yusuke1997/dblp-id-title huggingface dataset:
The Media Inequality, Uncanny Mountain, and the Singularity is Far from Near: Iwaa and Sophia Robot versus a Real Human Being
Needs-aware Artificial Intelligence: AI that 'serves [human] needs'
A quantum active learning algorithm for sampling against adversarial attacks
DZ-TDPO: Non-Destructive Temporal Alignment for Mutable State Tracking in Long-Context Dialogue
Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation
Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients
A Central Limit Theorem for the SNR at the Wiener Filter Output for Large Dimensional Signals
Evaluating Web Content Quality via Multi-scale Features
Physics-informed Modularized Neural Network for Advanced Building Control by Deep Reinforcement Learning
Revealing the Potential of Learnable Perturbation Ensemble Forecast Model for Tropical Cyclone Prediction
StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation
Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing
Scene-Specific Trajectory Sets: Maximizing Representation in Motion Forecasting
CAI Fluency: A Framework for Cybersecurity AI Fluency
Challenges of Security and Trust of Mobile Devices as Digital Avionics Component
Zero-shot Generalization in Inventory Management: Train, then Estimate and Decide
The Parameter-Less Self-Organizing Map algorithm
Score-Based Methods for Discrete Optimization in Deep Learning
Simple and Efficient Fully-Functional Succinct Trees
Challenges and Barriers of Using Low Code Software for Machine Learning
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
Blockchain Data Analytics: A Scoping Literature Review and Directions for Future Research
Digraphs with Distinguishable Dynamics under the Multi-Agent Agreement Protocol
Understanding Visual Concepts Across Models
Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPT
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detection
Open the Data! Chuvash Datasets
Robust Behavior Cloning Via Global Lipschitz Regularization
easyGWAS: An integrated interspecies platform for performing genome-wide association studies
MuseRAG: Idea Originality Scoring At Scale
Phase retrieval via non-rigid image registration
Detecting fake accounts through Generative Adversarial Network in online social media
A Trustworthy Method for Multimodal Emotion Recognition
Structured Prompting Enables More Robust Evaluation of Language Models
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis
Sensor-Based Data Acquisition via Ubiquitous Device to Detect Muscle Strength Training Activities
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Robustifying Measurement-Based Congestion Control Algorithms
Hyperplane Arrangements and Fixed Points in Iterated PWL Neural Networks
Fundamental Limits of Coded Linear Transform
Fast Robust Monitoring for Signal Temporal Logic with Value Freezing Operators (STL*)
Undoing Causal Effects of a Causal Broadcast Channel with Cooperating Receivers using Entanglement Resources
Asynchronous Training of Mixed-Role Human Actors in a Partially-Observable Environment
Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation
Structure-aware Semantic Node Identifiers for Learning on Graphs
Accelerating scientific codes by performance and accuracy modeling
Deep geometric knowledge distillation with graphs
Realistic gossip in Trust Game on networks: the GODS model
MMS Approximations Under Additive Leveled Valuations
AstronomicAL: An interactive dashboard for visualisation, integration and classification of data using Active Learning
Hierarchical Evaluation Function: A Multi-Metric Approach for Optimizing Demand Forecasting Models
#SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm
Universal Sleep Decoder: Aligning awake and sleep neural representation across subjects
Performance Analysis of Inband FD-D2D Communications with Imperfect SI Cancellation for Wireless Video Distribution
Understanding the Security Landscape of Embedded Non-Volatile Memories: A Comprehensive Survey
Active management of battery degradation in wireless sensor network using deep reinforcement learning for group battery replacement
Legitimizing, Developing, and Sustaining Feminist HCI in East Asia: Challenges and Opportunities
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations
QWin: Enforcing Tail Latency SLO at Shared Storage Backend
A finite element scheme for an optimal control problem on steady Navier-Stokes-Brinkman equations
Audio Super Resolution using Neural Networks
Gaussian Pixel Codec Avatars: A Hybrid Representation for Efficient Rendering
Multi-Graph Convolution Network for Pose Forecasting
De-singularity Subgradient for the q -th-Powered ℓ p -Norm Weber Location Problem
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
MambaH-Fit: Rethinking Hyper-surface Fitting-based Point Cloud Normal Estimation via State Space Modelling
Studying Leaders During Times of Crisis Using Online Social Media - A COVID Case Study
Identifying Protein Co-regulatory Network Logic by Solving B-SAT Problems through Gate-based Quantum Computing
LaSER: How Learning Can Guide the Evolution of Equations
A Near-Optimal Kernel for a Coloring Problem
Multi criteria decision making approach for selecting effort estimation model
Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models
An Empirical Study of Some Selected IR Models for Bengali Monolingual Information Retrieval
Manufacturing Dispatching using Reinforcement and Transfer Learning
Landsat30-AU: A Vision-Language Dataset for Australian Landsat Imagery
Dominant Groups and Asymmetric Polarization in Generalized Quasi-Structurally Balanced Networks
Artificial intelligence techniques in inherited retinal diseases: A review
An implementation of CAD in Maple utilising problem formulation, equational constraints and truth-table invariance
Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution
A Frequency-Domain Approach for Enhanced Performance and Task Flexibility in Finite-Time ILC
#Trend Alert: How a Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election
Groovy Parallel Patterns: A Process oriented Parallelization Library
Semantic Fusion with Fuzzy-Membership Features for Controllable Language Modelling
A Deep Dive into the Distribution Function: Understanding Phase Space Dynamics with Continuum Vlasov-Maxwell Simulations
An exactly curl-free staggered semi-implicit finite volume scheme for a first order hyperbolic model of viscous flow with surface tension
Revisiting the probabilistic method of record linkage
One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection
Formal Analysis of SEU Mitigation for Early Dependability and Performability Analysis of FPGA-based Space Applications
The weight distribution of codes over finite chain rings
Acyclicity of Preferences, Nash Equilibria, and Subgame Perfect Equilibria: a Formal and Constructive Equivalence
Software Bill of Materials in Software Supply Chain Security A Systematic Literature Review
Exact L^2-distance from the limit for QuickSort key comparisons (extended abstract)
Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views
Minimum Energy Source Coding for Asymmetric Modulation with Application to RFID
A Survey on Visual Query Systems in the Web Era (extended version)
MARRS: Multimodal Reference Resolution System
Top-down Activity Representation Learning for Video Question Answering
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
Quartet: Native FP4 Training Can Be Optimal for Large Language Models
Separation of Signals Consisting of Amplitude and Instantaneous Frequency RRC Pulses Using SNR Uniform Training
Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classification
YOLOE: Real-Time Seeing Anything
Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support
Asymmetrical Siamese Network for Point Clouds Normal Estimation
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
Empathy and Hope: Resource Transfer to Model Inter-country Social Media Dynamics
Time-Efficient Evaluation and Enhancement of Adversarial Robustness in Deep Neural Networks
Synthetic Aperture Radar Image Segmentation with Quantum Annealing
Multi-Armed Bandits Meet Large Language Models
An Experimental Investigation of XML Compression Tools
Stratospheric Grid: A Wireless Power Transfer Enabled HAP Network with Integrated Generation-Grid-Load-Storage Functions
Messaging-based Intelligent Processing Unit (m-IPU) for next generation AI computing
A Multi-physics Model of Flow from Coronary Angiography: Insights into Microvascular Function
Leveraging Model Interpretability and Stability to increase Model Robustness
Distributed TD(0) with Almost No Communication
Cache oblivious storage and access heuristics for blocked matrix-matrix multiplication
FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge
The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL
A Taxonomy and Survey on eScience as a Service in the Cloud
Nested Control Co-design of a Spar Buoy Horizontal-axis Floating Offshore Wind Turbine
Contrastive Unpaired Translation using Focal Loss for Patch Classification
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification
Simulation of Derivatives Post-Trade Services using an Authoritative Data Store and the ISDA Common Domain Model
Enhancing Large Language Models'Machine Translation via Dynamic Focus Anchoring
Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL)
SOCIALMAPF: Optimal and Efficient Multi-Agent Path Finding with Strategic Agents for Social Navigation
DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification
Mobile Internet Experience: Urban vs. Rural - Saturation vs. Starving?
Physics-informed neural network for fatigue life prediction of irradiated austenitic and ferritic/martensitic steels
SpectroStream: A Versatile Neural Codec for General Audio
Generative learning for nonlinear dynamics
On the Minimal Uncompletable Word Problem
One method of storing information
DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents
Flows over time in time-varying networks
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions
Relay Aided Intelligent Reconfigurable Surfaces: Achieving the Potential Without So Many Antennas
Using Rank Aggregation for Expert Search in Academic Digital Libraries
Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
Measuring Internet Routing from the Most Valuable Points
Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies
On the Analysis of Random Linear Streaming Codes in Stochastic Channels
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
High-speed real-time single-pixel microscopy based on Fourier sampling
Immersive Analysis: Enhancing Material Inspection of X-Ray Computed Tomography Datasets in Augmented Reality
A Semi-automatic Method for Efficient Detection of Stories on Social Media
Randomized spectral co-clustering for large-scale directed networks
Regularized Distributed MPC for UAV Networks: Stabilizing Coupled Motion and Hybrid Beam Alignment
Pre-training helps Bayesian optimization too
Robust Image Watermarking using Stable Diffusion
Conditional Diffusion as Latent Constraints for Controllable Symbolic Music Generation
Topic Browsing for Research Papers with Hierarchical Latent Tree Analysis
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model
Exercises for Children with Dyslalia-Software Infrastructure
Diffy: Inductive Reasoning of Array Programs using Difference Invariants
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
When Synthetic Data Met Regulation
CourtPressGER: A German Court Decision to Press Release Summarization Dataset
Context Based Emotion Recognition using EMOTIC Dataset
Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows
Testing by C++ template metaprograms
Rediscovering the Alphabet - On the Innate Universal Grammar
Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework
Multitask Learning with Learned Task Relationships
Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy
Implementation of Multi-channel Active Noise Control based on Back-propagation Mechanism
MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image
Machine learning based disease diagnosis: A comprehensive review
In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review
Microsoft Cloud-based Digitization Workflow with Rich Metadata Acquisition for Cultural Heritage Objects
Fisher Matrix Based Fault Detection for PMUs Data in Power Grids
Segmentation of Liver Lesions with Reduced Complexity Deep Models
Ubiquitous Scaffold Learning Environment Using Problem-based Learning to Enhance Problem-solving Skills and Context Awareness
Sparse Methods for Vector Embeddings of TPC Data
Two-level overlapping Schwarz methods based on local generalized eigenproblems for Hermitian variational problems
Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia
What does a convolutional neural network recognize in the moon?
Intelligent control of a single-link flexible manipulator using sliding modes and artificial neural networks
Density Based Algorithm With Automatic Parameters Generation
Yet Another Representation of Binary Decision Trees: A Mathematical Demonstration
A Mathematical Framework for the Problem of Security for Cognition in Neurotechnology
Batch Normalization Biases Deep Residual Networks Towards Shallow Paths
Java Card for PayTv Application
Bi-Level Optimization to Enhance Intensity Modulated Radiation Therapy Planning
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
Self-Attentive Neural Collaborative Filtering
On Scale-out Deep Learning Training for Cloud and HPC
Evaluating glioma growth predictions as a forward ranking problem
Downlink Performance of Dense Antenna Deployment: To Distribute or Concentrate?
The Lipschitz Matrix: A Tool for Parameter Space Dimension Reduction
High Dimensional Causal Inference with Variational Backdoor Adjustment
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge
Neural Data-to-Text Generation with Dynamic Content Planning
Batch Group Normalization
AgriLiRa4D: A Multi-Sensor UAV Dataset for Robust SLAM in Challenging Agricultural Fields
Exploring the Attack Surface of Blockchain: A Systematic Overview
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation
Generative AI: A Pix2pix-GAN-Based Machine Learning Approach for Robust and Efficient Lung Segmentation
D-iteration: Evaluation of the Asynchronous Distributed Computation
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
Enhancing Fine Motor Skills of Wards with Special Needs Using Cluster Model of Cognition
Re-DPoctor: Real-time health data releasing with w-day differential privacy
Bases of Riemann-Roch spaces associated with arbitrary elliptic curve divisors and their application in constructing various elliptic Codes families
Proxyeconomics, An agent based model of Campbell's law in competitive societal systems
Optimal design of Piezoelectric Energy Harvesters for bridge infrastructure: Effects of Location and Traffic Intensity on Energy Production
Understanding Online Behaviors through a Temporal Lens
Enumerating minimal dominating sets in triangle-free graphs
Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer
Stone Needle: A General Multimodal Large-scale Model Framework towards Healthcare
A Hierarchical Neural Network for Sequence-to-Sequences Learning
A Step towards Automated and Generalizable Tactile Map Generation using Generative Adversarial Networks
Evolution of A4L: A Data Architecture for AI-Augmented Learning
PanNuke Dataset Extension, Insights and Baselines
On approximate equivalence of modularity, D and non-negative matrix factorization
Constructing Bio-molecular Databases on a DNA-based Computer
REBot: Reflexive Evasion Robot for Instantaneous Dynamic Obstacle Avoidance
A Novel Airborne Self-organising Architecture for 5G+ Networks
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
Optimizing Energy Storage Participation in Emerging Power Markets
Impact of Information Technology in Cyberwars
HETOCompiler: An MLIR-based crypTOgraphic Compilation Framework for HEterogeneous Devices
A Parallel Memory-efficient Epistemic Logic Program Solver: Harder, Better, Faster
Social System Inference from Noisy Observations
Realizing an m-uniform four-chromatic hypergraph with disks
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Generating Textual Adversarial Examples for Deep Learning Models: A Survey
Multi-Branch Siamese Networks with Online Selection for Object Tracking
Integer-ambiguity resolution in astronomy and geodesy
Analysis of Vehicular Safety Messaging in Cellular Networks
Uncertainty-Guided Expert-AI Collaboration for Efficient Soil Horizon Annotation
Refining embeddings with fill-tuning: data-efficient generalised performance improvements for materials foundation models
MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness
Roomsemble: Progressive web application for intuitive property search
Enhancing fractal descriptors on images by combining boundary and interior of Minkowski dilation
A Reliable Vertical Federated Learning Framework for Traffic State Estimation with Data Selection and Incentive Mechanisms
ChatGPT's financial discrimination between rich and poor - misaligned with human behavior and expectations
Utility Optimal Scheduling with a Slow Time-Scale Index-Bias for Achieving Rate Guarantees in Cellular Networks
Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
Early ICU Mortality Prediction and Survival Analysis for Respiratory Failure
Symmetry and approximability of submodular maximization problems
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization
Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference
Multiparameter Bernoulli Factories
Diversity of Expertise is Key to Scientific Impact: a Large-Scale Analysis in the Field of Computer Science
Joint Estimation of Image Representations and their Lie Invariants
Smart Meter Privacy with an Energy Harvesting Device and Instantaneous Power Constraints
Stable Bayesian Optimisation via Direct Stability Quantification
The basic reproduction number as a predictor for epidemic outbreaks in temporal networks
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning, and Optimization
LFRA-Net: A Lightweight Focal and Region-Aware Attention Network for Retinal Vessel Segmentatio
Semantic Segmentation of Colon Glands with Deep Convolutional Neural Networks and Total Variation Segmentation
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Sidelink-Assisted Data Multicasting Approach
Neural Response Generation with Meta-Words
Non-verbal Facial Action Units-based Automatic Depression Classification
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks
TOCALib: Optimal control library with interpolation for bimanual manipulation and obstacles avoidance
The Quantum Effect: A Recipe for QuantumPi
A positivity-preserving and convergent numerical scheme for the binary fluid-surfactant system
Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames
Reverse Flooding: exploiting radio interference for efficient propagation delay compensation in WSN clock synchronization
MPANet: Multi-Patch Attention For Infrared Small Target object Detection
Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient Records
Hierarchical Transformer with Spatio-Temporal Context Aggregation for Next Point-of-Interest Recommendation
AI for Sustainable Future Foods
Overview of BioASQ 2022: The tenth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Energy efficient routing in mobile ad-hoc networks for Healthcare Environments
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs
MoGU: Mixture-of-Gaussians with Uncertainty-based Gating for Time Series Forecasting
On Convergence Rate of Adaptive Multiscale Value Function Approximation For Reinforcement Learning
Eat the Cake and Have It Too: Privacy Preserving Location Aggregates in Geosocial Networks
Computational approach to multifractal music
Detection of protein-ligand binding sites with 3D segmentation
Distributed pressure matching strategy using diffusion adaptation
Story Generation and Aviation Incident Representation
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer
Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax
DAA*: Deep Angular A Star for Image-based Path Planning
Walklets: Multiscale Graph Embeddings for Interpretable Network Classification
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction
Improved Binary Artificial Bee Colony Algorithm
RobustSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image
Adaptive search area for fast motion estimation
Deeper or Wider Networks of Point Clouds with Self-attention?
HYDRA-HGR: A Hybrid Transformer-based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information
Competitions in AI - Robustly Ranking Solvers Using Statistical Resampling
Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines
Robust Deep Learning Ensemble against Deception
InFlow: Robust outlier detection utilizing Normalizing Flows
Joint Interference and User Association Optimization in Cellular Wireless Networks
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions
A unified theory of information transfer and causal relation
Streaming Local Community Detection through Approximate Conductance
Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
DiCA: A Hardware-Software Co-Design for Differential Checkpointing in Intermittently Powered Devices
McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions
Fault Handling in Large Water Networks with Online Dictionary Learning