learning to Rank Articles for Molecular Queries (2022) (0)
What If: Generating Code to Answer Simulation Questions (2022) (0)
Prototype-Based Chemical Design using Diversity-Driven Generative Models (2019) (0)
Chemical and Textual Embeddings for Drug Repurposing (2020) (0)
Apparatus and methods for the management of patients in a medical setting (2018) (0)
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? (2018) (0)
#TAIA2012 (2012) (0)
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly (2022) (0)
Brain-Computer Interfaces for Music Recommendation (2011) (0)
The BIG Web Track Chairs' Welcome & Organization (2018) (0)
Pavlovian and Instrumental Conditioning in Spiking Neural Networks (2008) (0)

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What Schools Are Affiliated With Kira Radinsky?

Kira Radinsky is affiliated with the following schools:

Technion – Israel Institute of Technology