Uzay Kaymak : Citation Profile

5

H index

4

i10 index

201

Citations

RESEARCH PRODUCTION:

7

Articles

25

Papers

1

Chapters

RESEARCH ACTIVITY:

   25 years (1997 - 2022). See details.
   Cites by year: 8
   Journals where Uzay Kaymak has often published
   Relations with other researchers
   Recent citing documents: 60.    Total self citations: 8 (3.83 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pka115
   Updated: 2026-10-17    RAS profile: 2026-10-15    
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Uzay Kaymak.

Is cited by:

Calvano, Emilio (5)

Bigoni, Maria (3)

Calzolari, Giacomo (3)

Fort, Margherita (3)

Claveria, Oscar (3)

Seppecher, Pascal (2)

Herings, P. Jean-Jacques (2)

Dragotă, Victor (2)

Sánchez-Cartas, J. Manuel (2)

Seel, Christian (2)

Clark, Robert (2)

Cites to:

Hommes, Cars (11)

Tesfatsion, Leigh (9)

Bollerslev, Tim (8)

Foucault, Thierry (6)

Marchesi, Michele (6)

Thaler, Richard (5)

Brock, William (5)

Klemperer, Paul (4)

Cincotti, Silvano (4)

Chen, Shu-Heng (4)

Raberto, Marco (4)

Main data

Where Uzay Kaymak has published?

Working Papers Series with more than one paper published# docs
ERIM Report Series Research in Management / Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam22
Econometric Institute Research Papers / Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute3

Recent works citing Uzay Kaymak (2025 and 2024)

YearTitle of citing document
2025Understanding algorithmic collusion with experience replay. (2021). Han, Bingyan. In: Papers. RePEc:arx:papers:2102.09139.

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2024Algorithmic Collusion or Competition: the Role of Platforms Recommender Systems. (2024). Tan, Yong ; Xu, Xingchen ; Lee, Stephanie. In: Papers. RePEc:arx:papers:2309.14548.

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2024Cheap Talking Algorithms. (2024). Furlan, Massimiliano ; Condorelli, Daniele. In: Papers. RePEc:arx:papers:2310.07867.

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2026Algorithmic Collusion and Price Discrimination: The Over-Usage of Data. (2024). Xu, Zhang ; Zhao, Wei ; Zhang, Mingsheng. In: Papers. RePEc:arx:papers:2403.06150.

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2024Collusive Outcomes Without Collusion. (2024). Williams, Noah ; Cho, Inkoo. In: Papers. RePEc:arx:papers:2403.07177.

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2026On Mechanism Underlying Algorithmic Collusion. (2024). Xu, Zhang ; Zhao, Wei. In: Papers. RePEc:arx:papers:2409.01147.

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2025Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions. (2024). Chen, Maxwell F ; Cai, Kevin ; Ojha, Siddhartha ; Lin, Ryan Y. In: Papers. RePEc:arx:papers:2410.00031.

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2026Naive Algorithmic Collusion: When Do Bandit Learners Cooperate and When Do They Compete?. (2024). Sundararajan, Arun ; Provost, Foster ; Douglas, Connor. In: Papers. RePEc:arx:papers:2411.16574.

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2025Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms. (2025). Berman, Ron ; Zhao, Hangcheng. In: Papers. RePEc:arx:papers:2508.08325.

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2025Algorithmic Collusion is Algorithm Orchestration. (2025). Carissimo, Cesare ; Falniowski, Fryderyk ; Rahimi, Siavash ; Nax, Heinrich. In: Papers. RePEc:arx:papers:2508.14766.

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2026The Invisible Handshake: Tacit Collusion between Adaptive Market Agents. (2025). Ferrara, Alfio ; Chavdarova, Tatjana ; Cesa-Bianchi, Nicolo ; Guidotti, Emanuele ; Foscari, Luigi. In: Papers. RePEc:arx:papers:2510.15995.

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2026Equilibrium stability as a driver of cooperation among Q-learners. (2026). Schafer, Maximilian ; Meylahn, Janusz M. In: Papers. RePEc:arx:papers:2607.13607.

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2026Algorithmic collusion under asynchronous price updating. (2026). Kalogeratos, Argyris ; Abel, Gaspard ; Conjeaud, Ivan. In: Papers. RePEc:arx:papers:2608.01406.

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2026Learning under Opponent Unawareness in Linear-Quadratic Stochastic Games. (2026). Zhang, Yufei ; Gao, Xuefeng ; Chu, Dantong. In: Papers. RePEc:arx:papers:2608.08268.

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2025Tacit collusion by pricing algorithms. (2025). Surana, Sunita ; Bhole, Bharat. In: Economic Inquiry. RePEc:bla:ecinqu:v:63:y:2025:i:4:p:1036-1065.

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2024Algorithmic Cooperation. (2024). Kasberger, Bernhard ; Werner, Tobias ; Martin, Simon ; Normann, Hans-Theo. In: CESifo Working Paper Series. RePEc:ces:ceswps:_11124.

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2024On algorithmic collusion and reward–punishment schemes. (2024). Lambin, Xavier ; Epivent, Andrea. In: Economics Letters. RePEc:eee:ecolet:v:237:y:2024:i:c:s0165176524001447.

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2024The effect of demand variability on the adoption and design of a third party’s pricing algorithm. (2024). Harrington, Joseph E. In: Economics Letters. RePEc:eee:ecolet:v:244:y:2024:i:c:s0165176524004956.

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2024Collusion by mistake: Does algorithmic sophistication drive supra-competitive profits?. (2024). Lambin, Xavier ; Tchakarov, Nikolay ; Abada, Ibrahim. In: European Journal of Operational Research. RePEc:eee:ejores:v:318:y:2024:i:3:p:927-953.

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2024Reinforcement learning in a prisoners dilemma. (2024). Dolgopolov, Arthur. In: Games and Economic Behavior. RePEc:eee:gamebe:v:144:y:2024:i:c:p:84-103.

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2026Algorithmic collusion and a folk theorem from learning with bounded rationality. (2026). Waldon, Harrison ; Penalva, Jos ; Chang, Patrick ; Cartea, Lvaro. In: Games and Economic Behavior. RePEc:eee:gamebe:v:157:y:2026:i:c:p:1-21.

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2025From black box to glass box: algorithmic explainability as a strategic decision. (2025). Lambin, Xavier ; Raizonville, Adrien. In: Information Economics and Policy. RePEc:eee:iepoli:v:71:y:2025:i:c:s016762452500023x.

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2026Algorithmic collusion under sequential pricing and stochastic costs. (2026). Ballestero, Gonzalo. In: International Journal of Industrial Organization. RePEc:eee:indorg:v:106:y:2026:i:c:s0167718726000342.

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2024MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction. (2024). Fu, Song ; Zhong, Shisheng ; Zhao, Minghang ; Lin, Lin ; Guo, Feng ; Wang, Yue. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023006105.

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2024Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction. (2024). Fink, Olga ; Zhao, Mengjie ; Nejjar, Ismail ; Geissmann, Fabian ; Taal, Cees. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006324.

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2024A feature disentanglement and unsupervised domain adaptation of remaining useful life prediction for sensor-equipped machines. (2024). Ye, Zhi-Sheng ; He, Zhen ; Yan, Jianhai. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006506.

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2024Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction. (2024). Qin, YI ; Huang, YI ; Xiang, Sheng ; Li, Penghua ; Luo, Jun. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006555.

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2024Meta-learning with deep flow kernel network for few shot cross-domain remaining useful life prediction. (2024). Wang, Xiaomin ; Yang, Jing. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:244:y:2024:i:c:s0951832024000036.

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2024Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective. (2024). Wu, Shimeng ; Yin, Shen ; Yan, Pengfei ; Zhang, Jiusi ; Tian, Jilun ; Luo, Hao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:244:y:2024:i:c:s0951832024000255.

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2024Self-supervised domain adaptation for machinery remaining useful life prediction. (2024). le Xuan, Quy ; Munderloh, Marco ; Ostermann, Jrn. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:250:y:2024:i:c:s0951832024003685.

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2025A benchmark on uncertainty quantification for deep learning prognostics. (2025). Olive, Xavier ; Chao, Manuel Arias ; Viens, Arthur ; Basora, Luis. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024005854.

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2025Contrastive domain-invariant generalization for remaining useful life prediction under diverse conditions and fault modes. (2025). Xiao, Xiaoqi ; Xu, Dan ; Zhang, Jianguo. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006069.

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2025Prediction model optimization of gas turbine remaining useful life based on transfer learning and simultaneous distillation pruning algorithm. (2025). Wang, Chenhan ; Zhong, Jingshu ; Zhao, Fei ; Bao, Xiangyu ; Chen, Liang ; Zheng, YU. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006343.

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2025A novel two-stage method via adversarial strategy for remaining useful life prediction of bearings under variable conditions. (2025). Su, Bengan ; Xie, Wenhua ; Li, Liang ; Zhao, Shujian ; Zhou, Guangda ; Liu, Yang. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:254:y:2025:i:pa:s0951832024006732.

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2025Gaussian Derivative Change-point Detection for early warnings of industrial system failures. (2025). Pan, Rong ; Zhao, Hao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:256:y:2025:i:c:s095183202400752x.

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2025Remaining useful life prediction of rotating equipment under multiple operating conditions via multi-source adversarial distillation domain adaptation. (2025). Shang, Jie ; Xu, Danyang ; Li, Mingyu ; Qiu, Haobo ; Jiang, Chen ; Gao, Liang. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008408.

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2025A feature separation transfer network with contrastive metric for remaining useful life prediction under different working conditions. (2025). Chen, CI ; Wen, Zhenfei ; Zhou, Ningxu ; Shen, Zaichen ; Lyu, YI. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008615.

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2025A survey on few-shot learning for remaining useful life prediction. (2025). Si, Xiaosheng ; Yin, Hongpeng ; Mo, Renpeng ; Zhou, Han. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:257:y:2025:i:pb:s0951832025000535.

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2025Dynamic modeling-assisted tensor regression transfer learning for online remaining useful life prediction under open environment. (2025). Mao, Wentao ; Wang, Jiayi ; Feng, KE ; Zhong, Zhidan ; Zuo, Mingjian. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:263:y:2025:i:c:s0951832025004119.

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2025A two-stage subdomain adaptation network for machinery remaining useful life prediction. (2025). Liu, Xuezhen ; Zhang, Dan ; Fan, Zihan ; Chen, Yongyi. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:264:y:2025:i:pb:s0951832025006210.

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2026Uncertainty-weighted with gradient-based to re-weight domain generalization for remaining useful life prediction of rotating machinery under unseen conditions. (2026). Li, Yan-Feng ; Tong, Shiyan ; Mi, Jinhua ; Tian, Hao. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:267:y:2026:i:pa:s0951832025010105.

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2026Wiener process-assisted online remaining useful life prediction with deep incremental regression transfer learning. (2026). Zhong, Zhidan ; Mao, Wentao ; Guo, Runze ; Zuo, Mingjian ; Wang, Jiayi. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:267:y:2026:i:pb:s0951832025010671.

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2026A novel two-stage heterogeneous transfer learning framework for the estimation of the remaining useful life of industrial components. (2026). Baraldi, Piero ; Zio, Enrico ; Wang, Bingsen ; Shokry, Ahmed. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:267:y:2026:i:pb:s0951832025011688.

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2026A remaining useful life estimation method based on meta contrastive learning. (2026). Ding, Shousheng ; Liang, Pei ; Gao, Liang ; Qiu, Haobo ; Jiang, Chen ; Shang, Xinyu. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:268:y:2026:i:c:s095183202501172x.

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2026Uncertainty-guided alignment for unsupervised domain adaptation in regression. (2026). Fink, Olga ; Forest, Florent ; Frusque, Gaetan ; Nejjar, Ismail. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:270:y:2026:i:c:s0951832025013420.

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2026Source-free domain adaptation for cross-domain remaining useful life prediction: A distributed federated learning perspective. (2026). Qian, Quan ; Wang, Chunxiao ; Zhang, Jiusi ; Yin, Shen. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:271:y:2026:i:c:s0951832026000876.

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2026From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM). (2026). Garmaev, Sergei ; Sharma, Vinay ; Nejjar, Ismail ; von Krannichfeldt, Leandro ; Fink, Olga ; Tian, Yuan ; Theiler, Raffael ; Bizzi, Arthur ; Wei, Amaury ; Kesmen, Yusuf ; Xu, Chenghao ; Steiner, Kevin ; Dong, Hao ; Zhao, Mengjie ; Sun, Han ; Zhang, Zepeng ; Niresi, Keivan Faghih. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:274:y:2026:i:c:s0951832026001924.

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2026Zero-shot cross-domain transfer for remaining useful life prediction of aero-engines via iterative diffusion refinement. (2026). Lai, Songjiang ; Cheung, Tsun-Hin ; Fung, Ka-Chun ; Lam, Kin-Man ; Xue, Kaiwen. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:275:y:2026:i:p2:s0951832026005971.

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2026A novel deep joint distribution alignment network for unsupervised remaining useful life prediction via variational auto-encoder. (2026). Zhou, YI ; Li, Penghe ; Ding, Pansheng ; Qiu, Jianbin. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:275:y:2026:i:p2:s0951832026006721.

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2025Order spectrum-assisted sparse learning classification approach for wind turbine drivetrain fault diagnostics under variable operating conditions. (2025). Zhang, Xiantao ; Dong, Mingming ; Zuo, Ming J ; Rao, Meng ; Qi, Junhui ; Chu, Fulei ; Lin, Cuiying ; Kong, Yun ; Lv, Yufan. In: Renewable Energy. RePEc:eee:renene:v:253:y:2025:i:c:s0960148125013217.

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2026Revisiting Stackelberg in His Own Light: Conjecture Learning in Leader-Follower Games *. (2026). Claude, Denis ; Tidball, Mabel. In: Post-Print. RePEc:hal:journl:hal-05571970.

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2026Adaptive Learning in Uncertain and Sequential Competition. (2026). Mehrotra, Sanjay ; Li, Shukai. In: Operations Research. RePEc:inm:oropre:v:74:y:2026:i:1:p:301-338.

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2025Implementing a Hierarchical Deep Learning Approach for Simulating Multilevel Auction Data. (2025). Joanis, Marcelin ; Lodi, Andrea ; Sadoune, Igor. In: Computational Economics. RePEc:kap:compec:v:65:y:2025:i:4:d:10.1007_s10614-024-10622-4.

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2026The QLBS Model Within the Presence of Feedback Loops Through the Impacts of a Large Trader. (2026). Uur, MR ; Zsoy, Ahmet Umur. In: Computational Economics. RePEc:kap:compec:v:67:y:2026:i:3:d:10.1007_s10614-025-10936-x.

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2026Can dynamic pricing algorithm facilitate tacit collusion? An experimental study using deep reinforcement learning in airline revenue management. (2026). Gu, Chengyan. In: Journal of Revenue and Pricing Management. RePEc:pal:jorapm:v:25:y:2026:i:3:d:10.1057_s41272-025-00562-5.

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2025Machine cross-domain remaining useful life prediction via contrastive adversarial variational recurrent method. (2025). Wang, Yashun ; Chen, Xun ; Hu, Jingwen. In: Journal of Risk and Reliability. RePEc:sae:risrel:v:239:y:2025:i:4:p:703-719.

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2025Algorithmic Pricing and Algorithmic Collusion. (2025). Oberlechner, Matthias ; Bichler, Martin ; Durmann, Julius. In: Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK. RePEc:spr:binfse:v:67:y:2025:i:6:d:10.1007_s12599-025-00965-z.

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2025AI pricing algorithms under platform competition. (2025). Sanchez-Cartas, Manuel J ; Katsamakas, Evangelos. In: Electronic Commerce Research. RePEc:spr:elcore:v:25:y:2025:i:6:d:10.1007_s10660-024-09821-w.

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2026Algorithmic Learning in Local and Global Public Goods Games. (2026). Seel, Christian ; Herings, P. Jean-Jacques ; Michaelides, Philippos ; Herings, P. J. J., . In: Discussion Paper. RePEc:tiu:tiucen:39b1b9f1-e6d6-4b83-9330-bc8d1dc06632.

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2026Algorithmic Learning in Local and Global Public Goods Games. (2026). Seel, Christian ; Herings, P. Jean-Jacques ; Michaelides, Philippos ; Herings, P. J. J., . In: Other publications TiSEM. RePEc:tiu:tiutis:39b1b9f1-e6d6-4b83-9330-bc8d1dc06632.

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Works by Uzay Kaymak:

YearTitleTypeCited
2008Q-learning agents in a Cournot oligopoly model In: Journal of Economic Dynamics and Control.
[Full Text][Citation analysis]		article78
2007Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete In: European Journal of Operational Research.
[Full Text][Citation analysis]		article16
2020Remaining useful lifetime prediction via deep domain adaptation In: Reliability Engineering and System Safety.
[Full Text][Citation analysis]		article61
2009Genetic and memetic algorithms for scheduling railway maintenance activities In: Econometric Institute Research Papers.
[Full Text][Citation analysis]		paper3
2011An evolutionary model of price competition among spatially distributed firms In: Econometric Institute Research Papers.
[Full Text][Citation analysis]		paper0
2013An Evolutionary Model of Price Competition Among Spatially Distributed Firms.(2013) In: Computational Economics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 0		article
2006Fuzzy clustering with Minkowski distance In: Econometric Institute Research Papers.
[Full Text][Citation analysis]		paper2
2001Probabilistic and Statistical Fuzzy Set Foundations of Competitive Exception Learning In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper1
2007Distributed Services with Foreseen and Unforeseen Tasks: The Mobile Re-allocation Problem In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper0
2001Pattern-Based Target Selection Applied to Fund Raising In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper0
2008A Conceptual Model of Investor Behavior In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper12
2009Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper9
2011Economic modeling using evolutionary algorithms: the effect of a binary encoding of strategies.(2011) In: Journal of Evolutionary Economics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 9		article
2009A Temporal Web Ontology Language In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper0
2004Genetic Algorithms in Supply Chain Scheduling of Ready-Mixed Concrete In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper2
2005On the Design of Artificial Stock Markets In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper1
2005A Modular Agent-Based Environment for Studying Stock Markets In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper0
2010AUK: a simple alternative to the AUC In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper0
2002Eliciting Expert Knowledge for Fuzzy Evaluation of Agricultural Production Systems In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper3
2011Function Approximation Using Probabilistic Fuzzy Systems In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper0
2003Financial Markets Analysis by Probabilistic Fuzzy Modelling In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper3
2003A Lotting Method for Electronic Reverse Auctions In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper0
2013Estimation of flexible fuzzy GARCH models for conditional density estimation In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper1
2000Fuzzy Modeling of Client Preference in Data-Rich Marketing Environments In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper0
2000Extended Fuzzy Clustering Algorithms In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper2
2006A Theoretical Analysis of Cooperative Behavior in Multi-Agent Q-learning In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper0
2006From Discrete-Time Models to Continuous-Time, Asynchronous Models of Financial Markets In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper1
2006Hybrid Meta-Heuristics for Robust Scheduling In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper1
2001Neural Networks for Target Selection in Direct Marketing In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper4
2001Weighted Constraints in Fuzzy Optimization In: ERIM Report Series Research in Management.
[Full Text][Citation analysis]		paper1
2022Setting Reserve Prices in Second-Price Auctions with Unobserved Bids In: INFORMS Journal on Computing.
[Full Text][Citation analysis]		article0
1997Methods for Simplification of Fuzzy Models In: Springer Books.
[Citation analysis]		chapter0
2009Probabilistic fuzzy systems in value‐at‐risk estimation In: Intelligent Systems in Accounting, Finance and Management.
[Full Text][Citation analysis]		article0

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