Claudiu Cristian Musat

Affiliations:
  • AI Lab, Swisscom AG, Lausanne, Switzerland


According to our database1, Claudiu Cristian Musat authored at least 58 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Representing Online Handwriting for Recognition in Large Vision-Language Models.
CoRR, 2024

InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write.
CoRR, 2024

2023
DSS: Synthesizing Long Digital Ink Using Data Augmentation, Style Encoding and Split Generation.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Character Queries: A Transformer-Based Approach to On-line Handwritten Character Segmentation.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Sampling and Ranking for Digital Ink Generation on a Tight Computational Budget.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022
Inkorrect: Online Handwriting Spelling Correction.
CoRR, 2022

2021
Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts.
CoRR, 2021

OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based Fingerprinting.
CoRR, 2021

Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Addressing fairness in classification with a model-agnostic multi-objective algorithm.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Momentum-based Gradient Methods in Multi-Objective Recommendation.
Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context.
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Interacting with Explanations through Critiquing.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-Dimensional Explanation of Target Variables from Documents.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Benefiting from multitask learning to improve single image super-resolution.
Neurocomputing, 2020

Momentum-based Gradient Methods in Multi-objective Recommender Systems.
CoRR, 2020

Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution.
CoRR, 2020

T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing.
CoRR, 2020

Fast Cross-domain Data Augmentation through Neural Sentence Editing.
CoRR, 2020

Multi-Gradient Descent for Multi-Objective Recommender Systems.
CoRR, 2020

A Swiss German Dictionary: Variation in Speech and Writing.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Evaluating The Search Phase of Neural Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Multi-Dimensional Explanation of Reviews.
CoRR, 2019

Expanding the Text Classification Toolbox with Cross-Lingual Embeddings.
CoRR, 2019

Structure Tree-LSTM: Structure-aware Attentional Document Encoders.
CoRR, 2019

Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling.
Proceedings of the 6th Swiss Conference on Data Science, 2019

Overcoming Multi-model Forgetting.
Proceedings of the 36th International Conference on Machine Learning, 2019

Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation.
CoRR, 2018

Diverse Beam Search for Increased Novelty in Abstractive Summarization.
CoRR, 2018

GitGraph - Architecture Search Space Creation through Frequent Computational Subgraph Mining.
CoRR, 2018

EmbedRank: Unsupervised Keyphrase Extraction using Sentence Embeddings.
CoRR, 2018

Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

GitGraph - from Computational Subgraphs to Smaller Architecture Search Spaces.
Proceedings of the 6th International Conference on Learning Representations, 2018

Embedding Individual Table Columns for Resilient SQL Chatbots.
Proceedings of the 2nd International Workshop on Search-Oriented Conversational AI, 2018

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Churn Intent Detection in Multilingual Chatbot Conversations and Social Media.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017
Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2015
Personalizing Product Rankings Using Collaborative Filtering on Opinion-Derived Topic Profiles.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Acquiring commonsense knowledge for sentiment analysis using human computation.
Proceedings of the 23rd International World Wide Web Conference, 2014

EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Semi-Supervised Method for Multi-category Emotion Recognition in Tweets.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Constructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

Acquiring Commonsense Knowledge for Sentiment Analysis through Human Computation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation.
Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, 2013

Direct Negative Opinions in Online Discussions.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

A : ) Is Worth a Thousand Words: How People Attach Sentiment to Emoticons and Words in Tweets.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Recommendation Using Textual Opinions.
Proceedings of the IJCAI 2013, 2013

A Novel Human Computation Game for Critique Aggregation.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Sentiment Analysis Using a Novel Human Computation Game.
Proceedings of the 3rd Workshop on the People's Web Meets NLP: Collaboratively Constructed Semantic Resources and their Applications to NLP@ACL 2012, 2012

2011
Concept-Based Topic Model Improvement.
Proceedings of the Emerging Intelligent Technologies in Industry, 2011

Improving Topic Evaluation Using Conceptual Knowledge.
Proceedings of the IJCAI 2011, 2011

2010
The Impact of Valence Shifters on Mining Implicit Economic Opinions.
Proceedings of the Artificial Intelligence: Methodology, 2010


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