Selected publications:

2025

• Venkatesh, S.M., Macaluso, A., Arenas, D., Klusch, M. & Dengel, A. (2025): i-QLS: Quantum-Supported Algorithm for Least Squares Optimization in Non-Linear Regression. Proc. 25th International Conference on Computational Science (ICCS). Springer.
• Sinha, A., Macaluso, A., & Klusch, M. (2025). Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars. Quantum Machine Intelligence, 7. Springer. Also: arXiv:2311.12875v1 (2023).

2024

• Wanner, L., et al. (2024). Support of Migrant Reception, Integration and Social Inclusion by Intelligent Technologies. Information. MDPI
• Parmiggiani, et.al. (2024). A New Deep Learning Model to Detect Gamma-Ray Bursts in the AGILE Anticoincidence System. The Astrophysical Journal, 973(1). IOP.
• Clissa, L., et al. (2024). Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy. Scientific Data, 11(1). Nature.
• Srinivasan, A., Geng, A., Macaluso, A., Kiefer-Emmanouilidis, M., & Moghiseh, A. (2024). Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation. arXiv:2410.10713.
• Venkatesh, S.M., Macaluso, A., Nuske, M., Klusch, M., & Dengel, A. (2024): Q-Seg: Quantum Annealing-based Unsupervised Image Segmentation. IEEE Computer Graphics and Applications, 44. IEEE. Also: arXiv:2311.12912v1 (2023)
• Klusch, M., Lässig, J., & Wilhelm F.K. (eds.) (2024). Special Issue on Quantum AI. Künstliche Intelligenz, 38(4). Springer.
• Klusch, M., Lässig, J., Müssig, D., Macaluso, A., & Wilhelm, F.K. (2024). Quantum Artificial Intelligence: A Brief Survey. Künstliche Intelligenz, 38(4). Springer. Also: arxiv:2408.10726
• Klusch, M., Lässig, J. & Wilhelm, F.K. (2024). Quantum Computing and AI. Künstliche Intelligenz, 38(4), Editorial. Springer.
• Klusch, M., Lässig, J. & Wilhelm, F.K. (2024). Quantum Technologies and AI - Interview with Tommaso Calarco. Künstliche Intelligenz, 38(4), Springer. Also: arxiv.org/abs/2408.16014
• Venkatesh, S., Macaluso, A., Nuske, M., Klusch, M., & Dengel, A. (2024). Quantum Annealing-Based Method for Efficient Coalition Formation Among LEO Satellites. Proc. IEEE Workshop on Quantum Software Engineering and Technology (QSET).
• Macaluso, A. (2024): Quantum Supervised Learning. Künstliche Intelligenz, 38(4). Springer. Also: arxiv:2407.17161
• Stollenwerk, T. et al. (2024). Q(AI)2: Quantum Artificial Intelligence for the Automotive Industry. Künstliche Intelligenz, 38(4). Springer.
• Venkatesh, S., Macaluso, A., Nuske, M., Klusch, M. & Dengel, A. (2024). Qubit-Efficient Variational Quantum Algorithms for Image Segmentation. Proc. IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE.
• Macaluso, A., Clissa, L., Lodi, S., & Sartori, C. (2024). An efficient quantum algorithm for ensemble classification using bagging. IET Quantum Communication, 5(3). Wiley.

2023

• Antakli, A.; Kazimov, A.; Spieldenner, D.; Jaramillo, E.; Zinnikus, I.; Klusch, M. (2023): AJAN: An Engineering Framework for Semantic Web-Enabled Agents and Multi-Agent Systems. Proc. 21st International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS), LNCS, Springer.
• Gupta, D.; Klusch, M. (2023): Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving.  Proc. 34th IEEE International Intelligent Vehicles Symposium (IV), IEEE.  Also: arXiv:2301.00650v1 (2022)
• Sprenger, J.; Hell, L.; Klusch, M.; Kobayashi, Y.; Kudo, S.; Mueller, C. (2023): Cross-Cultural Behavior Analysis of Street-Crossing Pedestrians in Japan and Germany. Proc. 34th IEEE International Intelligent Vehicles Symposium (IV), IEEE.
• Venkatesh, S.; Macaluso, A.; Klusch, M. (2023): QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games. Proc. ACM International Conference on Computing Frontiers (CF), ACM.
• Macaluso, A.; Klusch, M.; Lodi, S.; Sartori, S. (2023): MAQA: A Quantum Framework for Supervised Learning. Quantum Information Processing, 22, Springer
• Venkatesh, S.; Macaluso, A.; Klusch, M. (2023): GCS-Q: Quantum Graph Coalition Structure Generation. Proc. International Conference on Computational Science (ICCS), Springer. Also: arXiv:2212.11372v1 (2022)
• Inajetovic, M.A.; Orazi, F., Macaluso, A.; Lodi, S; Sartori, C. (2023): Enabling Non-Linear Quantum Operations through Variational Quantum Splines. Proc. International Conference on Computational Science (ICCS), Springer.
• Cellini, L.; Macaluso, A. & Lombardi, M. (2023): QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing Problem. Scientific Reports, 14 (1), 5142, Nature.

2022

• Mueller, C; Vogt, R.; Nonnengart, A.; Klusch, M.; Meyer-Vitali, A.  (2022): Security of AI Systems: Fundamentals - Security Aspects of  Symbolic and Hybrid AI Systems.
  Report of Federal Office for Information Security (BSI), Bonn, Germany.
• Venkatesh, S.; Macaluso, A.; Klusch, M. (2022): BILP-Q: Quantum Coalition Structure Generation. Proc. 19th ACM International Conference on Computing Frontiers. ACM.
• Macaluso, A.; Orazi, F.; Klusch, M.; Lodi, S.; Sartori, C. (2022): A Variational Algorithm for Quantum Single Layer Perceptron. Proc. 8th International Conference on Machine Learning, Optimization, and Data Science (LOD); LNCS; Springer

2021

• Antakli, A.; Vozniak, I.; Lipp, N.; Klusch, M.; Mueller, C: (2021): HAIL: Modular Agent-Based Pedestrian Imitation Learning. Proc. 19th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS). LNCS, Springer.
• Hell, L.; Sprenger, J.; Klusch, M.; Kobayashi, Y.; Mueller, C. (2021): Pedestrian Behavior in Japan and Germany: A Review. Proc. 32nd IEEE International Intelligent Vehicles Symposium (IV). IEEE.
• Muscholl, N.; Klusch, M.; Gebhard, P.; Schneeberger, T. (2021): EMIDAS: Explainable Social Interaction-Based Pedestrian Intention Detection Across Street. Proc. 36th ACM Symposium on Applied Computing (SAC), ACM
• Wanner, L.;  Klusch, M.; Jaramillo Rojas, G.E.; et al. (2021): Towards a Versatile Intelligent Conversational Agent as Personal Assistant of Migrants. Proc. 19th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS). LNCS, Springer.

2020

• Poibrenski, A.; Klusch, M.; Vozniak, I.; Mueller, C. (2020): Multimodal Multi-Pedestrian Path Prediction for Autonomous Cars. Applied Computing Review, 20(4), ACM
• Muscholl, N.; Poibrenski, A.; Klusch, M.; Gebhard, P. (2020): SIMP3: Social Interaction-Based Multi-Pedestrian Path Prediction By Self-Driving Cars. Proc. 10th  IEEE International Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS), IEEE.
• Vozniak, I.; Klusch, M.; Antakli, A.; Mueller, C. (2020): InfoSalGAIL: Visual Attention-Empowered Imitation Learning of Pedestrian Behavior in Critical Traffic Scenarios. Proc. 12th IEEE International Conference on Neural Computation Theory and Applications (NCTA), IEEE.
• Poibrenski, A.; Klusch, M.; Vozniak, I.; Mueller, C. (2020): M2P3: Multimodal Multi-Pedestrian Path Prediction by Self-Driving Cars With Egocentric Vision. Proc. 35th ACM International Symposium on Applied Computing (SAC), ACM

2019

• Nonnengart, A.; Klusch, M.; Mueller, C. (2019): CriSGen: Constraint-based Generation of Critical Scenarios for Autonomous Vehicles. Proc. International Workshop on Formal Methods for Autonomous Systems (FMAS), LNCS, Springer
• Pusse, F.; Klusch, M. (2019): Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars. Proc. 30th IEEE International Intelligent Vehicles Symposium (IV), IEEE.
• Dahmen, T.; Trampert, P.; Boughorbel, F.; Sprenger, J.; Klusch, M.; Fischer, K.; Kübel, C.; Slusallek, P. (2019): Digital Reality: A Model-Based Approach to Supervised Learning from Synthetic Data. AI Perspectives, Springer

2018

• Mazzola, L.; Waibel, P.; Kapahnke, P.; Klusch, M. (2018): Smart Process Optimization and Adaptive Execution with Semantic Services in Cloud Manufacturing. Information, 9(11), MDPI
• Mazzola, L.; Kapahnke, P.; Klusch, M. (2018): Semantic Composition of Optimal Process Service Plans in Manufacturing with ODERU. Web Information Systems, 14(4), Emerald.

2017

• Mazzola, L.; Kapahnke, P.; Klusch, M. (2017): Pattern-Based Semantic Composition of Optimal Process Service Plans with ODERU. Proc. 19th ACM  International Conference on Information Integration and Web-based Applications and Services (iiWAS); Salzburg, Austria, ACM.
• Mazzola, L.; Kapahnke, P. (2017): DLP: A Web-based Facility for Exploration and Basic Modification of Ontologies by Domain Experts. Proc. 19th ACM  International Conference on Information Integration and Web-based Applications and Services (iiWAS); Salzburg, Austria, ACM.
• Da Silva, J.; Oliveira, G.; Lodi, S.; Klusch, M. (2017): Clustering Distributed Short Time Series with Dense Patterns.  Proc. 16th IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE.
• Mathieu, C.; Klusch, M.; Glimm, B. (2017): QSMat: Query-Based Materialization for Efficient RDF Stream Processing. Proc. 8th International Conference on Knowledge Engineering and Semantic Web (KESW), CCIS 786, Springer.
• Nedwed, F.; Zinnikus, I.; Nukhayev, M.; Klusch, M.; Mazzola, L. (2017): shopST: Flexible Job-Shop Scheduling with Agent-Based Simulated Trading. Proc. 15th German Conference on Multiagent System Technologies (MATES); Leipzig, Germany; LNAI 10413, Springer.
• Zinnikus, I.; Antakli, A.; Kapahnke, P.; Klusch, M.; Krauss, C.; Nonnengart, A.; Slusallek, P. (2017): Integrated Semantic Fault Analysis and Worker Support for Cyber-Physical Production Systems. Proc. 19th IEEE International Conference on Business Informatics (CBI), IEEE.
• Mazzola, L.; Kapahnke, P.; Klusch, M. (2017): ODERU: Optimisation of Semantic Service-Based Processes in Manufacturing. Proc. 8th International Conference on Knowledge Engineering and Semantic Web (KESW), CCIS 786, Springer.
• Mazzola, L.; Kapahnke, P.; Waibel, P.; Hochreiner, C.; Klusch, M. (2017): FCE4BPMN: On-demand QoS-based Optimised Process Model Execution in the Cloud. Proc. 23rd IEEE International Technology Management Conference (ITMC), IEEE.

2016

• Mazzola, L.; Kapahnke, P.; Vujic, M.; Klusch, M. (2016): CDM-Core: A Manufacturing Domain Ontology in OWL2 for Production and Maintenance. Proc. 8th International Conference on Knowledge Engineering and Ontology Development (KEOD), Porto, Portugal.
• Da Silva, J., Klusch, M.; Lodi, S. (2016): Privacy-Awareness of Distributed Data  Clustering Algorithms Revisited. Proc. 15th International Symposium on Intelligent Data Analysis (IDA), Stockholm, Sweden; LNCS, Springer. CORE: A
• Antakli, A.; Zinnikus, I.; Klusch, M. (2016): ASP-Driven BDI-Planning Agents in Virtual 3D Environments. Proc. 14th German Conference on Multiagent System Technologies (MATES), Klagenfurt, Austria; LNAI 9872, Springer.
• Mihailescu, R.; Ossowski, S.; Klusch, M. (2016): eCOOP: Applying Dynamic Coalition Formation to the Power Regulation Problem in Smart Grids. Computational Intelligence, Wiley.
• Klusch, M.; Kapahnke, P.; Schulte, S.; Lecue, F.; Bernstein, A. (2016): Semantic Web Service Search: A Brief Survey. Kuenstliche Intelligenz, 30(2), Springer.

2015

• Kahl, G.; Klusch, M.; Zinnikus, I.; Schimmelpfennig, J.; Zapp, M. (2015): ADIGE: Semantic Business Process Management for Smart Retail Environments. Proc. 17th ACM International Conference on Information Integration and Web-based Applications and Services (iiWAS), Brussels, Belgium;  ACM.
• Mathieu, C.; Klusch, M. (2015): Accelerated Steiner Tree Problem Solving on GPU with CUDA. Proc. 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP); Springer
• Klusch, M.; Meshram, A.; Schuetze, A.; Helwig, N. (2015): ICM-Hydraulic: Semantics-Empowered Condition Monitoring of Hydraulic Machines. Proc. 11th International Conference on Semantic Systems (SEMANTiCS); Vienna, Austria; ACM
• Degenbaeva, C.; Klusch, M. (2015): Critical Node Detection Problem Solving on GPU and in the Cloud. Proc. 17th IEEE International Conference on High-Performance Computing and Communications  (HPCC); New York, USA.
• Cao, X.; Kapahnke, P.; Klusch, M. (2015): SPSC: Efficient Composition of Semantic Services in Unstructured P2P Networks. Proc. 12th Extended Semantic Web Conference (ESWC); LNCS 9088, Springer. CORE: A

2014

• Klusch, M.; Kapahnke, P.; Cao, X.; Rainer, B.; Timmerer, C.; Mangold, S. (2014): MyMedia: Mobile Semantic Peer-to-Peer Video Search and Live Streaming. Proc. 11th ACM International Conference on Mobile and Ubiquitous Systems (Mobiquitous); London, UK; ACM Press. CORE: A
• Kompatsiaris, I.; Diplaris, S.; Corney, D.; Heise, N.; Klusch, M.; Jaho, E.; Geurts, J.; Liu, Y.; Petkos, G.; Papadopoulos, S.; Sarris, N.; Goker, A.; Spangenberg, J. (2014): Real-Time Social Media Indexing and Search. Proc. International Broadcasting Convention (IBC), Amsterdam, Netherlands.
• Schulte, S.; Hoenisch, P.; Hochreiner, C.; Dustdar, S.; Klusch, M.; Schuller, D. (2014): Towards Process Support for Cloud Manufacturing.  Proc. 18th IEEE Intern. Conference on Enterprise Distributed Object Computing (EDOC), Ulm, Germany
• Zinnikus, I.; Cao, X.; Fischer, K. (2014): Agent-supported collaboration and ineroperability for networked enterprises: Modelling interactions and service compositions. Computers in Industry, 64(8), Elsevier.
• Zinnikus, I.; Byelozyorov, S.; Cao, X.; Klusch, M.; Krauss, C.; Nonnengart, A.; Spieldenner, T.; Warwas, S.; Slusallek, P. (2014): A Collaborative Virtual Workspace for Factory Configuration and Evaluation. EAI Endorsed Transactions on Collaborative Computing, ICST.
• Klusch, M.; Meshram, A.; Kapahnke, P.; Schuetze, A. (2014): ICM-Wind: Semantics-Empowered Fluid Condition Monitoring of Wind Turbines. Proc. 29th ACM Symposium on Applied Computing (SAC); Korea; ACM Press. ERA: B
• Rainer, B.; Timmerer, C.; Kapahnke, P.; Klusch, M. (2014): Real-time Multimedia Streaming in Unstructured Peer-to-Peer Networks. Proc. 11th IEEE Consumer Communications and Networking Conference (CCNC); USA; IEEE Press.
• Klusch, M. (2014): Service Discovery. In: Alhajj, R.; Rokne, J. (eds.), Encyclopedia of Social Networks and Mining (ESNAM), Springer.

2013

• Cao, X.; Klusch, M. (2013): Semantic-Driven K-Walker Search in Unstructured Peer-to-Peer Networks. IEEE Computer Society STC on Social Networking E-Letter, 1(3), IEEE. 
• Zinnikus, I.; Spieldenner, T.; Cao, X.; Klusch, M.; Krauss, C.; Nonnengart, A.;  Slusallek, P. (2013): A Collaborative Virtual Workspace for Factory Configuration and Evaluation. Proc. 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom); Austin TX, USA, Runner Up Award (2nd Best Paper).
• Cao, X.; Klusch, M. (2013): S2P2P: Semantic Search in Unstructured Peer-to-Peer Networks. Proc. 15th IEEE International Conference on High-Performance Computing and Communications (HPCC); IEEE Press. CORE: B
• Cao, X.; Klusch, M. (2013): Advanced Semantic Deep Search for 3D Scenes. Proc. 7th IEEE International Conference on Semantic Computing; Stanford CA, USA; IEEE Press.
• Mihailescu, R.C.; Klusch, M.; Ossowski, S. (2013): eCOOP: Privacy-Preserving Dynamic Coalition Formation for Power Regulation in the Smart Grid. Proc. 2nd International Conference on Agreement Technologies; Beijing, China; Springer.
• Cao, X.; Klusch, M. (2013): iRep3D: Efficient Semantic 3D Scene Retrieval. Proc. 8th International Conference on Computer Vision Theory and Applications. Barcelona, Spain; ScitePress.
• Guenel, A.; Meshram, A.; Bley, T.; Schuetze, A.; Klusch, M. (2013): Statistical and Semantic Multisensor Data Evaluation for Fluid Condition Monitoring in Wind Turbines. Proc. 16th International Conference on Sensors and Measurement Technology (SENSOR). Nuremberg, Germany.

2012

• Cao, X.; Klusch, M. (2012): Semantic Indexing for Efficient Multimedia Retrieval. Proc. 10th International Workshop on Adaptive Multimedia Retrieval; Copenhagen, Denmark; Springer, LNCS.
• Da Silva, J.C.; Oliveira, G.H.B.; Cortez, O.A.C.; Klusch, M. (2012): Density-based Pattern  Discovery in Time Series. Proc. 21st Brazilian Conference on Intelligent Systems (SBIA Symposium); Parana, Brazil; LNAI, Springer.
• Cao, X.; Klusch, M. (2012): Dynamic Semantic Data Replication for K-Random Search in Peer-to-Peer Networks. Proc. 11th International IEEE Symposium on Network Computing and Applications; Cambridge (USA); IEEE Press. CORE: A
• Klusch, M.; Kapahnke, P. (2012): The iSeM Matchmaker: A Flexible Approach For Adaptive Hybrid Semantic Service Selection. Web Semantics, 15, Elsevier.
• Klusch, M.; Kapahnke, P. (2012):Adaptive Signature-Based Semantic Selection of Services with OWLS-MX3. Multiagent and Grid Systems, 7, IOS Press.
• Klusch, M. (2012): The S3 Contest: Performance Evaluation of Semantic Service Matchmakers. In:  Blake, M.B.; Cabral, L.; König-Ries, B.; Küster, U.; Martin, D. (Eds.): Semantic Web Services – Advancement through Evaluation; 18 pages; Springer.
• Warwas, S.; Fischer, K.; Klusch, M.; Slusallek, P. (2012): Bochica: A Model-Driven Framework for Multi-Agent Systems. Proceedings of 4th International Conference on Agents and Artificial Intelligence (ICAART); Vilamoura, Portugal.

2011

• Richter, J.; Klusch, M.; Kowalczyk, R. (2011): Monotonic Mixing of Decision Strategies  for Agent-based Bargaining. Proc. 9th German Conference on  Multiagent System Technologies (MATES); Berlin, Germany, Springer, LNCS. Best Paper Award
• Klusch, M.; Cao, X.; Kapahnke, P.; Warwas, S. (2011): Semantics and Agents for Intelligent Simulation and Collaboration in the 3D Internet. Proc. 7th International Conference on Semantics, Knowledge and Grids (SKG), IEEE Press.
• Warwas, S.; Klusch, M. (2011): Making Multiagent System Designs Reusable: A Model-driven Approach. Proceedings of IEEE International Conference on Intelligent Agent Technology (IAT); Lyon, France. IEEE CS Press.

2010

• Klusch, M.; Kapahnke, P. (2010): iSeM: Approximated Reasoning for Adaptive Hybrid Selection of Semantic Services. Proceedings of 4th IEEE International Conference on Semantic Computing (ICSC), USA.
• Kapahnke, P.; Liedtke, P.; Nesbigall,S.; Warwas, S.; Klusch, M. (2010): ISReal:  An Open Platform for Semantic-Based 3D Simulations in the 3D Internet. Proceedings of 9th International Semantic Web Conference (ISWC), LNCS 6414, Springer. CORE: A
• Richter, J.; Klusch, M.; Kowalczyk, R. (2010): A Multistage Fuzzy Decision Approach for Modeling Adaptive Negotiation Strategies. 19th IEEE International Conference on Fuzzy Systems (FuzzIEEE), Barcelona, Spain. ERA: A

2009

• Klusch, M.; Kapahnke, P.; Zinnikus, I. (2009): Hybrid Adaptive Web Service Selection with SAWSDL-MX and WSDL Analyzer. Proceedings of 6th European Semantic Web Conference (ESWC), Heraklion, Greece, Springer. ERA: A
• Klusch, M.; Kapahnke, P. (2009): OWLS-MX3: An Adaptive Hybrid Semantic Service Matchmaker for OWL-S. CEUR Proceedings of 3rd International Workshop on Semantic Matchmaking and Resource Retrieval (SMR2) at ISWC, Washington, USA.
• Kuester, U.; Koenig-Ries, B.; Petrie, C.; Klusch, M. (2009): On the Evaluation of Semantic Web Service Frameworks. Semantic Web and Information Systems, IGI Global.
• Klusch, M.; Fries, B.; Sycara, K. (2009): OWLS-MX: A Hybrid Semantic Web Service Matchmaker for OWL-S Services. Web Semantics, 7(2), Elsevier
• Klusch, M.; Kaufer, F. (2009): WSMO-MX: A Hybrid Semantic Web Service Matchmaker. Web Intelligence and Agent Systems, 7(1), IOS Press.

2008

• Klusch, M.; Schubotz, R. (2008): Quantum Service Selection. Proceedings of International IEEE/ACM International Conference on Intelligent Agent Technology (IAT), Sydney, Australia, IEEE CS Press.
• Klusch, M.; Kapahnke, P.; Kaufer, F. (2008): Evaluation of Hybrid WSML Service Retrieval with WSMO-MX. IEEE International Conference on Web Services (ICWS), Beijing, China, IEEE Press. acceptance rate 18%. CORE: A
• Klusch, M.; Fries, B. (2008): Hybrid Semantic Web Service Retrieval: A Case Study with OWLS-MX. Proceedings of 2^nd IEEE International Conference on Semantic Computing (ICSC), Santa Clara, USA, IEEE Press.
• Klusch, M.; Xing, Z. (2008): Deployed Semantic Services for the Common User of the Web: A Reality Check. Proceedings of the 2^nd IEEE International Conference on Semantic Computing (ICSC), Santa Clara, USA, IEEE Press.
• Klusch, M. (2008): Semantic Web Service Coordination. [A Survey of Semantic Service Discovery and Composition Planning] In: M. Schumacher, H. Helin, H. Schuldt (Eds.) CASCOM - Intelligent Service Coordination in the Semantic Web. Chapter 4. Birkhäuser Verlag, Springer.
• Klusch, M. (2008): Semantic Web Service Description. In: M. Schumacher, H. Helin, H. Schuldt (Eds.) CASCOM - Intelligent Service Coordination in the Semantic Web. Chapter 3. Birkhäuser Verlag, Springer.
• L. Botelho, A. Fernandez, M. Klusch, L. Pereira, T. Santos, P. Pais, M. Vasirani (2008): Service Discovery. In: M. Schumacher, H. Helin, H. Schuldt (Eds.) CASCOM - Intelligent Service Coordination in the Semantic Web. Chapter 10. Birkhäuser Verlag, Springer

2007

• Klusch, M.; Schubotz, R. (2007): Programming and Simulation of Quantum  Search Agents. Proceedings of the IEEE International Conference on  Systems, Man and Cybernetics, Montreal, Canada, IEEE Press.
• Da Silva, J.C.; Klusch, M. (2007): Privacy-Preserving Discovery of Frequent Patterns in Time Series. Proceedings of the 7^th Industrial Conference on Data  Mining ICDM, Leipzig, Germany, Springer.
• Klusch, M.; Fries, B. (2007): Hybrid OWL-S Service Retrieval with OWLS- MX: Benefits and Pitfall. Proceedings of 1st International Joint Workshop on Semantic Matchmaking and Resource Retrieval, Busan, Korea, CEUR.

2006

• Kaufer, F.; Klusch, M. (2006): WSMO-MX: A Logic Programming Based  Hybrid Service Matchmaker. Proceedings of the 4^th IEEE European  Conference on Web Services (ECOWS 2006), IEEE CS Press, Zurich,  Switzerlanda.
• Basters, U.; Klusch, M. (2006): RS2D: Fast Adaptive Search for Semantic Web Services in Unstructured P2P Networks. Proceedings of the 5th International Semantic Web Conference (ISWC 2006), Athens, USA. CORE: A
• Basters, U.; Klusch, M. (2006): Risk Driven Semantic P2P Service Retrieval. Proceedings of the 6th IEEE International Conference on P2P Computing (P2P 2006), Cambridge, UK, IEEE CS Press.
• Klusch, M.; Gerber, A. (2006): Fast Composition Planning of OWL-S  Services and Application. Proceedings of the 4^th IEEE European Conference  on Web Services (ECOWS), IEEE CS Press, Zurich, Switzerland.
• Klusch, M., Hutter, D., Volkamer, M., Gerber, A. (2006): Provably secure execution of composed semantic web services. Proceedings of 1^st Intl. Workshop on Privacy and Security of Agent-Based Collaborative Environments (PSACE), Hakodate, Japan.
• Klusch, M.; Fries, B.; Sycara, K. (2006): Automated Semantic Web Service Discovery with OWLS-MX. Proceedings of 5th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Hakodate, Japan, ACM Press. CORE: A*
• Blankenburg, B.; Klusch, M. (2006): Privacy Preserving Coalition Forming Between Rational Service Agents. Journal Künstliche Intelligenz, KI 1/2006, BöttcherIT Verlag.
• Da Silva, J.C.; Klusch, M. (2006): Inference on Distributed Data Clustering. Engineering Artificial Intelligence Applications, 6(3), Elsevier. Extended version of ICDM 2005 paper.
• Schuldt, H.; Möller, R.; Klusch, M.; Gerber, A. (2006): Next Generation Applications in Healthcare Digital Libraries using Semantic Service Composition and Coordination. Health Informatics, SAGE Publications, USA

2005

• Da Silva, J.C.; Klusch, M.; Lodi, S., Moro, G-L. (2005): Secure Agent-Based Distributed Data Clustering. International Journal of Web Intelligence and Agent Systems, IOS Press
• Da Silva, J.C.; Giannella, C.; Bhargava, R.; Kargupta, H.; Klusch, M.; (2005): Distributed Data Mining and Agents. International Journal of Engineering Applications of Artifical Intelligence, 18(4), Elsevier Science
• Blankenburg, B.; Klusch, M. (2005): BSCA-F: Efficient fuzzy valued stable coalition forming among agents. Proc. IEEE Conference on Intelligent Agent Technology, Compiegne, France, IEEE Computer Society Press.
• Blankenburg, B.; Klusch, M. (2005): BSCA-P: Privacy-Preserving Coalition Formation. Proc. 3^rd German Conference on Multi-Agent System Technologies (MATES), Koblenz, Germany, Springer LNAI 3550 . Best Paper Award
• Da Silva, J.C.; Klusch, M. (2005): Inference on Distributed Data Clustering. Proc. 5th Industrial Conference on Data Mining (ICDM), Leipzig, Germany, July 2005
• Klusch, M. (2005): Coordination of Quantum Internet Agents. Proc. 4^th Intl. Conference on Autonomous Agents and Multiagent Systems (AAMAS), Utrecht, The Netherlands, CORE: A*
• Blankenburg, B.; Ramchurn; Gopal; Jennings, N.; Klusch, M. (2005): Trusted Kernel-Based Coalition Formation. Proc. 4^th Intl. Conference on Autonomous Agents and Multiagent Systems (AAMAS), Utrecht, The Netherlands. CORE: A*
• Klusch, M.; Fries, B.; Khalid, M. (2005): OWLS-MX: Hybrid Semantic Web Service Retrieval.1^st Intl. AAAI Fall Symposium on Agents and the Semantic Web, Arlington VA, USA
• Klusch, M.; Gerber, A.; Schmidt, M. (2005). Semantic Web Service Composition Planning with OWLS-Xplan.1^st Intl. AAAI Fall Symposium on Agents and the Semantic Web, Arlington VA, USA
• Blankenburg, B.; Klusch, M. (2005): BSCA-F: Fuzzy Bilateral Shapley Value Based Coalition Forming. IJCAI-2005 Workshop on Game Theory and Decision Theory (GTDT), Edinburgh, 2005.
• Helin, H. et al. (2005): Context-aware business application service coordination in mobile computing environments. Proc. Intl. AAMAS-2005 Workshop on Ambient Intelligence, Utrecht, July 2005.

2004

• Contreras, J.; Klusch, M.; Krawczyk, J. (2004): Numerical Solutions to Nash-Cournot Equilibria in Coupled Constraint Electricity Markets. IEEE Transactions on Power Systems, 19(1), February 2004
• Klusch, M. (2004): Toward Quantum Computational Agents. In: Computational Autonomy. M Nickles, M Rovatsos, G Weiss (eds.), LNAI series, 2969, Springer.
• Klusch M., Rist, T., Andre, E. Ishida, T., Nakashini, H. (2004): Interactive Information Agents and Interfaces. In: The Handbook of Human Factors in Web Design, RW Proctor, K-P L Vu (eds.), Lawrence Erlbaum Associates.
• Costa Da Silva, J; Klusch, M.; Lodi, S.; Moro, GL. (2004): Inference attacks in peer-to-peer homogeneous data mining. Proc. European Conference on Artificial Intelligence (ECAI), Valencia, Spain.
• Blankenburg, B.; Klusch, M. (2004): On Safe Kernel Stable Coalition Forming Among Agents. Proc. 3rd Int. Conference on Autonomous Agents and Multiagent Systems (AAMAS), New York, USA
• Klusch, M. (2004): Toward Intelligent Agents on Quantum Computers. Proc. 3rd Int. Conference on Autonomous Agents and Multiagent Systems (AAMAS), New York, USA

2003

• Gerber, A.; Klusch, M. (2003): AGRICOLA - Agents for mobile planning services in agriculture. German Journal on Artificial Intelligence KI, 2003 (in German).
• Gerber, A.; Russ, C.; Klusch, M. (2003). Supply Web Co-ordination by an Agent-based Trading Network with Integrated Logistics Services. International Journal of Electronic Commerce Research and Applications. Vol 2 (2), Elsevier, 2003.
• Klusch, M., Lodi, S., Moro, G-L. (2003): The Role of Agents in Distributed Data Mining: Issues and Benefits. 2^nd Intern. IEEE Conference on Intelligent Agent Technology (IAT), Halifax, Canada
• Klusch, M., Lodi, S., Moro, G-L. (2003): Distributed Clustering Based on Sampling Local Density Estimates. Proc. Int. Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico. CORE: A*
• Blankenburg, B., Klusch, M., Shehory, O. (2003): Fuzzy Kernel-Stable Coalitions Between Rational Agents. Proc. 2^nd Int. Conference on Autonomous Agents and Multiagent Systems (AAMAS), Melbourne, Australia. CORE: A*
• Gerber, A., Klusch, M. (2003): DCF-S: A Dynamic Coalition Formation Scheme for Rational Agents. Proc. 2^nd Int. Conference on Autonomous Agents and Multiagent Systems (AAMAS), Melbourne, Australia. CORE: A*
• Klusch, M., Lodi, S., Moro, G-L. (2003): Issues of Agent-Based Distributed Data Mining. Proc. 2^nd Int. Conference on Autonomous Agents and Multiagent Systems (AAMAS), Melbourne, Australia. CORE: A*

2002

• Klusch, M.; Gerber, A. (2002): Dynamic Coalition Formation among Rational Agents. IEEE Intelligent Systems, 17(3), May/June 2002
• Klusch, M.; Gerber, A. (2002): CASA: Agent-based Integrated Services Network for Timber Production and Sales. IEEE Intelligent Systems, 17(2), January/February 2002.
• Sycara, K.; Widoff, S.; Klusch, M.; Lu, J. (2002): LARKS: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace. Journal on Autonomous Agents and Multi-Agent Systems, 5,  Kluwer Academic
• Klusch, M., Bürckert, H.-J., Gerber, A., Russ, C. (2002): Applications of Information Agents and Systems. In: L.C. Jain (ed.), Practical Applications of Intelligent Agents, Physica-Verlag/Springer.
• Gerber, A., Kammenhuber, N., Klusch, M. (2002): CASA: A Distributed Holonic Multiagent Architecture for Timber Production. Proc. 1^st Intl. Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Bologna, Italy.

2001

• Klusch, M. (2001): Information Agent Technology for the Internet: A Survey.  Journal on Data and Knowledge Engineering, Special Issue on Intelligent Information Integration, D. Fensel (Ed.), Vol. 36(3), Elsevier Science
• Klusch, M., Sycara, K. (2001): Brokering and Matchmaking for Coordination of Agent Societies: A Survey. In: Coordination of Internet Agents, A. Omicini et al. (eds.), Springer
• Klusch, M., Gerber, A. (2001): An agent-based mobile e-commerce service platform for forestry and agriculture. Proc. 2^nd Asia-Pacific Conference on Intelligent Agent Technology (IAT), Japan.
• Gerber, A., Russ, C., Klusch, M., Zinnikus, I. (2001): Holonic Agents for the Coordination of Supply Webs. Proc. Intl. Conference on Autonomous Agents (Agents 2001), Montreal, Canada
• Schillo, M., Bürkert, H.-J., Klusch, M., Fischer, K. (2001): Applying Sociological Theory to Designing Autonomous Agents for Robust E-Commerce Markets. Proc. Intern. Conference on Autonomous Agents (Agents 2001), Montreal, Canada, ACM
• Schillo, M.; H.-J. Bürckert; M. Klusch; K. Fischer (2001): Towards a Definition of Robustness for Market-Style Open Multi-Agent Systems. In: Proc 5^th Intl. Conf. on Autonomous Agents, Montreal, Canada, ACM

2000

• Klusch, M. (2000): Agent-Mediated Trading: Intelligent Agents and E-Business. In: A.L.G. Hayzelden, R. Bourne (eds.): Agent Technology applied to Networked Systems. John Wiley & Sons, Chicester, England
• Klusch, M. (2000): Information Agents for Knowledge Discovery and Data Mining on the Internet. In: U. Küsters, K.D. Wilde (Eds.), Handbook Data Mining im Marketing - Knowledge Discovery in Databases. Chapter 10.2, Vieweg/Gabler Verlag (in German).
• Jonker, C., Klusch, M., Treur, J. (2000): Design of collaborative information agents. Proc. 4th Intl. Workshop on Cooperative Information Agents, LNAI 1860, Springer.

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