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Computer Science

D-Index
46
Citations
8511
World Ranking
6857
National Ranking
110

Overview

Ari Rappoport is affiliated with the Hebrew University of Jerusalem in Israel and has an extensive research portfolio spanning medicine, neuroscience, and computer science. Their work encompasses several subfields, including neurology, artificial intelligence, physiology, cognitive neuroscience, and biomaterials.

Their research focuses on topics related to neurodegenerative diseases and advanced material sciences. Key themes in their research include:

  • Alzheimer's disease research and treatments
  • Amyotrophic Lateral Sclerosis research
  • Parkinson's disease mechanisms and treatments
  • Biodegradable polymer synthesis and properties
  • Topic modeling
  • Lipid membrane structure and behavior
  • Cholesterol and lipid metabolism

Rappoport has published in a variety of scientific venues. The most frequent publication outlets are:

  • Preprints.org
  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Annual Review of Biochemistry
  • 9th International Conference "Distributed Computing and Grid Technologies in Science and Education"

Their recent publications include:

  • "Efficient Clustering of Short Messages into General Domains," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Don't Let Me Be #Misunderstood: Linguistically Motivated Algorithm for Predicting the Popularity of Textual Memes," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "UCCA's Foundational Layer: Annotation Guidelines v2.1," 2020, arXiv (Cornell University)
  • "A Lipid-Raft Theory of Alzheimer's Disease," 2024, Annual Review of Biochemistry
  • "Insulin in Amyotrophic Lateral Sclerosis: Impairment, Tests and Treatment," 2023, Preprints.org

Collaborations have been a part of their research activities, frequently co-authoring with researchers such as:

  • Oren Tsur
  • Adi Littman
  • Omri Abend
  • Nathan Schneider
  • Dotan Dvir

Best Publications

  • Enhanced Sentiment Learning Using Twitter Hashtags and Smileys

    Dmitry Davidov;Oren Tsur;Ari Rappoport

  • Semi-Supervised Recognition of Sarcasm in Twitter and Amazon

    Dmitry Davidov;Oren Tsur;Ari Rappoport

  • What's in a hashtag?: content based prediction of the spread of ideas in microblogging communities

    Oren Tsur;Ari Rappoport

  • ICWSM - A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews

    Oren Tsur;Dmitry Davidov;Ari Rappoport

  • Semi-supervised recognition of sarcastic sentences in Twitter and Amazon

    Dmitry Davidov;Oren Tsur;Ari Rappoport

  • Shape blending using the star-skeleton representation

    M. Shapira;A. Rappoport

  • Simple constrained deformations for geometric modeling and interactive design

    Paul Borrel;Ari Rappoport

  • Universal Conceptual Cognitive Annotation (UCCA)

    Omri Abend;Ari Rappoport

  • Image-Based Rendering for Non-Diffuse Synthetic Scenes

    Dani Lischinski;Ari Rappoport

  • BLEU is Not Suitable for the Evaluation of Text Simplification

    Elior Sulem;Omri Abend;Ari Rappoport

  • Authorship Attribution of Micro-Messages

    Roy Schwartz;Oren Tsur;Ari Rappoport;Moshe Koppel

  • Interactive reflections on curved objects

    Eyal Ofek;Ari Rappoport

  • Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction

    Roy Schwartz;Roi Reichart;Ari Rappoport

  • REVRANK: A Fully Unsupervised Algorithm for Selecting the Most Helpful Book Reviews

    Oren Tsur;Ari Rappoport

  • Hexahedral Mesh Generation using the Embedded Voronoi Graph

    Alla Sheffer;Michal Etzion;Ari Rappoport;Michel Bercovier

  • An architecture for universal CAD data exchange

    Ari Rappoport

  • Volume-preserving free-form solids

    A. Rappoport;A. Sheffer;M. Bercovier

  • Multi-Task Active Learning for Linguistic Annotations

    Roi Reichart;Katrin Tomanek;Udo Hahn;Ari Rappoport

  • Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets

    Roi Reichart;Ari Rappoport

  • How Well Do Distributional Models Capture Different Types of Semantic Knowledge

    Dana Rubinstein;Effi Levi;Roy Schwartz;Ari Rappoport

  • Efficient Unsupervised Discovery of Word Categories Using Symmetric Patterns and High Frequency Words

    Dmitry Davidov;Ari Rappoport

Frequent Co-Authors

Roi Reichart
Roi Reichart Technion – Israel Institute of Technology
Ariel Shamir
Ariel Shamir Reichman University
Alla Sheffer
Alla Sheffer University of British Columbia
Michael Werman
Michael Werman Hebrew University of Jerusalem
Anna Korhonen
Anna Korhonen University of Cambridge
Eyal Ofek
Eyal Ofek Microsoft (United States)
Moshe Koppel
Moshe Koppel Bar-Ilan University
Udo Hahn
Udo Hahn Friedrich Schiller University Jena
Jarek Rossignac
Jarek Rossignac Georgia Institute of Technology
Dani Lischinski
Dani Lischinski Hebrew University of Jerusalem

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