Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space (English)
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- New search for: Izbicki, Rafael
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- New search for: de Carvalho, Andre C. P. L. F.
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In:
Machine Learning and Knowledge Discovery in Databases
: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
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Chapter: 21
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241-252
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2020
- Article/Chapter (Book) / Electronic Resource
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Title:Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space
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Additional title:Communic.Comp.Inf.Science
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Contributors:Cellier, Peggy ( editor ) / Driessens, Kurt ( editor ) / Botari, Tiago ( author ) / Izbicki, Rafael ( author ) / de Carvalho, Andre C. P. L. F. ( author )
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Conference:Joint European Conference on Machine Learning and Knowledge Discovery in Databases ; 2019 ; Würzburg, Germany
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Published in:Machine Learning and Knowledge Discovery in Databases : International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I ; Chapter: 21 ; 241-252Communications in Computer and Information Science ; 1167 ; 241-252
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2020-03-28
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Size:12 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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The ABC of Data: A Classifying Framework for Data ReadinessCastelijns, Laurens A. / Maas, Yuri / Vanschoren, Joaquin et al. | 2020
- 2
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Automating Common Data Science Matrix TransformationsContreras-Ochando, Lidia / Ferri, Cèsar / Hernández-Orallo, José et al. | 2020
- 3
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DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting DatasetsVölcker, Claas / Molina, Alejandro / Neumann, Johannes / Westermann, Dirk / Kersting, Kristian et al. | 2020
- 4
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HyperUCB: Hyperparameter Optimization Using Contextual BanditsTavakol, Maryam / Mair, Sebastian / Morik, Katharina et al. | 2020
- 5
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Learning Parsers for Technical DrawingsVan Daele, Dries / Decleyre, Nicholas / Dubois, Herman / Meert, Wannes et al. | 2020
- 6
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Meta-learning of Textual RepresentationsMadrid, Jorge G. / Escalante, Hugo Jair / Morales, Eduardo et al. | 2020
- 7
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ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement LearningSun, Xudong / Lin, Jiali / Bischl, Bernd et al. | 2020
- 8
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Supervised Human-Guided Data ExplorationOikarinen, Emilia / Puolamäki, Kai / Khoshrou, Samaneh / Pechenizkiy, Mykola et al. | 2020
- 9
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SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract)Dauxais, Yann / Gautrais, Clément / Dries, Anton / Jain, Arcchit / Kolb, Samuel / Kumar, Mohit / Teso, Stefano / Van Wolputte, Elia / Verbruggen, Gust / De Raedt, Luc et al. | 2020
- 10
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The autofeat Python Library for Automated Feature Engineering and SelectionHorn, Franziska / Pack, Robert / Rieger, Michael et al. | 2020
- 11
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The Extended Dawid-Skene ModelCamilleri, Michael P. J. / Williams, Christopher K. I. et al. | 2020
- 12
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Towards Automated Configuration of Stream Clustering AlgorithmsCarnein, Matthias / Trautmann, Heike / Bifet, Albert / Pfahringer, Bernhard et al. | 2020
- 13
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Effect of Superpixel Aggregation on Explanations in LIME – A Case Study with Biological DataSchallner, Ludwig / Rabold, Johannes / Scholz, Oliver / Schmid, Ute et al. | 2020
- 14
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Global Explanations with Local ScoringSetzu, Mattia / Guidotti, Riccardo / Monreale, Anna / Turini, Franco et al. | 2020
- 15
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Adversarial Robustness CurvesGöpfert, Christina / Göpfert, Jan Philip / Hammer, Barbara et al. | 2020
- 16
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Enriching Visual with Verbal Explanations for Relational Concepts – Combining LIME with AlephRabold, Johannes / Deininger, Hannah / Siebers, Michael / Schmid, Ute et al. | 2020
- 17
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Quantifying Model Complexity via Functional Decomposition for Better Post-hoc InterpretabilityMolnar, Christoph / Casalicchio, Giuseppe / Bischl, Bernd et al. | 2020
- 18
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Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic InterpretationsScholbeck, Christian A. / Molnar, Christoph / Heumann, Christian / Bischl, Bernd / Casalicchio, Giuseppe et al. | 2020
- 19
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Learning and Interpreting Potentials for Classical Hamiltonian SystemsBhat, Harish S. et al. | 2020
- 20
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Finding Interpretable Concept Spaces in Node Embeddings Using Knowledge BasesIdahl, Maximilian / Khosla, Megha / Anand, Avishek et al. | 2020
- 21
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Local Interpretation Methods to Machine Learning Using the Domain of the Feature SpaceBotari, Tiago / Izbicki, Rafael / de Carvalho, Andre C. P. L. F. et al. | 2020
- 22
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Measuring Unfairness Through Game-Theoretic InterpretabilityCesaro, Juliana / Gagliardi Cozman, Fabio et al. | 2020
- 23
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LioNets: Local Interpretation of Neural Networks Through Penultimate Layer DecodingMollas, Ioannis / Bassiliades, Nikolaos / Tsoumakas, Grigorios et al. | 2020
- 24
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Distributed Generative Modelling with Sub-linear Communication OverheadPiatkowski, Nico et al. | 2020
- 25
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Distributed Learning of Neural Networks with One Round of CommunicationIzbicki, Mike / Shelton, Christian R. et al. | 2020
- 26
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Decentralized Learning with Budgeted Network Load Using Gaussian Copulas and Classifier EnsemblesKlein, John / Albardan, Mahmoud / Guedj, Benjamin / Colot, Olivier et al. | 2020
- 27
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Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated LearningHegedűs, István / Danner, Gábor / Jelasity, Márk et al. | 2020
- 28
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Ring-Star: A Sparse Topology for Faster Model Averaging in Decentralized Parallel SGDJameel, Mohsan / Grabocka, Josif / Arif, Mofassir ul Islam / Schmidt-Thieme, Lars et al. | 2020
- 29
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Hardware Acceleration of Machine Learning Beyond Linear AlgebraMücke, Sascha / Piatkowski, Nico / Morik, Katharina et al. | 2020
- 30
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Detecting Stable Communities in Link Streams at Multiple Temporal ScalesBoudebza, Souâad / Cazabet, Rémy / Nouali, Omar / Azouaou, Faiçal et al. | 2020
- 31
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A Comparative Study of Community Detection Techniques for Large Evolving GraphsCoppens, Lauranne / De Venter, Jonathan / Mitrović, Sandra / De Weerdt, Jochen et al. | 2020
- 32
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Dynamic Joint Variational Graph AutoencodersMahdavi, Sedigheh / Khoshraftar, Shima / An, Aijun et al. | 2020
- 33
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Evolution Analysis of Large Graphs with GradoopRost, Christopher / Thor, Andreas / Fritzsche, Philip / Gomez, Kevin / Rahm, Erhard et al. | 2020
- 34
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MHDNE: Network Embedding Based on Multivariate Hawkes ProcessYin, Ying / Zhang, Jianpeng / Pei, Yulong / Cheng, Xiaotao / Ji, Lixin et al. | 2020
- 35
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Multimodal Deep Networks for Text and Image-Based Document ClassificationAudebert, Nicolas / Herold, Catherine / Slimani, Kuider / Vidal, Cédric et al. | 2020
- 36
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Manifold Mixing for Stacked RegularizationPereira, João / Stroes, Erik S. G. / Groen, Albert K. / Zwinderman, Aeilko H. / Levin, Evgeni et al. | 2020
- 37
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A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical DataPölsterl, Sebastian / Sarasua, Ignacio / Gutiérrez-Becker, Benjamín / Wachinger, Christian et al. | 2020
- 38
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Deep Generative Multi-view LearningKarami, Mahdi et al. | 2020
- 39
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SDE-KG: A Stochastic Dynamic Environment for Knowledge GraphsRanganathan, Varun / Subramanyam, Natarajan et al. | 2020
- 40
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Iterative Representation Learning for Entity Alignment Leveraging Textual InformationZeng, Weixin / Tang, Jiuyang / Zhao, Xiang et al. | 2020
- 41
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#MeTooMaastricht: Building a Chatbot to Assist Survivors of Sexual HarassmentBauer, Tobias / Devrim, Emre / Glazunov, Misha / Jaramillo, William Lopez / Mohan, Balaganesh / Spanakis, Gerasimos et al. | 2020
- 42
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Analysis of Vocational Education and Training and the Labour Market in Catalonia. A Data-Driven ApproachMena, José / Torrent-Moreno, Marc / González, Daniel / Portell, Laura / Pujol, Oriol / Vitrià, Jordi et al. | 2020
- 43
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SOS-EW: System for Overdose Spike Early Warning Using Drug Mover’s Distance-Based Hawkes ProcessesChiang, Wen-Hao / Yuan, Baichuan / Li, Hao / Wang, Bao / Bertozzi, Andrea / Carter, Jeremy / Ray, Brad / Mohler, George et al. | 2020
- 44
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Improving GP-UCB Algorithm by Harnessing Decomposed FeedbackWang, Kai / Wilder, Bryan / Suen, Sze-chuan / Dilkina, Bistra / Tambe, Milind et al. | 2020
- 45
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Optimizing Waste Collection: A Data Mining ApproachLondres, Guilherme / Filipe, Nuno / Gama, João et al. | 2020
- 46
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Mobile Game Theory with Street GangsCooney, Sarah / Gomez, Wendy / Wang, Kai / Leap, Jorja / Brantingham, P. Jeffrey / Tambe, Milind et al. | 2020
- 47
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Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine LearningHoresh, Yair / Haas, Noa / Mishraky, Elhanan / Resheff, Yehezkel S. / Meir Lador, Shir et al. | 2020
- 48
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Transferring Clinical Prediction Models Across Hospitals and Electronic Health Record SystemsCurth, Alicia / Thoral, Patrick / van den Wildenberg, Wilco / Bijlstra, Peter / de Bruin, Daan / Elbers, Paul / Fornasa, Mattia et al. | 2020
- 49
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Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and TwitterSadeghi, Afshin / Lehmann, Jens et al. | 2020
- 50
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Prediction of Frequent Out-Of-Hours’ Medical UseWallace, Duncan / Kechadi, Tahar et al. | 2020
- 51
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Forecast of Study Success in the STEM Disciplines Based Solely on Academic RecordsPensel, Lukas / Kramer, Stefan et al. | 2020
- 52
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Improving Access to Science for Social GoodAli, Mehdi / Vahdati, Sahar / Singh, Shruti / Dasgupta, Sourish / Lehmann, Jens et al. | 2020