yusuke1997/dblp-id-title huggingface dataset:
Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Drivers of Mobile Payment Acceptance: The Impact of Network Externalities
Distributed Joint Source-Channel Coding on a Multiple Access Channel with Side Information
Hidden in Plain Sight: Exploring Encrypted Channels in Android apps
SPICE-PIDE: A Methodology for Design and Optimization of Integrated Circuits
Learning an Optimally Reduced Formulation of OPF through Meta-optimization
Reranking Passages with Coarse-to-Fine Neural Retriever using List-Context Information
PRAGMA: A Profiling-Reasoned Multi-Agent Framework for Automatic Kernel Optimization
Unleash the Power of Local Representations for Few-Shot Classification
Building and Maintaining Halls of Fame over a Database
Testing Deep Neural Networks
Sharp thresholds for high-dimensional and noisy recovery of sparsity
Exploratory Testing: One Size Doesn't Fit All
Port-Hamiltonian Neural Networks with Output Error Noise Models
Exploring the Journey to Drug Overdose: Applying the Journey to Crime Framework to Drug Sales Locations and Overdose Death Locations
Conffusion: Confidence Intervals for Diffusion Models
Local failure detection and diagnosis in large sensor networks
SDP-based State Estimation of Multi-phase Active Distribution Networks using micro-PMUs
Zero-Shot Multi-Object Shape Completion
Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning
Incremental Learning for Fully Unsupervised Word Segmentation Using Penalized Likelihood and Model Selection
Long Solution Times or Low Solution Quality: On Trade-Offs in Choosing a Power Flow Formulation for the Optimal Power Shut-Off Problem
Machine Learning Based Framework for Estimation of Data Center Power Using Acoustic Side Channel
Multiscale Graph Neural Networks for Protein Residue Contact Map Prediction
Obstacle avoidance-driven controller for safety-critical aerial robots
A Novel Approach for Imputation of Missing Attribute Values for Efficient Mining of Medical Datasets - Class Based Cluster Approach
Predator Prey Scavenger Model using Holling's Functional Response of Type III and Physics-Informed Deep Neural Networks
On the estimation rate of Bayesian PINN for inverse problems
Analysis of LLMs vs Human Experts in Requirements Engineering
The ℓ ∞ -Cophenetic Metric for Phylogenetic Trees as an Interleaving Distance
Metal-Gated Junctionless Nanowire Transistors
SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection
SPICEAssistant: LLM using SPICE Simulation Tools for Schematic Design of Switched-Mode Power Supplies
SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation
Overview of FPGA deep learning acceleration based on convolutional neural network
On Computing the Hyperparameter of Extreme Learning Machines: Algorithm and Application to Computational PDEs, and Comparison with Classical and High-Order Finite Elements
Achilles, Neural Network to Predict the Gold Vs US Dollar Integration with Trading Bot for Automatic Trading
Mapping Climate Change Research via Open Repositories & AI: advantages and limitations for an evidence-based R&D policy-making
Greedy algorithm for stochastic matching is a 2-approximation
Dynamic Search for Inference-Time Alignment in Diffusion Models
Non-contact Real time Eye Gaze Mapping System Based on Deep Convolutional Neural Network
PRAC3 (Privacy, Reputation, Accountability, Consent, Credit, Compensation): Long Tailed Risks of Voice Actors in AI Data-Economy
Spatial State-Action Features for General Games
WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration
Quantifying truth and authenticity in AI-assisted candidate evaluation: A multi-domain pilot analysis
ShadowNet for Data-Centric Quantum System Learning
New error bounds for Legendre approximations of differentiable functions
Optimal deletion-robust coreset for submodular maximization
MIT-QCRI Arabic Dialect Identification System for the 2017 Multi-Genre Broadcast Challenge
GMMFormer: Gaussian-Mixture-Model based Transformer for Efficient Partially Relevant Video Retrieval
Advancing Practical Homomorphic Encryption for Federated Learning: Theoretical Guarantees and Efficiency Optimizations
Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
A universal sequence of tensors for the asymptotic rank conjecture
Non-mean-field Vicsek-type models for collective behaviour
Scalar Quantize-and-Forward for Symmetric Half-duplex Two-Way Relay Channels
LlaMADRS: Prompting Large Language Models for Interview-Based Depression Assessment
An Approximation Theory Perspective on Machine Learning
Saved You A Click: Automatically Answering Clickbait Titles
A Survey: Embedded Systems Supporting By Different Operating Systems
Class-Aware Contrastive Optimization for Imbalanced Text Classification
Excitements and Concerns in the Post-ChatGPT Era: Deciphering Public Perception of AI through Social Media Analysis
Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?
A Genetic Algorithm Meta-Heuristic for a Generalized Quadratic Assignment Problem
A Radix-M Construction for Complementary Sets
Dynamic Interval Restrictions on Action Spaces in Deep Reinforcement Learning for Obstacle Avoidance
ChatFDA: Medical Records Risk Assessment
On Maximum-Sum Matchings of Points
SGD: General Analysis and Improved Rates
You Can REST Now: Automated Specification Inference and Black-Box Testing of RESTful APIs with Large Language Models
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Compressive classification and the rare eclipse problem
Webots.HPC: A Parallel Robotics Simulation Pipeline for Autonomous Vehicles on High Performance Computing
A k-core Decomposition Framework for Graph Clustering
Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery
Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs
Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities
From which world is your graph?
On sound-based interpretation of neonatal EEG
Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain
M-Eval: A Heterogeneity-Based Framework for Multi-evidence Validation in Medical RAG Systems
Robustness of ML-Enhanced IDS to Stealthy Adversaries
KinSPEAK: Improving speech recognition for Kinyarwanda via semi-supervised learning methods
Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection
Beyond 1-WL with Local Ego-Network Encodings
Self-supervised Adaptive Pre-training of Multilingual Speech Models for Language and Dialect Identification
Video-based Sequential Bayesian Homography Estimation for Soccer Field Registration
A Fast Volumetric Capture and Reconstruction Pipeline for Dynamic Point Clouds and Gaussian Splats
A Simple Approach to Optimal CUR Decomposition
PubMed Labs: An experimental platform for improving biomedical literature search
RDDM: Practicing RAW Domain Diffusion Model for Real-world Image Restoration
Fuzzy Mixed Integer Optimization Model for Regression Approach
"My toxic trait is thinking I'll remember this": gaps in the learner experience of video tutorials for feature-rich software
Evaluating Text-to-Image Synthesis with a Conditional Fréchet Distance
Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions
Video-based Surgical Skills Assessment using Long term Tool Tracking
Decentralized Distributed Proximal Policy Optimization (DD-PPO) for High Performance Computing Scheduling on Multi-User Systems
Cortical-inspired image reconstruction via sub-Riemannian geometry and hypoelliptic diffusion
Segment Anything with Multiple Modalities
GIFT: Gradient-aware Immunization of diffusion models against malicious Fine-Tuning with safe concepts retention
A geometrically informed algebraic multigrid preconditioned iterative approach for solving high-order finite element systems
Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty
A Note on the Proposed Law for Improving the Transparency of Political Advertising in the European Union
Poisoning Attacks and Defenses in Recommender Systems: A Survey
An Interpretation of Belief Functions by means of a Probabilistic Multi-modal Logic
Estimation of 2D Velocity Model using Acoustic Signals and Convolutional Neural Networks
Forward-only Diffusion Probabilistic Models
A new approach to template banks of gravitational waves with higher harmonics: reducing matched-filtering cost by over an order of magnitude
Farsighted Probabilistic Sampling based Local Search for (Weighted) Partial MaxSAT
Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversary
Intelligent Load Balancing Systems using Reinforcement Learning System
DisCo: Disentangled Control for Referring Human Dance Generation in Real World
Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing
Texture Hallucination for Large-Scale Painting Super-Resolution
A Model for Learned Bloom Filters, and Optimizing by Sandwiching
Submission to Generic Event Boundary Detection Challenge@CVPR 2022: Local Context Modeling and Global Boundary Decoding Approach
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
ODSearch: A Fast and Resource Efficient On-device Information Retrieval for Mobile and Wearable Devices
Optimal Intelligent Control for Wind Turbulence Rejection in WECS Using ANNs and Genetic Fuzzy Approach
A universal meta-heuristic framework for influence maximization in hypergraphs
DyTTP: Trajectory Prediction with Normalization-Free Transformers
AI-Augmented Thyroid Scintigraphy for Robust Classification
Spatial Crowdsourcing Task Allocation Scheme for Massive Data with Spatial Heterogeneity
GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning
Localizing Catastrophic Forgetting in Neural Networks
Thinging for Software Engineers
Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads
Effects of empathy on the evolution of fairness in group-structured populations
Raci-Net: Ego-vehicle Odometry Estimation in Adverse Weather Conditions
iOCR: Informed Optical Character Recognition for Election Ballot Tallies
Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics - A simulation study
Estimation of Physical Parameters of Waveforms With Neural Networks
Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation
The Challenge of Diacritics in Yoruba Embeddings
Tiny-TSM: Efficiently Training a Lightweight SOTA Time Series Foundation Model
A local approach to parameter space reduction for regression and classification tasks
Pouring Sequence Prediction using Recurrent Neural Network
Apéry sets and Feng-Rao numbers over telescopic numerical semigroups
Sequential Regression Learning with Randomized Algorithms
Ranked Pairs minimizes the p -norm as p → ∞
Extracting PICO elements from RCT abstracts using 1-2gram analysis and multitask classification
2D Floor Plan Segmentation Based on Down-sampling
Comparison Study for Clonal Selection Algorithm and Genetic Algorithm
Inter-rater reliability and convergent validity of F1000Prime peer review
PAN IIT Survey on Online Education: A Report
Quasi-Periodic Parallel WaveGAN Vocoder: A Non-autoregressive Pitch-dependent Dilated Convolution Model for Parametric Speech Generation
Skip-gram word embeddings in hyperbolic space
Feature Learning with Gaussian Restricted Boltzmann Machine for Robust Speech Recognition
MORLAB - The Model Order Reduction LABoratory
DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection
Alphanetv4: Alpha Mining Model
Enhancing Class Diagram Dynamics: A Natural Language Approach with ChatGPT
A statistical-mechanical view on source coding: physical compression and data compression
Digital Sovereignty Control Framework for Military AI-based Cyber Security
Physics-Informed Neural Networks for Securing Water Distribution Systems
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches
Exploration of Recent Advances in the Field of Brain Computer Interfaces
User Association and Channel Allocation in 5G Mobile Asymmetric Multi-band Heterogeneous Networks
Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks
LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration
One-Step Late Fusion Multi-view Clustering with Compressed Subspace
Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts
FeaGPT: an End-to-End agentic-AI for Finite Element Analysis
Safety of self-assembled neuromorphic hardware
Robust Self-Supervised Convolutional Neural Network for Subspace Clustering and Classification
Critic-Actor for Average Reward MDPs with Function Approximation: A Finite-Time Analysis
Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems
Fast In-Memory XPath Search over Compressed Text and Tree Indexes
Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations
Second-Order Slepian-Wolf Source Coding for Mixed Sources
FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception
Sensitivity Analyses of Resilience-oriented Risk-averse Active Distribution Systems Planning
DeepONet for Solving PDEs: Generalization Analysis in Sobolev Training
Video Dataset for Surgical Phase, Keypoint, and Instrument Recognition in Laparoscopic Surgery (PhaKIR)
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph
Vision System Prototype for Inspection and Monitoring with a Smart Camera
FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle
The Whitham Equation with Surface Tension
CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics
Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application
Canonical Space Representation for 4D Panoptic Segmentation of Articulated Objects
Controlling the Wireless Power Transfer Mechanism of the Both-Sides Retrodirective System
A Reduced Basis Method for the Stochastic Landau-Lifshitz-Gilbert Equation
Information Theoretic Analysis of DNN-HMM Acoustic Modeling
Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning
On Probability Distributions for Trees: Representations, Inference and Learning
EmotionGIF-IITP-AINLPML: Ensemble-based Automated Deep Neural System for predicting category(ies) of a GIF response
SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing
Private Means and the Curious Incident of the Free Lunch
MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution
Discovering patterns of correlation and similarities in software project data with the Circos visualization tool
On corona of Konig-Egervary graphs
Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas
The Paradox of Doom: Acknowledging Extinction Risk Reduces the Incentive to Prevent It
Combining Machine Learning Models using combo Library
Enhancing Deep Learning Model Robustness through Metamorphic Re-Training
ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models
Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment
A Machine Learning Approach to Sensor Substitution for Non-Prehensile Manipulation
MixCo: Mix-up Contrastive Learning for Visual Representation
Optimizing Hearthstone Agents using an Evolutionary Algorithm
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Hierarchical Spatial Sum-Product Networks for action recognition in Still Images
Evolutionary optimization of the Verlet closure relation for the hard-sphere and square-well fluids
State and Scene Enhanced Prototypes for Weakly Supervised Open-Vocabulary Object Detection
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning
Dissipativity Conditions for Maximum Dynamic Loadability
Meta-learning of textual representations
Learning Implicit Neural Degradation Representation for Unpaired Image Dehazing
A Unified Spatial Framework for UAV-aided MmWave Networks
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth
Priors in Time: Missing Inductive Biases for Language Model Interpretability
Topic Modeling of Behavioral Modes Using Sensor Data
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications
Developmental tendencies in the Academic Field of Intellectual Property through the Identification of Invisible Colleges
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
Learn to Predict Equilibria via Fixed Point Networks
Towards an Automated Requirements-driven Development of Smart Cyber-Physical Systems
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds
The Other Side of Black Screen: Rethinking Interaction in Synchronous Remote Learning for Collaborative Programming
Economic Policy Uncertainty: A Review on Applications and Measurement Methods with Focus on Text Mining Methods
Multi-Modal Multi-Task Deep Learning for Autonomous Driving
Attention Is All You Need for LLM-based Code Vulnerability Localization
Regression Equilibrium in Electricity Markets
A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering
Real-time Scheduling of Building Battery Systems Under Electrical Load Uncertainty Using Dynamic Markov Decision Process
Supervised Pretraining for Material Property Prediction
DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation
Matching Patterns with Variables under Hamming Distance
Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation
A Survey of JSON-compatible Binary Serialization Specifications
An extension of the avalanche criterion in the context of c-differentials
Improving frequency response with synthetic damping available from fleets of distributed energy resources
Considerations for health care institutions training large language models on electronic health records
Entangled Graphs
Post-hoc evaluation of nodes influence in information cascades: the case of coordinated accounts
Discovering Self-Regulated Learning Patterns in Chatbot-Powered Education Environment
FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics
SUNDIALS Multiphysics+MPIManyVector Performance Testing
MiShape: 3D Shape Modelling of Mitochondria in Microscopy
Telepathology in Hematopathology Diagnostics: A Collaboration Between Ho Chi Minh City Oncology Hospital and University of Texas Health-McGovern Medical School
Spatiotemporal Fusion in Remote Sensing
Weight Optimization for Consensus Algorithms with Correlated Switching Topology
Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning
3DiFACE: Synthesizing and Editing Holistic 3D Facial Animation
Evolving Nano Particle Cancer Treatments with Multiple Particle Types
Machine Learning for a Music Glove Instrument
Machine Learning for E-mail Spam Filtering: Review, Techniques and Trends
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations
Information Theoretic Structured Generative Modeling
Streaming Anomaly Detection
Stories for Images-in-Sequence by using Visual and Narrative Components
Detection of north atlantic right whale upcalls using local binary patterns in a two-stage strategy
Peer-to-Peer Electricity Market Analysis: From Variational to Generalized Nash Equilibrium
Dynamic Event-based Optical Identification and Communication
LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification
Risk-Calibrated Affective Speech Recognition via Conformal Coverage Guarantees: A Stochastic Calibrative Framework for Emergent Uncertainty Quantification
Towards improving Christofides algorithm for half-integer TSP
Multi-Task End-to-End Training Improves Conversational Recommendation
The automatic detection of lumber anatomy in epidural injections for ultrasound guidance
Machine Learning Techniques for Identifying the Defective Patterns in Semiconductor Wafer Maps: A Survey, Empirical, and Experimental Evaluations
Super Unique Tarski is in UEOPL
Deep Learning Based Brain Tumor Segmentation: A Survey
STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks
Optimal Asset Allocation in a High Inflation Regime: a Leverage-feasible Neural Network Approach
Physics Informed Neural Networks for Simulating Radiative Transfer
Stability Constrained Optimization in High IBR-Penetrated Power Systems-Part II: Constraint Validation and Applications
A Blockchain-Based Quality Control Model for Online Collaboration Systems
Consensus-Based Set-Theoretic Control in Power Systems
Enhancing Multi-Criteria Decision Analysis with AI: Integrating Analytic Hierarchy Process and GPT-4 for Automated Decision Support
Respiratory Distress Detection from Telephone Speech using Acoustic and Prosodic Features
Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems
Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
Twitch Plays Pokemon, Machine Learns Twitch: Unsupervised Context-Aware Anomaly Detection for Identifying Trolls in Streaming Data
From Answers to Guidance: A Proactive Dialogue System for Legal Documents
Millimeter Wave Channel Measurements in a Railway Depot
EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detection
Feasibility, Architecture and Cost Considerations of Using TVWS for Rural Internet Access in 5G
Can LLMs Reason About Trust?: A Pilot Study
A Survey on Theoretical Advances of Community Detection in Networks
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks
IC always bad? : Information Cocooning as a Group Emotional Stabilization Role in Social Networks
Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning
Automated Planning Techniques for Elementary Proofs in Abstract Algebra
Optimal Oblivious Subspace Embeddings with Near-optimal Sparsity
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities
Reconstruction of Fractional Brownian Motion Signals From Its Sparse Samples Based on Compressive Sampling
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex
On the Role of Shared Entanglement
Communication-Assisted Sensing Systems: Fundamental Limits and ISAC Waveform Design
Improving Fairness and Efficiency Guarantees for Allocating Indivisible Chores
Interpretable Anomaly Detection in Cellular Networks by Learning Concepts in Variational Autoencoders
Augmented state estimation of urban settings using intrusive sequential Data Assimilation
Echoes of Humanity: Exploring the Perceived Humanness of AI Music
Development of a novel matrix-based methodology for system engineering: A case study
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human/Agent's Demonstration