| Generative Adversarial Networks An overview |
112 |
| Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection A survey |
87 |
| Using Deep Neural Networks for Inverse Problems in Imaging Beyond analytical methods |
52 |
| Transforming Energy Networks via Peer-to-Peer Energy Trading The potential of game-theoretic approaches |
45 |
| Model Compression and Acceleration for Deep Neural Networks The principles, progress, and challenges |
44 |
| Robust Subspace Learning Robust PCA, robust subspace tracking, and robust subspace recovery |
42 |
| Sparse Signal Processing for Grant-Free Massive Connectivity A future paradigm for random access protocols in the Internet of Things |
38 |
| IoT Security Techniques Based on Machine Learning How do IoT devices use AI to enhance security? |
37 |
| Learning Graphs From Data |
37 |
| Toward Millimeter-Wave Joint Radar Communications A signal processing perspective |
31 |
| Radar-Based Human-Motion Recognition With Deep Learning Promising applications for indoor monitoring |
30 |
| Connecting the Dots |
30 |
| Sparse Representation for Wireless Communications A compressive sensing approach |
27 |
| Radar and Communication Coexistence: An Overview A review of recent methods |
24 |
| Deep Learning for Understanding Faces Machines may be just as good, or better, than humans |
23 |
| Nonnegative Matrix Factorization for Signal and Data Analytics |
21 |
| Dual-Function Radar Communication Systems A solution to the spectrum congestion problem |
21 |
| From Handcrafted to Deep-Learning-Based Cancer Radiomics Challenges and opportunities |
21 |
| Cognitive Radars: On the Road to Reality Progress thus far and possibilities for the future |
19 |
| Model Selection Techniques An overview |
18 |
| The Internet of Things Secure distributed inference |
16 |
| The Promise of Radio Analytics A future paradigm for wireless positioning, tracking, and sensing |
16 |
| Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation Combining probabilistic graphical models with deep learning for structured prediction |
16 |
| Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks |
16 |
| Efficient Multisensor Localization for the Internet of Things Exploring a new class of scalable localization algorithms |
15 |
| Interference in Automotive Radar Systems Characteristics, mitigation techniques, and current and future research |
14 |
| Practical Backscatter Communication Systems for Battery-Free Internet of Things A tutorial and survey of recent research |
14 |
| The Deep Regression Bayesian Network and Its Applications Probabilistic deep learning for computer vision |
14 |
| Recent Advances in Zero-Shot Recognition Toward data-efficient understanding of visual content |
14 |
| Machine Learning for Volcano-Seismic Signals Challenges and perspectives |
13 |
| Radar Signal Processing for Sensing in Assisted Living The challenges associated with real-time implementation of emerging algorithms |
13 |
| High-Performance Automotive Radar A review of signal processing algorithms and modulation schemes |
12 |
| From Surveillance to Digital Twin Challenges and recent advances of signal processing for the industrial Internet of Things |
12 |
| Aiming for high resolution of brain networks in time and space Electroencephalography Source Connectivity |
12 |
| Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation Recent theory and fast algorithms via convex and nonconvex optimization |
11 |
| Internet of Things for Green Building Management Disruptive innovations through low-cost sensor technology and artificial intelligence |
11 |
| Security and Privacy for the Industrial Internet of Things An overview of approaches to safeguarding endpoints |
11 |
| Signal Processing for High-Throughput Satellites Challenges in new interference-limited scenarios |
11 |
| Privacy-Aware Smart Metering Progress and challenges |
10 |
| Theoretical Foundations of Deep Learning via Sparse Representations A multilayer sparse model and its connection to convolutional neural networks |
10 |
| Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques |
9 |
| CApproaches to Secure Inference in the Internet of Things Performance bounds, algorithms, and effective attacks on IoT sensor networks |
9 |
| The Rise of Radar for Autonomous Vehicles Signal processing solutions and future research directions |
9 |
| Applying Ground-Penetrating Radar and Microwave Tomography Data Processing in Cultural Heritage State of the art and future trends |
9 |
| Microlocation for Smart Buildings in the Era of the Internet of Things A survey of technologies, techniques, and approaches |
9 |
| Sub-Nyquist Radar Systems |
8 |
| Artificial Intelligence in the Rising Wave of Deep Learning The historical path and future outlook |
7 |
| Analog-to-Digital Cognitive Radio Sampling, detection, and hardware |
7 |
| Automatic Music Transcription An overview |
7 |
| Audio-Based Search and Rescue With a Drone Highlights From the IEEE Signal Processing Cup 2019 Student Competition |
7 |
