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Publication search results
found 53 matches
- 2020
- Tobias Friedrich, Martin S. Krejca, J. A. Gregor Lagodzinski, Manuel Rizzo, Arthur Zahn:
Memetic Genetic Algorithms for Time Series Compression by Piecewise Linear Approximation. ICONIP (3) 2020: 592-604 - Nida Itrat Abbasi, Sony Saint-Auret, Junji Hamano, Anumita Chaudhury, Anastasios Bezerianos, Nitish V. Thakor, Andrei Dragomir:
Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced Stimuli. ICONIP (3) 2020: 79-89 - Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength. ICONIP (3) 2020: 38-48 - Madeline Brewer, Jessica Sharmin Rahman:
Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion Recognition. ICONIP (3) 2020: 343-352 - Tianyi Chen, Canghong Jin, Tengran Dong, Dongkai Chen:
A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features. ICONIP (3) 2020: 532-543 - Wenxiao Chen, Wenda Liu, Zhenting Cai, Haowen Xu, Dan Pei:
VAEPP: Variational Autoencoder with a Pull-Back Prior. ICONIP (3) 2020: 366-379 - Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal:
Oblique Random Forests on Residual Network Features. ICONIP (3) 2020: 306-317 - Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman:
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting. ICONIP (3) 2020: 579-591 - Veena Dodballapur, Rajanish Calisa, Yang Song, Weidong Cai:
Automatic Dropout for Deep Neural Networks. ICONIP (3) 2020: 185-196 - Grzegorz Dudek, Pawel Pelka, Slawek Smyl:
3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting. ICONIP (3) 2020: 519-531 - Xudong Guo:
Prediction of Taxi Demand Based on CNN-BiLSTM-Attention Neural Network. ICONIP (3) 2020: 331-342 - Hongfang Han, Xingliang Xiong, Jianfeng Yan, Haixian Wang, Mengting Wei:
The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction Methods. ICONIP (3) 2020: 122-134 - Sorin Liviu Jurj, Flavius Opritoiu, Mircea Vladutiu:
Environmentally-Friendly Metrics for Evaluating the Performance of Deep Learning Models and Systems. ICONIP (3) 2020: 232-244 - Matloob Khushi, Usman Naseem, Jonathan Du, Anis Khan, Simon K. Poon:
Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer. ICONIP (3) 2020: 15-25 - Yuki Kokai, Isao Nambu, Yasuhiro Wada:
Identifying Motor Imagery-Related Electroencephalogram Features During Motor Execution. ICONIP (3) 2020: 90-97 - Yang Lin, Irena Koprinska, Mashud Rana:
SpringNet: Transformer and Spring DTW for Time Series Forecasting. ICONIP (3) 2020: 616-628 - Yang Liu, Zhenyue Qin, Saeed Anwar, Sabrina B. Caldwell, Tom Gedeon:
Are Deep Neural Architectures Losing Information? Invertibility is Indispensable. ICONIP (3) 2020: 172-184 - Wenhao Lu, Chi-Sing Leung, John Sum:
Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function. ICONIP (3) 2020: 162-171 - Lang Luo, Yufei Chen, Xianhui Liu, Qiujun Deng:
Feature Aware and Bilinear Feature Equal Interaction Network for Click-Through Rate Prediction. ICONIP (3) 2020: 432-443 - Philip Mehrgardt, Matloob Khushi, Anusha I. Withana, Simon K. Poon:
Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography. ICONIP (3) 2020: 49-62 - Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
P2ExNet: Patch-Based Prototype Explanation Network. ICONIP (3) 2020: 318-330 - Usman Naseem, Matloob Khushi, Shah Khalid Khan, Nazar Waheed, Adnan Mir, Atika Qazi, Bandar Alshammari, Simon K. Poon:
Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss. ICONIP (3) 2020: 26-37 - Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming:
Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. ICONIP (3) 2020: 407-419 - Oyebade K. Oyedotun, Djamila Aouada:
Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work? ICONIP (3) 2020: 380-392 - Adhish Panta, Matloob Khushi, Usman Naseem, Paul J. Kennedy, Daniel R. Catchpoole:
Classification of Neuroblastoma Histopathological Images Using Machine Learning. ICONIP (3) 2020: 3-14 - Loïc Pauletto, Massih-Reza Amini, Rohit Babbar, Nicolas Winckler:
Neural Architecture Search for Extreme Multi-label Text Classification. ICONIP (3) 2020: 282-293 - Keqin Peng, Wenge Rong, Chen Li, Jiahao Hu, Zhang Xiong:
Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction. ICONIP (3) 2020: 63-75 - Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski:
Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. ICONIP (3) 2020: 220-231 - Abdul Qayyum, Imran Razzak, Wajid Mumtaz:
Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals. ICONIP (3) 2020: 245-257 - Shajia Shan, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li:
DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction. ICONIP (3) 2020: 568-578
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