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Publication search results
found 44 matches
- 2020
- Ulf Brefeld, Élisa Fromont
, Andreas Hotho
, Arno J. Knobbe
, Marloes H. Maathuis
, Céline Robardet
:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11907, Springer 2020, ISBN 978-3-030-46146-1 [contents] - 2019
- Marco Frasca
, Giuliano Grossi
, Giorgio Valentini
:
Multitask Hopfield Networks. ECML/PKDD (2) 2019: 349-365 - Ahmed AbdelWahab, Niels Landwehr:
Quantile Layers: Statistical Aggregation in Deep Neural Networks for Eye Movement Biometrics. ECML/PKDD (2) 2019: 332-348 - Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization. ECML/PKDD (2) 2019: 315-331 - Mari-Liis Allikivi
, Meelis Kull
:
Non-parametric Bayesian Isotonic Calibration: Fighting Over-Confidence in Binary Classification. ECML/PKDD (2) 2019: 103-120 - Jessa Bekker
, Pieter Robberechts
, Jesse Davis
:
Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data. ECML/PKDD (2) 2019: 71-85 - Léonard Blier, Pierre Wolinski, Yann Ollivier:
Learning with Random Learning Rates. ECML/PKDD (2) 2019: 449-464 - Kenneth Blomqvist, Samuel Kaski, Markus Heinonen:
Deep Convolutional Gaussian Processes. ECML/PKDD (2) 2019: 582-597 - Kai Chen, Twan van Laarhoven, Jinsong Chen, Elena Marchiori:
Incorporating Dependencies in Spectral Kernels for Gaussian Processes. ECML/PKDD (2) 2019: 565-581 - Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance Weighted Generative Networks. ECML/PKDD (2) 2019: 249-265 - Shobeir Fakhraei, Joel Mathew, José Luis Ambite:
NSEEN: Neural Semantic Embedding for Entity Normalization. ECML/PKDD (2) 2019: 665-680 - Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal:
Fine-Grained Explanations Using Markov Logic. ECML/PKDD (2) 2019: 614-629 - Cornelia Ferner
, Stefan Wegenkittl
:
A Semi-discriminative Approach for Sub-sentence Level Topic Classification on a Small Dataset. ECML/PKDD (2) 2019: 697-710 - Maarten Grootendorst, Joaquin Vanschoren
:
Beyond Bag-of-Concepts: Vectors of Locally Aggregated Concepts. ECML/PKDD (2) 2019: 681-696 - Theodore James Thibault Heiser
, Mari-Liis Allikivi
, Meelis Kull
:
Shift Happens: Adjusting Classifiers. ECML/PKDD (2) 2019: 55-70 - Mike Izbicki, Evangelos E. Papalexakis, Vassilis J. Tsotras
:
Exploiting the Earth's Spherical Geometry to Geolocate Images. ECML/PKDD (2) 2019: 3-19 - Mike Izbicki, Christian R. Shelton:
Distributed Learning of Non-convex Linear Models with One Round of Communication. ECML/PKDD (2) 2019: 197-212 - Lena A. Jäger
, Silvia Makowski, Paul Prasse
, Sascha Liehr, Maximilian Seidler, Tobias Scheffer:
Deep Eyedentification: Biometric Identification Using Micro-movements of the Eye. ECML/PKDD (2) 2019: 299-314 - Markus Kaiser, Clemens Otte, Thomas A. Runkler
, Carl Henrik Ek:
Data Association with Gaussian Processes. ECML/PKDD (2) 2019: 548-564 - Matthias Kissel, Klaus Diepold:
Sobolev Training with Approximated Derivatives for Black-Box Function Regression with Neural Networks. ECML/PKDD (2) 2019: 399-414 - Takuro Kutsuna
:
Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks. ECML/PKDD (2) 2019: 266-282 - Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi:
Neural Message Passing for Multi-label Classification. ECML/PKDD (2) 2019: 138-163 - Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala
, Xavier Renard, Marcin Detyniecki:
Unjustified Classification Regions and Counterfactual Explanations in Machine Learning. ECML/PKDD (2) 2019: 37-54 - Taesung Lee, Youngja Park:
Unsupervised Sentence Embedding Using Document Structure-Based Context. ECML/PKDD (2) 2019: 633-647 - Yang Li
, Shihao Ji
:
L0-ARM: Network Sparsification via Stochastic Binary Optimization. ECML/PKDD (2) 2019: 432-448 - Bin Liu, Grigorios Tsoumakas:
Synthetic Oversampling of Multi-label Data Based on Local Label Distribution. ECML/PKDD (2) 2019: 180-193 - Giuseppe Marra
, Francesco Giannini
, Michelangelo Diligenti, Marco Gori:
LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning. ECML/PKDD (2) 2019: 283-298 - Giuseppe Marra
, Francesco Giannini
, Michelangelo Diligenti, Marco Gori:
Integrating Learning and Reasoning with Deep Logic Models. ECML/PKDD (2) 2019: 517-532 - Hung T. Nguyen, Xuejian Wang, Leman Akoglu:
Continual Rare-Class Recognition with Emerging Novel Subclasses. ECML/PKDD (2) 2019: 20-36 - Laurence A. F. Park, Yi Guo, Jesse Read:
Assessing the Multi-labelness of Multi-label Data. ECML/PKDD (2) 2019: 164-179
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