Naoki Abe

According to our database, Naoki Abe authored at least 85 papers between 1988 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Directed Graph Transformers.

Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J. Zaki

Trans. Mach. Learn. Res., 2024

Fragile Earth: Generative and Foundational Models for Sustainable Development.

Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fault Localization Using Interventional Causal Learning for Cloud-Native Applications.

Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes.

Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration.

Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023

Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops.

Aurélie C. Lozano, Hantian Ding, Naoki Abe, Alexander E. Lipka

BMC Bioinform., December, 2023

Black-Box Anomaly Attribution.

Tsuyoshi Idé, Naoki Abe

CoRR, 2023

Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution.

Tsuyoshi Idé, Naoki Abe

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.

Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks.

Yonas Sium, Georgios Kollias, Tsuyoshi Idé, Payel Das, Naoki Abe, Aurélie C. Lozano, Qi Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Fault Injection Based Interventional Causal Learning for Distributed Applications.

Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Targeted Advertising on Social Networks Using Online Variational Tensor Regression.

Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe

CoRR, 2022

Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice.

Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A fault injection platform for learning AIOps models.

Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Directed Graph Auto-Encoders.

Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Cardinality-Regularized Hawkes-Granger Model.

Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fragile Earth: Accelerating Progress towards Equitable Sustainability.

Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Anomaly Attribution with Likelihood Compensation.

Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery.

Naoki Abe, Huan Liu, Kuansan Wang

Frontiers Big Data, 2020

2018

Detecting and Counting Panicles in Sorghum Images.

Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2016

Data Science for Food, Energy and Water: A Workshop Report.

Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai

SIGKDD Explor., 2016

2014

Multi-period marketing-mix optimization with response spike forecasting.

Rikiya Takahashi, T. Yoshizumi, Hideyuki Mizuta, Naoki Abe, Ruby L. Kennedy, Vincent J. Jeffs, Ravi Shah, Robert H. Crites

IBM J. Res. Dev., 2014

2013

Collective Response Spike Prediction for Mutually Interacting Consumers.

Rikiya Takahashi, Hideyuki Mizuta, Naoki Abe, Ruby L. Kennedy, Vincent J. Jeffs, Ravi Shah, Robert H. Crites

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Tax Collections Optimization for New York State.

Gerard Miller, Melissa Weatherwax, Timothy Gardinier, Naoki Abe, Prem Melville, Cezar Pendus, David L. Jensen, Chandan K. Reddy, Vince P. Thomas, James J. Bennett, Gary F. Anderson, Brent R. Cooley

Interfaces, 2012

2011

Group Orthogonal Matching Pursuit for Logistic Regression.

Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning.

Nan Li, Naoki Abe

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

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 R. Cooley, Melissa Kowalczyk, Mark Domick, Timothy Gardinier

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Grouped graphical Granger modeling for gene expression regulatory networks discovery.

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

Bioinform., 2009

Proximity-Based Anomaly Detection Using Sparse Structure Learning.

Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe, Yan Liu

Proceedings of the SIAM International Conference on Data Mining, 2009

Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction.

Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Spatial-temporal causal modeling for climate change attribution.

Aurélie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Grouped graphical Granger modeling methods for temporal causal modeling.

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

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Multi-class cost-sensitive boosting with p-norm loss functions.

Aurélie C. Lozano, Naoki Abe

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Active ensemble learning: Application to data mining and bioinformatics.

Hiroshi Mamitsuka, Naoki Abe

Syst. Comput. Jpn., 2007

On optimizing the selection of business transformation projects.

Naoki Abe, Rama Akkiraju, Stephen J. Buckley, Markus Ettl, Pu Huang, Dharmashankar Subramanian, Fateh Tipu

IBM Syst. J., 2007

Temporal causal modeling with graphical granger methods.

Andrew Arnold, Yan Liu, Naoki Abe

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006

Outlier detection by active learning.

Naoki Abe, Bianca Zadrozny, John Langford

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

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

Hisashi Kashima, Naoki Abe

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Using secure coprocessors for privacy preserving collaborative data mining and analysis.

Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth A. Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté

Proceedings of the Workshop on Data Management on New Hardware, 2006

2005

Improvements to the Linear Programming Based Scheduling of Web Advertisements.

Atsuyoshi Nakamura, Naoki Abe

Electron. Commer. Res., 2005

Business Performance Management System for CRM and Sales Execution.

Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe

Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

2004

Foreword.

Naoki Abe, Roni Khardon

Theor. Comput. Sci., 2004

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

Naoki Abe, Bianca Zadrozny, John Langford

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Cross channel optimized marketing by reinforcement learning.

Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Reinforcement Learning with Immediate Rewards and Linear Hypotheses.

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

Algorithmica, 2003

Cost-Sensitive Learning by Cost-Proportionate Example Weighting.

Bianca Zadrozny, John Langford, Naoki Abe

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

Online Learning of Binary and n-ary Relations over Clustered Domains.

Atsuyoshi Nakamura, Naoki Abe

J. Comput. Syst. Sci., 2002

Sequential cost-sensitive decision making with reinforcement learning.

Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.

Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Efficient Data Mining by Active Learning.

Hiroshi Mamitsuka, Naoki Abe

Proceedings of the Progress in Discovery Science, 2002

2001

Editors' Introduction.

Naoki Abe, Roni Khardon, Thomas Zeugmann

Proceedings of the Algorithmic Learning Theory, 12th International Conference, 2001

2000

The Lob-Pass Problem.

Jun'ichi Takeuchi, Naoki Abe, Shun-ichi Amari

J. Comput. Syst. Sci., 2000

A Web marketing system with automatic pricing.

Naoki Abe, Tomonari Kamba

Comput. Networks, 2000

Automatic recording agent for digital video server.

Atsuyoshi Nakamura, Naoki Abe, Hiroshi Matoba, Katsuhiro Ochiai

Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000

Efficient Mining from Large Databases by Query Learning.

Hiroshi Mamitsuka, Naoki Abe

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Learning Dependencies between Case Frame Slots.

Hang Li, Naoki Abe

Comput. Linguistics, 1999

Unintrusive Customization Techniques for Web Advertising.

Marc Langheinrich, Atsuyoshi Nakamura, Naoki Abe, Tomonari Kamba, Yoshiyuki Koseki

Comput. Networks, 1999

Learning to Optimally Schedule Internet Banner Advertisements.

Naoki Abe, Atsuyoshi Nakamura

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Associative Reinforcement Learning using Linear Probabilistic Concepts.

Naoki Abe, Philip M. Long

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

Word Clustering and Disambiguation Based on Co-occurrence Data

Hang Li, Naoki Abe

CoRR, 1998

Generalizing Case Frames Using a Thesaurus and the MDL Principle.

Hang Li, Naoki Abe

Comput. Linguistics, 1998

Efficient Distribution-Free Population Learning of Simple Concepts.

Atsuyoshi Nakamura, Jun'ichi Takeuchi, Naoki Abe

Ann. Math. Artif. Intell., 1998

Collaborative Filtering Using Weighted Majority Prediction Algorithms.

Atsuyoshi Nakamura, Naoki Abe

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Query Learning Strategies Using Boosting and Bagging.

Naoki Abe, Hiroshi Mamitsuka

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Empirical Comparison of Competing Query Learning Methods.

Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura

Proceedings of the Discovery Science, 1998

Word Clustering and Disambiguation Based on Co-occurence Data.

Hang Li, Naoki Abe

Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998

1997

Towards Realistic Theories of Learning.

Naoki Abe

New Gener. Comput., 1997

Predicting Protein Secondary Structure Using Stochastic Tree Grammars.

Naoki Abe, Hiroshi Mamitsuka

Mach. Learn., 1997

1996

Learning Word Association Norms Using Tree Cut Pair Models.

Naoki Abe, Hang Li

Proceedings of the Machine Learning, 1996

Clustering Words with the MDL Principle.

Hang Li, Naoki Abe

Proceedings of the 16th International Conference on Computational Linguistics, 1996

1995

Characterizing PAC-Learnability of Semilinear Sets

Naoki Abe

Inf. Comput., January, 1995

Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries.

Atsuyoshi Nakamura, Naoki Abe

Theor. Comput. Sci., 1995

On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms.

Naoki Abe, Hang Li, Atsuyoshi Nakamura

Proceedings of the Machine Learning, 1995

On-line Learning of Binary and <i>n</i>-ary Relations over Multi-dimensional Clusters.

Atsuyoshi Nakamura, Naoki Abe

Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994

Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars.

Hiroshi Mamitsuka, Naoki Abe

Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, 1994

A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars.

Naoki Abe, Hiroshi Mamitsuka

Proceedings of the Machine Learning, 1994

1993

The "lob-pass" Problem and an On-line Learning Model of Rational Choice.

Naoki Abe, Jun'ichi Takeuchi

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

1992

On the Computational Complexity of Approximating Distributions by Probabilistic Automata.

Naoki Abe, Manfred K. Warmuth

Mach. Learn., 1992

1991

Learning Commutative Deterministic Finite State Automata in Polynomial Time.

Naoki Abe

New Gener. Comput., 1991

On the Sample Complexity of Various Learning Strategies in the Probabilistic PAC Learning Paradigms.

Naoki Abe

Proceedings of the Nonmonotonic and Inductive Logic, 1991

Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence.

Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi

Proceedings of the Fourth Annual Workshop on Computational Learning Theory, 1991

Preservation of predictability under polynomial sparse variations and its applications.

Naoki Abe

Proceedings of the Algorithmic Learning Theory, 2nd International Workshop, 1991

1989

Polynomial Learnability of Semilinear Sets.

Naoki Abe

Proceedings of the Second Annual Workshop on Computational Learning Theory, 1989

1988

Feasible learnability of formal grammars and the theory of natural language acquisition.

Naoki Abe

Proceedings of the 12th International Conference on Computational Linguistics, 1988

Polynominal Learnability and Locality of Formal Grammars.

Naoki Abe

Proceedings of the 26th Annual Meeting of the Association for Computational Linguistics, 1988