Toward Connectionist Parsing. - Steven L. Small; Garrison W. Cottrell; Lokendra Shastri (AAAI, 1982)

Evidential Reasoning in Semantic Networks: A Formal Theory. - Lokendra Shastri; Jerome A. Feldman (IJCAI, 1985)

Research in Natural Language Processing. - Aravind K. Joshi; Timothy W. Finin; Dale Miller 001; Lokendra Shastri; Bonnie L. Webber (HLT, 1986)

Learning Phonetic Features Using Connectionist Networks. - Raymond L. Watrous; Lokendra Shastri (IJCAI, 1987)

Learned phonetic discrimination using connectionist networks. - Raymond L. Watrous; Lokendra Shastri; Alexander H. Waibel (ECST, 1987)

Parallel processing in computational linguistics. - Garrison W. Cottrell; Pradip Dey; Joachim Diederich; Peter A. Reich; Lokendra Shastri; Akinori Yonezawa (COLING, 1988)

A Connectionist Approach to Knowledge Representation and Limited Inference. - Lokendra Shastri (Cogn. Sci., 1988)

Connectionism, Knowledge Representation, and Effective Reasoning. - Lokendra Shastri (Wissensbasierte Systeme, 1989)

Default Reasoning in Semantic Networks: A Formalization of Recognition and Inheritance. - Lokendra Shastri (Artif. Intell., 1989)

An Optimally Efficient Limited Inference System. - Lokendra Shastri; Venkat Ajjanagadde (AAAI, 1990)

An Optimally Efficient, Limited Inference, Connectionist Rule-Based Reasoning System with an Included Type Hierarchy. - Lokendra Shastri; Venkat Ajjanagadde; D. R. Mani (Dagstuhl Seminar on Parallelization in Inference Systems, 1990)

Why Semantic Networks? - Lokendra Shastri (Principles of Semantic Networks, 1991)

Rules and Variables in Neural Nets. - Venkat Ajjanagadde; Lokendra Shastri (Neural Comput., 1991)

Handprinted digit recognition using spatiotemporal connectionist models. - Thomas Fontaine; Lokendra Shastri (CVPR, 1992)

A Computational Model of Tractable Reasoning - Taking Inspiration from Cognition. - Lokendra Shastri (IJCAI, 1993)

Guest Editor's Introduction. - Lokendra Shastri (IEEE Expert, 1994)

Incremental character recognition with feature attribution. - Ré Audouin; Lokendra Shastri (ICDAR, 1995)

Recognizing Handwritten Digit Strings Using Modular Spatio-temporal Connectionist Networks. - Lokendra Shastri; Thomas Fontaine (Connect. Sci., 1995)

Temporal Compositional Processing by a DSOM Hierarchical Model. - Claudio M. Privitera; Lokendra Shastri (ICANN, 1996)

Massively parallel knowledge representation and reasoning: Taking a cue from the brain. - Lokendra Shastri; Deepak R. Mani (Parallel Processing for Artificial Intelligence 3, 1997)

Types and Quantifiers in SHRUTI: A Connectionist Model of Rapid Reasoning and Relational Processing. - Lokendra Shastri (Hybrid Neural Systems, 1998)

Soft Computing in SHRUTI - A Neurally Plausible Model of Reflexive Reasoning and Relational Information Processing. - Lokendra Shastri; Carter Wendelken (IIA/SOCO, 1999)

Incremental class learning-an approach to longlife and scalable learning. - Jacek Mandziuk; Lokendra Shastri (IJCNN, 1999)

Advances in SHRUTI-A Neurally Motivated Model of Relational Knowledge Representation and Rapid Inference Using Temporal Synchrony. - Lokendra Shastri (Appl. Intell., 1999)

Recruitment of binding and binding-error detector circuits via long-term potentiation. - Lokendra Shastri (Neurocomputing, 1999)

Automatic phonetic transcription of spontaneous speech (american English). - Shuangyu Chang; Lokendra Shastri; Steven Greenberg (INTERSPEECH, 2000)

Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation. - Lokendra Shastri (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

A computational model of episodic memory formation in the hippocampal system. - Lokendra Shastri (Neurocomputing, 2001)

A computationally efficient abstraction of long-term potentiation. - Lokendra Shastri (Neurocomputing, 2002)

Incremental class learning approach and its application to handwritten digit recognition. - Jacek Mandziuk; Lokendra Shastri (Inf. Sci., 2002)

The role of temporal coding in the processing of relational information in the mind-brain. - Lokendra Shastri (IJCNN, 2003)

Learning structured representations. - Lokendra Shastri; Carter Wendelken (Neurocomputing, 2003)

Multiple instantiation and rule mediation in SHRUTI. - Carter Wendelken; Lokendra Shastri (Connect. Sci., 2004)

Connectionist mechanisms for cognitive control. - Carter Wendelken; Lokendra Shastri (Neurocomputing, 2005)

A Neural Architecture for Reasoning, Decision-making, and Episiodic Memory: Taking a Cue from the Brain (Abstract of Invited Talk). - Lokendra Shastri (NeSy, 2007)

SHRUTI: A Neurally Motivated Architecture for Rapid, Scalable Inference. - Lokendra Shastri (Perspectives of Neural-Symbolic Integration, 2007)

Sentiment Extraction: Integrating Statistical Parsing, Semantic Analysis, and Common Sense Reasoning. - Lokendra Shastri; Anju G. Parvathy; Abhishek Kumar; John Wesley; Rajesh Balakrishnan (IAAI, 2010)

Suggestion Mining from Customer Reviews. - Amar Viswanathan; Prasanna Venkatesh; Bintu G. Vasudevan; Rajesh Balakrishnan; Lokendra Shastri (AMCIS, 2011)

Reports of the AAAI 2011 Conference Workshops. - Noa Agmon; Vikas Agrawal; David W. Aha; Yiannis Aloimonos; Donagh Buckley; Prashant Doshi; Christopher W. Geib; Floriana Grasso; Nancy L. Green; Benjamin Johnston; Burt Kaliski; Christopher Kiekintveld; et al. (AI Mag., 2012)

Reports of the AAAI 2012 Conference Workshops. - Vikas Agrawal; Jorge A. Baier; Kostas E. Bekris; Yiling Chen 001; Artur S. d'Avila Garcez; Pascal Hitzler; Patrik Haslum; Dietmar Jannach; Edith Law; Freddy Lécué; Luís C. Lamb; Cynthia Matuszek; et al. (AI Mag., 2012)

The AAAI-13 Conference Workshops. - Vikas Agrawal; Christopher Archibald; Mehul Bhatt; Hung Bui 001; Diane J. Cook; Juan Cortés; Christopher W. Geib; Vibhav Gogate; Hans W. Guesgen; Dietmar Jannach; Michael Johanson; Kristian Kersting; et al. (AI Mag., 2013)

Architectures for Activity Recognition and Context-Aware Computing. - Christopher W. Geib; Vikas Agrawal; Gita Sukthankar; Lokendra Shastri; Hung Bui 001 (AI Mag., 2015)