Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Recognition of multiple overlapping activities using compositional CNN-LSTM model
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments
Convolutional Neural Networks for human activity recognition using mobile sensors
Stratified Transfer Learning for Cross-domain Activity Recognition
Segmental Spatio-Temporal CNNs for Fine-grained Action Segmentation and Classification
On attention models for human activity recognition
Scene labeling with LSTM recurrent neural networks
Design of Novel Deep Learning Models for Real-time Human Activity Recognition with Mobile Phones
Region-based Activity Recognition Using Conditional GAN
Video Classification With CNNs: Using the Codec as a Spatio-Temporal Activity Sensor
Towards multimodal deep learning for activity recognition on mobile devices
Combining multiple sources of knowledge in deep CNNs for action recognition
Skeleton-based action recognition using LSTM and CNN
a one - vs - one classifier ensemble with majority voting for activity recognition .
Complex activity recognition using context-driven activity theory and activity signatures
RGB-D Camera-based Daily Living Activity Recognition
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
Deep Learning for RFID-Based Activity Recognition
Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection
Layered representations for learning and inferring office activity from multiple sensory channels
Random Forest for Malware Classification
Wnt signaling and cancer
Learned perceptual image enhancement
Wearable Activity Tracking in Car Manufacturing
A practical soft type system for scheme