| 2026 | ACL | Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations. | Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde, Sameer Singh, Seraphina Goldfarb-Tarrant |
| 2025 | ACL | Nudging: Inference-time Alignment of LLMs via Guided Decoding. | Yu Fei, Yasaman Razeghi, Sameer Singh |
| 2025 | IJCNLP | Characterizing Mamba's Selective Memory using Auto-Encoders. | Tamanna Hossain, Robert L. Logan IV, Ganesh Jagadeesan, Sameer Singh, Joel R. Tetreault, Alejandro Jaimes |
| 2025 | IJCNLP | Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts. | Preethi Seshadri, Hongyu Chen, Sameer Singh, Seraphina Goldfarb-Tarrant |
| 2025 | NAACL | TurtleBench: A Visual Programming Benchmark in Turtle Geometry. | Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi |
| 2024 | EMNLP | Downstream Trade-offs of a Family of Text Watermarks. | Anirudh Ajith, Sameer Singh, Danish Pruthi |
| 2024 | EMNLP | Perceptions of Linguistic Uncertainty by Language Models and Humans. | Catarina G. Belm, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth |
| 2024 | EMNLP | Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. | Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith |
| 2024 | EMNLP | Plot Twist: Multimodal Models Don't Comprehend Simple Chart Details. | Yasaman Razeghi, Ishita Dasgupta, Fangyu Liu, Vinay Ramasesh, Sameer Singh |
| 2024 | ICLR | Are Models Biased on Text without Gender-related Language? | Catarina G. Belm, Preethi Seshadri, Yasaman Razeghi, Sameer Singh |
| 2024 | ICLR | What's In My Big Data? | Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge |
| 2024 | ICLR | Backtracking Mathematical Reasoning of Language Models to the Pretraining Data. | Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar |
| 2024 | ICML | Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. | Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox |
| 2024 | NAACL | MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. | Tamanna Hossain, Sunipa Dev, Sameer Singh |
| 2024 | NAACL | EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning. | Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh |
| 2024 | NAACL | Selective Perception: Learning Concise State Descriptions for Language Model Actors. | Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh |
| 2024 | NAACL | The Bias Amplification Paradox in Text-to-Image Generation. | Preethi Seshadri, Sameer Singh, Yanai Elazar |
| 2023 | AAAI | Maestro: A Gamified Platform for Teaching AI Robustness. | Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagu |
| 2023 | AAAI | Factual and Informative Review Generation for Explainable Recommendation. | Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder |
| 2023 | ACL | To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. | Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga |
| 2023 | ACL | MISGENDERED: Limits of Large Language Models in Understanding Pronouns. | Tamanna Hossain, Sunipa Dev, Sameer Singh |
| 2023 | EMNLP | Coverage-based Example Selection for In-Context Learning. | Shivanshu Gupta, Matt Gardner, Sameer Singh |
| 2023 | ICML | Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. | Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox |
| 2023 | SIGCSE | Design Factors of Maestro: A Serious Game for Robust AI Education. | Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagu |
| 2022 | AAAI | PYLON: A PyTorch Framework for Learning with Constraints. | Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh |
| 2022 | ACL | Zero- and Few-Shot NLP with Pretrained Language Models. | Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh |
| 2022 | ACL | Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. | Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel |
| 2022 | ACL | Combining Feature and Instance Attribution to Detect Artifacts. | Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace |
| 2022 | ACL | ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. | Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach |
| 2022 | EMNLP | Successive Prompting for Decomposing Complex Questions. | Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner |
| 2022 | EMNLP | Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. | Shivanshu Gupta, Sameer Singh, Matt Gardner |
| 2022 | EMNLP | Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. | Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh |
| 2022 | EMNLP | Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance. | Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh |
| 2022 | EMNLP | Continued Pretraining for Better Zero- and Few-Shot Promptability. | Zhaofeng Wu, Robert L. Logan IV, Pete Walsh, Akshita Bhagia, Dirk Groeneveld, Sameer Singh, Iz Beltagy |
| 2022 | NAACL | Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. | Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi |
| 2022 | NAACL | FRUIT: Faithfully Reflecting Updated Information in Text. | Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang |
| 2022 | WoWMoM | BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. | Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia |
| 2021 | AAAI | Improved Consistency Regularization for GANs. | Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang |
| 2021 | ACL | Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. | Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh |
| 2021 | ACL | Enforcing Consistency in Weakly Supervised Semantic Parsing. | Nitish Gupta, Sameer Singh, Matt Gardner |
| 2021 | ACL | Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference. | Robert L. Logan IV, Andrew McCallum, Sameer Singh, Daniel M. Bikel |
| 2021 | EMNLP | Competency Problems: On Finding and Removing Artifacts in Language Data. | Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith |
| 2021 | EMNLP | Robustness and Adversarial Examples in Natural Language Processing. | Kai-Wei Chang, He He, Robin Jia, Sameer Singh |
| 2021 | EMNLP | Learning with Instance Bundles for Reading Comprehension. | Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner |
| 2021 | EMNLP | Generative Context Pair Selection for Multi-hop Question Answering. | Dheeru Dua, Ccero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh |
| 2021 | EMNLP | Paired Examples as Indirect Supervision in Latent Decision Models. | Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth |
| 2021 | EMNLP | Entity-Based Knowledge Conflicts in Question Answering. | Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh |
| 2021 | ICML | Calibrate Before Use: Improving Few-shot Performance of Language Models. | Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh |
| 2021 | IJCAI | Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). | Marco Tlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh |
| 2021 | NAACL | An Empirical Comparison of Instance Attribution Methods for NLP. | Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh |
| 2021 | NAACL | Concealed Data Poisoning Attacks on NLP Models. | Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh |
| 2020 | AAAI | Minecraft as a Platform for Project-Based Learning in AI. | Sameer Singh |
| 2020 | ACL | Benefits of Intermediate Annotations in Reading Comprehension. | Dheeru Dua, Sameer Singh, Matt Gardner |
| 2020 | ACL | Dynamic Sampling Strategies for Multi-Task Reading Comprehension. | Ananth Gottumukkala, Dheeru Dua, Sameer Singh, Matt Gardner |
| 2020 | ACL | On Importance Sampling-Based Evaluation of Latent Language Models. | Robert L. Logan IV, Matt Gardner, Sameer Singh |
| 2020 | ACL | Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. | Marco Tlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh |
| 2020 | ACL | Obtaining Faithful Interpretations from Compositional Neural Networks. | Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner |
| 2020 | AIES | Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods. | Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju |
| 2020 | EMNLP | Evaluating Models' Local Decision Boundaries via Contrast Sets. | Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou |
| 2020 | EMNLP | MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. | Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner |
| 2020 | EMNLP | COVIDLies: Detecting COVID-19 Misinformation on Social Media. | Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh |
| 2020 | EMNLP | AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. | Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, Sameer Singh |
| 2020 | EMNLP | MedICaT: A Dataset of Medical Images, Captions, and Textual References. | Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi |
| 2020 | EMNLP | Interpreting Predictions of NLP Models. | Eric Wallace, Matt Gardner, Sameer Singh |
| 2020 | EMNLP | Gradient-based Analysis of NLP Models is Manipulable. | Junlin Wang, Jens Tuyls, Eric Wallace, Sameer Singh |
| 2020 | ICLR | Neural Module Networks for Reasoning over Text. | Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner |
| 2020 | ICLR | Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution. | Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh |
| 2020 | IJCNN | Building a Better Lie Detector with BERT: The Difference Between Truth and Lies. | Dan Barsever, Sameer Singh, Emre Neftci |
| 2019 | ACL | Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. | Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh |
| 2019 | ACL | Compositional Questions Do Not Necessitate Multi-hop Reasoning. | Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2019 | ACL | Are Red Roses Red? Evaluating Consistency of Question-Answering Models. | Marco Tlio Ribeiro, Carlos Guestrin, Sameer Singh |
| 2019 | EMNLP | Knowledge Enhanced Contextual Word Representations. | Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith |
| 2019 | EMNLP | Universal Adversarial Triggers for Attacking and Analyzing NLP. | Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh |
| 2019 | EMNLP | AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. | Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh |
| 2019 | EMNLP | Do NLP Models Know Numbers? Probing Numeracy in Embeddings. | Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner |
| 2019 | MOBICOM | Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. | Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh |
| 2019 | NAACL | GenderQuant: Quantifying Mention-Level Genderedness. | Ananya, Nitya Parthasarthi, Sameer Singh |
| 2019 | NAACL | DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. | Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner |
| 2019 | NAACL | PoMo: Generating Entity-Specific Post-Modifiers in Context. | Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian |
| 2019 | NAACL | Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications. | Pouya Pezeshkpour, Yifan Tian, Sameer Singh |
| 2019 | NAACL | Deep Adversarial Learning for NLP. | William Yang Wang, Sameer Singh, Jiwei Li |
| 2018 | AAAI | Anchors: High-Precision Model-Agnostic Explanations. | Marco Tlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2018 | ACL | Semantically Equivalent Adversarial Rules for Debugging NLP models. | Marco Tlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2018 | EMNLP | Embedding Multimodal Relational Data for Knowledge Base Completion. | Pouya Pezeshkpour, Liyan Chen, Sameer Singh |
| 2018 | EMNLP | Interpretation of Natural Language Rules in Conversational Machine Reading. | Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel |
| 2018 | ICLR | Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs. | Forough Arabshahi, Sameer Singh, Animashree Anandkumar |
| 2018 | ICLR | Generating Natural Adversarial Examples. | Zhengli Zhao, Dheeru Dua, Sameer Singh |
| 2018 | WSDM | Mining Knowledge Graphs From Text. | Jay Pujara, Sameer Singh |
| 2017 | ACSSC | Intelligent data filtering in constrained IoT systems. | Igor Burago, Davide Callegaro, Marco Levorato, Sameer Singh |
| 2017 | EMNLP | Entity Linking via Joint Encoding of Types, Descriptions, and Context. | Nitish Gupta, Sameer Singh, Dan Roth |
| 2017 | ITA | Semantic compression for edge-assisted systems. | Igor Burago, Marco Levorato, Sameer Singh |
| 2016 | AAAI | Creating Interactive and Visual Educational Resources for AI. | Sameer Singh, Sebastian Riedel |
| 2016 | ACL | Connotation Frames: A Data-Driven Investigation. | Hannah Rashkin, Sameer Singh, Yejin Choi |
| 2016 | COLING | Better call Saul: Flexible Programming for Learning and Inference in NLP. | Parisa Kordjamshidi, Daniel Khashabi, Christos Christodoulopoulos, Bhargav Mangipudi, Sameer Singh, Dan Roth |
| 2016 | KDD | "Why Should I Trust You?": Explaining the Predictions of Any Classifier. | Marco Tlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2016 | NAACL | "Why Should I Trust You?": Explaining the Predictions of Any Classifier. | Marco Tlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2015 | AISTATS | Efficient Second-Order Gradient Boosting for Conditional Random Fields. | Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin |
| 2015 | NAACL | Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction. | Sameer Singh, Tim Rocktschel, Sebastian Riedel |
| 2015 | NAACL | Injecting Logical Background Knowledge into Embeddings for Relation Extraction. | Tim Rocktschel, Sameer Singh, Sebastian Riedel |
| 2015 | NAACL | WOLFE: An NLP-friendly Declarative Machine Learning Stack. | Sameer Singh, Tim Rocktschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel |
| 2014 | AAAI | WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. | Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktschel, Larysa Visengeriyeva, Jan Noessner |
| 2013 | CIKM | Automated probabilistic modeling for relational data. | Sameer Singh, Thore Graepel |
| 2013 | CIKM | Joint inference of entities, relations, and coreference. | Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, Andrew McCallum |
| 2013 | CIKM | AKBC 2013: third workshop on automated knowledge base construction. | Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar |
| 2013 | CIKM | Assessing confidence of knowledge base content with an experimental study in entity resolution. | Michael L. Wick, Sameer Singh, Ari Kobren, Andrew McCallum |
| 2013 | CIKM | A joint model for discovering and linking entities. | Michael L. Wick, Sameer Singh, Harshal Pandya, Andrew McCallum |
| 2013 | CoNLL | Dynamic Knowledge-Base Alignment for Coreference Resolution. | Jiaping Zheng, Luke Vilnis, Sameer Singh, Jinho D. Choi, Andrew McCallum |
| 2012 | ACL | A Discriminative Hierarchical Model for Fast Coreference at Large Scale. | Michael L. Wick, Sameer Singh, Andrew McCallum |
| 2012 | EMNLP | Monte Carlo MCMC: Efficient Inference by Approximate Sampling. | Sameer Singh, Michael L. Wick, Andrew McCallum |
| 2012 | NAACL | Monte Carlo MCMC: Efficient Inference by Sampling Factors. | Sameer Singh, Michael L. Wick, Andrew McCallum |
| 2011 | ACL | Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models. | Sameer Singh, Amarnag Subramanya, Fernando C. N. Pereira, Andrew McCallum |
| 2010 | NAACL | Minimally-Supervised Extraction of Entities from Text Advertisements. | Sameer Singh, Dustin Hillard, Chris Leggetter |
| 2010 | NAACL | Constraint-Driven Rank-Based Learning for Information Extraction. | Sameer Singh, Limin Yao, Sebastian Riedel, Andrew McCallum |
| 2009 | SDM | Parallel Large Scale Feature Selection for Logistic Regression. | Sameer Singh, Jeremy Kubica, Scott Larsen, Daria Sorokina |
| 2006 | ICRA | Transfer of Learning for Complex Task Domains: a Demonstration using Multiple Robots. | Sameer Singh, Julie A. Adams |
| 2006 | IDEAL | Multi-stage Classification for Audio Based Activity Recognition. | Jos Lopes, Charles Lin, Sameer Singh |
| 2006 | IDEAL | Vector Quantization Segmentation for Head Pose Estimation. | Jos Lopes, Sameer Singh |
| 2006 | IDEAL | Audio and Video Feature Fusion for Activity Recognition in Unconstrained Videos. | Jos Lopes, Sameer Singh |
| 2006 | IDEAL | Human Activity Recognition in Videos: A Systematic Approach. | Sameer Singh, Jessica JunLin Wang |
| 2004 | ICPR | Feature Selection based on a Black Hole Model of Data Reorganization. | Markos Markou, Sameer Singh |
| 2004 | ICPR | Video Sequence Matching with Spatio-Temporal Constraints. | Wei Ren, Sameer Singh |
| 2004 | IDEAL | Automatic Video Shot Boundary Detection Using Machine Learning.. | Wei Ren, Sameer Singh |
| 2004 | IDEAL | An Integrated Approach to Automatic Indoor Outdoor Scene Classification in Digital Images. | Matthew Traherne, Sameer Singh |
| 2004 | IDEAL | Video Based Human Behavior Identification Using Frequency Domain Analysis. | Jessica JunLin Wang, Sameer Singh |
| 2002 | ICPR | Pattern Recognition Using Information Slicing Method (pRISM). | Sameer Singh, Antony Galton |
| 2002 | ICPR | Automatic Local Effect of Window/Level on 3-D Scale-Space Ellipsoidal Filtering on Run-Off-Arteries from White Blood Magnetic Resonanc Angiography. | Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy Laxminarayan |
| 2002 | ICPR | A Comparison of State-of-the-Art Diffusion Imaging Techniques for Smoothing Medical/Non-Medical Image Data. | Jasjit S. Suri, Dee Wu, Jianbo Gao, Sameer Singh, Swamy Laxminarayan |
| 2002 | IDEAL | Chinese Character Recognition - Comparison of Classification Methodologies. | Sameer Singh, Adnan Amin, K. C. Sum |
| 2001 | ICIAP | Neural Network Analysis of MINERVA Scene Analysis Benchmark. | Markos Markou, Sameer Singh, Mona Sharma |
| 2000 | ICPR | Detection of Masses in Mammograms Using Texture Features. | Keir Bovis, Sameer Singh |
| 2000 | IJCNN | Identification of Masses in Digital Mammograms with MLP and RBF Nets. | Keir Bovis, Sameer Singh, Jonathan E. Fieldsend, Chris Pinder |
| 2000 | ICPR | EEG Data Classification with Localized Structural Information. | Sameer Singh |
| 2000 | ICPR | Cursive Digit and Character Recognition on Cedar Database. | Sameer Singh, Mark Hewitt |
| 2000 | ICPR | FLIR Image Segmentation and Natural Object Classification. | Sameer Singh, Markos Markou, John F. Haddon |
| 2000 | IJCNN | Classification of Helical Structures. | Sameer Singh |
| 2000 | IJCNN | Natural Object Classification Using Artificial Neural Networks. | Sameer Singh, Markos Markou, John F. Haddon |
| 1999 | ICDAR | Recognition of Hand-Printed Characters via Induct-RDR. | Adnan Amin, Sameer Singh |
| 1999 | IJCNN | Neural network separation of temporal data. | Sameer Singh |
| 1998 | ICPR | A pattern matching tool for time-series forecasting. | Sameer Singh, Elizabeth Stuart |
| 1998 | ICTAI | Dynamic time-series forecasting using local approximation. | Sameer Singh, Paul McAtackney |
| 1998 | SSPR | Optical Character Recognition: Neural Network Analysis of Hand-Printed Characters. | Adnan Amin, Sameer Singh |
| 1996 | ICPR | Shape detection using gradient features for handwritten character recognition. | Sameer Singh |