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Nicholas Kushmerick
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2020 – today
- 2021
- [j15]Arnak V. Poghosyan, Ashot N. Harutyunyan, Naira Grigoryan, Nicholas Kushmerick:
Incident Management for Explainable and Automated Root Cause Analysis in Cloud Data Centers. J. Univers. Comput. Sci. 27(11): 1152-1173 (2021)
2010 – 2019
- 2019
- [j14]Ashot N. Harutyunyan, Arnak V. Poghosyan, Naira M. Grigoryan, Narek A. Hovhannisyan, Nicholas Kushmerick:
On Machine Learning Approaches for Automated Log Management. J. Univers. Comput. Sci. 25(8): 925-945 (2019) - 2018
- [c50]Ashot N. Harutyunyan, Arnak V. Poghosyan, Naira Grigoryan, Nicholas Kushmerick, Harutyun Beybutyan:
Identifying Changed or Sick Resources from Logs. FAS*W@SASO/ICAC 2018: 86-91 - [r2]Nicholas Kushmerick:
Languages for Web Data Extraction. Encyclopedia of Database Systems (2nd ed.) 2018
2000 – 2009
- 2009
- [c49]Daniel Lowd, Nicholas Kushmerick:
Using salience to segment desktop activity into projects. IUI 2009: 463-468 - [r1]Nicholas Kushmerick:
Languages for Web Data Extraction. Encyclopedia of Database Systems 2009: 1595-1600 - 2008
- [j13]Eddie Johnston, Nicholas Kushmerick:
Web Service aggregation with string distance ensembles and active probe selection. Inf. Fusion 9(4): 481-500 (2008) - [j12]Alberto Lavelli, Mary Elaine Califf, Fabio Ciravegna, Dayne Freitag, Claudio Giuliano, Nicholas Kushmerick, Lorenza Romano, Neil Ireson:
Evaluation of machine learning-based information extraction algorithms: criticisms and recommendations. Lang. Resour. Evaluation 42(4): 361-393 (2008) - [j11]Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick:
Knowledge reuse for software reuse. Web Intell. Agent Syst. 6(1): 59-81 (2008) - 2006
- [j10]Aidan Finn, Nicholas Kushmerick:
Learning to classify documents according to genre. J. Assoc. Inf. Sci. Technol. 57(11): 1506-1518 (2006) - [c48]Nicholas Kushmerick, Tessa A. Lau, Mark Dredze, Rinat Khoussainov:
Activity-Centric Email: A Machine Learning Approach. AAAI 2006: 1634-1637 - [c47]Martina Naughton, Nicholas Kushmerick, Joe Carthy:
Clustering Sentences for Discovering Events in News Articles. ECIR 2006: 535-538 - [c46]Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick:
A Recommender Agent for Software Libraries: An Evaluation of Memory-Based and Model-Based Collaborative Filtering. IAT 2006: 154-162 - [c45]Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick:
Recommending Library Methods: An Evaluation of the Vector Space Model (VSM) and Latent Semantic Indexing (LSI). ICSR 2006: 217-230 - [c44]Mark Dredze, Tessa A. Lau, Nicholas Kushmerick:
Automatically classifying emails into activities. IUI 2006: 70-77 - 2005
- [j9]Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick:
Rascal: A Recommender Agent for Agile Reuse. Artif. Intell. Rev. 24(3-4): 253-276 (2005) - [c43]Rinat Khoussainov, Nicholas Kushmerick:
Email Task Management: An Iterative Relational Learning Approach. CEAS 2005 - [c42]Catalina Danis, Wendy A. Kellogg, Tessa A. Lau, Mark Dredze, Jeffrey Stylos, Nicholas Kushmerick:
Managers' email: beyond tasks and to-dos. CHI Extended Abstracts 2005: 1324-1327 - [c41]Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli:
Evaluating machine learning for information extraction. ICML 2005: 345-352 - [c40]Rinat Khoussainov, Andreas Heß, Nicholas Kushmerick:
Ensembles of biased classifiers. ICML 2005: 425-432 - [c39]Rinat Khoussainov, Nicholas Kushmerick:
Relational Learning for Email Task Management. IJCAI 2005: 1610-1612 - [c38]Nicholas Kushmerick, Tessa A. Lau:
Automated email activity management: an unsupervised learning approach. IUI 2005: 67-74 - [c37]Andreas Heß, Rinat Khoussainov, Nicholas Kushmerick:
Ensemble Learning with Biased Classifiers: The Triskel Algorithm. Multiple Classifier Systems 2005: 226-235 - [c36]Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick:
Knowledge Reuse for Software Reuse. SEKE 2005: 115-120 - [c35]Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick:
An Eclipse Plugin to Support Agile Reuse. XP 2005: 162-170 - 2004
- [j8]Michael P. O'Mahony, Neil J. Hurley, Nicholas Kushmerick, Guenole C. M. Silvestre:
Collaborative recommendation: A robustness analysis. ACM Trans. Internet Techn. 4(4): 344-377 (2004) - [c34]Aidan Finn, Nicholas Kushmerick:
Multi-level Boundary Classification for Information Extraction. ECML 2004: 111-122 - [c33]Andreas Heß, Nicholas Kushmerick:
Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services. ECML 2004: 156-167 - [c32]Eddie Johnston, Nicholas Kushmerick:
Aggregating Web Services with Active Invocation and Ensembles of String Distance Metrics. EKAW 2004: 386-402 - [c31]Alberto Lavelli, Mary Elaine Califf, Fabio Ciravegna, Dayne Freitag, Claudio Giuliano, Nicholas Kushmerick, Lorenza Romano:
A Critical Survey of the Methodology for IE Evaluation. LREC 2004 - [c30]Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick:
A Case Study on Recommending Reusable Software Components Using Collaborative Filtering. MSR 2004: 117-121 - [c29]Andreas Heß, Eddie Johnston, Nicholas Kushmerick:
ASSAM: A Tool for Semi-automatically Annotating Semantic Web Services. ISWC 2004: 320-334 - [c28]Rinat Khoussainov, Nicholas Kushmerick:
Specialisation dynamics in federated web search. WIDM 2004: 112-119 - 2003
- [c27]Nicholas Kushmerick, Bernd Thomas:
Adaptive Information Extraction: Core Technologies for Information Agents. AgentLink 2003: 79-103 - [c26]Rinat Khoussainov, Nicholas Kushmerick:
Automated index management for distributed web search. CIKM 2003: 386-393 - [c25]Nicholas Kushmerick:
Learning to Invoke Web Forms. OTM 2003: 997-1013 - [c24]Rinat Khoussainov, Nicholas Kushmerick:
Optimising Performance of Competing Search Engines in Heterogeneous Web Environments. ECML 2003: 217-228 - [c23]Andreas Heß, Nicholas Kushmerick:
Automatically attaching semantic metadata to Web Services. IIWeb 2003: 111-116 - [c22]Rinat Khoussainov, Nicholas Kushmerick:
Learning to Compete in Heterogeneous Web Search Environments. IJCAI 2003: 1429-1431 - [c21]Andreas Heß, Nicholas Kushmerick:
Learning to Attach Semantic Metadata to Web Services. ISWC 2003: 258-273 - [c20]Rinat Khoussainov, Nicholas Kushmerick:
Distributed Web Search as a Stochastic Game. Distributed Multimedia Information Retrieval 2003: 58-69 - [c19]Rinat Khoussainov, Nicholas Kushmerick:
Performance Management in Competitive Distributed Web Search. Web Intelligence 2003: 532-536 - [c18]Maya Dimitrova, Nicholas Kushmerick:
Dimensions of Web Genre. WWW (Posters) 2003 - 2002
- [j7]Taurai Tapiwa Chinenyanga, Nicholas Kushmerick:
An expressive and efficient language for XML information retrieval. J. Assoc. Inf. Sci. Technol. 53(6): 438-453 (2002) - [c17]J. P. McGowan, Nicholas Kushmerick, Barry Smyth:
Who Do You Want to Be Today? Web Personae for Personalised Information Access. AH 2002: 514-517 - [c16]Aidan Finn, Nicholas Kushmerick, Barry Smyth:
Genre Classification and Domain Transfer for Information Filtering. ECIR 2002: 353-362 - [c15]Nicholas Kushmerick:
Robustness Analyses of Instance-Based Collaborative Recommendation. ECML 2002: 232-244 - [c14]Nicholas Kushmerick:
Finite-State Approaches to Web Information Extraction. SCIE 2002: 77-91 - [c13]Fergus Toolan, Nicholas Kushmerick:
Mining Web Logs for Personalized Site Maps. WISE Workshops 2002: 232-237 - 2001
- [c12]Aidan Finn, Nicholas Kushmerick, Barry Smyth:
Fact or Fiction: Content Classification for Digital Libraries. DELOS 2001 - [c11]Clodagh Moriarty, Nicholas Kushmerick, Barry Smyth:
Personalised Intelligent Tutoring for Digital Libraries. DELOS 2001 - [c10]Taurai Tapiwa Chinenyanga, Nicholas Kushmerick:
Expressive Retrieval from XML Documents. SIGIR 2001: 163-171 - [c9]Taurai Tapiwa Chinenyanga, Nicholas Kushmerick:
Expressive and Efficient Ranked Querying of XML data. WebDB 2001: 1-6 - [c8]Taurai Tapiwa Chinenyanga, Nicholas Kushmerick:
Similarity-based Queries for XML Databases Using ELIXIR. WWW Posters 2001 - 2000
- [j6]Nicholas Kushmerick:
Wrapper induction: Efficiency and expressiveness. Artif. Intell. 118(1-2): 15-68 (2000) - [j5]Dieter Fensel, Craig A. Knoblock, Nicholas Kushmerick, Marie-Christine Rousset:
Workshop on Intelligent Information Integration (III-99). AI Mag. 21(1): 91-94 (2000) - [j4]Nicholas Kushmerick:
Wrapper verification. World Wide Web 3(2): 79-94 (2000) - [c7]Dayne Freitag, Nicholas Kushmerick:
Boosted Wrapper Induction. AAAI/IAAI 2000: 577-583 - [c6]Nicholas Kushmerick, James McKee, Fergus Toolan:
Towards Zero-Input Personalization: Referrer-Based Page Prediction. AH 2000: 133-143
1990 – 1999
- 1999
- [c5]Nicholas Kushmerick:
Regression testing for wrapper maintenance. AAAI/IAAI 1999: 74-79 - [c4]Nicholas Kushmerick:
Learning to Remove Internet Advertisements. Agents 1999: 175-181 - 1998
- [d1]Nicholas Kushmerick:
Internet Advertisements. UCI Machine Learning Repository, 1998 - 1997
- [j3]Nicholas Kushmerick:
Software Agents and Their Bodies. Minds Mach. 7(2): 227-247 (1997) - [c3]Nicholas Kushmerick, Daniel S. Weld, Robert B. Doorenbos:
Wrapper Induction for Information Extraction. IJCAI (1) 1997: 729-737 - 1996
- [j2]Nicholas Kushmerick:
Cognitivism and Situated Action: Two Views on Intelligent Agency. Comput. Artif. Intell. 15(5): 393-417 (1996) - 1995
- [j1]Nicholas Kushmerick, Steve Hanks, Daniel S. Weld:
An Algorithm for Probabilistic Planning. Artif. Intell. 76(1-2): 239-286 (1995) - 1994
- [c2]Nicholas Kushmerick, Steve Hanks, Daniel S. Weld:
An Algorithm for Probabilistic Least-Commitment Planning. AAAI 1994: 1073-1078 - [c1]Nicholas Kushmerick:
Exploiting the Environment: Urban Navigation as a Case Study. AAAI 1994: 1469
Coauthor Index
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