yusuke1997/dblp-id-title huggingface dataset:
Dynamic evolution of software processes to evolve software systems during their development
Software Process Improvement by Business Process Orientation
System dynamics modeling applied to software outsourcing decision support
Software process landscaping
Staged adoption of software product families
Experiences with conducting project postmortems: reports versus stories
Managing the complexity of SPI in small companies
A hybrid software process simulation model
Research and practice can co-exist
Accelerating CMM-based improvement programs: the accelerator model and method with experiences
Experimenting with new ways of thinking about processes
Tool support for geographically dispersed inspection teams
Heuristic optimization as a V&V tool for software process simulation models
Software process modeling for an educational software engineering simulation game
Standard based software process assessments in small companies
Evolving improvement paradigms: capability maturity models and ISO/IEC 15504 (PDTR)
Using SPI to achieve delivery objectives in e-commerce software development
The Holon Framework and Software Process Improvement: A Radiotherapy Project Case Study
The impact of turbulence on the effectiveness and efficiency of software development teams in small organizations
A System Dynamics Simulation Model for Analyzing the Stability of Software Release Plans
An experiment in building a lightweight process-centred environment supporting team software processes
Centre de Recherche Informatique de Montreal
Identification of Software Process Knowledge Management
Software process matrix: a small company SPI model
Measurement practices in financial software industry
Never alone: process work and supporting disciplines
Integrated Automotive SPICE and safety assessments
Return on Investment (ROI) from Software Process Improvement as Measured by US Industry
The Evolation of the SEI's Capacity Maturity Model for Software
Global software development: growing opportunities, ongoing challenges
MPS.BR: a successful program for software process improvement in Brazil
Process modeling across the web information infrastructure
Providing value to customers in software development through lean principles
ESI news
Formalizing cardinality-based feature models and their specialization
Practical recommendations to minimize software capability evaluation risks
SPIP Special Issue on SPW/ProSim 2006
Introduction to software process: improvement and practice
An experience in using risk management in a software process improvement programme
An evaluation of CMMI process areas for small- to medium-sized software development organisations
COTS acquisition process: incorporating business factors into COTS vendor evaluation taxonomies
Maturing experience base concepts at DaimlerChrysler
Practical guidelines for measurement-based process improvement
Managing process change in software organizations: Experience and reflection
Simulating a process strategy for large scale software development using systems dynamics
Introducing the object-oriented paradigm in a medium size software development company
Understanding software process redesign using modeling, analysis and simulation
A Design-based Model for the Reduction of Software Cycle Time
Practitioner roles in software process improvement: an analysis using grid technique
Towards mature IT services
Processes for software in safety critical systems
Software outsourcing quality achieved by global virtual collaboration
Extending Software Project Agility with New Product Development Enterprise Agility
Software process improvement in Europe: selected articles from EuroSPI 2004
Filamentary-based organic memristors for wearable neuromorphic computing systems
An organic synaptic circuit: toward flexible and biocompatible organic neuromorphic processing
Towards a generalized theory comprising digital, neuromorphic and unconventional computing
Scalable hardware architecture for real-time execution of biomimetic spiking neural networks
Physical reservoir computing for biomedical applications
Phase-space analysis of a two-section InP laser as an all-optical spiking neuron: dependency on control and design parameters
Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits
Processing IMU action recognition based on brain-inspired computing with microfabricated MEMS resonators
Neuromorphic dreaming as a pathway to efficient learning in artificial agents
Unsupervised end-to-end training with a self-defined target
General and stable emulation of finite state machines with spiking neural networks
Harnessing stochasticity for superconductive multi-layer spike-rate-coded neuromorphic networks
Knowledge distillation for spiking neural networks: aligning features and saliency
Neuromorphic model of hippocampus place cells using an oscillatory interference technique for hardware implementation
Time-frequency analysis using spiking neural network
Cycle equivalence classes, orthogonal Weingarten calculus, and the mean field theory of memristive systems
Constraints on the design of neuromorphic circuits set by the properties of neural population codes
Polarization-controlled volatile ferroelectric and capacitive switching in Sn 2 P 2 S 6
Pre-synaptic DC bias controls the plasticity and dynamics of three-terminal neuromorphic electrolyte-gated organic transistors
A dual-memory architecture for reinforcement learning on neuromorphic platforms
2022 roadmap on neuromorphic devices and applications research in China
Biskyrmion-based artificial neuron
A binary classifier based on a reconfigurable dense network of metallic nanojunctions
Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control
Holographic photonic neuron
On the sampling sparsity of analog-to-spike conversion based on leaky integrate-and-fire
Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars
P-CRITICAL: a reservoir autoregulation plasticity rule for neuromorphic hardware
Hardware optimization for photonic time-delay reservoir computer dynamics
Understanding the functional roles of modelling components in spiking neural networks
ReARTSim: an ReRAM ARray Transient Simulator with GPU optimized runtime acceleration
System model of neuromorphic sequence learning on a memristive crossbar array
Historical perspective and opportunity for computing in memory using floating-gate and resistive non-volatile computing including neuromorphic computing
3D-aCortex: an ultra-compact energy-efficient neurocomputing platform based on commercial 3D-NAND flash memories
Ferroelectric topologically configurable multilevel logic unit
The free energy principle induces neuromorphic development
Bursting dynamics in a spiking neuron with a memristive voltage-gated channel
Editorial: Focus on algorithms for neuromorphic computing
Editorial: Focus on organic materials, bio-interfacing and processing in neuromorphic computing and artificial sensory applications
Machine learning using magnetic stochastic synapses
Event driven bio-inspired attentive system for the iCub humanoid robot on SpiNNaker
Neuromorphic auditory classification based on a single dynamical electrochemical memristor
Advantages of binary stochastic synapses for hardware spiking neural networks with realistic memristors
Modularity and multitasking in neuro-memristive reservoir networks
NeuroPong: the event-based camera driven embedded neuromorphic system
High-density analog image storage in an analog-valued non-volatile memory array
Spiking neural networks compensate for weight drift in organic neuromorphic device networks
Neuromorphic place cells
Effect of biologically-motivated energy constraints on liquid state machine dynamics and classification performance
Training and synchronizing oscillator networks with Equilibrium Propagation
Neurogrid simulates cortical cell-types, active dendrites, and top-down attention
Hierarchical architectures in reservoir computing systems
Deep unsupervised learning using spike-timing-dependent plasticity
High-speed, ultra-low-power, and robust superconductive neuron with ReLU activation
Neuromorphic functionality of ferroelectric domain walls
Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces
A mixed-signal oscillatory neural network for scalable analog computations in phase domain
Long-term potentiation mechanism of biological postsynaptic activity in neuro-inspired halide perovskite memristors
Continuous adaptive nonlinear model predictive control using spiking neural networks and real-time learning
Neuromorphic control of a simulated 7-DOF arm using Loihi
Hadamard product-based in-memory computing design for floating point neural network training
Introducing 'Neuromorphic Computing and Engineering'
Towards low loss non-volatile phase change materials in mid index waveguides
Optimizing electrochemical and ferroelectric synaptic devices: from material selection to performance tuning
Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardware
Kernel heterogeneity improves sparseness of natural images representations
Simulating the filament morphology in electrochemical metallization cells
Range and angle estimation with spiking neural resonators for FMCW radar
Characterization and modeling of spiking and bursting in experimental NbO x neuron
Two-dimensional materials for artificial synapses: toward a practical application
Integration of Ag-CBRAM crossbars and Mott ReLU neurons for efficient implementation of deep neural networks in hardware
Bio-inspired event-based looming object detection for automotive collision avoidance
Efficient connectivity and intrinsic noise separation in recurrent spiking neural networks trained with e-prop
SpinONN: energy efficient brain-inspired spintronics-based Hopfield oscillatory neural network for image denoising
Skyrmion based energy-efficient straintronic physical reservoir computing
Editorial: Focus issue on 2D materials for neuromorphic computing
Neuromorphic imaging cytometry on human blood cells
Variability-aware modeling of electrochemical metallization memory cells
Two- and three-terminal HfO2-based multilevel resistive memories for neuromorphic analog synaptic elements
Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors
Quantization, training, parasitic resistance correction, and programming techniques of memristor-crossbar neural networks for edge intelligence
Nonlinear input transformations are ubiquitous in quantum reservoir computing
Optically-triggered deterministic spiking regimes in nanostructure resonant tunnelling diode-photodetectors
2D materials-based crossbar array for neuromorphic computing hardware
Efficient spatio-temporal feature clustering for large event-based datasets
Electrical spiking activity of proteinoids-ZnO colloids
Variation-resilient spike-timing-dependent plasticity in memristors using bursting neuron circuit
Accelerating spiking neural networks with parallelizable leaky integrate-and-fire neurons *
Utilizing rate-independent hysteresis for analog computing
Reliability aspects of binary vector-matrix-multiplications using ReRAM devices
An RRAM retention prediction framework using a convolutional neural network based on relaxation behavior
Fast physical reservoir computing, achieved with nonlinear interfered spin waves
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks
Mixed photonic/electronic neural network based on microLED arrays
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
In-materio computing in random networks of carbon nanotubes complexed with chemically dynamic molecules: a review
Acoustic scene analysis using analog spiking neural network
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
A cloud-edge framework for energy-efficient event-driven control: an integration of online supervised learning, spiking neural networks and local plasticity rules
Reducing reservoir computer hyperparameter dependence by external timescale tailoring
Neuromorphic cytometry: implementation on cell counting and size estimation
Two-dimensional molybdenum disulfide artificial synapse with high sensitivity
Spike-based computational primitives to reproduce neural dynamics in the parietal cortex during motor preparation
Unsupervised sparse coding-based spiking neural network for real-time spike sorting
An energy-efficient, CMOS-compatible physical reservoir node with post-fabrication tunable decay dynamics
An efficient deep neural network accelerator using controlled ferroelectric domain dynamics
Efficiency metrics for auditory neuromorphic spike encoding techniques using information theory
Hardware software co-design for leveraging STDP in a memristive neuroprocessor
Probabilistic computing with percolating nanoparticle networks using experimental data with signatures of criticality
Stochastic rounding for memory-efficient digital simulation of synaptic plasticity using 8-bit floating-point
Self-organized nanoscale networks: are neuromorphic properties conserved in realistic device geometries?
Neuromorphic computing for attitude estimation onboard quadrotors
Binary operations on neuromorphic hardware with application to linear algebraic operations and stochastic equations
Beyond classification: directly training spiking neural networks for semantic segmentation
Stochasticity invariance control in Pr 1-x Ca x MnO 3 RRAM to enable large-scale stochastic recurrent neural networks
ReSpike: residual frames-based hybrid spiking neural networks for efficient action recognition
Implementation of two-step gradual reset scheme for enhancing state uniformity of 2D hBN-based memristors for image processing
Multi-bit MRAM based high performance neuromorphic accelerator for image classification
Modulating short-term and long-term plasticity of polymer-based artificial synapses for neuromorphic computing and beyond
From 'follow the leader' to autonomous swarming: physical reservoir computing in two dimensions
Prospects of analog in-memory computing using ferroelectric tunnel junctions
An organic artificial soma for spatio-temporal pattern recognition via dendritic integration
Traces propagation: memory-efficient and scalable forward-only learning in spiking neural networks
Neuromorphic computing and engineering's coming of age
Exploiting drain-erase scheme in ferroelectric FETs for logic-in-memory
Ultrathin HfO 2 /Al 2 O 3 bilayer based reliable 1T1R RRAM electronic synapses with low power consumption for neuromorphic computing
A liquid optical memristor using photochromic effect and capillary effect
Editorial: Focus on Neuromorphic Circuits and Systems using Emerging Devices
Wandering around: a bioinspired approach to visual attention through object motion sensitivity
Spike-based computation using classical recurrent neural networks
Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing
Sub-realtime simulation of a neuronal network of natural density
Neuromorphic principles for machine olfaction
Quantized non-volatile nanomagnetic domain wall synapse based autoencoder for efficient unsupervised network anomaly detection
Brain-inspired nanophotonic spike computing: challenges and prospects
A system design perspective on neuromorphic computer processors
Performance of reservoir computing in a random network of single-walled carbon nanotubes complexed with polyoxometalate
Retinomorphic devices beyond silicon for dynamic machine vision
Skyrmion-based synaptic element with strain-mediated plasticity
Enhanced synaptic characteristics of H x WO 3 -based neuromorphic devices, achieved by current pulse control, for artificial neural networks
Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors
Editorial: Focus on disordered, self-assembled neuromorphic systems
Artificial visual neuron based on threshold switching memristors
The van der Pol physical reservoir computer
Artificial nanophotonic neuron with internal memory for biologically inspired and reservoir network computing
Tissue-like interfacing of planar electrochemical organic neuromorphic devices
Editorial: 'Bioinspired Adaptive Intelligent Robots'
Convolutional neural networks with radio-frequency spintronic nano-devices
Fluctuation-driven initialization for spiking neural network training
Tunable synaptic working memory with volatile memristive devices
Learning torsional eye movements through active efficient coding
Slax: a composable JAX library for rapid and flexible prototyping of spiking neural networks
Low-latency neuromorphic air hockey player
Self-reconfigurable multifunctional memristive nociceptor for intelligent robotics
Event-based SerDes telemetry network for distributed brain computer interfaces
Qualitative switches in single-neuron spike dynamics on neuromorphic hardware: implementation, impact on network synchronization and relevance for plasticity
Static hand gesture recognition for American sign language using neuromorphic hardware
Magnetic skyrmions and domain walls for logical and neuromorphic computing
A spiking central pattern generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards
Quantized rewiring: hardware-aware training of sparse deep neural networks
mlGeNN: accelerating SNN inference using GPU-enabled neural networks
Bio-realistic neural network implementation on Loihi 2 with Izhikevich neurons
Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications
Synthetic biology meets neuromorphic computing: towards a bio-inspired olfactory perception system
Two sparsities are better than one: unlocking the performance benefits of sparse-sparse networks
A perspective on the neuromorphic control of legged locomotion in past, present, and future insect-like robots
NCE focus issue: extreme edge computing
Tiny dLIF: a dendritic spiking neural network enabling a time-domain energy-efficient seizure detection system
End-to-end neuromorphic speech enhancement with PDM microphones *
Editorial: Focus issue on in-memory computing
Hardware-friendly implementation of physical reservoir computing with CMOS-based time-domain analog spiking neurons
Magnetic tunnel junction based implementation of spike time dependent plasticity learning for pattern recognition
A retina-inspired pathway to real-time motion prediction inside image sensors for extreme-edge intelligence
Synaptic 1/f noise injection for overfitting suppression in hardware neural networks
HfO 2 -based resistive switching memory devices for neuromorphic computing
On-chip learning of a domain-wall-synapse-crossbar-array-based convolutional neural network
Editorial: Focus issue on topological solitons for neuromorphic systems
Memristive-based in-memory computing: from device to large-scale CMOS integration
STOP: spatiotemporal orthogonal propagation for weight-threshold-leakage synergistic training of deep spiking neural networks
Learning fast while changing slow in spiking neural networks
Hardware realization of the multiply and accumulate operation on radio-frequency signals with magnetic tunnel junctions
Simulation and implementation of two-layer oscillatory neural networks for image edge detection: bidirectional and feedforward architectures
Adding numbers with spiking neural circuits on neuromorphic hardware: a building block for future hybrid systems
Noise-resilient designs and analysis for optical neural networks
Directed evolution effectively selects for DNA based physical reservoir computing networks capable of multiple tasks
Training coupled phase oscillators as a neuromorphic platform using equilibrium propagation
Massively scalable wavelength diverse integrated photonic linear neuron
Dopant network processing units: towards efficient neural network emulators with high-capacity nanoelectronic nodes
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware
Triboelectric technologies for adaptive and self-powered neuromorphic tactile sensing
A bioinspired neuromuscular system enabled by flexible electro-optical N2200 nanowire synaptic transistor
Enhancing temporal learning in recurrent spiking networks for neuromorphic applications
How fast can vanadium dioxide neuron-mimicking devices oscillate? Physical mechanisms limiting the frequency of vanadium dioxide oscillators
Continuous signal sparse encoding using analog neuromorphic variability
Benchmarking spiking neurons for linear quadratic regulator control of multi-linked pole on a cart: from single neuron to ensemble
Ferroelectric memory based on two-dimensional materials for neuromorphic computing
Multilayer magnetic skyrmion devices for spiking neural networks
Grid-graph modeling of emergent neuromorphic dynamics and heterosynaptic plasticity in memristive nanonetworks
Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware
BAM-SLDK: biologically inspired attention mechanism with spiking learnable delayed kernel synapses
Implementing the Fourier transform in a sensor: a benchmark application for neuromorphic acoustic sensing
Impact of edge defects on the synaptic characteristic of a ferromagnetic domain-wall device and on on-chip learning
Perspective on investigation of neurodegenerative diseases with neurorobotics approaches
NeuroMorse: a temporally structured dataset for neuromorphic computing
Optical spike amplitude weighting and neuromimetic rate coding using a joint VCSEL-MRR neuromorphic photonic system
Text classification in memristor-based spiking neural networks
Bioinspired smooth neuromorphic control for robotic arms
Melanin/PEDOT:PSS organic synaptic transistors: a step towards sustainable neuromorphic applications
Event encryption: rethinking privacy exposure for neuromorphic imaging
Keys to accurate feature extraction using residual spiking neural networks
Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface
2022 roadmap on neuromorphic computing and engineering
Edge to quantum: hybrid quantum-spiking neural network image classifier
Scaling neural simulations in STACS
Evolutionary 2D organic crystals for optoelectronic transistors and neuromorphic computing
Lagrange oscillatory neural networks for constraint satisfaction and optimization
Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system
Exploiting deep learning accelerators for neuromorphic workloads
Conduction and entropy analysis of a mixed memristor-resistor model for neuromorphic networks
Neuromorphic deep spiking neural networks for seizure detection
Maximizing information in neuron populations for neuromorphic spike encoding
The viability of analog-based accelerators for neuromorphic computing: a survey
Ferroelectric-based synapses and neurons for neuromorphic computing
Difficulties and approaches in enabling learning-in-memory using crossbar arrays of memristors
Emulation and modelling of semiconductor optical amplifier-based all-optical photonic integrated deep neural network with arbitrary depth
Efficient continual learning at the edge with progressive segmented training
Computational properties of multi-compartment LIF neurons with passive dendrites
Editorial: Focus issue on energy-efficient neuromorphic devices, systems and algorithms
Efficient sparse spiking auto-encoder for reconstruction, denoising and classification
Editorial: Focus issue on machine learning for neuromorphic engineering
A burst-dependent algorithm for neuromorphic on-chip learning of spiking neural networks
Closed-loop sound source localization in neuromorphic systems
Simulation-based inference for model parameterization on analog neuromorphic hardware
Designing polar textures with ultrafast neuromorphic features from atomistic simulations
Evolutionary vs imitation learning for neuromorphic control at the edge
From neuromorphic to neurohybrid: transition from the emulation to the integration of neuronal networks