Papers
705 papers found
Tamil Lyrics Corpus: Analysis and Experiments
Dhivya Chinnappa, Praveenraj Dhandapani
KCRL@DravidianLangTech 2025: Multi-Pooling Feature Fusion with XLM-RoBERTa for Malayalam Fake News Detection and Classification
Fariha Haq, Md. Tanvir Ahammed Shawon, Md Ayon Mia et al.
CUETSentimentSillies@DravidianLangTech EACL2024: Transformer-based Approach for Detecting and Categorizing Fake News in Malayalam Language
Zannatul Tripty, Md. Nafis, Antu Chowdhury et al.
Punny_Punctuators@DravidianLangTech-EACL2024: Transformer-based Approach for Detection and Classification of Fake News in Malayalam Social Media Text
Nafisa Tabassum, Sumaiya Aodhora, Rowshon Akter et al.
YenLP_CS@DravidianLangTech 2025: Sentiment Analysis on Code-Mixed Tamil-Tulu Data Using Machine Learning and Deep Learning Models
Raksha Adyanthaya, Rathnakara Shetty P
Advancing Sentiment Analysis in Tamil-English Code-Mixed Texts: Challenges and Transformer-Based Solutions
Mikhail Krasitskii, Olga Kolesnikova, Liliana Chanona Hernandez et al.
Varsini_and_Kirthanna@DravidianLangTech-ACL2022-Emotional Analysis in Tamil
Varsini S, Kirthanna Rajan, Angel S et al.
In-Network PCA and Anomaly Detection
Ling Huang, Xuanlong Nguyen, Minos Garofalakis et al.
Theory and Dynamics of Perceptual Bistability
Paul R. Schrater, Rashmi Sundareswara
How SVMs can estimate quantiles and the median
Andreas Christmann, Ingo Steinwart
Expectation Maximization and Posterior Constraints
Kuzman Ganchev, Ben Taskar, João Gama
An LP View of the M-best MAP problem
Menachem Fromer, Amir Globerson
Exponential Family Graph Matching and Ranking
James Petterson, Jin Yu, Julian J. Mcauley et al.
Trading off Mistakes and Don't-Know Predictions
Amin Sayedi, Morteza Zadimoghaddam, Avrim Blum
Multiple Kernel Learning and the SMO Algorithm
Zhaonan Sun, Nawanol Ampornpunt, Manik Varma et al.
Multiclass Boosting: Theory and Algorithms
Mohammad J. Saberian, Nuno Vasconcelos
Divide-and-Conquer Matrix Factorization
Lester W. Mackey, Michael I. Jordan, Ameet Talwalkar
Sparse Manifold Clustering and Embedding
Ehsan Elhamifar, René Vidal
Multi-Task Averaging
Sergey Feldman, Maya Gupta, Bela Frigyik
Learning Manifolds with K-Means and K-Flats
Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco
Majorization for CRFs and Latent Likelihoods
Tony Jebara, Anna Choromanska
Low-Rank Matrix and Tensor Completion via Adaptive Sampling
Akshay Krishnamurthy, Aarti Singh
Mapping paradigm ontologies to and from the brain
Yannick Schwartz, Bertrand Thirion, Gael Varoquaux
Learning to Prune in Metric and Non-Metric Spaces
Leonid Boytsov, Bilegsaikhan Naidan