Items where Subject is "Kuenstliche Intelligenz"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
  • Subjects (220)
    • Kuenstliche Intelligenz (220)
Group by: Creators | Category
Jump to: A | B | C | D | E | F | G | H | J | K | L | M | N | O | P | R | S | T | V | W | Z | Ç
Number of items at this level: 218.

A

  • N2SkyC - User Friendly and Efficient Neural Network Simulation Fostering Cloud Containers
    Adamenko, Aliaksandr and Fedorenko, Andrii and Nussbaum, Benjamin and Schikuta, Erich ISSN 1370-4621 Springer (2019)

  • N2SkyC - User Friendly and Efficient Neural Network Simulation Fostering Cloud Containers
    Adamenko, Aliaksandr and Fedorenko, Andrii and Schikuta, Erich In: 25th International Conference on Neural Information Processing (ICONIP 2018) , 13-16 Dec 2018 , Siem Reap, Cambodia (2018)

  • FedCD: Personalized Federated Learning via Collaborative Distillation
    Ahmad, Sabtain and Aral, Atakan In: Workshop on Distributed Machine Learning for the Intelligent Computing Continuum (DML-ICC 2022) , 06.12.2022 , Vancouver, Washington, USA (2022)

  • Hierarchical Federated Transfer Learning: A Multi-Cluster Approach on the Computing Continuum
    Ahmad, Sabtain and Aral, Atakan In: 22nd International Conference on Machine Learning and Applications (ICMLA 2023) , 15-17 Dec 2023 , Florida, USA (2023)

  • Sustainable Environmental Monitoring via Energy and Information Efficient Multinode Placement
    Ahmad, Sabtain and Uyanık, Halit and Ovatman, Tolga and Sandıkkaya, Mehmet Tahir and De Maio, Vincenzo and Brandić, Ivona and Aral, Atakan IEEE Internet of Things Journal, 10 (24). pp. 22065-22079 ISSN 2327-4662 IEEE (2023)

  • Neuromorphic Edge Intelligence for Rural Environmental Monitoring
    Aral, Atakan In: KDD Fragile Earth 2023 , 7 Aug 2023 , Long Beach, CA (2023)

  • Dependency mining for service resilience at the edge
    Aral, Atakan and Brandic, Ivona In: 2018 IEEE/ACM Symposium on Edge Computing (SEC) , 25-27 Oct 2018 , Bellevue, WA, United States (2018)

  • Addressing application latency requirements through edge scheduling
    Aral, Atakan and Brandic, Ivona and Uriarte, Rafael Brundo and De Nicola, Rocco and Scoca, Vincenzo Journal of Grid Computing, 17 (4). pp. 677-698 ISSN 1570-7873 Springer (2019)

  • Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services
    Aral, Atakan and Brandić, Ivona IEEE Transactions on Parallel and Distributed Systems, 32 (7). pp. 1578-1590 ISSN 1045-9219 IEEE (2020)

  • ARES: Reliable and Sustainable Edge Provisioning for Wireless Sensor Networks
    Aral, Atakan and Demaio, Vincenzo and Brandic, Ivona IEEE Transactions on Sustainable Computing. ISSN 2377-3790 IEEE (2021)

  • Staleness Control for Edge Data Analytics
    Aral, Atakan and Erol-Kantarci, Melike and Brandić, Ivona Proceedings of the ACM on Measurement and Analysis of Computing Systems, 4 (2). pp. 1-24 ISSN 2476-1249 ACM (2020)

  • Staleness control for edge data analytics
    Aral, Atakan and Erol-Kantarci, Melike and Brandić, Ivona In: 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems , 8-12 Jun 2020 , Boston, USA (2020)

  • Reliability management for blockchain-based decentralized multi-cloud
    Aral, Atakan and Uriarte, Rafael Brundo and Simonet-Boulogne, Anthony and Brandic, Ivona In: 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing , 11-14 May 2020 , Melbourne, Australia (2020)

    • B

  • Seeing through the mess: evolutionary dynamics of lexical polysemy
    Baumann, Andreas and Stephan, Andreas and Roth, Benjamin In: The 2023 Conference on Empirical Methods in Natural Language Processing , 6-10 Dec, 2023 , Singapore (2023)

  • On rejected arguments and implicit conflicts: The hidden power of argumentation semantics
    Baumann, Ringo and Dvořák, Wolfgang and Linsbichler, Thomas and Spanring, Christof and Strass, Hannes and Woltran, Stefan Artificial Intelligence , 241. 244 - 284 ISSN 0004-3702 (2016)

  • Compact Argumentation Frameworks.
    Baumann, Ringo and Dvořák, Wolfgang and Linsbichler, Thomas and Strass, Hannes and Woltran, Stefan In: 21st European Conference on Artificial Intelligence , 18-22 Aug. , Prague, Czech Republic (2014)

  • Compact Argumentation Frameworks.
    Baumann, Ringo and Dvořák, Wolfgang and Linsbichler, Thomas and Strass, Hannes and Woltran, Stefan In: 15th International Workshop on Non-Monotonic Reasoning , 17–19 July 2014 , Vienna (2014)

  • Gradual Weisfeiler-Leman: Slow and Steady Wins the Race
    Bause, Franka and Kriege, Nils M. Working Paper. CoRR arXiv (Submitted) (2022)

  • Error-Guided Likelihood-Free MCMC
    Begy, Volodimir and Schikuta, Erich In: International Joint Conference on Neural Networks (IJCNN) 2021 , 18 - 22 July 2021 , virtual (2021)

  • Streamlining Semantics from Requirements to Implementation Through Agile Mind Mapping Methods
    Buchmann, Robert and Ghiran, Ana-Maria and Osman, Cristina-Claudia and Karagiannis, Dimitris In: 24th Intl. Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) , 19.-22.03.2018 , Utrecht, The Netherlands (2018)

  • A Semantic Approach to Deploying Product-Service Systems
    Buchmann, Robert and Karagiannis, Dimitris pp. 24-42 ISSN 1947-8186 (2017)

  • Behavior Verication for Business Processes based on Testing and Anomaly Detection
    Böhmer, Kristof In: 16th International Conference on Business Process Management 2018 , September 9-14, 2018. , Sydney, Australia (2018)

  • LoGo: Combining Local and Global Techniques for Predictive Business Process Monitoring
    Böhmer, Kristof and Rinderle-Ma, Stefanie In: CAiSE 2020 : 32nd International Conference on Advanced Information Systems Engineering , 2020-06-08 , France (2020)

    • C

  • Preferred semantics as socratic discussion
    Caminada, Martin and Dvořák, Wolfgang and Vesic, Srdjan ISSN 0955-792X Oxford Journals (2014)

  • On the Difference between Assumption-Based Argumentation and Abstract Argumentation
    Caminada, Martin and Sá, Samy and Alcântara , João and Dvořák, Wolfgang In: 25th Belgium-Netherlands Artificial Intelligence Conference (BNAIC 2013) , 7-8 Nov 2013 , Delft, Netherlands (2013)

  • On the equivalence between logic programming semantics and argumentation semantics
    Caminada, Martin and Sá, Samy and Alcântara , João and Dvořák, Wolfgang International Journal of Approximate Reasoning , 58. pp. 87-111 ISSN 0888-613X (2014)

  • Machine Learning Workflows in the Computing Continuum for Environmental Monitoring
    Catalfamo, Alessio and Aral, Atakan and Brandic, Ivona and Deelman, Ewa and Villari, Massimo In: 24th International Conference on Computational Science (ICCS 2024) , 2-4 July 2024 , Malaga, Spain (2024)

  • Methods for Solving Reasoning Problems in Abstract Argumentation - A Survey
    Charwat, Günther and Dvořák, Wolfgang and Gaggl, Sarah Alice and Wallner, Johannes Peter and Woltran, Stefan pp. 28-63 ISSN 0004-3702 Elsevier (2015)

  • Better Strategyproof Mechanisms without Payments or Prior --- An Analytic Approach
    Cheung, Yun Kuen In: International Joint Conference on Artificial Intelligence , 9--15 July, 2016 , New York, USA (2016)

  • A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions
    Chien, Isabel and Enrique, Angel and Palacios, Jorge and Regan, Tim and Keegan, Dessie and Carter, David and Tschiatschek, Sebastian and Nori, Aditya and Thieme, Anja and Richards, Derek and Doherty, Gavin and Belgrave, Danielle JAMA network open, 3 (7). e2010791-e2010791 ISSN 25743805 American Medical Association (2020)

  • Model-Driven Context Configuration in Business Process Management Systems: An Approach Based on Knowledge Graphs
    Cinpoeru, Mihai and Ghiran, Ana-Maria and Harkai, Alisa and Buchmann, Robert Andrei and Karagiannis, Dimitris In: BIR 2019 – 18th International Conference on Perspectives in Business Informatics Research , September 23–25, 2019 , Katowice, Poland (2019)

  • Machine Learning-Based Detection of Ransomware Using SDN
    Cusack, Greg and Michel, Oliver and Keller, Eric In: 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization , March 2018 , Tempe, AZ, USA (2018)

  • Towards a Compliance Support Framework for Adaptive Case Management
    Czepa, Christoph and Tran, Huy and Zdun, Uwe and Tran, Thanh and Weiss, Erhard and Ruhsam, Christoph In: 5th International Workshop on Adaptive Case Management and other Non-workflow Approaches to BPM (AdaptiveCM 16), 20th IEEE International Enterprise Computing Workshops (EDOCW 2016) , 05 - 09 Sep 2015 , Vienna, Austria (2016)

    • D

  • A Roadmap To Post-Moore Era for Distributed Systems
    De Maio, Vincenzo and Aral, Atakan and Brandic, Ivona In: 2022 Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems , 25 July 2022 , Salerno, Italy (2022)

  • Roadmap for edge AI: a Dagstuhl perspective
    Ding, Aaron Yi and Peltonen, Ella and Meuser, Tobias and Aral, Atakan and Becker, Christian and Dustdar, Schahram and Hiessl, Thomas and Kranzlmüller, Dieter and Liyanage, Madhusanka and Maghsudi, Setareh and Mohan, Nitinder and Ott, Jörg and Rellermeyer, Jan S. and Schulte, Stefan and Schulzrinne, Henning and Solmaz, Gürkan and Tarkoma, Sasu and Varghese, Blesson and Wolf, Lars ACM SIGCOMM Computer Communication Review, 52 (1). pp. 28-33 ISSN 0146-4833 ACM (2022)

  • Characteristics of Multiple Viewpoints in Abstract Argumentation
    Dunne, Paul E. and Dvořák, Wolfgang and Linsbichler, Thomas and Woltran, Stefan In: 4th Workshop on Dynamics of Knowledge and Belief (DKB-2013) (2013)

  • Characteristics of Multiple Viewpoints in Abstract Argumentation
    Dunne, Paul E. and Dvořák, Wolfgang and Linsbichler, Thomas and Woltran, Stefan In: 14th International Conference on Principles of Knowledge Representation and Reasoning , 2014-07-20 - 2014-07-24 , Vienna (2014)

  • Characteristics of multiple viewpoints in abstract argumentation
    Dunne, Paul E. and Dvořák, Wolfgang and Linsbichler, Thomas and Woltran, Stefan Artificial Intelligence , 228. pp. 153-178 ISSN 0004-3702 Elsevier (2015)

  • Parametric Properties of Ideal Semantics
    Dunne, Paul E. and Dvořák, Wolfgang and Woltran, Stefan Artificial Intelligence, 202. pp. 1-28 ISSN 0004-3702 Elsevier (2013)

  • Computationale Aspekte der Abstrakten Argumentation.
    Dvořák, Wolfgang In: Ausgezeichnete Informatikdissertationen 2012. Lecture Notes in Informatics (LNI) (D-13) Bonner Köllen Verlag, pp. 61-70 ISBN 978-3-88579-417-2 (2013)

  • Stage semantics and the SCC-recursive schema for argumentation semantics
    Dvořák, Wolfgang and Gaggl, Sarah Alice ISSN 0955-792X Oxford Journals (2014)

  • Making Use of Advances in Answer-Set Programming for Abstract Argumentation Systems.
    Dvořák, Wolfgang and Gaggl, Sarah Alice and Wallner, Johannes Peter and Woltran, Stefan In: Applications of Declarative Programming and Knowledge Management Applications of Declarative Programming and Knowledge Management. Lecture Notes in Computer Science (7773) Springer Berlin Heidelberg, pp. 114-133 ISBN 978-3-642-41523-4 (2013)

  • CEGARTIX v0.4: A SAT-Based Counter-Example Guided Argumentation Reasoning Tool
    Dvořák, Wolfgang and Järvisalo, Matti and Wallner, Johannes Peter and Woltran, Stefan Other. UNSPECIFIED (2015)

  • Complexity-Sensitive Decision Procedures for Abstract Argumentation (Extended Abstract)
    Dvořák, Wolfgang and Järvisalo, Matti and Wallner, Johannes Peter and Woltran, Stefan In: Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 , July 25-31, 2015 , Buenos Aires, Argentina (2015)

  • Complexity-Sensitive Decision Procedures for Abstract Argumentation.
    Dvořák, Wolfgang and Järvisalo, Matti and Wallner, Johannes Peter and Woltran, Stefan Artificial Intelligence, 206. pp. 53-78 ISSN 0004-3702 Elsevier (In Press) (2014)

  • Resolution-based grounded semantics revisited.
    Dvořák, Wolfgang and Linsbichler, Thomas and Oikarinen, Emilia and Woltran, Stefan In: Fifth International Conference on Computational Models of Argument , September 9th - 12th , Scottish Highlands (2014)

  • dynPARTIX - A Dynamic Programming Reasoner for Abstract Argumentation
    Dvořák, Wolfgang and Morak, Michael and Nopp, Clemens and Woltran, Stefan In: Applications of Declarative Programming and Knowledge Management. Lecture Notes in Computer Science (7773) Springer Berlin Heidelberg, pp. 259-268 ISBN 978-3-642-41523-4 (2013)

  • Shaping AI Behavior: A Q-Learning Driven Approach to Automatic Behavior Tree Creation
    Dworzanski, Ralph and Hlavacs, Helmut In: IEEE AIxVR , 17.01. - 19.01.2024 , Los Angeles, CA, USA (2024)

    • E

  • Benchmarking brain–computer interface algorithms: Riemannian approaches vs convolutional neural networks
    Eder, Manuel and Xu, Jiachen and Grosse-Wentrup, Moritz ISSN 1741-2560 (2024)

  • Intelligent Dataspaces for e-Science
    Elsayed, Ibrahim and Muslimovic, Adnan and Brezany, Peter In: 7th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics , 28-30 Dec 2008 , Cairo, Egypt (2008)

  • PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances
    Elyasi, Keyvan Amiri and van der Aa, Han and Stuckenschmidt, Heiner In: Advanced Information Systems Engineering - 36th International Conference, CAiSE 2024, Limassol, Cyprus, June 3-7, 2024, Proceedings , June 03-07, 2024 , Limassol, Cyprus (2024)

    • F

  • Detecting Environment Drift in Reinforcement Learning Using a Gaussian Process
    Fang, Zhizhou and Zdun, Uwe In: The 36th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2024) , 28 October - 30 October 2024 , Herndon, VA, USA (2024)

  • N2Sky - A Neural Network Problem Solving Environment Fostering Virtual Resources
    Fedorenko, Andrii and Adamenko, Aliaksandr and Schikuta, Erich In: 2018 International Joint Conference on Neural Networks (IJCNN 2018) , 8-13 July 2018 , Rio de Janeiro, Brasil (2018)

  • On the Collaborative Formalization of Agile Semantics Using Social Network Applications
    Fill, Hans-Georg and Tudorache, T. In: AAAI Spring Symposium 2011 - AI for Business Agility (2011)

  • An evolutionary mutation-based algorithm for weight training in neural networks for telecommunication flow modelling
    Fischer, M.M. and Hlavackova-Schindler, Katerina and Reismann, Martin In: CONCURRENT SYSTEMS ENGINEERING SERIES. CONCURRENT SYSTEMS ENGINEERING SERIES, 55 IOS Press, pp. 54-59 ISBN 905199477X (1999)

  • Neural network modelling of constrained spatial information flows: Design, estimation and performance issues
    Fischer, Manfred M. and Reismann, Martin and Hlavackova-Schindler, Katerina In: Spatial Analysis and GeoComputation: Selected Essays. Springer, pp. 241-268 ISBN 978-3-540-35730-8 (2006)

  • Caveats to deep learning approaches to RNA secondary structure prediction
    Flamm, Christoph and Wielach, Julia and Wolfinger, Michael T. and Badelt, Stefan and Lorenz, Ronny and Hofacker, Ivo L. ISSN 0000-0000 Frontiers (2022)

    • G

  • Towards a framework of techniques for enabling semantics-driven secondary notation in conceptual models
    Ghiran, Ana-Maria and Buchmann, Robert and Karagiannis, Dimitris In: IEEE 12th International Conference on Research Challenges in Information Science (RCIS'2018) , 29.-31.05.2018 , Nantes, France (2018)

  • Streamlining Structured Data Markup and Agile Modelling Methods
    Ghiran, Ana-Maria and Buchmann, Robert and Osman, Cristina-Claudia and Karagiannis, Dimitris In: 10th IFIP WG 8.1 working conference on the Practice of Enterprise Modeling (PoEM 2017) , 22-24 November 2017 , Leuven, Belgium (2017)

  • Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes
    Ghosh, Ahana and Tschiatschek, Sebastian and Devlin, Sam and Singla, Adish In: Artificial Intelligence in Education: 23rd International Conference, AIED 2022 , 27.-31.07.2022 , Durham, UK (2022)

  • Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies
    Ghosh, Ahana and Tschiatschek, Sebastian and Mahdavi, Hamed and Singla, Adish In: 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) , 09.-13.05.2020 , Auckland (NZ); Virtual (Covid) (2020)

  • Neuro-cognitive multilevel causal modeling: A framework that bridges the explanatory gap between neuronal activity and cognition
    Grosse-Wentrup, Moritz and Kumar, Akshey and Meunier, Anja and Zimmer, Manuel ISSN 1553-734X Public libarary of Science (Plos) (2024)

    • H

  • Option Transfer and SMDP Abstraction with Successor Features
    Han, Dongge and Tschiatschek, Sebastian In: The 31st International Joint Conference on Artificial Inteligence, IJCAI-ECAI 2022 , 23.-29.07.2022 , Messe Wien, Vienna, Austria (2022)

  • MDP Abstraction with Successor Features
    Han, Dongge and Wooldridge, Michael and Tschiatschek, Sebastian In: AAAI-22 Workshop on Reinforcement Learning in Games , 28.02.2022 , Virtual (2022)

  • Serviceology for Services - 5th International Conference, ICServ 2017, Vienna, Austria, July 12-14, 2017, Proceedings
    Hara, Yoshinori and Karagiannis, Dimitris Lecture Notes in Computer Science book series (LNCS), 10371 Springer, Cham, Switzerland ISBN Print ISBN 978-3-319-61239-3 (2017)

  • A new paradigm for the continuous alignment of business and IT: Combining enterprise architecture modelling and enterprise ontology
    Hinkelmann, Knut and Gerber, Aurona and Karagiannis, Dimitris and Van der Merve, Alta and Woitsch, Robert pp. 77-86 ISSN http://dx.doi.org/10.1016/j.compind.2015.07.009 Hinkelmann, Knut; Gerber, Aurona; Karagiannis, Dimitris; Thönssen, Barbara; Van der Merve, Alta; Woitsch, Robert; (2016)

  • Feed-forward network with one hidden layer and their rates of approximation
    Hlavackova-Schindler, Katerina In: UKACC International Conference on CONTROL ‘98 , 1-4 September, 1998 , Swansea, United Kingdom (1998)

  • Tikhonov regularization parameter in reproducing kernel Hilbert spaces with respect to the sensitivity of the solution
    Hlavackova-Schindler, Katerina In: International Conference on Artificial Neural Networks (ICANN) 2008 , September 2008 , Prague, Czech Republic (2008)

  • An upper estimate of the error of approximation of continuous multivariable functions by KBF networks
    Hlavackova-Schindler, Katerina In: European Symposium on Artificial Neural Networks (ESANN) 1995 , April 1995 , Brugges, Belgium (1995)

  • Granger lasso causal models in higher dimensions: Application to gene expression regulatory networks
    Hlavackova-Schindler, Katerina and Bouzari, Hamed In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2013 , September 2013 , Prague, Czech Republic (2013)

  • An incremental algorithm for parallel training of the size and the weights in a feedforward neural network
    Hlavackova-Schindler, Katerina and Fischer, Manfred M. pp. 131-138 ISSN 1370-4621 Kluwer (2000)

  • Upper bounds on the approximation rates of real-valued Boolean functions by neural networks
    Hlavackova-Schindler, Katerina and Kurkova, Vera and Savicky, Petr In: International Conference on Artificial Neural Nets and Genetic Algorithms , 1997 , Norwich, England (1997)

  • Granger causality for ill-posed problems: Ideas, methods, and application in life science
    Hlavackova-Schindler, Katerina and Naumova, Valeriya and Pereverzyev Jr., Sergiy In: Statistics and Causality. Wiley Series in Probability and Statistics, 1 Wiley, USA, pp. 248-276 ISBN 978-1-118-94704-3 (2016)

  • Radial basis function networks
    Hlavackova-Schindler, Katerina and Neruda, Roman pp. 93-102 ISSN 1210-0552 (1993)

  • Algorithm of incremental approximation using variation of a function with respect to a subset
    Hlavackova-Schindler, Katerina and Sanguineti, M. In: International ICSC/IFAC Symposium on Neural Computation (NC'98) , 1998-09-01 , Vienna, Austria (1998)

  • Causal Inference for Heterogeneous Data and Information Theory
    Hlavackova-Schindler, Katerina and Sokolovska, Nataliya and Wuillemin, Pierre-Henri and Xie, Feng and He, Yangbo and Geng, Zhi and Chen, Zhengming and Hou, Ru and Zhang, Kun and Liu, Shuo Shuo and Zhu, Yeying and Rostami, Mehdi and Saarela, Olli and Bodory, Hugo and Busshoff, Hannah and Lechner, Michael and Dorie, Vincent and Perrett, George and Hill, Jennifer L. and Goodrich, Benjamin and Wang, Xu and Shojaie, Ali and Rehder, Bob and Davis, Zachary J. and Bramley, Neil and Galhotra, Sainyam and Shanmugam, Karthikeyan and Sattigeri, Prasanna and Varshney, Kush R. and Yu, Xuewen and Smith, Jim O. and Mahadevan, Sridhar and Andree, Bo Pieter Johannes Entropy: Information Theory, Probability and Statistics MDPI, St. Alban-Anlage 66, 4052 Basel, Switzerland ISBN 978-3-0365-8050-0/978-3-0365-8051-7 (2023)

  • Computational intelligence approaches to causality detection
    Hlavackova-Schindler, Katerina and Verdes, Pablo F. In: European Symposium on Artificial Neural Networks (ESANN) , 25-27.4.2007 , Brugges, Belgium (2007)

  • Placing spline knots in neural networks using splines as activation functions
    Hlavackova-Schindler, Katerina and Verleysen, Michel pp. 159-166 ISSN 0925-2312 Elsevier (1997)

  • Multicore and GPU Parallelization of Neural Networks for Face Recognition
    Huqqani, Altaf and Schikuta, Erich and Yea, Sicen and Chena, Peng In: International Conference on Computational Science, ICCS , 5. - 7. June , Barcelona, Spain (2013)

  • cosy:sonics - A Mobile App for Triggering Technology Reflection Through Immersive Audience Experience
    Hödl, Oliver and Oberhauser, Peter and Reichl, Peter In: 11th Forum Media Technology and 4th All Around Audio Symposium , 28-29 Nov 2018 , St. Pölten, Österreich (2018)

    • J

  • Causal Discovery in Hawkes Processes by Minimum Description Length
    Jalaldoust, Amirkasra and Hlavackova-Schindler, Katerina and Plant, Claudia In: The 36th AAAI Conference on Artificial Intelligence 2022 , 22 Feb - 01 Mar 2022 , Vancouver, British Columbia, Canada (2022)

  • ACO-inspired Acceleration of Gossip Averaging
    Janecek, Andreas and Gansterer, Wilfried In: Genetic and Evolutionary Computation Conference 2016 (GECCO '16) , July 20-24 2016 , Denver, USA (2016)

  • Understanding the information flow of ACO-accelerated gossip algorithms
    Janecek, Andreas and Gansterer, Wilfried In: Seventh International Conference on Swarm Intelligence (ICSI’2016) , 25.6.2016-30.6.2016 , Denpasar, Indenesien (2016)

  • Swarm/Evolutionary Intelligence for Agent-Based Social Simulation
    Janecek, Andreas and Jordan, Tobias and Lima Neto, Fernando Buarque De In: 2014 IEEE Congress on Evolutionary Computation , July 6-11, 2014 , Beijing, China (2014)

  • Agent-based Social Simulation and PSO
    Janecek, Andreas and Jordan, Tobias and Lima-Neto, Fernando Buarque De In: Fourth International Conference on Swarm Intelligence (ICSI’2013) , June 12-15, 2013 , Harbin, China (In Press) (2013)

  • Swarm Intelligence for Dimensionality Reduction: How to Improve the Non-Negative Matrix Factorization with Nature-Inspired Optimization Methods
    Janecek, Andreas and Tan, Ying In: Emerging Research on Swarm Intelligence and Algorithm Optimization. IGI Global, pp. 285-309 (2014)

    • K

  • Parallel Neural Networks in Golang
    Kalwarowskyj, Daniela and Schikuta, Erich Technical Report. arXiv (2023)

  • SPMD-based Neural Network Simulation with Golang
    Kalwarowskyj, Daniela and Schikuta, Erich In: 23rd International Conference on Computational Science , 3-5 July, 2023 , Prague, Czech Republic (2023)

  • Geleitwort zum Buch: Geschäftsprozessorientierte Systementwicklung: Von der Unternehmensarchitektur zum IT-System
    Karagiannis, Dimitris In: Geschäftsprozessorientierte Systementwicklung: Von der Unternehmensarchitektur zum IT-System. Springer Vieweg; Auflage: 1. Aufl. 2016. (16. Dezember 2016), xi-xii ISBN 978-3-658-14826-3 (2016)

  • A Proposal for Deploying Hybrid Knowledge Bases: the ADOxx-to-GraphDB Interoperability Case
    Karagiannis, Dimitris and Buchmann, Robert In: HICSS-51: Hawaii International Conference on System Sciences 2018 , 2-6 January 2018 , Hawaii, USA (2018)

  • Managing Consistency in Multi-View Enterprise Models: An Approach based on Semantic Queries
    Karagiannis, Dimitris and Buchmann, Robert and Bork, Dominik In: Twenty-Fourth European Conference on Information Systems (ECIS 2016) , 12-15 June 2016 , İstanbul, Turkey (2016)

  • How can Diagrammatic Conceptual Modelling Support Knowledge Management?
    Karagiannis, Dimitris and Buchmann, Robert and Walch, Michael In: 25th European Cenference on Information Systems, ECIS 2017 , 5-10 June 2017 , Guimarães, Portugal (2017)

  • Domain-specific diagrammatic modelling: a source of machine-readable semantics for the Internet of Things
    Karagiannis, Dimitris and Buchmann, Robert Andrei pp. 895-908 ISSN 1386-7857 (2017)

  • Enriching Linked Data with Semantics from Domain-Specific Diagrammatic Models
    Karagiannis, Dimitris and Buchmann, Robert Andrei ISSN 2363-7005 Karagiannis, Dimitris; Buchmann Robert Andrei; (2016)

  • Fundamental Conceptual Modeling Languages in OMiLAB
    Karagiannis, Dimitris and Buchmann, Robert Andrei and Burzynski, Patrik and Reimer, Ulrich and Walch, Michael In: Domain-Specific Conceptual Modeling. Karagiannis, Dimitris; Buchmann Robert Andrei; Burzynski, Patrik; Reimer, Ulrich; Walch, Michael; , Vienna, pp. 3-30 ISBN 978-3-319-39417-6 (2016)

  • A Metamodeling Approach to Support the Engineering of Modeling Method Requirements
    Karagiannis, Dimitris and Burzynski, Patrik and Utz, Wilfrid and Buchmann, Robert In: 2019 IEEE 27th International Requirements Engineering Conference , 23-27 September 2019 , Jeju Island, South Korea (2019)

  • Domain-Specific Conceptual Modeling
    Karagiannis, Dimitris and Mayr, Heinrich C. and Mylopoulos, John Springer International Publishing, Springer International Publishing Switzerland (2016)

  • Information Systems Engineering in Industry: Applications and Projects.
    Karagiannis, Dimitris and Schlamberger, Niko In: Caise-IT 2016 , June 13-17,2016 , Ljubljana, Slovenia (2016)

  • Beyond von Neumann in the Computing Continuum: Architectures, Applications, and Future Directions
    Kimovski, Dragi and Saurabh, Nishant and Jansen, Matthijs and Aral, Atakan and Al-Dulaimy, Auday and Bondi, André B. and Galletta, Antonino and Papadopoulos, Alessandro V. and Iosup, Alexandru and Prodan, Radu IEEE Internet Computing. pp. 1-11 ISSN 1541-1672 IEEE (2023)

  • MemeGraphs: Linking Memes to Knowledge Graphs
    Kougia, Vasiliki and Fetzel, Simon and Kirchmair, Thomas and Çano, Erion and Baharlou, Sina Moayed and Sharifzadeh, Sahand and Roth, Benjamin In: The 17th International Conference on Document Analysis and Recognition (ICDAR 2023) , 21-26 August 2023 , San José, California, USA (2023)

  • Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency
    Kougia, Vasiliki and Sedova, Anastasiia and Stephan, Andreas and Zaporojets, Klim and Roth, Benjamin In: 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) , 11-16 August 2024 , Bangkok, Thailand (2024)

  • Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process Mining
    Kraus, Alexander and van der Aa, Han In: Business Process Management - 22nd International Conference, BPM 2024, Krakow, Poland, September 1-6, 2024, Proceedings , Sept. 01-06, 2024 , Krakow, Poland (2024)

  • Command and Control Support Systems for military commanders: Achieving leadership superiority through AI
    Krieg, Martin and Hlavacs, Helmut In: 10th International Conference on Decision Support System Technology , 02.06. - 05.06.2024 , Porto, Portugal (2024)

  • Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
    Kriege, Nils M. Working Paper. CoRR arXiv (Submitted) (2022)

  • Validity in a logic that combines supervaluation and fuzzy logic based theories of vagueness
    Krinninger, Sebastian pp. 1-17 ISSN 0165-0114 (2014)

  • Causally consistent abstractions of time-series data
    Kumar, Akshey PhD thesis (2023)

  • Learning cognitive state representations from neuronal and behavioural data
    Kumar, Akshey and Gilra, Aditya and Grosse-Wentrup, Moritz In: Conference on Cognitive Computational Neuroscience 2023 , 24-27 Aug 2023 , Oxford, UK (2023)

  • Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent
    Kummer, Lorenz and Moustafa, Samir and Schrittwieser, Sebastian and Gansterer, Wilfried and Kriege, Nils M. In: ACM International Conference on Knowledge Discovery and Data Mining 2024 , 25th - 29th August, 2024 , Barcelona, Centre de Convencions Internacional de Barcelona (2024)

  • Approximation of continuous functions by RBF and KBF functions
    Kurkova, Vera and Hlavackova-Schindler, Katerina In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 1994 , April 1994 , Brugges, Belgium (1994)

  • Representations and rates of approximation of real-valued Boolean functions by neural networks
    Kurkova, Vera and Savicky, Petr and Hlavackova-Schindler, Katerina pp. 651-659 ISSN 0893-6080 Elsevier Science Ltd. (1998)

  • Improvement-focused causal recourse (ICR)
    König, Gunnar and Freiesleben, Timo and Grosse-Wentrup, Moritz In: The 37th AAAI Conference on Artificial Intelligence , 07-14 Feb 2023 , Washington, DC, USA (2023)

  • Relative Feature Importance
    König, Gunnar and Molnar, Christoph and Bischl, Bernd and Grosse-Wentrup, Moritz In: 2020 25th International Conference On Pattern Recognition , 10.-15.01.2021 , Virtual Event (2021)

    • L

  • This Abstract Was Written by ChatGPT: Empowering Intellectual Workers Through AI-Generated Content
    Lawitschka, Caroline and König, Philip In: HaPoC 2023: 7th International Conference on the History and Philosophy of Computing , 18-20 Oct 2023 , Warsaw, Poland (2023)

  • Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
    Lehner, Johannes and Alkin, Benedikt and Fürst, Andreas and Rumetshofer, Elisabeth and Miklautz, Lukas and Hochreiter, Sepp In: The 38th Annual AAAI Conference on Artificial Intelligence , February 20-27, 2024 , Vancouver, Canada, Vancouver Convention Centre – West Building (2024)

  • Application of Deep Clustering Algorithms
    Leiber, Collin and Miklautz, Lukas and Plant, Claudia and Böhm, Christian In: 32nd ACM International Conference on Information and Knowledge Management , 21.10.2023 - 25.10.2023 , Birmingham, United Kingdom (2023)

  • Interactively Learning Preference Constraints in Linear Bandits
    Lindner, David and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas Working Paper. CoRR arXiv (Submitted) (2022)

  • Interactively Learning Preference Constraints in Linear Bandits
    Lindner, David and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas In: The Thirty-ninth International Conference on Machine Learning , 17.-23.07.2022 , Baltimore, USA (2022)

  • Efficient SAGE estimation via causal structure learning
    Luther, Christoph and König, Gunnar and Grosse-Wentrup, Moritz In: 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023 , 25-27 Apr 2023 , Palau de Congressos, Valencia, Spain (2023)

  • Functionality learning through specification instructions
    Luz De Araujo, Pedro Henrique and Roth, Benjamin In: Findings of the Association for Computational Linguistics: EMNLP 2024 , Nov 12th to Nov 16th, 2024 , Miami, Florida, USA (2024)

  • Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection
    Luz de Araujo, Pedro Henrique and Roth, Benjamin In: NLP Power! The First Workshop on Efficient Benchmarking in NLP , 26 May 2022 , Dublin, Ireland (2022)

  • Cross-functional Analysis of Generalization in Behavioral Learning
    Luz de Araujo, Pedro Henrique and Roth, Benjamin Transactions of the Association for Computational Linguistics, 11. pp. 1066-1081 ISSN 2307-387X MIT Press (2023)

    • M

  • The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach
    MM, Majdabadi and Nasirigerdeh, Reza and Torkzadehmahani, Reihaneh and Hartebrodt, Hanne and Orban, Balazs-Attila and Fejér, Sándor-József and Zolotareva, Olga and Das, Supratim and Baumbach, Linda and Pauling, Josch K. and Tomašević, Olivera and Bihari, Béla and Bloice, Marcus and Donner, Nina C. and Fdhila, Walid and Frisch, Tobias and Hausschild, Anne-Christin and Heider, Dominik and Holzinger, Andreas and Hötzendorfer, Walter and Hospes, Jan and Kacprowski, Tim and Kastelitz, Markus and List, Markus and Mayer, Rudolf and Moga, Mónika and Müller, Heimo and Pustozerova, Anastasia and Röttger, Richard and Saak, Christina A. and Saranti, Anna and Schmidt, Harald HHW and Tschohl, Christof and Wenke, Nina K. and Baumbach, Jan Journal of Medical Internet Research. ISSN 1438-8871 (2023)

  • HM-VAEs: a Deep Generative Model for Real-valued Data with Heterogeneous Marginals
    Ma, Chao and Tschiatschek, Sebastian and Li, Yingzhen and Turner, Richard and Hernandez-Lobato, Jose Miguel and Zhang, Cheng In: 2nd Symposium on Advances in Approximate Bayesian Inference (AABI) , 08.12.2019 , Vancouver (2020)

  • VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
    Ma, Chao and Tschiatschek, Sebastian and Turner, Richard E and Hernandez-Lobato, Jose Miguel and Zhang, Cheng In: Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) , 06.-12.12.2020 , Virtual (2020)

  • Ontology-Based Security Requirements Framework for Current and Future Vehicles
    Magdy, Abdelkader and Schmittner, Christoph and Gruber, Thomas and Mohamed, A. Baith and Quirchmayr, Gerald and Schikuta, Erich In: Data Science and Big Data Analytics in Smart Environments. CRC Press, Boca Raton, pp. 197-217 ISBN 9780367814397 (2021)

  • A distance covariance-based kernel for nonlinear causal clustering in heterogeneous populations
    Markham, Alex and Das, Richeek and Grosse-Wentrup, Moritz In: 1st conference on Causal Learning and Reasoning (CLeaR) 2022 , 11-13 Apr 2022 , Eureka, CA, USA (2022)

  • Measurement dependence inducing latent causal models
    Markham, Alex and Grosse-Wentrup, Moritz In: 36th Conference in Uncertainty in Artificial Intelligence (UAI) 2020 , 3-6 Aug 2020 , virtual event (2020)

  • A mathematical framework for bridging Marr’s levels
    Meunier, Anja and Grosse-Wentrup, Moritz In: Conference on Cognitive Computational Neuroscience 2022 , 25-28 Aug 2022 , San Francisco, California, USA (2022)

  • A theory of algorithms and implementations and their relevance to cognitive science
    Meunier, Anja and Markham, Alex and Grosse-Wentrup, Moritz In: CogSci 2021 – 43rd Annual Meeting of the Cognitive Science Society , 26-29 July 2021 , Online (2021)

  • Revisiting Edge AI: Opportunities and Challenges
    Meuser, Tobias and Lovén, Lauri and Bhuyan, Monowar and Patil, Shishir G. and Dustdar, Schahram and Aral, Atakan and Bayhan, Suzan and Becker, Christian and Lara, Eyal de and Ding, Aaron Yi and Edinger, Janick and Gross, James and Mohan, Nitinder and Pimentel, Andy D. and Rivière, Etienne and Schulzrinne, Henning and Simoens, Pieter and Solmaz, Gürkan and Welzl, Michael IEEE Internet Computing, 28 (4). pp. 49-59 ISSN 1089-7801 IEEE (2024)

  • Exploring Artificial Neural Network Models for c-VEP Decoding in a Brain-Artificial Intelligence Interface
    Miao, Zhengqing and Meunier, Anja and Žák, Michal Robert and Grosse-Wentrup, Moritz In: The 5th International Workshop on Machine Learning for EEG Signal Processing , 3 Sep - 6 Sep 2024 , Lisbon (2024)

  • Weight-freezing: A motor imagery inspired regularization approach for EEG classification
    Miao, Zhengqing and Zhao, Meirong ISSN 1746-8094 (2024)

  • Recent Developments in Boolean Matrix Factorization
    Miettinen, Pauli and Neumann, Stefan In: 29th International Joint Conference on Artificial Intelligence 2020 , July 11-17, 2020 , Yokohoma, Japan (2020)

  • Revire: A virtual realitiy platform for BCI-based motor rehabilitation
    Mihic Zidar, Lucija and Raggam, Philipp and Mohammadian, F. and Barłoga, A. and Grosse-Wentrup, Moritz In: 9th Graz Brain-Computer Interface Conference 2024 , 9-12 Sep 2024 , Graz (2024)

  • Deep Embedded Non-Redundant Clustering
    Miklautz, Lukas and Mautz, Dominik and Altinigneli, M. C. and Böhm, Christian and Plant, Claudia In: 34th AAAI Conference on Artificial Intelligence , 07-12 Feb 2020 , New York (2020)

  • Non-Redundant Image Clustering of Early Medieval Glass Beads
    Miklautz, Lukas and Shkabrii, Andrii and Leiber, Collin and Tobias, Bendeguz and Seidl, Benedict and Weissensteiner, Elisabeth and Rausch, Andreas and Böhm, Christian and Plant, Claudia In: The 10th IEEE International Conference on Data Science and Advanced Analytics , 9-13 Oct 2023 , Thessaloniki, Greece (2023)

  • AIS – a Metric for assessing the Impact of an Influencer’s Twitter Activity on the Price of a Cryptocurrency
    Miller, Kevin and Böhmer, Kristof In: International Conference on Cooperative Information Systems 2023 , October 30 - November 3, 2023 , Groningen, The Netherlands (2023)

  • General pitfalls of model-agnostic interpretation methods for machine learning models
    Molnar, Christoph and König, Gunnar and Herbinger, Julia and Freiesleben, Timo and Dandl, Susanne and Scholbeck, Christian A. and Casalicchio, Giuseppe and Grosse-Wentrup, Moritz and Bischl, Bernd In: xxAI - Beyond Explainable AI. Springer, Cham, pp. 39-68 (2022)

  • The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
    Morris, Christopher and Fey, Matthias and Kriege, Nils M. In: International Joint Conferences on Artifical Intelligence (IJCAI) , 19.-26.08.2021 , Montreal, Canada (2021)

  • TUDataset: A collection of benchmark datasets for learning with graphs
    Morris, Christopher and Kriege, Nils M. and Bause, Franka and Kersting, Kristian and Mutzel, Petra and Neumann, Marion In: ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+ 2020) , 17.07.2020 , Vienna, Austria (2020)

  • Weisfeiler and Leman go Machine Learning: The Story so far
    Morris, Christopher and Lipman, Yaron and Maron, Haggai and Rieck, Bastian and Kriege, Nils M. and Grohe, Martin and Fey, Matthias and Borgwardt, Karsten Working Paper. CoRR arXiv (Submitted) (2021)

  • KnowMAN: Weakly Supervised Multinomial Adversarial Networks
    März, Luisa and Asgari, Ehsaneddin and Braune, Fabienne and Zimmermann, Franziska and Roth, Benjamin In: The 2021 Conference on Empirical Methods in Natural Language Processing , November 7-11, 2021 , Online (2021)

  • XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
    März, Luisa and Asgari, Ehsaneddin and Braune, Fabienne and Zimmermann, Franziska and Roth, Benjamin Working Paper. arXiv (2022)

  • Data Centric Domain Adaptation for Historical Text with OCR Errors
    März, Luisa and Schweter, Stefan and Poerner, Nina and Roth, Benjamin and Schütze, Hinrich In: 16th International Conference on Document Analysis and Recognition ICDAR 2021 , September 5-10, 2021 , Lausanne, Switzerland (2021)

    • N

  • Python to Kubernetes: A Programming and Resource Management Framework for Compute- and Data-intensive Applications
    Nagiyev, Andrey and Bajrovic, Enes and Benkner, Siegfried In: IEEE International Conference on Parallel and Distributed Systems (ICPADS) , October 10-14th , Belgrade, Serbia (2024)

  • Nachhaltige Digitale Zwillinge in der Landwirtschaft
    Neubauer, Thomas and Bauer, Alexander and Heurix, Johannes and Iwersen, Michael and Mallinger, Kevin and Manschadi, Ahmad M. and Purcell, Warren and Rauber, Andreas Zeitschrift für Hochschulentwicklung, 19. ISSN 2219-6994 (2024)

  • What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank
    Neumann, Stefan and Gemulla, Rainer and Miettinen, Pauli In: 16th IEEE International Conference on Data Mining 2016 (ICDM'16) , 12-15 December 2016 , Barcelona (2016)

  • Reductions for Frequency-Based Data Mining Problems
    Neumann, Stefan and Miettinen, Pauli In: 17th IEEE International Conference on Data Mining 2017 (ICDM'17) , 18-21 Nov 2017 , New Orleans (2017)

  • A Lightweight Cloud Execution Stack for Neural Network Simulation
    Nussbaum, Benjamin and Schikuta, Erich In: 25th International Conference on Neural Information Processing (ICONIP 2018) , 13-16 Dec 2018 , Siem Reap, Cambodia (2018)

    • O

  • A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks
    Oettershagen, Lutz and Kriege, Nils M. and Jordan, Claude and Mutzel, Petra Working Paper. CoRR arXiv (Submitted) (2022)

  • Classifying Dissemination Processes in Temporal Graphs
    Oettershagen, Lutz and Kriege, Nils M. and Morris, Christopher and Mutzel, Petra Big Data, 8 (5). pp. 363-378 ISSN 2167-6461 Mary Ann Liebert, Inc. (2020)

    • P

  • Greek Literary Papyri Dating Benchmark
    Paparrigopoulou, Asimina and Kougia, Vasiliki and Konstantinidou, Maria and Pavlopoulos, John In: ICDAR 2023 Workshop on Computational Paleography (2nd edition) , 24 Aug 2023 , San José, California, USA (2023)

  • Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification: Theory and Case Study
    Paul, Satyakama and Janecek, Andreas and Buarque de Lima Neto, Fernando and Marwala, Tshilidzi In: 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence , 08-11 Sept, 2013 , Recife, Brazil (In Press) (2013)

  • Challenging Error Correction in Recognised Byzantine Greek
    Pavlopoulos, John and Kougia, Vasiliki and Arias, Esteban Garces and Platanou, Paraskevi and Shabalin, Stepan and Liagkou, Konstantina and Papadatos, Emmanouil and Essler, Holger and Camps, Jean-Baptiste and Fischer, Franz In: 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) , 11-16 August 2024 , Bangkok, Thailand (2024)

  • Detecting Erroneously Recognized Handwritten Byzantine Text
    Pavlopoulos, John and Kougia, Vasiliki and Platanou, Paraskevi and Essler, Holger In: Findings of the Association for Computational Linguistics: EMNLP 2023 , 6-10 Dec 2023 , Singapore (2023)

  • The Many Faces of Edge Intelligence
    Peltonen, Ella and Ahmad, Ijaz and Aral, Atakan and Capobianco, Michele and Ding, Aaron Yi and Gil-Castineira, Felipe and Gilman, Ekaterina and Harjula, Erkki and Jurmu, Marko and Karvonen, Teemu and Kelanti, Markus and Leppänen, Teemu and Lovén, Lauri and Mikkonen, Tommi and Mohan, Nitinder and Nurmi, Petteri and Pirttikangas, Susanna and Sroka, Paweł and Tarkoma, Sasu and Yang, Tingting IEEE Access, 10. pp. 104769-104782 ISSN 2169-3536 IEEE (2022)

  • Space-filling curves for improved cache-locality in shared memory environments
    Perdacher, Martin PhD thesis (2021)

  • Graphical lasso Granger method with 2-level-thresholding for recovering causality networks
    Pereverzyev Jr., Sergiy and Hlavackova-Schindler, Katerina In: System Modeling and Optimization. Springer, pp. 220-229 (2014)

  • Maximum margin structure learning of Bayesian network classifiers
    Pernkopf, Franz and Wohlmayr, Michael and Mücke, Manfred In: Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on , Prague (2011)

    • R

  • An EMG-based Brain-Computer Interface for Communication-impaired Patients: A Case Study
    Raggam, Philipp and Eder, Manuel and Popa, Alexia-Theodora and Fugger, Peter and Grosse-Wentrup, Moritz In: 9th Graz Brain-Computer Interface Conference 2024 , 9-12 Sep 2024 , Graz (2024)

  • Scaling Exponents of Time Series Data: A Machine Learning Approach
    Raubitzek, Sebastian and Corpaci, Luiza and Hofer, Rebecca and Mallinger, Kevin Entropy, 25 (12). ISSN 1099-4300 (2023)

  • Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning
    Rittel, Simon and Tschiatschek, Sebastian In: 26th European Conference on Artificial Intelligence ECAI 2023 , 30 Sep - 5 Oct 2023 , Kraków, Poland (2023)

  • Focused Contrastive Training for Test-based Constituency Analysis
    Roth, Benjamin and Çano, Erion In: NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice , Dec 14, 2021 , Sydney, Australia (2021)

    • S

  • Some comparisons between linear approximation and approximation by neural networks
    Sanguineti, Marcello and Hlavackova-Schindler, Katerina In: International Conference onArtificial Neural Nets and Genetic Algorithms, Slovenia, 1999 , 1999 , Slovenia (1999)

  • Collaborative Smart Environmental Monitoring Using Flying Edge Intelligence
    Sari, Talip Tolga and Ahmad, Sabtain and Aral, Atakan and Secinti, Gokhan In: 2023 IEEE Global Communications Conference , 4–8 Dec 2023 , Kuala Lumpur, Malaysia (2023)

  • A New Approach for Suggesting Takeover Targets Based on Computational Intelligence and Information Retrieval Methods: A Case Study from the Indian Software Industry
    Satyakama, Paul and Janecek, Andreas and Lima Neto, Fernando Buarque De and Marwala, Tshilidzi In: Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems. IGI Global, pp. 290-308 (2013)

  • Semantic Extensions to the Vienna Neural Network Specification Language
    Schikuta, Erich and Huqqani, Altaf Ahmad and Kopica, Thomas In: International Joint Conference on Neural Networks 2015 , July 12 - 17, 2015 , Killarney, Ireland (2015)

  • A Framework for Ontology Based Management of Neural Network as a Service
    Schikuta, Erich and Magdy, Abdelkader and Mohamed, A. Baith In: 23rd International Conference on Neural Information Processing (ICONIP 2016) , October 16 to 21, 2016 , Kyoto, Japan (2016)

  • Searching the Sky for Neural Networks
    Schikuta, Erich and Magdy, Abdelkader and Ul Haq, Irfan and Mohamed, A. Baith and Pittl, Benedikt and Mach, Werner In: Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017 , June 14-16 , Cadiz, Spain (2017)

  • A Cloud-Based Neural Network Simulation Environment
    Schikuta, Erich and Mann, Erwin In: Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 , June 12-14, 2013 , Puerto de la Cruz, Tenerife, Spain (2013)

  • N2Sky - Neural Networks as Services in the Clouds
    Schikuta, Erich and Mann, Erwin In: International Joint Conference on Neural Networks , 4. - 6. August 2013 , Dallas, USA (2013)

  • On the Impact of Explanations on Understanding of Algorithmic Decision-Making
    Schmude, Timothée and Koesten, Laura and Möller, Torsten and Tschiatschek, Sebastian In: ACM FAccT Conference 2023 , 12-15 Jun 2023 , Chicago, USA (2023)

  • hmBERT: Historical Multilingual Language Models for Named Entity Recognition
    Schweter, Stefan and März, Luisa and Schmid, Katharina and Çano, Erion In: Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum , 5 - 8 September, 2022 , Bologna, Italy (2022)

  • To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity
    Sedova, Anastasiia and Litschko, Robert and Frassinelli, Diego and Roth, Benjamin and Plank, Barbara In: The 2024 Conference on Empirical Methods in Natural Language Processing , November 12–16, 2024 , Miami, Florida, USA (2024)

  • ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
    Sedova, Anastasiia and Roth, Benjamin In: The 61st Annual Meeting of the Association for Computational Linguistics, 2023 , July 9-14, 2023 , Toronto, Canada (2023)

  • ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
    Sedova, Anastasiia and Roth, Benjamin In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , 6-10 Dec 2023 , Singapore (2024)

  • Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
    Sedova, Anastasiia and Zellinger, Lena and Roth, Benjamin In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) , 18-22 Sept 2023 , Turin, Italy (2023)

  • Toward the Ontology-Based Security Verification and Validation Model for the Vehicular Domain
    Shaaban Magdy, Abdelkader and Schmittner, Christoph and Quirchmayr, Gerald and Mohamed, A. Baith and Gruber, Thomas and Schikuta, Erich In: 26th International Conference on Neural Information Processing, ICONIP 2019 , December 12–15, 2019 , Sydney, NSW, Australi (2019)

  • ReInform: Selecting paths with reinforcement learning for contextualized link prediction
    Speranskaya, Marina and Methias, Sameh and Roth, Benjamin Working Paper. arXiv (2022)

  • SepLL: Separating Latent Class Labels from Weak Supervision Noise
    Stephan, Andreas and Kougia, Vasiliki and Roth, Benjamin In: Findings of the Association for Computational Linguistics: EMNLP 2022 , 7-11 Dec 2022 , Abu Dhabi, United Arab Emirates (2023)

  • Text-Guided Alternative Image Clustering
    Stephan, Andreas and Miklautz, Lukas and Leiber, Collin and Luz de Araujo, Pedro Henrique and Repas, Dominik and Plant, Claudia and Roth, Benjamin In: In Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024) , August 11–16, 2024 , Bangkok, Thailand (2024)

  • Text-Guided Image Clustering
    Stephan, Andreas and Miklautz, Lukas and Sidak, Kevin and Wahle, Jan Philip and Gipp, Bela and Plant, Claudia and Roth, Benjamin In: 18th Conference of the European Chapter of the Association for Computational Linguistics , 17-22 Mar 2024 , St. Julian’s, Malta (2024)

  • WeaNF":" Weak Supervision with Normalizing Flows
    Stephan, Andreas and Roth, Benjamin In: 60th Annual Meeting of the Association for Computational Linguistics , May 22-27 , Dublin, Ireland (2022)

  • Posterior Consistency for Missing Data in Variational Autoencoders
    Sudak, Timur and Tschiatschek, Sebastian In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery 2023 , 18-22 Sep 2023 , Turin, Italy (2023)

    • T

  • Machine Learning Based Prediction of Frequency Hopping Spread Spectrum Signals
    Thiele, Pascal and Bernado, Laura and Löschenbrand, David and Rainer, Benjamin and Sulzbachner, Christoph and Leitner, Maria and Zemen, Thomas In: 2023 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications , 5-8 Sept 2023 , Toronto, Canada (2023)

  • CogMemLM: Human-Like Memory Mechanisms Improve Performance and Cognitive Plausibility of LLMs
    Thoma, Lukas and Weyers, Ivonne and Cano, Erion and Schweter, Stefan and Mueller, Jutta L and Roth, Benjamin In: Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning , 6-10 Dec 2023 , Singapore (2023)

  • Equity and Fairness of Bayesian Knowledge Tracing
    Tschiatschek, Sebastian and Knobelsdorf, Maria and Singla, Adish In: The 15th International Conference on Educational Data Mining, EDM 2022 , 24.-27.06.2022 , Durham, UK (2022)

  • Bayesian Network Classifiers with Reduced Precision Parameters
    Tschiatschek, Sebastian and Reinprecht, Peter and Mücke, Manfred and Pernkopf, Franz pp. 74-89 Springer (2012)

    • V

  • Designing a Data Science Course for Non-Computer Science Students: Practical Considerations and Findings
    Velaj, Yllka and Dolezal, Dominik and Ambros, Roland and Plant, Claudia and Motschnig, Renate In: Frontiers in Education 2022 , 8-11 Oct. 2022 , Uppsala, Sweden (2022)

  • Teaching Data Science to Non-Computer Science Students: A Learner-Centered Approach
    Velaj, Yllka and Dolezal, Dominik and Ambros, Roland and Plant, Claudia and Motschnig, Renate In: 2023 IEEE Frontiers in Education Conference (FIE) , 18-21 Oct. 2023 , College Station, TX, USA (2023)

  • Learning in RBF networks
    Verleysen, Michel and Hlavackova-Schindler, Katerina In: Learning in RBF Networks , July 3-6, 1996 , Washington, D.C. (1996)

  • An optimized RBF network for approximation of functions
    Verleysen, Michel and Hlavackova-Schindler, Katerina In: European Symposium on Artificial Neural Networks (ESANN) 1994 , April 1994 , Brugges, Belgium (1994)

    • W

  • Knowledge Engineering and Machine Learning for Design and Use in Cyber-Physical Environments
    Walch, Michael In: AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) , 25-27 March 2019 , Stanford University, Palo Alto, California, USA (2019)

  • Knowledge-driven Enrichment of Cyber-physical Systems for Industrial Applications Using the KbR Modelling Approach
    Walch, Michael In: The 2nd International Conference on Agents, IEEE ICA 2017 , 6-9 July 2017 , Beijing, China (2017)

  • Service-Driven Enrichment for KbR in the OmiLAB Environment
    Walch, Michael and Karagiannis, Dimitris In: 5th International Conference on Serviceology , July 12 - 14, 2017 , Vienna, Austria (2017)

  • Architectural Design Decisions for Machine Learning Deployment
    Warnett, Stephen J. and Zdun, Uwe In: 19th IEEE International Conference on Software Architecture (ICSA 2022) , 12-15 March, 2022 , Honolulu, Hawaii, USA (2022)

  • Architectural Design Decisions for the Machine Learning Workflow
    Warnett, Stephen J. and Zdun, Uwe pp. 40-51 IEEE Computer Society (2022)

  • A Model-Driven, Metrics-Based Approach to Assessing Support for Quality Aspects in MLOps System Architectures
    Warnett, Stephen John and Ntentos, Evangelos and Zdun, Uwe ISSN 0164-1212 Elsevier (2025)

  • On the Understandability of MLOps System Architectures
    Warnett, Stephen John and Zdun, Uwe IEEE Transactions on Software Engineering. pp. 1-25 ISSN 0098-5589 IEEE (2024)

  • CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning
    Weber, Pascal and Miklautz, Lukas and Kumar, Akshey and Grosse-Wentrup, Moritz and Plant, Claudia In: 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023 , 9-13 Oct 2023 , Thessaloniki, Greece (2023)

  • 2021 BEETL competition: Advancing transfer learning for subject independence & heterogenous EEG data sets
    Wei, Xiaoxi and Faisal, A. Aldo and Grosse-Wentrup, Moritz and Gramfort, Alexandre and Chevallier, Sylvain and Jayaram, Vinay and Jeunet, Camille and Bakas, Stylianos and Ludwig, Siegfried and Barmpas, Konstantinos and Bahri, Mehdi and Panagakis, Yannis and Laskaris, Nikolaos and Adamos, Dimitrios A. and Zafeiriou, Stefanos and Duong, William C. and Gordon, Stephen M. and Lawhern, Vernon J. and Śliwowski, Maciej and Rouanne, Vincent and Tempczyk, Piotr In: Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) , 6-14 Dec 2021 , virtual event (2022)

  • Neural Network Exemplar Parallelization with Go
    Wiesinger, Georg and Schikuta, Erich Technical Report. arXiv (2023)

  • Explainable AI in Predicting Anthropogenic Forest Fire Risk in Austria: A multi-criteria approach.
    Wimmer, Elisabeth and Mallinger, Kevin and Raubitzek, Sebastian and Lawitschka, Caroline and Neubauer, Thomas and Schrittwieser, Sebastian In: International Conference on Digitalization and Artificial Intelligence in Agricultural Management 2023 , 15-17th november 2023 , Digital Futures hub, Osquars Backe 5, floor 2 at KTH main campus Stockholm, Sweden (2023)

  • DARE - a Comprehensive Methodology for Mastering Kanji
    Wloka, Bartholomäus and Winiwarter, Werner In: 23rd International Conference on Information Integration and Web Intelligence (iiWAS2021) , 29 Nov - 01 Dec 2021 , Linz, Austria (2021)

  • ILEX – an Integrated Language learning EXperience
    Wloka, Bartholomäus and Winiwarter, Werner In: EdMedia + Innovate Learning , 06-08 Jul 2021 , United States (2021)

    • Z

  • Semantic Web-enhanced Context-aware Computing in Mobile Systems: Principles and Application
    Zander, Stefan and Schandl, Bernhard In: Mobile ComputingTechniques in Emerging Markets: Systems, Applications and Services. IGI Global (In Press) (2012)

  • Counterfactual Reasoning with Knowledge Graph Embeddings
    Zellinger, Lena and Stephan, Andreas and Roth, Benjamin In: 18th Conference of the European Chapter of the Association for Computational Linguistics , 17-22 Mar 2024 , St. Julian’s, Malta (2024)

  • Dynamic Search in Fireworks Algorithm
    Zheng, Shaoqiu and Janecek, Andreas and Li, Junzhi and Tan, Ying In: 2014 IEEE Congress on Evolutionary Computation , July 6-11, 2014 , Beijing, China (2014)

  • Enhanced Fireworks Algorithm
    Zheng, Shaoqiu and Janecek, Andreas and Tan, Ying In: Evolutionary Computation (CEC), 2013 IEEE Congress on , 20-23 June 2013 , Cancun, Mexico (2013)

  • A Cooperative Framework for Fireworks Algorithm
    Zheng, Shaoqiu and Li, Junzhi and Janecek, Andreas and Tan, Ying ISSN 1545-5963 IEEE COMPUTER SOC (2015)

  • Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures
    Zhou, Hao and Aral, Atakan and Brandic, Ivona and Erol-Kantarci, Melike ISSN 2327-4662 IEEE (2021)

  • Weaker Than You Think: A Critical Look at Weakly Supervised Learning
    Zhu, Dawei and Shen, Xiaoyu and Mosbach, Marius and Stephan, Andreas and Klakow, Dietrich In: The 61st Annual Meeting of the Association for Computational Linguistics, 2023 , July 9-14, 2023 , Toronto, Canada (2023)

  • Batch Layer Normalization, A new normalization layer for CNNs and RNNs
    Ziaee, Amir and Çano, Erion In: 2022 The 6th International Conference on Advances in Artificial Intelligence , Oct 21, 2022 - Oct 23, 2022 , Birmingham, United Kindom (2022)

  • Edge Offloading for Microservice Architectures
    Zilic, Josip and De Maio, Vincenzo and Aral, Atakan and Brandić, Ivona In: 5th International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2022) , 05.04.2022 , Rennes, France (2022)

  • Mixins and Extenders for Modular Metamodel Customisation
    Zivkovic, Srdjan and Karagiannis, Dimitris In: 18th International Conference on Enterprise Information Systems , 25-28 April , Rome (2016)

    • Ç

  • AlbMoRe: A Corpus of Movie Reviews for Sentiment Analysis in Albanian
    Çano, Erion Discussion Paper. UNSPECIFIED (2023)

  • AlbNER: A Corpus for Named Entity Recognition in Albanian
    Çano, Erion Discussion Paper. UNSPECIFIED (2023)

  • Topic Segmentation of Research Article Collections
    Çano, Erion and Roth, Benjamin Working Paper. Arxiv (2022)

    • This list was generated on Mon Dec 30 15:21:44 2024 CET.
    Universität Wien| Fakultät für Informatik | Währinger Straße 29 | 1090 Wien | T +43-1-4277-780 01 | Imprint | Webteam
    EPrints Logo
    CS is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.