Discriminative Learning for Label Sequences via Boosting. - Yasemin Altun; Thomas Hofmann 001; Mark Johnson 001 (NIPS, 2002)

Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences. - Yasemin Altun; Mark Johnson 001; Thomas Hofmann 001 (EMNLP, 2003)

Hidden Markov Support Vector Machines. - Yasemin Altun; Ioannis Tsochantaridis; Thomas Hofmann 001 (ICML, 2003)

Large margin methods for label sequence learning. - Yasemin Altun; Thomas Hofmann 001 (INTERSPEECH, 2003)

Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech. - Michelle L. Gregory; Yasemin Altun (ACL, 2004)

Gaussian process classification for segmenting and annotating sequences. - Yasemin Altun; Thomas Hofmann 001; Alexander J. Smola (ICML, 2004)

Support vector machine learning for interdependent and structured output spaces. - Ioannis Tsochantaridis; Thomas Hofmann 001; Thorsten Joachims; Yasemin Altun (ICML, 2004)

Exponential Families for Conditional Random Fields. - Yasemin Altun; Alexander J. Smola; Thomas Hofmann 001 (UAI, 2004)

Margin Semi-Supervised Learning for Structured Variables. - Yasemin Altun; David A. McAllester; Mikhail Belkin (NIPS, 2005)

Large Margin Methods for Structured and Interdependent Output Variables. - Ioannis Tsochantaridis; Thorsten Joachims; Thomas Hofmann 001; Yasemin Altun (J. Mach. Learn. Res., 2005)

Discriminative Methods for Label Sequence Learning. - Yasemin Altun (2005)

Unifying Divergence Minimization and Statistical Inference Via Convex Duality. - Yasemin Altun; Alexander J. Smola (COLT, 2006)

Transductive Gaussian Process Regression with Automatic Model Selection. - Quoc V. Le; Alexander J. Smola; Thomas Gärtner 001; Yasemin Altun (ECML, 2006)

Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger. - Massimiliano Ciaramita; Yasemin Altun (EMNLP, 2006)

Semi-Markov Models for Sequence Segmentation. - Qinfeng Shi; Yasemin Altun; Alexander J. Smola; S. V. N. Vishwanathan (EMNLP-CoNLL, 2007)

Learning similarity measure for multi-modal 3D image registration. - Daewon Lee; Matthias Hofmann; Florian Steinke; Yasemin Altun; Nathan D. Cahill; Bernhard Schölkopf (CVPR, 2009)

Guest editorial: special issue on structured prediction. - Charles Parker; Yasemin Altun; Prasad Tadepalli (Mach. Learn., 2009)

Relative Entropy Policy Search. - Jan Peters 001; Katharina Mülling; Yasemin Altun (AAAI, 2010)

Learning probabilistic discriminative models of grasp affordances under limited supervision. - Ayse Erkan; Oliver Kroemer; Renaud Detry; Yasemin Altun; Justus H. Piater; Jan Peters 001 (IROS, 2010)

Novel Machine Learning Methods for MHC Class I Binding Prediction. - Christian Widmer; Nora C. Toussaint; Yasemin Altun; Oliver Kohlbacher; Gunnar Rätsch (PRIB, 2010)

Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. - Christian Widmer; Jose Leiva; Yasemin Altun; Gunnar Rätsch (RECOMB, 2010)

Inferring latent task structure for Multitask Learning by Multiple Kernel Learning. - Christian Widmer; Nora C. Toussaint; Yasemin Altun; Gunnar Rätsch (BMC Bioinform., 2010)

Multitask Learning for Brain-Computer Interfaces. - Morteza Alamgir; Moritz Grosse-Wentrup; Yasemin Altun (AISTATS, 2010)

Semi-Supervised Learning via Generalized Maximum Entropy. - Ayse Erkan; Yasemin Altun (AISTATS, 2010)

Overcoming the Lack of Parallel Data in Sentence Compression. - Katja Filippova; Yasemin Altun (EMNLP, 2013)

Discovering emerging entities with ambiguous names. - Johannes Hoffart; Yasemin Altun; Gerhard Weikum (WWW, 2014)

Transfer Learning in Brain-Computer Interfaces. - Vinay Jayaram; Morteza Alamgir; Yasemin Altun; Bernhard Schölkopf; Moritz Grosse-Wentrup (CoRR, 2015)

Transfer Learning in Brain-Computer Interfaces Abstract uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail. - Vinay Jayaram; Morteza Alamgir; Yasemin Altun; Bernhard Schölkopf; Moritz Grosse-Wentrup (IEEE Comput. Intell. Mag., 2016)

Generating Logical Forms from Graph Representations of Text and Entities. - Peter Shaw 004; Philip Massey; Angelica Chen; Francesco Piccinno; Yasemin Altun (ACL (1), 2019)

Answering Conversational Questions on Structured Data without Logical Forms. - Thomas Müller 009; Francesco Piccinno; Peter Shaw 004; Massimo Nicosia; Yasemin Altun (EMNLP/IJCNLP (1), 2019)

Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data. - Massimo Nicosia; Zhongdi Qu; Yasemin Altun (EMNLP (Findings), 2021)

Table-To-Text generation and pre-training with TabT5. - Ewa Andrejczuk; Julian Martin Eisenschlos; Francesco Piccinno; Syrine Krichene; Yasemin Altun (EMNLP (Findings), 2022)

LAD: Language Models as Data for Zero-Shot Dialog. - Shikib Mehri; Yasemin Altun; Maxine Eskénazi (SIGDIAL, 2022)

What Did You Say? Task-Oriented Dialog Datasets Are Not Conversational!? - Alice Shoshana Jakobovits; Francesco Piccinno; Yasemin Altun (CoRR, 2022)

DePlot: One-shot visual language reasoning by plot-to-table translation. - Fangyu Liu 001; Julian Martin Eisenschlos; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Wenhu Chen; Nigel Collier; Yasemin Altun (ACL (Findings), 2023)

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. - Fangyu Liu 001; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Yasemin Altun; Nigel Collier; Julian Martin Eisenschlos (ACL (1), 2023)

Multimodal Chart Retrieval: A Comparison of Text, Table and Image Based Approaches. - Averi Nowak; Francesco Piccinno; Yasemin Altun (NAACL-HLT, 2024)

TANQ: An Open Domain Dataset of Table Answered Questions. - Mubashara Akhtar; Chenxi Pang; Andreea Marzoca; Yasemin Altun; Julian Martin Eisenschlos (Trans. Assoc. Comput. Linguistics, 2025)