Naoki Abe

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 24

Top Topics

Targeted Advertising

Top Venues

Publications

Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD (2024)
Dongxia Wu, Tsuyoshi Idé, Aurélie C. Lozano, Georgios Kollias, Jirí Navrátil, Naoki Abe, Yi-An Ma, Rose Yu
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. CoRR (2024)
Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. AISTATS (2024)
Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J. Zaki
Directed Graph Transformers. Trans. Mach. Learn. Res. 2024 (2024)
Tsuyoshi Idé, Naoki Abe
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. KDD (2023)
Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz
Fault Injection Based Interventional Causal Learning for Distributed Applications. AAAI (2023)
Tsuyoshi Idé, Naoki Abe
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. CoRR (2023)
Tsuyoshi Idé, Naoki Abe
Black-Box Anomaly Attribution. CoRR (2023)
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
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD (2023)
Aurélie C. Lozano, Hantian Ding, Naoki Abe, Alexander E. Lipka
Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops. BMC Bioinform. 24 (1) (2023)
Yonas Sium, Georgios Kollias, Tsuyoshi Idé, Payel Das, Naoki Abe, Aurélie C. Lozano, Qi Li
Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks. ICASSP (2023)
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
Directed Graph Auto-Encoders. CoRR (2022)
Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe
Targeted Advertising on Social Networks Using Online Variational Tensor Regression. CoRR (2022)
Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang
A fault injection platform for learning AIOps models. ASE (2022)
Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
Cardinality-Regularized Hawkes-Granger Model. CoRR (2022)
Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe
Anomaly Attribution with Likelihood Compensation. CoRR (2022)
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. KDD (2022)
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
Directed Graph Auto-Encoders. AAAI (2022)
Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
Cardinality-Regularized Hawkes-Granger Model. NeurIPS (2021)
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan
Fragile Earth: Accelerating Progress towards Equitable Sustainability. KDD (2021)
Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe
Anomaly Attribution with Likelihood Compensation. AAAI (2021)
Naoki Abe, Huan Liu, Kuansan Wang
Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery. Frontiers Big Data 3 (2020)
Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe
Detecting and Counting Panicles in Sorghum Images. DSAA (2018)
Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai
Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. 18 (2) (2016)
Rikiya Takahashi, T. Yoshizumi, Hideyuki Mizuta, Naoki Abe, Ruby L. Kennedy, Vincent J. Jeffs, Ravi Shah, Robert H. Crites
Multi-period marketing-mix optimization with response spike forecasting. IBM J. Res. Dev. 58 (5/6) (2014)
Rikiya Takahashi, Hideyuki Mizuta, Naoki Abe, Ruby L. Kennedy, Vincent J. Jeffs, Ravi Shah, Robert H. Crites
Collective Response Spike Prediction for Mutually Interacting Consumers. ICDM (2013)
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
Tax Collections Optimization for New York State. Interfaces 42 (1) (2012)
Aurelie C. Lozano, Grzegorz Swirszcz, Naoki Abe
Group Orthogonal Matching Pursuit for Logistic Regression. AISTATS (2011)
Nan Li, Naoki Abe
Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning. ICDM Workshops (2011)
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
Optimizing debt collections using constrained reinforcement learning. KDD (2010)
Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe
Spatial-temporal causal modeling for climate change attribution. KDD (2009)
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
Grouped graphical Granger modeling methods for temporal causal modeling. KDD (2009)
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe, Yan Liu
Proximity-Based Anomaly Detection Using Sparse Structure Learning. SDM (2009)
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
Grouped graphical Granger modeling for gene expression regulatory networks discovery. Bioinform. 25 (12) (2009)
Aurelie C. Lozano, Grzegorz Swirszcz, Naoki Abe
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction. NIPS (2009)
Aurelie C. Lozano, Naoki Abe
Multi-class cost-sensitive boosting with p-norm loss functions. KDD (2008)
Andrew Arnold, Yan Liu, Naoki Abe
Temporal causal modeling with graphical granger methods. KDD (2007)
Naoki Abe, Rama Akkiraju, Stephen J. Buckley, Markus Ettl, Pu Huang, Dharmashankar Subramanian, Fateh Tipu
On optimizing the selection of business transformation projects. IBM Syst. J. 46 (4) (2007)
Hiroshi Mamitsuka, Naoki Abe
Active ensemble learning: Application to data mining and bioinformatics. Systems and Computers in Japan 38 (11) (2007)
Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth A. Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté
Using secure coprocessors for privacy preserving collaborative data mining and analysis. DaMoN (2006)
Hisashi Kashima, Naoki Abe
A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. ICDM (2006)
Naoki Abe, Bianca Zadrozny, John Langford
Outlier detection by active learning. KDD (2006)
Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe
Business Performance Management System for CRM and Sales Execution. DEXA Workshops (2005)
Atsuyoshi Nakamura, Naoki Abe
Improvements to the Linear Programming Based Scheduling of Web Advertisements. Electron. Commer. Res. 5 (1) (2005)
Naoki Abe, Roni Khardon
Foreword. Theor. Comput. Sci. 313 (2) (2004)
Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko
Cross channel optimized marketing by reinforcement learning. KDD (2004)
Naoki Abe, Bianca Zadrozny, John Langford
An iterative method for multi-class cost-sensitive learning. KDD (2004)
Bianca Zadrozny, John Langford, Naoki Abe
Cost-Sensitive Learning by Cost-Proportionate Example Weighting. ICDM (2003)
Naoki Abe, Alan W. Biermann, Philip M. Long
Reinforcement Learning with Immediate Rewards and Linear Hypotheses. Algorithmica 37 (4) (2003)
Atsuyoshi Nakamura, Naoki Abe
Online Learning of Binary and n-ary Relations over Clustered Domains. J. Comput. Syst. Sci. 65 (2) (2002)
Hiroshi Mamitsuka, Naoki Abe
Efficient Data Mining by Active Learning. Progress in Discovery Science (2002)
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
Sequential cost-sensitive decision making with reinforcement learning. KDD (2002)
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. ICDM (2002)
Naoki Abe, Roni Khardon, Thomas Zeugmann
Editors' Introduction. ALT (2001)
Naoki Abe, Tomonari Kamba
A Web marketing system with automatic pricing. Comput. Networks 33 (1-6) (2000)
Jun'ichi Takeuchi, Naoki Abe, Shun-ichi Amari
The Lob-Pass Problem. J. Comput. Syst. Sci. 61 (3) (2000)
Atsuyoshi Nakamura, Naoki Abe, Hiroshi Matoba, Katsuhiro Ochiai
Automatic recording agent for digital video server. ACM Multimedia (2000)
Hiroshi Mamitsuka, Naoki Abe
Efficient Mining from Large Databases by Query Learning. ICML (2000)
Hang Li, Naoki Abe
Learning Dependencies between Case Frame Slots. Comput. Linguistics 25 (2) (1999)
Naoki Abe, Philip M. Long
Associative Reinforcement Learning using Linear Probabilistic Concepts. ICML (1999)
Naoki Abe, Atsuyoshi Nakamura
Learning to Optimally Schedule Internet Banner Advertisements. ICML (1999)
Marc Langheinrich, Atsuyoshi Nakamura, Naoki Abe, Tomonari Kamba, Yoshiyuki Koseki
Unintrusive Customization Techniques for Web Advertising. Comput. Networks 31 (11-16) (1999)
Atsuyoshi Nakamura, Jun'ichi Takeuchi, Naoki Abe
Efficient Distribution-Free Population Learning of Simple Concepts. Ann. Math. Artif. Intell. 23 (1-2) (1998)
Hang Li, Naoki Abe
Word Clustering and Disambiguation Based on Co-occurrence Data CoRR (1998)
Hang Li, Naoki Abe
Word Clustering and Disambiguation Based on Co-occurence Data. COLING-ACL (1998)
Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura
Empirical Comparison of Competing Query Learning Methods. Discovery Science (1998)
Atsuyoshi Nakamura, Naoki Abe
Collaborative Filtering Using Weighted Majority Prediction Algorithms. ICML (1998)
Naoki Abe, Hiroshi Mamitsuka
Query Learning Strategies Using Boosting and Bagging. ICML (1998)
Hang Li, Naoki Abe
Generalizing Case Frames Using a Thesaurus and the MDL Principle. Comput. Linguistics 24 (2) (1998)
Naoki Abe, Hiroshi Mamitsuka
Predicting Protein Secondary Structure Using Stochastic Tree Grammars. Mach. Learn. 29 (2-3) (1997)
Naoki Abe
Towards Realistic Theories of Learning. New Gener. Comput. 15 (1) (1997)
Naoki Abe, Hang Li
Learning Word Association Norms Using Tree Cut Pair Models CoRR (1996)
Hang Li, Naoki Abe
Clustering Words with the MDL Principle CoRR (1996)
Hang Li, Naoki Abe
Learning Dependencies between Case Frame Slots. COLING (1996)
Hang Li, Naoki Abe
Learning Dependencies between Case Frame Slots CoRR (1996)
Naoki Abe, Hang Li
Learning Word Association Norms Using Tree Cut Pair Models. ICML (1996)
Hang Li, Naoki Abe
Clustering Words with the MDL Principle. COLING (1996)
Hang Li, Naoki Abe
Generalizing Case Frames Using a Thesaurus and the MDL Principle CoRR (1995)
Naoki Abe, Hang Li, Atsuyoshi Nakamura
On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. ICML (1995)
Atsuyoshi Nakamura, Naoki Abe
-ary Relations over Multi-dimensional Clusters. COLT (1995)
Naoki Abe, Hang Li, Atsuyoshi Nakamura
On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms CoRR (1995)
Naoki Abe
Characterizing PAC-Learnability of Semilinear Sets Inf. Comput. 116 (1) (1995)
Atsuyoshi Nakamura, Naoki Abe
Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. Theor. Comput. Sci. 137 (1) (1995)
Naoki Abe, Hiroshi Mamitsuka
A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. ICML (1994)
Naoki Abe
Towards Realistic Theories of Learning. AII/ALT (1994)
Hiroshi Mamitsuka, Naoki Abe
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars. ISMB (1994)
Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi
Efficient Distribution-free Population Learning of Simple Concepts. AII/ALT (1994)
Naoki Abe, Jun'ichi Takeuchi
The "lob-pass" Problem and an On-line Learning Model of Rational Choice. COLT (1993)
Atsuyoshi Nakamura, Naoki Abe
Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. ALT (1993)
Naoki Abe, Manfred K. Warmuth
On the Computational Complexity of Approximating Distributions by Probabilistic Automata. Mach. Learn. 9 (1992)
Naoki Abe
Preservation of predictability under polynomial sparse variations and its applications. ALT (1991)
Naoki Abe
Learning Commutative Deterministic Finite State Automata in Polynomial Time. New Gener. Comput. 8 (4) (1991)
Naoki Abe
On the Sample Complexity of Various Learning Strategies in the Probabilistic PAC Learning Paradigms. Nonmonotonic and Inductive Logic (1991)
Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi
Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. COLT (1991)
Naoki Abe
Learning Commutative Deterministic Finite State Automata in Polynomial Time. ALT (1990)
Naoki Abe, Manfred K. Warmuth
On the Computational Complexity of Approximating Distributions by Probabilistic Automata. COLT (1990)
Naoki Abe
Polynomial Learnability of Semilinear Sets. COLT (1989)
Naoki Abe
Polynominal Learnability and Locality of Formal Grammars. ACL (1988)
Naoki Abe
Feasible learnability of formal grammars and the theory of natural language acquisition. COLING (1988)