Nikos A. Vlassis

2008
56	EE	Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Whiteson, Nikos A. Vlassis: Exploiting locality of interaction in factored Dec-POMDPs. AAMAS (1) 2008: 517-524
55	EE	Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos A. Vlassis: Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs. ECML/PKDD (1) 2008: 656-671
54		Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos A. Vlassis: Multiagent Planning Under Uncertainty with Stochastic Communication Delays. ICAPS 2008: 338-345
2007
53	EE	Frans A. Oliehoek, Nikos A. Vlassis: Q-value functions for decentralized POMDPs. AAMAS 2007: 220
52	EE	Aristeidis Diplaros, Nikos A. Vlassis, Theo Gevers: A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation. IEEE Transactions on Neural Networks 18(3): 798-808 (2007)
2006
51		Michael R. James, Ton Wessling, Nikos A. Vlassis: Improving Approximate Value Iteration Using Memories and Predictive State Representations. AAAI 2006
50	EE	Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A. Vlassis: Decentralized planning under uncertainty for teams of communicating agents. AAMAS 2006: 249-256
49	EE	Frans A. Oliehoek, Edwin D. de Jong, Nikos A. Vlassis: The parallel Nash Memory for asymmetric games. GECCO 2006: 337-344
48	EE	Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevin Regan: An analytic solution to discrete Bayesian reinforcement learning. ICML 2006: 697-704
47	EE	Kenichi Kurihara, Max Welling, Nikos A. Vlassis: Accelerated Variational Dirichlet Process Mixtures. NIPS 2006: 761-768
46	EE	Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis: Accelerated EM-based clustering of large data sets. Data Min. Knowl. Discov. 13(3): 291-307 (2006)
45	EE	Jelle R. Kok, Nikos A. Vlassis: Collaborative Multiagent Reinforcement Learning by Payoff Propagation. Journal of Machine Learning Research 7: 1789-1828 (2006)
44	EE	Josep M. Porta, Nikos A. Vlassis, Matthijs T. J. Spaan, Pascal Poupart: Point-Based Value Iteration for Continuous POMDPs. Journal of Machine Learning Research 7: 2329-2367 (2006)
43	EE	Jakob J. Verbeek, Nikos A. Vlassis: Gaussian fields for semi-supervised regression and correspondence learning. Pattern Recognition 39(10): 1864-1875 (2006)
42	EE	Nikos A. Vlassis, Geoffrey J. Gordon, Joelle Pineau: Planning under uncertainty in robotics. Robotics and Autonomous Systems 54(11): 885-886 (2006)
2005
41		Frans A. Oliehoek, Nikos A. Vlassis, Edwin D. de Jong: Coevolutionary Nash in poker games. BNAIC 2005: 188-193
40		Jelle R. Kok, Nikos A. Vlassis: Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs. BNAIC 2005: 359-360
39		Josep M. Porta, Matthijs T. J. Spaan, Nikos A. Vlassis: Robot Planning in Partially Observable Continuous Domains. BNAIC 2005: 375-376
38	EE	Jelle R. Kok, Pieter Jan't Hoen, Bram Bakker, Nikos A. Vlassis: Utile Coordination: Learning Interdependencies Among Cooperative Agents. CIG 2005
37		Matthijs T. J. Spaan, Nikos A. Vlassis: Planning with Continuous Actions in Partially Observable Environments. ICRA 2005: 3458-3463
36	EE	Nikos A. Vlassis, Yiannis Sfakianakis, Wojtek Kowalczyk: Gossip-Based Greedy Gaussian Mixture Learning. Panhellenic Conference on Informatics 2005: 349-359
35	EE	Jelle R. Kok, Nikos A. Vlassis: Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs. RoboCup 2005: 1-12
34	EE	Josep M. Porta, Matthijs T. J. Spaan, Nikos A. Vlassis: Robot Planning in Partially Observable Continuous Domains. Robotics: Science and Systems 2005: 217-224
33	EE	Matthijs T. J. Spaan, Nikos A. Vlassis: Perseus: Randomized Point-based Value Iteration for POMDPs. J. Artif. Intell. Res. (JAIR) 24: 195-220 (2005)
32	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Self-organizing mixture models. Neurocomputing 63: 99-123 (2005)
31	EE	Jelle R. Kok, Matthijs T. J. Spaan, Nikos A. Vlassis: Non-communicative multi-robot coordination in dynamic environments. Robotics and Autonomous Systems 50(2-3): 99-114 (2005)
2004
30	EE	Jelle R. Kok, Nikos A. Vlassis: Sparse cooperative Q-learning. ICML 2004
29	EE	Matthijs T. J. Spaan, Nikos A. Vlassis: A Point-based POMDP Algorithm for Robot Planning. ICRA 2004: 2399-2404
28	EE	Wojtek Kowalczyk, Nikos A. Vlassis: Newscast EM. NIPS 2004
27	EE	Nikos A. Vlassis, Reinoud Elhorst, Jelle R. Kok: Anytime algorithms for multiagent decision making using coordination graphs. SMC (1) 2004: 953-957
26	EE	Aristeidis Diplaros, Theo Gevers, Nikos A. Vlassis: Skin detection using the EM algorithm with spatial constraints. SMC (4) 2004: 3071-3075
2003
25	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Self-Organization by Optimizing Free-Energy. ESANN 2003: 125-130
24	EE	Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis: Non-linear CCA and PCA by Alignment of Local Models. NIPS 2003
23	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Efficient Greedy Learning of Gaussian Mixture Models. Neural Computation 15(2): 469-485 (2003)
22	EE	Aristidis Likas, Nikos A. Vlassis, Jakob J. Verbeek: The global k-means clustering algorithm. Pattern Recognition 36(2): 451-461 (2003)
2002
21		Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Fast nonlinear dimensionality reduction with topology representing networks. ESANN 2002: 193-198
20	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Coordinating Principal Component Analyzers. ICANN 2002: 914-919
19		Nikos A. Vlassis, Bas Terwijn, Ben J. A. Kröse: Auxiliary Particle Filter Robot Localization from High-Dimensional Sensor Observations. ICRA 2002: 7-12
18	EE	Jelle R. Kok, Remco de Boer, Nikos A. Vlassis, Frans C. A. Groen: Towards an Optimal Scoring Policy for Simulated Soccer Agents. RoboCup 2002: 296-303
17	EE	Nikos A. Vlassis, Yoichi Motomura, Ben J. A. Kröse: Supervised Dimension Reduction of Intrinsically Low-Dimensional Data. Neural Computation 14(1): 191-215 (2002)
16		Nikos A. Vlassis, Aristidis Likas: A Greedy EM Algorithm for Gaussian Mixture Learning. Neural Processing Letters 15(1): 77-87 (2002)
15	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: A k-segments algorithm for finding principal curves. Pattern Recognition Letters 23(8): 1009-1017 (2002)
2001
14	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: A Soft k-Segments Algorithm for Principal Curves. ICANN 2001: 450-456
13	EE	Nikos A. Vlassis: Fast Score Function Estimation with Application in ICA. ICANN 2001: 541-546
12		Nikos A. Vlassis, Yoichi Motomura, Isao Hara, Hideki Asoh: Edge-based Features from Omnidirectional Images for Robot Localization. ICRA 2001: 1579-1584
11		Nikos A. Vlassis, Roland Bunschoten, Ben J. A. Kröse: Learning Task-relevant Features from Robot Data. ICRA 2001: 499-504
10	EE	Hideki Asoh, Nikos A. Vlassis, Yoichi Motomura, Futoshi Asano, Isao Hara, Satoru Hayamizu, Katsunobu Itou, Takio Kurita, Toshihiro Matsui, Roland Bunschoten, Ben J. A. Kröse: Jijo-2: An Office Robot that Communicates and Learns. IEEE Intelligent Systems 16(5): 46-55 (2001)
9	EE	Ben J. A. Kröse, Nikos A. Vlassis, Roland Bunschoten, Yoichi Motomura: A probabilistic model for appearance-based robot localization. Image Vision Comput. 19(6): 381-391 (2001)
2000
8		Nikos A. Vlassis, Yoichi Motomura, Ben J. A. Kröse: Supervised Linear Feature Extraction for Mobile Robot Localization. ICRA 2000: 2979-2984
7	EE	Ben J. A. Kröse, Nikos A. Vlassis, Roland Bunschoten: Omnidirectional Vision for Appearance-Based Robot Localization. Sensor Based Intelligent Robots 2000: 39-50
1999
6		Nikos A. Vlassis, Aristidis Likas: A kurtosis-based dynamic approach to Gaussian mixture modeling. IEEE Transactions on Systems, Man, and Cybernetics, Part A 29(4): 393-399 (1999)
5		Nikos A. Vlassis, George K. Papakonstantinou, Panayotis Tsanakas: Mixture Density Estimation Based on Maximum Likelihood and Sequential Test Statistics. Neural Processing Letters 9(1): 63-76 (1999)
1998
4		Nikos A. Vlassis, Panayotis Tsanakas: A Sensory Uncertainty Field Model for Unknown and Non-Stationary Mobile Robot Environments. ICRA 1998: 363-368
1997
3		Nikos A. Vlassis, Apostolos Dimopoulos, George K. Papakonstantinou: The Probabilistic Growing Cell Structures Algorithm. ICANN 1997: 649-654
1996
2		Nikos A. Vlassis, Nikitas M. Sgouros, G. Efthivoulidis, George K. Papakonstantinou, Panayotis Tsanakas: Global Path Planning for Autonomous Qualitative Navigation. ICTAI 1996: 354-359
1	EE	G. Efthivoulidis, Nikos A. Vlassis, Panayotis Tsanakas, G. Papakonstantinou: An experiment for truly parallel logic programming. Journal of Intelligent and Robotic Systems 16(2): 169-184 (1996)

Coauthor Index

1	Futoshi Asano	[10]
2	Hideki Asoh	[10] [12]
3	Bram Bakker	[38] [55]
4	Remco de Boer	[18]
5	Roland Bunschoten	[7] [9] [10] [11]
6	Apostolos Dimopoulos	[3]
7	Aristeidis Diplaros	[26] [52]
8	G. Efthivoulidis	[1] [2]
9	Reinoud Elhorst	[27]
10	Theo Gevers	[26] [52]
11	Geoffrey J. Gordon	[42] [50]
12	Frans C. A. Groen	[18]
13	Isao Hara	[10] [12]
14	Satoru Hayamizu	[10]
15	Pieter Jan't Hoen	[38]
16	Jesse Hoey	[48]
17	Katsunobu Itou	[10]
18	Michael R. James	[51]
19	Edwin D. de Jong	[41] [49]
20	Jelle R. Kok	[18] [27] [30] [31] [35] [38] [40] [45]
21	Wojtek Kowalczyk	[28] [36]
22	Ben J. A. Kröse	[7] [8] [9] [10] [11] [14] [15] [17] [19] [20] [21] [23] [25] [32]
23	Kenichi Kurihara	[47]
24	Takio Kurita	[10]
25	Lior Kuyer	[55]
26	Aristidis Likas	[6] [16] [22]
27	Toshihiro Matsui	[10]
28	Yoichi Motomura	[8] [9] [10] [12] [17]
29	Jan Nunnink	[46]
30	Frans A. Oliehoek	[41] [49] [53] [54] [56]
31	G. Papakonstantinou	[1]
32	George K. Papakonstantinou	[2] [3] [5]
33	Joelle Pineau	[42]
34	Josep M. Porta	[34] [39] [44]
35	Pascal Poupart	[44] [48]
36	Kevin Regan	[48]
37	Sam T. Roweis	[24]
38	Yiannis Sfakianakis	[36]
39	Nikitas M. Sgouros	[2]
40	Matthijs T. J. Spaan	[29] [31] [33] [34] [37] [39] [44] [50] [54] [56]
41	Bas Terwijn	[19]
42	Panayotis Tsanakas	[1] [2] [4] [5]
43	Jakob J. Verbeek	[14] [15] [20] [21] [22] [23] [24] [25] [32] [43] [46]
44	Max Welling	[47]
45	Ton Wessling	[51]
46	Shimon Whiteson	[55] [56]

Colors in the list of coauthors