Activity Prediction

24 papers with code • 1 benchmarks • 2 datasets

Predict human activities in videos

ADCNet: a unified framework for predicting the activity of antibody-drug conjugates

idruglab/adcnet 17 Jan 2024

Antibody-drug conjugate (ADC) has revolutionized the field of cancer treatment in the era of precision medicine due to their ability to precisely target cancer cells and release highly effective drug.

4
17 Jan 2024

Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction

jonghyeonk/kb-modulation 14 Dec 2023

Predictive Process Monitoring (PPM) aims at leveraging historic process execution data to predict how ongoing executions will continue up to their completion.

1
14 Dec 2023

Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models

coderj-one/giraffe-bench 20 Oct 2023

Multimodal large language models (MLLMs) have shown great potential in perception and interpretation tasks, but their capabilities in predictive reasoning remain under-explored.

1
20 Oct 2023

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

chinmay5/ms_ida 31 Aug 2023

We propose a two-stage MS inflammatory disease activity prediction approach.

2
31 Aug 2023

Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

ml-jku/clamp 6 Mar 2023

Activity and property prediction models are the central workhorses in drug discovery and materials sciences, but currently they have to be trained or fine-tuned for new tasks.

77
06 Mar 2023

UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions

stergiosbamp/deep-physical-activity-prediction 30 Dec 2022

To this end, we propose UBIWEAR, an end-to-end framework for intelligent physical activity prediction, with the ultimate goal to empower data-driven goal-setting interventions.

6
30 Dec 2022

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

fangwei123456/spikingjelly 17 Nov 2022

The main streams of human activity recognition (HAR) algorithms are developed based on RGB cameras which are suffered from illumination, fast motion, privacy-preserving, and large energy consumption.

1,110
17 Nov 2022

DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction

yf-li15/DisenHCN 14 Aug 2022

In particular, we first unify the fine-grained user similarity and the complex matching between user preferences and spatiotemporal activity into a heterogeneous hypergraph.

5
14 Aug 2022

The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection

ghksdl6025/streaming_anomaly_detect 17 Mar 2022

We compare these predictive anomaly detection methods to four classical unsupervised anomaly detection approaches (such as Isolation forest and LOF) in the online setting.

2
17 Mar 2022

Meta-HAR: Federated Representation Learning for Human Activity Recognition

Chain123/Meta-HAR 31 May 2021

However, the effectiveness of federated learning for HAR is affected by the fact that each user has different activity types and even a different signal distribution for the same activity type.

27
31 May 2021