Nicholas S. Flann

	2012
19		Nicholas S. Flann, Hamid Mohamadlou, Gregory J. Podgorski: Criticality of Spatiotemporal Dynamics in Contact Mediated Pattern Formation. IPCAT 2012: 105-116
18		Arthur W. Mahoney, Gregory J. Podgorski, Nicholas S. Flann: Multiobjective Optimization Based-Approach for Discovering Novel Cancer Therapies. IEEE/ACM Trans. Comput. Biology Bioinform. 9(1): 169-184 (2012)
	2011
17		Ahmadreza Ghaffarizadeh, Kamilia Ahmadi, Nicholas S. Flann: Sorting unsigned permutations by reversals using multi-objective evolutionary algorithms with variable size individuals. IEEE Congress on Evolutionary Computation 2011: 292-295
	2008
16		Arthur W. Mahoney, Brian G. Smith, Nicholas S. Flann, Gregory J. Podgorski: Discovering novel cancer therapies: A computational modeling and search approach. CIBCB 2008: 233-240
	2007
15		Garrett Dean Winward, Nicholas S. Flann: Coordination of multiple vehicles for area coverage tasks. IROS 2007: 1351-1356
	2005
14		Nicholas S. Flann, Jing Hu, Mayank Bansal, Vinay Patel, Gregory J. Podgorski: Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks. ECAL 2005: 57-66
	1998
13		Hao Chen, Nicholas S. Flann, Daniel W. Watson: Parallel Genetic Simulated Annealing: A Massively Parallel SIMD Algorithm. IEEE Trans. Parallel Distrib. Syst. 9(2): 126-136 (1998)
	1997
12		Thomas G. Dietterich, Nicholas S. Flann: Explanation-Based Learning and Reinforcement Learning: A Unified View. Machine Learning 28(2-3): 169-210 (1997)
	1996
11		Ranjit A. Henry, Nicholas S. Flann, Daniel W. Watson: A Massively Parallel SIMD Algorithm for Combinatorial Optimization. ICPP, Vol. 2 1996: 46-49
	1995
10		Thomas G. Dietterich, Nicholas S. Flann: Explanation-Based Learning and Reinforcement Learning: A Unified View. ICML 1995: 176-184
	1994
9		Hao Chen, Nicholas S. Flann: Parallel Simulated Annealing and Genetic Algorithms: a Space of Hybrid Methods. PPSN 1994: 428-438
	1993
8		Nicholas S. Flann: Recognition-Based Segmentation of On-Line Cursive Handwriting. NIPS 1993: 777-784
	1990
7		Nicholas S. Flann: Applying Abstraction and Simplification to Learn in Intractable Domains. ML 1990: 277-285
	1989
6		Nicholas S. Flann: Learning Appropriate Abstractions for Planning in Formation Problems. ML 1989: 235-239
5		Nicholas S. Flann, Thomas G. Dietterich: A Study of Explanation-Based Methods for Inductive Learning. Machine Learning 4: 187-226 (1989)
	1988
4		Caroline N. Koff, Nicholas S. Flann, Thomas G. Dietterich: An Efficient ATMS for Equivalence Relations. AAAI 1988: 182-187
	1987
3		Nicholas S. Flann, Thomas G. Dietterich, Dan R. Corpon: Forward Chaining Logic Programming with the ATMS. AAAI 1987: 24-29
	1986
2		Nicholas S. Flann, Thomas G. Dietterich: Selecting Appropriate Representations for Learning from Examples. AAAI 1986: 460-466
1		Thomas G. Dietterich, Nicholas S. Flann, David C. Wilkins: News and Notes. Machine Learning 1(2): 227-242 (1986)

Coauthor Index

1	Kamilia Ahmadi	[17]
2	Mayank Bansal	[14]
3	Hao Chen	[9] [13]
4	Dan R. Corpon	[3]
5	Thomas G. Dietterich	[1] [2] [3] [4] [5] [10] [12]
6	Ahmadreza Ghaffarizadeh	[17]
7	Ranjit A. Henry	[11]
8	Jing Hu	[14]
9	Caroline N. Koff	[4]
10	Arthur W. Mahoney	[16] [18]
11	Hamid Mohamadlou	[19]
12	Vinay Patel	[14]
13	Gregory J. Podgorski	[14] [16] [18] [19]
14	Brian G. Smith	[16]
15	Daniel W. Watson	[11] [13]
16	David C. Wilkins	[1]
17	Garrett Dean Winward	[15]

Colors in the list of coauthors

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