World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
31
Citations
6133
World Ranking
9643
National Ranking
2743

Overview

Naoki Abe is affiliated with IBM in the United States and has contributed extensively to the field of medicine. Their main area of research focuses on inflammatory and autoimmune disorders, with a significant emphasis on inflammatory bowel disease and related gastrointestinal conditions.

Their research spans multiple subfields, including surgery, epidemiology, genetics, molecular biology, and gastroenterology. This multidisciplinary approach supports their investigation into various medical conditions and underlying biological mechanisms.

Naoki Abe's recent publications cover topics related to gastrointestinal diseases and biochemical markers. Notable works include:

  • Serum Zinc and Selenium in Children with Inflammatory Bowel Disease: A Multicenter Study in Japan, 2021, Digestive Diseases and Sciences
  • Safety and efficacy of the endoscopic delivery of capsule endoscopes in adult and pediatric patients: Multicenter Japanese study (AdvanCE-J study), 2021, Digestive Endoscopy
  • Diagnostic accuracy of serum proteinase 3 antineutrophil cytoplasmic antibodies in children with ulcerative colitis, 2020, Journal of Gastroenterology and Hepatology
  • Serum leucine-rich alpha-2 glycoprotein and calprotectin in children with inflammatory bowel disease: A multicenter study in Japan, 2023, Journal of Gastroenterology and Hepatology
  • Luteolin overcomes resistance to benzyl isothiocyanate-induced apoptosis in human colorectal cancer HCT-116 cells, 2020, Journal of Food and Drug Analysis

The frequent co-authors working with Naoki Abe include:

  • Toshihiko Kakiuchi
  • Yuri Etani
  • Tatsuki Mizuochi
  • Takahiro Kudo
  • Katsuhiro Arai

Their work has been published in various scientific venues, with multiple articles appearing in:

  • Case Reports in Women s Health
  • Journal of Gastroenterology and Hepatology
  • arXiv (Cornell University)
  • Digestive Diseases and Sciences
  • Digestive Endoscopy

Naoki Abe's research topics are varied but maintain a strong focus on gastrointestinal and inflammatory conditions. Main topics include inflammatory bowel disease, microscopic colitis, Helicobacter pylori-related gastroenterology studies, autoimmune and inflammatory disorders, point processes and geometric inequalities, diffusion and search dynamics, and trace elements in health.

Best Publications

  • Cost-sensitive learning by cost-proportionate example weighting

    B. Zadrozny;J. Langford;N. Abe

  • Query Learning Strategies Using Boosting and Bagging

    Naoki Abe;Hiroshi Mamitsuka

  • Outlier detection by active learning

    Naoki Abe;Bianca Zadrozny;John Langford

  • Temporal causal modeling with graphical granger methods

    Andrew Arnold;Yan Liu;Naoki Abe

  • Unintrusive customization techniques for Web advertising

    Marc Langheinrich;Atsuyoshi Nakamura;Naoki Abe;Tomonari Kamba

  • Generalizing case frames using a thesaurus and the MDL principle

    Hang Li;Naoki Abe

  • On the computational complexity of approximating distributions by probabilistic automata

    Naoki Abe;Manfred K. Warmuth

  • Collaborative Filtering Using Weighted Majority Prediction Algorithms

    Atsuyoshi Nakamura;Naoki Abe

  • Grouped graphical Granger modeling for gene expression regulatory networks discovery

    Aurélie C. Lozano;Naoki Abe;Yan Liu;Saharon Rosset

  • A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction

    Hisashi Kashima;Naoki Abe

  • An iterative method for multi-class cost-sensitive learning

    Naoki Abe;Bianca Zadrozny;John Langford

  • A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction

    H. Kashima;N. Abe

  • System and method for sequential decision making for customer relationship management

    Naoki Abe;Edwin P. D. Pednault

  • Spatial-temporal causal modeling for climate change attribution

    Aurelie C. Lozano;Hongfei Li;Alexandru Niculescu-Mizil;Yan Liu

  • Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction

    Grzegorz Swirszcz;Naoki Abe;Aurelie C Lozano

  • Reinforcement Learning with Immediate Rewards and Linear Hypotheses

    Naoki Abe;Alan W. Biermann;Philip M. Long

  • Optimizing debt collections using constrained reinforcement learning

    Naoki Abe;Prem Melville;Cezar Pendus;Chandan K. Reddy

  • Sequential cost-sensitive decision making with reinforcement learning

    Edwin Pednault;Naoki Abe;Bianca Zadrozny

  • Associative Reinforcement Learning using Linear Probabilistic Concepts

    Naoki Abe;Philip M. Long

  • Proximity-Based Anomaly Detection Using Sparse Structure Learning.

    Tsuyoshi Idé;Aurelie C. Lozano;Naoki Abe;Yan Liu

  • Predicting Protein Secondary Structure Using Stochastic Tree Grammars

    Naoki Abe;Hiroshi Mamitsuka

Frequent Co-Authors

Hang Li
Hang Li ByteDance
Hiroshi Mamitsuka
Hiroshi Mamitsuka Kyoto University
John Langford
John Langford Microsoft (United States)
Chandan K. Reddy
Chandan K. Reddy Virginia Tech
Saharon Rosset
Saharon Rosset Tel Aviv University
Hisashi Kashima
Hisashi Kashima Kyoto University
Philip M. Long
Philip M. Long Google (United States)
Manfred K. Warmuth
Manfred K. Warmuth Google (United States)
Marc Langheinrich
Marc Langheinrich Universita della Svizzera Italiana
Osamu Watanabe
Osamu Watanabe Tokyo Institute of Technology

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