SOTAVerified

Activity Prediction

Predict human activities in videos

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 106 papers

TitleStatusHype
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business ProcessesCode0
PDCNet: a benchmark and general deep learning framework for activity prediction of peptide-drug conjugates—0
Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data—0
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to VerificationCode5
Boltzmann Classifier: A Thermodynamic-Inspired Approach to Supervised Learning—0
Collecting Human Motion Data in Large and Occlusion-Prone Environments using Ultra-Wideband Localization—0
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights—0
Self-Explaining Neural Networks for Business Process Monitoring—0
Persistent Homology-induced Graph Ensembles for Time Series RegressionsCode0
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in ZebrafishCode2
Forecasting Whole-Brain Neuronal Activity from Volumetric Video—0
E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction—0
An Innovative Next Activity Prediction Approach Using Process Entropy and DAW-Transformer—0
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin—0
Similarity-Quantized Relative Difference Learning for Improved Molecular Activity Prediction—0
PepDoRA: A Unified Peptide Language Model via Weight-Decomposed Low-Rank Adaptation—0
E(3)-invariant diffusion model for pocket-aware peptide generation—0
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active LearningCode0
Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning—0
Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure—0
Attention Please: What Transformer Models Really Learn for Process PredictionCode0
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution—0
CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation—0
Spatio-Temporal Encoding and Decoding-Based Method for Future Human Activity Skeleton Synthesis—0
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining TasksCode0
Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data—0
D-GRIL: End-to-End Topological Learning with 2-parameter PersistenceCode0
DeepMol: An Automated Machine and Deep Learning Framework for Computational ChemistrCode2
Extreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams—0
MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling—0
SNAP: Semantic Stories for Next Activity Prediction—0
A Nonparametric Bayes Approach to Online Activity Prediction—0
ADCNet: a unified framework for predicting the activity of antibody-drug conjugatesCode1
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity PredictionCode0
Short-term prediction of construction waste transport activities using AI-Truck—0
Target-Free Compound Activity Prediction via Few-Shot Learning—0
Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language ModelsCode0
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations—0
A Discussion on Generalization in Next-Activity Prediction—0
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery—0
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR ImagesCode0
ALMERIA: Boosting pairwise molecular contrasts with scalable methods—0
Enhancing Model Learning and Interpretation Using Multiple Molecular Graph Representations for Compound Property and Activity Prediction—0
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human LanguageCode1
Syntactic Structure Processing in the Brain while Listening—0
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers—0
UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventionsCode0
Modeling Time-Series and Spatial Data for Recommendations and Other Applications—0
Random Copolymer inverse design system orienting on Accurate discovering of Antimicrobial peptide-mimetic copolymers—0
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision SensorsCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NextmAP0.19—Unverified