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ORCIDFaruk Polat
Person information
- affiliation: Middle East Technical University (METU), Department of Computer Engineering, Ankara, Turkey
- affiliation (PhD 1993): Bilkent University, Ankara, Turkey
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2020 – today
- 2024
[j58]Melis Ilayda Bal
, Hüseyin Aydin, Cem Iyigün, Faruk Polat:
Potential-based reward shaping using state-space segmentation for efficiency in reinforcement learning. Future Gener. Comput. Syst. 157: 469-484 (2024)- [j57]Emre Ergüven, Faruk Polat:
Relative distances approach for multi-traveling salesmen problem. Knowl. Based Syst. 300: 112160 (2024) - [j56]Saim Sunel, Erkin Çilden, Faruk Polat:
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters. ACM Trans. Auton. Adapt. Syst. 19(2): 10 (2024) - 2023
- [j55]Fatih Semiz, Mücahit Alkan Yorganci, Faruk Polat:
Solving an industry-inspired generalization of lifelong MAPF problem including multiple delivery locations. Adv. Eng. Informatics 57: 102026 (2023) - [j54]Fatih Semiz, Mücahit Alkan Yorganci, Faruk Polat:
Corrigendum to "Solving an industry-inspired generalization of lifelong MAPF problem including multiple delivery locations" [Adv. Eng. Inf. 57 (2023) 102026]. Adv. Eng. Informatics 58: 102127 (2023) - [j53]Alper Demir, Erkin Çilden, Faruk Polat:
Landmark based guidance for reinforcement learning agents under partial observability. Int. J. Mach. Learn. Cybern. 14(4): 1543-1563 (2023) - [j52]Alper Demir, Erkin Çilden, Faruk Polat:
Correction: Landmark based guidance for reinforcement learning agents under partial observability. Int. J. Mach. Learn. Cybern. 14(4): 1565 (2023) - 2022
- [j51]Hüseyin Aydin, Erkin Çilden, Faruk Polat:
Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states. Future Gener. Comput. Syst. 133: 153-168 (2022) - [c60]Mücahit Alkan Yorganci, Fatih Semiz, Faruk Polat:
LIMP: Incremental Multi-agent Path Planning with LPA. ICAART (1) 2022: 208-215 - [c59]Evren Çilden, Faruk Polat:
Multiagent Pickup and Delivery for Capacitated Agents. PAAMS 2022: 76-87 - 2021
- [j50]Fatih Semiz, Faruk Polat:
Incremental multi-agent path finding. Future Gener. Comput. Syst. 116: 220-233 (2021) - 2020
- [j49]Fatih Semiz, Faruk Polat:
Solving the area coverage problem with UAVs: A vehicle routing with time windows variation. Robotics Auton. Syst. 126: 103435 (2020) - [i1]Fatih Semiz, Faruk Polat:
Solving Area Coverage Problem with UAVs: A Vehicle Routing with Time Windows Variation. CoRR abs/2003.07124 (2020)
2010 – 2019
- 2019
- [j48]Alper Demir, Erkin Çilden, Faruk Polat:
Generating Effective Initiation Sets for Subgoal-Driven options. Adv. Complex Syst. 22(2): 1950001:1-1950001:32 (2019) - [j47]Makbule Gulcin Ozsoy, Faruk Polat, Reda Alhajj:
Effective induction of gene regulatory networks using a novel recommendation method. Int. J. Data Min. Bioinform. 22(2): 91-112 (2019) - [j46]Ahmet Engin Bayrak, Faruk Polat:
Effective feature reduction for link prediction in location-based social networks. J. Inf. Sci. 45(5) (2019) - [j45]Alper Demir, Erkin Çilden, Faruk Polat:
Automatic landmark discovery for learning agents under partial observability. Knowl. Eng. Rev. 34: e11 (2019) - [j44]Omer Ekmekci, Faruk Polat:
A context aware model for autonomous agent stochastic planning. Robotics Auton. Syst. 112: 137-153 (2019) - [c58]Ahmet Engin Bayrak, Faruk Polat:
Reducing features to improve link prediction performance in location based social networks, non-monotonically selected subset from feature clusters. ASONAM 2019: 809-815 - [c57]Alper Demir, Erkin Çilden, Faruk Polat:
Landmark Based Reward Shaping in Reinforcement Learning with Hidden States. AAMAS 2019: 1922-1924 - [c56]Hüseyin Aydin, Erkin Çilden, Faruk Polat:
Compact Frequency Memory for Reinforcement Learning with Hidden States. PRIMA 2019: 425-433 - 2018
- [j43]Makbule Gulcin Ozsoy, Tansel Özyer, Faruk Polat, Reda Alhajj:
Realizing drug repositioning by adapting a recommendation system to handle the process. BMC Bioinform. 19(1): 136:1-136:14 (2018) - [j42]Makbule Gulcin Ozsoy, Tansel Özyer, Faruk Polat, Reda Alhajj:
Correction to: Realizing drug repositioning by adapting a recommendation system to handle the process. BMC Bioinform. 19(1): 250:1 (2018) - [c55]Ahmet Engin Bayrak, Faruk Polat:
Mining Individual Features to Enhance Link Prediction Efficiency in Location Based Social Networks. ASONAM 2018: 920-925 - 2017
- [j41]Utku Erdogdu, Faruk Polat, Reda Alhajj:
Employing decomposable partially observable Markov decision processes to control gene regulatory networks. Artif. Intell. Medicine 83: 14-34 (2017) - [j40]Utku Sirin, Faruk Polat, Reda Alhajj:
Batch Mode TD(λ) for Controlling Partially Observable Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1214-1227 (2017) - [c54]Koray Ozturk, Faruk Polat, Tansel Özyer:
An Evolutionary Approach for Detecting Communities in Social Networks. ASONAM 2017: 966-973 - [c53]Alper Demir, Erkin Çilden, Faruk Polat:
A Concept Filtering Approach for Diverse Density to Discover Subgoals in Reinforcement Learning. ICTAI 2017: 1-5 - [c52]Hüseyin Aydin, Erkin Çilden, Faruk Polat:
Using Transitional Bottlenecks to Improve Learning in Nearest Sequence Memory Algorithm. ICTAI 2017: 147-152 - 2016
- [j39]Makbule Gulcin Ozsoy, Faruk Polat, Reda Alhajj:
Making recommendations by integrating information from multiple social networks. Appl. Intell. 45(4): 1047-1065 (2016) - [j38]Utku Sirin, Utku Erdogdu, Faruk Polat, Mehmet Tan, Reda Alhajj:
Effective gene expression data generation framework based on multi-model approach. Artif. Intell. Medicine 70: 41-61 (2016) - [j37]Tugcem Oral, Faruk Polat:
MOD* Lite: An Incremental Path Planning Algorithm Taking Care of Multiple Objectives. IEEE Trans. Cybern. 46(1): 245-257 (2016) - [c51]Makbule Gulcin Ozsoy, Faruk Polat, Reda Alhajj:
Time preference aware dynamic recommendation enhanced with location, social network and temporal information. ASONAM 2016: 909-916 - [c50]Ahmet Engin Bayrak, Faruk Polat:
Examining place categories for link prediction in Location Based Social Networks. ASONAM 2016: 976-979 - [c49]Alper Demir, Erkin Çilden, Faruk Polat:
A History Tree Heuristic to Generate Better Initiation Sets for Options in Reinforcement Learning. ECAI 2016: 1644-1645 - [c48]Alper Demir, Erkin Çilden, Faruk Polat:
Local Roots: A Tree-Based Subgoal Discovery Method to Accelerate Reinforcement Learning. ECML/PKDD (2) 2016: 361-376 - 2015
- [j36]Erkin Çilden, Faruk Polat:
Toward Generalization of Automated Temporal Abstraction to Partially Observable Reinforcement Learning. IEEE Trans. Cybern. 45(8): 1414-1425 (2015) - [c47]Makbule Gulcin Ozsoy, Faruk Polat, Reda Alhajj:
Modeling Individuals and Making Recommendations Using Multiple Social Networks. ASONAM 2015: 1184-1191 - [c46]Makbule Gulcin Ozsoy, Faruk Polat, Reda Alhajj:
Inference of gene regulatory networks via multiple data sources and a recommendation method. BIBM 2015: 661-664 - [c45]Coskun Sahin, Erkin Çilden, Faruk Polat:
Memory efficient factored abstraction for reinforcement learning. CYBCONF 2015: 18-23 - 2014
- [c44]Makbule Gulcin Ozsoy, Faruk Polat, Reda Alhajj:
Multi-objective optimization based location and social network aware recommendation. CollaborateCom 2014: 233-242 - [c43]Ahmet Engin Bayrak, Faruk Polat:
Contextual Feature Analysis to Improve Link Prediction for Location Based Social Networks. SNAKDD 2014: 7:1-7:5 - [c42]Erkin Çilden, Faruk Polat:
Employing Automatic Temporal Abstractions to Accelerate Utile Suffix Memory Algorithm. MATES 2014: 156-169 - 2013
- [j35]Utku Erdogdu, Mehmet Tan, Reda Alhajj, Faruk Polat, Jon G. Rokne, Douglas J. Demetrick:
Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data. Int. J. Data Min. Bioinform. 8(3): 247-281 (2013) - [j34]Mehmet Tan, Faruk Polat, Reda Alhajj:
Subtree selection in kernels for graph classification. Int. J. Data Min. Bioinform. 8(3): 294-310 (2013) - [j33]Ahmet Engin Bayrak, Faruk Polat:
Employment of an evolutionary heuristic to solve the target allocation problem efficiently. Inf. Sci. 222: 675-695 (2013) - [c41]Makbule Gulcin Ozsoy, Faruk Polat:
Trust based recommendation systems. ASONAM 2013: 1267-1274 - [c40]Erkin Çilden, Faruk Polat:
Generating Memoryless Policies Faster Using Automatic Temporal Abstractions for Reinforcement Learning with Hidden State. ICTAI 2013: 719-726 - [c39]Utku Sirin, Faruk Polat, Reda Alhajj:
Employing Batch Reinforcement Learning to Control Gene Regulation Without Explicitly Constructing Gene Regulatory Networks. IJCAI 2013 - 2012
- [j32]Ali Galip Bayrak, Faruk Polat:
Formation preserving path finding in 3-D terrains. Appl. Intell. 36(2): 348-368 (2012) - [j31]Ömer Özgün Isikman, Tansel Özyer, Omar Zarour, Reda Alhajj, Faruk Polat:
TempoXML: Nested bitemporal relationship modeling and conversion tool for fuzzy XML. Inf. Sci. 193: 247-274 (2012) - [j30]Mohammed Al-Shalalfa, Mehmet Tan, Ghada Naji, Reda Alhajj, Faruk Polat, Jon G. Rokne:
Revealing miRNA Regulation and miRNA Target Prediction Using Constraint-Based Learning. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1354-1364 (2012) - [c38]Erkin Çilden, Faruk Polat:
Abstraction in Model Based Partially Observable Reinforcement Learning Using Extended Sequence Trees. IAT 2012: 348-355 - [c37]Tugcem Oral, Faruk Polat:
A Multi-objective Incremental Path Planning Algorithm for Mobile Agents. IAT 2012: 401-408 - [c36]Utku Sirin, Utku Erdogdu, Mehmet Tan, Faruk Polat, Reda Alhajj:
Effective Enrichment of Gene Expression Data Sets. ICMLA (1) 2012: 76-81 - [c35]Utku Erdogdu, Faruk Polat, Reda Alhajj:
Partially Observable Gene Regulatory Network Control without a Boundary on Horizon. ICTAI 2012: 81-88 - 2011
- [j29]Serhat Bayili, Faruk Polat:
Limited-Damage A*: A path search algorithm that considers damage as a feasibility criterion. Knowl. Based Syst. 24(4): 501-512 (2011) - [j28]Mehmet Tan, Mohammed Al-Shalalfa, Reda Alhajj, Faruk Polat:
Influence of Prior Knowledge in Constraint-Based Learning of Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 130-142 (2011) - [c34]Utku Erdogdu, Mehmet Tan, Reda Alhajj, Faruk Polat, Douglas J. Demetrick, Jon G. Rokne:
Employing Machine Learning Techniques for Data Enrichment: Increasing the Number of Samples for Effective Gene Expression Data Analysis. BIBM 2011: 238-242 - [c33]Utku Erdogdu, Reda Alhajj, Faruk Polat:
The Benefit of Decomposing POMDP for Control of Gene Regulatory Networks. IAT 2011: 381-385 - 2010
- [j27]Cagatay Undeger, Faruk Polat:
Multi-agent real-time pursuit. Auton. Agents Multi Agent Syst. 21(1): 69-107 (2010) - [j26]Mehmet Tan, Reda Alhajj, Faruk Polat:
Scalable approach for effective control of gene regulatory networks. Artif. Intell. Medicine 48(1): 51-59 (2010) - [j25]Sertan Girgin, Faruk Polat, Reda Alhajj:
Improving reinforcement learning by using sequence trees. Mach. Learn. 81(3): 283-331 (2010) - [j24]Mehmet Tan, Reda Alhajj, Faruk Polat:
Automated Large-Scale Control of Gene Regulatory Networks. IEEE Trans. Syst. Man Cybern. Part B 40(2): 286-297 (2010) - [c32]Mehmet Tan, Faruk Polat, Reda Alhajj:
Feature selection for graph kernels. BIBM 2010: 632-637 - [c31]Iyad Suleiman, Tamer Salman, Shang Gao, Faruk Polat, Maha Arslan, Reda Alhajj, Mick J. Ridley:
The power of genetic algorithm in automated assessment of school readiness. IRI 2010: 280-285
2000 – 2009
- 2009
- [j23]Cagatay Undeger, Faruk Polat:
Real-Time Moving Target Evaluation Search. IEEE Trans. Syst. Man Cybern. Part C 39(3): 366-372 (2009) - [c30]Mehmet Tan, Faruk Polat, Reda Alhajj:
Derivation of Transcriptional Regulatory Relationships by Partial Least Squares Regression. BIBM 2009: 88-91 - 2008
- [c29]Mehmet Tan, Reda Alhajj, Faruk Polat:
Large-scale approximate intervention strategies for Probabilistic Boolean Networks as models of gene regulation. BIBE 2008: 1-6 - [c28]Mehmet Tan, Mohammed Al-Shalalfa, Reda Alhajj, Faruk Polat:
Combining multiple types of biological data in constraint-based learning of gene regulatory networks. CIBCB 2008: 90-97 - 2007
- [j22]Cagatay Undeger, Faruk Polat:
RTTES: Real-time search in dynamic environments. Appl. Intell. 27(2): 113-129 (2007) - [j21]Güray Erus, Faruk Polat:
A layered approach to learning coordination knowledge in multiagent environments. Appl. Intell. 27(3): 249-267 (2007) - [j20]Cagatay Undeger, Faruk Polat:
Real-Time Edge Follow: A Real-Time Path Search Approach. IEEE Trans. Syst. Man Cybern. Part C 37(5): 860-872 (2007) - [j19]Sertan Girgin, Faruk Polat, Reda Alhajj:
Positive Impact of State Similarity on Reinforcement Learning Performance. IEEE Trans. Syst. Man Cybern. Part B 37(5): 1256-1270 (2007) - [c27]Cagatay Undeger, Faruk Polat:
Moving target search in grid worlds. AAMAS 2007: 258 - [c26]Mehmet Tan, Faruk Polat, Reda Alhajj:
Feature Reduction for Gene Regulatory Network Control. BIBE 2007: 1260-1264 - [c25]Sertan Girgin, Faruk Polat, Reda Alhajj:
State Similarity Based Approach for Improving Performance in RL. IJCAI 2007: 817-822 - [c24]Cagatay Undeger, Faruk Polat:
Real-Time Moving Target Search. PRIMA 2007: 110-121 - 2006
- [j18]Osman Abul, Reda Alhajj, Faruk Polat:
A Powerful Approach for Effective Finding of Significantly Differentially Expressed Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 3(3): 220-231 (2006) - [c23]Utku Erdogdu, Faruk Polat:
Dynamic cooperation using resource based planning. AAMAS 2006: 329-331 - [c22]Cagatay Undeger, Faruk Polat:
Real time target evaluation search. AAMAS 2006: 332-334 - [c21]Osman Abul, Reda Alhajj, Faruk Polat:
Optimal Multi-Objective Control Method for Discrete Genetic Regulatory Networks. BIBE 2006: 281-284 - [c20]Sertan Girgin, Faruk Polat, Reda Alhajj:
Learning by Automatic Option Discovery from Conditionally Terminating Sequences. ECAI 2006: 494-498 - [c19]Sertan Girgin, Faruk Polat, Reda Alhajj:
Effectiveness of Considering State Similarity for Reinforcement Learning. IDEAL 2006: 163-171 - [c18]Osman Abul, Reda Alhajj, Faruk Polat:
Asymptotical Lower Limits on Required Number of Examples for Learning Boolean Networks. ISCIS 2006: 154-164 - 2005
- [j17]Osman Abul, Reda Alhajj, Faruk Polat, Ken Barker:
Finding differentially expressed genes for pattern generation. Bioinform. 21(4): 445-450 (2005) - [j16]M. Özgür Baykal, Reda Alhajj, Faruk Polat:
Co-operation framework of case-based reasoning agents for automated product recommendation. J. Exp. Theor. Artif. Intell. 17(3): 201-220 (2005) - [j15]S. Küçükpetek, Faruk Polat, Halit Oguztüzün:
Multilevel graph partitioning: an evolutionary approach. J. Oper. Res. Soc. 56(5): 549-562 (2005) - [j14]Nihan Kesim Cicekli, Ahmet Cosar, Asuman Dogac, Faruk Polat, Pinar Senkul, Ismail Hakki Toroslu, Adnan Yazici:
Data management research at the Middle East Technical University. SIGMOD Rec. 34(3): 81-84 (2005) - [j13]Reda Alhajj, Faruk Polat, Cem Yílmaz:
Views as first-class citizens in object-oriented databases. VLDB J. 14(2): 155-169 (2005) - [c17]Sertan Girgin, Faruk Polat:
Option Discovery in Reinforcement Learning using Frequent Common Subsequences of Actions. CIMCA/IAWTIC 2005: 371-376 - [r2]Reda Alhajj, Faruk Polat:
Converting a Legacy Database to Object-Oriented Database. Encyclopedia of Database Technologies and Applications 2005: 99-104 - [r1]Reda Alhajj, Faruk Polat:
Proper Placement of Derived Classes in the Class Hierarchy. Encyclopedia of Database Technologies and Applications 2005: 486-492 - 2004
- [c16]Osman Abul, Reda Alhajj, Faruk Polat:
Markov Decision Processes Based Optimal Control Policies for Probabilistic Boolean Network. BIBE 2004: 337-344 - [c15]M. Özgür Baykal, Reda Alhajj, Faruk Polat:
Automated Product Recommendation by Employing Case-Based Reasoning Agents. ICEIS (2) 2004: 515-518 - [c14]Osman Abul, Reda Alhajj, Faruk Polat, Ken Barker:
Finding differentially expressed genes: pattern generation using Q-values. SAC 2004: 138-142 - 2003
- [j12]Reda Alhajj, Faruk Polat:
Multiple-agents to identify and separate touching digits in unconstrained handwritten Hindi numerals. J. Exp. Theor. Artif. Intell. 15(4): 461-471 (2003) - [j11]Reda Alhajj, Faruk Polat:
Rule-based schema evolution in object-oriented databases. Knowl. Based Syst. 16(1): 47-57 (2003) - [c13]Erek Göktürk, Faruk Polat:
Implementing Agent Communication for a Multi-agent Simulation Infrastructure on HLA. ISCIS 2003: 619-626 - [c12]Osman Abul, Anthony Chiu Wa Lo, Reda Alhajj, Faruk Polat, Ken Barker:
Cluster validity analysis using subsampling. SMC 2003: 1435-1440 - 2002
- [j10]Faruk Polat, Osman Abul:
Learning Sequences of Compatible Actions Among Agents. Artif. Intell. Rev. 17(1): 21-37 (2002) - [j9]Selguk Senkul, Faruk Polat:
Learning Intelligent Behavior in a Non-stationary and Partially Observable Environment. Artif. Intell. Rev. 18(2): 97-115 (2002) - [j8]Armagan Cakir, Faruk Polat:
Coordination of intelligent agents in real-time search. Expert Syst. J. Knowl. Eng. 19(2): 80-87 (2002) - [c11]Mehmet Kaya, Reda Alhajj, Faruk Polat, Ahmet Arslan:
Efficient Automated Mining of Fuzzy Association Rules. DEXA 2002: 133-142 - 2001
- [j7]Faruk Polat, Ahmet Cosar, Reda Alhajj:
Semantic information-based alternative plan generation for multiple query optimization. Inf. Sci. 137(1-4): 103-133 (2001) - [c10]Cagatay Undeger, Faruk Polat, Ziya Ipekkan:
Real-Time Edge Follow: A New Paradigm to Real-Time Path Search. GAME-ON 2001: 63- - [c9]Reda Alhajj, Faruk Polat:
Transferring database contents from a conventional information systemto a corresponding existing object oriented information system. SAC 2001: 220-224 - [c8]Reda Alhajj, Faruk Polat:
Reengineering Relational Databases to Object-Oriented: Constructing the Class Hierarchy and Migrating the Data. WCRE 2001: 335-344 - 2000
- [j6]Osman Abul, Faruk Polat, Reda Alhajj:
Multiagent reinforcement learning using function approximation. IEEE Trans. Syst. Man Cybern. Part C 30(4): 485-497 (2000) - [c7]Osman Abul, Faruk Polat, Reda Alhajj:
Function approximation based multi-agent reinforcement learning. ICTAI 2000: 36-39 - [c6]Reda Alhajj, Faruk Polat:
Maximizing Reuseability: Seeking Appropriate Positions for Derived Classes Within the Class Hierarchy. SAC (1) 2000: 351-355 - [c5]Reda Alhajj, Faruk Polat, Ashraf Elnagar:
Employing multi-agents to identify touching of adjacent digits in handwritten Hindi numerals. SMC 2000: 2725-2730
1990 – 1999
- 1999
- [j5]Reda Alhajj, Faruk Polat:
Using Object-Oriented Materialized Views to Answer Selection-Based Complex Queries. Inf. Sci. 118(1-4): 75-99 (1999) - [j4]Faruk Polat, Reda Alhajj:
A multi-agent tuple-space based problem solving framework. J. Syst. Softw. 47(1): 11-17 (1999) - 1998
- [j3]Reda Alhajj, Faruk Polat:
Incrementalk View Maintenance in Object-Oriented Databases. Data Base 29(3): 52-64 (1998) - [j2]Reda Alhajj, Faruk Polat:
Proper Handling of Query Results towards Maximizing Reusability in Object_oriented Databases. Inf. Sci. 107(1-4): 247-272 (1998) - 1996
- [c4]Reda Alhajj, Faruk Polat:
View Maintenance in Object-Oriented Databases. DEXA 1996: 153-162 - 1994
- [c3]Reda Alhajj, Faruk Polat:
Closure Maintenance in An Object-Oriented Query Model. CIKM 1994: 72-79 - 1993
- [b1]Faruk Polat:
A Negatiation platform for cooperating multi-agents systems (Yardımlaşan akıllı sistemler için bir model). İhsan Doğramacı Bilkent University, Turkey, 1993 - [j1]Faruk Polat, H. Altay Güvenir:
UVT: A Unification-Based Tool for Knowledge Base Verification. IEEE Expert 8(3): 69-75 (1993) - 1992
- [c2]Faruk Polat, H. Altay Güvenir:
A Conflict Resolution-Based Decentralized Multi-Agent Problem Solving Model. MAAMAW 1992: 279-294 - 1991
- [c1]Faruk Polat, H. Altay Güvenir:
UVT: A Unification Based Tool for Knowledge Base Verification. EUROVAV 1991: 147-163
Coauthor Index
[j47] [j43] [j42] [j41] [j40] [j39] [j38] [c51] [c47] [c46] [c44] [j35] [j34] [c39] [j31] [j30] [c36] [c35] [j28] [c34] [c33] [j26] [j25] [j24] [c32] [c31] [c30] [c29] [c28] [j19] [c26] [c25] [j18] [c21] [c20] [c19] [c18] [j17] [j16] [j13] [r2] [r1] [c16] [c15] [c14] [j12] [j11] [c12] [c11] [j7] [c9] [c8] [j6] [c7] [c6] [c5] [j5] [j4] [j3] [j2] [c4] [c3]
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