yusuke1997/dblp-id-title huggingface dataset:
Evaluating Dissemination and Implementation Strategies to Develop Clinical Software
3rd IEEE/ACM International Workshop on Software Engineering for Healthcare, SEH@ICSE 2021, Madrid, Spain, June 3, 2021
Blockchains' federation for integrating distributed health data using a patient-centered approach
Automatic Classification and Entity Relation Detection in Hungarian Spinal MRI Reports
Provenance-based Trust Model for Assessing Data Quality during Clinical Decision Making
Software Development During COVID-19 Pandemic: an Analysis of Stack Overflow and GitHub
A Framework for Enabling Safe and Resilient Food Factories for Public Feeding Programs
Extending SOUP to ML Models When Designing Certified Medical Systems
Wandering and getting lost: the architecture of an app activating local communities on dementia issues
On Medical Device Cybersecurity Compliance in EU
Application of HL7 FHIR in a Microservice Architecture for Patient Navigation on Registration and Appointments
The case of Golden Jubilants: using a Prototype to support Healthcare Technology Research
Probabilistic Model Checking for Activity Recognition in Medical Serious Games
Understanding Out-of-distribution: A Perspective of Data Dynamics
Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA
I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, Virtual Workshop, December 13, 2021
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
Is the Number of Trainable Parameters All That Actually Matters?
Continuous Soft Pseudo-Labeling in ASR
Oversampling Tabular Data with Deep Generative Models: Is it worth the effort?
When Does Re-initialization Work?
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not
Text Ranking and Classification using Data Compression
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Less can be more in contrastive learning
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics
CDF Normalization for Controlling the Distribution of Hidden Nodes
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats
Problems using deep generative models for probabilistic audio source separation
Causal Inference, is just Inference: A beautifully simple idea that not everyone accepts
Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 16 December 2023, New Orleans, Louisiana, USA
On the Maximum Hessian Eigenvalue and Generalization
The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models
Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet Practice
Shape Defense
Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging
"I Can't Believe It's Not Better!" at NeurIPS Workshops, Virtual, December 12, 2020
Denoising Deep Generative Models
A case for new neural network smoothness constraints
Lempel-Ziv Networks
Self-Evaluation Improves Selective Generation in Large Language Models
How (not) to ensemble LVLMs for VQA
Challenges of Adversarial Image Augmentations
End-to-End Differentiable GANs for Text Generation
Entropic Issues in Likelihood-Based OOD Detection
The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI
Are large language models good annotators?
Can Visual Scratchpads With Diagrammatic Abstractions Augment LLM Reasoning?
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months
Nonlinear Denoising, Linear Demixing
The Curse of Depth in Kernel Regime
Further Analysis of Outlier Detection with Deep Generative Models
A study of quality and diversity in K+1 GANs
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
Filter bubbles and affective polarization in user-personalized large language model outputs
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
Unit-level surprise in neural networks
Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning
The Curious Case of Stacking Boosted Relational Dependency Networks
Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models
Minerals: using data mining to detect router misconfigurations
Identifying BGP routing table transfers
Shrink: a tool for failure diagnosis in IP networks
How to extract BGP peering information from the internet routing registry
A three-tier IDS via data mining approach
Comparison of anomaly signal quality in common detection metrics
Mining web logs to debug distant connectivity problems
Role of machine learning in configuration management of ad hoc wireless networks
ACAS: automated construction of application signatures
Authentication anomaly detection: a case study on a virtual private network
Byte me: a case for byte accuracy in traffic classification
Anemone: using end-systems as a rich network management platform
Greynets: a definition and evaluation of sparsely populated darknets
Experiences with a continuous network tracing infrastructure
Topographical proximity for mining network alarm data
Detecting mass-mailing worm infected hosts by mining DNS traffic data
SC2D: an alternative to trace anonymization
Detecting malicious network traffic using inverse distributions of packet contents
Traffic classification using clustering algorithms
Manifold learning visualization of network traffic data
SIP-based VoIP traffic behavior profiling and its applications
SVM learning of IP address structure for latency prediction
Identifying and tracking suspicious activities through IP gray space analysis
Building a prototype for network measurement virtual observatory
Forensic analysis of autonomous system reachability
Proceedings of the 1st Annual ACM Workshop on Mining Network Data, MineNet 2005, Philadelphia, Pennsylvania, USA, August 26, 2005
Real-time monitoring of SIP infrastructure using message classification
Diagnosis of TCP overlay connection failures using bayesian networks
Bayesian detection of router configuration anomalies
Toward sophisticated detection with distributed triggers
Proceedings of the 3rd Annual ACM Workshop on Mining Network Data, MineNet 2007, San Diego, California, USA, June 12, 2007
Learning-based anomaly detection in BGP updates
Fast and accurate traffic matrix measurement using adaptive cardinality counting
A markovian signature-based approach to IP traffic classification
Proceedings of the 2nd Annual ACM Workshop on Mining Network Data, MineNet 2006, Pisa, Italy, September 15, 2006
Privacy-preserving performance measurements
A first step toward understanding inter-domain routing dynamics
Making Robots See
Machine Intelligence 15, Intelligent Agents [St. Catherine's College, Oxford, UK, July 1995]
Inverting Entailment and Progol
W. S. Jevons: his Logical Machine and Work Induction and Boolean Algebra
Variations and local exceptions in inductive logic programming
Learning non-deterministic finite automata from queries and counterexamples
Behavioural clones and cognitive skill models
A Comparative Study of Classification Algorithms: Statistical, Machine Learning and Neural Network
Personalized Mail Agent Using Inductive Logic Programming
Repairs to Turing's Universal Computing Machine
PAC-learning of Preference Relations over Interpretations in Lazy Nonmonotonic Reasoning
The Discovery of Propositions in Noisy Data
An Experiment with Browsers that Learn
The Spontaneous Self-organization of an Adaptive Language
Discovery of Protein Structural Constraints in a Deductive Database using Inductive Logic Programming
Learning optimal chess strategies
Debugging for a Declarative Programming Language
Drug Design by Machine Learning
Putting knowledge rich plan representations to use
Multi-entity Models
Large heterogeneous knowledge bases
A Connectionist Approach to Numeric Law Discorvery
A Learnability Model for Universal Representations and Its Application to Top-down Induction of Decision Trees
Recent progress with BOXES
Machine Intelligence 14, Proceedings of the Fourteenth Machine Intelligence Workshop, held at Hitachi Advanced Research Laboratories, Tokyo, Japan, November 1993
Making Robots Conscious of Their Mental States
Machine Intelligence 13, Machine Intelligence and Inductive Learning, Loch Lomond, UK, 1992
Toward Incremental Knowledge Correction for Agents in Complex Environments
Utilizing Structure Information in Concept Formation
A classification of abduction: abduction for logic programming
Learning Logic Programs and Regularities from Examples by Inductive Inference
A Lecture and Two Radio Broadcasts on Machine Intelligence by Alan Turing
Tables, Graphs and Logic for Induction
A Framework for Verbalizing Unconscious Knowledge Based on Inductive Logic Programming
Deriving qualitative control for dynamic systems
A Reasoning System for Legal Analogy
Efficient algorithms for inductive learning - an application of multi-linear functions to inductive learning
Building symbolic representations of intuitive real-time skills from performance data
Controlling a steel mill with BOXES
Reacting, Planning, and Learning in an Autonomous Agent
Inductive Logic Programming With Large-Scale Unstructured Data
On dealing with dynamic utility of learned knowledge
Game Mastery and Intelligence
Developments in Computational Learning and Discovery Theory within the Framework of Elementary Formal Systems
A Generalization of the Least General Generalization
A Learning Mechanism for Logic Programs Using Dynamically Shared Substructures
Learning Perceptually Chunked Macro Operators
Adapting Good's Q Theory to the Causation of Individual Events
Legal Responsibility and Causation
A concept learning algorithm with adaptive search
Control Skill, Machine Learning and Hand-crafting in Controller Design
The Turing-Wilkinson Lecture Series on the Automatic Computing Engine
A Framework for Behavioural Cloning
The Justification of Logical Theories based on Data Compression
Machine Learning and biomolecular modelling
Regulation of human cognition and its growth
Inductively Speeding Up Logic Programs
Logic and Learning: Turing's legacy
Logic, Computers, Turing, and von Neumann
More than meets the eye: animal learning and knowledge induction
Survey of Explicit Approaches to Constrained Optimal Control
Nonlinear Predictive Control with a Gaussian Process Model
A Second-Order Cone Bounding Algorithm for Robust Minimum Variance Beamforming
Control of Yaw Rate and Sideslip in 4-Wheel Steering Cars with Actuator Constraints
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Joint Optimization of Wireless Communication and Networked Control Systems
From Feedback Control to Complexity Management: A Personal Perspective
Filtered Gaussian Processes for Learning with Large Data-Sets
Gaussian Processes: Prediction at a Noisy Input and Application to Iterative Multiple-Step Ahead Forecasting of Time-Series
Convex Cones, Lyapunov Functions, and the Stability of Switched Linear Systems
Hex: Dynamics and Probabilistic Text Entry
An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Switching and Learning in Feedback Systems, European Summer School on Multi-Agent Control, Maynooth, Ireland, September 8-10, 2003, Revised Lectures and Selected Papers
Simultaneous Localization and Surveying with Multiple Agents
Reconciliation of Inconsistencies in the Theory of Linear Systems
True Shared Memory Programming on SCI-Based Clusters
Industrial Takeup od SCI and Future Developments
Shared Memory vs Message Passing on SCI: A Case Study Using Split-C
PVM for SCI Clusters
Shared Memory Parallelization of the GROMOS96 Molecular Dynamics Code
SCI Monitoring Hardware and Software: Supporting Performance Evaluation and Debugging
Scalability of SCI Ringlets
Monitoring SCI Clusters
Low-Level SCI Protocols and Their Application to Flexible Switches
The SCI Standard and Applications of SCI
The MuSE Runtime System for SCI Clusters: A Flexible Combination of On-Stack Execution and Work Stealing
TCP/IP over SCI under LINUX
SCI: Scalable Coherent Interface, Architecture and Software for High-Performance Compute Clusters
A Shared Memory Programming Interface for SCI Clusters
Multi-User System Management on SCI Clusters
SCI Physical Layer API
Large-Scale SCI Clusters in Practice: Architecture and Performance
SCI Sockets Library
Implementing a File System Interface to SCI
Programming SCI Clusters Using Parallel CORBA
SCI Rings, Switches, and Networks for Data Acquisition Systems
SCI Prototyping for the Second Level Trigger System of the ATLAS Experiment
The TUM/SCI Adapter
Dolphin SCI Adapter Cards
Affordable Scalability Using Multi-Cubes
ScaMPI-Design and Implementation
Interfacing SCI Device Drivers to LINUX
A Comparison of Three Gigabit Technologies: SCI, Myrinet and SGI/Cray T3D
Rough sets and decision tables
On the control of concurrent systems by restrictions of the state behaviour
Transition graphs semantics and languages
On the effectiveness of some operations on algorithms
On multi-valued homomorphisms
Some results on decision trees with relations to computational trees
On the implementation of CSP mechanisms in loglan
Regular expressions for infinite trees and a standard form of automata
Rough concepts logic
Rough-sets based learning systems
Traces and semiwords
On the log-space reducibility among array languages /preliminary version/
Theories of interacting stacks
Nondeterministic Propositional Dynamic Logic with intersection is decidable
Model theory of propositional logics of programs, some open problems
Propositional dynamic logics with counters and stacks
Extension of PDL and consequence relations
Propositional calculi of term satisfiability and process logics
An equivalence between indiscernibility relations in information systems and a fragment of intuitionistic logic
From domino tilings to a new model of computation
Non-uniformity of dynamic logic - Extended abstract
Nonuniform complexity classes, decision graphs and homological properties of posets
Concatenation of program modules an algebraic approach to the semantic and implementation problems
Computation Theory - Fifth Symposium, Zaborów, Poland, December 3-8, 1984, Proceedings
A logic of indiscernibility relations
An algorithmic interface structure for pascal compilers
On learning - a rough set approach
Correctness of inconsistent theories with notions of feasibility
A methodology for improving parallel programs by adding communications
On the recognition of context-free languages
A note on selection networks
Deadlock prediction in linear systems
A Comparison of the Hybrid Resampling Techniques for Imbalanced Medical Data
Development of a Mobile Manipulator Robot for Human-Robot Collaboration
Deep Reinforcement Learning for Quantitative Portfolio Management
A Genetic Algorithm Approach to Euclidean Steiner Tree Problem
CFTracker: Object Tracking by Channel Filtering
Multi Mobile Robots Path Planning by Improved RRT* Algorithm with Right-of-Way Rule
Proceedings of the 2024 7th International Conference on Robot Systems and Applications, ICRSA 2024, Bangkok, Thailand, September 12-14, 2024
Research on Intelligent station layout optimization of air defense radar network
ICRSA 2021: 4th International Conference on Robot Systems and Applications, Chengdu, China, April 9 - 11, 2021
V-Methodology for to Design a PCB of Control for Linear Electric Actuator for a Quadruped Zoomorphic Robo
Single image defogging via Physical Model and Hyperresolution Reconstruction
Modelling the Integrated Production Scheduling and Vehicle Routing Problem
Cotton seedling counting algorithm based on semantic guidance
Monocular Vision Based Target Localization Method for Rose Picking Robot
License Plate Super-Resolution by Edge enhanced neural network
Deep Learning-Based Multimodal Intention Retrieval for Human-Robot Collaboration
Human Error Influence on the System Sensitivity of the Laser-assisted Navigation Calibration Instrument
Accurate point cloud registration algorithm based on RANSAC
Boundary segmentation of salt pile point clouds based on clustering and model fitting
Fuzzing for Deep Learning Models
Robust Cooperative Multi-UAV Search for Uncertain Targets
Research on Biped Robot Motion Control and Gait Based on CPG
Proposal on Implementation of Geometric Properties on Reference Points Reconstruction for Extrinsic Parameters Calibration of Sparse Point Cloud
End to end single image fog removal through a cycle consistent adversarial network guided by an assist network
PCA Point cloud registration algorithm based on projection similarity
Research on dynamic and static load balancing algorithm based on improved Ant colony algorithm
Design and control of a bipedal upright natural walking robot based on a simplified model of virtual legs
Soft Gripper End Effector Prototype for Fruit Handling
Sentiment Analysis of Movie Reviews Based on Sentiment Dictionary and Deep Learning Models
Integrating Intensity Information for Three-stage Lidar Loop Closure Detection
Hybrid FW control and overmodulation algorithm
A DDQN-based path planning algorithm for UAV area detection
UFNet: A Multi-scale Fusion Feature based Text Detection Method
Data Augmentation Strategies for Improving Time Series Classification Accuracy
Proceedings of the 6th International Conference on Robot Systems and Applications, ICRSA 2023, Wuhan, China, September 22-24, 2023
Load Prediction of Exhaust Gas Treatment System Based on Genetic Algorithm Optimization Neural Network
Image Segmentation by Position-Edge-Aware Network
Concept of a holistic HiL test system for autonomous vehicles in cyber-physical Traffic Systems
End-to-End Lane Detection: a Key Point Approach
Machine Learning-based predictive model for the prognosis of human papillomavirus (HPV) vaccination attrition
Doc-Former: A transformer-based document shadow denoising network
The Kinect-based robot environment perception system
Design of a mechatronic assistant in the treatment of cognitive abilities using musical stimuli for people with dementia
Motion planning of a macro-micro manipulator for flexible micromanipulation
Study on the Traveling Performance in the Diagonal Direction for the Wheel-Walking Rover
Development of a Smart IoT Safety Platform for Preventing Accidents in High-Risk Industrial Sites
A lightweight network face detection based on YOLOv5
Low-cost Ping Pong Ball Pickup Machine Based on Raspberry Pi
Design and Structure Analysis of a Prototype Industrial Robot Arm
Adaptive Neural Network Formation Control of Multi-Usvs with Unmodeled Dynamics Using Value Decomposition Reinforcement Learning
Skin Cancer Classification using Convolutional Neural Network with Autoregressive Integrated Moving Average
A Novel Human Parsing Method Driven by Multi-Scale Feature Blend Network
Building Material Counting in Warehouse Scenario Based on Multi-Dilation Rates and Attention Mechanism
Dynamically Visualizing Key Performance Indicators for Informed Business Decision-Making
Chinese News Classification Based on ERNIE and Attention Fusion Features
Event-driven sentiment analysis for stock prediction using constructed domain-specific Chinese financial sentiment lexicon
The hierarchical-distributed control system of hydraulic walking robot WLBOT
Rapid determination of lysine content in rapeseed based on NIR spectroscopy technology
Rotated YOLOv4 with Attention-wise Object Detectors in Aerial Images
Anti-Overturning Mechanism and Control Strategy In High-Speed Die Peeling-off Process
Design and Implementation of a Control System for Atmospheric Pressure Microwave Plasma Torch Based on PLC
CFTNet: Cross-Scale Feature Transfer for Lane Detection
The Impact of the Intensity of Government Intervention on the Stock price Prediction
Research on bidirectional search salt pond boundary method based on point cloud
Motion Control of Interactive Robotic Arms Based on Mixed Reality Development
YOLOv3-DSN Object Detection Algorithm Based on Depth Wise Separable Convolution
ROS-based Augmented and Virtual Reality path planning interface for industrial robotic arms: a preliminary assessment
Real-Time Robot Trajectory Correction through Computer Vision: a Welding Application in the Automotive Industry
Reversible Data Hiding in Encrypted Images Based on Block Selection and Bit-Plane Compression
An Improved Feature Selection Algorithm for Harris Hawk optimization Based on Hybrid Strategy
Bird's Nest Detection in Power Transmission Lines with Fusion of Attention and Multi-scale Features
Distributed Lasso Algorithm Based on Alternating Direction Method of Multipliers
Weakly supervised crowd counting based on Swin Transformer
A Panoramic Review of Situational Awareness Monitoring Systems
Design of an Open Source Anthropomorphic Robotic Finger for Telepresence Robot
Design and Development of Solar Cleaning Robot
A Comparative Analysis of Machine Learning Techniques for Therapeutic Warfarin Dose Prediction
Research on an obstacle detection method for autonomous obstacle avoidance test of unmanned surface vehicle
A Fuzzy Control Scheme for Asymptotic Command Tracking of Self-Balancing Robots
An embedded controller for the hydraulic walking robot WLBOT
Fast Parallel Constrained Viterbi Algorithm for Big Data with Applications to Financial Time Series
Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
Automatic visual mimicry expression analysis in interpersonal interaction
Robust Recovery of Camera Rotation from Three Frames
Person De-reidentification: A Variation-guided Identity Shift Modeling
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Multi-Task Learning by Maximizing Statistical Dependence
Spatio-temporal consistency and distributivity as qualities of features
Context and Attribute Grounded Dense Captioning
SyncSDE: A Probabilistic Framework for Diffusion Synchronization
Sliced Wasserstein Generative Models
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning
Subtly Different Facial Expression Recognition and Expression Intensity Estimation
Atlanta World: An Expectation Maximization Framework for Simultaneous Low-Level Edge Grouping and Camera Calibration in Complex Man-Made Environments
PromptHash: Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrieval
Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections
Incrementer: Transformer for Class-Incremental Semantic Segmentation with Knowledge Distillation Focusing on Old Class
Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation
RCL: Reliable Continual Learning for Unified Failure Detection
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
Frame-Recurrent Video Super-Resolution
Filter Forests for Learning Data-Dependent Convolutional Kernels
Expanding object detector's Horizon: Incremental learning framework for object detection in videos
LaTexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Learning from Synthetic Humans
Factorization for non-rigid and articulated structure using metric projections
Direct image alignment of projector-camera systems with planar surfaces
Closed-Form Training of Mahalanobis Distance for Supervised Clustering
A Generative Model for Zero Shot Learning Using Conditional Variational Autoencoders
Action Probability Calibration for Efficient Naturalistic Driving Action Localization
Authority-shift clustering: Hierarchical clustering by authority seeking on graphs