Abstract is missing.
- Classification of Neuroblastoma Histopathological Images Using Machine LearningAdhish Panta, Matloob Khushi, Usman Naseem, Paul J. Kennedy, Daniel R. Catchpoole. 3-14 [doi]
- Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver CancerMatloob Khushi, Usman Naseem, Jonathan Du, Anis Khan, Simon K. Poon. 15-25 [doi]
- Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal LossUsman Naseem, Matloob Khushi, Shah Khalid Khan, Nazar Waheed, Adnan Mir, Atika Qazi, Bandar Alshammari, Simon K. Poon. 26-37 [doi]
- Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their StrengthMuhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel 0001, Sheraz Ahmed. 38-48 [doi]
- Machine Learned Pulse Transit Time (MLPTT) Measurements from PhotoplethysmographyPhilip Mehrgardt, Matloob Khushi, Anusha Withana, Simon K. Poon. 49-62 [doi]
- Weight Aware Feature Enriched Biomedical Lexical Answer Type PredictionKeqin Peng, Wenge Rong, Chen Li, Jiahao Hu, Zhang Xiong. 63-75 [doi]
- Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced StimuliNida Itrat Abbasi, Sony Saint-Auret, Junji Hamano, Anumita Chaudhury, Anastasios Bezerianos, Nitish V. Thakor, Andrei Dragomir. 79-89 [doi]
- Identifying Motor Imagery-Related Electroencephalogram Features During Motor ExecutionYuki Kokai, Isao Nambu, Yasuhiro Wada. 90-97 [doi]
- Inter and Intra Individual Variations of Cortical Functional Boundaries Depending on Brain StatesZhen Zhang, Junhai Xu, Luqi Cheng, Cheng Chen, Lingzhong Fan. 98-109 [doi]
- Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG SignalsXingliang Xiong, Xuesong Lu, Lingyun Gu, Hongfang Han, Zhongxian Hong, Haixian Wang. 110-121 [doi]
- The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction MethodsHongfang Han, Xingliang Xiong, Jianfeng Yan, Haixian Wang, Mengting Wei. 122-134 [doi]
- Transfer Dataset in Image Segmentation Use CaseAnna Wróblewska, Sylwia Sysko-Romanczuk, Karol Prusinowski. 135-146 [doi]
- A Gaussian Process-Based Incremental Neural Network for Online RegressionXiaoyu Wang, Lucian Gheorghe, Jun-ichi Imura. 149-161 [doi]
- Analysis on the Boltzmann Machine with Random Input Drifts in Activation FunctionWenhao Lu, Chi-Sing Leung, John Sum. 162-171 [doi]
- Are Deep Neural Architectures Losing Information? Invertibility is IndispensableYang Liu, Zhenyue Qin, Saeed Anwar, Sabrina B. Caldwell, Tom Gedeon. 172-184 [doi]
- Automatic Dropout for Deep Neural NetworksVeena Dodballapur, Rajanish Calisa, Yang Song 0001, Weidong Cai 0001. 185-196 [doi]
- Bayesian Randomly Wired Neural Network with Variational Inference for Image RecognitionPegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi. 197-207 [doi]
- Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit EncodingShiming Song, Chenxiang Ma, Qiang Yu 0005. 208-219 [doi]
- Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture ModelMarcin Przewiezlikowski, Marek Smieja, Lukasz Struski. 220-231 [doi]
- Environmentally-Friendly Metrics for Evaluating the Performance of Deep Learning Models and SystemsSorin Liviu Jurj, Flavius Opritoiu, Mircea Vladutiu. 232-244 [doi]
- Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram SignalsAbdul Qayyum, Imran Razzak, Wajid Mumtaz. 245-257 [doi]
- Iterative Imputation of Missing Data Using Auto-Encoder DynamicsMarek Smieja, Maciej Kolomycki, Lukasz Struski, Mateusz Juda, Mário A. T. Figueiredo. 258-269 [doi]
- Multi-objective Evolution for Deep Neural Network Architecture SearchPetra Vidnerová, Roman Neruda. 270-281 [doi]
- Neural Architecture Search for Extreme Multi-label Text ClassificationLoïc Pauletto, Massih-Reza Amini, Rohit Babbar, Nicolas Winckler. 282-293 [doi]
- Non-linear ICA Based on Cramer-Wold MetricPrzemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski. 294-305 [doi]
- Oblique Random Forests on Residual Network FeaturesWen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal. 306-317 [doi]
- P2ExNet: Patch-Based Prototype Explanation NetworkDominique Mercier, Andreas Dengel 0001, Sheraz Ahmed. 318-330 [doi]
- Prediction of Taxi Demand Based on CNN-BiLSTM-Attention Neural NetworkXudong Guo. 331-342 [doi]
- Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion RecognitionMadeline Brewer, Jessica Sharmin Rahman. 343-352 [doi]
- Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse CodingRegina Esi Turkson, Hong Qu, Yuchen Wang, Moses J. Eghan. 353-365 [doi]
- VAEPP: Variational Autoencoder with a Pull-Back PriorWenxiao Chen, Wenda Liu, Zhenting Cai, Haowen Xu, Dan Pei. 366-379 [doi]
- Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work?Oyebade K. Oyedotun, Djamila Aouada. 380-392 [doi]
- AMBR: Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior DataChen Wang, Shilu Lin, Zhicong Zhong, Yipeng Zhou, Di Wu 0001. 395-406 [doi]
- Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative FilteringYongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming. 407-419 [doi]
- DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical InfluenceJun Zeng, Haoran Tang, Junhao Wen. 420-431 [doi]
- Feature Aware and Bilinear Feature Equal Interaction Network for Click-Through Rate PredictionLang Luo, Yufei Chen, Xianhui Liu, Qiujun Deng. 432-443 [doi]
- GFEN: Graph Feature Extract Network for Click-Through Rate PredictionMei Yu, Chengchang Zhen, Ruiguo Yu, Xuewei Li, Tianyi Xu, Mankun Zhao, Hongwei Liu, Jian Yu, Xuyuan Dong. 444-454 [doi]
- JUST-BPR: Identify Implicit Friends with Jump and Stay for Social RecommendationRunsheng Wang, Min Gao 0001, Junwei Zhang, Quanwu Zhao. 455-466 [doi]
- Leveraging Knowledge Context Information to Enhance Personalized RecommendationJiong Wang, Yingshuai Kou, Yifei Zhang, Neng Gao, Chenyang Tu. 467-478 [doi]
- LHRM: A LBS Based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel PlatformZiyi Wang, Wendong Xiao, Yu Li, Zulong Chen, Zhi Jiang. 479-490 [doi]
- Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with the Matching TaskLingxiao Zhang, Jiangpeng Yan, Yujiu Yang, Li Xiu. 491-503 [doi]
- Multi-level Feature Extraction in Time-Weighted Graphical Session-Based RecommendationMei Yu, Suiwu Li, Ruiguo Yu, Xuewei Li, Tianyi Xu, Mankun Zhao, Hongwei Liu, Jian Yu. 504-515 [doi]
- 3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption ForecastingGrzegorz Dudek, Pawel Pelka, Slawek Smyl. 519-531 [doi]
- A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive FeaturesTianyi Chen, Canghong Jin, Tengran Dong, Dongkai Chen. 532-543 [doi]
- Benchmarking Adversarial Attacks and Defenses for Time-Series DataShoaib Ahmed Siddiqui, Andreas Dengel 0001, Sheraz Ahmed. 544-554 [doi]
- Correlation-Aware Change-Point Detection via Graph Neural NetworksRuohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang. 555-567 [doi]
- DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series PredictionShajia Shan, Ziyu Shen, Bin Xia 0003, Zheng Liu, Yun Li. 568-578 [doi]
- ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series ForecastingJoel Janek Dabrowski, Yifan Zhang, Ashfaqur Rahman. 579-591 [doi]
- Memetic Genetic Algorithms for Time Series Compression by Piecewise Linear ApproximationTobias Friedrich 0001, Martin S. Krejca, J. A. Gregor Lagodzinski, Manuel Rizzo, Arthur Zahn. 592-604 [doi]
- Sensor Drift Compensation Using Robust Classification MethodGuopei Wu, Junxiu Liu, Yuling Luo, Senhui Qiu. 605-615 [doi]
- SpringNet: Transformer and Spring DTW for Time Series ForecastingYang Lin, Irena Koprinska, Mashud Rana. 616-628 [doi]
- U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGsShenglan Yang, Bijue Jia, Yao Chen, Zhan ao Huang, Xiaoming Huang, Jiancheng Lv. 629-640 [doi]