Synthesizing customizable learning environments. - Thulasi Ram Naidu; Manisha Verma; Venkatesh Choppella; Gangadhar Chalapakay (T4E, 2010)

Patent search using IPC classification vectors. - Manisha Verma; Vasudeva Varma (PaIR@CIKM, 2011)

Exploring Keyphrase Extraction and IPC Classification Vectors for Prior Art Search. - Manisha Verma; Vasudeva Varma (CLEF (Notebook Papers/Labs/Workshop), 2011)

Applying key phrase extraction to aid invalidity search. - Manisha Verma; Vasudeva Varma (ICAIL, 2011)

Bringing Head Closer to the Tail with Entity Linking. - Manisha Verma; Diego Ceccarelli (ESAIR, 2014)

Entity Oriented Task Extraction from Query Logs. - Manisha Verma; Emine Yilmaz (CIKM, 2014)

Relevance and Effort: An Analysis of Document Utility. - Emine Yilmaz; Manisha Verma; Nick Craswell; Filip Radlinski; Peter Bailey (CIKM, 2014)

Multi-resolution Local extrema patterns using discrete wavelet transform. - Manisha Verma; Raman Balasubramanian; Subrahmanyam Murala (IC3, 2014)

Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. - Rishabh Mehrotra; Emine Yilmaz; Manisha Verma (RecSys Posters, 2014)

Object tracking using joint histogram of color and local rhombus pattern. - Manisha Verma; Balasubramanian Raman (ICSIPA, 2015)

Overview of the TREC 2015 Tasks Track. - Emine Yilmaz; Manisha Verma; Rishabh Mehrotra; Evangelos Kanoulas; Ben Carterette; Nick Craswell (TREC, 2015)

Fusion of submanifold and local texture features for palmprint authentication. - Asha Rani 005; Manisha Verma; Balasubramanian Raman (VCIP, 2015)

Local extrema co-occurrence pattern for color and texture image retrieval. - Manisha Verma; Raman Balasubramanian; Subrahmanyam Murala (Neurocomputing, 2015)

Center symmetric local binary co-occurrence pattern for texture, face and bio-medical image retrieval. - Manisha Verma; Balasubramanian Raman (J. Vis. Commun. Image Represent., 2015)

Category Oriented Task Extraction. - Manisha Verma; Emine Yilmaz (CHIIR, 2016)

A Hierarchical Shot Boundary Detection Algorithm Using Global and Local Features. - Manisha Verma; Balasubramanian Raman (CVIP (2), 2016)

Script Identification in Natural Scene Images: A Dataset and Texture-Feature Based Performance Evaluation. - Manisha Verma; Nitakshi Sood; Partha Pratim Roy 001; Balasubramanian Raman (CVIP (2), 2016)

Characterizing Relevance on Mobile and Desktop. - Manisha Verma; Emine Yilmaz (ECIR, 2016)

Going Beyond Relevance: Incorporating Effort in Information Retrieval. - Manisha Verma (SIGIR, 2016)

Overview of the TREC Tasks Track 2016. - Manisha Verma; Emine Yilmaz; Rishabh Mehrotra; Evangelos Kanoulas; Ben Carterette; Nick Craswell; Peter Bailey (TREC, 2016)

On Obtaining Effort Based Judgements for Information Retrieval. - Manisha Verma; Emine Yilmaz; Nick Craswell (WSDM, 2016)

Local tri-directional patterns: A new texture feature descriptor for image retrieval. - Manisha Verma; Balasubramanian Raman (Digit. Signal Process., 2016)

A novel colour- and texture-based image retrieval technique using multi-resolution local extrema peak valley pattern and RGB colour histogram. - Madhumanti Dey; Balasubramanian Raman; Manisha Verma (Pattern Anal. Appl., 2016)

Edge-Aware Spatial Filtering-Based Motion Magnification. - Manisha Verma; Shanmuganathan Raman (CVIP (2), 2017)

Search Costs vs. User Satisfaction on Mobile. - Manisha Verma; Emine Yilmaz (ECIR, 2017)

On Utility of Temporal Embeddings in Skill Matching. - Manisha Verma; Nathan Francis (ICDM Workshops, 2017)

Interest Region Based Motion Magnification. - Manisha Verma; Shanmuganathan Raman (ICIAP (1), 2017)

Saliency Driven Video Motion Magnification. - Manisha Verma; Ramyani Ghosh; Shanmuganathan Raman (NCVPRIPG, 2017)

TREC Complex Answer Retrieval Overview. - Laura Dietz; Manisha Verma; Filip Radlinski; Nick Craswell (TREC, 2017)

Going beyond relevance: role of effort in information retrieval. - Manisha Verma (2017)

Study of Relevance and Effort across Devices. - Manisha Verma; Emine Yilmaz; Nick Craswell (CHIIR, 2018)

Local neighborhood difference pattern: A new feature descriptor for natural and texture image retrieval. - Manisha Verma; Balasubramanian Raman (Multim. Tools Appl., 2018)

LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition From Image Sequences. - Sudhakar Kumawat; Manisha Verma; Shanmuganathan Raman (CVPR Workshops, 2019)

Facial Expression Recognition with Skip-Connection to Leverage Low-Level Features. - Manisha Verma; Hirokazu Kobori; Yuta Nakashima; Noriko Takemura; Hajime Nagahara (ICIP, 2019)

Guiding creative design in online advertising. - Shaunak Mishra; Manisha Verma; Jelena Gligorijevic (RecSys, 2019)

LIRME: Locally Interpretable Ranking Model Explanation. - Manisha Verma; Debasis Ganguly (SIGIR, 2019)

Clusters in Explanation Space: Inferring disease subtypes from model explanations. - Marc-Andre Schulz; Matt Chapman-Rounds; Manisha Verma; Danilo Bzdok; Konstantinos Georgatzis (CoRR, 2019)

Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. - Shaunak Mishra; Manisha Verma; Yichao Zhou 001; Kapil Thadani; Wei Wang 010 (CIKM, 2020)

Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. - Manisha Verma; Sudhakar Kumawat; Yuta Nakashima; Shanmuganathan Raman (CVPR Workshops, 2020)

Overview of RCD-2020, the FIRE-2020 track on Retrieval from Conversational Dialogues. - Debasis Ganguly; Dipasree Pal; Manisha Verma; Procheta Sen (FIRE, 2020)

Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. - Liangzhi Li 001; Manisha Verma; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (MIDL, 2020)

The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. - Procheta Sen; Debasis Ganguly; Manisha Verma; Gareth J. F. Jones (SIGIR, 2020)

IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. - Liangzhi Li 001; Manisha Verma; Yuta Nakashima; Hajime Nagahara; Ryo Kawasaki (WACV, 2020)

Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. - Yichao Zhou 001; Shaunak Mishra; Manisha Verma; Narayan Bhamidipati; Wei Wang 010 (WWW, 2020)

One word at a time: adversarial attacks on retrieval models. - Nisarg Raval; Manisha Verma (CoRR, 2020)

Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns. - Liangzhi Li 001; Manisha Verma; Bowen Wang 002; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (CoRR, 2020)

Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop. - Keqian Li; Yifan Hu 001; Manisha Verma; Fei Tan 002; Changwei Hu; Tejaswi Kasturi; Kevin Yen (IEEE BigData, 2021)

BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation. - Keqian Li; Kevin Yen; Shaunak Mishra; Yifan Hu 001; Changwei Hu; Manisha Verma (IEEE BigData, 2021)

TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. - Shaunak Mishra; Changwei Hu; Manisha Verma; Kevin Yen; Yifan Hu 001; Maxim Sviridenko (CIKM, 2021)

Powering COVID-19 Community Q&A with Curated Side Information. - Manisha Verma; Kapil Thadani; Shaunak Mishra (CIKM Workshops, 2021)

MTUNet: Few-Shot Image Classification With Visual Explanations. - Bowen Wang 002; Liangzhi Li 001; Manisha Verma; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (CVPR Workshops, 2021)

SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. - Liangzhi Li 001; Bowen Wang 002; Manisha Verma; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (ICCV, 2021)

Learners' Efficiency Prediction Using Facial Behavior Analysis. - Manisha Verma; Yuta Nakashima; Hirokazu Kobori; Ryota Takaoka; Noriko Takemura; Tsukasa Kimura; Hajime Nagahara; Masayuki Numao; Kazumitsu Shinohara (ICIP, 2021)

Overview of the Supporting and Understanding of Conversational Dialogues (SUD) Workshop. - Debasis Ganguly; Manisha Verma; Procheta Sen; Dipasree Pal; Gareth J. F. Jones (WSDM, 2021)

Report on supporting and understanding of conversational dialogues workshop (SUD 2021) at WSDM 2021. - Debasis Ganguly; Gareth J. F. Jones; Procheta Sen; Manisha Verma; Dipasree Pal (SIGIR Forum, 2021)

Multi-label Disengagement and Behavior Prediction in Online Learning. - Manisha Verma; Yuta Nakashima; Noriko Takemura; Hajime Nagahara (AIED (1), 2022)

Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. - Procheta Sen; Sourav Saha 003; Debasis Ganguly; Manisha Verma; Dwaipayan Roy 001 (CIKM, 2022)

YogaTube: A Video Benchmark for Yoga Action Recognition. - Santosh Kumar Yadav; Guntaas Singh; Manisha Verma; Kamlesh Tiwari; Hari Mohan Pandey; Ali Akbar Shaikh; Peter Corcoran 001 (IJCNN, 2022)

First Workshop on Content Understanding and Generation for E-commerce. - Sumit Negi; Manisha Verma; Rajdeep H. Banerjee; Pooja A; Lydia B. Chilton; Mithun Das Gupta; Vinay P. Namboodiri; Dinesh Garg (KDD, 2022)

Recommendation Systems for Ad Creation: A View from the Trenches. - Manisha Verma; Shaunak Mishra (RecSys, 2022)

Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. - Sudhakar Kumawat; Manisha Verma; Yuta Nakashima; Shanmuganathan Raman (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Explainable Information Retrieval. - Avishek Anand; Procheta Sen; Sourav Saha 003; Manisha Verma; Mandar Mitra (SIGIR, 2023)

Match them up: visually explainable few-shot image classification. - Bowen Wang 002; Liangzhi Li 001; Manisha Verma; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (Appl. Intell., 2023)

Comparative Study of Machine Learning Algorithms for Traffic Accident Prediction and Prevention. - Manisha Verma; Bharti Sharma; Chikkakrishna Naveen Kumar (ICCCNT, 2024)

Detecting and Explaining Emotions in Video Advertisements. - Joachim Vanneste; Manisha Verma; Debasis Ganguly (SIGIR, 2024)

QD-RetNet: Efficient Retinal Disease Classification via Quantized Knowledge Distillation. - Ashutosh Kumar; Manisha Verma (MIUA (3), 2025)