SOTAVerified

Activity Prediction

Predict human activities in videos

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 106 papers

TitleStatusHype
Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing—0
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers—0
Syntactic Structure Processing in the Brain while Listening—0
Target-Free Compound Activity Prediction via Few-Shot Learning—0
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction—0
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution—0
Tri-axial Self-Attention for Concurrent Activity Recognition—0
Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data—0
VDDB: a comprehensive resource and machine learning platform for antiviral drug discovery—0
Event Log Sampling for Predictive Monitoring—0
Extreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams—0
Forecasting Whole-Brain Neuronal Activity from Volumetric Video—0
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction—0
Goal-Oriented Next Best Activity Recommendation using Reinforcement Learning—0
GPU Activity Prediction using Representation Learning—0
Graph Memory Networks for Molecular Activity Prediction—0
HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction—0
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks—0
Knowledge transfer for surgical activity prediction—0
Learning to SMILE(S)—0
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin—0
Macau: Scalable Bayesian Multi-relational Factorization with Side Information using MCMC—0
MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling—0
Modeling Time-Series and Spatial Data for Recommendations and Other Applications—0
Molecular activity prediction using graph convolutional deep neural network considering distance on a molecular graph—0
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition—0
Multi-Level Sequence GAN for Group Activity Recognition—0
Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data—0
Multithreshold Entropy Linear Classifier—0
Multivariate Regression with Calibration—0
Novel fuzzy approach to Antimicrobial Peptide Activity Prediction: A tale of limited and imbalanced data that models won’t hear—0
PDCNet: a benchmark and general deep learning framework for activity prediction of peptide-drug conjugates—0
PepDoRA: A Unified Peptide Language Model via Weight-Decomposed Low-Rank Adaptation—0
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining TasksCode0
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health ClassificationCode0
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active LearningCode0
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business ProcessesCode0
Persistent Homology-induced Graph Ensembles for Time Series RegressionsCode0
Glimpse Clouds: Human Activity Recognition from Unstructured Feature PointsCode0
Molecular De Novo Design through Deep Reinforcement LearningCode0
Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR InhibitorsCode0
UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventionsCode0
Group Activity Prediction with Sequential Relational Anticipation ModelCode0
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR ImagesCode0
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity PredictionCode0
Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language ModelsCode0
INFER: INtermediate representations for FuturE pRedictionCode0
Ionospheric activity prediction using convolutional recurrent neural networksCode0
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity PredictionCode0
The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NextmAP0.19—Unverified