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2020 – today
- 2024
[j27]Aleksej Logacjov
, Sverre Herland, Astrid Ustad, Kerstin Bach:
SelfPAB: large-scale pre-training on accelerometer data for human activity recognition. Appl. Intell. 54(6): 4545-4563 (2024)- [j26]Aleksej Logacjov, Kerstin Bach:
Self-supervised learning with randomized cross-sensor masked reconstruction for human activity recognition. Eng. Appl. Artif. Intell. 128: 107478 (2024) - [j25]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Uncertainty-aware autonomous sensing with deep reinforcement learning. Future Gener. Comput. Syst. 156: 242-253 (2024) - [c59]Stuart Gallina Ottersen, Kerstin Bach:
Automatic Adjusting Global Similarity Measures in Learning CBR Systems. ICCBR 2024: 17-32 - [c58]Sverre Herland, Kerstin Bach, Ekrem Misimi:
6-DoF Closed-Loop Grasping with Reinforcement Learning. ICRA 2024: 7812-7818 - 2023
- [j24]Frank Alexander Kraemer, Hafiz Areeb Asad, Kerstin Bach, Bernd-Christian Renner:
Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy. IEEE Access 11: 38417-38425 (2023) - [j23]Tiago Veiga, Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach:
Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. Future Gener. Comput. Syst. 142: 4-13 (2023) - [j22]Deepika Verma, Kerstin Bach, Paul Jarle Mork:
External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app. Int. J. Medical Informatics 170: 104936 (2023) - [j21]Fredrik Granviken, Ingebrigt Meisingset, Ottar Vasseljen, Kerstin Bach, Anita Formo Bones, Nina Elisabeth Klevanger:
Acceptance and use of a clinical decision support system in musculoskeletal pain disorders - the SupportPrim project. BMC Medical Informatics Decis. Mak. 23(1): 293 (2023) - [j20]Astrid Ustad, Aleksej Logacjov, Stine Øverengen Trollebø, Pernille Thingstad, Beatrix Vereijken, Kerstin Bach, Nina Skjæret-Maroni:
Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model. Sensors 23(5): 2368 (2023) - [c57]Sverre Herland, Kerstin Bach:
Vessel-to-Vessel Motion Compensation with Reinforcement Learning. AAAI 2023: 15682-15688 - [c56]Eirik Lund Flogard, Ole Jakob Mengshoel, Ole Magnus Theisen, Kerstin Bach:
Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. ECAI 2023: 3218-3225 - [c55]Betül Bayrak, Kerstin Bach:
A Twin XCBR System Using Supportive and Contrastive Explanations. ICCBR Workshops 2023: 146-157 - [c54]Tiago Veiga, Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach:
Container-Based IoT Architectures: Use Case for Visual Person Counting. NAIS 2023 - [c53]Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Christian Renner:
Poster Abstract: Towards Autonomous Utility-Aware Energy Management for Energy Harvesting Devices. SenSys 2023: 534-535 - [c52]Betül Bayrak, Kerstin Bach:
PertCF: A Perturbation-Based Counterfactual Generation Approach. SGAI Conf. 2023: 174-187 - [d2]Aleksej Logacjov, Atle Kongsvold, Kerstin Bach, Hilde Bremseth Bårdstu, Paul Jarle Mork:
HARTH. UCI Machine Learning Repository, 2023
- 2022
- [j19]Deepika Verma, Duncan Jansen, Kerstin Bach, Mannes Poel, Paul Jarle Mork, Wendy Oude Nijeweme d'Hollosy:
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. BMC Medical Informatics Decis. Mak. 22(1): 227 (2022) - [c51]Paola Marín-Veites, Kerstin Bach:
Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study. ICCBR 2022: 111-124 - [c50]Betül Bayrak, Paola Marín-Veites, Kerstin Bach:
Explaining your Neighbourhood: A CBR Approach for Explaining Black-Box Models. ICCBR Workshops 2022: 251-255 - [c49]Eirik Lund Flogard, Ole Jakob Mengshoel, Kerstin Bach:
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. IJCAI 2022: 5108-5114 - [c48]Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Christian Renner, Tiago Santos Veiga:
Learning attention models for resource-constrained, self-adaptive visual sensing applications. RACS 2022: 165-171 - 2021
- [j18]Bjørn Magnus Mathisen, Kerstin Bach, Agnar Aamodt:
Using extended siamese networks to provide decision support in aquaculture operations. Appl. Intell. 51(11): 8107-8118 (2021) - [j17]Deepika Verma, Kerstin Bach, Paul Jarle Mork:
Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. Informatics 8(3): 56 (2021) - [j16]Tiago Veiga, Arne Munch-Ellingsen, Christoforos Papastergiopoulos, Dimitrios Tzovaras, Ilias Kalamaras, Kerstin Bach, Konstantinos Votis, Sigmund Akselsen:
From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development. Sensors 21(9): 3190 (2021) - [j15]Aleksej Logacjov, Kerstin Bach, Atle Kongsvold, Hilde Bremseth Bårdstu, Paul Jarle Mork:
HARTH: A Human Activity Recognition Dataset for Machine Learning. Sensors 21(23): 7853 (2021) - [j14]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors 21(23): 8009 (2021) - [j13]Elise Klæbo Vonstad, Beatrix Vereijken, Kerstin Bach, Xiaomeng Su, Jan Harald Nilsen:
Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame. IEEE Trans. Hum. Mach. Syst. 51(3): 242-252 (2021) - [c47]Tiago Veiga, Erling Ljunggren, Kerstin Bach, Sigmund Akselsen:
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. COINS 2021: 1-6 - [c46]Eirik Flogard, Ole Jakob Mengshoel, Kerstin Bach:
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. ICCBR 2021: 94-109 - [c45]Deepika Verma, Kerstin Bach, Paul Jarle Mork:
Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements. SGAI Conf. 2021: 282-295 - [d1]Eirik Flogard, Ole Jakob Mengshoel, Kerstin Bach:
Labour Inspection Checklist Content. IEEE DataPort, 2021 - [i9]Kerstin Bach, Paul Jarle Mork:
On the Explanation of Similarity for Developing and Deploying CBR Systems. CoRR abs/2106.04662 (2021) - [i8]Tiago Veiga, Erling Ljunggren, Kerstin Bach, Sigmund Akselsen:
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. CoRR abs/2111.09417 (2021) - [i7]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. CoRR abs/2112.02622 (2021) - 2020
- [j12]Klaus-Dieter Althoff, Kerstin Bach, Ralph Bergmann, Cindy Marling:
The 27th International Conference on Case-Based Reasoning. AI Mag. 41(1): 101-102 (2020) - [j11]Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, Helge Langseth:
Learning similarity measures from data. Prog. Artif. Intell. 9(2): 129-143 (2020) - [j10]Elise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Kerstin Bach, Jan Harald Nilsen:
Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training. Sensors 20(23): 6940 (2020) - [c44]Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom:
FishNet: A Unified Embedding for Salmon Recognition. ECAI 2020: 3001-3008 - [c43]Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper, Kerstin Bach:
Learning to Recognise Exercises in the Self-Management of Low Back Pain. FLAIRS 2020: 347-352 - [c42]Kerstin Bach, Paul Jarle Mork:
On the Explanation of Similarity for Developing and Deploying CBR Systems. FLAIRS 2020: 413-416 - [c41]Deepika Verma, Kerstin Bach, Paul Jarle Mork:
Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures. ICAART (2) 2020: 660-667 - [c40]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Information-driven adaptive sensing based on deep reinforcement learning. IOT 2020: 2:1-2:8 - [c39]Kerstin Bach, Sigmund Akselsen, Tiago Veiga, Ilias Kalamaras:
On the Use of Air Quality Microsensors for Supporting Decision Makers. IOT Companion 2020: 15:1-15:4 - [p2]Ralph Bergmann, Mirjam Minor, Kerstin Bach, Klaus-Dieter Althoff, Héctor Muñoz-Avila:
Fallbasiertes Schließen. Handbuch der Künstlichen Intelligenz 2020: 343-394 - [e5]Kerstin Bach, Razvan C. Bunescu, Cindy Marling, Nirmalie Wiratunga:
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, KDH@ECAI 2020, Santiago de Compostela, Spain & Virtually, August 29-30, 2020. CEUR Workshop Proceedings 2675, CEUR-WS.org 2020 [contents] - [i6]Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, Helge Langseth:
Learning similarity measures from data. CoRR abs/2001.05312 (2020) - [i5]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. CoRR abs/2010.04112 (2020) - [i4]Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom:
FishNet: A Unified Embedding for Salmon Recognition. CoRR abs/2010.10475 (2020)
2010 – 2019
- 2019
- [j9]Kerstin Bach, Cindy Marling, Paul Jarle Mork, Agnar Aamodt, Frances S. Mair, Barbara I. Nicholl:
Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. J. Intell. Inf. Syst. 52(2): 269-284 (2019) - [c38]Amar Jaiswal, Kerstin Bach, Ingebrigt Meisingset, Ottar Vasseljen:
Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - a Case-Based Reasoning Approach. FLAIRS 2019: 359-363 - [c37]Amar Jaiswal, Kerstin Bach:
A Data-Driven Approach for Determining Weights in Global Similarity Functions. ICCBR 2019: 125-139 - [c36]Kerstin Bach:
Workshop preface. ICCBR Workshops 2019: 143 - [c35]Kerstin Bach, Bjørn Magnus Mathisen, Amar Jaiswal:
Demonstrating the myCBR Rest API. ICCBR Workshops 2019: 144-155 - [c34]Abdulmajid Murad, Kerstin Bach, Frank Alexander Kraemer, Gavin Taylor:
IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. IOT 2019: 37:1-37:4 - [c33]Ilias Kalamaras, Ioannis Xygonakis, Konstantinos Glykos, Sigmund Akselsen, Arne Munch-Ellingsen, Hai Thanh Nguyen, Andreas Jacobsen Lepperod, Kerstin Bach, Konstantinos Votis, Dimitrios Tzovaras:
Visual analytics for exploring air quality data in an AI-enhanced IoT environment. MEDES 2019: 103-110 - [c32]Deepika Verma, Kerstin Bach, Paul Jarle Mork:
Similarity Measure Development for Case-Based Reasoning-A Data-Driven Approach. NAIS 2019: 143-148 - [c31]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. SASO 2019: 43-51 - [e4]Kerstin Bach, Cindy Marling:
Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8-12, 2019, Proceedings. Lecture Notes in Computer Science 11680, Springer 2019, ISBN 978-3-030-29248-5 [contents] - [e3]Kerstin Bach, Massimiliano Ruocco:
Nordic Artificial Intelligence Research and Development - Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27-28, 2019, Proceedings. Communications in Computer and Information Science 1056, Springer 2019, ISBN 978-3-030-35663-7 [contents] - [i3]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. CoRR abs/1905.04181 (2019) - [i2]Deepika Verma, Kerstin Bach, Paul Jarle Mork:
Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach. CoRR abs/1905.08581 (2019) - 2018
- [j8]David W. Aha, Kerstin Bach, Odd Erik Gundersen, Jean Lieber:
The 25th International Conference on Case-Based Reasoning. AI Mag. 39(2): 79-80 (2018) - [c30]Kerstin Bach:
From Data to Context Aware Decision Making Challenges and Opportunities. AfCAI 2018 - [c29]Hoda Nikpour, Agnar Aamodt, Kerstin Bach:
Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System. ICCBR 2018: 323-338 - [c28]Deepika Verma, Kerstin Bach, Paul Jarle Mork:
Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach. ICCBR 2018: 415-430 - [c27]Elise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Jan Harald Nilsen, Kerstin Bach:
Cassification of Movement Quality in A Weight-shifting Exercise. KDH@IJCAI 2018: 27-32 - [p1]Kerstin Bach:
Knowledge Engineering for Distributed Case-Based Reasoning Systems. Synergies Between Knowledge Engineering and Software Engineering 2018: 129-147 - [e2]Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu:
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Schweden, July 13, 2018. CEUR Workshop Proceedings 2148, CEUR-WS.org 2018 [contents] - 2017
- [c26]Tale Prestmo, Kerstin Bach, Agnar Aamodt, Paul Jarle Mork:
Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety. ICCBR 2017: 272-286 - [c25]Kari Skjold, Marthe Øynes, Kerstin Bach, Agnar Aamodt:
IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. ICCBR (Workshops) 2017: 277-284 - [e1]Zina M. Ibrahim, Honghan Wu, Kerstin Bach, Richard J. B. Dobson, Spiros C. Denaxas, Nirmalie Wiratunga, Stewart Massie, Sadiq Sani:
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. CEUR Workshop Proceedings 1891, CEUR-WS.org 2017 [contents] - 2016
- [c24]Gleb Sizov, Pinar Öztürk, Kerstin Bach:
Evaluation of Explanations Extracted from Textual Reports. FLAIRS 2016: 425-429 - [c23]Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork:
Case Representation and Similarity Assessment in the selfBACK Decision Support System. ICCBR 2016: 32-46 - [c22]Tomasz Szczepanski, Kerstin Bach, Agnar Aamodt:
Challenges for the Similarity-Based Comparison of Human Physical Activities Using Time Series Data. ICCBR Workshops 2016: 173-177 - [c21]Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork:
Case Representation and Similarity Assessment in the selfBACK Decision Support System. LWDA 2016: 153-154 - [i1]Kerstin Bach, Paul Jarle Mork, Agnar Aamodt:
Can Data-driven Self-Management Reduce Low Back Pain? ERCIM News 2016(104) (2016) - 2014
- [c20]Kerstin Bach, Christian Severin Sauer, Klaus-Dieter Althoff, Thomas Roth-Berghofer:
Knowledge Modeling with the Open Source Tool myCBR. KESE@ECAI 2014 - [c19]Kerstin Bach, Odd Erik Gundersen, Christian Knappskog, Pinar Öztürk:
Automatic Case Capturing for Problematic Drilling Situations. ICCBR 2014: 48-62 - 2013
- [b1]Kerstin Bach:
Knowledge Acquisition for Case-Based Reasoning Systems. Heidelberg University, Verlag Dr. Hut 2013 - 2012
- [j7]Kerstin Bach, Daniel Schäfer, Neela Enke, Bernhard Seeger, Birgit Gemeinholzer, Jörg Bendix:
A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research. Ecol. Informatics 11: 16-24 (2012) - [j6]Neela Enke, Anne E. Thessen, Kerstin Bach, Jörg Bendix, Bernhard Seeger, Birgit Gemeinholzer:
The user's view on biodiversity data sharing - Investigating facts of acceptance and requirements to realize a sustainable use of research data -. Ecol. Informatics 11: 25-33 (2012) - [c18]Kerstin Bach, Klaus-Dieter Althoff:
Developing Case-Based Reasoning Applications Using myCBR 3. ICCBR 2012: 17-31 - 2011
- [j5]Meike Reichle, Kerstin Bach, Klaus-Dieter Althoff:
Knowledge engineering within the application-independent architecture SEASALT. Int. J. Knowl. Eng. Data Min. 1(3): 202-215 (2011) - [c17]Kerstin Bach, Klaus-Dieter Althoff, Régis Newo, Armin Stahl:
A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports. ICCBR 2011: 363-377 - [c16]Thomas Roth-Berghofer, Christian Severin Sauer, Klaus-Dieter Althoff, Kerstin Bach, Régis Newo:
SEASALTexp- An Explanation-aware Architecture for Extracting and Case-Based Processing of Experiences from Internet Communities. LWA 2011: 274-277 - [c15]Kerstin Bach, Thomas Roth-Berghofer:
GWEM 2011 - German Workshop on Experience Management. Wissensmanagement 2011: 191-193 - [c14]Kerstin Bach, Pascal Reuss, Klaus-Dieter Althoff:
Case-Based Menu Creation as an Example of Individualized Experience Management. Wissensmanagement 2011: 194-203 - 2010
- [c13]Régis Newo, Kerstin Bach, Klaus-Dieter Althoff:
Knowledge Acquisition for Simulating Complex Psychological Processes. KESE 2010 - [c12]Christian Severin Sauer, Kerstin Bach, Klaus-Dieter Althoff:
Integration of Linked Open Data in Case-Based Reasoning Systems. LWA 2010: 269-273
2000 – 2009
- 2009
- [j4]Ralph Bergmann, Klaus-Dieter Althoff, Mirjam Minor, Meike Reichle, Kerstin Bach:
Case-Based Reasoning. Künstliche Intell. 23(1): 5-11 (2009) - [j3]Alexandre Hanft, Norman Ihle, Kerstin Bach, Régis Newo:
CookIIS - Competing in the First Computer Cooking Contest. Künstliche Intell. 23(1): 30-33 (2009) - [j2]Klaus-Dieter Althoff, Kerstin Bach:
Interview with Pádraig Cunningham and Barry Smyth. Künstliche Intell. 23(1): 38-41 (2009) - [j1]Kerstin Bach, Meike Reichle:
MATES 2008. Künstliche Intell. 23(1): 65 (2009) - [c11]Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff:
A Value Supplementation Method for Case Bases with Incomplete Information. ICCBR 2009: 389-402 - [c10]Meike Reichle, Kerstin Bach, Klaus-Dieter Althoff:
The SEASALT Architecture and Its Realization within the docQuery Project. KI 2009: 556-563 - [c9]Meike Reichle, Kerstin Bach, Alexander Reichle-Schmehl, Klaus-Dieter Althoff:
Management of Distributed Knowledge Sources for Complex Application Domains. LWA 2009: FGWM:38 - [c8]Meike Reichle, Kerstin Bach, Alexander Reichle-Schmehl, Klaus-Dieter Althoff:
Management of Distributed Knowledge Sources for Complex Application Domains. Wissensmanagement 2009: 128-138 - 2008
- [c7]Eyke Hüllermeier, Michael M. Richter, Rosina Weber, Kerstin Bach, Miltos Petridis:
Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR. ECCBR Workshops 2008: 117-118 - [c6]Alexandre Hanft, Norman Ihle, Kerstin Bach, Régis Newo, Jens Mänz:
Realising a CBR-based approach for Computer Cooking Contest with e: IAS. ECCBR Workshops 2008: 249-258 - [c5]Klaus-Dieter Althoff, Kerstin Bach, Meike Reichle:
Realizing Modularized Knowledge Models for Heterogeneous Application Domains. ICDM 2008: 114-128 - [c4]Meike Reichle, Kerstin Bach:
Improving Result Adaptation through 2-step Retrieval. KESE 2008 - 2007
- [c3]Klaus-Dieter Althoff, Kerstin Bach, Jan-Oliver Deutsch, Alexandre Hanft, Jens Mänz, Thomas Müller, Régis Newo, Meike Reichle, Martin Schaaf, Karl-Heinz Weis:
Collaborative Multi-Expert-Systems - Realizing Knowledge-Lines with Case Factories and Distributed Learning Systems. KESE 2007 - [c2]Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff:
A Domain Independent System Architecture for Sharing Experience. LWA 2007: 296-303 - [c1]Kerstin Bach, Alexandre Hanft:
TCR - Textual Coverage Rate. LWA 2007: 312-317
Coauthor Index
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