Journal Track
- Recurring Concept Memory Management in Data Streams: Exploiting Data Stream Concept Evolution to Improve Performance and Transparency
Ben Halstead, Yun Sing Koh, Patricia Jean Riddle and R. Pears
Video
- Online Summarization of Dynamic Graphs using Subjective Interestingness for Sequential Data
Sarang Kapoor, Dhish Kumar Saxena and Matthijs van Leeuwen
Video
- FuseRec: Fusing user and item homophily modeling with temporal recommender systems
Kanika Narang, Yitong Song, Alexander Schwing and Hari Sundaram
Video
- Detecting virtual concept drift of regressors without ground truth values
Emilia Oikarinen, Henri Tiittanen, Andreas Henelius and Kai Puolamäki
Video
- MultiETSC: Automated Machine Learning for Early Time Series Classification
Gilles Ottervanger, Mitra Baratchi and Holger H. Hoos
Video
- Effective Social Post Classifiers on Top of Search Interfaces
Ryan Rivas and Vagelis Hristidis
Video
- Unsupervised domain adaptation with non-stochastic missing data
Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy and Amin Mantrach
Video
- CURIE: A Cellular Automaton for Concept Drift Detection
Jesús López, Javier Del Ser, Eneko Osaba, Albert Bifet and Francisco Herrera
Video
- Selego: Robust Variate Selection for Accurate Time Series Forecasting
Manoj Tiwaskar, Yash Garg, Xinsheng Li, K. Selçuk Candan and Maria Luisa Sapino
Video
- CrashNet: An Encoder-Decoder Architecture to Predict Crash Test Outcomes
Ralf Krestel, Mohamed Karim Belaid and Maximilian Rabus
Video
- Differentially Private Distance Learning in Categorical Data
Elena Battaglia, Simone Celano and Ruggero Gaetano Pensa
Video
- K-Plex Cover Pooling for Graph Neural Networks
Davide Bacciu, Alessio Conte, Roberto Grossi, Francesco Landolfi and Andrea Marino
Video
- Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping
Matthieu Herrmann and Geoffrey I. Webb
Video
- VFC-SMOTE: Very Fast Continuous Synthetic Minority Oversampling for Evolving Data Streams
Alessio Bernardo and Emanuele Della Valle
Video
- Reachable Sets of Classifiers & Regression Models: (Non-)Robustness Analysis and Robust Training
Anna-Kathrin Kopetzki and Stephan Günnemann
Video
- Bayesian Optimization with Approximate Set Kernels
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kima and Seungjin Choi
Video
- MODES: Model-based Optimization on Distributed Embedded Systems
Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jörg Rahnenführer, Haoyi Xiong and Jian-Jia Chen
Video
- Protect Privacy of Deep Classification Networks by Exploiting Their Generative Power
Jiyu Chen, Yiwen Guo, Qianjun Zheng and Hao Chen
Video
- Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning
Riad Akrour, Asma Atamna and Jan Peters
Video
- Toward Optimal Probabilistic Active Learning Using a Bayesian Approach
Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl and Bernhard Sick
Video
- Multiple Clusterings of Heterogeneous Information Networks
Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi and Xiangliang Zhang
Video
- AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow
Haiyan Jiang, Haoyi Xiong, Ji Liu and Dejing Dou
Video
- Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels
Dai Hai Nguyen, Canh Hao Nguyen and Hiroshi Mamitsuka
Video
- DenseLoss: A Cost-sensitive Loss for Regression on Imbalanced Datasets
Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause and Andreas Hotho
- On Testing Transitivity in Online Preference Learning
Björn Haddenhorst, Viktor Bengs and Eyke Hüllermeier
Video
- SPEED: Secure, PrivatE, and Efficient Deep learning
Arnaud Grivet Sébert, Rafaël Pinot, Martin Zuber, Cédric Gouy-Pailler and Renaud Sirdey
Video
- Joint Optimization of an Autoencoder for Clustering and Embedding
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld and Robert Jenssen
Video
- Gaussian Processes with Skewed Laplace Spectral Mixture kernels for long-term forecasting
Kai Chen, Twan van Laarhoven and Elena Marchiori
Video
- Provable Training Set Debugging for Linear Regression
Xiaomin Zhang, Xiaojin Zhu and Stephen J. Wright
Video
- Sampled Gromov Wasserstein
Tanguy Kerdoncuff, Rémi Emonet and Marc Sebban
Video
- Testing Conditional Independence in Supervised Learning Algorithms
David Watson and Marvin N. Wright
Video
- Variational Learning from Implicit Bandit Feedback
Hady W. Lauw and Quoc-Tuan Truong
Video
- Information-Theoretic Regularization for Learning Global
Features by Sequential VAE
Kei Akuzawa, Yusuke Iwasawa and Yutaka Matsuo
Video
- BROCCOLI - Overlapping and Outlier-robust Biclustering through Proximal Stochastic Gradient Descent
Gianvito Pio, Sybille Hess, Michiel E. Hochstenbach and Michelangelo Ceci
Video
- Robust non-Parametric Regression via Incoherent Subspace Projections
Bhaskar Mukhoty, Subhajit Dutta, and Purushottam Kar
Video
- Policy Space Identification in Configurable Environments
Guglielmo Manneschi, Alberto Maria Mettelli and Marcello Restelli
Video
- Efficient Set-Valued Prediction in Multi-Class Classification
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczyński, Eyke Hüllermeier and Willem Waegeman
Video
- AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series
Lin Zhang, Wenyu Zhang, Maxwell J McNeil, Nachuan Chengwang, David S Matteson and Petko Bogdanov
Video
- What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models
Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph and Matt Gillingham
Video
