ניתוח תחבירי מכני של משפט בעברית (A mechanical algorithm for finding the syntactic structure of a Hebrew sentence). - Daniel Cohen (1984)

Real time discrete shading. - Daniel Cohen; Arie E. Kaufman; Reuven Bakalash; Samuel Bergman (Vis. Comput., 1990)

Discrete ray tracing. - Roni Yagel; Daniel Cohen; Arie E. Kaufman (IEEE Computer Graphics and Applications, 1992)

Normal estimation in 3D discrete space. - Roni Yagel; Daniel Cohen; Arie E. Kaufman (Vis. Comput., 1992)

Distributed Databases Tied with StrIng. - Daniel Cohen; Graem A. Ringwood (BNCOD, 1993)

Modeling in Volume Graphics. - Arie E. Kaufman; Roni Yagel; Daniel Cohen (Modeling in Computer Graphics, 1993)

A fast display method for volumetric data. - Lisa M. Sobierajski; Daniel Cohen; Arie E. Kaufman; Roni Yagel; David E. Acker (Vis. Comput., 1993)

Voxel Traversal along a 3D Line. - Daniel Cohen (Graphics Gems, 1994)

Photorealistic terrain imaging and flight simulation. - Daniel Cohen; Craig Gotsman (IEEE Computer Graphics and Applications, 1994)

Generating a smooth voxel-based model from an irregular polygon mesh. - Daniel Cohen; Arie E. Kaufman; Yingxing Wang (Vis. Comput., 1994)

Whole genome association studies in humans (abstract). - Daniel Cohen; Marta Blumenfeld; Ilya Chumakov; Nicholas J. Schork (RECOMB, 1999)

Augmented Reality Image Guidance in Minimally Invasive Prostatectomy. - Daniel Cohen; Erik Mayer; Dongbin Chen; Ann Anstee; Justin Vale; Guang-Zhong Yang; Ara Darzi; Philip J. Edwards (Prostate Cancer Imaging, 2010)

2D/3D Registration of a Preoperative Model with Endoscopic Video Using Colour-Consistency. - Ping-Lin Chang; Dongbin Chen; Daniel Cohen; Philip J. Edwards (AE-CAI, 2011)

Single and Multi-User Virtual Patient Design in the Virtual World. - Dave Taylor; Vishal Patel; Daniel Cohen; Rajesh Aggarwal; K. Kerr; Nick Sevdalis; N. Batrick; Ara Darzi (MMVR, 2011)

Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy. - Qinquan Gao; Ping-Lin Chang; Daniel Rueckert; Syed Mohammed Ali; Daniel Cohen; Philip Pratt; Erik Mayer; Guang-Zhong Yang; Ara Darzi; Philip J. Edwards (Comput. Medical Imaging Graph., 2013)

24.6 A CMOS micro-flow cytometer for magnetic label detection and classification. - Pramod Murali; Igor I. Izyumin; Daniel Cohen; Jun-Chau Chien; Ali M. Niknejad; Bernhard E. Boser (ISSCC, 2014)

mm Wave Initial Cell Search Analysis under UE Rotational Motion. - Steven Ferrante; Tao Deng; Ravikumar Pragada; Daniel Cohen (ICUWB, 2015)

End to End Long Short Term Memory Networks for Non-Factoid Question Answering. - Daniel Cohen; W. Bruce Croft (ICTIR, 2016)

Adaptability of Neural Networks on Varying Granularity IR Tasks. - Daniel Cohen; Qingyao Ai; W. Bruce Croft (CoRR, 2016)

A Hybrid Embedding Approach to Noisy Answer Passage Retrieval. - Daniel Cohen; W. Bruce Croft (ECIR, 2018)

Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks. - Daniel Cohen; Brendan O'Connor 001; W. Bruce Croft (ICTIR, 2018)

Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks. - Daniel Cohen; John Foley; Hamed Zamani; James Allan; W. Bruce Croft (SIGIR, 2018)

Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. - Daniel Cohen; Bhaskar Mitra 001; Katja Hofmann; W. Bruce Croft (SIGIR, 2018)

WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. - Daniel Cohen; Liu Yang 005; W. Bruce Croft (SIGIR, 2018)

Distributed Evaluations: Ending Neural Point Metrics. - Daniel Cohen; Scott M. Jordan; W. Bruce Croft (CoRR, 2018)

The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval. - Constantine Lignos; Daniel Cohen; Yen-Chieh Lien; Pratik Mehta; W. Bruce Croft; Scott Miller (EMNLP/IJCNLP (1), 2019)

Bootstrapping Security Configuration for IoT Devices on Networks with TLS Inspection. - Victor Danilchenko; Matthew Theobald; Daniel Cohen (GLOBECOM Workshops, 2019)

Learning a Better Negative Sampling Policy with Deep Neural Networks for Search. - Daniel Cohen; Scott M. Jordan; W. Bruce Croft (ICTIR, 2019)

An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists. - Yen-Chieh Lien; Daniel Cohen; W. Bruce Croft (ICTIR, 2019)

RUCKUS: a cybersecurity engine for performing autonomous cyber-physical system vulnerability discovery at scale. - Bradley Potteiger; Jacob Mills; Daniel Cohen; Paul Velez (HotSoS, 2020)

Evaluating the Performance of Reinforcement Learning Algorithms. - Scott M. Jordan; Yash Chandak; Daniel Cohen; Mengxue Zhang; Philip S. Thomas (ICML, 2020)

All that GLITTERs: Low-Power Spoof-Resilient Optical Markers for Augmented Reality. - Rahul Anand Sharma; Adwait Dongare; John Miller 002; Nicholas Wilkerson; Daniel Cohen; Vyas Sekar; Prabal Dutta; Anthony Rowe 001 (IPSN, 2020)

A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. - Oleg Lesota; Navid Rekabsaz; Daniel Cohen; Klaus Antonius Grasserbauer; Carsten Eickhoff; Markus Schedl (ICTIR, 2021)

Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates. - Daniel Cohen (SIGIR, 2021)

Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. - Daniel Cohen; Bhaskar Mitra 001; Oleg Lesota; Navid Rekabsaz; Carsten Eickhoff (SIGIR, 2021)

CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. - George Zerveas; Navid Rekabsaz; Daniel Cohen; Carsten Eickhoff (CoRR, 2021)

The Design of Reciprocal Learning Between Human and Artificial Intelligence. - Alexey Zagalsky; Dov Te'eni; Inbal Yahav; David G. Schwartz; Gahl Silverman; Daniel Cohen; Yossi Mann; Dafna Lewinsky (Proc. ACM Hum. Comput. Interact., 2021)

CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. - George Zerveas; Navid Rekabsaz; Daniel Cohen; Carsten Eickhoff (EMNLP, 2022)

Discovery of AI/ML Supply Chain Vulnerabilities within Automotive Cyber-Physical Systems. - Daniel Williams; Chelece Clark; Rachel McGahan; Bradley Potteiger; Daniel Cohen; Patrick Musau (ICAA, 2022)

Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. - Daniel Cohen; Kevin Du; Bhaskar Mitra 001; Laura Mercurio; Navid Rekabsaz; Carsten Eickhoff (SIGIR, 2022)

Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. - George Zerveas; Navid Rekabsaz; Daniel Cohen; Carsten Eickhoff (SIGIR, 2022)

Collaboration or separation maximizing the partnership between a "Gray hat" hacker and an organization in a two-stage cybersecurity game. - Daniel Cohen; Amir Elalouf; Raz Zeev (Int. J. Inf. Manag. Data Insights, 2022)

Predictive Uncertainty-based Bias Mitigation in Ranking. - Maria Heuss; Daniel Cohen; Masoud Mansoury; Maarten de Rijke; Carsten Eickhoff (CIKM, 2023)

Parameter-efficient Modularised Bias Mitigation via AdapterFusion. - Deepak Kumar; Oleg Lesota; George Zerveas; Daniel Cohen; Carsten Eickhoff; Markus Schedl; Navid Rekabsaz (EACL, 2023)

A Lightweight Constrained Generation Alternative for Query-focused Summarization. - Zhichao Xu 001; Daniel Cohen (SIGIR, 2023)

Cache Line Deltas Compression. - Daniel Cohen; Sarel Cohen; Dalit Naor; Daniel G. Waddington; Moshik Hershcovitch (SYSTOR, 2023)

Dictionary Based Cache Line Compression. - Daniel Cohen; Sarel Cohen; Dalit Naor; Daniel G. Waddington; Moshik Hershcovitch (HotStorage, 2024)

In-Context Example Ordering Guided by Label Distributions. - Zhichao Xu 001; Daniel Cohen; Bei Wang 001; Vivek Srikumar (NAACL-HLT (Findings), 2024)

Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from Large Language Models. - Puxuan Yu; Daniel Cohen; Hemank Lamba; Joel R. Tetreault; Alex Jaimes (CoRR, 2024)

Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs. - Puxuan Yu; Daniel Cohen; Hemank Lamba; Joel R. Tetreault; Alejandro Jaimes (ACL (Findings), 2025)

Human-AI Enhancement of Cyber Threat Intelligence. - Daniel Cohen; Dov Te'eni; Inbal Yahav; Alexey Zagalsky; David G. Schwartz; Gahl Silverman; Yossi Mann; Amir Elalouf; Jeremy Makowski (Int. J. Inf. Sec., 2025)

Virtual Cells: Predict, Explain, Discover. - Emmanuel Noutahi; Jason S. Hartford; Prudencio Tossou; Shawn Whitfield; Alisandra K. Denton; Cas Wognum; Kristina Ulicna; Michael Craig; Jonathan Hsu; Michael Cuccarese; Emmanuel Bengio; Dominique Beaini; et al. (CoRR, 2025)