Razvan C. Bunescu
According to our database1, Razvan C. Bunescu authored at least 56 papers between 2000 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Dynamic Voltage and Frequency Scaling in NoCs with Supervised and Reinforcement Learning Techniques.
IEEE Trans. Computers, 2019
From Physician Queries to Logical Forms for Efficient Exploration of Patient Data.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019
Context Dependent Semantic Parsing over Temporally Structured Data.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
IntelliNoC: a holistic design framework for energy-efficient and reliable on-chip communication for manycores.
Proceedings of the 46th International Symposium on Computer Architecture, 2019
High-performance, Energy-efficient, Fault-tolerant Network-on-Chip Design Using Reinforcement Learnin.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
The OhioT1DM Dataset For Blood Glucose Level Prediction.
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018
Bug Report Classification Using LSTM Architecture for More Accurate Software Defect Locating.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Extending the Power-Efficiency and Performance of Photonic Interconnects for Heterogeneous Multicores with Machine Learning.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018
LEAD: learning-enabled energy-aware dynamic voltage/frequency scaling in NoCs.
Proceedings of the 55th Annual Design Automation Conference, 2018
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Chord Recognition in Symbolic Music Using Semi-Markov Conditional Random Fields.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Recognition of Dynamic Hand Gestures from 3D Motion Data Using LSTM and CNN Architectures.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Using LSTMs to learn physiological models of blood glucose behavior.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-Grained Benchmark, and Feature Evaluation.
IEEE Trans. Software Eng., 2016
A Neural Greedy Model for Voice Separation in Symbolic Music.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Tone Classification in Mandarin Chinese Using Convolutional Neural Networks.
Proceedings of the Interspeech 2016, 2016
From word embeddings to document similarities for improved information retrieval in software engineering.
Proceedings of the 38th International Conference on Software Engineering, 2016
Resilient and Power-Efficient Multi-Function Channel Buffers in Network-on-Chip Architectures.
IEEE Trans. Computers, 2015
Case-Based Reasoning as a Prelude to Big Data Analysis: A Case Study.
Proceedings of the Workshop Proceedings from The Twenty-Third International Conference on Case-Based Reasoning (ICCBR 2015), 2015
Learning to rank relevant files for bug reports using domain knowledge.
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014
A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management.
Proceedings of the Modern Artificial Intelligence for Health Analytics, 2014
Word Sense Disambiguation Using Wikipedia.
Proceedings of the People's Web Meets NLP, Collaboratively Constructed Language Resources, 2013
Coarse to Fine Grained Sense Disambiguation in Wikipedia.
Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013
Sense Clustering Using Wikipedia.
Proceedings of the Recent Advances in Natural Language Processing, 2013
Multilingual Word Sense Disambiguation Using Wikipedia.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013
Blood Glucose Level Prediction Using Physiological Models and Support Vector Regression.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012
Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012
An Adaptive Clustering Model that Integrates Expert Rules and N-gram Statistics for Coreference Resolution.
Proceedings of the ECAI 2012, 2012
Sense and Reference Disambiguation in Wikipedia.
Proceedings of the COLING 2012, 2012
Automatic Detection of Excessive Glycemic Variability for Diabetes Management.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
The 4 Diabetes Support System: A Case Study in CBR Research and Development.
Proceedings of the Case-Based Reasoning Research and Development, 2011
Emerging Applications for Intelligent Diabetes Management.
Proceedings of the Twenty-Third Conference on Innovative Applications of Artificial Intelligence, 2011
Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
Learning the Relative Usefulness of Questions in Community QA.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
A Utility-Driven Approach to Question Ranking in Social QA.
Proceedings of the COLING 2010, 2010
AAAI 2008 Workshop Reports.
AI Magazine, 2009
Learning with Probabilistic Features for Improved Pipeline Models.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008
Multiple instance learning for sparse positive bags.
Proceedings of the Machine Learning, 2007
Learning to Extract Relations from the Web using Minimal Supervision.
Proceedings of the ACL 2007, 2007
Using Encyclopedic Knowledge for Named entity Disambiguation.
Proceedings of the EACL 2006, 2006
Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline.
Proceedings of the Workshop on Linking Natural Language and Biology, 2006
Mining knowledge from text using information extraction.
SIGKDD Explorations, 2005
Comparative experiments on learning information extractors for proteins and their interactions.
Artificial Intelligence in Medicine, 2005
Subsequence Kernels for Relation Extraction.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
A Shortest Path Dependency Kernel for Relation Extraction.
Proceedings of the HLT/EMNLP 2005, 2005
Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions.
Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, 2005
Collective Information Extraction with Relational Markov Networks.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Answering Complex, List and Context Questions with LCC's Question-Answering Server.
Proceedings of The Tenth Text REtrieval Conference, 2001
Text and Knowledge Mining for Coreference Resolution.
Proceedings of the Language Technologies 2001: The Second Meeting of the North American Chapter of the Association for Computational Linguistics, 2001
COREFDRAW-A Tool for Annotation and Visualization of Coreference Data.
Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001
Data-Driven Coreference Resolution.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001
The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering.
Proceedings of the Association for Computational Linguistic, 2001
FALCON: Boosting Knowledge for Answer Engines.
Proceedings of The Ninth Text REtrieval Conference, 2000