Naoki Abe

4.7k citations

114 papers · 3.3k · 1 hit paper · h-index 28

Impact in

Artificial Intelligence top 0.5%
- Machine Learning and Algorithms
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Natural Language Processing Techniques
- Algorithms and Data Compression
- Topic Modeling
Computational Mathematics top 10%

Papers in

Artificial Intelligence 58
- Machine Learning and Algorithms 28
- Algorithms and Data Compression 18
- Natural Language Processing Techniques 12
- Imbalanced Data Classification Techniques 10
- Machine Learning and Data Classification 9
Molecular Biology 15

Co-authors: Bianca Zadrozny (8 shared papers)John Langford (3 shared papers)Hiroshi Mamitsuka (11 shared papers)Hang Li (8 shared papers)Yan Liu (3 shared papers)Manfred K. Warmuth (6 shared papers)Aurélie Lozano (9 shared papers)Atsuyoshi Nakamura (12 shared papers)
Journals: Machine Learning (3 papers)Modern Rheumatology (3 papers)Computational Linguistics (2 papers)Computer Networks (2 papers)Journal of Gastroenterology and Hepatology (2 papers)
Partner nations: Japan United States Brazil

In The Last Decade

Naoki Abe

106 papers receiving 3.1k citations

Naoki Abe's Hit Papers

align trajectories log scale

Cost-sensitive learning by cost-proportionate example weighting 2004 · 522 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2004 Cost-sensitive learning by cost-proportionate example weighting

Peers

Countries citing papers authored by Naoki Abe

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Naoki Abe Line = papers co-authored together Naoki Abe links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Cost-sensitive learning by cost-proportionate example weighting Bianca Zadrozny, John Langford, Naoki Abe Hit paper breakdown →	2004	522
2	Query Learning Strategies Using Boosting and Bagging International Conference on Machine Learning ·Naoki Abe, Hiroshi Mamitsuka	1998	264
3	Outlier detection by active learning Naoki Abe, Bianca Zadrozny, John Langford	2006	248
4	Temporal causal modeling with graphical granger methods Andrew O. Arnold, Yan Liu, Naoki Abe	2007	205
5	Generalizing Case Frames Using a Thesaurus and the MDL Principle Computational Linguistics ·Hang Li, Naoki Abe	1995	136
6	On the computational complexity of approximating distributions by probabilistic automata Conference on Learning Theory ·Naoki Abe, Manfred K. Warmuth	1990	120
7	Grouped graphical Granger modeling for gene expression regulatory networks discovery Bioinformatics ·Aurélie Lozano, Naoki Abe, Yan Liu, Saharon Rosset	2009	118
8	An iterative method for multi-class cost-sensitive learning Naoki Abe, Bianca Zadrozny, John Langford	2004	109
9	Collaborative Filtering Using Weighted Majority Prediction Algorithms International Conference on Machine Learning ·Atsuyoshi Nakamura, Naoki Abe	1998	108
10	A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction Hisashi Kashima, Naoki Abe	2006	102
11	Seasonal and interannual patterns of intertidal microphytobenthos in combination with laboratory and areal production estimates Marine Ecology Progress Series ·Stefania Montani, Paolo Magni, Naoki Abe	2003	88
12	Unintrusive customization techniques for Web advertising Computer Networks ·Marc Langheinrich, Atsuyoshi Nakamura, Naoki Abe, Tomonari Kamba, Yoshiyuki Koseki	1999	88
13	Spatial-temporal causal modeling for climate change attribution Aurélie Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, J. R. M. Hosking, Naoki Abe	2009	70
14	Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction Neural Information Processing Systems ·Grzegorz Świrszcz, Naoki Abe, Aurélie Lozano	2009	65
15	On the computational complexity of approximating distributions by probabilistic automata Machine Learning ·Naoki Abe, Manfred K. Warmuth	1992	56
16	Sequential cost-sensitive decision making with reinforcement learning Edwin Pednault, Naoki Abe, Bianca Zadrozny	2002	52
17	Optimizing debt collections using constrained reinforcement learning Naoki Abe, Prem Melville, Cezar Pendus, Chandan K. Reddy, David L. Jensen, Vince P. Thomas, James J. Bennett, Gary F. Anderson, Brent Cooley, Melissa Kowalczyk, Mark Domick, Timothy Gardinier	2010	52
18	Proximity-Based Anomaly Detection using Sparse Structure Learning Tsuyoshi Idé, Aurélie Lozano, Naoki Abe, Yan Liu	2009	49
19	Word clustering and disambiguation based on co-occurrence data Hang Li, Naoki Abe	1998	44
20	Predicting Protein Secondary Structure Using Stochastic Tree Grammars Machine Learning ·Naoki Abe, Hiroshi Mamitsuka	1997	41

About Naoki Abe

Naoki Abe is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Management Science and Operations Research and Information Systems, having authored 114 papers that have together received 3.3k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (28 papers), Algorithms and Data Compression (18 papers), Natural Language Processing Techniques (12 papers), Imbalanced Data Classification Techniques (10 papers), Data Mining Algorithms and Applications (9 papers), Machine Learning and Data Classification (9 papers), Consumer Market Behavior and Pricing (9 papers) and Optimization and Search Problems (7 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computational Mathematics (16 citations), Management Science and Operations Research (324 citations), Signal Processing (248 citations) and Statistics and Probability (165 citations). Naoki Abe has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Bianca Zadrozny, John Langford, Hiroshi Mamitsuka, Hang Li, Yan Liu, Manfred K. Warmuth, Aurélie Lozano, Atsuyoshi Nakamura, Andrew O. Arnold and Hisashi Kashima. Their work appears in journals such as Machine Learning, Modern Rheumatology, Computational Linguistics, Computer Networks and Journal of Gastroenterology and Hepatology.

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.

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Naoki Abe's Hit Papers

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About Naoki Abe

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