Naoki Abe
Impact in
- Artificial Intelligence top 0.5%
- Machine Learning and Algorithms
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Natural Language Processing Techniques
- Topic Modeling
- Algorithms and Data Compression
- Computational Mathematics top 10%
Papers in
-
- Machine Learning and Algorithms 20
- Algorithms and Data Compression 13
- Natural Language Processing Techniques 11
- Imbalanced Data Classification Techniques 8
- Machine Learning and Data Classification 7
- Marketing 10
- Consumer Market Behavior and Pricing 9
- Co-authors
- Bianca ZadroznyJohn LangfordHiroshi MamitsukaHang LiYan LiuAurélie LozanoManfred K. WarmuthAtsuyoshi Nakamura
- Journals
- Modern Rheumatology (3 papers)Machine Learning (3 papers)Computational Linguistics (2 papers)Journal of Gastroenterology and Hepatology (2 papers)Computer Networks (2 papers)
- Partner nations
- JapanUnited StatesIsrael
In The Last Decade
Naoki Abe
95 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 1.8k
- Computational Mathematics 16
- Management Science and Operations Research 284
- Signal Processing 209
- Statistics and Probability 141
Countries citing papers authored by Naoki Abe
This map shows the geographic impact of Naoki Abe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naoki Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Abe more than expected).
Fields of papers citing papers by Naoki Abe
This network shows the impact of papers produced by Naoki Abe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naoki Abe. The network helps show where Naoki Abe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoki Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 13 | |
| 4 | Group Orthogonal Matching Pursuit for Logistic Regression | 2011 | 26 |
| 5 | Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction | 2009 | 62 |
| 6 | Cost-sensitive Boosting with p-norm Loss Functionsand its Applications | 2008 | 2 |
| 7 | 2002 | 25 | |
| 8 | Proceedings of the 12th International Conference on Algorithmic Learning Theory | 2001 | 6 |
| 9 | Polynomial Learnability of Stochastic Rules with Respect to the KL-Divergence and Quadratic Distance | 2001 | 9 |
| 10 | Learning to Optimally Schedule Internet Banner Advertisements | 1999 | 16 |
| 11 | Associative Reinforcement Learning using Linear Probabilistic Concepts | 1999 | 25 |
| 12 | 1998 | 38 | |
| 13 | Collaborative Filtering Using Weighted Majority Prediction Algorithms | 1998 | 85 |
| 14 | Word Clustering and Disambiguation Based on Co-occurence Data. | 1998 | 6 |
| 15 | 1995 | 1 | |
| 16 | 1994 | 5 | |
| 17 | Polynomially Sparse Variations and Reducibility among Prediction Problems | 1992 | 2 |
| 18 | 1991 | 25 | |
| 19 | 1990 | 95 | |
| 20 | 1989 | 6 |
About Naoki Abe
Naoki Abe is a scholar working on Artificial Intelligence, Marketing, Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (20 papers), Algorithms and Data Compression (13 papers), Natural Language Processing Techniques (11 papers), Data Mining Algorithms and Applications (9 papers), Consumer Market Behavior and Pricing (9 papers), Imbalanced Data Classification Techniques (8 papers), Machine Learning and Data Classification (7 papers) and semigroups and automata theory (5 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Computational Mathematics (16 citations), Management Science and Operations Research (284 citations), Signal Processing (209 citations) and Statistics and Probability (141 citations). Naoki Abe has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Bianca Zadrozny, John Langford, Hiroshi Mamitsuka, Hang Li, Yan Liu, Aurélie Lozano, Manfred K. Warmuth, Atsuyoshi Nakamura, Andrew O. Arnold and Hisashi Kashima. Their work appears in journals such as Modern Rheumatology, Machine Learning, Computational Linguistics, Journal of Gastroenterology and Hepatology and Computer Networks.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.