Nicholas S. Flann

34 papers A* 5A 2B 1C 5Journal 13Unranked 8

Year	Rank	Type	Title / Venue / Authors
2017	J	`jnl`	Applying attractor dynamics to infer gene regulatory interactions involved in cellular differentiation. Biosyst. Ahmadreza Ghaffarizadeh, Gregory J. Podgorski, Nicholas S. Flann
2017	J	`jnl`	Modeling de novo granulation of anaerobic sludge. BMC Syst. Biol. Anna Doloman, Honey Varghese, Charles D. Miller, Nicholas S. Flann
2017	C	`conf`	Optimizing bioengineered vascular systems: A genetic algorithm approach. CIBCB Sima Mehri, Curtis Larsen, Gregory J. Podgorski, Nicholas S. Flann
2016	J	`jnl`	Modular genetic regulatory networks increase organization during pattern formation. Biosyst. Hamid Mohamadlou, Gregory J. Podgorski, Nicholas S. Flann
2015	C	`conf`	Bridging the multiscale gap: Identifying cellular parameters from multicellular data. CIBCB Qanita Bani Baker, Gregory J. Podgorski, Christopher D. Johnson, Elizabeth Vargis, Nicholas S. Flann
2015	—	`conf`	Motifs Within Genetic Regulatory Networks Increase Organization During Pattern Formation. IPCAT Hamid Mohamadlou, Gregory J. Podgorski, Nicholas S. Flann
2014	J	`jnl`	Maximizing Kolmogorov Complexity for accurate and robust bright field cell segmentation. BMC Bioinform. Hamid Mohamadlou, Joseph C. Shope, Nicholas S. Flann
2014	J	`jnl`	Modeling and Visualizing Cell Type Switching. Comput. Math. Methods Medicine Ahmadreza Ghaffarizadeh, Gregory J. Podgorski, Nicholas S. Flann
2014	J	`jnl`	Multistable switches and their role in cellular differentiation networks. BMC Bioinform. Ahmadreza Ghaffarizadeh, Nicholas S. Flann, Gregory J. Podgorski
2013	J	`jnl`	Kolmogorov complexity of epithelial pattern formation: The role of regulatory network configuration. Biosyst. Nicholas S. Flann, Hamid Mohamadlou, Gregory J. Podgorski
2013	J	`jnl`	Quantitative Trait Loci Mapping Problem: An Extinction-Based Multi-Objective Evolutionary Algorithm Approach. Algorithms Ahmadreza Ghaffarizadeh, Mehdi Eftekhari, Ali K. Esmailizadeh, Nicholas S. Flann
2012	—	`conf`	Criticality of Spatiotemporal Dynamics in Contact Mediated Pattern Formation. IPCAT Nicholas S. Flann, Hamid Mohamadlou, Gregory J. Podgorski
2012	J	`jnl`	Multiobjective Optimization Based-Approach for Discovering Novel Cancer Therapies. IEEE ACM Trans. Comput. Biol. Bioinform. Arthur W. Mahoney, Gregory J. Podgorski, Nicholas S. Flann
2012	C	`conf`	Searching a multicellular model to tame tumor-induced angiogenesis. CIBCB Gregory J. Podgorski, Nicholas S. Flann
2011	B	`conf`	Sorting unsigned permutations by reversals using multi-objective evolutionary algorithms with variable size individuals. IEEE Congress on Evolutionary Computation Ahmadreza Ghaffarizadeh, Kamilia Ahmadi, Nicholas S. Flann
2008	C	`conf`	Discovering novel cancer therapies: A computational modeling and search approach. CIBCB Arthur W. Mahoney, Brian G. Smith, Nicholas S. Flann, Gregory J. Podgorski
2007	C	`conf`	Co-option and Irreducibility in Regulatory Networks for Cellular Pattern Development. ALIFE Ranjitha A. Dhanasekaran, Gregory J. Podgorski, Nicholas S. Flann
2007	A	`conf`	Coordination of multiple vehicles for area coverage tasks. IROS Garrett Dean Winward, Nicholas S. Flann
2005	—	`conf`	Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks. ECAL Nicholas S. Flann, Jing Hu, Mayank Bansal, Vinay Patel, Gregory J. Podgorski
1999	—	`conf`	Mobility planning for omni-directional vehicles in natural terrains. Mobile Robots Thomas G. Goodsell, Nicholas S. Flann
1998	J	`jnl`	Parallel Genetic Simulated Annealing: A Massively Parallel SIMD Algorithm. IEEE Trans. Parallel Distributed Syst. Hao Chen, Nicholas S. Flann, Daniel W. Watson
1997	J	`jnl`	Explanation-Based Learning and Reinforcement Learning: A Unified View. Mach. Learn. Thomas G. Dietterich, Nicholas S. Flann
1997	A*	`conf`	Optimal route re-planning for mobile robots: a massively parallel incremental A* algorithm. ICRA Tao Ma, Amr Elssamadisy, Nicholas S. Flann, Ben Abbott
1996	—	`conf`	A Massively Parallel SIMD Algorithm for Combinatorial Optimization. ICPP, Vol. 2 Ranjit A. Henry, Nicholas S. Flann, Daniel W. Watson
1995	A*	`conf`	Explanation-Based Learning and Reinforcement Learning: A Unified View. ICML Thomas G. Dietterich, Nicholas S. Flann
1994	A	`conf`	Parallel Simulated Annealing and Genetic Algorithms: a Space of Hybrid Methods. PPSN Hao Chen, Nicholas S. Flann
1993	—	`conf`	Recognition-Based Segmentation of On-Line Cursive Handwriting. NIPS Nicholas S. Flann
1990	—	`conf`	Applying Abstraction and Simplification to Learn in Intractable Domains. ML Nicholas S. Flann
1989	J	`jnl`	A Study of Explanation-Based Methods for Inductive Learning. Mach. Learn. Nicholas S. Flann, Thomas G. Dietterich
1989	—	`conf`	Learning Appropriate Abstractions for Planning in Formation Problems. ML Nicholas S. Flann
1988	A*	`conf`	An Efficient ATMS for Equivalence Relations. AAAI Caroline N. Koff, Nicholas S. Flann, Thomas G. Dietterich
1987	A*	`conf`	Forward Chaining Logic Programming with the ATMS. AAAI Nicholas S. Flann, Thomas G. Dietterich, Dan R. Corpon
1986	J	`jnl`	News and Notes. Mach. Learn. Thomas G. Dietterich, Nicholas S. Flann, David C. Wilkins
1986	A*	`conf`	Selecting Appropriate Representations for Learning from Examples. AAAI Nicholas S. Flann, Thomas G. Dietterich