• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 58 matches

• 2024
• 
  Jonas Ekeland Kittelsen, Eric Aislan Antonelo, Eduardo Camponogara, Lars Struen Imsland:
  Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells. Appl. Soft Comput. 158: 111603 (2024)
• 
  Luis Fernando Nazari, Eduardo Camponogara, Lars Struen Imsland, Laio Oriel Seman:
  Neural networks informed by physics for modeling mass flow rate in a production wellbore. Eng. Appl. Artif. Intell. 128: 107528 (2024)
• 
  Jonas Ekeland Kittelsen, Eric Aislan Antonelo, Eduardo Camponogara, Lars Struen Imsland:
  Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells. CoRR abs/2403.02289 (2024)
• 2023
• 
  Cuthbert Shang Wui Ng, Menad Nait Amar, Ashkan Jahanbani Ghahfarokhi, Lars Struen Imsland:
  A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation. Comput. Chem. Eng. 170: 108107 (2023)
• 2021
• 
  Nikhil Krishna Bajjuri, Amit Kumar Jain:
  Mathematical Modeling and Current-Oriented Control of Double-Inverter-Fed Wound Rotor IM Emulated as Two Virtual Cage Rotor IMs. IEEE Trans. Ind. Electron. 68(11): 10488-10497 (2021)
• 
  Elena Lisanyuk, Dmitry Prokudin:
  Software for Modeling Deliberative Argumentation: Requirements and Criteria. IMS 2021: 11-23
• 
  Alena Mamaeva, Ivan Mamaev:
  Monitoring Governmental Topics on Social Media Using Dynamic Topic Modeling. IMS 2021: 45-55
• 
  Mathilde Hotvedt, Bjarne A. Grimstad, Dag Ljungquist, Lars Imsland:
  On gray-box modeling for virtual flow metering. CoRR abs/2103.12513 (2021)
• 
  Eric Bradford, Lars Imsland, Marcus Reble, Ehecatl Antonio del Rio-Chanona:
  Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes. CoRR abs/2108.06430 (2021)
• 
  Mathilde Hotvedt, Bjarne A. Grimstad, Dag Ljungquist, Lars Imsland:
  When is gray-box modeling advantageous for virtual flow metering? CoRR abs/2110.05034 (2021)
• 2020
• 
  Mariya Smirnova, Aleksey Dobrov, Anastasiya Dobrova, Nikolay Soms, Olga Dzhangolskaya:
  Ontological and Formal Grammatical Modeling of Tibetan Nominalized Verb Phrases. IMS (CLCO) 2020: 63-72
• 2019
• 
  Ouyang Wu, Ala E. F. Bouaswaig, Lars Imsland, Stefan Marco Schneider, Matthias Roth, Fernando Moreno Leira:
  Campaign-based modeling for degradation evolution in batch processes using a multiway partial least squares approach. Comput. Chem. Eng. 128: 117-127 (2019)
• 2017
• 
  Igor Danilov, Natalya Egorova:
  Laboratory practical works on physics based on modeling in the spreadsheet MS Excel. IMS (ISESCTF) 2017: 104-113
• 2016
• 
  Pavel O. Abaev, Vitaly Beschastny, Alexey Tsarev:
  On Analytical Modeling Of IMS Conferencing Server. ECMS 2016: 705-709
• 2014
• 
  Ngoc Thang Vu, David Imseng, Daniel Povey, Petr Motlícek, Tanja Schultz, Hervé Bourlard:
  Multilingual deep neural network based acoustic modeling for rapid language adaptation. ICASSP 2014: 7639-7643
• 2013
• 
  David Imseng, Petr Motlícek, Philip N. Garner, Hervé Bourlard:
  Impact of deep MLP architecture on different acoustic modeling techniques for under-resourced speech recognition. ASRU 2013: 332-337
• 
  Lobna I'Msaddak, Dalenda Ben Issa, Abdennacer Kachouri:
  Compact modeling and applications of Carbon nanotube field effect transistors CNTFETs based CMOS-like complementary NOR, OR, NAND, and AND logic gates. DTIS 2013: 176-177
• 2012
• 
  Felipe Lalanne:
  Modeling and methodologies for the test of IMS services. (Modélisation et méthodologie pour le test de services IMS). Telecom & Management SudParis, Évry, Essonne, France, 2012
• 
  Patricia Santos, Davinia Hernández Leo, Mar Pérez-Sanagustín, Josep Blat:
  Modeling the Computing Based Testing domain extending IMS QTI: Framework, models and exemplary implementations. Comput. Hum. Behav. 28(5): 1648-1662 (2012)
• 
  Stefano Marrone, Nicola Mazzocca, Roberto Nardone, Roberta Presta, Simon Pietro Romano, Valeria Vittorini:
  A SAN-Based Modeling Approach to Performance Evaluation of an IMS-Compliant Conferencing Framework. Trans. Petri Nets Other Model. Concurr. 6: 308-333 (2012)
• 
  Milos Cernak, David Imseng, Hervé Bourlard:
  Robust triphone mapping for acoustic modeling. INTERSPEECH 2012: 1910-1913
• 
  David Imseng, John Dines, Petr Motlícek, Philip N. Garner, Hervé Bourlard:
  Comparing different acoustic modeling techniques for multilingual boosting. INTERSPEECH 2012: 1191-1194
• 2011
• 
  David Imseng, Ramya Rasipuram, Mathew Magimai-Doss:
  Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition. ASRU 2011: 348-353
• 
  Silvia Baldiris, Sabine Graf, Ramón Fabregat:
  Dynamic User Modeling and Adaptation Based on Learning Styles for Supporting Semi-Automatic Generation of IMS Learning Design. ICALT 2011: 218-220
• 
  Ioannis Magnisalis, Stavros N. Demetriadis:
  Modeling Adaptation Patterns in the Context of Collaborative Learning: Case Studies of IMS-LD Based Implementation. Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding 2011: 279-310
• 2010
• 
  Muslim Elkotob:
  Architectural, Service, and Performance Modeling for an IMS-MBMS-Based Application. ICC 2010: 1-7
• 2009
• 
  Ricardo Valdivia, Miguel Nussbaum, Sergio F. Ochoa:
  Modeling a Collaborative Answer Negotiation Activity Using IMS-Based Learning Design. IEEE Trans. Educ. 52(3): 375-384 (2009)
• 
  Jorge Hernández, Silvia Baldiris, Olga C. Santos, Ramón Fabregat, Jesus Boticario:
  Conditional IMS Learning Design Generation Using User Modeling and Planning Techniques. ICALT 2009: 228-232
• 
  Susanne Neumann, Petra Oberhuemer:
  User Evaluation of a Graphical Modeling Tool for IMS Learning Design. ICWL 2009: 287-296
• 
  Ioannis Magnisalis, Stavros N. Demetriadis:
  Modeling Adaptation Patterns with IMS-LD Specification: A Case Study as a Proof of Concept Implementation. INCoS 2009: 295-300

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