yusuke1997/dblp-id-title huggingface dataset:
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis
Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts
Harnessing Infant Cry for swift, cost-effective Diagnosis of Perinatal Asphyxia in low-resource settings
Learning a Partitioning Advisor with Deep Reinforcement Learning
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
A language for mathematical language management
An Activity Recognition Framework for Continuous Monitoring of Non-Steady-State Locomotion of Individuals with Parkinson's Disease
Multi-scale Deterministic Optimisation of Blended Composite Structures: Case Study of a Box-Wing
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
Beyond Dedicated-Active: A General Reliability Provisioning Framework for SFC Placement in Fog Computing
Covering points by hyperplanes and related problems
Minimising virtual machine support for concurrency
Image Clustering without Ground Truth
Relax the Non-Collusion Assumption for Multi-Server PIR
Neural network Approximations for Reaction-Diffusion Equations - Homogeneous Neumann Boundary Conditions and Long-time Integrations
Multi-Period Portfolio Optimisation Using a Regime-Switching Predictive Framework
Necessary conditions for tractability of valued CSPs
Self-Supervised Bot Play for Conversational Recommendation with Justifications
OptimShare: A Unified Framework for Privacy Preserving Data Sharing - Towards the Practical Utility of Data with Privacy
Temporal RoI Align for Video Object Recognition
A Function-Set Framework: General Properties and Applications to Modal Logic
Identifiability of direct effects from summary causal graphs
PushPush is NP-hard in 2D
SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
Why Did They #Unfollow Me? Early Detection of Follower Loss on Twitter
Influence of Image Classification Accuracy on Saliency Map Estimation
Quantum Merlin-Arthur with noisy channel
An Efficient Method of Detection and Recognition in Remote Sensing Image Based on multi-angle Region of Interests
Human-Robot Collaboration: A Non-Verbal Approach with the NAO Humanoid Robot
Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning
Phased Array Calibration based on Rotating-Element Harmonic Electric-Field Vector with Time Modulation
On Design of Distributed Beamforming for Two-Way Relay Networks
Curating Demonstrations using Online Experience
Reactive Navigation under Non-Parametric Uncertainty through Hilbert Space Embedding of Probabilistic Velocity Obstacles
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data
Context is Key: New Approaches to Neural Coherence Modeling
Heterogeneous Coexistence of Cognitive Radio Networks in TV White Space
An Initial Study of Human-Scale Blockage in sub-THz Radio Propagation with Application to Indoor Passive Localization
Deep Template Matching for Pedestrian Attribute Recognition with the Auxiliary Supervision of Attribute-wise Keypoints
Quickest Search over Brownian Channels
Material Point Methods on Unstructured Tessellations: A Stable Kernel Approach With Continuous Gradient Reconstruction
Estimating Reaction Rate Constants from Impedance Spectra: Simulating the Multistep Oxygen Evolution Reaction
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic
Applied monocular reconstruction of parametric faces with domain engineering
Mirror graphs: graph theoretical characterization of reflection arrangements and finite Coxeter groups
Transparent Checkpoint-Restart over InfiniBand
The normalized algorithmic information distance can not be approximated
Functional ISS-Driven Verification of Superscalar RISC-V Processors
Dimension-independent learning rates for high-dimensional classification problems
FD-GAN: Face-demorphing generative adversarial network for restoring accomplice's facial image
Continual VQA for Disaster Response Systems
Defending Adversarial Attacks by Correcting logits
From Attributes to Natural Language: A Survey and Foresight on Text-based Person Re-identification
Learning to Generate the "Unseen" via Part Synthesis and Composition
Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Frame-wise Cross-modal Match for Video Moment Retrieval
Studies on the Software Testing Profession
Discernment of Hubs and Clusters in Socioeconomic Networks
Multi-Timescale Gradient Sliding for Distributed Optimization
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning
3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion
Bounding the Rademacher Complexity of Fourier Neural Operators
RoBiS: Robust Binary Segmentation for High-Resolution Industrial Images
ScientoBASE: A Framework and Model for Computing Scholastic Indicators of non-local influence of Journals via Native Data Acquisition algorithms
Logic, Design & Organization of PTVD-SHAM; A Parallel Time Varying & Data Super-helical Access Memory
A Two-Stage Method for Text Line Detection in Historical Documents
XeroAlign: Zero-Shot Cross-lingual Transformer Alignment
Enhancing Recommender Systems Using Textual Embeddings from Pre-trained Language Models
Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment
Characterising Probabilistic Processes Logically
Rollover Preventive Force Synthesis at Active Suspensions in a Vehicle Performing a Severe Maneuver with Wheels Lifted off
PDRIMA: A Policy-Driven Runtime Integrity Measurement and Attestation Approach for ARM TrustZone-based TEE
miniAdapton: A Minimal Implementation of Incremental Computation in Scheme
On Consistency of Operational Transformation Approach
p-adaptive algorithms in Discontinuous Galerkin solutions to the time-domain Maxwell's equations
Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing
Universal asymptotic properties of positive functional equations with one catalytic variable
AdaSD: Adaptive Speculative Decoding for Efficient Language Model Inference
A qualitative analysis of remote patient monitoring: how a paradox mindset can support balancing emotional tensions in the design of healthcare technologies
PRIN: Pointwise Rotation-Invariant Network
DMPC: A Data-and Model-Driven Approach to Predictive Control
Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph
Mnemonic Reader for Machine Comprehension
Physical computation and compositionality
Optimal error bounds on the exponential wave integrator for the nonlinear Schrödinger equation with low regularity potential and nonlinearity
Exploring the potential of transfer learning for metamodels of heterogeneous material deformation
Methods for Accelerating Conway's Doomsday Algorithm (part 2)
Condition number for finite element discretisation of nonlocal PDE systems with applications to biology
dynoNet: a neural network architecture for learning dynamical systems
EKF-Based Fusion of Wi-Fi/LiDAR/IMU for Indoor Localization and Navigation
Improving Statistical Privacy by Subsampling
ChatGPT and Excel - trust, but verify
Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing
Evaluating AI-Driven Automated Map Digitization in QGIS
Constraint-Driven Optimal Control of Multi-Agent Systems: A Highway Platooning Case Study
EMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models
AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based Assignments
Analyzing Coherency in Facet-based Clarification Prompt Generation for Search
Contrastive Multiple Instance Learning for Weakly Supervised Person ReID
A Human Word Association based model for topic detection in social networks
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement
Trackable Agent-based Evolution Models at Wafer Scale
Sentiment Analysis for Twitter : Going Beyond Tweet Text
BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans
Localized Graph-Based Neural Dynamics Models for Terrain Manipulation
Typed compositional quantum computation with lenses
scAgent: Universal Single-Cell Annotation via a LLM Agent
Maximum Likelihood SNR Estimation of Linearly-Modulated Signals over Time-Varying Flat-Fading SIMO Channels
HCMA-UNet: A Hybrid CNN-Mamba UNet with Inter-Slice Self-Attention for Efficient Breast Cancer Segmentation
Neural Network-Based Histologic Remission Prediction In Ulcerative Colitis
The NazoNazo Benchmark: A Cost-Effective and Extensible Test of Insight-Based Reasoning in LLMs
On the Minimax Optimality of Estimating the Wasserstein Metric
Stable High-Order Cubature Formulas for Experimental Data
Simultaenous Sieves: A Deterministic Streaming Algorithm for Non-Monotone Submodular Maximization
Learning Human Cognitive Appraisal Through Reinforcement Memory Unit
Exploration in Action Space
Sample-efficient and Scalable Exploration in Continuous-Time RL
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning
Cloud Native System for LLM Inference Serving
Armadillo: An Efficient Framework for Numerical Linear Algebra
Approximate Fictitious Play for Mean Field Games
Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Report
Achilles Heel of Distributed Multi-Agent Systems
3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video
Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction
Operations-Based Planning for Placement and Sizing of Energy Storage in a Grid With a High Penetration of Renewables
"If I were in Space": Understanding and Adapting to Social Isolation through Designing Collaborative Narratives
SAM Med : A medical image annotation framework based on large vision model
Implicit regularisation in stochastic gradient descent: from single-objective to two-player games
Multi-granularity Item-based Contrastive Recommendation
Experimental Interface for Multimodal and Large Language Model Based Explanations of Educational Recommender Systems
An Auto-Stabilized Weak Galerkin Method for Elasticity Interface Problems on Nonconvex Meshes
Cookie Banners, What's the Purpose? Analyzing Cookie Banner Text Through a Legal Lens
Generative AI Framework for 3D Object Generation in Augmented Reality
Bridging the Diagnostic Divide: Classical Computer Vision and Advanced AI methods for distinguishing ITB and CD through CTE Scans
Risk-Averse Total-Reward Reinforcement Learning
Low probability states, data statistics, and entropy estimation
A topological analysis of the space of recipes
The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research
A Control and Management Network for Wireless ATM Systems
Transfer Learning from Adult to Children for Speech Recognition: Evaluation, Analysis and Recommendations
Generalisable Relational Reasoning With Comparators in Low-Dimensional Manifolds
Fuzzy Logic Based Integration of Web Contextual Linguistic Structures for Enriching Conceptual Visual Representations
MLLS: Minimum Length Link Scheduling Under Physical Interference Model
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements
An Achievability Bound for Variable-Length Stop-Feedback Coding over the Gaussian Channel
On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019
Adaptive AI-Driven Material Synthesis: Towards Autonomous 2D Materials Growth
CIBPU: A Conflict-Invisible Secure Branch Prediction Unit
Error analysis of the projected PO method with additive inflation for the partially observed Lorenz 96 model
Multi-Area Distribution System State Estimation via Distributed Tensor Completion
Exploring evolution-based & -free protein language models as protein function predictors
Multi-agent systems for chemical engineering: A review and perspective
Attacking Autonomous Driving Agents with Adversarial Machine Learning: A Holistic Evaluation with the CARLA Leaderboard
Reinforcement Learning on Encrypted Data
Improved a priori error estimates for a space-time finite element method for parabolic problems
Multi-point Feedback of Bandit Convex Optimization with Hard Constraints
Symbolic-numeric methods for improving structural analysis of differential-algebraic equation systems
How to Shrink Confidence Sets for Many Equivalent Discrete Distributions?
Towards Opinion Shaping: A Deep Reinforcement Learning Approach in Bot-User Interactions
Behavior-Targeted Attack on Reinforcement Learning with Limited Access to Victim's Policy
Integrating Soft Robotics with ROS - A hybrid pick and place arm
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
Two-stage Geometric Information Guided Image Reconstruction
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments
Online Learning to Rank with List-level Feedback for Image Filtering
DeepIPC: Deeply Integrated Perception and Control for Mobile Robot in Real Environments
Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting
Intelligent Interaction Strategies for Context-Aware Cognitive Augmentation
Vehicle-to-Grid Technology meets Packetized Energy Management: A Co-Simulation Study
A Novel Gaussian Based Similarity Measure for Clustering Customer Transactions Using Transaction Sequence Vector
RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
When to Preempt? Age of Information Minimization under Link Capacity Constraint
Can virtual staining for high-throughput screening generalize?
Recognizing internal states in AI: evidence from patterned preferences in large language models
Deployment Calculation and Analysis for a Fail-Operational Automotive Platform
Rule-based Generation of de Bruijn Sequences: Memory and Learning
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI
A geometrically aware auto-encoder for multi-texture synthesis
Finding Approximately Convex Ropes in the Plane
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions
Parallel RAM from Cyclic Circuits
Image Encryption Using Fibonacci-Lucas Transformation
Autonomous search for a diffusive source in an unknown environment
Generators and relations for n-qubit Clifford operators
An Exact Solution Path Algorithm for SLOPE and Quasi-Spherical OSCAR
DWT-GBT-SVD-based Robust Speech Steganography
SwarmUS: An open hardware and software on-board platform for swarm robotics development
Towards Probabilistic Verification of Machine Unlearning
UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection
Adjusted Haar Wavelet for Application in the Power Systems Disturbance Analysis
Sentiment Analysis for Measuring Hope and Fear from Reddit Posts During the 2022 Russo-Ukrainian Conflict
Combining and Relating Control Effects and their Semantics
Multithreaded parallelism for heterogeneous clusters of QPUs
Geometric Processing for Image-based 3D Object Modeling
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity
Lightweight Mediated Semi-Quantum Key Distribution Protocol with a Dishonest Third Party based on Bell States
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model
Three-Dimensional Diffusion-Weighted Multi-Slab MRI With Slice Profile Compensation Using Deep Energy Model
Multi-goal Rapidly Exploring Random Tree with Safety and Dynamic Constraints for UAV Cooperative Path Planning
Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands
Entity-Aware Multimodal Alignment Framework for News Image Captioning
Targeting Alignment: Extracting Safety Classifiers of Aligned LLMs
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities
Multiple Frequency Selection in DVFS-Enabled Processors to Minimize Energy Consumption
Review of deep learning in healthcare
MATE robots simplifying my work: benefits and socio-ethical implications
Real time backbone for semantic segmentation
On the tree-depth of Random Graphs
A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture
Emptiness of zero automata is decidable
Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers
The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement
Intercept Probability Analysis of
Exploratory Learning Environments for Responsible Management Education Using Lego Serious Play
Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering
SYNTHIA: Synthetic Yet Naturally Tailored Human-Inspired PersonAs
Coupling of Wind Farms with Nuclear Power Plants
A Technique for Finding Optimal Program Launch Parameters Targeting Manycore Accelerators
Chinese Character Recognition with Radical-Structured Stroke Trees
Fast conformational clustering of extensive molecular dynamics simulation data
Low-rank Similarity Measure for Role Model Extraction
A Performance Evaluation of Container Technologies on Internet of Things Devices
RDF2Vec Light - A Lightweight Approach for Knowledge Graph Embeddings
Lightweight feature encoder for wake-up word detection based on self-supervised speech representation
The BEAT-CF Causal Model: A model for guiding the design of trials and observational analyses of cystic fibrosis exacerbations
JobHop: A Large-Scale Dataset of Career Trajectories
See the Text: From Tokenization to Visual Reading
A Theory of Routing for Large-Scale Wireless Ad-Hoc Networks
BPCE: A Prototype for Co-Evolution between Business Process Variants through Configurable Process Model
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
Distance Measures for Reduced Ordering Based Vector Filters
Assessing the Local Interpretability of Machine Learning Models
Search on Secondary Attributes in Geo-Distributed Systems
Greedy Covariance Control for Stochastic Nonlinear Systems using Gaussian Process Prediction Models and the Unscented Transform
Generalized Range Moves
Numerical Integration as an Initial Value Problem
TARGET: Traffic Rule-based Test Generation for Autonomous Driving Systems
EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography
Learning More Discriminative Local Descriptors for Few-shot Learning
Seeing Clearly, Answering Incorrectly: A Multimodal Robustness Benchmark for Evaluating MLLMs on Leading Questions
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection
Complex additive geometric multilevel solvers for Helmholtz equations on spacetrees
A Lower Bounding Framework for Motion Planning amid Dynamic Obstacles in 2D
The Zhou Ordinal of Labelled Markov Processes over Separable Spaces
Throughput Maximization of Mixed FSO/RF UAV-aided Mobile Relaying with a Buffer
A Short Survey of Systematic Generalization
Edge-coloring sparse graphs with Δ colors in quasilinear time
On the Robustness of Learning in Games with Stochastically Perturbed Payoff Observations
Four-Dimensional Lie Algebras Revisited
Understanding confounding effects in linguistic coordination: an information-theoretic approach
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks
Logion: Machine Learning for Greek Philology
Residual Squeeze-and-Excitation Network for Fast Image Deraining
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
Flow-Guided Implicit Neural Representation for Motion-Aware Dynamic MRI Reconstruction
A parallel butterfly algorithm
Learning to Diversify via Weighted Kernels for Classifier Ensemble
Using Virtual Reality in Museums to Bridge the Gap Between Material Heritage and the Interpretation of Its Immaterial Context
Multi-UAV Speed Control with Collision Avoidance and Handover-aware Cell Association: DRL with Action Branching
Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer
Discourse-Aware Scientific Paper Recommendation via QA-Style Summarization and Multi-Level Contrastive Learning
Privacy-Preserving Machine Learning Using EtC Images
Efficiency of First-Order Methods for Low-Rank Tensor Recovery with the Tensor Nuclear Norm Under Strict Complementarity
Unbiased Black-Box Complexities of Jump Functions - How to Cross Large Plateaus
Design and Development of an automated Robotic Pick & Stow System for an e-Commerce Warehouse
Augmented Question-guided Retrieval (AQgR) of Indian Case Law with LLM, RAG, and Structured Summaries
Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique
Synthetic Survival Control: Extending Synthetic Controls for "When-If" Decision
Public-channel cryptography based on mutual chaos pass filters
DreaMo: Articulated 3D Reconstruction From A Single Casual Video
Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data
Democratization of Retail Trading: Can Reddit's WallStreetBets Outperform Investment Bank Analysts?
TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks
Structure-preserving Planar Simplification for Indoor Environments
Robust Few-Shot Learning with Adversarially Queried Meta-Learners
An Efficient MAC Protocol with Selective Grouping and Cooperative Sensing in Cognitive Radio Networks
Data Cartography for Detecting Memorization Hotspots and Guiding Data Interventions in Generative Models
Iterative Access Point Selection, MMSE Precoding and Power Allocation for Cell-Free Networks
DIMY: Enabling Privacy-preserving Contact Tracing
LAKAN: Landmark-assisted Adaptive Kolmogorov-Arnold Network for Face Forgery Detection
Assessing ASR Model Quality on Disordered Speech using BERTScore
Scalable Top-k Query on Information Networks with Hierarchical Inheritance Relations
Decomposition of Time Series Data of Stock Markets and its Implications for Prediction: An Application for the Indian Auto Sector
A robust collision source method for rank adaptive dynamical low-rank approximation in radiation therapy
APOLLO Blender: A Robotics Library for Visualization and Animation in Blender
Prediction with Expert Advice under Local Differential Privacy
Person re-identification based on Res2Net network
An algorithm for onset detection of linguistic segments in continuous electroencephalogram signals
Topology-Preserving Coupling of Compressible Fluids and Thin Deformables
ArcMMLU: A Library and Information Science Benchmark for Large Language Models
Permutation Encoding for Text Steganography: A Short Tutorial
Appliance-Level Monitoring with Micro-Moment Smart Plugs
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
Confidence Calibration in Deep Neural Networks through Stochastic Inferences
Resilient Global Practical Fixed-Time Cooperative Output Regulation of Uncertain Nonlinear Multi-Agent Systems Subject to Denial-of-Service Attacks
Optimal Energy Management Policies for Energy Harvesting Sensor Nodes
Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms
Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation
Frontier LLMs Still Struggle with Simple Reasoning Tasks
Estimating the Energy Footprint of Software Systems: a Primer