International Conference on Artificial Neural Networks

ICANN

CORE rank

CORE rank (raw)

Fields of research

Machine Learning

Papers indexed

5,047

1996–2025

Best Machine Learning conferences

Papers per year

1996458 peak2025

Most published authors

ICANN papers

5,047 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2020	Physiologically-Inspired Neural Circuits for the Recognition of Dynamic Faces.	Michael Stettler, Nick Taubert, Tahereh Azizpour, Ramona Siebert, Silvia Spadacenta, Peter W. Dicke, Peter Thier, Martin A. Giese
2020	Adaptive, Neural Robot Control - Path Planning on 3D Spiking Neural Networks.	Lea Steffen, Artur Liebert, Stefan Ulbrich, Arne Roennau, Rdiger Dillmann
2020	Embedding Compression with Right Triangle Similarity Transformations.	Haohao Song, Dongsheng Zou, Lei Hu, Jieying Yuan
2020	Structural Position Network for Aspect-Based Sentiment Classification.	Pu Song, Wei Jiang, Fuqing Zhu, Yan Zhou, Jizhong Han, Songlin Hu
2020	Boosting Tricks for Word Mover's Distance.	Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis
2020	Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography.	Ilyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov
2020	Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks.	Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly
2020	Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise.	Alex Serban, Erik Poll, Joost Visser
2020	Policy Entropy for Out-of-Distribution Classification.	Andreas Sedlmeier, Robert Mller, Steffen Illium, Claudia Linnhoff-Popien
2020	On Multi-modal Fusion for Freehand Gesture Recognition.	Monika Schak, Alexander Gepperth
2020	Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation.	Anindya Sarkar, Raghu Sesha Iyengar
2020	Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data.	Alessandro Salatiello, Martin A. Giese
2020	Time Series Clustering with Deep Reservoir Computing.	Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli
2020	Convex Graph Laplacian Multi-Task Learning SVM.	Carlos Ruiz, Carlos M. Alaz, Jos R. Dorronsoro
2020	Tucker Tensor Decomposition of Multi-session EEG Data.	Zuzana Rostkov, Roman Rosipal, Saman Seifpour
2020	Curious Hierarchical Actor-Critic Reinforcement Learning.	Frank Rder, Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter
2020	Pareto Multi-task Deep Learning.	Salvatore Danilo Riccio, Deyan Dyankov, Giorgio Jansen, Giuseppe Di Fatta, Giuseppe Nicosia
2020	Face Anti-spoofing with a Noise-Attention Network Using Color-Channel Difference Images.	Yuanyuan Ren, Yongjian Hu, Beibei Liu, Yixiang Xie, Yufei Wang
2020	Guided Reinforcement Learning via Sequence Learning.	Rajkumar Ramamurthy, Rafet Sifa, Max Lbbering, Christian Bauckhage
2020	Unsupervised Anomaly Detection with a GAN Augmented Autoencoder.	Laya Rafiee, Thomas Fevens
2020	Synthesis of Registered Multimodal Medical Images with Lesions.	Yili Qu, Wanqi Su, Xuan Lv, Chufu Deng, Ying Wang, Yutong Lu, Zhiguang Chen, Nong Xiao
2020	CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies.	Tangwen Qian, Fei Wang, Yongjun Xu, Yu Jiang, Tao Sun, Yong Yu
2020	Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems.	Riccardo Perego, Antonio Candelieri, Francesco Archetti, Danilo Pau
2020	Regularized Pooling.	Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida
2020	Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware.	Christoph Ostrau, Jonas Dominik Homburg, Christian Klarhorst, Michael Thies, Ulrich Rckert

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