Abstract is missing.
- Incorporating Adjacent User Modeling into Session-based Recommendation with Graph Neural NetworksMinghao Chen, Jiale Zheng. 1-9 [doi]
- Sequential Item Recommendation in the MOBA Game Dota 2Alexander Dallmann, Johannes Kohlmann, Daniel Zoller, Andreas Hotho. 10-17 [doi]
- Dynamic Sequential Recommendation: Decoupling User Intent from Temporal ContextWei Jiang, Fangquan Lin, Jihai Zhang, Cheng Yang, Hanwei Zhang, Ziqiang Cui. 18-26 [doi]
- A probabilistic perspective on nearest neighbor for implicit recommendationDomokos M. Kelen, András A. Benczúr. 27-35 [doi]
- DynaPosGNN: Dynamic-Positional GNN for Next POI RecommendationJunbeom Kim, Sihyun Jeong, Goeon Park, Kihoon Cha, Ilhyun Suh, Byungkook Oh. 36-44 [doi]
- CoBERT: Scientific Collaboration Prediction via Sequential RecommendationTobias Koopmann, Konstantin Kobs, Konstantin Herud, Andreas Hotho. 45-54 [doi]
- SynEvaRec: A Framework for Evaluating Recommender Systems on Synthetic Data ClassesVladimir Provalov, Elizaveta Stavinova, Petr Chunaev. 55-64 [doi]
- Balanced News Neural Network for a News Recommender SystemShaina Raza, Syed Raza Bashir, Dora D. Liu, Usman Naseem. 65-74 [doi]
- Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate PredictionJoonyoung Yi, Beomsu Kim, Buru Chang. 75-84 [doi]
- IBFM: An Instance-weight Balanced Factorization Machine for Sparse PredictionWenxiong Wu, Yongli Cheng, Hong Jiang 0001, Fang Wang 0001, Xianghao Xu, Dan He, Jing Yu. 85-93 [doi]
- Challenging the Long Tail Recommendation on Heterogeneous Information NetworkChuanyan Zhang, Xiaoguang Hong. 94-101 [doi]
- ContentHE: Content-enhanced Network Embedding for Hashtag RepresentationShaoliang Zhang, Xuefeng Liu 0001, Jianwei Niu 0002, Huiyong Li. 102-109 [doi]
- Sentiment Analysis Using Part-of-Speech-Based Feature Extraction and Game-Theoretic Rough SetsYixing Chen 0002, JingTao Yao 0001. 110-117 [doi]
- A real-time platform for contextualized conspiracy theory analysisDavid Chong, Erl Lee, Matthew Fan, Pavan Holur, Shadi Shahsavari, Timothy R. Tangherlini, Vwani Roychowdhury. 118-127 [doi]
- Automated Pipeline for Sentiment Analysis of Political TweetsAtrik Das, Kushal Sai Gunturi, Aditya Chandrasekhar, Abhinandan Padhi, Qian Liu. 128-135 [doi]
- Deep Neural Language-agnostic Multi-task Text ClassifierKarol Gawron, Michal Pogoda, Norbert Ropiak, Michal Swedrowski, Jan Kocon. 136-142 [doi]
- Sentiment Analysis Framework Using Data Driven ApproachJahedul Islam, Shubiour Shuvo, Tonmoy Sarker, Mohammad Zavid Parvez, Md Anisur Rahman. 143-150 [doi]
- A Multitask Learning Framework for Multimodal Sentiment AnalysisDazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng 0003, Erik Cambria. 151-157 [doi]
- Interpretable Representation Learning for Personality DetectionAmirmohammad Kazemeini, Sudipta Singha Roy, Robert E. Mercer, Erik Cambria. 158-165 [doi]
- AspectEmo: Multi-Domain Corpus of Consumer Reviews for Aspect-Based Sentiment AnalysisJan Kocon, Jarema Radom, Ewa Kaczmarz-Wawryk, Kamil Wabnic, Ada Zajaczkowska, Monika Zasko-Zielinska. 166-173 [doi]
- DUSE: A New Benchmark Dataset for Drug User Sentiment ExtractionAshok Kumar J, Erik Cambria, Tina Esther Trueman. 174-178 [doi]
- Enhancing Negation Scope Detection using Multitask LearningHarsh Patel, Xulang Zhang, Qian Liu. 179-185 [doi]
- Contextualized Embedding based Approaches for Social Media-specific Sentiment AnalysisHarsh Sakhrani, Saloni Parekh, Pratik Ratadiya. 186-193 [doi]
- Modelling Context with Graph Convolutional Networks for Aspect-based Sentiment AnalysisMaoyuan Zhang, Jieqiong Zhang, Lisha Liu. 194-200 [doi]
- Prediction Diagnostics - Addressing data veracity in predicting batch processesParag Agrawal, Priyadarshi, Vikrant Shimpi, Neha Behl, Deepa Vaidyanathan, Maitreya Natu. 201-207 [doi]
- Application of Machine Learning for Growth Environment Prediction in AgricultureMomoko Fujita, Akari Yamada, Mao Susuki, Hiroya Makino, Eisuke Kita. 208-213 [doi]
- A data-driven approach to predict hourly bill rates for US contingent workersGiuliano Giuliani, Fabrizio Giuliani, Summer M. Husband. 214-221 [doi]
- A Time-series Analysis of How Google Trends Searches Affect Cryptocurrency Prices for Decentralized Finance and Non-Fungible TokensYuta Kaneko. 222-227 [doi]
- Intent-based Product Collections for E-commerce using Pretrained Language ModelsHiun Kim, Jisu Jeong, Kyung Min Kim, Dongjun Lee, Hyun-Dong Lee, Dongpil Seo, Jeeseung Han, Dong Wook Park, Ji Ae Heo, Rak Yeong Kim. 228-237 [doi]
- Stochastic Schemata Exploiter-Based AutoMLHiroya Makino, Eisuke Kita. 238-245 [doi]
- Confident Collaborative Metric LearningRyo Matsui, Taketo Naito, Suguru Yaginuma, Kazuhide Nakata. 246-253 [doi]
- Legitimacy: An Ensemble Learning Model for Credibility Based Fake News DetectionAmit Neil Ramkissoon, Wayne Goodridge. 254-261 [doi]
- Application of Fractal Analysis for Customer Classification Based on Path DataFengmei Sun, Licheng Zhao, Yi Zuo, Yuta Kaneko. 262-267 [doi]
- Data-Driven Divide-and-Conquer for Estimating Build Times of 3D ObjectsMahdi Tabassian, Robbert Verbeke, Tom Tourwé, Elena Tsiporkova. 268-277 [doi]
- The Vehicle Routing Problem with Time Windows and Time CostsZhao Wang, Yuusuke Nakano, Ken Nishimatsu. 278-287 [doi]
- Application of LSTM Models to Predict In-store Trajectory of CustomersWeizheng Zhao, Yi Zuo, Licheng Zhao, Junhao Jiang. 288-294 [doi]
- Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept DriftFilip Guzy, Michal Wozniak 0001, Bartosz Krawczyk. 295-303 [doi]
- Lightweight Alternatives for Hyper-parameter Tuning in Drifting Data StreamsJesus L. Lobo, Javier Del Ser, Eneko Osaba. 304-311 [doi]
- A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection CapabilityChang How Tan, Vincent C. S. Lee, Mahsa Salehi, Slaven Marusic, Srimal Jayawardena, Dion Lucke. 312-321 [doi]
- SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream ClassificationDeeksha Aggarwal, J. Senthilnath 0001, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li 0001. 322-330 [doi]
- IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data StreamsAlessio Bernardo, Giacomo Ziffer, Emanuele Della Valle. 331-340 [doi]
- Drift Lens: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributionsSalvatore Greco, Tania Cerquitelli. 341-349 [doi]
- NimbleLearn: A Scalable and Fast Batch-mode Active Learning ApproachRuoyan Kong, Zhanlong Qiu, Yang Liu, Qi Zhao. 350-359 [doi]
- Incremental Clustering Algorithms for Massive Dynamic GraphsJohannes Langguth, Aigars Tumanis, Ariful Azad. 360-369 [doi]
- Customs Fraud Detection in the Presence of Concept DriftTung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim. 370-379 [doi]
- Fast and lightweight binary and multi-branch Hoeffding Tree RegressorsSaulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho. 380-388 [doi]
- Crowd behavior detection in videos using statistical physicsHuiyu Mu, Ruizhi Sun, Gang Yuan, Jiayao Li, Miao Wang. 389-397 [doi]
- Accelerating Active Learning Image Labeling Through Bulk Shift RecommendationsPhilipp Scharpf, Chi Lap Hong, Oliver Duerr. 398-404 [doi]
- Multi-Label kNN classifier with Online Dual Memory on data streamXihui Wang, Pascale Kuntz, Frank Meyer, Vincent Lemaire 0001. 405-413 [doi]
- Online Changepoint Detection on a BudgetZhaohui Wang, Xiao Lin, Abhinav Mishra, Ram Sriharsha. 414-420 [doi]
- Few-Shot Class-Incremental Learning with Meta-Learned Class StructuresGuangtao Zheng, Aidong Zhang. 421-430 [doi]
- LUCKe - Connecting Clustering and Correlation ClusteringAnna Beer, Lisa Stephan, Thomas Seidl 0001. 431-440 [doi]
- Implicit Hough Transform Neural Networks for Subspace ClusteringJulian Busch, Maximilian Hünemörder, Janis Held, Peer Kröger, Thomas Seidl 0001. 441-448 [doi]
- TensorMode Algorithm for Network Embedding in Dynamic EnvironmentsChris Connell, Yang Wang. 449-459 [doi]
- ReTriM: Reconstructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time SeriesYash Garg. 460-465 [doi]
- Anomaly Detection with Dual Adversarial TrainingShuo Liu, Liwen Xu. 466-473 [doi]
- Accelerating Density-Based Subspace Clustering in High-Dimensional DataJürgen Prinzbach, Tobias Lauer, Nicolas Kiefer. 474-481 [doi]
- Random Projection Through the Lens of Data Complexity IndicatorsYamonporn Thummanusarn, Ata Kabán. 482-489 [doi]
- Causal structure learning of nonlinear additive noise model based on streaming featureJing Yang, Gaojin Fan, Anbo Shen, Aiguo Wang. 490-499 [doi]
- Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome AnalysisSathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran. 500-507 [doi]
- Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture PatientsBerk Yenidogan, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Maurice van Keulen. 508-516 [doi]
- Empirical Quantitative Analysis of COVID-19 Forecasting ModelsYun Zhao 0001, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold. 517-526 [doi]
- EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart GridYogesh Kulkarni, Sayf Hussain Z, Krithi Ramamritham, Nivethitha Somu. 527-536 [doi]
- Attention Augmented Convolutional Transformer for Tabular Time-seriesSharath M. Shankaranarayana, Davor Runje. 537-541 [doi]
- Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage AutoencoderSusumu Naito, Yasunori Taguchi, Kouta Nakata, Yuichi Kato. 542-551 [doi]
- Towards Dynamic Structure Changes Detection in Financial Series via Causal AnalysisPatrick Owusu, Armelle Brun, Shengrui Wang. 552-557 [doi]
- Forecasting of Reservoir Inflow by the Combination of Deep Learning and Conventional Machine LearningTopon Kumar Paul, Sreeharsha Raghavendra, Ken Ueno, Fang Ni, Hiromasa Shin, Kaneharu Nishino, Ryusei Shingaki. 558-565 [doi]
- Mining High Utility SubgraphsMd. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam 0001, Carson K. Leung. 566-573 [doi]
- Sequence Prediction using Partially-Ordered Episode RulesYangming Chen, Philippe Fournier-Viger, Farid Nouioua, Youxi Wu. 574-580 [doi]
- Personalized Neural Architecture SearchCedric Kulbach, Steffen Thoma. 581-590 [doi]
- Large-Scale Closed High-Utility Itemset MiningJerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Jimmy Ming-Tai Wu. 591-598 [doi]
- CHUQI-Miner: Mining Correlated Quantitative High Utility ItemsetsMourad Nouioua, Philippe Fournier-Viger, Jun-Feng Qu, Jerry Chun-Wei Lin, Wensheng Gan, Wei Song 0004. 599-606 [doi]
- A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal DatabasesPamalla Veena, So Nakamura, Palla Likhitha, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu. 607-614 [doi]
- TopUMS: Top-k Utility Mining in Stream DataWei Song, Caiyu Fang, Wensheng Gan. 615-622 [doi]
- Optimal Segmented Linear Regression for Financial Time Series SegmentationChi-Jen Wu, Wei-Sheng Zeng, Jan-Ming Ho. 623-630 [doi]
- Simplify Your Law: Using Information Theory to Deduplicate Legal DocumentsCorinna Coupette, Jyotsna Singh, Holger Spamann. 631-638 [doi]
- Detection of Similar Legal Cases on Personal InjuryJason T. Lam, Yuhao Chen, Farhana H. Zulkernine, Samuel Dahan. 639-646 [doi]
- Determining Standard Occupational Classification Codes from Job Descriptions in Immigration PetitionsSourav Mukherjee, David Widmark, Vince DiMascio, Tim Oates. 647-652 [doi]
- Legal Entity Extraction using a Pointer Generator NetworkStavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman. 653-658 [doi]
- SSPF: a Simple and Scalable Parameter Free Clustering MethodXingyu Cai, Yuchen Bian, Jiaji Huang, Boxiang Liu, Jiahong Yuan, Kenneth Church 0001. 659-668 [doi]
- Versatile feature learning with graph convolutions and graph structuresGuojing Cong, Seung-Hwan Lim. 669-677 [doi]
- Sparse Subspace K-meansAbdoul Wahab Diallo, Ndèye Niang, Mory Ouattara. 678-685 [doi]
- Deep Embedded K-Means ClusteringWengang Guo, Kaiyan Lin, Wei Ye. 686-694 [doi]
- Convolutional Variational Autoencoders for Image ClusteringIoannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos. 695-702 [doi]
- Model-based Poisson co-clustering for Attributed NetworksPaul Riverain, Simon Fossier, Mohamed Nadif. 703-710 [doi]
- Graph Representation Learning with Adaptive MixturesDa Sun Handason Tam, Siyue Xie, Wing Cheong Lau. 711-718 [doi]
- Unsupervised graph-clustering learning framework for financial news summarizationJun Wang 0089, Jinghua Tan, Hanlei Jin, Shuo Qi. 719-726 [doi]
- Detecting Wandering Behavior of People with DementiaNicklas Sindlev Andersen, Marco Chiarandini, Stefan Jänicke, Panagiotis Tampakis, Arthur Zimek. 727-733 [doi]
- Passenger flow forecasting on transportation network: sensitivity analysis of the spatiotemporal featuresJohanna Baro, Mostepha Khouadjia. 734-741 [doi]
- On the Unreasonable Efficiency of State Space Clustering in Personalization TasksAnton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster. 742-749 [doi]
- Deriving Spatio-temporal Trajectory Fingerprints from Mobility Data using Non-Negative Matrix FactorisationMichiel Dhont, Elena Tsiporkova, Nicolás González-Deleito. 750-759 [doi]
- Disjoint-CNN for Multivariate Time Series ClassificationSeyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi. 760-769 [doi]
- Functional Foot Segmentation Based on Plantar Pressure Measurements for Profiling Subjects Performing a Running ExercisePeter Van Hese, Henrique Cabral, Wouter Aerts, Elena Tsiporkova. 770-777 [doi]
- STONE: Signal Temporal Logic Neural Network for Time Series ClassificationRuixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma 0001, Rosario Uceda-Sosa. 778-787 [doi]
- Identifying Darknet Vendor Wallets by Matching Feedback Reviews with Bitcoin TransactionsXucan Chen, Wei Cheng, Marie Ouellet, Yuan Li, David Maimon, Yubao Wu. 788-797 [doi]
- Shedding Light in the Tunnel: Counting Flows in Encrypted Network TrafficFares Meghdouri, Félix Iglesias Vázquez, Tanja Zseby. 798-804 [doi]
- Static Analysis for Android Malware detection with Document VectorsUtkarsh Raghav, Elisa Martínez Marroquín, Wanli Ma. 805-812 [doi]
- Faster classification using compression analyticsChristina Ting, Nicholas Johnson, Uzoma Onunkwo, J. Derek Tucker. 813-822 [doi]
- Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label ClassificationKaan Demir, Bach Hoai Nguyen, Bing Xue 0001, Mengjie Zhang 0001. 823-832 [doi]
- Automated and Efficient Sparsity-based Feature Selection via a Dual-component VectorBach Hoai Nguyen, Bing Xue 0001, Mengjie Zhang 0001. 833-842 [doi]
- Instance selection for multi-label learning based on a scalable evolutionary algorithmJuan Antonio Romero del Castillo, Domingo Ortiz-Boyer, Nicolás García-Pedrajas. 843-851 [doi]
- Transformer-based Hierarchical Encoder for Document ClassificationHarsh Sakhrani, Saloni Parekh, Pratik Ratadiya. 852-858 [doi]
- Cross-lingual COVID-19 Fake News DetectionJiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu. 859-862 [doi]
- Patient Preferences: An Unexplored Area in the Post-Pandemic EraHaridimos Kondylakis, Angelina Kouroubali, Dimitrios G. Katehakis. 863-866 [doi]
- A Sentiment-aware Delightful Walking Route Recommendation System Considering the Scenery and SeasonDa Li, Shiho Ishitsubo, Katsuyuki Yamauchi, Panote Siriaraya, Shinsuke Nakajima, Yukiko Kawai. 867-872 [doi]
- Effects of stimulus checks on spending patterns of different economic groupsNidhi Mulay, Vikas Bishnoi, Yatin Katyal, Mohsen Bahrami, Esteban Moro, Ankur Saraswat, Alex Pentland. 873-877 [doi]
- Analysis of User Behavior in a C2C Platform during COVID-19 PandemicTaisei Ninomiya, Fujio Toriumi, Hiroka Zaitsu, Yusuke Miyake. 878-881 [doi]
- Analyzing the Bad-Words in tweets of Twitter users to discover the Mental Health Happiness Index and Feel-Good-FactorsSudha Tushara Sadasivuni, Yanqing Zhang. 882-888 [doi]
- HappyRec: Evaluation of a "Happy Spot" Recommendation System Aimed at Improving Mental Well-BeingKenta Suzuki, Panote Siriaraya, Wan-Jou She, Ryotaro Tanaka, Da Li, Shinsuke Nakajima. 889-892 [doi]
- Online Partisan Polarization of COVID-19Zachary Yang, Anne Imouza, Kellin Pelrine, Sacha Levy, Jiewen Liu, Gabrielle Desrosiers-Brisebois, Jean-François Godbout, André Blais, Reihaneh Rabbany. 893-901 [doi]
- Mixture Gaussian Prototypes for Few-Shot LearningRuijin Jiang, Zhaohui Cheng. 902-908 [doi]
- Overview of Optimization Algorithms for Large-scale Support Vector MachinesXuchan Ju, Zhenghao Yan, Tianhe Wang. 909-916 [doi]
- Machine Learning and Deep Learning Methods used in Safety Management of Nuclear Power Plants: A SurveyYong Shi 0001, Xiaodong Xue, Yi Qu, Jiayu Xue, Linzi Zhang. 917-924 [doi]
- SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap SizeLudwig Zellner, Janina Sontheim, Florian Richter 0001, Gabriel Lindner, Thomas Seidl 0001. 925-934 [doi]
- Fake Reviewer Group Detection in Online Review SystemsChen Cao, Shihao Li, Shuo Yu, Zhikui Chen. 935-942 [doi]
- A Human-in-the-Loop Approach based on Explainability to Improve NTL DetectionBernat Coma-Puig, Josep Carmona 0001. 943-950 [doi]
- Cross Network Representation Matching with OutliersMingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, Feng Xia 0001. 951-958 [doi]
- Deep Video Anomaly Detection: Opportunities and ChallengesJing Ren, Feng Xia 0001, Yemeng Liu, Ivan Lee. 959-966 [doi]
- Early Prediction of Hate Speech PropagationKen-Yu Lin, Roy Ka-Wei Lee, Wei Gao, Wen-Chih Peng. 967-974 [doi]
- Surrogate Supervision-based Deep Weakly-supervised Anomaly DetectionZhiyue Wu, Hongzuo Xu, Yijie Wang, Yongjun Wang. 975-982 [doi]
- Temporal Graph Representation Learning for Detecting Anomalies in E-payment SystemsYiming Li, Da Sun Handason Tam, Siyue Xie, Xiaxin Liu, Qiufang Ying, Wing Cheong Lau, Dah-Ming Chiu, Shou Zhi Chen. 983-990 [doi]
- OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data SetsAndreas Lohrer, Jan Deller, Maximilian Hünemörder, Peer Kröger. 991-1000 [doi]
- Neural Architecture Search and Multi-Objective Evolutionary Algorithms for Anomaly DetectionChakkrit Termritthikun, Lin Xu, Yemeng Liu, Ivan Lee. 1001-1008 [doi]
- A fast sorting-based aggregation method for symbolic time series representationXinye Chen, Stefan Güttel. 1009-1016 [doi]
- Feature Selection for Multivariate Time Series via Network PruningKang Gu, Soroush Vosoughi, Temiloluwa Prioleau. 1017-1024 [doi]
- Time Series Ordinal Regression for Supporting the Storage of Temperature Sensitive Medication in Domestic RefrigeratorsAli Hammadeh, Amin Zayani, Andreas W. Kempa-Liehr. 1025-1031 [doi]
- An Empirical Evaluation of Time-Series Feature SetsTrent Henderson, Ben D. Fulcher. 1032-1038 [doi]
- Evaluating Time Series Predictability via Transition Graph AnalysisAnton Kovantsev, Petr Chunaev, Klavdiya Bochenina. 1039-1046 [doi]
- Comparison of Variant Principal Component Analysis Using New RNN-based Framework for Stock PredictionShuyan Liu, Yue Chen. 1047-1056 [doi]
- Data Mining on Extremely Long Time-SeriesScott Simmons, Louis Jarvis, David Dempsey, Andreas W. Kempa-Liehr. 1057-1066 [doi]
- Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 MethodsAtharv Yeolekar, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk. 1067-1076 [doi]
- Deep Reinforcement Learning Task for Portfolio ConstructionBoris Belyakov, Dmitry Sizykh. 1077-1082 [doi]
- Self-Supervised Source Code Annotation from Related Research PapersPierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus. 1083-1084 [doi]
- A Gamified Approach To Automatically Detect Biased Wording And Train Critical ReadingSmilla Hinterreiter. 1085-1086 [doi]
- Early Detection of Atmospheric Turbulence for Civil Aircraft: A Data Driven ApproachTianyi Li, Philippe Goupil, Josiane Mothe, Olivier Teste. 1087-1093 [doi]
- Multi-channel Convolution Neural Network for Gas Mixture ClassificationYongKyung Oh, Sungil Kim. 1094-1095 [doi]
- An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News ArticlesTimo Spinde. 1096-1103 [doi]
- A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation DerivationJun Wang 0089, Jinghua Tan, Jiujiu Chen, Hanlei Jin. 1104-1111 [doi]
- Optimal Option Hedging with Policy GradientBo Xiao, Wuguannan Yao, Xiang Zhou. 1112-1119 [doi]