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ORCIDBigData Conference 2023: Sorrento, Italy
- Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal:
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. IEEE 2023, ISBN 979-8-3503-2445-7 - Fatimah Alotaibi, Dawei Zhou:
Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs. 1-5 - Stratos Idreos:
The Data Systems Grammar: Self-designing Systems for the era of AI. 1 - Raffaele Russo, Giuliano Di Giuseppe, Alessandro Vanacore, Valerio La Gatta
, Antonino Ferraro, Antonio Galli, Marco Postiglione, Vincenzo Moscato:
Graph-Based Approach for European Law Classification. 1-9 - Weili Sun, Boyu Gao, Jiahao Chen, Shuyan Huang, Weiqi Luo:
An Interactive Framework of Balancing Evaluation Cost and Prediction Accuracy for Knowledge Tracing. 1-8 - Vipin Kumar:
Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges. 2 - Qiong Luo:
GPU Acceleration for Data Processing and Analytics. 3 - Minos N. Garofalakis:
Have your data and share it too: Private data analytics at scale. 4 - Jeffery Ullman:
Big-Data Algorithms That Are Not Machine Learning. 5 - Yichuan Deng, Yeqi Gao, Zhao Song:
Solving Tensor Low Cycle Rank Approximation. 6-16 - Wenqing Hu, Tiefeng Jiang, Birendra Kathariya, Vikram Abrol, Jiali Zhang, Zhu Li:
Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine. 17-26 - Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou:
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach. 27-36 - Hsiang-Yu Ku, Che-Rung Lee:
CoMABO: Covariance Matrix Adaptation for Bayesian Optimization. 37-45 - Hou-Wan Long, Xiongfei Zhao, Yain-Whar Si:
Dynamic Mining Interval to Improve Blockchain Throughput. 46-55 - Lianke Qin, Aravind Reddy, Zhao Song:
Online Adaptive Mahalanobis Distance Estimation. 56-65 - Stijn J. Rotman, Boris Cule, Len Feremans:
Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series. 66-75 - Rohit P. Singh, Philip A. Wilsey:
Compact Boundary Matrix from a Polytopal Complex for Computing Persistent Homology. 76-85 - Xiuqin Xu, Mingwei Lin, Wenqiang Li, Jianpeng Zhang, Hao Wu:
Time-varying QoS Estimation via Non-negative Latent Factorization of Tensors with Extended Linear Biases. 86-95 - Radhika Joshi, Calvin Thomas Dani, Shiva Jahangiri:
Big Data Management System Architectures: From Opportunities to Challenges [Vision]. 96-101 - Na Li, Yiyang Qi, Ruyue Xin, Zhiming Zhao:
Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning. 102-107 - Abisha Thapa Magar, Anup Shakya, Somdeb Sarkhel, Deepak Venugopal:
Verifying Relational Explanations: A Probabilistic Approach. 108-115 - Emanuela Marasco:
Vision Paper: Hyperspectral Analysis of Finger Skin Reflectance for Resilient Biometric Systems. 116-120 - Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen:
KF K-means: A High Performance K-means Implementation using Kernel Fusion. 121-127 - Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou:
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. 128-133 - Ali Sekmen, Bahadir Bilgin, Guy Sereff:
Quality Ranking for Synthetically Generated Images. 134-138 - Nawras Alnaasan, Matthew Lieber, Aamir Shafi, Hari Subramoni, Scott A. Shearer, Dhabaleswar K. Panda:
HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training. 139-148 - Chengcheng Mou, Minh Pham, Benjamin Hsu, Yicheng Tu:
Computing Group-By and Aggregates on Massively Parallel Systems. 149-158 - Wei Qiu, Marcin Copik, Yun Wang, Alexandru Calotoiu, Torsten Hoefler:
User-guided Page Merging for Memory Deduplication in Serverless Systems. 159-169 - Michelle S. Zhou:
PieRank: Embedded Large-Scale Sparse Matrix Processing. 170-181 - Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao:
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. 182-189 - Edward Curry, Tarek Zaarour, Yang Yang, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque:
Foundation Data Space Models: Bridging the Artificial Intelligence and Data Ecosystems (Vision Paper). 190-195 - Edward Curry:
Towards Open World Event Processing: A Paradigm and Research Agenda for Event Processing for the Internet of Multimedia Things (Vision Paper). 196-200 - Eduardo Davalos, Umesh Timalsina, Yike Zhang, Jiayi Wu, Joyce Horn Fonteles, Gautam Biswas:
ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing. 201-206 - Isuru Dharmadasa, Faheem Ullah:
Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms. 207-214 - Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna:
On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets. 215-220 - Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel A. Stein, Jinwei Liu, Ang Li, Ying Mao:
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System. 221-228 - Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. 229-236 - Jinwei Liu, Yingjie Lao, Ying Mao, Rajkumar Buyya:
Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds. 237-246 - Dimitar Misev, Mikhail Rodionychev, Peter Baumann:
Performance of Null Handling in Array Databases. 247-254 - Masanobu Nozawa, Satoshi Imamura, Kenji Kono:
Accelerating Multilingual Applications with In-memory Array Sharing. 255-262 - Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel:
gSPICE: Model-Based Event Shedding in Complex Event Processing. 263-270 - Manal A. Alshehri, Xiangliang Zhang:
Forgetting User Preference in Recommendation Systems with Label-Flipping. 271-281 - Stefano Fiorini, Michele Ciavotta, Carlo Liberto, Gaetano Valenti:
On-Street Parking Prediction: A Comparative Study. 282-291 - Minh Pham, Craig A. Knoblock, Muhao Chen:
Detecting Semantic Errors in Tables using Textual Evidence. 292-303 - Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. 304-314 - Ga Wu, Shivam Khare, Li Zhou, Yael Brumer, Jun-Ping Ng, Ruowei Wang:
Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter. 315-324 - Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Multiloss-Based Optimization for Time Series Data Augmentation. 325-330 - Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono:
Efficient Missing Value Imputation by Maximum Distance Likelihood. 331-338 - Vasilis Efthymiou, Ekaterini Ioannou, Manos Karvounis, Manolis Koubarakis, Jakub Maciejewski, Konstantinos Nikoletos, George Papadakis, Dimitrios Skoutas, Yannis Velegrakis, Alexandros Zeakis:
Self-configured Entity Resolution with pyJedAI. 339-343 - Parveen Kaur, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli, Chung-Horng Lung, Marzia Zaman, Abdul Mutakabbir:
A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction. 344-351 - Xi Niu, Ruhani Rahman, Xiangcheng Wu, Zhe Fu, Depeng Xu, Riyi Qiu:
Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems. 352-359 - Pravin Poudel, Will Usher, Steve Petruzza:
Multi-layer Caching and Parallel Streaming for Large Scale Cloud Optimized Point Cloud Data Visualization using WebGPU. 360-365 - Yuewen Shen, Xinhao Yang, Jiayu Zhao, Ze Li:
An Analysis of Combined Data Augmentation in Time Series Prediction Tasks Using Discrete Wavelet Multilevel Decomposition. 366-371 - Naoto Takeda, Akihiro Kobayashi, Yudai Yamazaki, Daisuke Kamisaka:
Fine-Grained Urban Population Distribution Estimation Using Image Super-Resolution Model with Rich Auxiliary Information. 372-376 - Yu Zhang, Haiwei Pan, Kejia Zhang, Tianming Zhang, Qingquan Ren, Wenjie Li:
Dual-Path Side Information Fusion for Sequential Recommendation. 377-382 - Alexander Kalinowski, Deepayan Datta, Yuan An:
A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal Transport. 383-392 - Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. 393-402 - Guojun Liu, Yuefeng Ma, Xun Liang:
Cross-Domain Fake News Detection Based on Coarse-Fine Grained Environments Reflecting Public Expectation. 403-412 - Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman:
Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions. 413-422 - Pattara Sukprasert, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Fan Du, Eunyee Koh:
Discovery and Matching Numerical Attributes in Data Lakes. 423-432 - Shaun Toh, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee:
MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding. 433-442 - Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh:
Sketching Multidimensional Time Series for Fast Discord Mining. 443-452 - Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong:
Multi-State Brain Network Discovery. 453-462 - Yongsheng Yu, Jia Wu, Jian Yang:
Social Event Detection with Reinforced Deep Heterogeneous Graph Attention Network. 463-472 - Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. 473-482 - Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. 483-492 - Joyanta Basak, Sartaj Sahni, Sanguthevar Rajasekaran:
SuperBlocking: An Efficient Blocking Technique for Record Linkage. 498-503 - Huiwen Dong, Qing-Guo Wang, Wei Ding:
Chain-Based Outlier Detection for Complex Data Scenarios. 504-509 - Blake B. Gaines, Minghu Song, Jinbo Bi:
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. 510-515 - Jiehui Liu, Jieyu Zhan:
Constructing Knowledge Graph from Cyber Threat Intelligence Using Large Language Model. 516-521 - Juntong Luo, Scott Sallinen, Matei Ripeanu:
Maximum Flow on Highly Dynamic Graphs. 522-529 - Qizhong Mao, Vagelis Hristidis:
Increase Merge Efficiency in LSM Trees Through Coordinated Partitioning of Sorted Runs. 530-535 - Chenxu Niu, Wei Zhang, Suren Byna, Yong Chen:
PSQS: Parallel Semantic Querying Service for Self-describing File Formats. 536-541 - Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. 542-547 - Karan Samel, Jun Ma, Zhengyang Wang, Tong Zhao, Irfan Essa:
Integrating Noisy Knowledge into Language Representations for E-Commerce Applications. 548-553 - Haozhe Tian, Haibo Hu, Qingqing Ye:
CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks. 554-561 - Zuxuan Zhang, Hongxi Li, Kai Huang, Yuncheng Jiang:
k-bitruss-Attributed Weighted Community Search on Attributed Weighted Bipartite Graphs. 562-567 - Aarti, Jagat Sesh Challa, Utkarsh Darolia, Mridul Chandak, Poonam Goyal, Navneet Goyal:
An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams. 568-577 - Ademola Adesokan, Sanjay Madria:
NeuEmot: Mitigating Neutral Label and Reclassifying False Neutrals in the 2022 FIFA World Cup via Low-Level Emotion. 578-587 - David Baumgartner, Helge Langseth, Heri Ramampiaro, Kenth Engø-Monsen:
mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites. 588-597 - Zongyi Chen, Sanchuan Guo, Liyan Shen, Xi Zhang, Zhuonan Chang:
Improving Knowledge Distillation for Federated Learning on Non-IID Data. 598-607 - Pengnan Chi, Xiaoliang Ma:
Difforecast: Image Generation Based Highway Traffic Forecasting with Diffusion Model. 608-615 - Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park:
WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data. 616-625 - Yueh-Lin Chung, Hsing-Kuo Pao:
Density-Based Prototypical Contrastive Learning on Visual Representations. 626-635 - Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu:
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. 636-645 - Tomojit Ghosh, Michael Kirby:
Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-Encoder. 646-655 - Dongyun Han, Isaac Cho:
Interactive Visualization for Smart Power Grid Efficiency and Outage Exploration. 656-661 - Yaowei Hu, Jacob Lear, Lu Zhang:
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning. 662-671 - Wanchang Jiang, Yuxin Jiang:
Adaptive Shrinkage Denoising and Sequential State Extraction Model for Vibration Event Recognition. 672-679 - Yuhui Jiang, Xingjian Lu, Wei Mao, Ying Li:
Integrating Staleness and Shapley Value Consistency for Efficient K-Asynchronous Federated Learning. 680-689 - Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar:
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. 690-699 - Yang Li, Yaying Zhang:
Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for Traffic Flow Forecasting. 700-709 - Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng:
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition. 710-717 - Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps. 718-727 - Yanhong Li, Jack Xu, David C. Anastasiu:
SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data Forecasting. 728-737 - Ling-Feng Liao, Deeksha Arya, Yoshihide Sekimoto:
Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. 738-747 - Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park:
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. 748-757 - Yintai Ma, Diego Klabjan:
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. 758-767 - Nicholas O. Malott, Philip A. Wilsey:
Scalable Homology Classification through Decomposed Euler Characteristic Curves. 768-777 - Junki Mori, Ryo Furukawa, Isamu Teranishi, Jun Sakuma:
Heterogeneous Domain Adaptation with Positive and Unlabeled Data. 778-787 - Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee:
Generalized Causal Tree for Uplift Modeling. 788-798 - Phuong Nguyen, Hiep Tran, Tuan M. V. Le:
Multi-view Deep Markov Models for Time Series Anomaly Detection. 799-808 - Hanbyeol Park, Dohee Kim, Minseop Kim, Mingyu Park, Hyerim Bae, Yunkyung Park:
A novel training mechanism for health indicator construction and remaining useful lifetime (RUL) prediction. 809-818 - Wenting Qi, Charalampos Chelmis:
Hybrid Loss for Hierarchical Multi-label Classification Network. 819-828 - Hadi Salman, Caleb Parks, Matthew Swan, John Gauch:
OrthoNets: Orthogonal Channel Attention Networks. 829-837 - Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. 838-846 - Chun-Wei Seah, Chia-Yu Hung, Yujia Hu, Hai Leong Chieu, Roy Ka-Wei Lee:
Interpretable Sock Puppet Attribution. 847-856 - Syed Attique Shah, Xiaoyang Zeng, Awais Ahmed, Shaheed Parvez, Rui Xi, Mengshu Hou:
Multi-Instance Bias Suppression for Enhanced Generalization in Breast Cancer Diagnosis : Harnessing Histopathological Big Data Insights. 857-864 - Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu:
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach. 865-874 - Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach:
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. 875-884 - Yimin Sun, Xiaobo Zhang, Zhehao Zhang, Yunyang Wu, Haihao Tang, Haonan Luo:
ABF-FNN: A new fuzzy neural network for predicting coal mine gas concentration hazard. 885-894 - Yanshen Sun, Kaiqun Fu, Chang-Tien Lu:
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. 895-904 - Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. 905-914 - Rikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, Shuichiro Haruta:
Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions. 915-924 - Sahil Tyagi, Martin Swany:
Flexible Communication for Optimal Distributed Learning over Unpredictable Networks. 925-935 - Qingtian Wang, Shuze Shi, Jiabin He, Jianlin Peng, Tingxi Liu, Renliang Weng:
IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based Action Recognition. 936-945 - Tianqi Wang, Lei Chen, Jing Gao:
A Prior-Guided Meta-Weight Network for Long-tailed Noisy Data in Item Categorization. 946-955 - Wenqi Wei, Mu Qiao, Divyesh Jadav:
GNN-Ensemble: Towards Random Decision Graph Neural Networks. 956-965 - Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou:
Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations*. 966-975 - Xueming Xu, Ruirui Zhao, Jichao Li, Jianbin Sun:
Ultra-wide Band Positioning with Signal Interference based on Two-Stream Residual Network. 976-985 - Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme:
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series. 986-995 - Peiying Zeng, Liying Jiang, Yongxuan Lai, Fan Yang:
Traffic Demand Prediction Based on Multi-dimensional Graph Convolutional Network. 996-1004 - Yong Zhang, Feng Xiong, Kai Zhang, Jiaxian Wang:
Document-Level Event Argument Extraction Based on Bidirectional Span Detection. 1005-1011 - Wang Zhang, Xin Wang, Yuhong Wu, Xingpeng Zhang, Huayi Zhan:
Enhancing Representation Learning with Label Association for Multi-Label Text Classification. 1012-1021 - Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Zhehui Yang, Yoshihide Sekimoto:
Label Freedom: Stable Diffusion for Remote Sensing Image Semantic Segmentation Data Generation. 1022-1030 - Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding:
CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting. 1031-1038 - Mohammad Abu-Shaira, Alejandro Rodriguez, Greg Speegle, Victor S. Sheng, Ishfaq Ahmad:
OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams. 1039-1046 - Leman Akoglu, Jaemin Yoo:
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities. 1047-1051 - Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier:
M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data. 1052-1058 - Vivien Cabannes:
Learning with Variational Objectives on Measures. 1059-1063 - Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh:
Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. 1064-1069 - Jo-Chun Chen, Hung-Hsuan Chen:
Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering. 1070-1075 - Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Hypergraph Neural Networks for Time-series Forecasting. 1076-1080 - Sin Cheng Ciou, Pin-Jui Chen, Elvin Y. Tseng, Yuh-Jye Lee:
Federated Learning for Sparse Principal Component Analysis. 1081-1086 - Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu:
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. 1087-1094 - Yang Gao, Ying Li, Yang Li, Zunlei Feng, Mingli Song, Xingyu Wang, Chun Chen:
Drift-aware Anomaly Detection for Non-stationary Time Series. 1095-1100 - Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan:
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification. 1101-1108 - Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan, Jean Utke:
Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. 1109-1116 - Xiao Han, Shuhan Yuan, Mohamed Trabelsi:
LogGPT: Log Anomaly Detection via GPT. 1117-1122 - Qisheng He, Ming Dong:
Transferring Lottery Tickets in Computer Vision Models: a Dynamic Pruning Approach. 1123-1128 - Qisheng He, Weisong Shi, Ming Dong:
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach. 1129-1134 - Nguyen Ho, Trinh Cong Le, Van Long Ho, Nguyen Tuong Huynh, Linh Ngo:
Causal Associations between Temporal Events. 1135-1142 - Ian Howell, Eleanor Quint, Hongfeng Yu:
Quantitatively Evaluating the Validity of Contrastive Generators for Recourse. 1143-1150 - Kai Huang, Dengzhe Liang, He Wang, Yuncheng Jiang:
Contrastive Multi-view Learning for Graph Stucture Learning. 1151-1156 - Zhe Jiang:
Deep Learning for Spatiotemporal Big Data: Opportunities and Challenges [Vision Paper]. 1157-1161 - Wenjuan Jiang, Yi Guo, Jiaojiao Fu:
Temporal Knowledge Graph Question Answering Models Enhanced with GAT. 1162-1167 - Aaditi Kapre, Shruti Kunde, Sparsh Mittal, Rekha Singhal:
RAxC: Reflexivity-based Approximate Computing techniques for efficient remote sensing. 1168-1173 - Ashish Kumar, Durga Toshniwal:
Label Hierarchy Alignment for Improved Hierarchical Text Classification. 1174-1179 - Mao-Lin Li, K. Selçuk Candan, Maria Luisa Sapino:
CTT: Causally Informed Tensor Train Decomposition. 1180-1187 - Sungsoo Lim, Diego Klabjan, Mark Shapiro:
Feature Acquisition Using Monte Carlo Tree Search. 1188-1193 - Jiahao Liu, Jiale Xu, Haijia Bao, Ya Li:
VHGN: Cooperative Multiagent Reinforcement Learning with Historical Information Graph. 1194-1199 - Haoyang Ma, Hongyu Guo:
A Hybrid Model Based on Multi-level External Knowledge for Chinese Semantic Matching. 1200-1205 - Huy Mai, Wen Huang, Wei Du, Xintao Wu:
A Robust Classifier under Missing-Not-at-Random Sample Selection Bias. 1206-1213 - Md Abu Marjan, Toshiyuki Amagasa:
CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion. 1214-1221 - Abdul Matin, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data. 1222-1229 - Usman Shuaibu Musa, Yifan Guo, Cheng Qian, Wei Yu:
Optimal sampling for Moving Object Trajectory Tracking in Smart Transportation Systems: A Transformer-based Approach. 1230-1235 - Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee:
Prompting Large Language Models for Topic Modeling. 1236-1241 - Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Ego-Network Transformer for Subsequence Classification in Time Series Data. 1242-1247 - Aziza Zhanabatyrova, Clayton Frederick Souza Leite, Yu Xiao:
Detecting and Classifying Changes in Traffic Rules using Induction Loop Data. 1248-1255 - Shaowu Zhang, Xijun Cui, Tongyue Zhang, Hongfei Lin, Liang Yang:
Humor Level Recognition Based on Prompt Learning and Contrastive Learning. 1256-1261 - Canyang Zhang, Qi Zheng, Yaying Zhang:
Spatial-Temporal Flow Holistic Interaction Graph Convolution Network for Bidirectional Traffic Flow Forecasting. 1262-1268 - Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami:
FOCAL: A Cost-Aware Video Dataset for Active Learning. 1269-1278 - M. S. Vinay, Shuhan Yuan, Xintao Wu:
Robust Fraud Detection via Supervised Contrastive Learning. 1279-1288