Research output

Research output per year 1989 1997 2005 2006 2008 2010 2011 2022

• 23 Conference contribution
• 5 Article
• 2 Chapter
• 1 Conference article

Research output per year

Research output per year

Search results

• 2022

  Why I Didn’t Report: Reasons for Not Reporting Sexual Violence as Stated on Twitter

  Reich, C. M., Anderson, G. D. & Maclin, R., 2022, In: Journal of Aggression, Maltreatment and Trauma. 31, 4, p. 478-496 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Sex Offenses 100%
  • twitter 86%
  • sexual violence 75%
  • Social Media 72%
  • Survivors 51%
  13 Scopus citations
• 2017

  Pharmacovigilance via baseline regularization with large-scale longitudinal observational data

  Kuang, Z., Peissig, P., Costa, V. S., Maclin, R. & Page, D., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1537-1546 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Health 100%
  • Public health 53%
  • Insurance 53%
  • Drug products 49%
  • Industry 19%
  5 Scopus citations
• 2011

  Advice refinement in knowledge-based SVMs

  Kunapuli, G., MacLin, R. & Shavlik, J. W., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Support vector machines 100%
  • Linear programming 57%
  • Learning algorithms 51%
  • Data mining 51%
  3 Scopus citations

• Automating the ILP setup task: Converting user advice about specific examples into general background knowledge

  Walker, T., O'Reilly, C., Kunapuli, G., Natarajan, S., MacLin, R., Page, D. & Shavlik, J., 2011, Inductive Logic Programming - 20th International Conference, ILP 2010, Revised Papers. p. 253-268 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6489 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Inductive Logic Programming 100%
  • Inductive logic programming (ILP) 83%
  • Background 55%
  • Knowledge 48%
  • Search Space 37%
  4 Scopus citations
• 2010

  Online knowledge-based support vector machines

  Kunapuli, G., Bennett, K. P., Shabbeer, A., MacLin, R. & Shavlik, J., 2010, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2010, Proceedings. PART 2 ed. p. 145-161 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6322 LNAI, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Knowledge-based 100%
  • Support Vector Machine 86%
  • Labels 58%
  • Support vector machines 54%
  • Prior Knowledge 53%
  18 Scopus citations

• Transfer learning via advice taking

  Torrey, L., Shavlik, J., Walker, T. & MacLin, R., 2010, Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski. Koronacki, J., Wierzchon, S., Ras, Z. & Kacprzyk, J. (eds.). p. 147-170 24 p. (Studies in Computational Intelligence; vol. 262).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Transfer learning 100%
  • Football 95%
  • Reinforcement 67%
  • Inductive logic programming (ILP) 55%
  • Reinforcement learning 42%
  14 Scopus citations
• 2008

  Advice taking and transfer learning: Naturally inspired extensions to reinforcement learning

  Torrey, L., Walker, T., Maclin, R. & Shavlik, J., Dec 1 2008, Naturally-Inspired Artificial Intelligence - Papers from the AAAI Fall Symposium, Technical Report. p. 103-110 8 p. (AAAI Fall Symposium - Technical Report; vol. FS-08-06).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Transfer learning 100%
  • Reinforcement learning 84%
  • Machine learning 24%
  • Football 19%
  • Learning algorithms 13%
  4 Scopus citations

• Building relational world models for reinforcement learning

  Walker, T., Torrey, L., Shavlik, J. & MacLin, R., 2008, Inductive Logic Programming - 17th International Conference, ILP 2007, Revised Selected Papers. p. 280-291 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4894 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement Learning 100%
  • Markov processes 70%
  • Reinforcement learning 66%
  • Markov Decision Process 54%
  • Football 37%
  2 Scopus citations

• Relational macros for transfer in reinforcement learning

  Torrey, L., Shavlik, J., Walker, T. & MacLin, R., 2008, Inductive Logic Programming - 17th International Conference, ILP 2007, Revised Selected Papers. p. 254-268 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4894 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement Learning 100%
  • Transfer Learning 83%
  • Inductive Logic Programming 70%
  • Reinforcement learning 66%
  • Macros 60%
  19 Scopus citations

• Rule extraction for transfer learning

  Torrey, L., Shavlik, J., Walker, T. & Maclin, R., 2008, Rule Extraction from Support Vector Machines. Springer Verlag, p. 67-82 16 p. (Studies in Computational Intelligence; vol. 80).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Transfer learning 100%
  2 Scopus citations
• 2007

  Refining rules incorporated into knowledge-based support vector learners via successive linear programming

  Maclin, R., Wild, E., Shavlik, J., Torrey, L. & Walker, T., 2007, AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference. p. 584-589 6 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Refining 100%
  • Linear programming 94%
  • Experiments 12%
  6 Scopus citations
• 2006

  A simple and effective method for incorporating advice into kernel methods

  Maclin, R., Shavlik, J., Walker, T. & Torrey, L., 2006, Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06. p. 427-432 6 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Football 100%
  • Support vector regression 51%
  • Support vector machines 35%
  • Simulators 31%
  • Experiments 15%
  8 Scopus citations

• Kernel methods for word sense disambiguation and acronym expansion

  Joshi, M., Pedersen, T., Maclin, R. & Pakhomov, S., 2006, Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06. p. 1879-1880 2 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Ontology 100%
  • Support vector machines 94%
  • Labeled data 69%
  • Machine learning 43%
  • Semantics 40%
  12 Scopus citations

• Skill acquisition via transfer learning and advice taking

  Torrey, L., Shavlik, J., Walker, T. & Maclin, R., 2006, Machine Learning: ECML 2006 - 17th European Conference on Machine Learning, Proceedings. Springer Verlag, p. 425-436 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4212 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Transfer Learning 100%
  • Acquisition 67%
  • Transfer learning 63%
  • Skills 61%
  • Football 60%
  45 Scopus citations
• 2005

  A comparative study of support vector machines applied to the supervised word sense disambiguation problem in the medical domain

  Joshi, M., Pedersen, T. & Maclin, R. F., 2005, Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005. p. 3449-3468 20 p. (Proceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Supervised learning 100%
  • Decision trees 91%
  • Support vector machines 75%
  • Learning algorithms 39%
  • Classifiers 33%
  36 Scopus citations

• Giving advice about preferred actions to reinforcement learners via knowledge-based kernel regression

  Maclin, R., Shavlik, J., Torrey, L., Walker, T. & Wild, E., Dec 1 2005, Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05. Vol. 2. p. 819-824 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement learning 100%
  • Reinforcement 79%
  • Support vector regression 77%
  • Football 37%
  • Simulators 24%
  66 Scopus citations

• Knowledge transfer via advice taking

  Torrey, L., Walker, T., Shavlik, J. & MacLin, R., 2005, Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP'05. p. 217-218 2 p. (Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP'05).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Football 62%
  • Reinforcement Learning 41%
  • Reinforcement learning 27%
  • Framework 15%
  1 Scopus citations

• Using advice to transfer knowledge acquired in one reinforcement learning task to another

  Torrey, L., Walker, T., Shavlik, J. & Maclin, R., 2005, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 412-424 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3720 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Reinforcement Learning 82%
  • Football 62%
  • Reinforcement learning 54%
  • Knowledge-based 32%
  • Support vector regression 32%
  55 Scopus citations
• 2002

  Exploiting unlabeled data in ensemble methods

  Bennett, K. P., Demiriz, A. & Maclin, R., Dec 1 2002, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Hand, D., Keim, D. & Ng, R. (eds.). p. 289-296 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labeled data 100%
  • Decision trees 55%
  • Classifiers 40%
  • Semi-supervised learning 34%
  • Neural networks 17%
  147 Scopus citations
• 1999

  Popular Ensemble Methods: An Empirical Study

  Opitz, D. & Maclin, R., 1999, In: Journal of Artificial Intelligence Research. 11, p. 169-198 30 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Classifiers 100%
  • Decision trees 68%
  • Neural networks 42%
  2100 Scopus citations
• 1998

  Boosting classifiers regionally

  Maclin, R., Jan 1 1998, Proceedings of the National Conference on Artificial Intelligence. Anon (ed.). AAAI, p. 700-705 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classifiers 100%
  19 Scopus citations
• 1997

  An empirical evaluation of bagging and boosting for artificial neural networks

  Opitz, D. W. & MacLin, R. F., 1997, 1997 IEEE International Conference on Neural Networks, ICNN 1997. p. 1401-1405 5 p. 613999. (IEEE International Conference on Neural Networks - Conference Proceedings; vol. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classifiers 100%
  • Neural networks 85%
  • Decision trees 68%
  38 Scopus citations

• Empirical evaluation of bagging and boosting

  Maclin, R. & Opitz, D., Dec 1 1997, Proceedings of the National Conference on Artificial Intelligence. Anon (ed.). AAAI, p. 546-551 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classifiers 100%
  • Decision trees 68%
  • Neural networks 64%
  176 Scopus citations

• Ensembles as a sequence of classifiers

  Asker, L. & Maclin, R., 1997, In: IJCAI International Joint Conference on Artificial Intelligence. 2, p. 860-865 6 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Classifiers 100%
  • Volcanoes 13%
  18 Scopus citations
• 1996

  Creating advice-taking reinforcement learners

  Maclin, R. & Shavlik, J. W., 1996, In: Machine Learning. 22, 1-3, p. 251-281 31 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Reinforcement learning 100%
  • Reinforcement 79%
  • Watches 63%
  • Intelligent agents 57%
  • Computer programming languages 45%
  128 Scopus citations
• 1994

  Incorporating advice into agents that learn from reinforcements

  Maclin, R. & Shavlik, J. W., Dec 1 1994, Proceedings of the National Conference on Artificial Intelligence. AAAI, Vol. 1. p. 694-699 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement learning 100%
  • Reinforcement 79%
  • Watches 63%
  • Intelligent agents 57%
  • Computer programming languages 45%
  26 Scopus citations
• 1993

  Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou–Fasman Algorithm for Protein Folding

  Maclin, R. & Shavlik, J. W., May 1993, In: Machine Learning. 11, 2, p. 195-215 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Protein folding 100%
  • Refining 66%
  • Neural networks 41%
  • Finite automata 12%
  • Backpropagation 10%
  45 Scopus citations
• 1992

  Using knowledge-based neural networks to improve algorithms: refining the Chou-Fasman algorithm for protein folding

  Maclin, R. & Shavlik, J. W., Dec 1 1992, Proceedings Tenth National Conference on Artificial Intelligence. Publ by AAAI, p. 165-170 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Protein folding 100%
  • Refining 66%
  • Neural networks 41%
  • Finite automata 14%
  • Backpropagation 12%
  4 Scopus citations
• 1991

  Refining Domain Theories Expressed as Finite-State Automata

  Maclin, R. & Shavlik, J. W., 1991, Proceedings of the 8th International Workshop on Machine Learning, ICML 1991. Birnbaum, L. A. & Collins, G. C. (eds.). Morgan Kaufmann Publishers, Inc., p. 524-528 5 p. (Proceedings of the 8th International Workshop on Machine Learning, ICML 1991).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Domain Theory 100%
  • Finite State Automata 98%
  • Finite automata 82%
  • Refining 74%
  • Neural Networks 71%
  8 Scopus citations
• 1990

  Representing genotype-to-phenotype mappings

  Stewart, J. & Maclin, R., Jun 1 1990, In: Journal of Biological Education. 24, 2, p. 113-116 4 p.

  Research output: Contribution to journal › Article › peer-review
  1 Scopus citations
• 1989

  ENRICHING VOCABULARIES BY GENERALIZING EXPLANATION STRUCTURES

  Maclin, R. & Shavlik, J. W., 1989, Proceedings of the 6th International Workshop on Machine Learning, ICML 1989. Segre, A. M. (ed.). Morgan Kaufmann Publishers, Inc., p. 444-446 3 p. (Proceedings of the 6th International Workshop on Machine Learning, ICML 1989).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning systems 100%
  • Automatic programming 70%
  • Learning Systems 42%
  • Concepts 14%
  • Reformulation 14%