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• Klaus-Peter Fähnrich
  ...e and E-Learning. He is member of the advisory committee of the Saxonian E-Learning Portal and the Master-Programme Media Leipzig (MML). ...er respectively co-founder of several successful spin-off companies and is active in the german entrepreneur scenery.
  3 KB (375 words) - 01:07, 14 August 2008
• ICIW 2009
  ...ng, but also new challenges for software engineers and developers. Virtual Learning Environments have to be built bearing in mind their mandatory use through t **E-Learning
  18 KB (2,408 words) - 02:37, 16 December 2008
• DBKDA 2020
  ...he Internet; Object-oriented databases; Web-based databases; Deductive and active databases ..., geospatial, space/; XML-data and process /data warehouse, workflow, web, learning, control/;
  11 KB (1,371 words) - 12:28, 18 May 2020
• ICIAP 2009
  ...e vision, active vision, spatial reasoning, 2D and 3D modeling, perceptual learning.
  2 KB (268 words) - 17:47, 14 October 2008
• Cognitive 2009
  This workshop is focused on the relevance of computational learning fields of NLP, machine learning, artificial intelligence,
  7 KB (888 words) - 21:58, 14 October 2008
• INTERNET 2009
  ...dio networks: low power signal processing methods, applications of machine learning Streaming video: learning from video, techniques for in-network modulation
  11 KB (1,385 words) - 17:48, 14 October 2008
• VLDB 2009
  * Active Databases ...l be achieved within the chosen time period and the indication of the main learning outcomes. Proposals should also include contact information (name, email, a
  11 KB (1,527 words) - 10:03, 19 February 2021
• BIH 2016
  * Computational mechanisms of learning and memory; * Learning mechanisms (e.g., stability, personalized user/student models);
  6 KB (692 words) - 23:59, 30 May 2016
• UIC 2009
  be context-aware, active, interactive, reactive, proactive, assistive, * Pervasive Learning, Games, Entertainment
  7 KB (942 words) - 20:05, 14 October 2008
• HCIR 2008
  * Relevance feedback and active learning approaches for
  5 KB (575 words) - 22:45, 14 October 2008
• JNLE 2008
  ...ge and on the use of learning methods in this context. RTE has fostered an active and growing community of researchers focused on the problem of applied enta ...y/subsumption metrics - Tree-based distances and transformations - Machine learning - Logical inference using theorem provers
  3 KB (476 words) - 23:01, 14 October 2008
• AISTATS 2009
  * Active learning and experimental design * Cluster analysis and unsupervised learning
  3 KB (341 words) - 19:39, 26 February 2020
• ASPOCP 2008
  active research. New methods of computing answer sets are being - ASP and machine learning.
  5 KB (645 words) - 23:04, 14 October 2008
• AMTA 2008
  Machine Translation continues to be one of the most active research areas within Natural Language Processing. MT evaluations, such as c. Morphology : significant agreement errors, no learning from corrections
  16 KB (2,200 words) - 20:51, 18 February 2021
• STEP 2008
  The goal of the STEP workshop is to provide a forum for anyone active - learning semantic representations from raw text
  7 KB (856 words) - 23:06, 14 October 2008
• Journal of Information Technology & Poli 2008
  and machine learning. These techniques facilitate the automatic (i.e. via "supervised" machine learning methods), or
  5 KB (682 words) - 09:30, 28 August 2020
• ADW 2008
  several active research areas including information retrieval, Aspects of the Web (SAW 2008) and on E-Learning for Business Needs).
  7 KB (875 words) - 23:10, 14 October 2008
• ICACT 2009
  15. Open Programmable Networks and Active Networks 19. e-Commerce, Mobile Commerce, e-Government, e-Learning and e-Health
  2 KB (200 words) - 23:11, 14 October 2008
• DAS 2008
  * Learning and classification methodologies for document analysis systems ...sters and demos will be introduced in short presentations to encourage the active participation of everyone. For the working group discussions, participants
  5 KB (635 words) - 23:16, 14 October 2008
• ISPRA 2009
  Active noise control Active noise reduction
  8 KB (982 words) - 23:17, 14 October 2008
• CVISP 2008
  Active Vision Machine Learning and Data Mining
  4 KB (438 words) - 23:17, 14 October 2008
• SEKE 2008
  # software engineering with computational intelligence and machine learning * Active rules in database systems
  6 KB (733 words) - 12:48, 27 October 2016
• IDAMAP 2008
  learning, and data mining. atmosphere which fosters the active exchange of ideas among researchers
  7 KB (1,015 words) - 23:19, 14 October 2008
• NDS 2009
  ...e theory and applications of multidimensional systems as well as to enable active researchers in the area of nD systems to meet and exchange ideas. * Iterative Learning Control (ILC)
  2 KB (253 words) - 23:24, 14 October 2008
• VISAPP 2009
  - Dynamics and Learning for Gesture Interpretation - Visual Learning
  6 KB (872 words) - 11:31, 21 February 2020
• FCV 2009
  ...robust recognition, learning, shape-from-X, motion analysis, segmentation, active vision, CADbased vision, model-based vision
  2 KB (264 words) - 23:25, 14 October 2008
• VISAPP 2008
  - Dynamics and Learning for Gesture Interpretation - Visual Learning
  4 KB (568 words) - 11:31, 21 February 2020
• VRCAI 2008
  in work- and learning-related activities. + Active and Passive Stereo Systems
  4 KB (552 words) - 23:27, 14 October 2008
• ER 2008
  * Active Concepts in Conceptual Modeling. * E-Learning, E-Business, E-Government, and
  18 KB (2,282 words) - 17:11, 15 October 2008
• ICIT 2009
  ...onal industry. It brings together researchers, from industry and academia, active in industrial technological fields to discuss current developments and futu ...power quality, electric vehicle, analytical and simulation methods, and e-learning in education.
  4 KB (504 words) - 23:33, 14 October 2008
• STOC 2008
  ...cs, randomness in computing, parallel and distributed computation, machine learning, applications of logic, algorithmic algebra and coding theory, computationa ...thors are required to submit their extended abstracts electronically. Once active, the submission server will be accessible here. The submission deadline is
  5 KB (766 words) - 23:37, 14 October 2008
• HotOS 2009
  ...contributions influenced by other fields such as hardware design, machine learning, control theory, networking, economics, social organizations, and biologica ...rkshop environment, attendance is limited to about 60 participants who are active in the field. Participants will be invited based on their submissions' orig
  6 KB (781 words) - 23:39, 14 October 2008
• COLT 2018
  |Title=31st Annual Conference on Learning Theory |Field=Theoretical Aspects of Machine Learning and Related Topics
  3 KB (314 words) - 09:33, 1 April 2020
• FSMNLP 2009
  5. applications of rational kernels to active/statistical machine learning of finite-state models. 2.Machine Learning with Automata by Colin de la Higuera
  10 KB (1,287 words) - 13:02, 18 January 2009
• ICML ML Evaluation 2009
  | Title = ICML 2009 Workshop on Evaluation Methods for Machine Learning IV | Field = Machine learning
  5 KB (799 words) - 16:33, 27 February 2009
• AIDC 2009
  ACTIVE PARTICIPATION o Recommending scholars/researchers in order to have an active participation and/or submit the papers.
  8 KB (977 words) - 16:33, 27 February 2009
• ACML 2009
  | Title = The 1st Asian Conference on Machine Learning | Field = Machine learning
  5 KB (607 words) - 17:03, 27 December 2015
• CSEIT 2011
  * Active Learning * Case-Based Learning
  2 KB (283 words) - 15:21, 25 February 2021
• ISC 2009
  This session covers: Computer Assisted Learning and Simulation Trainers, Customizing of ERP Systems using Simulation, Distr ..., Simulation of Collective Behaviour and Emergent Phenomena, Simulation of Learning and Adaptation Processes, Assessment Criteria and Assessment Methods for Si
  38 KB (4,832 words) - 17:07, 27 February 2009
• PMPC 2009
  ...nswer the following focused questions by stimulating and involving as many active researchers in this field as possible: - Personalized mobile learning
  5 KB (711 words) - 17:08, 27 February 2009
• CoNLL 2020
  |Title=Conference on Natural Language Learning ...]] (pronounce as signal) is the Special Interest Group on Natural Language Learning of the [[Association for Computational Linguistics]] (ACL).
  3 KB (349 words) - 11:44, 3 August 2020
• VISAPP 2010
  - Dynamics and Learning for Gesture Interpretation - Visual Learning
  5 KB (595 words) - 11:32, 21 February 2020
• ECMR 2009
  ...nd appearance-based robotics, path and task planning, multi-robot systems, learning and adaptation, vision-based navigation, multimodal human-robot interaction
  2 KB (201 words) - 11:04, 29 June 2009
• AGI 2010
  ...telligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and discussion of ide ...event.showcfp?eventid=6269&copyownerid=5802 WikiCFP][[Category:Machine learning]]
  1 KB (153 words) - 12:54, 27 December 2015
• SAC - ROBOT 2010
  Active Perception and Vision Learning
  3 KB (324 words) - 11:33, 2 August 2009
• LIS 2010
  | Title = Learning in Intelligent Systems: FLAIRS Special Track | Field = Machine learning
  7 KB (1,003 words) - 19:42, 2 August 2009
• VRCAI 2009
  ...ances provide the foundation for more effective interactivity in work- and learning-related activities. + Active and Passive Stereo Systems
  4 KB (536 words) - 11:34, 2 August 2009
• FCV 2008
  ...robust recognition, learning, shape-from-X, motion analysis, segmentation, active vision, CAD-based vision, model-based vision
  2 KB (229 words) - 11:35, 2 August 2009
• ICIMP 2010
  ...and worms, etc.); Traffic profile during disaster recovery; Traffic during active emergency services; Early warning on growing undesired traffic; Access cont Performance-oriented design; Active and passive performance monitoring; Performance metrics and measurements; M
  14 KB (1,651 words) - 15:56, 15 February 2017
• CALL FOR PAPER Journal: Advances in Multimedia - An International Journal (AMIJ)
  • Active Learning • Animation
  3 KB (338 words) - 16:45, 5 July 2020
• ICPRAM 2012
  * Embedding and Manifold Learning * Similarity and Distance Learning
  3 KB (351 words) - 11:32, 1 July 2011
• VISAPP 2012
  * Machine Learning Technologies for Vision * Active and Robot Vision
  4 KB (538 words) - 11:34, 21 February 2020
• AICT 2021
  ...home networking; Sensor, mesh, and Ad hoc networks; Programmable networks; Active networks; Self-organization and network reconfiguration; Partial and interm Service-oriented architectures; E-Learning and mobile learning on telecommunications; SOHO (Small Offices/Home Offices; Emerging telecommu
  13 KB (1,580 words) - 19:35, 18 February 2021
• VISAPP 2013
  Machine Learning Technologies for Vision Active and Robot Vision
  5 KB (599 words) - 11:34, 21 February 2020
• LINQ 2012
  ...er and presentation and join in our dialogue on Innovations and Quality in Learning, Education and Training (LET). ...vision of learning innovations in Europe with her contribution concerning learning quality and the standards that are needed to ensure the efficacy of Europea
  3 KB (465 words) - 10:46, 14 August 2012
• ALatIKNOW 2016
  |Title=Active Learning: Applications, Foundations and Emerging Trends |Field=active learning, selective sampling, data mining, machine learning
  368 bytes (37 words) - 06:22, 20 September 2016
• IMMM 2021
  ...information extraction; Community detection in social networks; Mining and learning activities; Confidence-based and incomplete information ...textual processing platforms; Deep language embedding; Large-Scale machine learning; Fault-tolerance for parallel data processing; Encrypted query processing;
  10 KB (1,305 words) - 00:29, 12 December 2020
• KDK 2017
  ...ovation is at the core of data science research, employing NLP and machine learning methods as well as semantic technologies based on knowledge graphs Language data is of increasing importance to machine learning-based approaches in NLP, Linked Data and Semantic Web research and applicat
  6 KB (847 words) - 15:02, 8 December 2016
• COLT 2017
  |Title=30th Annual Conference on Learning Theory |Field=Computational Learning Theory
  2 KB (240 words) - 15:50, 21 May 2019
• LAWCN 2017
  from companies active in the field; and * Reinforcement learning
  14 KB (1,941 words) - 11:55, 8 August 2017
• ACEdu 2017
  Why are we in teaching and learning if not to be able to help enrich the lives look forward to your active participation in this vital field of future-oriented
  6 KB (928 words) - 20:11, 12 November 2020
• SI BWild 2017 : Image and Vision Computing (IVC) Special Issue on Biometrics in the Wild
  |Field=machine learning highly active area of research. The interest in this area is fueled by the
  3 KB (403 words) - 13:30, 28 July 2017
• ACML 2017
  |Title=ACML 2017 : The 9th Asian Conference on Machine Learning The 9th Asian Conference on Machine Learning (ACML 2017) will take place on
  3 KB (347 words) - 11:52, 8 August 2017
• VISAPP 2018
  - Machine Learning Technologies for Vision - Active and Robot Vision
  4 KB (560 words) - 11:35, 21 February 2020
• DMIP 2017
  and machine learning. These methods are moving out of academic and high tech values in supervised learning, or acquiring the values of missing explanatory
  4 KB (589 words) - 14:05, 3 December 2020
• ICON 2017
  *Machine Learning in NLP influence, use, teaching and learning of English-in-diaspora in the world
  9 KB (1,315 words) - 12:00, 3 September 2017
• MIPR 2018 : he First (2018) IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR'18)
  * Relevance Feedback, Active/Transfer Learning Machine Learning/Deep Learning/Data Mining
  5 KB (654 words) - 09:58, 21 August 2017
• CSEDU 2018
  learning strategies, institutional policies on computer supported education is currently a preferred medium for distance learning and the learning practice
  5 KB (724 words) - 18:04, 10 February 2021
• SI-SoftMM 2017 : Special Issue on Soft Computing Techniques and Applications on MM Data Analyzing Systems-- Springer Journal of Multimedia Tools and Applications
  knowledge learning. Probabilistic reasoning is used to solve probability inference model imitate human process data, knowledge learning and
  4 KB (598 words) - 09:58, 21 August 2017
• A Survey of Current Link Discovery Frameworks
  ...arning-based approaches such as unsupervised genetic programming or active learning. On the other side, we found that most tools still focus on simple property
  4 KB (577 words) - 23:39, 11 July 2018
• LIMES - A Time-Efficient Approach for Large-Scale Link Discovery on the Web of Data
  |Future work=We aim to explore the combination of LIMES with active learning strategies in a way, that a manual configuration of the tool becomes unnece
  4 KB (664 words) - 09:29, 2 March 2019
• ALT 2020
  |Title=31st International Conference on Algorithmic Learning Theory * Design and analysis of learning algorithms.
  1 KB (156 words) - 15:01, 4 March 2021
• ICTAI 2020
  * Machine Learning and Data Mining * Learning Graphical Models and Complex Networks
  1 KB (148 words) - 14:19, 26 March 2020
• ALT 2019
  |Title=30th International Conference on Algorithmic Learning Theory * Design and analysis of learning algorithms.
  1 KB (170 words) - 09:05, 17 April 2020
• PEPM 2019
  * Semantics based and machine-learning based program synthesis and program optimisation. ...percompilation, partial evaluation, fusion, on-the-fly program adaptation, active libraries, program inversion, slicing, symbolic execution, refactoring, dec
  7 KB (1,057 words) - 10:13, 17 April 2020
• UIC 2019
  * Smart Healthcare and Active Assisted Living * Smart Education and Learning
  3 KB (284 words) - 15:23, 16 April 2020
• UIC 2018
  * – Smart Education and Learning * – Smart Healthcare and Active Assisted Living
  2 KB (243 words) - 15:46, 16 April 2020
• PEPM 2018
  * Semantics based and machine-learning based program synthesis and program optimisation. ...percompilation, partial evaluation, fusion, on-the-fly program adaptation, active libraries, program inversion, slicing, symbolic execution, refactoring, dec
  8 KB (1,080 words) - 10:43, 17 April 2020
• ICAS 2020
  ...ctive adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain conne ...Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust op
  16 KB (1,897 words) - 12:31, 18 May 2020
• ISCAS 2020
  ...and the world’s premiere networking forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. This i * Cognitive Computing & Deep Learning
  3 KB (337 words) - 17:15, 6 May 2020
• FPGA 2020
  ...bling digital signal processing, compute acceleration, networking, machine learning, and embedded systems. ...will include a Sunday workshop oriented toward users of FPGAs: be it deep learning implementations, computer security or other emerging topics of interest. Fo
  11 KB (1,541 words) - 15:35, 18 June 2020
• ICIW 2020
  ...ency communications; Interactive analysis on Big Data; Streaming/Real-Time/Active Streaming; Internet-scale real-time analytics; Real-time data aggregation; ...aching-Learning Experiences using the Internet for Educational Purposes; E-learning in the European Higher Education Area (EHEA) and other HE contexts; Web pro
  14 KB (1,804 words) - 13:49, 5 June 2020
• ICSI 2017
  * Evolutionary learning systems * Active learning
  5 KB (691 words) - 11:40, 11 June 2020
• SLT 2021
  ...submitting your excellent research work to the open calls and maintaining active communication. We are constantly aimed at conducting and publicizing the ou ...und "Spoken language technologies: deep learning and beyond". Besides deep learning, we also encourage explorative efforts on new paradigms and forward-looking
  3 KB (448 words) - 11:35, 15 June 2020
• ICIMP 2020
  Blockchain and machine learning for cybersecurity; Behavioral biometrics authentication; Privacy by design; ...and worms, etc.); Traffic profile during disaster recovery; Traffic during active emergency services; Early warning on growing undesired traffic; Access cont
  17 KB (2,088 words) - 12:49, 14 June 2020
• IMMM 2020
  ...information extraction; Community detection in social networks; Mining and learning activities; Confidence-based and incomplete information ...textual processing platforms; Deep language embedding; Large-Scale machine learning; Fault-tolerance for parallel data processing; Encrypted query processing;
  11 KB (1,356 words) - 12:56, 14 June 2020
• ICSNC 2020
  ...gement in vehicular networks; Driver-oriented support systems /assistance, active&passive safety, etc./; Case studies and fields trials on vehicular networks ...ction in learning software and hardware; Social impact metrics on distance learning; Methodologies and processes for education; Curriculum projects and experie
  13 KB (1,636 words) - 11:51, 10 July 2020
• INTERNET 2020
  ...icing, cyclostationary signatures, frame synchronization; Streaming video: learning from video, techniques for in-network modulation, adaptive video streaming; ...ess, source coding vs. network coding, recoverability; Statistical machine learning: probabilistic graphical models, classification, clustering, regression, cl
  13 KB (1,550 words) - 02:20, 10 July 2020
• CENTRIC 2020
  ...areness; Emotional intelligence; Happiness entailment; Cooperative machine learning; Emotion prediction; Emotion recognition; Emotion in ambiguous speech Machine learning and artificial neural networks; Network control and feedback with man-in-th
  10 KB (1,232 words) - 16:20, 22 March 2021
• ICMIM 2020
  * •Machine learning for RF sensors systems * •Sensing and imaging techniques and systems (passive, active)
  2 KB (245 words) - 15:43, 20 August 2020
• WPNC 2019
  * Machine learning for localization * Active u0026amp; passive object tracking
  3 KB (292 words) - 12:44, 3 September 2020
• CAiSE 2021
  * Artificial Intelligence and Machine Learning * Active and interactive models
  3 KB (346 words) - 16:20, 24 September 2020
• ALLDATA 2021
  Advanced topics in Deep/Machine learning Distributed and parallel learning algorithms; Image and video coding;
  9 KB (1,239 words) - 14:37, 29 December 2020
• ICAS 2021
  ...ctive adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain conne ...Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust op
  16 KB (1,874 words) - 12:15, 24 November 2020
• DBKDA 2021
  Knowledge Discovery and Machine Learning ...earning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data, big data, graph data, time series, sparse data, etc.)
  11 KB (1,360 words) - 18:45, 26 November 2020
• ICIMP 2021
  Blockchain and machine learning for cybersecurity; Behavioral biometrics authentication; Privacy by design; ...and worms, etc.); Traffic profile during disaster recovery; Traffic during active emergency services; Early warning on growing undesired traffic; Access cont
  17 KB (2,035 words) - 14:45, 18 February 2021
• INTERNET 2021
  applications of machine learning; Cognitive radio: medium access, synchronization; Streaming video: learning from video, techniques for
  13 KB (1,607 words) - 19:32, 30 November 2020
• PATTERNS 2021
  ...rsity-based ensemble; Ensemble Classification; Ensemble Clustering; Active Learning from video streams patterns; Geodesic-based similarities; Leaf species clas ...ion recognition; Shared feature learning; Video-to-Video face recognition; Learning patterns of disabled/elderly; Using therapeutic data; Malignancy-oriented p
  8 KB (942 words) - 18:55, 8 December 2020
• COMPUTATION TOOLS 2021
  ...er set programming; Non-monotonic cause-effect relations; Paraconsistency; Active integrity constraints Machine learning; Fuzzy theory/computation/logic; (Artificial) neuronal networks; Distribute
  7 KB (764 words) - 18:56, 8 December 2020
• ICIW 2021
  ...ncy communications; Interactive analysis on Big Data; Streaming/Real-Time/Active Streaming; Internet-scale real-time analytics; Real-time data aggregation; ML: Machine Learning for Web-based applications and Internet data
  15 KB (1,921 words) - 01:00, 12 December 2020
• ALLDATA
  Advanced topics in Deep/Machine learning ...sting, debugging, and monitoring of machine learning applications; Machine learning for systems.
  9 KB (1,229 words) - 03:37, 3 December 2021
• "ICAS 2021"
  ...ctive adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain conne ...Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust op
  16 KB (1,874 words) - 14:47, 10 February 2021
• " DBKDA 2021"
  Knowledge Discovery and Machine Learning ...earning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data, big data, graph data, time series, sparse data, etc.)
  11 KB (1,361 words) - 14:52, 10 February 2021
• CNSM 2021
  * Machine learning, deep learning, artificial intelligence * Federated learning
  3 KB (291 words) - 11:57, 25 February 2021
• ICAS
  ...lated trends, Social robots and cognition, Advanced topics in Deep/Machine learning, Advances in system automation, Driver-less cars and unmanned vehicles, The ...ctive adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain conne
  16 KB (1,956 words) - 11:50, 3 March 2021
• DBKDA
  |Field=Advances in fundamentals on databases, Knowledge Discovery and Machine Learning, NoSQL Databases, Current ongoing researches, Databases and other domains Knowledge Discovery and Machine Learning
  12 KB (1,409 words) - 12:01, 3 March 2021
• ALT 2021
  |Title=32nd International Conference on Algorithmic Learning Theory ...ference is dedicated to all theoretical and algorithmic aspects of machine learning.
  1 KB (162 words) - 15:10, 4 March 2021
• CIKM 2021
  * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection a ...ledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural p
  37 KB (5,185 words) - 11:25, 3 August 2023
• CIKM 2011
  Dynamic aspects of databases (updates, views, real-time data, sensor data, active databases, data streams) Machine Learning for IR
  6 KB (723 words) - 07:11, 16 August 2023