yusuke1997/dblp-id-title huggingface dataset:
Closed-form solution for timing analysis of process variations on SWCNT interconnect
Designing a Multi-Chiplet Manycore System using the POPSTAR Optical NoC Architecture (Invited)
On the Interconnection Complexity vs Size Trade-off in Circuit Graphs
A priori prediction of tightly clustered connections based on heuristic classification trees
Parallel vs. serial on-chip communication
The Influence of Interconnection Complexity on the FPGA CAD Flow
Interconnect-power dissipation in a microprocessor
ACM/IEEE 2017 International Workshop on System Level Interconnect Prediction, SLIP 2017, Austin, TX, USA, June 17, 2017
Modeling NoC traffic locality and energy consumption with rent's communication probability distribution
A hierarchical three-way interconnect architecture for hexagonal processors
Early wire characterization for predictable network-on-chip global interconnects
Through-silicon-via aware interconnect prediction and optimization for 3D stacked ICs
Multiband RF-interconnect for reconfigurable network-on-chip communications
Difficulty of predicting interconnect delay in a timing driven FPGA CAD flow
Limiting Interconnect Heating in Power-Driven Physical Synthesis
Gigascale integration (GSI) interconnect limits and n-tier multilevel interconnect architectural solutions (discussion session)
A charge recovery logic system bus
Efficient representation of interconnection length distributions using generating polynomials
Toward PDN resource estimation: A law of general power density
Statistical circuit optimization considering device andinterconnect process variations
Hierarchical power supply noise evaluation for early power grid design prediction
Lynx: a self-organizing wireless sensor network with commodity palmtop computers
Is probabilistic congestion estimation worthwhile?
Dealing with interconnect process variations
On-chip em-sensitive interconnect structures
Optical solutions for system-level interconnect
Prediction of interconnect pattern density distribution: derivation, validation, and applications
Multi-Die Heterogeneous FPGAs: How Balanced Should Netlist Partitioning be?
Invited Paper: The Scope and Challenges of Scaling in Advanced Technologies
Early probabilistic noise estimation for capacitively coupled interconnects
Interface optimization for improved routability in chip-package-board co-design
Refined single trunk tree: a rectilinear steiner tree generator for interconnect prediction
Worst-case noise area prediciton of on-chip power distribution network
Analyzing voltage bias and temperature induced aging effects in photonic interconnects for manycore computing
Latch Clustering for Minimizing Detection-to-Boosting Latency Toward Low-Power Resilient Circuits
2015 ACM/IEEE International Workshop on System Level Interconnect Prediction, SLIP 2015, San Francisco, CA, USA, June 6, 2015
3-2-1 contact: an experimental approach to the analysisof contacts in 45 nm and below
Topologically-Geometric Routing
Interconnect and current density stress: an introduction to electromigration-aware design
System interconnect design exploration for embedded MPSoCs
Defect tolerance for nanocomputer architecture
Efficient tiling patterns for reconfigurable gate arrays
The 5th International Workshop on System-Level Interconnect Prediction (SLIP 2003), Monterey, CA, USA, April 5-6, 2003, Proceedings
Mobile system considerations for SDRAM interface trends
Prediction of delay time for future LSI using on-chip transmission line interconnects
A 3-D FPGA wire resource prediction model validated using a 3-D placement and routing tool
Adaptable wire-length distribution with tunable occupation probability
Carbon nanotube, graphene and atomic wires as next generation interconnects: current status and future promise
RAMAN: Reinforcement Learning Inspired Algorithm for Mapping Applications onto Mesh Network-on-Chip
Channel routing for integrated optics
FPGA interconnect planning
Global interconnections in FPGAs: modeling and performance analysis
Terminal optimization analysis for functional block re-use
Routing in 2.5D FPGAs: How long should interposer lines be?
Learning-based approximation of interconnect delay and slew in signoff timing tools
Spin-Hall Assisted STT-RAM Design and Discussion
On the bound of time-domain power supply noise based on frequency-domain target impedance
Investigation of performance metrics for interconnect stack architectures
Prediction of interconnect net-degree distribution based on Rent's rule
Dealing with the spatio-temporal interactions among transient power, supply noise and timing
Energy efficient high-speed on-chip signaling in deep-submicron CMOS technology
Pathfinding for 2.5D interconnect technologies
Outlook of device and assembly technologies enabling high-performance mobile computing: IRDS view (invited)
Congestion modeling for reconfigurable inter-processor networks
Estimation of wirelength reduction for lambda-geometry vs. manhattan placement and routing
Architecture and performance evaluation of 3D CMOS-NEM FPGA
On the relevance of wire load models
Wiring layer assignments with consistent stage delays
Modeling and analysis of the system bus latency on the SoC platform
Placement rent exponent calculation methods, temporal behaviour and FPGA architecture evaluation
Are wires plannable?
Minimal-power, delay-balanced smart repeaters for interconnects in the nanometer regime
Prediction model for evaluation of reconfigurable interconnects in distributed shared-memory systems
Frontiers of timing
Perimeter-degree: a priori metric for directly measuring and homogenizing interconnection complexity in multilevel placement
A SAT-based routing algorithm for cross-referencing biochips
Global interconnect trade-off for technology over memory modules to application level: case study
Understanding metrics in logic synthesis for routability enhancement
Stochastic wire length sampling for cycle time estimation
Wirelength estimation based on rent exponents of partitioning and placement
International Workshop on System Level Interconnect Prediction, SLIP '12, San Francisco, CA, USA, June 3, 2012
Invited: Acceleration on Physical Design: Machine Learning-based Routability Optimization
Managing interconnect resources (tutorial)
OIL: a nano-photonics optical interconnect library for a new photonic networks-on-chip architecture
A Novel Evaluation Framework for Image2Text Generation
Exploring Large Language Models for Relevance Judgments in Tetun
Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024) co-located with 10th International Conference on Online Publishing (SIGIR 2024), Washington D.C., USA, July 18, 2024
Toward Automatic Relevance Judgment using Vision-Language Models for Image-Text Retrieval Evaluation
Using LLMs to Investigate Correlations of Conversational Follow-up Queries with User Satisfaction
The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework
EXAM++: LLM-based Answerability Metrics for IR Evaluation
LLMJudge: LLMs for Relevance Judgments
FENCE: Fairplay Ensuring Network Chain Entity for Real-Time Multiple ID Detection at Scale In Fantasy Sports
Modeling Email Server I/O Events As Multi-temporal Point Processes
Hetero-Rec: Optimal Deployment of Embeddings for High-Speed Recommendations
DepScan: 3D Under Vehicle Scanning System
SWAra ROOPantaran (SWAROOP) : A Tool for Transcription, Translation and Speech Synthesis
Few shot learning for cross-lingual isolated word recognition
Soil Moisture Prediction Using Deep Learning on Hyperspectral Data
An hardware accelerator design of Mobile-Net model on FPGA
DataExplorer - Computer Vision data management, exploration, curation, and modeling at scale
t-RELOAD: A REinforcement Learning-based Recommendation for Outcome-driven Application
From Wrist to World: Harnessing Wearable IMU Sensors and TinyML to Enable Smart Environment Interactions
Unsupervised Early Exit in DNNs with Multiple Exits
Uncovering Critical Products in Retail Baskets: A Predictive Modelling Approach to Increase Order Fulfilment
Conceptual Explanations of ECG Classification using Large Language Models
Identification of Causal Dependencies in Multivariate Time Series
Tab2Graph: Transforming Heterogeneous Tables as Graphs
RIDEN: Neural-based Uniform Density Histogram for Distribution Shift Detection
Trans-ARG: Predicting Antibiotic Resistance Genes with a Transformer-Based Model and Pretrained Protein Language Model
Proceedings of the 4th International Conference on AI-ML Systems, AIMLSystems 2024, Baton Rouge, Louisiana, USA, October 8-11, 2024
Word-level beam search decoding and correction algorithm (WLBS) for end-to-end ASR
Address Location Correction System for Q-commerce
Accelerating Causal Algorithms for Industrial-scale Data: A Distributed Computing Approach with Ray Framework
Proceedings of the Second International Conference on AI-ML Systems, AIMLSystems 2022, Bangalore, India, October 12-15, 2022
AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21 - 23, 2021
Generalized Weight Agnostic Neural Networks for Configurable and Continual Autonomous Systems
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning
Invited Tutorial: Human Assisted ML
Measuring Viscosity of Fluids: A Deep Learning Approach Using a CNN-RNN Architecture
A Deep Learning framework for Interoperable Machine Learning
SplitEE: Early Exit in Deep Neural Networks with Split Computing
Selective Graph Convolutional Network for Efficient Routing
GPU Implementation: Accelerating 3D-Bin Packing Problem
Health Assurance: AI Model Monitoring Platform
Live Demonstration: Real-time Gesture Recognition Using tinyRadar for Edge Computing
Real-time Social Distancing Detection System with Auto-calibration using Pose Information
TinySV: Speaker Verification in TinyML with On-device Learning
Towards Forecasting Bus Arrival Thorough A Model Based On GNN+LSTM Using GTFS and Real-time Data
Question-Answering System in Computer Science
CONRAD: Cognitive Intent Driven 5G Network Slice Planning and Design
On Handling Class Imbalance in Continual Learning based Network Intrusion Detection Systems
Bridging between Data Science and Performance Analysis: Tracing of Jupyter Notebooks
Malware Analysis and Detection
Designing a Bare Minimum Face Recognition Architecture for Bare Metal Edge Devices: An Experience Report
KG-DTA: A knowledge graph-based meta-path learning framework to predict drug-target binding affinity
Towards Accelerating Offline RL based Recommender Systems
LeafSense: A Portable, Low-Cost, Low-Power Plant Disease Diagnostic Device Using TinyML
Building a Llama2-finetuned LLM for Odia Language Utilizing Domain Knowledge Instruction Set
Tutorial: Neuro-symbolic AI for Mental Healthcare
LiBERTy: A Novel Model for Natural Language Understanding
Physics Guided Generative Learning for Domain Adaptable Data Synthesis : Progressive Fault Synthesization for Predictive Machine Maintenance
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Are you a Foodie looking for New Cookies to try out? Better not ask an LLM
Resource Constrained Neural Networks for Direction-of-Arrival Estimation in Micro-controllers
Model Uncertainty based Active Learning on Tabular Data using Boosted Trees
KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements
Machine Learning for Databases
Proceedings of the Third International Conference on AI-ML Systems, AIMLSystems 2023, Bangalore, India, October 25-28, 2023
Performance Evaluation of gcForest inferencing on multi-core CPU and FPGA
Large-Scale Entity Extraction from Enterprise Data
Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting
TinyML-Powered Gesture Wizardry: Low-Cost, Low-Power Two-Stage CNN for Static Hand Gesture Classification on MCU in Appliance Control
Managed Bidirectional Charging of Electric Fleets with Arbitrage
Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks
Demo Paper: Hetero-Vis Framework for Optimized Heterogeneous Deployment of Convolutional Neural Networks
Optimizing Convolutions for an Inference Accelerator: Case Study: Intel's NNP-I 1000 DL Compute Grid
Automated Deep Learning Model Partitioning for Heterogeneous Edge Devices
Towards AI/ML-Driven Network Traffic Engineering
Fed2Tier: A Two-Tier Federated Learning System Towards Green Computation
Targeted Upskilling Framework based on Player Mistake Context in Online Skill Gaming Platforms
Improved Sequence Predictions using Knowledge Graph Embedding for Large Language Models
Towards reducing hallucination in extracting information from financial reports using Large Language Models
Binarized-Distance Computation for performing low-power Face Recognition with optimized storage
A Hybrid Planning System for Smart Charging of Electric Fleets
CluSpa: Computation Reduction in CNN Inference by exploiting Clustering and Sparsity
Efficient Vector Store System for Python using Shared Memory
Design-Space Exploration of Systolic Array for Edge Inferencing Applications
Exploring Causality Aware Data Synthesis
Visual Perception Transformer: Robust image understanding on unseen transformations across wide-ranging dataset sizes
DEC-aided SM-OFDM: A Spatial Modulation System with Deep Learning based Error Correction
Hetero-Rec++: Modelling-based Robust and Optimal Deployment of Embeddings Recommendations
A Hybrid Approach for Offline A/B Evaluation for Item Ranking Algorithms in Recommendation Systems
How Provenance helps Quality Assurance Activities in AI/ML Systems
BOND: Efficient and Frugal DL Model Co-design for Botnet detection on IoT Gateways
Binary Convolutional Neural Network for Efficient Gesture Recognition at Edge
ChatGPT for Mental Health Applications: A study on biases
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution
Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision
Perceptually-Inspired Local Source Normalization for Adversarial Robustness
Federated On-Device Learning of Integer-Based Convolutional Neural Networks
Adapting Open-Source LLMs for Contract Drafting and Analyzing Multi-Role vs. Single-Role Behavior of ChatGPT for Synthetic Data Generation
Efficient Graph based Recommender System with Weighted Averaging of Messages
TrafficMon: A Traffic Monitoring Suite
Leveraging Prediction Confidence For Versatile Optimizations to CNNs
Applications of Generative AI in Fintech
Self Supervised LLM Customizer(SSLC): Customizing LLMs on Unlabeled Data to Enhance Contextual Question Answering
Maximizing Success Rate of Payment Routing using Non-stationary Bandits
Methodology for Quality Assurance Testing of LLM-based Multi-Agent Systems
A Word Embedding Topic Model for Robust Inference of Topics and Visualization
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones
Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit
Multi-Task Learning for massive MIMO CSI Feedback
Assessing the Impact of Upselling in online fantasy gaming
Compression of Deep Learning Models for NLP
Ensembling Deep Learning And CIELAB Color Space Model for Fire Detection from UAV images
AI Enhanced Ticket Management System for optimized Support
Keyword Augmented Retrieval: Novel framework for Information Retrieval integrated with speech interface
A Study on Tiny YOLO for Resource Constrained XRay Threat Detection
VETT: VectorDB-Enabled Transfer-Learning for Time-Series Forecasting
Unveiling User Influence: An Adaptive Algorithm for Socialness Estimation through User-Reply Semantics
Stacked Sparse Autoencoder and Machine Learning Based Anxiety Classification Using EEG Signals
TinyML Demonstration of Time-series Prediction and Vision-based Gesture Recognition
Talent Recommendation Engine with Real-Time Feedback Loop
TASCA++ : A multi-agentic tool to scalably accelerate ML pipelines
InnoGuideGPT: Integrating conversational interface and command interpretation for navigation robots
TinyML-Driven On-Device Personalized Human Activity Recognition and Auto-Deployment to Smart Bands
CryptInfer: Enabling Encrypted Inference on Skin Lesion Images for Melanoma Detection
ORCHID: Offline RL for Control of HVAC in Buildings using Historical and Low-Fidelity Simulation Data
Scarecrow - Intelligent Annotation platform for Engine Health Management
Inferring DNN layer-types through a Hardware Performance Counters based Side Channel Attack
QuickAns: A Virtual Teaching Assisstant
ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis
Class-Based Order-Independent Models of Natural Language for Bayesian Auto-Complete Inference
BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment
InuAid Chest X-rays AI Product: Respiratory diseases detection using Artificial Intelligence to significantly improve productivity and quality of diagnosis
ScripTONES: Sentiment-Conditioned Music Generation for Movie Scripts
GPU Acceleration for Markov Chain Monte Carlo Sampling
TinyML Techniques for running Machine Learning models on Edge Devices
Source-Code Similarity Measurement: Syntax Tree Fingerprinting for Automated Evaluation
Predicting Depth of Anesthesia using EEG Signals and Deep Convolution Network
CAMOT: Content Aware Multi Object Tracking
SToRM: Smart ticket resolution steps recommendation in facilities management
DNN based Adaptive User Pairing and Power Allocation to achieve α-Fairness in NOMA Systems with Imperfections in SIC
Supervised Vision-based Anomaly Detection
SecureFrameNet: A rich computing capable secure framework for deploying neural network models on edge protected system
YOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition
Federated matched averaging with information-gain based parameter sampling
Remote Attestation and Secure AI in Systems-on-Chip/Systems-in-Package
SmartShadow: Re-ID Solution for Multi-Target Multi-Camera Scenarios
Bridging the Gap: Synthetic Data Augmentation through Inversion and Distribution Matching for Few-shot Learning
Link-Adaptation for Improved Quality-of-Service in V2V Communication using Reinforcement Learning
Machine Learning Driven Performance Benchmarking for Energy Efficiency
Patch-wise Features for Blur Image Classification
Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models
Deep Learning Methods for Query Auto Completion
Efficient and verifiable responses using Retrieval Augmented Generation (RAG)
Noisy Text Data: foible of popular Transformer based NLP models
Star and Constellation Recognition using YOLO framework
Observations on LLMs for Telecom Domain: Capabilities and Limitations
Unposed: Unsupervised Pose Estimation based Product Image Recommendations
Democratic Evaluation Framework among Organizations
Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA
Acceleration-aware, Retraining-free Evolutionary Pruning for Automated Fitment of Deep Learning Models on Edge Devices
Leveraging Uncertainty for Credit Risk Estimation and Reliable Predictions in lending decision making
Rapid digital competence development through emergency remote teaching: a three-wave analysis of teacher training during COVID-19
Learning under pressure: game-based, AI-driven, and crisis-responsive pedagogies in focus of the 12th Workshop on Cloud Technologies in Education
Application of augmented reality technologies for education projects preparation
Technology of application of 3D models of electrical engineering in the performing laboratory work
Creation of open educational resources during educational practice by means of cloud technologies
Centralized information web-oriented educational environment of Ukraine
Applying digital technologies for work management of young scientists' councils
Methodology of using mobile Internet devices in the process of biology school course studying
Three-subject didactic model for teaching algorithmization and programming online
Using Learning Content Management System Moodle in Kryvyi Rih State Pedagogical University educational process
Development of an electronic system for remote assessment of students' knowledge in cloud-based learning environment
The state of ICT implementation in institutions of general secondary education: a case of Ukraine
Systematicity of students' independent work in cloud learning environment
Хмаро орієнтоване навчальне середовище загальноосвітнього навчального закладу (Cloud-oriented learning environment of secondary school)
Methodology of formation of modeling skills based on a constructive approach (on the example of GeoGebra)
Modern techniques of organizing computer support for future teachers' independent work in German language
The methodology of development of information and communication competence in teachers of the military education system applying the distance form of learning
The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects)
Сервіси середовища SageMathCloud та їх дидактичний потенціал у процесі навчання інформатичних та математичних дисциплін (Services of SageMathCloud environment and their didactic potential in learning of informatics and mathematical disciplines)
Digital competence of pedagogical university student: definition, structure and didactical conditions of formation
Integration of chatbots into the system of professional training of Masters
Cloud calculations within the optional course Optimization Problems for 10th-11th graders
Workshop Report
A content analysis software system for efficient monitoring and detection of hate speech in online media
Digital history pedagogy in higher education: a PRISMA-compliant systematic review of empirical evidence (2011-2025)
The areas of educational studies of the cloud-based learning systems
Proceedings of the 12th Workshop on Cloud Technologies in Education, CTE 2024, co-located with 6th International Conference on History, Theory and Methodology of Learning, ICHTML 2025, Kryvyi Rih, Ukraine, May 12, 2025
The didactic potential of cloud technologies in professional training of future teachers of Ukrainian language and literature
Joint Proceedings of the 10th Workshop on Cloud Technologies in Education, and 5th International Workshop on Augmented Reality in Education (CTE+AREdu 2022), Kryvyi Rih, Ukraine, May 23, 2022
Proceedings of the 9th Workshop on Cloud Technologies in Education, CTE 2021, Kryvyi Rih, Ukraine, December 17, 2021
Xcos on Web як перспективний засіб навчання моделювання технічних об'єктів бакалаврів електромеханіки (Xcos on Web as a promising learning tool for Bachelor's of Electromechanics modeling of technical objects)
The approaches to Web-based education of computer science bachelors in higher education institutions
The technique of the use of Virtual Learning Environment in the process of organizing the future teachers' terminological work by specialty
Methodological aspects of preparation of educational content on the basis of distance education platforms
Cloud technologies and learning analytics: web application for PISA results analysis and visualization
Designing a rating system based on competencies for the analysis of the University teachers' research activities
Data science: opportunities to transform education
Educational electronic platforms for STEAM-oriented learning environment at general education school
Implementation of cloud service models in training of future information technology specialists
Strengthening of e-learning at the leading Ukrainian pedagogical universities in the time of COVID-19 pandemic
Using a mobile application to teach students to measure with a micrometer during remote laboratory work
Immersive learning technology for ensuring quality education: Ukrainian university case
Unlocking the power of synergy: the joint force of cloud technologies and augmented reality in education