Volume 111, Number 2, February 2022
Multiway p-spectral graph cuts on Grassmann manifolds.

Dimosthenis Pasadakis Christie Louis Alappat Olaf Schenk Gerhard Wellein

Model selection in reconciling hierarchical time series.

Mahdi Abolghasemi Rob J. Hyndman Evangelos Spiliotis Christoph Bergmeir

A flexible class of dependence-aware multi-label loss functions.

Eyke Hüllermeier Marcel Wever Eneldo Loza Mencía Johannes Fürnkranz Michael Rapp

Achieving adversarial robustness via sparsity.

Ningyi Liao Shufan Wang Liyao Xiang Nanyang Ye Shuo Shao Pengzhi Chu

Multi-target prediction for dummies using two-branch neural networks.

Dimitrios Iliadis Bernard De Baets Willem Waegeman

Symbolic DNN-Tuner.

Michele Fraccaroli Evelina Lamma Fabrizio Riguzzi

Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment.

Tirtharaj Dash Ashwin Srinivasan A. Baskar

Generalized vec trick for fast learning of pairwise kernel models.

Markus Viljanen Antti Airola Tapio Pahikkala

ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks.

Yulong Pei Tianjin Huang Werner van Ipenburg Mykola Pechenizkiy

Non-technical losses detection in energy consumption focusing on energy recovery and explainability.

Bernat Coma-Puig Josep Carmona

Reinforcement learning for robotic manipulation using simulated locomotion demonstrations.

Ozsel Kilinc Giovanni Montana

A review on instance ranking problems in statistical learning.

Tino Werner


Volume 111, Number 1, January 2022
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.

Zahra Atashgahi Ghada Sokar Tim van der Lee Elena Mocanu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy

Understanding generalization error of SGD in nonconvex optimization.

Yi Zhou Yingbin Liang Huishuai Zhang

Smoothing graphons for modelling exchangeable relational data.

Yaqiong Li Xuhui Fan Ling Chen Bin Li Scott A. Sisson

ReliefE: feature ranking in high-dimensional spaces via manifold embeddings.

Blaz Skrlj Saso Dzeroski Nada Lavrac Matej Petkovic

Boosting Poisson regression models with telematics car driving data.

Guangyuan Gao He Wang Mario V. Wüthrich

InfoGram and admissible machine learning.

Subhadeep Mukhopadhyay

SAMBA: safe model-based & active reinforcement learning.

Alexander Imani Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Amin Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar

Inductive logic programming at 30.

Andrew Cropper Sebastijan Dumancic Richard Evans Stephen H. Muggleton

Learning from interpretation transition using differentiable logic programming semantics.

Kun Gao Hanpin Wang Yongzhi Cao Katsumi Inoue

How to measure uncertainty in uncertainty sampling for active learning.

Vu-Linh Nguyen Mohammad Hossein Shaker Eyke Hüllermeier

Embed2Detect: temporally clustered embedded words for event detection in social media.

Hansi Hettiarachchi Mariam Adedoyin-Olowe Jagdev Bhogal Mohamed Medhat Gaber

Stronger data poisoning attacks break data sanitization defenses.

Pang Wei Koh Jacob Steinhardt Percy Liang