Naoki Abe

111 papers A* 39A 4B 11C 1Misc 1Journal 43Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDP.
CoRR
Xi Yang, Aurélie C. Lozano, Naoki Abe, Bhavya, Saurabh Jha, Noah Zheutlin, Rohan R. Arora, Yu Deng, Daby M. Sow
2025 — conf
Fragile Earth: Innovative AI For Climate Risk Mitigation.
KDD (2)
Emre Eftelioglu, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Kathleen Buckingham, Auroop R. Ganguly, James Hodson
2025 A* conf
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.
ICML
Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Jae-wook Ahn, Debanjana Kar, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri
2025 J jnl
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.
CoRR
Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Pavankumar Murali, Jae-wook Ahn, Debanjana Kar, Ameet Rahane, Carlos Fonseca, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri
2025 — conf
Practical Contextual Bandits for Large-Scale Structured Discrete Constrained Optimization Problems.
KDD (2)
Pavithra Harsha, Chitra Subramanian, Naoki Abe, Shivaram Subramanian, Amadou Ba, Kevin Arturo Fernández Román, Mauricio Longinos Garrido, Chandrasekhar Narayanaswami
2025 J jnl
Quantitative ultrasound augmented with machine learning to assess tissue microstructure during wound healing.
Biomed. Signal Process. Control.
David Lemonnier, Brandon J. Sumpio, Maxwell Crouse, Ikram Mezghani, Georgios Theocharidis, Margaret A. Jakus, Karen Rayappa, Naoki Abe, Kyongmin Yeo, Tengfei Ma, Samuel K. Sia, Aristidis Veves, Parag V. Chitnis
2025 J jnl
Sequential uncertainty quantification with contextual tensors for social targeting.
Knowl. Inf. Syst.
Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe
2024 J jnl
Directed Graph Transformers.
Trans. Mach. Learn. Res.
Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J. Zaki
2024 — conf
Fault Localization Using Interventional Causal Learning for Cloud-Native Applications.
DSN-S
Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz
2024 A* conf
Fragile Earth: Generative and Foundational Models for Sustainable Development.
KDD
Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
2024 A conf
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes.
AISTATS
Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu
2024 J jnl
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes.
CoRR
Dongxia Wu, Tsuyoshi Idé, Aurélie C. Lozano, Georgios Kollias, Jirí Navrátil, Naoki Abe, Yi-An Ma, Rose Yu
2024 B conf
SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration.
CLOUD
Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow
2024 J jnl
Single-pass top-
J. Complex Networks
Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Naoki Abe, Lior Horesh
2023 J jnl
Black-Box Anomaly Attribution.
CoRR
Tsuyoshi Idé, Naoki Abe
2023 Misc conf
Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks.
ICASSP
Yonas Sium, Georgios Kollias, Tsuyoshi Idé, Payel Das, Naoki Abe, Aurélie C. Lozano, Qi Li
2023 A* conf
Fault Injection Based Interventional Causal Learning for Distributed Applications.
AAAI
Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz
2023 A* conf
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.
KDD
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
2023 A* conf
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution.
KDD
Tsuyoshi Idé, Naoki Abe
2023 J jnl
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution.
CoRR
Tsuyoshi Idé, Naoki Abe
2023 J jnl
Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops.
BMC Bioinform.
Aurélie C. Lozano, Hantian Ding, Naoki Abe, Alexander E. Lipka
2022 A* conf
A fault injection platform for learning AIOps models.
ASE
Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang
2022 J jnl
Anomaly Attribution with Likelihood Compensation.
CoRR
Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe
2022 J jnl
Cardinality-Regularized Hawkes-Granger Model.
CoRR
Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
2022 A* conf
Directed Graph Auto-Encoders.
AAAI
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
2022 J jnl
Directed Graph Auto-Encoders.
CoRR
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
2022 A* conf
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice.
KDD
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu
2022 J jnl
Targeted Advertising on Social Networks Using Online Variational Tensor Regression.
CoRR
Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe
2021 A* conf
Anomaly Attribution with Likelihood Compensation.
AAAI
Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe
2021 A* conf
Cardinality-Regularized Hawkes-Granger Model.
NeurIPS
Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
2021 A* conf
Fragile Earth: Accelerating Progress towards Equitable Sustainability.
KDD
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan
2020 J jnl
Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery.
Frontiers Big Data
Naoki Abe, Huan Liu, Kuansan Wang
2018 B conf
Detecting and Counting Panicles in Sorghum Images.
DSAA
Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe
2018 — ed.
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018
IEEE BigData
Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz
2016 J jnl
Data Science for Food, Energy and Water: A Workshop Report.
SIGKDD Explor.
Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai
2014 J jnl
Multi-period marketing-mix optimization with response spike forecasting.
IBM J. Res. Dev.
Rikiya Takahashi, T. Yoshizumi, Hideyuki Mizuta, Naoki Abe, Ruby L. Kennedy, Vincent J. Jeffs, Ravi Shah, Robert H. Crites
2013 A* conf
Collective Response Spike Prediction for Mutually Interacting Consumers.
ICDM
Rikiya Takahashi, Hideyuki Mizuta, Naoki Abe, Ruby L. Kennedy, Vincent J. Jeffs, Ravi Shah, Robert H. Crites
2012 J jnl
Tax Collections Optimization for New York State.
Interfaces
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
2011 A conf
Group Orthogonal Matching Pursuit for Logistic Regression.
AISTATS
Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe
2011 — conf
Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning.
ICDM Workshops
Nan Li, Naoki Abe
2010 A* conf
Optimizing debt collections using constrained reinforcement learning.
KDD
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
2009 — conf
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction.
NIPS
Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe
2009 J jnl
Grouped graphical Granger modeling for gene expression regulatory networks discovery.
Bioinform.
Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
2009 A* conf
Grouped graphical Granger modeling methods for temporal causal modeling.
KDD
Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
2009 A conf
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
SDM
Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe, Yan Liu
2009 A* conf
Spatial-temporal causal modeling for climate change attribution.
KDD
Aurélie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe
2008 A* conf
Multi-class cost-sensitive boosting with p-norm loss functions.
KDD
Aurélie C. Lozano, Naoki Abe
2007 J jnl
Active ensemble learning: Application to data mining and bioinformatics.
Syst. Comput. Jpn.
Hiroshi Mamitsuka, Naoki Abe
2007 J jnl
On optimizing the selection of business transformation projects.
IBM Syst. J.
Naoki Abe, Rama Akkiraju, Stephen J. Buckley, Markus Ettl, Pu Huang, Dharmashankar Subramanian, Fateh Tipu
2007 A* conf
Temporal causal modeling with graphical granger methods.
KDD
Andrew Arnold, Yan Liu, Naoki Abe
2006 A* conf
A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction.
ICDM
Hisashi Kashima, Naoki Abe
2006 A* conf
Outlier detection by active learning.
KDD
Naoki Abe, Bianca Zadrozny, John Langford
2006 C conf
Using secure coprocessors for privacy preserving collaborative data mining and analysis.
DaMoN
Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth A. Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté
2005 — conf
Business Performance Management System for CRM and Sales Execution.
DEXA Workshops
Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe
2005 J jnl
Improvements to the Linear Programming Based Scheduling of Web Advertisements.
Electron. Commer. Res.
Atsuyoshi Nakamura, Naoki Abe
2004 A* conf
An iterative method for multi-class cost-sensitive learning.
KDD
Naoki Abe, Bianca Zadrozny, John Langford
2004 A* conf
Cross channel optimized marketing by reinforcement learning.
KDD
Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko
2004 J jnl
Foreword.
Theor. Comput. Sci.
Naoki Abe, Roni Khardon
2003 A* conf
Cost-Sensitive Learning by Cost-Proportionate Example Weighting.
ICDM
Bianca Zadrozny, John Langford, Naoki Abe
2003 J jnl
Reinforcement Learning with Immediate Rewards and Linear Hypotheses.
Algorithmica
Naoki Abe, Alan W. Biermann, Philip M. Long
2002 — conf
Efficient Data Mining by Active Learning.
Progress in Discovery Science
Hiroshi Mamitsuka, Naoki Abe
2002 A* conf
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.
ICDM
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté
2002 J jnl
Online Learning of Binary and n-ary Relations over Clustered Domains.
J. Comput. Syst. Sci.
Atsuyoshi Nakamura, Naoki Abe
2002 A* conf
Sequential cost-sensitive decision making with reinforcement learning.
KDD
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
2001 B ed.
Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001, Proceedings
ALT
Naoki Abe, Roni Khardon, Thomas Zeugmann
2001 B conf
Editors' Introduction.
ALT
Naoki Abe, Roni Khardon, Thomas Zeugmann
2000 J jnl
A Web marketing system with automatic pricing.
Comput. Networks
Naoki Abe, Tomonari Kamba
2000 A* conf
Automatic recording agent for digital video server.
ACM Multimedia
Atsuyoshi Nakamura, Naoki Abe, Hiroshi Matoba, Katsuhiro Ochiai
2000 A* conf
Efficient Mining from Large Databases by Query Learning.
ICML
Hiroshi Mamitsuka, Naoki Abe
2000 J jnl
The Lob-Pass Problem.
J. Comput. Syst. Sci.
Jun'ichi Takeuchi, Naoki Abe, Shun-ichi Amari
1999 A* conf
Associative Reinforcement Learning using Linear Probabilistic Concepts.
ICML
Naoki Abe, Philip M. Long
1999 J jnl
Learning Dependencies between Case Frame Slots.
Comput. Linguistics
Hang Li, Naoki Abe
1999 A* conf
Learning to Optimally Schedule Internet Banner Advertisements.
ICML
Naoki Abe, Atsuyoshi Nakamura
1999 J jnl
Unintrusive Customization Techniques for Web Advertising.
Comput. Networks
Marc Langheinrich, Atsuyoshi Nakamura, Naoki Abe, Tomonari Kamba, Yoshiyuki Koseki
1998 A* conf
Collaborative Filtering Using Weighted Majority Prediction Algorithms.
ICML
Atsuyoshi Nakamura, Naoki Abe
1998 J jnl
Efficient Distribution-Free Population Learning of Simple Concepts.
Ann. Math. Artif. Intell.
Atsuyoshi Nakamura, Jun'ichi Takeuchi, Naoki Abe
1998 B conf
Empirical Comparison of Competing Query Learning Methods.
Discovery Science
Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura
1998 J jnl
Generalizing Case Frames Using a Thesaurus and the MDL Principle.
Comput. Linguistics
Hang Li, Naoki Abe
1998 A* conf
Query Learning Strategies Using Boosting and Bagging.
ICML
Naoki Abe, Hiroshi Mamitsuka
1998 — conf
Word Clustering and Disambiguation Based on Co-occurence Data.
COLING-ACL
Hang Li, Naoki Abe
1998 J jnl
Word Clustering and Disambiguation Based on Co-occurrence Data
CoRR
Hang Li, Naoki Abe
1997 J jnl
Predicting Protein Secondary Structure Using Stochastic Tree Grammars.
Mach. Learn.
Naoki Abe, Hiroshi Mamitsuka
1997 J jnl
Towards Realistic Theories of Learning.
New Gener. Comput.
Naoki Abe
1996 J jnl
Clustering Words with the MDL Principle
CoRR
Hang Li, Naoki Abe
1996 B conf
Clustering Words with the MDL Principle.
COLING
Hang Li, Naoki Abe
1996 J jnl
Learning Dependencies between Case Frame Slots
CoRR
Hang Li, Naoki Abe
1996 B conf
Learning Dependencies between Case Frame Slots.
COLING
Hang Li, Naoki Abe
1996 J jnl
Learning Word Association Norms Using Tree Cut Pair Models
CoRR
Naoki Abe, Hang Li
1996 A* conf
Learning Word Association Norms Using Tree Cut Pair Models.
ICML
Naoki Abe, Hang Li
1995 J jnl
Characterizing PAC-Learnability of Semilinear Sets
Inf. Comput.
Naoki Abe
1995 J jnl
Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries.
Theor. Comput. Sci.
Atsuyoshi Nakamura, Naoki Abe
1995 J jnl
Generalizing Case Frames Using a Thesaurus and the MDL Principle
CoRR
Hang Li, Naoki Abe
1995 J jnl
On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms
CoRR
Naoki Abe, Hang Li, Atsuyoshi Nakamura
1995 A* conf
On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms.
ICML
Naoki Abe, Hang Li, Atsuyoshi Nakamura
1995 A* conf
On-line Learning of Binary and
COLT
Atsuyoshi Nakamura, Naoki Abe
1994 A* conf
A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars.
ICML
Naoki Abe, Hiroshi Mamitsuka
1994 — conf
Efficient Distribution-free Population Learning of Simple Concepts.
AII/ALT
Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi
1994 A conf
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars.
ISMB
Hiroshi Mamitsuka, Naoki Abe
1994 — conf
Towards Realistic Theories of Learning.
AII/ALT
Naoki Abe
1993 B conf
Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries.
ALT
Atsuyoshi Nakamura, Naoki Abe
1993 A* conf
The "lob-pass" Problem and an On-line Learning Model of Rational Choice.
COLT
Naoki Abe, Jun'ichi Takeuchi
1992 J jnl
On the Computational Complexity of Approximating Distributions by Probabilistic Automata.
Mach. Learn.
Naoki Abe, Manfred K. Warmuth
1991 J jnl
Learning Commutative Deterministic Finite State Automata in Polynomial Time.
New Gener. Comput.
Naoki Abe
1991 — conf
On the Sample Complexity of Various Learning Strategies in the Probabilistic PAC Learning Paradigms.
Nonmonotonic and Inductive Logic
Naoki Abe
1991 A* conf
Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence.
COLT
Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi
1991 B conf
Preservation of predictability under polynomial sparse variations and its applications.
ALT
Naoki Abe
1990 B conf
Learning Commutative Deterministic Finite State Automata in Polynomial Time.
ALT
Naoki Abe
1990 A* conf
On the Computational Complexity of Approximating Distributions by Probabilistic Automata.
COLT
Naoki Abe, Manfred K. Warmuth
1989 A* conf
Polynomial Learnability of Semilinear Sets.
COLT
Naoki Abe
1988 B conf
Feasible learnability of formal grammars and the theory of natural language acquisition.
COLING
Naoki Abe
1988 A* conf
Polynominal Learnability and Locality of Formal Grammars.
ACL
Naoki Abe