:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Sane, Parth, Agrawal, Ravindra
Format:	Preprint
Published:	2017
Subjects:	Computer Vision and Pattern Recognition Neural and Evolutionary Computing Software Engineering
Online Access:	https://arxiv.org/abs/1705.01809
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines
by: Sorokin, Lev, et al.
Published: (2024)

From Pixels to Titles: Video Game Identification by Screenshots using Convolutional Neural Networks
by: Breve, Fabricio
Published: (2023)

Combining Neuroevolution with the Search for Novelty to Improve the Generation of Test Inputs for Games
by: Feldmeier, Patric, et al.
Published: (2024)

Path Analysis for Effective Fault Localization in Deep Neural Networks
by: Hashemifar, Soroush, et al.
Published: (2023)

On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering
by: Lyons, Lauren, et al.
Published: (2025)

Modelling Open-Source Software Reliability Incorporating Swarm Intelligence-Based Techniques
by: Shatnawi, Omar
Published: (2024)

Unlocking the Secrets of Software Configuration Landscapes-Ruggedness, Accessibility, Escapability, and Transferability
by: Huang, Mingyu, et al.
Published: (2022)

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
by: Yousefizadeh, Hossein, et al.
Published: (2024)

Many-Objective Neuroevolution for Testing Games
by: Feldmeier, Patric, et al.
Published: (2025)

Socialz: Multi-Feature Social Fuzz Testing
by: Zanartu, Francisco, et al.
Published: (2023)

Autonomous Driving with Spiking Neural Networks
by: Zhu, Rui-Jie, et al.
Published: (2024)

Event-Driven Learning for Spiking Neural Networks
by: Wei, Wenjie, et al.
Published: (2024)

Spiking Neural Network as Adaptive Event Stream Slicer
by: Cao, Jiahang, et al.
Published: (2024)

Understanding the Role of Pathways in a Deep Neural Network
by: Lyu, Lei, et al.
Published: (2024)

Memory-Free and Parallel Computation for Quantized Spiking Neural Networks
by: Zhang, Dehao, et al.
Published: (2025)

Integer Binary-Range Alignment Neuron for Spiking Neural Networks
by: Ye, Binghao, et al.
Published: (2025)

Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
by: Yang, Jingjun, et al.
Published: (2025)

Frozen Backpropagation: Relaxing Weight Symmetry in Deep Spiking Neural Networks
by: Goupy, Gaspard, et al.
Published: (2025)

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
by: Cheng, Hao, et al.
Published: (2023)

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network
by: Wang, Ziqing, et al.
Published: (2024)

SU-YOLO: Spiking Neural Network for Efficient Underwater Object Detection
by: Li, Chenyang, et al.
Published: (2025)

TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
by: Zhou, Deming, et al.
Published: (2025)

Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation
by: Kang, Donghwa, et al.
Published: (2025)

SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks
by: Shan, Yimeng, et al.
Published: (2025)

Reliable Brain Tumor Segmentation Based on Spiking Neural Networks with Efficient Training
by: Ghiardelli, Aurora Pia, et al.
Published: (2026)

Revisiting Direct Encoding: Learnable Temporal Dynamics for Static Image Spiking Neural Networks
by: He, Huaxu
Published: (2025)

A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling
by: Shaeri, Pouya, et al.
Published: (2025)

Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling
by: Safa, Ali, et al.
Published: (2024)

A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks
by: Khosrowshahli, Rasa, et al.
Published: (2025)

GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network
by: Groenen, Stijn, et al.
Published: (2025)

STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks
by: Gao, Haoran, et al.
Published: (2024)

Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient
by: Kook, Hyunho, et al.
Published: (2025)

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks
by: Neumeier, Michael, et al.
Published: (2025)

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
by: Qian, Yuanbin, et al.
Published: (2025)

Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition
by: Wang, Yang, et al.
Published: (2024)

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
by: Yao, Man, et al.
Published: (2024)

SpinalNet: Deep Neural Network with Gradual Input
by: Kabir, H M Dipu, et al.
Published: (2020)

LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
by: van Stein, Niki, et al.
Published: (2026)

Neural Particle Automata: Learning Self-Organizing Particle Dynamics
by: Kim, Hyunsoo, et al.
Published: (2026)

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
by: Wang, Xiao, et al.
Published: (2023)