2013

N. Angenstein and A. Brechmann.
Division of labor between left and right human auditory cortices during the processing of intensity and duration.
NeuroImage, 83:1-11, 2013.
http ]

S. Behrens, A. Al-Hamadi, E. Redweik, and R. Niese.
Automatic Realtime User Performance-Driven Avatar Animation.
In Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on, pages 2694-2699, 2013.
DOI ]

S. Behrens, A. Al-Hamadi, R. Niese, and E. Redweik.
Automatic User-Specific Avatar Parametrisation and Emotion Mapping.
In Advanced Concepts for Intelligent Vision Systems - 15th International Conference (ACIVS'13, pages 192-202, 2013.

P. Bercher and S. Biundo.
Encoding Partial Plans for Heuristic Search.
In Proceedings of the 4th Workshop on Knowledge Engineering for Planning and Scheduling (KEPS 2013) at ICAPS 2013, pages 11-15, 2013.
.pdf ]

P. Bercher, T. Geier, and S. Biundo.
Using State-Based Planning Heuristics for Partial-Order Causal-Link Planning.
In Advances in Artificial Intelligence, Proceedings of the 36th German Conference on Artificial Intelligence (KI 2013), pages 1-12, 2013.
.pdf ]

P. Bercher, T. Geier, F. Richter, and S. Biundo.
On Delete Relaxation in Partial-Order Causal-Link Planning.
In Proceedings of the 2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI 2013), pages 674-681, 2013.
.pdf ]

P. Bercher, F. Ginter, and S. Biundo.
Search Strategies for Partial-Order Causal-Link Planning with Preferences.
In 27th PuK Workshop ”Planen, Scheduling und Konfigurieren, Entwerfen” (PuK 2013), pages 29-40, 2013.
.pdf ]

R. Böck, S. Glüge, and A. Wendemuth.
Dempster-Shafer Theory with Smoothness.
In Proceedings of the 3rd International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2013), pages 13-21, Springer, 2013.

R. Böck, N. Degens, D. Heylen, S. Louchart, W. Minker, L.-P. Morency, A. Nazir, F. Schwenker, and I. Siegert, editors.
Joint Proceedings of the 2013th T2CT and CCGL Workshops.
Otto von Guericke University Magdeburg, 2013.

R. Böck, S. Glüge, I. Siegert, and A. Wendemuth.
Annotation and Classification of Changes of Involvement in Group Conversation.
In Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013), pages 803-808, IEEE, 2013.
.pdf ]

R. Böck, K. Limbrecht-Ecklundt, I. Siegert, S. Walter, and A. Wendemuth.
Audio-Based Pre-classification for Semi-automatic Facial Expression Coding.
In Human-Computer Interaction. Towards Intelligent and Implicit Interaction, volume 8008 of Lecture Notes in Computer Science, pages 301-309. Springer Berlin, Heidelberg, 2013.
DOI ]

T. Brosch, F. Schwenker, and H. Neumann.
Attention-Gated Reinforcement Learning in Neural Networks-A Unified View.
In ICANN, volume 8131 of LNCS, pages 272-279, Springer, 2013.

M. Frey, M. Schels, M. Glodek, S. Meudt, M. Kächele, and F. Schwenker.
Investigation of Fuzzy Support Vector Machines.
In Proceedings of the Statistical Computing 2013, Ulmer Informatik Berichte, pages 17-17, Springer, 2013.

J. Frommer, D. Rösner, J. Lange, and M. Haase.
Giving Computers Personality? Personality in Computers is in the Eye of the User.
In Coverbal Synchrony in Human-Machine Interaction, pages 41-71. CRC Press, 2013.
DOI ]

M. Glodek, T. Geier, S. Biundo, F. Schwenker, and G. Palm.
Recognizing User Preferences Based on Layered Activity Recognition and First-Order Logic.
In Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on, pages 648-653, 2013.
DOI ]

M. Glodek, S. Reuter, M. Schels, K. Dietmayer, and F. Schwenker.
Kalman Filter Based Classifier Fusion for Affective State Recognition.
In Proceedings of the International Workshop on Multiple Classifier Systems (MCS), volume 7872 of Lecture Notes in Computer Science (LNCS), pages 85-94, Springer, 2013.
DOI ]

M. Glodek, M. Schels, and F. Schwenker.
Ensemble Gaussian mixture models for probability density estimation.
Computational Statistics, 27(1):127-138, 2013.
DOI ]

M. Glodek, E. Trentin, F. Schwenker, and G. Palm.
Hidden Markov Models with Graph Densities for Action Recognition.
In Proceedings of the International Joint Conference on Neural Networks (IJCNN), pages 964-969, 2013.

S. Glüge, R. Böck, and A. Wendemuth.
Auto-Encoder Pre-Training of Segmented-Memory Recurrent Neural Networks.
In Proceedings of the European Symposium on Artificial Neural Networks, pages 29-34, Ciaco-i6doc.com, 2013.
.pdf ]

T. Gossen, M. Kotzyba, S. Stober, and A. Nürnberger.
Sprachgesteuerte Benutzerschnittstellen zur Suche für junge Nutzer.
In 43. Jahrestagung der Gesellschaft für Informatik, pages 113-115, 2013.
.pdf ]

T. Gossen, M. Kotzyba, S. Stober, and A. Nürnberger.
Voice-Controlled Search User Interfaces for Young Users.
In 7th annual Symposium on Human-Computer Interaction and Information Retrieval, 2013.
.pdf ]

T. Gossen, M. Nitsche, J. Vos, and A. Nürnberger.
Adaptation of a Search User Interface Towards User Needs: A Prototype Study with Children & Adults.
In Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval, HCIR '13, pages 31-310, ACM, 2013.
DOI | http ]

T. Gossen and A. Nürnberger.
Specifics of information retrieval for young users: A survey.
Information Processing & Management, 49(4):739-756, 2013.
DOI ]

S. Handrich and A. Al-Hamadi.
A Robust Method for Human Pose Estimation Based On Geodesic Distance Features.
In IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 906-911, 2013.
DOI ]

S. Handrich and A. Al-Hamadi.
Upper-Body Pose Estimation Using Geodesic Distances and Skin-Color.
In Advanced Concepts for Intelligent Vision Systems: 15th International Conference, ACIVS 2013, volume 8192 of Lecture Notes in Computer Science, pages 150-161. Springer International Publishing, 2013.
DOI ]

K. Hartmann, I. Siegert, D. Philippou-Hübner, and A. Wendemuth.
Emotion Detection in HCI: From Speech Features to Emotion Space.
In Analysis, Design, and Evaluation of Human-Machine Systems, volume 12/1, pages 288-295. International Federation of Automatic Control, 2013.
DOI ]

H. Hoffmann, H. C. Traue, K. Limbrecht-Ecklundt, S. Walter, and H. Kessler.
Static and Dynamic Presentation of Emotions in Different Facial Areas: Fear and Surprise Show Influences of Temporal and Spatial Properties.
Psychology, 4(8):663-668, 2013.
DOI ]

F. Honold, F. Schüssel, M. Munding, and M. Weber.
Tangible Context Modelling for Rapid Adaptive System Testing.
In Proceedings of the 9th International Conference on Intelligent Environments- IE'13, 2013.
video / short paper.
.pdf ]

F. Honold, F. Schüssel, and M. Weber.
Adaptive Multimodal Fusion and Fission with Uncertain Data in Human Computer Interaction.
In Proceedings of the HCI International 2013, 2013.
poster / short paper.

F. Honold, F. Schüssel, M. Weber, F. Nothdurft, G. Bertrand, and W. Minker.
Context Models for Adaptive Dialogs and Multimodal Interaction.
In Proceedings of the 9th International Conference on Intelligent Environments- IE'13, 2013.
accepted long paper.
http ]

D. Hrabal, C. Kohrs, A. Brechmann, J.-W. Tan, S. Rukavina, and H. C. Traue.
Physiological Effects of Delayed System Response Time on Skin Conductance.
In Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: First IAPR TC3 Workshop, MPRSS 2012, pages 52-62. Springer Berlin Heidelberg, 2013.
DOI ]

M. Kächele and F. Schwenker.
Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition.
In Partially Supervised Learning, Lecture Notes in Computer Science, pages 21-35, Springer Berlin Heidelberg, 2013.
DOI | http ]

I. Kollia and B. Glimm.
Optimizing SPARQL Query Answering over OWL Ontologies.
Journal of Artificial Intelligence Research (JAIR), 48:253-303, 2013.
.pdf ]

P. Koprinkova-Hristova, M. Oubbati, and G. Palm.
Heuristic dynamic programming using echo state networks as online trainable adaptive critic.
J Adapt. Control Signal Process., 27:902-914, 2013.

A. Köpsel and A. Huckauf.
Evaluation of Static and Dynamic Freehand Gestures in Device Control.
In Proceedings of the Tilburg Gesture Research Meeting (TiGeR), 2013.

G. Krell, M. Glodek, A. Panning, I. Siegert, B. Michaelis, A. Wendemuth, and F. Schwenker.
Fusion of Fragmentary Classifier Decisions for Affective State Recognition.
In Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. First IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, 2012, Revised Selected Papers, volume 7742 of Lecture Notes in Artificial Intelligence, pages 116-130. Springer Berlin, Heidelberg, 2013.
DOI | .pdf ]

H. Lang, M. Klepsch, F. Nothdurft, T. Seufert, and W. Minker.
Are computers still social actors?
In CHI '13 Extended Abstracts on Human Factors in Computing Systems, CHI EA '13, pages 859-864, ACM, 2013.
DOI ]

G. Layher, M. A. Giese, and H. Neumann.
Learning Representations of Animated Motion Sequences—A Neural Model.
In Proc. 35th annual meeting of the Cognitive Science Society, 2013 (CogSci, 2013), 2013.
awarded for the Computational Modeling Prize, Perception/Action.

G. Layher and H. Neumann.
Combining form and motion-an integrated approach for learning biological motion representations.
Journal of Vision (VSS Abstract), 13(9):194-194, 2013.

D. Meissner, S. Reuter, and K. Dietmayer.
Road User Tracking at Intersections Using a Multiple-Model PHD Filter.
In IEEE Intelligent Vehicles Symposium (IV), pages 377-382, 2013.
http ]

D. Meissner, S. Reuter, B. Wilking, and K. Dietmayer.
Road User Tracking Using a Dempster-Shafer Based Classifying Multiple-Model PHD Filter.
In Proceedings of the 16th International Conference on Information Fusion, 2013.
.pdf ]

S. Meudt, M. Glodek, M. Schels, and F. Schwenker.
Multi-View Video Based Tracking and Audio-Visual Identification of Persons in a Human-Computer-Interaction Scenario.
In Proceedings of IEEE International Conference on Cybernetics (CybConf'13), pages 116-121, IEEE, 2013.

S. Meudt, D. Zharkov, M. Kächele, and F. Schwenker.
Multi Classifier Systems and Forward Backward Feature Selection Algorithms to Classify Emotional Coloured Speech.
In Proceedings of the International Conference on Multimodal Interaction (ICMI'13), ICMI 2013, pages 551-556, ACM, 2013.
http ]

R. Niese, P. Werner, and A. Al-Hamadi.
Accurate, Fast and Robust Realtime Face Pose Estimation Using Kinect Camera.
In Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on, pages 487-490, 2013.
DOI ]

F. Nothdurft, T. Heinroth, and W. Minker.
The Impact of Explanation Dialogues on Human-Computer Trust.
In HCI International 2013, pages 59-67, 2013.

F. Nothdurft, H. Lang, M. Klepsch, and W. Minker.
Bases of human-computer trust and explanations.
In CHI '13 Extended Abstracts on Human Factors in Computing Systems, CHI EA '13, pages 1737-1742, ACM, 2013.
DOI ]

G. Palm.
Neural associative memories and sparse coding.
Neural Networks, 37:165-171, 2013.
http ]

G. Palm and M. Glodek.
Towards Emotion Recognition in Human Computer Interaction.
In Neural Nets and Surroundings, volume 19, pages 323-336, Springer, 2013.

D. Ponomaryov and M. Soutchanski.
Progression of Decomposed Situation Calculus Theories.
In Proceedings of the 27th AAAI Conference on ArtificialIntelligence, AAAI Press, 2013.
http ]

D. Ponomaryov and D. Vlasov.
Concept Definability and Interpolation in Enriched Models of EL-TBoxes.
In Informal Proceedings of the 26th International Workshop on Description Logics, volume 1014 of CEUR Workshop Proceedings, pages 898-916, CEUR-WS.org, 2013.

O. Rashid Ahmad and A. Al-Hamadi.
A New Approach for Hand Augmentation Based on Patch Modelling.
In Advanced Concepts for Intelligent Vision Systems: 15th International Conference, ACIVS 2013, pages 162-171. Springer International Publishing, 2013.
DOI ]

F. Raudies and H. Neumann.
Modeling binocular and motion transparency processing by local center-surround interactions.
In Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts. IGI Global, 2013.

F. Raudies, S. Ringbauer, and H. Neumann.
A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self- Motion.
Neural Computation, 25(9):2421-2449, 2013.
DOI ]

F. Raudies, S. Ringbauer, and H. Neumann.
A bio-inspired, computational model suggests velocity gradients of optical flow encode ordinal depth at surface borders and globally they encode self-motion.
Neural Computation, 25:160-176, 2013.

S. Reuter, D. Meissner, B. Wilking, and K. Dietmayer.
Cardinality Balanced Multi-Target Multi-Bernoulli Filtering Using Adaptive Birth Distributions.
In Proceedings of the 16th International Conference on Information Fusion, 2013.
.pdf ]

S. Reuter, B.-T. Vo, B. Wilking, D. Meissner, and K. Dietmayer.
Divergence Detectors for the δ-Generalized Labeled Multi-Bernoulli Filter.
In Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on, 2013.
http ]

S. Reuter, B. Wilking, J. Wiest, M. Munz, and K. Dietmayer.
Real-Time Multi-Object Tracking using Random Finite Sets.
Aerospace and Electronic Systems, IEEE Transactions on, 49(4):2666-2678, 2013.

S. Sadek, A. Al-Hamadi, G. Krell, and B. Michaelis.
Affine-Invariant Feature Extraction for Activity Recognition.
ISRN Machine Vision, 2013.
DOI ]

S. Sadek, A. Al-Hamadi, and B. Michaelis.
Toward Real-world Activity Recognition: An SVM Based System Using Fuzzy Directional Features.
WSEAS Transactions on Information Science and Applications, 10(4):116pp., 2013.

A. Saeed, A. Al-Hamadi, and R. Niese.
The effectiveness of using geometrical features for facial expression recognition.
In Cybernetics (CYBCONF), 2013 IEEE International Conference on, pages 122-127, 2013.
DOI ]

M. Schels, M. Glodek, S. Meudt, S. Scherer, M. Schmidt, G. Layher, S. Tschechne, T. Brosch, D. Hrabal, S. Walter, G. Palm, H. Neumann, H. Traue, and F. Schwenker.
Multi-modal classifier-fusion for the recognition of emotions.
In Coverbal synchrony in Human-Machine Interaction, chapter 4, pages 73-98. CRC Press, 2013.

M. Schels, M. Glodek, G. Palm, and F. Schwenker.
Revisiting AVEC 2011 - An Information Fusion Architecture, volume 19 of Neural Nets and Surroundings.
pages 385-393.
Springer, 2013.

M. Schels, S. Scherer, M. Glodek, H. A. Kestler, G. Palm, and F. Schwenker.
On the Discovery of Events in EEG Data utilizing Information Fusion.
Computational Statistics: Special Issue: Proceedings of Statistical Computing 2010, 28(1):5-18, 2013.

S. Scherer, J. Kane, C. Gobl, and F. Schwenker.
Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification.
Journal on Computer Speech and Language, 27(1):263-287, 2013.
http ]

M. R. Schiller and B. Glimm.
Towards Explicative Inference for OWL.
In Proceedings of the 2013 International Description Logic Workshop (DL 2013), volume 1014, page online, CEUR Workshop Proceedings, 2013.
.pdf ]

D. Schmidt, H. Sadri, A. Szewieczek, M. Sinapius, P. Wierach, I. Siegert, and A. Wendemuth.
Characterization of Lamb wave attenuation mechanisms.
In Proceedings of SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, volume 8695, pages 869503-869510, 2013.
DOI ]

F. Schwenker.
Ensemble Methods: Foundations and Algorithms [Book Review].
IEEE Comp. Int. Mag., 8(1):77-79, 2013.
http ]

F. Schwenker, S. Scherer, and L.-P. Monrency, editors.
Proceedings of the 1st International Workshop on Multimodal Pattern Recognition of Social Signals in Human Computer Interaction (MPRSS'12).
LNCS 7742. Springer, 2013.

I. Siegert, R. Böck, and A. Wendemuth.
The Influence of Context Knowledge for Multi-modal Affective Annotation.
In Human-Computer Interaction. Towards Intelligent and Implicit Interaction, volume 8008 of Lecture Notes in Computer Science, pages 381-390. Springer Berlin, Heidelberg, 2013.
DOI | .pdf ]

I. Siegert, M. Glodek, A. Panning, G. Krell, F. Schwenker, A. Al-Hamadi, and A. Wendemuth.
Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions.
In IEEE International Conference on Cybernetics (CYBCONF), pages 132-137, 2013.
DOI | .pdf ]

I. Siegert, K. Hartmann, S. Glüge, and A. Wendemuth.
Modelling of Emotional Development within Human-Computer-Interaction.
Kognitive Systeme, 1, 2013.
.pdf ]

I. Siegert, K. Hartmann, D. Philippou-Hübner, and A. Wendemuth.
Human Behaviour in HCI: Complex Emotion Detection through Sparse Speech Features.
In Human Behavior Understanding, volume 8212 of Lecture Notes in Computer Science, pages 246-257. Springer International Publishing, 2013.
DOI | .pdf ]

I. Siegert, D. Prylipko, K. Hartmann, R. Böck, and A. Wendemuth.
Investigating the Form-Function-Relation of the Discourse Particle ?hm? in a Naturalistic Human-Computer Interaction.
In Recent Advances of Neural Network Models and Applications, volume 26 of Smart Innovation, Systems and Technologies, pages 387-394. Springer, 2014.
DOI | .pdf ]

A. Steigmiller, B. Glimm, and T. Liebig.
Nominal Schema Absorption.
In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), IJCAI/AAAI, 2013.

M. Thom and G. Palm.
Sparse Activity and Sparse Connectivity in Supervised Learning.
J. of Machine Learning Research, 14:1091-1143, 2013.
http ]

M. Tornow, A. Al-Hamadi, and V. Borrmann.
Gestic-Based Human Machine Interface for Robot Control.
In IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 2706-2711, 2013.
DOI ]

M. Tornow, A. Al-Hamadi, and V. Borrmann.
A multi-agent mobile robot system with environment perception and HMI capabilities.
In IEEE International Conference on Signal and Image Processing Applications (ICSIPA), pages 252-257, 2013.
DOI ]

H. Traue, F. Ohl, A. Brechmann, F. Schwenker, H. Kessler, K. Limbrecht, H. Hoffman, S. Scherer, M. Kozyba, A. Scheck, and S. Walter.
Framework for Emotions and Dispositions in Man-Computer Interaction.
In Coverbal Synchrony in Human-Machine Interaction, Artificial Neural Networks in Pattern Recognition, pages 99-140. CRC Press, 1, 2013.

H. C. Traue, F. Ohl, A. Brechmann, F. Schwenker, H. Kessler, K. Limbrecht, H. Hoffman, S. Scherer, M. Kotzyba, A. Scheck, and S. Walter.
A Framework for Emotions and Dispositions in Man-Companion Interaction.
In Coverbal Synchrony in Human-Machine Interaction, pages 98-140. CRC Press, 2013.
.pdf ]

S. Tschechne and H. Neumann.
Intermediate-Level Motion Representations Account for the Hollow Face Illusion.
Perception, 42 (abstract suppl.), pages 99-99, 2013.

S. Tschechne, G. Layher, and H. Neumann.
A Biologically Inspired Model for the Detection of External and Internal Head Motions.
In Artificial Neural Networks and Machine Learning – ICANN 2013, volume 8131 of Lecture Notes in Computer Science, pages 232-239. Springer Berlin Heidelberg, 2013.
DOI ]

J. Tümler, A. Kernchen, R. Mecke, F. Saxen, A. Al-Hamadi, A. Köpsel, and A. Huckauf.
Companion-basiertes Assistenzsystem für die Mitarbeiterschulung in der Automobilindustrie.
Fachtagung Digital Engineering, 2013.

S. Ultes and W. Minker.
Improving Interaction Quality Recognition Using Error Correction.
In Proceedings of the SIGDIAL 2013 Conference, pages 122-126, Association for Computational Linguistics, 2013.
http ]

S. Ultes, A. Schmitt, and W. Minker.
On Quality Ratings for Spoken Dialogue Systems - Experts vs. Users.
In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 569-578, Association for Computational Linguistics, 2013.
http ]

B. Vlasenko, D. Philippou-Hübner, and A. Wendemuth.
Determining the smallest emotional unit for level of arousal classification.
In Proceedings of the ACII 2013 for 5th International Workshop on Affective Interaction in Natural Environments (AFFINE), pages 734-739, 2013.

B. Vlasenko, D. Philippou-Hübner, and A. Wendemuth.
Parameter optimization issues for cross-corpora emotion classification.
In Proceedings of the Affective Computing and Intelligent Interaction, ACII 2013, pages 454-459, 2013.

S. WALTER, K. JONGHWA, D. HRABAL, S. C. CRAWCOUR, H. KESSLER, and H. C TRAUE.
Transsituational Individual-Specific Biopsychological Classification of Emotions.
IEEE transactions on systems, man, and cybernetics. Systems, 43(4):988-995, 2013.
DOI ]

Z.-H. Zhou and F. Schwenker.
Proceedings of the 2nd IAPR Workshop on Partially Supervised Learning (PSL'13).
LNAI 8138. Springer, 2013.


Export: BibTeX 2013