• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 128 matches

• 2024
• 
  Mitali Desai, Rupa G. Mehta, Dipti P. Rana:
  Anatomising the impact of ResearchGate followers and followings on influence identification. J. Inf. Sci. 50(3): 607-624 (2024)
• 
  Mitali Desai, Rupa G. Mehta, Dipti P. Rana:
  Contextual analysis of scholarly communications to identify the source of disinformation on digital scholarly platforms. Kybernetes 53(4): 1434-1449 (2024)
• 
  Biraja Ghoshal, William Woof, Bernardo Mendes, Saoud Al-Khuzaei, Thales Antonio Cabral De Guimaraes, Malena Daich Varela, Yichen Liu, Sagnik Sen, Siying Lin, Mital Shah, Yu Fujinami-Yokokawa, Andrew R. Webster, Omar A. Mahroo, Kaoru Fujinami, Frank G. Holz, Philipp Herrmann, Juliana Sallum, Konstantinos Balaskas, Savita Madhusudhan, Susan M. Downes, Michel Michaelides, Nikolas Pontikos:
  Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction. UNSURE@MICCAI 2024: 47-58
• 
  Avinash Anand, Raj Jaiswal, Abhishek Dharmadhikari, Atharva Marathe, Harsh Popat, Harshil Mital, Ashwin R. Nair, Kritarth Prasad, Sidharth Kumar, Astha Verma, Rajiv Ratn Shah, Roger Zimmermann:
  GeoVQA: A Comprehensive Multimodal Geometry Dataset for Secondary Education. MIPR 2024: 102-108
• 2023
• 
  Mitali Desai, Rupa G. Mehta, Dipti P. Rana:
  ScholarRec: a scholars' recommender system that combines scholastic influence and social collaborations in academic social networks. Int. J. Data Sci. Anal. 16(2): 203-216 (2023)
• 
  Vibha Gujar, Shankar Srinivasan, Dinesh P. Mital, Frederick D. Coffman:
  Patient related risks and outcome assessments on interhospital surgical site infection rates. Int. J. Medical Eng. Informatics 15(2): 177-190 (2023)
• 
  Jay Patel, Dinesh P. Mital, Vaishali Singhal, Shankar Srinivasan, Huanmei Wu, Sashi Mehta:
  Feasibility of automatic differential diagnosis of endodontic origin periapical lesions - a pilot study. Int. J. Medical Eng. Informatics 15(5): 430-441 (2023)
• 
  Pratima Tandon, Dinesh P. Mital, Shankar Srinivasan, Riddhi Vyas:
  Clinical decision support system for the diagnosis of Hepatitis C virus. Int. J. Medical Eng. Informatics 15(4): 352-370 (2023)
• 
  Pratima Tandon, Dinesh P. Mital, Shankar Srinivasan, Riddhi Vyas:
  Hepatitis C virus and cirrhosis: an analysis of incidence and cost of management of disease in the USA. Int. J. Medical Eng. Informatics 15(5): 470-483 (2023)
• 
  Saibal Majumder, Rintu Kutum, Debnarayan Khatua, Arif Ahmed Sekh, Samarjit Kar, Mitali Mukerji, Bhavana Prasher:
  On intelligent Prakriti assessment in Ayurveda: a comparative study. J. Intell. Fuzzy Syst. 45(6): 9827-9844 (2023)
• 
  Debnarayan Khatua, Arif Ahmed Sekh, Rintu Kutum, Mitali Mukherji, Bhavana Prasher, Samarjit Kar:
  Classification of Ayurveda constitution types: a deep learning approach. Soft Comput. 27(9): 5309-5317 (2023)
• 2022
• 
  Saheed Garnaik, Prasanna Kumar Samant, Mitali Mandal, Tushar Ranjan Mohanty, Sanat Kumar Dwibedi, Ranjan Kumar Patra, Kiran Kumar Mohapatra, R. H. Wanjari, Debadatta Sethi, Dipaka Ranjan Sena, Tek Bahadur Sapkota, Jagmohan Nayak, Sridhar Patra, Chiter Mal Parihar, Hari Sankar Nayak:
  Untangling the effect of soil quality on rice productivity under a 16-years long-term fertilizer experiment using conditional random forest. Comput. Electron. Agric. 197: 106965 (2022)
• 
  Jojy Cheriyan, Dinesh P. Mital, Shankar Srinivasan, Riddhi Vyas:
  Clinical decision support system for early diagnosis and intervention in multiple sclerosis. Int. J. Medical Eng. Informatics 14(3): 264-271 (2022)
• 
  Nesren Farhah, Shankar Srinivasan, Dinesh P. Mital, Frederick D. Coffman:
  The effect of socioeconomic factors on health-related quality of life among adults with depressive disorder in the USA. Int. J. Medical Eng. Informatics 14(3): 229-239 (2022)
• 
  Vibha Gujar, Shankar Srinivasan, Dinesh P. Mital, Frederick D. Coffman:
  Analysing hospital factors influencing interhospital surgical site infection rates. Int. J. Medical Eng. Informatics 14(5): 424-438 (2022)
• 
  Mitali Sinha, Pramit Bhattacharyya, Sidhartha Sankar Rout, Neha Bhairavi Prakriya, Sujay Deb:
  Securing an Accelerator-Rich System From Flooding-Based Denial-of-Service Attacks. IEEE Trans. Emerg. Top. Comput. 10(2): 855-869 (2022)
• 
  Erin Lee, Mitali Kamat, Lucas Temor, Christopher M. Schiafone, Lillian Fan, Jessie Liu, Peter Coppin, Alvaro Uribe-Quevedo, Robert Ingino, Ali Raza Syed, David Rojas, Teresa Lee, Sharman Perera, Adam Dubrowski, Mahadeo Sukhai:
  Prototyping a Spatial Skills AR Authoring Tool for Partially Sighted, Blind, and Sighted Individuals. GEM 2022: 1-6
• 2021
• 
  Nimisha Patel, Riddhi Vyas, Shankar Srinivasan, Dinesh P. Mital:
  Hospitalisation characteristics of metabolic syndrome patients. Int. J. Medical Eng. Informatics 13(6): 449-460 (2021)
• 
  Justin Beck, John Harvey, Kristina Kaylen, Corrado Sala, Melinda Urban, Peter Vermeulen, Norman Wilken, Wei Xie, Dan Iliescu, Pratik Mital:
  Carnival Optimizes Revenue and Inventory Across Heterogenous Cruise Line Brands. INFORMS J. Appl. Anal. 51(1): 26-41 (2021)
• 
  Mitali Chugh, Nitin Chanderwal, Rajesh Kumar Upadhyay, Devendra Kumar Punia:
  Antecedents and consequences of knowledge sharing for software process improvement in the Indian software industry. J. Softw. Evol. Process. 33(2) (2021)
• 
  Mitali Sinha, Sri Harsha Gade, Pramit Bhattacharyya, Sujay Deb:
  Design Space Optimization of Shared Memory Architecture in Accelerator-rich Systems. ACM Trans. Design Autom. Electr. Syst. 26(4): 30:1-30:31 (2021)
• 
  Anandpushparaj Jeganathan, Mitali Gupta, Dushantha Nalin K. Jayakody, P. Muthuchidambaranathan:
  Outage and Throughput Performance of Half/Full-Duplex UAV-Assisted Co-Operative Relay Networks Over Weibull Fading Channel. Wirel. Pers. Commun. 120(3): 2389-2407 (2021)
• 
  Mitali Bafna, Boaz Barak, Pravesh K. Kothari, Tselil Schramm, David Steurer:
  Playing unique games on certified small-set expanders. STOC 2021: 1629-1642
• 2020
• 
  Biswajit Sarkar, Bikash Koli Dey, Sarla Pareek, Mitali Sarkar:
  A single-stage cleaner production system with random defective rate and remanufacturing. Comput. Ind. Eng. 150: 106861 (2020)
• 
  Mitali Chugh, Nitin Chanderwal, Rajesh Kumar Upadhyay, Devendra Kumar Punia:
  Effect of knowledge management on software product experience with mediating effect of perceived software process improvement: An empirical study for Indian software industry. J. Inf. Sci. 46(2) (2020)
• 
  Sidhartha Sankar Rout, Akshat Singh, Suyog Bhimrao Patil, Mitali Sinha, Sujay Deb:
  Security Threats in Channel Access Mechanism of Wireless NoC and Efficient Countermeasures. ISCAS 2020: 1-5
• 
  Rogelio Ruzcko Tobias, Luigi Carlo M. de Jesus, Matt Ervin Mital, Sandy Lauguico, Marielet Guillermo, Edwin Sybingco, Argel A. Bandala, Elmer P. Dadios:
  Android Application for Chest X-ray Health Classification From a CNN Deep Learning TensorFlow Model. LifeTech 2020: 255-259
• 
  Rogelio Ruzcko Tobias, Luigi Carlo M. de Jesus, Matt Ervin Mital, Sandy Lauguico, Marielet Guillermo, Ryan Rhay P. Vicerra, Argel A. Bandala, Elmer P. Dadios:
  Faster R-CNN Model With Momentum Optimizer for RBC and WBC Variants Classification. LifeTech 2020: 235-239
• 
  Rogelio Ruzcko Tobias, Luigi Carlo M. de Jesus, Matt Ervin Mital, Sandy C. Lauguico, Marielet Guillermo, Edwin Sybingco, Argel A. Bandala, Elmer P. Dadios:
  CNN-based Deep Learning Model for Chest X-ray Health Classification Using TensorFlow. RIVF 2020: 1-6
• 
  Matt Ervin Mital, Rogelio Ruzcko Tobias, Herbert Villaruel, Jose Martin Maningo, Robert Kerwin C. Billones, Ryan Rhay Vicerra, Argel A. Bandala, Elmer P. Dadios:
  Transfer Learning Approach for the Classification of Conidial Fungi (Genus Aspergillus) Thru Pre-trained Deep Learning Models. TENCON 2020: 1069-1074

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