IDA B

36 papers

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