TM-vector: A Novel Forecasting Approach for Market stock movement with a Rich Representation of Twitter and Market data. - Faraz Sasani; Ramin Mousa; Ali Karkehabadi; Samin Dehbashi; Ali Mohammadi (CoRR, 2023)

Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification? - Ali Karkehabadi (CoRR, 2023)

SMOOT: Saliency Guided Mask Optimized Online Training. - Ali Karkehabadi; Houman Homayoun; Avesta Sasan (CoRR, 2023)

FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropogation. - Ali Karkehabadi; Houman Homayoun; Avesta Sasan (ACM Great Lakes Symposium on VLSI, 2024)

Optimizing Underwater IoT Routing with Multi-Criteria Decision Making and Uncertainty Weights. - Ali Karkehabadi; Mitra Bakhshi; Seyed Behnam Razavian (CoRR, 2024)

FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation. - Ali Karkehabadi; Houman Homayoun; Avesta Sasan (CoRR, 2024)

Applying Machine Learning Tools for Urban Resilience Against Floods. - Mahla Ardebili Pour; Mohammad B. Ghiasi; Ali Karkehabadi (CoRR, 2024)

Unified Gravity Loss for Robust Neural Networks Through Feature Space Optimization. - Ali Karkehabadi; Houman Homayoun; Avesta Sasan (ACM Great Lakes Symposium on VLSI, 2025)

Energy-Efficient Quantization-Aware Training with Dynamic Bit-Width Optimization. - Ali Karkehabadi; Avesta Sasan (ACM Great Lakes Symposium on VLSI, 2025)