Wolfgang Maass

Technische Universität Graz, Austria

other persons with the same name:

• Wolfgang Maass - Hochschule Furtwangen

	2012
197		Wolfgang Maass, Sabine Janzen: Towards Design Engineering of Ubiquitous Information Systems. DESRIST 2012: 206-219
	2011
196		Wolfgang Maass, Sabine Janzen: Pattern-Based Approach for Designing with Diagrammatic and Propositional Conceptual Models. DESRIST 2011: 192-206
195		Wolfgang Maass, Tobias Kowatsch, Sabine Janzen, Upkar Varshney: A natural language technology-enhanced mobile sales assistant for in-store shopping situations. ECIS 2011
194		Wolfgang Maass, Veda C. Storey, Tobias Kowatsch: Effects of External Conceptual Models and Verbal Explanations on Shared Understanding in Small Groups. ER 2011: 92-103
193		Julian R. Eichhoff, Wolfgang Maass: Representation and Reuse of Design Knowledge: An Application for Sales Call Support. KES (1) 2011: 387-396
192		Julian R. Eichhoff, Wolfgang Maass: Distributed Imprecise Design Knowledge on the Semantic Web. URSW 2011: 101-104
191		Helena F. Deus, Miria C. Correa, Romesh Stanislaus, Maria Miragaia, Wolfgang Maass, Herminia de Lencastre, Ronan Fox, Jonas S. Almeida: S3QL: A distributed domain specific language for controlled semantic integration of life sciences data. BMC Bioinformatics 12: 285 (2011)
190		Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert, Wolfgang Maass: Biologically inspired kinematic synergies enable linear balance control of a humanoid robot. Biological Cybernetics 104(4-5): 235-249 (2011)
189		Helmut Hauser, Auke Jan Ijspeert, Rudolf M. Füchslin, Rolf Pfeifer, Wolfgang Maass: Towards a theoretical foundation for morphological computation with compliant bodies. Biological Cybernetics 105(5-6): 355-370 (2011)
188		Tobias Kowatsch, Wolfgang Maass: A design model for knowledge-based pricing services in the retail industry. Int. J. Web Eng. Technol. 6(4): 302-319 (2011)
187		Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass: Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons. PLoS Computational Biology 7(11): (2011)
186		Dejan Pecevski, Lars Buesing, Wolfgang Maass: Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons. PLoS Computational Biology 7(12): (2011)
	2010
185		Sabine Janzen, Tobias Kowatsch, Wolfgang Maass: A Methodology for Content-Centered Design of Ambient Environments. DESRIST 2010: 210-225
184		Tobias Kowatsch, Wolfgang Maass: Online vs. In-Store Shopping: How Problem Solving Strategies of Decision Support Systems influence Confidence in Purchase Decisions. ECIS 2010
183		Sabine Janzen, Tobias Kowatsch, Wolfgang Maass, Andreas Filler: Linkage of Heterogeneous Knowledge Resources within In-Store Dialogue Interaction. International Semantic Web Conference (2) 2010: 145-160
182		Jonas S. Almeida, Helena F. Deus, Wolfgang Maass: S3DB core: a framework for RDF generation and management in bioinformatics infrastructures. BMC Bioinformatics 11: 387 (2010)
181		Tobias Kowatsch, Wolfgang Maass: In-store consumer behavior: How mobile recommendation agents influence usage intentions, product purchases, and store preferences. Computers in Human Behavior 26(4): 697-704 (2010)
180		Stefan Klampfl, Wolfgang Maass: A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction. Neural Computation 22(12): 2979-3035 (2010)
179		Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, Wolfgang Maass: Reward-Modulated Hebbian Learning of Decision Making. Neural Computation 22(6): 1399-1444 (2010)
178		Lars Buesing, Wolfgang Maass: A Spiking Neuron as Information Bottleneck. Neural Computation 22(8): 1961-1992 (2010)
	2009
177		Gerhard Neumann, Wolfgang Maass, Jan Peters: Learning complex motions by sequencing simpler motion templates. ICML 2009: 95
176		Sabine Janzen, Wolfgang Maass: Ontology-Based Natural Language Processing for In-store Shopping Situations. ICSC 2009: 361-366
175		Tobias Kowatsch, Wolfgang Maass, Elgar Fleisch: The Use Of Free And Paid Digital Product Reviews On Mobile Devices In In-Store Purchase Situations. MCIS 2009: 12
174		Wolfgang Maass, Tobias Kowatsch: Let's Get Married: Adoption Of Interactive Product Information For Bundle Purchases By Tangible User Interfaces. MCIS 2009: 20
173		Robert A. Legenstein, Steven M. Chase, Andrew B. Schwartz, Wolfgang Maass: Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning. NIPS 2009: 1105-1113
172		Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass: STDP enables spiking neurons to detect hidden causes of their inputs. NIPS 2009: 1357-1365
171		Stefan Klampfl, Wolfgang Maass: Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks. NIPS 2009: 988-996
170		Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass: Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components. Neural Computation 21(4): 911-959 (2009)
169		Andreas Steimer, Wolfgang Maass, Rodney J. Douglas: Belief Propagation in Networks of Spiking Neurons. Neural Computation 21(9): 2502-2523 (2009)
	2008
168		Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: Recurrent Neural Networks - Models, Capacities, and Applications, 20.01. - 25.01.2008 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
167		Tobias Kowatsch, Wolfgang Maass: The Impact of Pre-Defined Terms on the Vocabulary of Collaborative Indexing Systems. ECIS 2008: 2136-2147
166		Wolfgang Maass, Tobias Kowatsch: Adoption of Dynamic Product Information: An Empirical Investigation of Supporting Purchase Decisions on Product Bundles. ECIS 2008: 2568-2579
165		Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass: Hebbian Learning of Bayes Optimal Decisions. NIPS 2008: 1169-1176
164		Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008
163		Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008
162		Wolfgang Maass, Andreas Filler, Jan Seeburger: Product-Centered Mobile Reasoning Support for Physical Shopping Situations. TAMoCo 2008: 54-63
161		Wolfgang Maass, Upkar Varshney: Preface to the Focus Theme Section: 'Smart Products'. Electronic Markets 18(3): 211-215 (2008)
160		Dimitris Apostolou, Gregoris Mentzas, Bertin Klein, Andreas Abecker, Wolfgang Maass: Interorganizational Knowledge Exchanges. IEEE Intelligent Systems 23(4): 65-74 (2008)
159		Robert A. Legenstein, Wolfgang Maass: On the Classification Capability of Sign-Constrained Perceptrons. Neural Computation 20(1): 288-309 (2008)
158		Peter Auer, Harald Burgsteiner, Wolfgang Maass: A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks 21(5): 786-795 (2008)
157		Robert A. Legenstein, Dejan Pecevski, Wolfgang Maass: A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback. PLoS Computational Biology 4(10): (2008)
	2007
156		Wolfgang Maass: Liquid Computing. CiE 2007: 507-516
155		Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass: Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs. ECML 2007: 250-261
154		Wolfgang Maass, Tobias Kowatsch, Timo Münster: Vocabulary Patterns in Free-for-all Collaborative Indexing Systems. ESOE 2007: 45-57
153		Wolfgang Maass, Matthias Lampe: Integration of Standardized and Non-Standardized Product Data. GI Jahrestagung (1) 2007: 141-146
152		Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert, Wolfgang Maass: Biologically inspired kinematic synergies provide a new paradigm for balance control of humanoid robots. Humanoids 2007: 73-80
151		Lars Buesing, Wolfgang Maass: Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons. NIPS 2007
150		Robert A. Legenstein, Dejan Pecevski, Wolfgang Maass: Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity. NIPS 2007
149		Herbert Jaeger, Wolfgang Maass, José Carlos Príncipe: Special issue on echo state networks and liquid state machines. Neural Networks 20(3): 287-289 (2007)
148		Robert A. Legenstein, Wolfgang Maass: Edge of chaos and prediction of computational performance for neural circuit models. Neural Networks 20(3): 323-334 (2007)
147		Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Computational Aspects of Feedback in Neural Circuits. PLoS Computational Biology 3(1): (2007)
	2006
146		Wolfgang Maass, Andreas Filler: Towards an Infrastructure for Semantically Annotated Physical Products. GI Jahrestagung (2) 2006: 544-549
145		Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass: Energy Complexity and Entropy of Threshold Circuits. ICALP (1) 2006: 631-642
144		Danko Nikolic, Stefan Häusler, Wolf Singer, Wolfgang Maass: Temporal dynamics of information content carried by neurons in the primary visual cortex. NIPS 2006: 1041-1048
143		Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass: Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons. NIPS 2006: 713-720
142		Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Computational aspects of feedback in neural circuits. Electronic Colloquium on Computational Complexity (ECCC) 13(137): (2006)
141		Wolfgang Maass, Kei Uchizawa, Rodney J. Douglas: Energy Complexity and Entropy of Threshold Circuits. Electronic Colloquium on Computational Complexity (ECCC) 13(138): (2006)
140		Florian Stahl, Wolfgang Maass: Adoption and Diffusion in Electronic Markets: An Empirical Analysis of Attributes Influencing the Adoption of Paid Content. Electronic Markets 16(3): 233-244 (2006)
139		Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass: On the Computational Power of Threshold Circuits with Sparse Activity. Neural Computation 18(12): 2994-3008 (2006)
138		Alexander Kaske, Wolfgang Maass: A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models. Neural Networks 19(5): 600-609 (2006)
137		Wolfgang Maass: "Imitation of life: how biology is inspiring computing" by Nancy Forbes. Pattern Anal. Appl. 8(4): 390-391 (2006)
	2005
136		Robert A. Legenstein, Wolfgang Maass: A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity. NIPS 2005
135		Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Principles of real-time computing with feedback applied to cortical microcircuit models. NIPS 2005
134		Dimitris Apostolou, Gregory Mentzas, Andreas Abecker, Wolfgang Maass, Panos Georgolios, Kostas Kafentzis: Challenges and directions in knowledge asset trading. Int. Syst. in Accounting, Finance and Management 13(1): 1-15 (2005)
133		Robert A. Legenstein, Wolfgang Maass: Wire length as a circuit complexity measure. J. Comput. Syst. Sci. 70(1): 53-72 (2005)
132		Robert A. Legenstein, Christian Naeger, Wolfgang Maass: What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? Neural Computation 17(11): 2337-2382 (2005)
131		Prashant Joshi, Wolfgang Maass: Movement Generation with Circuits of Spiking Neurons. Neural Computation 17(8): 1715-1738 (2005)
130		Thomas Natschläger, Wolfgang Maass: Dynamics of information and emergent computation in generic neural microcircuit models. Neural Networks 18(10): 1301-1308 (2005)
	2004
129		Prashant Joshi, Wolfgang Maass: Movement Generation and Control with Generic Neural Microcircuits. BioADIT 2004: 258-273
128		Wolfgang Maass, Robert A. Legenstein, Nils Bertschinger: Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits. NIPS 2004
127		Wolfgang Maass, Beat Schmid, Wolf-Christian Eickhoff: Media channels for personal business media. International Journal of Internet and Enterprise Management 2(2): 139-151 (2004)
126		Wolfgang Maass, Henry Markram: On the computational power of circuits of spiking neurons. J. Comput. Syst. Sci. 69(4): 593-616 (2004)
	2003
125		Thomas Natschläger, Wolfgang Maass: Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons. NIPS 2003
124		Stefan Häusler, Henry Markram, Wolfgang Maass: Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts. Complexity 8(4): 39-50 (2003)
123		Wolfgang Maass, Jörg P. Müller: Preface to the Special Section on Software Agents. Electronic Markets 13(1): (2003)
	2002
122		Wolfgang Maass, Robert A. Legenstein, Henry Markram: A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models. Biologically Motivated Computer Vision 2002: 282-293
121		Peter Auer, Harald Burgsteiner, Wolfgang Maass: Reducing Communication for Distributed Learning in Neural Networks. ICANN 2002: 123-128
120		Wolfgang Maass: On the Computational Power of Neural Microcircuit Models: Pointers to the Literature. ICANN 2002: 254-258
119		Wolfgang Maass, Thomas Natschläger, Henry Markram: A Model for Real-Time Computation in Generic Neural Microcircuits. NIPS 2002: 213-220
118		Dimitris Apostolou, Gregoris Mentzas, Andreas Abecker, Wolf-Christian Eickhoff, Wolfgang Maass, Panos Georgolios, Kostas Kafentzis, Sophia Kyriakopoulou: Challenges and Directions in Knowledge Asset Trading. PAKM 2002: 549-564
117		Wolfgang Maass, Henry Markram: On the Computational Power of Recurrent Circuits of Spiking Neurons Electronic Colloquium on Computational Complexity (ECCC)(022): (2002)
116		Wolfgang Maass, Thomas Natschläger, Henry Markram: Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations. Neural Computation 14(11): 2531-2560 (2002)
115		Wolfgang Maass, Henry Markram: Synapses as dynamic memory buffers. Neural Networks 15(1): 155-161 (2002)
114		Robert A. Legenstein, Wolfgang Maass: Neural circuits for pattern recognition with small total wire length. Theor. Comput. Sci. 287(1): 239-249 (2002)
113		Thomas Natschläger, Wolfgang Maass: Spiking neurons and the induction of finite state machines. Theor. Comput. Sci. 287(1): 251-265 (2002)
	2001
112		Wolfgang Maass: Neural Computation: A Research Topic for Theoretical Computer Science? Some Thoughts and Pointers. Current Trends in Theoretical Computer Science 2001: 680-690
111		Robert A. Legenstein, Wolfgang Maass: Optimizing the Layout of a Balanced Tree Electronic Colloquium on Computational Complexity (ECCC) 8(069): (2001)
110		Robert A. Legenstein, Wolfgang Maass: Total Wire Length as a Salient Circuit Complexity Measure for Sensory Processing Electronic Colloquium on Computational Complexity (ECCC) 8(070): (2001)
109		Robert A. Legenstein, Wolfgang Maass: Neural Circuits for Pattern Recognition with Small Total Wire Length Electronic Colloquium on Computational Complexity (ECCC) 8(071): (2001)
108		Thomas Natschläger, Wolfgang Maass: Computing the Optimally Fitted Spike Train for a Synapse. Neural Computation 13(11): 2477-2494 (2001)
107		Stephen Grossberg, Wolfgang Maass, Henry Markram: Introduction: Spiking Neurons in Neuroscience and Technology. Neural Networks 14(6-7): 587- (2001)
106		Wolfgang Maass: On the relevance of time in neural computation and learning. Theor. Comput. Sci. 261(1): 157-178 (2001)
	2000
105		Thomas Natschläger, Wolfgang Maass: Finding the Key to a Synapse. NIPS 2000: 138-144
104		Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony M. Zador: Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics. NIPS 2000: 145-151
103		Robert A. Legenstein, Wolfgang Maass: Foundations for a Circuit Complexity Theory of Sensory Processing. NIPS 2000: 259-265
102		Wolfgang Maass, Gerald Steinbauer, Roland Koholka: Autonomous Fast Learning in a Mobile Robot. Sensor Based Intelligent Robots 2000: 345-356
101		Wolfgang Maass: Neural Computation: A Research Topic for Theoretical Computer Science? Some Thoughts and Pointers. Bulletin of the EATCS 72: 149-158 (2000)
100		Wolfgang Maass: A Simple Model for Neural Computation with Firing Rates and Firing Correlations Electronic Colloquium on Computational Complexity (ECCC) 7(30): (2000)
99		Wolfgang Maass, Eduardo D. Sontag: Neural Systems as Nonlinear Filters Electronic Colloquium on Computational Complexity (ECCC) 7(31): (2000)
98		Wolfgang Maass: On the Computational Power of Winner-Take-All Electronic Colloquium on Computational Complexity (ECCC) 7(32): (2000)
97		Wolfgang Maass: On Computation with Pulses Electronic Colloquium on Computational Complexity (ECCC) 7(38): (2000)
96		Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning Electronic Colloquium on Computational Complexity (ECCC) 7(50): (2000)
95		Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth: Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes Electronic Colloquium on Computational Complexity (ECCC) 7(55): (2000)
94		Wolfgang Maass: On the Computational Power of Winner-Take-All. Neural Computation 12(11): 2519-2535 (2000)
93		Wolfgang Maass, Thomas Natschläger: A Model for Fast Analog Computation Based on Unreliable Synapses. Neural Computation 12(7): 1679-1704 (2000)
92		Wolfgang Maass, Eduardo D. Sontag: Neural Systems as Nonlinear Filters. Neural Computation 12(8): 1743-1772 (2000)
	1999
91		Wolfgang Maass: Von visuellen Daten zu inkrementellen Wegbeschreibungen in dreidimensionalen Umgebungen - das Modell eines kognitiven Agenten. Infix 1999: I-IV, 1-239
90		Thomas Natschläger, Wolfgang Maass: Fast analog computation in networks of spiking neurons using unreliable synapses. ESANN 1999: 417-422
89		Wolfgang Maass: Neural Computation with Winner-Take-All as the Only Nonlinear Operation. NIPS 1999: 293-299
88		Wolfgang Maass, Berthold Ruf: On Computations with Pulses. Inf. Comput. 148(2): 202-218 (1999)
87		Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for Spiking Neurons with Temporal Coding. Inf. Comput. 153(1): 26-46 (1999)
86		Wolfgang Maass, Eduardo D. Sontag: Analog Neural Nets with Gaussian or Other Common Noise Distribution Cannot Recognize Arbitrary Regular Languages. Neural Computation 11(3): 771-782 (1999)
85		Wolfgang Maass, Anthony M. Zador: Dynamic Stochastic Synapses as Computational Units. Neural Computation 11(4): 903-917 (1999)
	1998
84		Wolfgang Maass: Models for Fast Analog Computation with Spiking Neurons. ICONIP 1998: 187-188
83		Wolfgang Maass: On the Role of Time and Space in Neural Computation. MFCS 1998: 72-83
82		Wolfgang Maass: Spiking Neurons. NC 1998: 16-20
81		Wolfgang Maass, Eduardo D. Sontag: A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions. NIPS 1998: 281-287
80		Wolfgang Maass, Manfred K. Warmuth: Efficient Learning With Virtual Threshold Gates. Inf. Comput. 141(1): 66-83 (1998)
79		Wolfgang Maass, Pekka Orponen: On the Effect of Analog Noise in Discrete-Time Analog Computations. Neural Computation 10(5): 1071-1095 (1998)
	1997
78		Wolfgang Maass: On the Relevance of Time in Neural Computation and Learning. ALT 1997: 364-384
77		Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for a Spiking Neuron (Extended Abstract). COLT 1997: 54-61
76		Wolfgang Maass, Anthony M. Zador: Dynamic Stochastic Synapses as Computational Units. NIPS 1997
75		Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for Spiking Neurons with Temporal Coding Electronic Colloquium on Computational Complexity (ECCC) 4(49): (1997)
74		Wolfgang Maass, Pekka Orponen: On the Effect of Analog Noise in Discrete-Time Analog Computations Electronic Colloquium on Computational Complexity (ECCC) 4(51): (1997)
73		Wolfgang Maass, Eduardo D. Sontag: Analog Neural Nets with Gaussian or other Common Noise Distributions cannot Recognize Arbitrary Regular Languages Electronic Colloquium on Computational Complexity (ECCC) 4(52): (1997)
72		Wolfgang Maass: Fast Sigmoidal Networks via Spiking Neurons. Neural Computation 9(2): 279-304 (1997)
71		Wolfgang Maass: Networks of spiking neurons: The third generation of neural network models. Neural Networks 10(9): 1659-1671 (1997)
70		Wolfgang Maass: Bounds for the Computational Power and Learning Complexity of Analog Neural Nets. SIAM J. Comput. 26(3): 708-732 (1997)
	1996
69		Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth: Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract). COLT 1996: 333-343
68		Wolfgang Maass: Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons. NIPS 1996: 211-217
67		Wolfgang Maass, Pekka Orponen: On the Effect of Analog Noise in Discrete-Time Analog Computations. NIPS 1996: 218-224
66		Wolfgang Maass, Berthold Ruf: The Computational Power of Spiking Neurons Depends on the Shape of the Postsynaptic Potentials Electronic Colloquium on Computational Complexity (ECCC) 3(25): (1996)
65		Wolfgang Maass: Networks of Spiking Neurons: The Third Generation of Neural Network Models Electronic Colloquium on Computational Complexity (ECCC) 3(31): (1996)
64		David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass: Computing the Maximum Bichromatic Discrepancy with Applications to Computer Graphics and Machine Learning. J. Comput. Syst. Sci. 52(3): 453-470 (1996)
	1995
63		Wolfgang Maass: Proceedings of the Eigth Annual Conference on Computational Learning Theory, COLT 1995, Santa Cruz, California, USA, July 5-8, 1995 ACM 1995
62		Wolfgang Maass: How Spatial Information Connects Visual Perception and Natural Language Generation in Dynamic Environments: Towards a Computational Model. COSIT 1995: 223-240
61		Peter Auer, Robert C. Holte, Wolfgang Maass: Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. ICML 1995: 21-29
60		Wolfgang Maass, Manfred K. Warmuth: Efficient Learning with Virtual Threshold Gates. ICML 1995: 378-386
59		Wolfgang Maass: On the Computational Power of Noisy Spiking Neurons. NIPS 1995: 211-217
58		William J. Bultman, Wolfgang Maass: Fast Identification of Geometric Objects with Membership Queries Inf. Comput. 118(1): 48-64 (1995)
57		Wolfgang Maass: Editor's Foreword. J. Comput. Syst. Sci. 51(3): 339 (1995)
56		Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning. Machine Learning 18(2-3): 187-230 (1995)
	1994
55		Wolfgang Maass: Efficient Agnostic PAC-Learning with Simple Hypothesis. COLT 1994: 67-75
54		Wolfgang Maass: On the Computational Complexity of Networks of Spiking Neurons. NIPS 1994: 183-190
53		Wolfgang Maass: From Vision to Multimodal Communication: Incremental Route Descriptions. Artif. Intell. Rev. 8(2-3): 159-174 (1994)
52		Wolfgang Maass: Bounds for the Computational Power and Learning Complexity of Analog Neural Nets Electronic Colloquium on Computational Complexity (ECCC) 1(12): (1994)
51		Wolfgang Maass: Neural Nets with Superlinear VC-Dimension Electronic Colloquium on Computational Complexity (ECCC) 1(17): (1994)
50		Wolfgang Maass: Lower Bounds for the Computational Power of Networks of Spiking Neurons Electronic Colloquium on Computational Complexity (ECCC) 1(19): (1994)
49		Wolfgang Maass: Agnostic PAC-Learning of Functions on Analog Neural Nets Electronic Colloquium on Computational Complexity (ECCC) 1(20): (1994)
48		David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass: Computing the Maximum Bichromatic Discrepancy, with applications to Computer Graphics and Machine Learning Electronic Colloquium on Computational Complexity (ECCC) 1(25): (1994)
47		Wolfgang Maass, György Turán: Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts. Machine Learning 14(1): 251-269 (1994)
46		Zhixiang Chen, Wolfgang Maass: On-Line Learning of Rectangles and Unions of Rectangles. Machine Learning 17(2-3): 201-223 (1994)
45		Wolfgang Maass: Neural Nets with Superlinear VC-Dimension. Neural Computation 6(5): 877-884 (1994)
	1993
44		Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning. COLT 1993: 392-401
43		Wolfgang Maass: A Cognitive Model for the Process of Multimodal, Incremental Route Descriptions. COSIT 1993: 1-13
42		Wolfgang Maass: Agnostic PAC-Learning of Functions on Analog Neural Nets. NIPS 1993: 311-318
41		Wolfgang Maass: Bounds for the computational power and learning complexity of analog neural nets. STOC 1993: 335-344
40		Wolfgang Maass, Georg Schnitger, Endre Szemerédi, György Turán: Two Tapes Versus One for Off-Line Turing Machines. Computational Complexity 3: 392-401 (1993)
39		András Hajnal, Wolfgang Maass, Pavel Pudlák, Mario Szegedy, György Turán: Threshold Circuits of Bounded Depth. J. Comput. Syst. Sci. 46(2): 129-154 (1993)
38		Martin Dietzfelbinger, Wolfgang Maass: The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines with Output Tape. Theor. Comput. Sci. 108(2): 271-290 (1993)
	1992
37		Zhixiang Chen, Wolfgang Maass: A Solution of the Credit Assignment Problem in the Case of Learning Rectangles (Abstract). AII 1992: 26-34
36		Zhixiang Chen, Wolfgang Maass: On-line Learning of Rectangles. COLT 1992: 16-28
35		Wolfgang Maass, Theodore A. Slaman: The Complexity Types of Computable Sets. J. Comput. Syst. Sci. 44(2): 168-192 (1992)
34		Wolfgang Maass, György Turán: Lower Bound Methods and Separation Results for On-Line Learning Models. Machine Learning 9: 107-145 (1992)
	1991
33		Wolfgang Maass: On-Line Learning with an Oblivious Environment and the Power of Randomization. COLT 1991: 167-175
32		William J. Bultman, Wolfgang Maass: Fast Identification of Geometric Objects with Membership Queries. COLT 1991: 337-353
31		Wolfgang Maass, Georg Schnitger, Eduardo D. Sontag: On the Computational Power of Sigmoid versus Boolean Threshold Circuits FOCS 1991: 767-776
30		Winfried Graf, Wolfgang Maass: Constraint-basierte Verarbeitung graphischen Wissens. Wissensbasierte Systeme 1991: 243-253
29		Martin Dietzfelbinger, Wolfgang Maass, Georg Schnitger: The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines. Theor. Comput. Sci. 82(1): 113-129 (1991)
	1990
28		Wolfgang Maass, György Turán: On the Complexity of Learning from Counterexamples and Membership Queries (abstract). COLT 1990: 391
27		Wolfgang Maass, György Turán: On the Complexity of Learning from Counterexamples and Membership Queries FOCS 1990: 203-210
26		Ajay Gupta, Wolfgang Maass: Efficient Design of Boltzmann Machines. NIPS 1990: 825-831
	1989
25		Wolfgang Maass, Theodore A. Slaman: Extensional Properties of Sets of Time Bounded Complexity (Extended Abstract). FCT 1989: 318-326
24		Wolfgang Maass, György Turán: On the Complexity of Learning From Counterexamples (Extended Abstract) FOCS 1989: 262-267
23		Wolfgang Maass, Theodore A. Slaman: The Complexity Types of Computable Sets. Structure in Complexity Theory Conference 1989: 231-239
	1988
22		Martin Dietzfelbinger, Wolfgang Maass: The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines with Output Tape. ICALP 1988: 188-200
21		András Hajnal, Wolfgang Maass, György Turán: On the Communication Complexity of Graph Properties STOC 1988: 186-191
20		Klaus Sutner, Wolfgang Maass: Motion Planning Among Time Dependent Obstacles. Acta Inf. 26(1/2): 93-122 (1988)
19		Martin Dietzfelbinger, Wolfgang Maass: Lower Bound Arguments with "Inaccessible" Numbers. J. Comput. Syst. Sci. 36(3): 313-335 (1988)
18		Noga Alon, Wolfgang Maass: Meanders and Their Applications in Lower Bounds Arguments. J. Comput. Syst. Sci. 37(2): 118-129 (1988)
17		Wolfgang Maass: On the Use of Inaccessible Numbers and Order Indiscernibles in Lower Bound Arguments for Random Access Machines. J. Symb. Log. 53(4): 1098-1109 (1988)
	1987
16		András Hajnal, Wolfgang Maass, Pavel Pudlák, Mario Szegedy, György Turán: Threshold circuits of bounded depth FOCS 1987: 99-110
15		Wolfgang Maass, Georg Schnitger, Endre Szemerédi: Two Tapes Are Better than One for Off-Line Turing Machines STOC 1987: 94-100
14		Dorit S. Hochbaum, Wolfgang Maass: Fast Approximation Algorithms for a Nonconvex Covering Problem. J. Algorithms 8(3): 305-323 (1987)
13		Wolfgang Maass, Amir Schorr: Speed-Up of Turing Machines with One Work Tape and a Two-Way Input Tape. SIAM J. Comput. 16(1): 195-202 (1987)
	1986
12		Noga Alon, Wolfgang Maass: Meanders, Ramsey Theory and Lower Bounds for Branching Programs FOCS 1986: 410-417
11		Martin Dietzfelbinger, Wolfgang Maass: two Lower Bound Arguments with "Inaccessible" Numbers. Structure in Complexity Theory Conference 1986: 163-183
10		Wolfgang Maass, Georg Schnitger: An Optimal Lower Bound for Turing Machines with One Work Tape and a Two- way Input Tape. Structure in Complexity Theory Conference 1986: 249-264
9		Wolfgang Maass: On the Complexity of Nonconvex Covering. SIAM J. Comput. 15(2): 453-467 (1986)
	1985
8		Dorit S. Hochbaum, Wolfgang Maass: Approximation Schemes for Covering and Packing Problems in Image Processing and VLSI J. ACM 32(1): 130-136 (1985)
7		Wolfgang Maass: Variations on Promptly Simple Sets. J. Symb. Log. 50(1): 138-148 (1985)
	1984
6		Dorit S. Hochbaum, Wolfgang Maass: Approximation Schemes for Covering and Packing Problems in Robotics and VLSI. STACS 1984: 55-62
5		Wolfgang Maass: Quadratic Lower Bounds for Deterministic and Nondeterministic One-Tape Turing Machines (Extended Abstract) STOC 1984: 401-408
4		Wolfgang Maass: On the Orbits of Hyperhypersimple Sets. J. Symb. Log. 49(1): 51-62 (1984)
	1983
3		Steven Homer, Wolfgang Maass: Oracle-Dependent Properties of the Lattice of NP Sets. Theor. Comput. Sci. 24: 279-289 (1983)
	1982
2		Wolfgang Maass: Recursively Enumerable Generic Sets. J. Symb. Log. 47(4): 809-823 (1982)
	1978
1		Wolfgang Maass: The Uniform Regular Set Theorem in a-Recursion Theory. J. Symb. Log. 43(2): 270-279 (1978)

Coauthor Index

1	Andreas Abecker	[118] [134] [160]
2	Jonas S. Almeida	[182] [191]
3	Noga Alon	[12] [18]
4	Dimitris Apostolou	[118] [134] [160]
5	Peter Auer	[44] [56] [61] [69] [95] [96] [121] [158]
6	Nils Bertschinger	[128]
7	Johannes Bill	[187]
8	Lars Buesing (Lars Büsing)	[151] [178] [186] [187]
9	William J. Bultman	[32] [58]
10	Harald Burgsteiner	[121] [158]
11	Steven M. Chase	[173]
12	Zhixiang Chen	[36] [37] [46]
13	Miria C. Correa	[191]
14	Helena F. Deus	[182] [191]
15	Martin Dietzfelbinger	[11] [19] [22] [29] [38]
16	David P. Dobkin	[48] [64]
17	Rodney J. Douglas	[139] [141] [145] [169] [179]
18	Julian R. Eichhoff	[192] [193]
19	Wolf-Christian Eickhoff	[118] [127]
20	Andreas Filler	[146] [162] [183]
21	Elgar Fleisch	[175]
22	Ronan Fox	[191]
23	Rudolf M. Füchslin	[189]
24	Panos Georgolios	[118] [134]
25	Winfried Graf	[30]
26	Stephen Grossberg	[107]
27	Dimitrios Gunopulos	[48] [64]
28	Ajay Gupta	[26]
29	András Hajnal	[16] [21] [39]
30	Barbara Hammer	[163] [164] [168]
31	Helmut Hauser	[152] [189] [190]
32	Stefan Häusler	[124] [144]
33	Pascal Hitzler	[163] [164] [168]
34	Dorit S. Hochbaum	[6] [8] [14]
35	Robert C. Holte (Robert Holte)	[61]
36	Steven Homer	[3]
37	Auke Jan Ijspeert	[152] [189] [190]
38	Herbert Jaeger	[149]
39	Sabine Janzen	[176] [183] [185] [195] [196] [197]
40	Prashant Joshi	[129] [131] [135] [142] [147]
41	Kostas Kafentzis (Konstantinos Kafentzis)	[118] [134]
42	Alexander Kaske	[138]
43	Stefan Klampfl	[143] [170] [171] [180]
44	Bertin Klein	[160]
45	Roland Koholka	[102]
46	Tobias Kowatsch	[154] [166] [167] [174] [175] [181] [183] [184] [185] [188] [194] [195]
47	Stephen Kwek	[69] [95]
48	Sophia Kyriakopoulou	[118]
49	Matthias Lampe	[153]
50	Robert A. Legenstein	[103] [109] [110] [111] [114] [122] [128] [132] [133] [136] [143] [148] [150] [157] [159] [170] [173]
51	Herminia de Lencastre	[191]
52	Philip M. Long	[44] [56] [96]
53	Henry Markram	[107] [115] [116] [117] [119] [122] [124] [126]
54	Gregoris Mentzas (Gregory Mentzas)	[118] [134] [160]
55	Maria Miragaia	[191]
56	Jörg P. Müller	[123]
57	Timo Münster	[154]
58	Christian Naeger	[132]
59	Thomas Natschläger	[90] [93] [104] [105] [108] [113] [116] [119] [125] [130]
60	Bernhard Nessler	[165] [172] [179] [187]
61	Gerhard Neumann	[152] [155] [177] [190]
62	Danko Nikolic	[144]
63	Pekka Orponen	[67] [74] [79]
64	Dejan Pecevski	[150] [157] [186]
65	Jan Peters	[177]
66	Rolf Pfeifer	[189]
67	Michael Pfeiffer	[155] [165] [172] [179]
68	José Carlos Príncipe (José C. Príncipe, Jose C. Principe)	[149]
69	Pavel Pudlák	[16] [39]
70	Luc De Raedt	[163] [164] [168]
71	Berthold Ruf	[66] [88]
72	Beat Schmid	[127]
73	Michael Schmitt	[75] [77] [87]
74	Georg Schnitger	[10] [15] [29] [31] [40]
75	Amir Schorr	[13]
76	Andrew B. Schwartz	[173]
77	Jan Seeburger	[162]
78	Wolf Singer	[144]
79	Theodore A. Slaman	[23] [25] [35]
80	Eduardo D. Sontag	[31] [73] [81] [86] [92] [99] [104] [135] [142] [147]
81	Florian Stahl	[140]
82	Romesh Stanislaus	[191]
83	Andreas Steimer	[169]
84	Gerald Steinbauer	[102]
85	Veda C. Storey	[194]
86	Klaus Sutner	[20]
87	Mario Szegedy	[16] [39]
88	Endre Szemerédi	[15] [40]
89	György Turán	[16] [21] [24] [27] [28] [34] [39] [40] [47]
90	Kei Uchizawa	[139] [141] [145]
91	Upkar Varshney	[161] [195]
92	Manfred K. Warmuth	[60] [69] [80] [95]
93	Gerhard J. Woeginger	[44] [56] [96]
94	Anthony M. Zador	[76] [85] [104]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page