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2020 – today
- 2024
[j25]Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J. Zaki:
Directed Graph Transformers. Trans. Mach. Learn. Res. 2024 (2024)- [c63]Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow:
SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration. CLOUD 2024: 291-301 - [c62]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: 415-423 - [c61]Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz:
Fault Localization Using Interventional Causal Learning for Cloud-Native Applications. DSN-S 2024: 141-147 - [c60]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: 6710-6711 - [i13]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 abs/2402.03726 (2024) - 2023
- [j24]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): 399 (2023) - [c59]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: 15738-15744 - [c58]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: 1-5 - [c57]Tsuyoshi Idé, Naoki Abe:
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. KDD 2023: 845-856 - [c56]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: 5845-5846 - [i12]Tsuyoshi Idé, Naoki Abe:
Black-Box Anomaly Attribution. CoRR abs/2305.18440 (2023) - [i11]Tsuyoshi Idé, Naoki Abe:
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. CoRR abs/2308.04708 (2023) - 2022
- [c55]Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe:
Directed Graph Auto-Encoders. AAAI 2022: 7211-7219 - [c54]Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang:
A fault injection platform for learning AIOps models. ASE 2022: 130:1-130:5 - [c53]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: 4866-4867 - [i10]Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe:
Directed Graph Auto-Encoders. CoRR abs/2202.12449 (2022) - [i9]Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe:
Targeted Advertising on Social Networks Using Online Variational Tensor Regression. CoRR abs/2208.10627 (2022) - [i8]Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe:
Cardinality-Regularized Hawkes-Granger Model. CoRR abs/2208.10671 (2022) - [i7]Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe:
Anomaly Attribution with Likelihood Compensation. CoRR abs/2208.10679 (2022) - 2021
- [c52]Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe:
Anomaly Attribution with Likelihood Compensation. AAAI 2021: 4131-4138 - [c51]Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan:
Fragile Earth: Accelerating Progress towards Equitable Sustainability. KDD 2021: 4102-4103 - [c50]Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe:
Cardinality-Regularized Hawkes-Granger Model. NeurIPS 2021: 2682-2694 - 2020
- [j23]Naoki Abe, Huan Liu, Kuansan Wang:
Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery. Frontiers Big Data 3: 637906 (2020)
2010 – 2019
- 2018
- [c49]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: 400-409 - [e2]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:
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018. IEEE 2018, ISBN 978-1-5386-5035-6 [contents] - 2016
- [j22]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): 1-4 (2016) - 2014
- [j21]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) - 2013
- [c48]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: 727-736 - 2012
- [j20]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): 74-84 (2012) - 2011
- [c47]Nan Li, Naoki Abe:
Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning. ICDM Workshops 2011: 259-266 - [c46]Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe:
Group Orthogonal Matching Pursuit for Logistic Regression. AISTATS 2011: 452-460 - 2010
- [c45]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: 75-84
2000 – 2009
- 2009
- [j19]Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset:
Grouped graphical Granger modeling for gene expression regulatory networks discovery. Bioinform. 25(12) (2009) - [c44]Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset:
Grouped graphical Granger modeling methods for temporal causal modeling. KDD 2009: 577-586 - [c43]Aurélie 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: 587-596 - [c42]Aurélie C. Lozano, Grzegorz Swirszcz, Naoki Abe:
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction. NIPS 2009: 1150-1158 - [c41]Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe, Yan Liu:
Proximity-Based Anomaly Detection Using Sparse Structure Learning. SDM 2009: 97-108 - 2008
- [c40]Aurélie C. Lozano, Naoki Abe:
Multi-class cost-sensitive boosting with p-norm loss functions. KDD 2008: 506-514 - 2007
- [j18]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): 777-795 (2007) - [j17]Hiroshi Mamitsuka, Naoki Abe:
Active ensemble learning: Application to data mining and bioinformatics. Syst. Comput. Jpn. 38(11): 100-108 (2007) - [c39]Andrew Arnold, Yan Liu, Naoki Abe:
Temporal causal modeling with graphical granger methods. KDD 2007: 66-75 - 2006
- [c38]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: 1 - [c37]Hisashi Kashima, Naoki Abe:
A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. ICDM 2006: 340-349 - [c36]Naoki Abe, Bianca Zadrozny, John Langford:
Outlier detection by active learning. KDD 2006: 504-509 - 2005
- [j16]Atsuyoshi Nakamura, Naoki Abe:
Improvements to the Linear Programming Based Scheduling of Web Advertisements. Electron. Commer. Res. 5(1): 75-98 (2005) - [c35]Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe:
Business Performance Management System for CRM and Sales Execution. DEXA Workshops 2005: 908-913 - 2004
- [j15]Naoki Abe, Roni Khardon:
Foreword. Theor. Comput. Sci. 313(2): 173-174 (2004) - [c34]Naoki Abe, Bianca Zadrozny, John Langford:
An iterative method for multi-class cost-sensitive learning. KDD 2004: 3-11 - [c33]Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko:
Cross channel optimized marketing by reinforcement learning. KDD 2004: 767-772 - 2003
- [j14]Naoki Abe, Alan W. Biermann, Philip M. Long:
Reinforcement Learning with Immediate Rewards and Linear Hypotheses. Algorithmica 37(4): 263-293 (2003) - [c32]Bianca Zadrozny, John Langford, Naoki Abe:
Cost-Sensitive Learning by Cost-Proportionate Example Weighting. ICDM 2003: 435- - 2002
- [j13]Atsuyoshi Nakamura, Naoki Abe:
Online Learning of Binary and n-ary Relations over Clustered Domains. J. Comput. Syst. Sci. 65(2): 224-256 (2002) - [c31]Hiroshi Mamitsuka, Naoki Abe:
Efficient Data Mining by Active Learning. Progress in Discovery Science 2002: 258-267 - [c30]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: 3-10 - [c29]Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny:
Sequential cost-sensitive decision making with reinforcement learning. KDD 2002: 259-268 - 2001
- [c28]Naoki Abe, Roni Khardon, Thomas Zeugmann:
Editors' Introduction. ALT 2001: 1-8 - [e1]Naoki Abe, Roni Khardon, Thomas Zeugmann:
Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001, Proceedings. Lecture Notes in Computer Science 2225, Springer 2001, ISBN 3-540-42875-5 [contents] - 2000
- [j12]Naoki Abe, Tomonari Kamba:
A Web marketing system with automatic pricing. Comput. Networks 33(1-6): 775-788 (2000) - [j11]Jun'ichi Takeuchi, Naoki Abe, Shun-ichi Amari:
The Lob-Pass Problem. J. Comput. Syst. Sci. 61(3): 523-557 (2000) - [c27]Hiroshi Mamitsuka, Naoki Abe:
Efficient Mining from Large Databases by Query Learning. ICML 2000: 575-582 - [c26]Atsuyoshi Nakamura, Naoki Abe, Hiroshi Matoba, Katsuhiro Ochiai:
Automatic recording agent for digital video server. ACM Multimedia 2000: 57-66
1990 – 1999
- 1999
- [j10]Marc Langheinrich, Atsuyoshi Nakamura, Naoki Abe, Tomonari Kamba, Yoshiyuki Koseki:
Unintrusive Customization Techniques for Web Advertising. Comput. Networks 31(11-16): 1259-1272 (1999) - [j9]Hang Li, Naoki Abe:
Learning Dependencies between Case Frame Slots. Comput. Linguistics 25(2): 283-291 (1999) - [c25]Naoki Abe, Philip M. Long:
Associative Reinforcement Learning using Linear Probabilistic Concepts. ICML 1999: 3-11 - [c24]Naoki Abe, Atsuyoshi Nakamura:
Learning to Optimally Schedule Internet Banner Advertisements. ICML 1999: 12-21 - 1998
- [j8]Atsuyoshi Nakamura, Jun'ichi Takeuchi, Naoki Abe:
Efficient Distribution-Free Population Learning of Simple Concepts. Ann. Math. Artif. Intell. 23(1-2): 53-82 (1998) - [j7]Hang Li, Naoki Abe:
Generalizing Case Frames Using a Thesaurus and the MDL Principle. Comput. Linguistics 24(2): 217-244 (1998) - [c23]Hang Li, Naoki Abe:
Word Clustering and Disambiguation Based on Co-occurence Data. COLING-ACL 1998: 749-755 - [c22]Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura:
Empirical Comparison of Competing Query Learning Methods. Discovery Science 1998: 387-388 - [c21]Naoki Abe, Hiroshi Mamitsuka:
Query Learning Strategies Using Boosting and Bagging. ICML 1998: 1-9 - [c20]Atsuyoshi Nakamura, Naoki Abe:
Collaborative Filtering Using Weighted Majority Prediction Algorithms. ICML 1998: 395-403 - [i6]Hang Li, Naoki Abe:
Word Clustering and Disambiguation Based on Co-occurrence Data. CoRR cmp-lg/9807004 (1998) - 1997
- [j6]Naoki Abe, Hiroshi Mamitsuka:
Predicting Protein Secondary Structure Using Stochastic Tree Grammars. Mach. Learn. 29(2-3): 275-301 (1997) - [j5]Naoki Abe:
Towards Realistic Theories of Learning. New Gener. Comput. 15(1): 3-25 (1997) - 1996
- [c19]Hang Li, Naoki Abe:
Clustering Words with the MDL Principle. COLING 1996: 4-9 - [c18]Hang Li, Naoki Abe:
Learning Dependencies between Case Frame Slots. COLING 1996: 10-15 - [c17]Naoki Abe, Hang Li:
Learning Word Association Norms Using Tree Cut Pair Models. ICML 1996: 3-11 - [i5]Hang Li, Naoki Abe:
Learning Dependencies between Case Frame Slots. CoRR cmp-lg/9605013 (1996) - [i4]Hang Li, Naoki Abe:
Clustering Words with the MDL Principle. CoRR cmp-lg/9605014 (1996) - [i3]Naoki Abe, Hang Li:
Learning Word Association Norms Using Tree Cut Pair Models. CoRR cmp-lg/9605029 (1996) - 1995
- [j4]Naoki Abe:
Characterizing PAC-Learnability of Semilinear Sets. Inf. Comput. 116(1): 81-102 (1995) - [j3]Atsuyoshi Nakamura, Naoki Abe:
Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. Theor. Comput. Sci. 137(1): 159-176 (1995) - [c16]Atsuyoshi Nakamura, Naoki Abe:
On-line Learning of Binary and n-ary Relations over Multi-dimensional Clusters. COLT 1995: 214-221 - [c15]Naoki Abe, Hang Li, Atsuyoshi Nakamura:
On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. ICML 1995: 3-11 - [i2]Naoki Abe, Hang Li, Atsuyoshi Nakamura:
On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. CoRR abs/cmp-lg/9507010 (1995) - [i1]Hang Li, Naoki Abe:
Generalizing Case Frames Using a Thesaurus and the MDL Principle. CoRR abs/cmp-lg/9507011 (1995) - 1994
- [c14]Naoki Abe:
Towards Realistic Theories of Learning. AII/ALT 1994: 187-209 - [c13]Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi:
Efficient Distribution-free Population Learning of Simple Concepts. AII/ALT 1994: 500-515 - [c12]Naoki Abe, Hiroshi Mamitsuka:
A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. ICML 1994: 3-11 - [c11]Hiroshi Mamitsuka, Naoki Abe:
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars. ISMB 1994: 276-284 - 1993
- [c10]Atsuyoshi Nakamura, Naoki Abe:
Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. ALT 1993: 300-313 - [c9]Naoki Abe, Jun'ichi Takeuchi:
The "lob-pass" Problem and an On-line Learning Model of Rational Choice. COLT 1993: 422-428 - 1992
- [j2]Naoki Abe, Manfred K. Warmuth:
On the Computational Complexity of Approximating Distributions by Probabilistic Automata. Mach. Learn. 9: 205-260 (1992) - 1991
- [j1]Naoki Abe:
Learning Commutative Deterministic Finite State Automata in Polynomial Time. New Gener. Comput. 8(4): 319-335 (1991) - [c8]Naoki Abe:
Preservation of predictability under polynomial sparse variations and its applications. ALT 1991: 163-174 - [c7]Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi:
Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. COLT 1991: 277-289 - [c6]Naoki Abe:
On the Sample Complexity of Various Learning Strategies in the Probabilistic PAC Learning Paradigms. Nonmonotonic and Inductive Logic 1991: 89-106 - 1990
- [c5]Naoki Abe:
Learning Commutative Deterministic Finite State Automata in Polynomial Time. ALT 1990: 223-235 - [c4]Naoki Abe, Manfred K. Warmuth:
On the Computational Complexity of Approximating Distributions by Probabilistic Automata. COLT 1990: 52-66
1980 – 1989
- 1989
- [c3]Naoki Abe:
Polynomial Learnability of Semilinear Sets. COLT 1989: 25-40 - 1988
- [c2]Naoki Abe:
Polynominal Learnability and Locality of Formal Grammars. ACL 1988: 225-232 - [c1]Naoki Abe:
Feasible learnability of formal grammars and the theory of natural language acquisition. COLING 1988: 1-6
Coauthor Index
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