Durga Toshniwal

140 papers A* 1A 1B 14C 9Misc 2Journal 66Unranked 47

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Heuristic Data Placement in Distributed Hierarchical Storage Network Using Deep Reinforcement Learning. CCNC Ravi Kaler, Durga Toshniwal
2025	—	`conf`	HiSLR: Sample-Specific Relationships in Hyperbolic Space for Hierarchical Text Classification. ICDM (Workshops) Ashish Kumar, Durga Toshniwal
2025	J	`jnl`	Hierarchical text classification with enhanced graph encoding and dual-Natured text-label relationship. Knowl. Based Syst. Ashish Kumar, Durga Toshniwal
2025	—	`conf`	HyILR: Hyperbolic Instance-Specific Local Relationships for Hierarchical Text Classification. ACL (4) Ashish Kumar, Durga Toshniwal
2025	J	`jnl`	Mirage: Unveiling Hidden Artifacts in Synthetic Images with Large Vision-Language Models. CoRR Pranav Sharma, Shivank Garg, Durga Toshniwal
2025	B	`conf`	Oversampling-Enhanced Classification Models for Handling Imbalanced Recurrent Tuberculosis Data from Uttarakhand. IEEE Big Data Ankit Rai, Durga Toshniwal, Ruchi Dua, Shivam Varfa
2025	B	`conf`	Rule-Guided, Cost-Sensitive LLMs for Optimal Maternal Ambulance Dispatch Triage in Resource-Constrained Settings. IEEE Big Data Tripti Garg, Durga Toshniwal, Manoranjan Parida
2025	B	`conf`	Scalable Task-Oriented Dialogue Systems with Mixture of Experts and Offline Reinforcement Learning. IEEE Big Data Dharmendra Prajapat, Durga Toshniwal
2025	—	`conf`	Semantic alignment in hyperbolic space for fine-grained emotion classification. ACL (4) Ashish Kumar, Durga Toshniwal
2024	J	`jnl`	FedNISP: Neuron Importance Scope Propagation pruning for communication efficient federated learning. Comput. Electr. Eng. Gaurav Kumar, Durga Toshniwal
2024	B	`conf`	Forecasting Dissolved Oxygen Based on Two-Stage Decomposition with BiLSTM-Attention and weighted Huber Loss Function. DSAA Neha Pant, Durga Toshniwal, Bhola Ram Gurjar
2024	J	`jnl`	HLC: hierarchically-aware label correlation for hierarchical text classification. Appl. Intell. Ashish Kumar, Durga Toshniwal
2024	B	`conf`	Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement Learning. IEEE Big Data Dharmendra Prajapat, Durga Toshniwal
2024	J	`jnl`	Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement Learning. CoRR Dharmendra Prajapat, Durga Toshniwal
2024	J	`jnl`	Lifelong learning gets better with MixUp and unsupervised continual representation. Appl. Intell. Prashant Kumar, Durga Toshniwal
2024	B	`conf`	Local Hierarchy-Aware Text-Label Association for Hierarchical Text Classification. DSAA Ashish Kumar, Durga Toshniwal
2024	—	`conf`	Modeling Text-Label Alignment for Hierarchical Text Classification. ECML/PKDD (6) Ashish Kumar, Durga Toshniwal
2024	J	`jnl`	Modeling Text-Label Alignment for Hierarchical Text Classification. CoRR Ashish Kumar, Durga Toshniwal
2024	J	`jnl`	Self-Supervison with data-augmentation improves few-shot learning. Appl. Intell. Prashant Kumar, Durga Toshniwal
2024	J	`jnl`	Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions. CoRR Shivank Garg, Abhishek Baghel, Amit Agarwal, Durga Toshniwal
2024	J	`jnl`	TLDR: Traffic Light Detection using Fourier Domain Adaptation in Hostile WeatheR. CoRR Ishaan Gakhar, Aryesh Guha, Aryaman Gupta, Amit Agarwal, Durga Toshniwal, Ujjwal Verma
2024	J	`jnl`	Unveiling Themes in Judicial Proceedings: A Cross-Country Study Using Topic Modeling on Legal Documents from India and the UK. CoRR Krish Didwania, Durga Toshniwal, Amit Agarwal
2024	—	`conf`	Unveiling themes in judicial proceedings: A cross-country study using topic modeling on legal documents from India and the UK. JOWO Krish Didwania, Durga Toshniwal, Amit Agarwal
2023	B	`conf`	A Novel Ensemble-Based Framework for Feature Identification and Classification of COVID-19 Electronic Health Record Data. IEEE Big Data Asmita Mahajan, Durga Toshniwal
2023	—	`conf`	A hybrid model for Forecasting Biological Oxygen Demand using CEEMDAN-LSTM. GeoSocial@SIGSPATIAL Neha Pant, Durga Toshniwal, Bhola Ram Gurjar
2023	J	`jnl`	AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data. Eng. Appl. Artif. Intell. Samarth Godara, Durga Toshniwal, Ram Swaroop Bana, Deepak Singh, Jatin Bedi, Rajender Parsad, Jai Prakash Singh Dabas, Abimanyu Jhajhria, Shruti Godara, Raju Kumar, Sudeep Marwaha
2023	B	`conf`	Deep Reinforcement Learning based Data Placement optimization in Data Center Networks. IEEE Big Data Ravi Kaler, Durga Toshniwal
2023	B	`conf`	Label Hierarchy Alignment for Improved Hierarchical Text Classification. IEEE Big Data Ashish Kumar, Durga Toshniwal
2023	J	`jnl`	Statistical limitations of sensitive itemset hiding methods. Appl. Intell. Shalini Jangra, Durga Toshniwal, Chris Clifton
2022	A*	`conf`	AI-Driven Road Condition Monitoring across Multiple Nations. AAAI Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal
2022	J	`jnl`	AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns. Expert Syst. Appl. Aarzoo Dhiman, Durga Toshniwal
2022	J	`jnl`	AgriMine: A Deep Learning integrated Spatio-temporal analytics framework for diagnosing nationwide agricultural issues using farmers' helpline data. Comput. Electron. Agric. Samarth Godara, Durga Toshniwal, Rajender Parsad, Ram Swaroop Bana, Deepak Singh, Jatin Bedi, Abimanyu Jhajhria, Jai Prakash Singh Dabas, Sudeep Marwaha
2022	—	`conf`	Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River. AALTD@ECML/PKDD Neha Pant, Durga Toshniwal, Bhola Ram Gurjar
2022	B	`conf`	Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). IEEE Big Data Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2022	J	`jnl`	Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022). CoRR Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2022	J	`jnl`	Deep Learning-based query-count forecasting using farmers' helpline data. Comput. Electron. Agric. Samarth Godara, Durga Toshniwal
2022	J	`jnl`	Efficient algorithms for victim item selection in privacy-preserving utility mining. Future Gener. Comput. Syst. Shalini Jangra, Durga Toshniwal
2022	A	`conf`	Neuron Specific Pruning for Communication Efficient Federated Learning. CIKM Gaurav Kumar, Durga Toshniwal
2022	J	`jnl`	RDD2022: A multi-national image dataset for automatic Road Damage Detection. CoRR Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto
2021	J	`jnl`	Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak. IEEE Trans. Emerg. Top. Comput. Intell. Amit Agarwal, Deepak Uniyal, Durga Toshniwal, Dipanjan Deb
2021	J	`jnl`	Distributed Sparse Class-Imbalance Learning and Its Applications. IEEE Trans. Big Data Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao
2020	J	`jnl`	A sanitization approach for big data with improved data utility. Appl. Intell. Udit Sharma, Durga Toshniwal, Shivani Sharma
2020	J	`jnl`	An Approximate Model for Event Detection From Twitter Data. IEEE Access Aarzoo Dhiman, Durga Toshniwal
2020	J	`jnl`	An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets. CoRR Aarzoo Dhiman, Durga Toshniwal
2020	—	`conf`	An Unsupervised Misinformation Detection Framework to Analyze the Users using COVID-19 Twitter Data. IEEE BigData Aarzoo Dhiman, Durga Toshniwal
2020	—	`conf`	Closed Itemset based Sensitive Pattern Hiding for Improved Data Utility and Scalability. IEEE BigData Himanshu Makkar, Durga Toshniwal, Shalini Jangra
2020	—	`conf`	Data Decomposition Based Learning for Load Time-Series Forecasting. PKDD/ECML Workshops Jatin Bedi, Durga Toshniwal
2020	J	`jnl`	Energy load time-series forecast using decomposition and autoencoder integrated memory network. Appl. Soft Comput. Jatin Bedi, Durga Toshniwal
2020	J	`jnl`	Features denoising-based learning for porosity classification. Neural Comput. Appl. Jatin Bedi, Durga Toshniwal
2020	—	`conf`	Global Road Damage Detection: State-of-the-art Solutions. IEEE BigData Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2020	J	`jnl`	Global Road Damage Detection: State-of-the-art Solutions. CoRR Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2020	—	`conf`	Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning. AIAI (2) Narayan Chaturvedi, Durga Toshniwal, Manoranjan Parida
2020	J	`jnl`	MR-I MaxMin-scalable two-phase border based knowledge hiding technique using MapReduce. Future Gener. Comput. Syst. Shivani Sharma, Durga Toshniwal
2020	J	`jnl`	MR-OVnTSA: a heuristics based sensitive pattern hiding approach for big data. Appl. Intell. Shivani Sharma, Durga Toshniwal
2020	—	`conf`	Real-time estimation of COVID-19 cases using machine learning and mathematical models - The case of India. ICIIS Pratima Kumari, Durga Toshniwal
2020	J	`jnl`	Sequential pattern mining combined multi-criteria decision-making for farmers' queries characterization. Comput. Electron. Agric. Samarth Godara, Durga Toshniwal
2020	J	`jnl`	Transfer Learning-based Road Damage Detection for Multiple Countries. CoRR Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto
2020	J	`jnl`	VIDPSO: Victim item deletion based PSO inspired sensitive pattern hiding algorithm for dense datasets. Inf. Process. Manag. Shalini Jangra, Durga Toshniwal
2019	—	`conf`	Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study. PKDD/ECML Workshops (2) Amit Agarwal, Durga Toshniwal, Jatin Bedi
2019	J	`jnl`	Face off: Travel Habits, Road Conditions and Traffic City Characteristics Bared Using Twitter. IEEE Access Amit Agarwal, Durga Toshniwal
2019	J	`jnl`	Frequent Pattern Mining on Time and Location Aware Air Quality Data. IEEE Access Apeksha Aggarwal, Durga Toshniwal
2019	J	`jnl`	Global Awareness Landscape for Ailments - A Twitter Based Microscopic View Into Thought Processes of People. Frontiers Big Data Durga Toshniwal, Soumya Somani, Rohit Aggarwal, Preeti Malik
2019	J	`jnl`	MOWM: Multiple Overlapping Window Method for RBF based missing value prediction on big data. Expert Syst. Appl. Brijraj Singh, Durga Toshniwal
2019	J	`jnl`	Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2. Neural Networks Brijraj Singh, Durga Toshniwal, Sharan Kumar Allur
2019	J	`jnl`	SmPFT: Social media based profile fusion technique for data enrichment. Comput. Networks Amit Agarwal, Durga Toshniwal
2018	J	`jnl`	A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex. CoRR Amit Agarwal, Brijraj Singh, Jatin Bedi, Durga Toshniwal
2018	—	`conf`	Do Public and Government Think Similar About Indian Cleanliness Campaign? SIMBig Aarzoo Dhiman, Durga Toshniwal
2018	J	`jnl`	Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting. IEEE Access Jatin Bedi, Durga Toshniwal
2018	J	`jnl`	Large-Scale Distributed Sparse Class-Imbalance Learning. Inf. Sci. Chandresh Kumar Maurya, Durga Toshniwal
2018	B	`conf`	Location Prediction Using Sentiments of Twitter Users. DaWaK Ritu Singh, Durga Toshniwal
2018	—	`conf`	Parallel Framework for Unsupervised Classification of Seismic Facies. MLDM (2) Jatin Bedi, Durga Toshniwal
2018	—	`conf`	Predicting Particulate Matter for Assessing Air Quality in Delhi Using Meteorological Features. ICCSA (1) Apeksha Aggarwal, Durga Toshniwal
2018	J	`jnl`	SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF. CoRR Jatin Bedi, Durga Toshniwal
2018	—	`conf`	Spatio-Temporal Frequent Itemset Mining on Web Data. ICDM Workshops Apeksha Aggarwal, Durga Toshniwal
2018	—	`conf`	Visibility Prediction in Urban Localities Using Clustering. ICACDS (2) Apeksha Aggarwal, Durga Toshniwal
2017	J	`jnl`	A comparative analysis of heterogeneity in road accident data using data mining techniques. Evol. Syst. Sachin Kumar, Durga Toshniwal, Manoranjan Parida
2017	B	`conf`	Extracting Patterns and Variations in Air Quality of Four Tier I Cities in India. SERVICES Alka Yadav, Durga Toshniwal
2017	—	`conf`	Improving Infrastructure for Transportation Systems Using Clustering. BDA Prashant Rajput, Durga Toshniwal, Apeksha Aggarwal
2017	J	`jnl`	Prediction of places of visit using tweets. Knowl. Inf. Syst. Arun Chauhan, Krishna Kummamuru, Durga Toshniwal
2017	J	`jnl`	Scalable two-phase co-occurring sensitive pattern hiding using MapReduce. J. Big Data Shivani Sharma, Durga Toshniwal
2016	—	`conf`	A Generalized Framework for Quantifying Trust of Social Media Text Documents. MLDM Tuhin Sharma, Durga Toshniwal
2016	J	`jnl`	A novel framework to analyze road accident time series data. J. Big Data Sachin Kumar, Durga Toshniwal
2016	J	`jnl`	Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC). J. Big Data Sachin Kumar, Durga Toshniwal
2016	C	`conf`	Analyzing civic complaints for proactive maintenance in smart city. ICIS Preeti Bansal, Durga Toshniwal
2016	C	`conf`	GenIt-e-MoTo: Generation of intelligence to envisage modus operandi of terror outfits. ICIS Sumit Singh, Durga Toshniwal, Akhil Gupta, Shreyas Verma
2016	J	`jnl`	Online sparse class imbalance learning on big data. Neurocomputing Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao
2016	J	`jnl`	Twitter Can Predict Your Next Place of Visit. Int. J. Distributed Sens. Networks Arun Chauhan, Ravi Tejwani, Durga Toshniwal
2015	J	`jnl`	A data mining framework to analyze road accident data. J. Big Data Sachin Kumar, Durga Toshniwal
2015	—	`conf`	How Has Twitter Changed the Event Discussion Scenario? A Spatio-temporal Diffusion Analysis. BigData Congress Purva Pruthi, Anu Yadav, Farheen Abbasi, Durga Toshniwal
2015	—	`conf`	Multistage Classification for Cardiovascular Disease Risk Prediction. BDA Durga Toshniwal, Bharat Goel, Hina Sharma
2015	J	`jnl`	Online Anomaly Detection via Class-Imbalance Learning. CoRR Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao
2015	—	`conf`	Online anomaly detection via class-imbalance learning. IC3 Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao
2014	—	`conf`	A Generalized Relationship Mining Method for Social Media Text Data. MLDM Tuhin Sharma, Durga Toshniwal
2014	B	`conf`	Aspect based Summarization of Context Dependent Opinion Words. KES Hitesh Kansal, Durga Toshniwal
2014	C	`conf`	EventStory: Event Detection Using Twitter Stream Based on Locality. IDEAL Sorab Bisht, Durga Toshniwal
2014	—	`conf`	Trend Analysis of Time Series Data Using Data Mining Techniques. BigData Congress Arpit Baheti, Durga Toshniwal
2014	J	`jnl`	Variance and density-based anomaly identification and ranking for evolving data streams. Int. J. Comput. Intell. Stud. Yogita Thakran, Durga Toshniwal
2013	C	`conf`	A Novel Agglomerative Hierarchical Approach for Clustering in Medical Databases. ISI Yogita Thakran, Durga Toshniwal
2013	—	`conf`	Anomaly Detection and Similarity Search in Neutron Monitor Data for Predictive Maintenance of Nuclear Power Plants. ADCONS Kapil Agarwal, Durga Toshniwal, Pramod K. Gupta, Vikas Khurana, Pushp Upadhyay
2013	J	`jnl`	Clustering genome data based on approximate matching. Int. J. Data Anal. Tech. Strateg. Nagamma Patil, Durga Toshniwal, Kumkum Garg
2013	—	`conf`	Extracting anomalies from time sequences derived from nuclear power plant data by using fixed width clustering algorithm. ICACCI Aditya Gupta, Durga Toshniwal, Pramod K. Gupta, Vikas Khurana, Pushp Upadhyay
2013	B	`conf`	Feature based Summarization of Customers' Reviews of Online Products. KES Kushal Bafna, Durga Toshniwal
2013	J	`jnl`	Privacy preserving association rule mining over distributed databases using genetic algorithm. Neural Comput. Appl. Bettahally N. Keshavamurthy, Asad Khan, Durga Toshniwal
2013	C	`conf`	Smart Phone Based Indoor Pedestrian Localization System (S). SEKE Lokesh Agrawal, Durga Toshniwal
2013	—	`conf`	Smart Phone Based Indoor Pedestrian Localization System. ICCSA (6) Lokesh Agrawal, Durga Toshniwal
2013	—	`conf`	Sub-event detection during natural hazards using features of social media data. WWW (Companion Volume) Dhekar Abhik, Durga Toshniwal
2012	—	`conf`	A Novel Rough Set Based Clustering Approach for Streaming Data. SocProS Yogita Thakran, Durga Toshniwal
2012	C	`conf`	A framework for classification using genetic algorithm based clustering. ISDA Satish Gajawada, Durga Toshniwal
2012	J	`jnl`	Corrigendum to "Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams" [J. Network Comput. Appl. 35 (3) (2012) 1116-1129]. J. Netw. Comput. Appl. Bettahally N. Keshavamurthy, Durga Toshniwal, Bhavani K. Eshwar
2012	—	`conf`	Distributed frequent itemset mining framework for incremental data using MPI-style WSRF services. ICACCI Harish Verma, Durga Toshniwal, Sateesh Kumar Peddoju
2012	J	`jnl`	Effective framework for protein structure prediction. Int. J. Funct. Informatics Pers. Medicine Nagamma Patil, Durga Toshniwal, Kumkum Garg
2012	J	`jnl`	Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams. J. Netw. Comput. Appl. Bettahally N. Keshavamurthy, Durga Toshniwal, Bhavani K. Eshwar
2012	—	`conf`	Pre-clustering algorithm for anomaly detection and clustering that uses variable size buckets. RAIT Manish Sharma, Durga Toshniwal
2012	C	`conf`	Unsupervised outlier detection in streaming data using weighted clustering. ISDA Yogita Thakran, Durga Toshniwal
2011	J	`jnl`	A New Approach: Role of Data Mining in Prediction of Survival of Burn Patients. J. Medical Syst. Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal, Siddeshwar Biradar
2011	J	`jnl`	Classification of type-2 diabetic patients by using Apriori and predictive Apriori. Int. J. Comput. Vis. Robotics Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal
2011	—	`conf`	Optimal Clustering Method Based on Genetic Algorithm. SocProS (2) Satish Gajawada, Durga Toshniwal, Nagamma Patil, Kumkum Garg
2011	—	`conf`	Species identification based on approximate matching. Bangalore Compute Conf. Nagamma Patil, Durga Toshniwal, Kumkum Garg
2010	—	`conf`	A Border-Based Approach for Hiding Fuzzy Weighted Sensitive Itemsets. DMIN Durga Toshniwal, Mridula Verma
2010	J	`jnl`	Effective framework for prediction of disease outcome using medical datasets: clustering and classification. Int. J. Comput. Intell. Stud. Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal
2010	—	`conf`	Efficient Mining of Frequent Items Coupled with Weight and /or Support over Progressive Databases. ICDEM Bettahally N. Keshavamurthy, Mitesh Sharma, Durga Toshniwal
2010	J	`jnl`	Efficient Support Coupled Frequent Pattern Mining Over Progressive Databases CoRR Bettahally N. Keshavamurthy, Mitesh Sharma, Durga Toshniwal
2010	—	`conf`	Hiding co-occurring sensitive patterns in progressive databases. EDBT/ICDT Workshops Amruta Mhatre, Durga Toshniwal
2010	J	`jnl`	Hybrid prediction model for Type-2 diabetic patients. Expert Syst. Appl. Bankat M. Patil, Ramesh Chandra Joshi, Durga Toshniwal
2010	—	`conf`	Impact of K-Means on the Performance of Classifiers for Labeled Data. IC3 (1) Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal
2010	—	`conf`	Instance-Based Classification of Streaming Data Using Emerging Patterns. ICT Mohd. Amir, Durga Toshniwal
2010	—	`conf`	Missing Value Imputation Based on K-Mean Clustering with Weighted Distance. IC3 (1) Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal
2010	—	`conf`	Privacy-Preserving Naïve Bayes Classification Using Trusted Third Party and Offset Computation over Distributed Databases. ICT Bettahally N. Keshavamurthy, Mitesh Sharma, Durga Toshniwal
2010	J	`jnl`	Shape pattern matching: A tool to cluster unstructured text documents. J. Comput. Methods Sci. Eng. Durga Toshniwal, Rishiraj Saha Roy
2009	Misc	`conf`	A Hierarchical Clustering Scheme for Unstructured Text Data. IKE Durga Toshniwal, Rishiraj Saha Roy
2009	J	`jnl`	Feature extraction from time series data. J. Comput. Methods Sci. Eng. Durga Toshniwal
2009	C	`conf`	Privacy Preserving Sequential Pattern Mining in Progressive Databases Using Noisy Data. IV Amruta Mhatre, Mridula Verma, Durga Toshniwal
2009	—	`conf`	Using Shape Patterns for Clustering Unstructured Text Documents. SEDE Durga Toshniwal, Rishiraj Saha Roy
2008	—	`conf`	E-CAP: An Extended Capability Based Mechanism to Limit Distributed Denial of Service Attacks. ICETET Rajeev Singh, Suman Das, Durga Toshniwal, Manoj Mishra, Ramesh C. Joshi
2008	—	`conf`	Using Moments for Feature Extraction from Time Series Data. SEDE Durga Toshniwal
2007	J	`jnl`	Distributed Certification Authority for Mobile Ad Hoc Networks - A Dynamic Approach. J. Convergence Inf. Technol. Sanjay Raghani, Durga Toshniwal
2007	—	`conf`	Finding Associations in Time Series Data Using Centroids. DMIN Durga Toshniwal, Ramesh C. Joshi
2005	Misc	`conf`	Finding Similarity in Time Series Data by Method of Time Weighted Moments. ADC Durga Toshniwal, Ramesh C. Joshi
2005	J	`jnl`	Similarity Search in Time Series Data Using Time Weighted Slopes. Informatica (Slovenia) Durga Toshniwal, Ramesh C. Joshi
2004	C	`conf`	Similarity search in time series databases using moments. ICMLA Durga Toshniwal, Ramesh Chandra Joshi