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ORCID19th IDA 2021: Porto, Portugal
- Pedro Henriques Abreu
, Pedro Pereira Rodrigues, Alberto Fernández, João Gama:
Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings. Lecture Notes in Computer Science 12695, Springer 2021, ISBN 978-3-030-74250-8
Modeling with Neural Networks
- Biraja Ghoshal, Allan Tucker:
Hyperspherical Weight Uncertainty in Neural Networks. 3-11 - Joana Trindade, João Vinagre, Kelwin Fernandes, Nuno Paiva, Alípio Jorge:
Partially Monotonic Learning for Neural Networks. 12-23 - Matthew Amodio, Smita Krishnaswamy:
Multiple-manifold Generation with an Ensemble GAN and Learned Noise Prior. 24-36 - Amaury Bouchra Pilet, Davide Frey, François Taïani:
Simple, Efficient and Convenient Decentralized Multi-task Learning for Neural Networks. 37-49 - Rania Othman, Rim Faiz, Youcef Abdelsadek, Kamel Chelghoum, Imed Kacem:
Deep Hybrid Neural Networks with Improved Weighted Word Embeddings for Sentiment Analysis. 50-62 - Johannes Schneider, Michalis Vlachos:
Explaining Neural Networks by Decoding Layer Activations. 63-75 - Mohsen Ahmadi Fahandar, Eyke Hüllermeier:
Analogical Embedding for Analogy-Based Learning to Rank. 76-88 - Diego Esteves, José Marcelino, Piyush Chawla, Asja Fischer, Jens Lehmann:
HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data. 89-100
Modeling with Statistical Learning
- Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber:
Incremental Search Space Construction for Machine Learning Pipeline Synthesis. 103-115 - Nicolas M. Müller, Konstantin Böttinger:
Adversarial Vulnerability of Active Transfer Learning. 116-127 - Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Revisiting Non-specific Syndromic Surveillance. 128-140 - Victoria Racher, Christian Borgelt:
Gradient Ascent for Best Response Regression. 141-154 - Ali Anaissi, Basem Suleiman, Mohamad Naji:
Intelligent Structural Damage Detection: A Federated Learning Approach. 155-170 - Vladimir Kuzmanovski, Jaakko Hollmén:
Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models. 171-183 - Thomas T. Kok, Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Georg Krempl:
Active Selection of Classification Features. 184-195 - Luan V. M. da Silva, Ricardo Cerri:
Feature Selection for Hierarchical Multi-label Classification. 196-208 - Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont:
Bandit Algorithm for both Unknown Best Position and Best Item Display on Web Pages. 209-221 - Sven Peeters, Vitalik Melnikov, Eyke Hüllermeier:
Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games. 222-234 - Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt:
avatar - Automated Feature Wrangling for Machine Learning. 235-247
Modeling Language and Graphs
- Andrei-Cristian Rad, Ioan-Horia-Mihai Muntean, Anda-Diana Stoica, Camelia Lemnaru, Rodica Potolea, Mihaela Dînsoreanu:
Semantically Enriching Embeddings of Highly Inflectable Verbs for Improving Intent Detection in a Romanian Home Assistant Scenario. 251-262 - Zhihao Dai, Zhong Li, Lianghao Han:
BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis. 263-274 - Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu:
Linking the Dynamics of User Stance to the Structure of Online Discussions. 275-286 - Mira Ait Saada, François Role, Mohamed Nadif:
Unsupervised Methods for the Study of Transformer Embeddings. 287-300 - Rafi Trad, Myra Spiliopoulou:
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces. 301-312 - Julian Stier, Michael Granitzer:
DeepGG: A Deep Graph Generator. 313-324 - Thibault Prouteau, Victor Connes, Nicolas Dugué, Anthony Perez, Jean-Charles Lamirel, Nathalie Camelin, Sylvain Meignier:
SINr: Fast Computing of Sparse Interpretable Node Representations is not a Sin! 325-337 - Rémi Vaudaine, Baptiste Jeudy, Christine Largeron:
Detection of Contextual Anomalies in Attributed Graphs. 338-349 - Pouya Rezazadeh Kalehbasti, Hayato Ushijima-Mwesigwa, Avradip Mandal, Indradeep Ghosh:
Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware. 350-361
Modeling Special Data Formats
- Petr Krajca, Martin Trnecka:
Reducing Negative Impact of Noise in Boolean Matrix Factorization with Association Rules. 365-375 - Zed Lee, Nicholas Anton, Panagiotis Papapetrou, Tony Lindgren:
Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots. 376-388 - Gust Verbruggen, Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Luc De Raedt:
Muppets: Multipurpose Table Segmentation. 389-401 - Dirko Coetsee, Steve Kroon, McElory Hoffmann, Luc De Raedt:
SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints. 402-413 - Frederique van Leeuwen, Bas Bosma, Arjan van den Born, Eric Postma:
RTL: A Robust Time Series Labeling Algorithm. 414-425 - Tânia Carvalho, Nuno Moniz:
The Compromise of Data Privacy in Predictive Performance. 426-438 - André Brandão, Ricardo Mendes, João P. Vilela:
Efficient Privacy Preserving Distributed K-Means for Non-IID Data. 439-451
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